Diamond et al. recently identified malaria and dengue as high-priority diseases in wastewater surveillance for climate-change-driven shifts in pathogen dynamics. When employing wastewater surveillance for vector-borne pathogens it is essential to take into account the geographical context, pathogen biology, and the availability of sewage networks for meaningful interventions.
In the framework of climate change, the hazard caused by wildfires approaching the anthropic settlements is raising an increasing concern. Fatalities and relevant damage to properties were recently caused by wildfires affecting the Wildland-Urban and Wildland-Industrial Interfaces. Industrial sites storing large quantities of hazardous materials are vulnerable to interface fires, which have the potential to trigger specific cascading events such as Natech scenarios followed by domino effects. The present study aims at providing a methodology for the quantitative assessment of the vulnerability of industrial sites exposed to wildfires. The approach provides a novel framework for the identification and quantification of all the chains of failures that may occur due to wildfires or interface fires approaching industrial sites. The methodology accounts for the thermal radiation from fires in both primary Natech scenarios and cascading scenarios triggered by domino effects. The dynamic features of interface fires and the synergistic effects of multiple fires are also taken into account. The results of a case study demonstrated the importance of considering the dynamic behavior of wildfire, which strongly affects the vulnerability of industrial structures. The results also evidence the importance of emergency management and first response on the overall vulnerability figures.
Disasters such as the Ahr Valley flood in 2021 make us aware of the importance of functioning healthcare facilities. Their functionality depends on the availability of drinking water. Water safety planning is a long-established method to increase the safety of water utilities. Our work supports the implementation of water safety planning in healthcare facilities during normal operations and emergency situations concerning the water supply. The authors conducted a stakeholder mapping exercise and problem awareness analysis. Based on these results, it was identified what is needed to overcome barriers to water safety plan (WSP). Building on the existing procedures, the WSP concept, and latest scientific findings, an event-specific risk assessment method for healthcare facilities was developed and applied in a case study. Based on an analysis of water demand, water-related processes, and infrastructure, potentially necessary components for establishing an emergency supply were identified. For these, based on technical and legal requirements, the planning principles were developed, and prototypes of components for emergency water supply were built. They were tested in pilot trials, particularly regarding hygienic safety. For the management of crises in hospitals, a survey was carried out on the command structures used in practice. Finally, recommendations were drawn based on the German Hospital Incident Command System.
BACKGROUND: Maternal exposure to air pollution during pregnancy is associated with adverse birth outcomes, although less is known for wildfire smoke. This systematic review evaluated the association between maternal exposure to wildfire smoke during pregnancy and the risk of perinatal, obstetric, and early childhood health outcomes. METHODS: We searched CINAHL Complete, Ovid/EMBASE, Ovid/MEDLINE, ProQuest, PubMed, Scopus, Web of Science, and Google Scholar to identify relevant epidemiological observational studies indexed through September 2023. The screening of titles, abstracts, and full-texts, data extraction, and risk of bias assessment was performed by pairs of independent reviewers. RESULTS: Our systematic search yielded 28,549 records. After duplicate removal, we screened 14,009 studies, identifying 31 for inclusion in the present review. Data extraction highlighted high methodological heterogeneity between studies, including a lack of geographic variation. Approximately 56.5% and 16% originated in the United States and Brazil, respectively, and fewer in other countries. Among the studies, wildfire smoke exposure during pregnancy was assessed using distance of residence from wildfire-affected areas (n = 15), measurement of air pollutant concentration during wildfires (n = 11), number of wildfire records (n = 3), aerosol index (n = 1), and geographic hot spots (n = 1). Pooled meta-analysis for birthweight and low birthweight were inconclusive, likely due to low number of methodologically homogenous studies. However, the reviewed studies provided suggestive evidence for an increased risk of birthweight reduction, low birthweight, preterm birth, and other adverse health outcomes. CONCLUSIONS: This review identified 31 studies evaluating the impacts of maternal wildfire smoke exposure on maternal, infant, and child health. Although we found suggestive evidence of harm from exposure to wildfire smoke during pregnancy, more methodologically homogenous studies are required to enable future meta-analysis with greater statistical power to more accurately evaluate the association between maternal wildfire smoke and adverse birth outcomes and other health outcomes.
Background: Climate change is a global challenge that is resulting in an increased occurrence of extreme weather events. Extreme weather events have been shown to negatively impact various health conditions, leading to an overall increase in morbidity and mortality. Ear, nose, and throat (ENT) emergencies are among the most common reasons for emergency department visits (EV). Acute otitis externa (AOE), an inflammatory external auditory canal skin infection, is the second most common condition for ENT-related emergency admissions. Previously, AOE has been associated with higher temperatures during summer; However, no data exists on extreme weather events’ immediate and delayed effects on AOE-related EVs. Identifying these relationships could help predict EVs, optimize health resources, and relieve its significant burden on healthcare systems. Objective: This study aimed to associate the effects of extreme weather events with the immediate and delayed risk of AOE-related EVs.Methods: A total of 1522 AOE-related EVs from the ENT outpatient clinic of the Vienna General Hospital between 2015 and 2018 were analyzed. Meteorological data for the same study period was obtained from the Austrian Central Institution for Meteorology and Geodynamics for Vienna and a distributed lag non-linear model used to associate extreme weather events with the total number of AOE-related EVs. Relative risk (RR) and cumulative RR were analyzed over a period of 14 days.Results: AOE-related EVs showed a pronounced seasonality, with the highest occurrence in summer. The RR for AOE-related EVs was significantly increased one day after high-temperature events for seven days, to a maximum of 1.95 [1.04-3.65]. Low and high relative humidity significantly reduced the same-day occurrence of AOE-related EVs to 0.65 [0.46-0.92] and 0.74 [0.58-0.95]. Increased precipitation and wind speed significantly decreased the RR of AOE-related EVs four and seven days after occurrence. After one day, low atmospheric pressure events showed an increased RR of 1.42 [1.02-1.98] in AOE-related EVs.Conclusions: Extreme weather events significantly impact AOE-related EVs. While high mean temperatures were positively correlated with AOE-related EVs, low humidity was found to have a negative same-day effect, sup-porting the idea of multiple factors being involved in increasing the susceptibility for AOE. Knowledge of the pattern of events could allow the implementation of time-optimized prevention strategies to reduce the incidence of AOE, the frequency of EVs, and the burden on health care systems.
Identifying climate change risks, vulnerabilities of exposed populations, and implemented responses to climate change are crucial for developing effective strategies to mitigate climate hazards. However, existing climate change assessment indexes still have some limitations, such as insufficient consideration of policy response, limited coverage of countries, and lack of a multidimensional perspective. In this study, we developed a novel climate change impacts and responses (CCIR) index that incorporates comprehensive information on climate risks, disease burden, and mitigation actions in response to climate risks and damage. To our best knowledge, the CCIR index is the first of its kind that explores variations in climate risks, impacts, and responses across countries to identify vulnerabilities and find more targeted solutions. A positive correlation was found between the CCIR index and national Gross Domestic Product per capita, indicating that wealthier countries might allocate more resources toward mitigating climate impacts. Moreover, countries with better climate education tended to have a lower carbon footprint, highlighting the importance of climate education. Furthermore, countries with lower risks of emerging infectious diseases were more likely to consume more renewable energy. The results highlight the value of using a multidimensional CCIR framework to analyze the interactions among socioeconomic factors, environmental policies, and climate change risks in 158 countries. This comprehensive approach provides actionable insights to mitigate climate impacts and improve national climate resilience. It also streamlines monitoring efforts and promotes joint climate action across international boundaries. By identifying climate risks and opportunities, the CCIR index can help policymakers design, refine, and implement adaptation policies and measures to respond to the impacts of climate change.
BACKGROUND: Climate change is an evolving phenomenon that impacts the quality of life and human health, especially of the vulnerable and marginalized, the chronically ill, children and women worldwide. International health organizations are including the mitigation of climate change in their agenda and healthcare professionals are having a progressively active role in this fight, by generating knowledge, training and advocacy. It is becoming increasingly important for healthcare students to understand how the environment influences health and the measures and precautions that the health community can implement in the fight against climate change in order to meet the future needs of populations and communities. AIM: The main objective is to describe the degree of knowledge and interest of nursing students of the Comunidad de Madrid about climate change in order to explore their need for training and education on the subject, and ultimately meet the future needs of patients and healthcare institutions. SETTING/PARTICIPANTS: The population sample selected consists of nursing students of any year of 14 different universities in the Comunidad de Madrid. DESIGN AND METHODS: This descriptive cross-sectional study was carried out using the “International Health Survey” questionnaire, validated and published by the principal investigator from George Mason University, reformulated, under permission, for the study population. The data collection has been carried through direct contact with institution’s directors. RESULTS: Survey’s results have shown participants to have lack of training and education regarding the effects of climate change, while demonstrating concern, interest and motivation in learning. Results also reveal differences between students based on gender, the year of attendance, and the type of university (public, private, or affiliated). CONCLUSION: Including climate change education in the nursing school curricula of Comunidad de Madrid would benefit healthcare institutions as future nurses will be prepared to meet the needs of populations and communities and be active in reducing the effects of climate change.
Leishmaniasis is a zoonotic disease transmitted to humans by a protozoan parasite through sandfly vectors and multiple vertebrate hosts. The Pan American Health Organization reported a declining trend in cases, with Brazil, Colombia, Peru, Nicaragua, and Bolivia having the most cases in 2020. There are still knowledge gaps in transmission and the parasite-host relationship. Ecological niche modeling has been used to study host-vector relationships, disease dynamics, and the impact of climate change. Understanding these aspects can aid in early surveillance and vector control strategies. The potential distribution of five host species associated with the transmission of cutaneous leishmaniasis (CL) was modeled. Occurrence data were collected for each host species, and environmental variables were used to build the models. Climatic data from El Niño, La Niña, and Neutral episodes were used to compare the predicted distributions. Additionally, the potential distributions of four vector species were compared to identify overlaps with host species. Niche analysis was conducted to evaluate changes in vector niches across episodes and to identify host-vector pairs based on niche overlap in geographic and environmental spaces. After spatial thinning, 467 records were obtained, and 1,190 candidate models were evaluated for each species. Results showed the distribution of occurrences in the environmental space, highlighting a high risk of extrapolation beyond the calibration areas. Movement-Oriented Parity analysis revealed distinct distribution patterns under different climate conditions, with areas of environmental similarity identified. Bradypus variegatus exhibited a broad potential distribution, while Dasypus novemcinctus and Didelphis marsupialis had more restricted ranges. Sylvilagus braziliensis covered most of the Neotropics. Our study provides valuable insights into ecological niches and geographic ranges of these species, contributing to the understanding of cutaneous leishmaniasis transmission dynamics.
The adverse effects of climate change on human health are unfolding in real time. Environmental fragmentation is amplifying spillover of viruses from wildlife to humans. Increasing temperatures are expanding mosquito and tick habitats, introducing vector-borne viruses into immunologically susceptible populations. More frequent flooding is spreading water-borne viral pathogens, while prolonged droughts reduce regional capacity to prevent and respond to disease outbreaks with adequate water, sanitation, and hygiene resources. Worsening air quality and altered transmission seasons due to an increasingly volatile climate may exacerbate the impacts of respiratory viruses. Furthermore, both extreme weather events and long-term climate variation are causing the destruction of health systems and large-scale migrations, reshaping health care delivery in the face of an evolving global burden of viral disease. Because of their immunological immaturity, differences in physiology (e.g., size), dependence on caregivers, and behavioral traits, children are particularly vulnerable to climate change. This investigation into the unique pediatric viral threats posed by an increasingly inhospitable world elucidates potential avenues of targeted programming and uncovers future research questions to effect equitable, actionable change. IMPACT: A review of the effects of climate change on viral threats to pediatric health, including zoonotic, vector-borne, water-borne, and respiratory viruses, as well as distal threats related to climate-induced migration and health systems. A unique focus on viruses offers a more in-depth look at the effect of climate change on vector competence, viral particle survival, co-morbidities, and host behavior. An examination of children as a particularly vulnerable population provokes programming tailored to their unique set of vulnerabilities and encourages reflection on equitable climate adaptation frameworks.
Eco-anxiety, which refers to the anxiety experienced in response to worsening environmental conditions, is a growing global phenomenon. Climate change anxiety, due to the escalating impact of ongoing climate change, stands out as the most commonly recognized form of eco-anxiety. Nevertheless, numerous uncertainties persist regarding the relationship of this eco-anxiety response to pro-environmental behaviors, as well as its connection with trait anxiety and the perception of the environmental crisis. In this study, we conducted an analysis with a sample size of 431 participants to elucidate the respective implications of these factors, delving into the different facets of the eco-anxiety response: worry and anxiety-related impairments. We measured eco-worry using a brief 5-item scale and assessed climate anxiety-related impairments using the Climate Change Anxiety Scale (CCAS). Our findings reveal that eco-worry acts as a mediator between the perception of the environmental crisis and the manifestation of climate anxiety-related impairments. Furthermore, eco-worry plays a constructive role in relation to the commitment to pro-environmental behaviors, with no additional contribution from the climate anxiety reaction involving impairments. In summary, our findings underscore the existence of distinct constructs within the anxiety response to climate change and environmental issues, each with different contributing factors.
Few studies have examined the relationship between exposure to natural hazards and suicide and self-harm in youth. We extend prior research by investigating the association between multiple disasters and the risks of self-harm and suicide longitudinally in a nationally representative longitudinal cohort of adolescents 14 to 15 years to 18-19 years of age. Natural disasters were identified through parental self-reports for the local area. Different types of multiple disaster exposures were investigated including compound disasters (two or more disasters occurring in the last 12 months), cascading disasters (a disaster that leads to another disaster in the subsequent wave) and consecutive disasters (multiple disasters within the last two years or over an eight-year period). Using 8,714 person-waves of data from 2,908 adolescents, findings from random effect models suggest that parental reports of fire or floods increase the risk of self-harm ideation, self-harm, and suicidal ideation. Compound disasters of fire/flood and drought were also associated with increased risk of suicidal thoughts. Cascading disasters of drought followed by fire/flood increased the risks of self-harm but recurrent consecutive droughts were associated with lower risks of suicidal ideation. Australian adolescents are exposed to high rates of natural disasters that increase the risk of self-harm and thoughts of self-harm and suicide. Climate change will increase risk of natural disaster exposure for all countries. Despite these increased risks, there was resilience to disaster exposure particularly in the case of recurrent drought suggesting that youth, families and communities may well develop protective strategies to support mental health.
This study aims to examine the correlation between environmental literacy and levels of awareness of global climate change in nursing students. The cross-sectional and correlational design. 476 undergraduate nursing students. Data were collected with The Personal Information Form, the Awareness Scale of University Students about Global Climate Change, and Environmental Literacy Scale for Adults in March 2023. Descriptive statistics, correlation, and linear regression analysis (stepwise method) were used to analyze the data. The mean scores of the Environmental Literacy Scale and the Awareness Scale of University Students about Global Climate Change Scale were 87.31 ± 8.61 and 75.60 ± 14.86, respectively. A positive correlation was found between the awareness of global climate change and environmental literacy (p < 0.05). As participation in meetings on environmental problems, environmental concerns and awareness increased, awareness of global climate change increased. Nursing students had high levels of awareness of global climate change and environmental literacy. The awareness of nursing students on climate change and their environmental literacy levels are highly important in protecting public health against the adverse effects of climate change and reducing climate change through effective resource management in health services in the future. It is recommended that integrate courses related to environment health to curriculum of nursing school and in-service training during healthcare. The study draws attention to the Sustainable Development Goals related to climate change.
Excess winter mortality (EWM) has been used as a measure of how well populations and policy moderate the health effects of cold weather. We aimed to investigate long-term changes in the EWM of Aotearoa New Zealand (NZ), and potential drivers of change, and to test for structural breaks in trends. We calculated NZ EWM indices from 1876 (4,698 deaths) to 2020 (33,310 deaths), total and by age-group and sex, comparing deaths from June to September (the coldest months) to deaths from February to May and October to January. The mean age and sex-standardised EWM Index (EWMI) for the full study period, excluding 1918, was 1.22. However, mean EWMI increased from 1.20 for 1886 to 1917, to 1.34 for the 1920s, then reduced over time to 1.14 in the 2010s, with excess winter deaths averaging 4.5% of annual deaths (1,450 deaths per year) in the 2010s, compared to 7.9% in the 1920s. Children under 5 years transitioned from a summer to winter excess between 1886 and 1911. Otherwise, the EWMI age-distribution was J-shaped in all time periods. Structural break testing showed the 1918 influenza pandemic strain had a significant impact on trends in winter and non-winter mortality and winter excess for subsequent decades. It was not possible to attribute the post-1918 reduction in EWM to any single factor among improved living standards, reduced severe respiratory infections, or climate change.
PURPOSE: Older adults exhibit a wide range of capabilities and vulnerabilities that affect their capacity to respond to heat. This study analysed the associations between hot temperatures and Accident & Emergency (A&E) attendance taking into account older adult-focused social vulnerability. METHODS: Daily A&E attendance data of Young-old (65-74) and Old-old (75+) was obtained for Hong Kong 2010-2019 hot seasons and stratified into three Social Vulnerability Index (SVI) groups (Low, Moderate, High). Mean temperature (lag 0-2) was analysed on A&E attendance at each SVI using Generalized Additive Models and Distributed Lag Non-linear Models. RESULTS: High temperatures were associated with increased same-day (lag 0) relative risk (RR) of A&E attendance for Young-old and Old-old in High SVI districts, with RR being 1.024 (95 % CI: 1.011, 1.037) and 1.036 (95 % CI: 1.018, 1.053), respectively. The Old-old living in Moderate and Low SVI districts also demonstrated increased RR of 1.037 (95 % CI: 1.028, 1.047) and 1.022 (95 % CI: 1.009, 1.036), respectively. Fewer emergency visits were found on the subsequent day (lag 1) of hot temperatures. CONCLUSIONS: Older adults, both young-old and old-old, living in districts with higher social vulnerability tended to have increased risk of A&E attendance associated with same-day high temperature. With climate change and rapidly aging population, cities should prepare to meet needs of more vulnerable older adults in extreme heat.
This article presents the initiation and implementation of a systematic scientific and political cooperation in the Arctic related to environmental pollution and climate change, with a special focus on the role of the Arctic Monitoring and Assessment Programme (AMAP). The AMAP initiative has coordinated monitoring and assessments of environmental pollution across countries and parameters for the entire Arctic region. Starting from a first scientific assessment in 1998, AMAP’s work has been fundamental in recognizing, understanding and addressing environmental and human health issues in the Arctic, including those of persistent organic pollutants (POPs), mercury, radioactivity, oil, acidification and climate change. These scientific results have contributed at local and international levels to define and take measures towards reducing the pollution not only in the Arctic, but of the whole globe, especially the contaminant exposure of indigenous and local communities with a traditional lifestyle. The results related to climate change have documented the rapid changes in the Arctic and the strong feedback between the Arctic and the rest of the world. The lessons learned from the work in the Arctic can be beneficial for other regions where contaminants may accumulate and affect local and indigenous peoples living in a traditional way, e.g. in the Himalayas. Global cooperation is indispensable in reducing the long -range transported pollution in the Arctic.(c) 2023 The Authors. Published by Elsevier B.V. on behalf of Chinese Society for Environmental Sciences, Harbin Institute of Technology, Chinese Research Academy of Environmental Sciences. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Globally, there has been a significant rise in cholera cases and deaths, with an increase in the number of low- and middle-income countries (LMICs) reporting outbreaks. In parallel, plastic pollution in LMICs is increasing, and has become a major constituent of urban dump sites. The surfaces of environmental plastic pollution can provide a habitat for complex microbial biofilm communities; this so-called ‘plastisphere’ can also include human pathogens. Under conditions simulating a peri-urban environmental waste pile, we determine whether toxigenic Vibrio cholerae (O1 classical; O1 El Tor; O139) can colonise and persist on plastic following a simulated flooding event. Toxigenic V. cholerae colonized and persisted on plastic and organic waste for at least 14 days before subsequent transfer to either fresh or brackish floodwater, where they can further persist at concentrations sufficient to cause human infection. Taken together, this study suggests that plastics in the environment can act as significant reservoirs for V. cholerae, whilst subsequent transfer to floodwaters demonstrates the potential for the wider dissemination of cholera. Further understanding of how diseases interact with plastic waste will be central for combating infection, educating communities, and diminishing the public health risk of plastics in the environment.
Congenital infections can have devastating short- and long-term impacts on the developing fetus. Lymphocytic choriomeningitis virus (LCMV) is a zoonotic pathogen of concern that causes a severe congenital syndrome but is under-recognized and under-studied. Herein we review data on the natural animal reservoirs of LCMV, modes of transmission to humans, seroprevalence of LCMV worldwide in both pregnant and non-pregnant individuals, mechanisms of viral dissemination to placenta and fetus, and impact of climate change on viral transmission. We highlight opportunities to enhance awareness of congenital LCMV and provide recommendations for prevention and monitoring among at-risk pregnant people. IMPACT: Key message of the article: LCMV is a zoonotic virus that poses a major threat to maternal-fetal health. Adds to the existing literature: We comprehensively address transmission of LCMV from the natural reservoir to the pregnant individual, placenta, and fetus. Impact: Available data call for enhanced patient and provider awareness about congenital LCMV during pregnancy, as well as a need for efforts to better define the seroprevalence and impact of congenital LCMV worldwide.
BACKGROUND: Climate change is a rapidly evolving public health problem warranting global attention in the 21st century. The World Health Organization declared that climate illiteracy is highly prevalent among older adults, especially in lower- and middle-income nations. AIM: To determine the effect of the Information-Motivation-Behavioral Skills Model-based intervention for climate change management practices among older adults. DESIGN: A quasi-experimental employed a pre-posttest, two-group research design. PARTICIPANTS: The studied sample comprised 80 older adults (aged 60 years and above), assigned to study and control groups (n = 40 each) after completing a baseline survey of six validated measures. RESULTS: The study group of proposed intervention based on IMB model demonstrated significant improvement in the mean scores of information (98.62 ± 3.56), motivation (90.14 ± 3.02), actual skills (84.13 ± 8.76), and practices (85.80 ± 3.94), p = 0.001. CONCLUSION: The intervention based on the Information-Motivation-Behavioral Skills Model has demonstrated credible feasibility in significantly improving the climate change-related information, motivation, skills, and management practices of older adults immediately after the posttest. It should be emphasized that this improvement showed a significant decline at the six-week mark; albeit the study participants’ scores remained significantly higher than their pre-test values, there is clearly a need for reinforcement to maintain positive outcomes over the long term. The existing outcomes call for replication of this intervention in other cohorts, such as uneducated older adults and those residing in assisted-living facilities.
Current efforts to adapt to climate change are not sufficient to reduce projected impacts. Vulnerability assessments are essential to allocate resources where they are needed most. However, current assessments that use principal component analysis suffer from multiple shortcomings and are hard to translate into concrete actions. To address these issues, this article proposes a novel data-driven vulnerability assessment within a risk framework. The framework is based on the definitions from the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, but some definitions, such as sensitivity and adaptive capacity, are clarified. Heat waves that occurred between 2001 and 2018 in Quebec (Canada) are used to validate the framework. The studied impact is the daily mortality rates per cooling degree-days (CDD) region. A vulnerability map is produced to identify the distributions of summer mortality rates in aggregate dissemination areas within each CDD region. Socioeconomic and environmental variables are used to calculate impact and vulnerability. We compared abilities of AutoGluon (an AutoML framework), Gaussian process, and deep Gaussian process to model the impact and vulnerability. We offer advice on how to avoid common pitfalls with artificial intelligence and machine-learning algorithms. Gaussian process is a promising approach for supporting the proposed framework. SHAP values provide an explanation for the model results and are consistent with current knowledge of vulnerability. Recommendations are made to implement the proposed framework quantitatively or qualitatively.
Climate-driven environmental change is increasingly impacting global fisheries and marine resource use. Fisheries provide a broad range of economic, social and cultural benefits while delivering essential contributions to nutrient security and human health. Despite this, little is known about how climate change will impact the availability and quality of seafood-derived nutrients. Here, we quantified spatial and temporal changes in the nutritional quality of the commercially harvested eastern school whiting, Sillago flindersi, sampled throughout the south-east Australian ocean warming hotspot. Several nutrients measured in S. flindersi, including protein, ash, polyunsaturated fatty acids (PUFA) and the omega-3 PUFA-docosahexaenoic acid (DHA, 22:6(sic)3), were related to one or more environmental factors (sea bottom temperature, depth and chlorophyll). We also detected seasonal variability in DHA and ash composition throughout the species’ commercially harvested distribution. Historical and future spatial modelling predicted a decrease in DHA of up to 6% with increasing ocean temperature under future Representative Concentration Pathway (RCP) 4.5 and 8.5 emission scenarios. Overall, our results identified S. flindersi as a rich source of protein and essential PUFAs for human consumers and supported emerging evidence that reductions in seafood-derived essential nutrients may occur under future ocean warming, specifically reductions in omega-3 fatty acids. The development of nutritional quality forecasting tools for seafood holds the potential to inform fishers and managers of locations and times of the year to target species with optimal nutritional quality.
A case-crossover study among 511,767 cardiovascular disease (CVD) deaths in Jiangsu province, China, during 2015-2021 was conducted to assess the association of exposure to ambient ozone (O(3)) and heat wave with CVD mortality and explore their possible interactions. Heat wave was defined as extreme high temperature for at least two consecutive days. Grid-level heat waves were defined by multiple combinations of apparent temperature thresholds and durations. Residential O(3) and heat wave exposures were assessed using grid data sets (spatial resolution: 1 km × 1 km for O(3); 0.0625° × 0.0625° for heat wave). Conditional logistic regression models were applied for exposure-response analyses and evaluation of additive interactions. Under different heat wave definitions, the odds ratios (ORs) of CVD mortality associated with medium-level and high-level O(3) exposures ranged from 1.029 to 1.107 compared with low-level O(3), while the ORs for heat wave exposure ranged from 1.14 to 1.65. Significant synergistic effects on CVD mortality were observed for the O(3) and heat wave exposures, which were generally greater with higher levels of the O(3) exposure, higher temperature thresholds, and longer durations of heat wave exposure. Up to 5.8% of the CVD deaths were attributable to O(3) and heat wave. Women and older adults were more vulnerable to the exposure to O(3) and heat wave exposure. Exposure to both O(3) and heat wave was significantly associated with an increased odds of CVD mortality, and O(3) and heat wave can interact synergistically to trigger CVD deaths.
In the modern world, climate change and global warming are serious problems. The thermal management of the human body under these conditions, especially during physical activity and work, is crucial. Hot weather conditions with intense metabolic activity lead to a critical health and safety situation. Reducing heat stress in workers who work outdoors or in hot environments has always been a challenge for occupational health and safety experts. The pivotal solution is to use personal cooling garments (PCGs) to build confidence in the safety and health of workers. This review study summarizes the mechanisms of 12 types of PCGs and discusses PCM garments as the most widely used PCGs. The importance of enhancing the effectiveness of PCMs with nanoparticles and biomass-derived porous carbon materials has been noticed. Furthermore, performance indicators and equations, the methods of evaluating the performance of cooling garments and the advantages or disadvantages of using these methods, factors affecting the cooling efficiency of PCM garments, and the application of PCM in textiles have been discussed. Afterward, the challenges and future trends in the design of PCM garments are introduced. The result of this review research can be helpful in the thermal management of the human body, especially for workers, by designing cooling garments with better efficiency and ultimately reducing energy consumption to cool the entire work environment.
Older adults are at greater risk of heat-related morbidity and mortality during heat waves, which is commonly linked to impaired thermoregulation. However, little is known about the influence of increasing age on the relation between thermal strain and perceptual responses during daylong heat exposure. We evaluated thermal and perceptual responses in 20 young (19-31 yr) and 39 older adults (20 with hypertension and/or type 2 diabetes; 61-78 yr) resting in the heat for 9 h (heat index: 37°C). Body core and mean skin temperature areas under the curve (AUC, hours 0-9) were assessed as indicators of cumulative thermal strain. Self-reported symptoms (68-item environmental symptoms questionnaire) and mood disturbance (40-item profile of mood states questionnaire) were assessed at end-heating (adjusted for prescores). Body core temperature AUC was 2.4°C·h [1.0, 3.7] higher in older relative to young adults (P < 0.001), whereas mean skin temperature AUC was not different (-0.5°C·h [-4.1, 3.2] P = 0.799). At end-heating, self-reported symptoms were not different between age groups (0.99-fold [0.80, 1.23], P = 0.923), with or without adjustment for body core or mean skin temperature AUC (both P ≥ 0.824). Mood disturbance was 0.93-fold [0.88, 0.99] lower in older, relative to young adults (P = 0.031). Older adults with and without chronic health conditions experienced similar thermal strain, yet those with these conditions reported lower symptom scores and mood disturbance compared with young adults and their age-matched counterparts (all P ≤ 0.026). Although older adults experienced heightened thermal strain during the 9-h heat exposure, they did not experience greater self-reported symptoms or mood disturbance relative to young adults.NEW & NOTEWORTHY Despite experiencing greater cumulative thermal strain during 9 h of passive heat exposure, older adults reported similar heat-related symptoms and lower mood disturbance than young adults. Furthermore, self-reported symptoms and mood disturbance were lower in older adults with common age-associated health conditions than young adults and healthy age-matched counterparts. Perceptual responses to heat in older adults can underestimate their level of thermal strain compared with young adults, which may contribute to their increased heat vulnerability.
Climate change is the greatest threat to human health, with one of its direct effects being global warming and its impact on health. Currently, the world is experiencing an increase in the mean global temperature, but this increase affects different populations to different degrees. This is due to the fact that individual, demographic, geographical and social factors influence vulnerability and the capacity to adapt. Adaptation is the process of adjusting to the current or envisaged climate and its effects, with the aim of mitigating harm and taking advantage of the beneficial opportunities. There are different ways of measuring the effectiveness of adaptation, and the most representative indicator is via the time trend in the temperature-mortality relationship. Despite the rise in the number of studies that have examined the temperature-mortality relationship in recent years, there are very few that have analysed whether a particular population has or has not adapted to heat. We conducted a scoping review that met the following criteria, namely: including all persons; considering the heat adaptation concept; and covering the context of the impact of global warming on health and mortality. A total of 23 studies were selected. This review found very few studies targeting adaptation to heat in the human population and a limited number of countries carrying out research in this field, something that highlights the lack of research in this area. It is therefore crucial for political decision-makers to support studies that serve to enhance our comprehension of long-term adaptation to heat and its impact on the health of the human population.
Global warming caused by increased greenhouse gas (GHG) emissions has a direct impact on human health. Gastrointestinal (GI) endoscopy contributes significantly to GHG emissions due to energy consumption, reprocessing of endoscopes and accessories, production of equipment, safe disposal of biohazardous waste, and travel by patients. Moreover, GHGs are also generated in histopathology through tissue processing and the production of biopsy specimen bottles. The reduction in unnecessary surveillance endoscopies and biopsies is a practical approach to decrease GHG emissions without affecting disease outcomes. This narrative review explores the role of precision medicine in GI endoscopy, such as image-enhanced endoscopy and artificial intelligence, with a focus on decreasing unnecessary endoscopic procedures and biopsies in the surveillance and diagnosis of premalignant lesions in the esophagus, stomach, and colon. This review offers strategies to minimize unnecessary endoscopic procedures and biopsies, decrease GHG emissions, and maintain high-quality patient care, thereby contributing to sustainable healthcare practices.
OBJECTIVE: Extreme weather events are becoming more prevalent with the increasing pace of climate change. These events negatively impact human health and put considerable strain on health care resources, including emergency departments. Within otolaryngology, acute pharyngitis is a common reason for emergency room visits (ERV). Therefore, we aimed to investigate the impact of extreme meteorological conditions on ERV rates related to acute pharyngitis. STUDY DESIGN: Retrospective time-series study. SETTING: ERVs related to acute pharyngitis (n = 1511) were identified at a tertiary care hospital in Vienna, Austria, between 2015 and 2018. METHODS: The effects of single-day and prolonged (3-day) extreme weather events on ERVs were analyzed using a distributed lag nonlinear model. Relative risk (RR) and cumulative relative risk (cRR) were calculated over a lag period of 14 days. RR refers to the risk for pharyngitis-related ERV at extreme conditions (1st, 5th, 95th, or 99th percentile) compared to the risk at median conditions. RESULTS: Same-day RR (lag0) was elevated more than 3-fold after prolonged extremely low mean temperatures (P = .028). Furthermore, same-day RR after single-day and prolonged extremely high relative humidity was elevated by 51% (P = .024) and 46% (P = .036), respectively. Significant delayed effects on cRR were observed for extreme mean temperatures, relative humidity, and mean wind speeds within 8 days and for extreme atmospheric pressure within 14 days. CONCLUSION: Extreme weather events impact ERV rates for acute pharyngitis. Extremely low temperatures, high relative humidity, high atmospheric pressure, and low and high wind speeds were risk-promoting factors.
PURPOSE OF REVIEW: The upper and lower airways are inter-related despite serving different functions and can no longer be considered separately. Rhinologists are becoming increasingly aware of the role the lower airway plays in optimizing outcomes for their patients. This review highlights recent developments in pulmonology that impact rhinologic conditions. RECENT FINDINGS: The unified airway concept now supports the multidisciplinary management of respiratory and rhinologic pathologies. Biomarkers, biologics and the concept of treatable traits have permitted the development of personalized and precise treatment of the entire respiratory tract. The concept of corticosteroid stewardship, the introduction of steroid sparing agents for the treatment of respiratory diseases and the development of biomarkers, now forces us to be more considerate and precise with oral corticosteroid (OCS) prescribing and to consider reduction regimens. Finally, current research on climate change and vaping will allow us to better educate and prepare our patients to improve adherence and avoid exacerbations to maintain optimal global respiratory health. SUMMARY: The inter-relatedness of the upper and lower airway has encouraged a multidisciplinary focus in respiratory medicine. More research is required to improve the precision respiratory medicine model, particularly in the realm of biomarkers and endotyping. These developments must also consider the impact of climate change, pollution and toxins for us to provide optimum care for our patients.
Urban Heat Island (UHI) research has acquired popularity in recent decades because of increasing recognition of heat stress impacts on human health, environments, and urban resilience under the compounding pressures of urbanization and climate change. The development of remote sensing technology has dramatically facilitated UHI research to better understand its spatiotemporal characteristics. However, there remain many knowledge gaps, confusions, and issues in surface UHI (SUHI) studies, such as different definitions of urban and rural areas, methodologies dealing with cloud cover, and other common pitfalls that can increase uncertainties and confuse researchers and practitioners in choosing appropriate assessment methods. We showcase these issues along with future research directions to overcome them. This review also evaluates SUHI studies over the past decade and systematically highlights the control factors, quantitative proxies, impacts, and mitigation interventions. This review provides a valuable reference and opens up new avenues for future research to better understand the dynamics of local climate change under the complex interplay between urbanization and global climate change.
BACKGROUND: The impact of global warming on health due to climate change is increasingly studied, but the global burden of self-harm and interpersonal violence attributable to high temperature is still limited. This study aimed to systematically assess the burden of self-harm and interpersonal violence attributable to high temperature globally or by region and climate zone from 1990 to 2019. METHODS: We obtained the global, regional, and national deaths, disability-adjusted life years (DALYs), age-standardized mortality rates (ASMR), and age-standardized disability-adjusted life year rates (ASDR) of self-harm and interpersonal violence due to high temperature from 1990 to 2019 through the Global Burden of Disease Study (GBD) 2019. The burden of self-harm and interpersonal violence due to high temperature was estimated by age, sex, climate zone, the socio-demographic index (SDI), and the healthcare access and quality index (HAQ). Average annual percentage changes (AAPCs) in ASMR and ASDR were calculated for 1990-2019 using the Joinpoint model. RESULTS: From 1990 to 2019, the global deaths and DALYs related to self-harm and interpersonal violence due to high temperature increased from 20,002 (95% UI, 9243 to 41,928) and 1,107,216 (95% UI, 512,062 to 2,319,477) to 26,459 (95% UI, 13,574 to 47,265) and 1,382,487 (95% UI, 722,060 to 2,474,441), respectively. However, the ASMR and ASDR showed varying degrees of decreasing trends, with decreases of 13.36% and 12.66%, respectively. The ASMR was high and declining in low and low-middle SDI regions, particularly in tropical and subtropical regions. In addition, SDI and HAQ index were negatively correlated with ASMR in 204 countries and regions. CONCLUSIONS: The global burden of self-harm and interpersonal violence attributed to high temperature has decreased over the past 30 years, but the number of deaths and DALYs continues to rise. Climate change continues to make heat stress a significant risk factor for self-harm and interpersonal violence worldwide.
Heat stress issues in healthcare workers (HCWs) have been widely recognized but no published guidelines have clearly specified healthy shift work hours and the time to experience heatstroke while performing healthcare tasks in outdoor settings. Using a rational biophysical model and hourly meteorological data collected during sixty hot summer months (June-August 2002-2021) in 34 major Chinese cities, this study determined healthy shift work hours and heatstroke risks in HCWs with three levels of body mass index (BMI = 18.0, 23.0, and 27.0 kg/m(2)) while performing healthcare tasks. Our simulation results found that HCWs should switch shifts every 2 h. HCWs with a higher BMI could see their shifts extended by 10-28 min. HCWs with 18.0 kg/m(2) BMI should finish shifts 10-23 min earlier than their counterparts. Heatstroke can strike HCWs in 143 min. HCWs should not wear impermeable PPE suits outdoors for >2 h in cities other than Guiyang, Qingdao, Kunming, Xining, and Lhasa for safety reasons. To ensure 8 h of healthy labor, HCWs are advised to wear personal cooling systems with a cooling power of >= 194.8 W/m(2) or to work in testing booths, where HVAC setpoint temperature for PPE-clad HCWs is 25.0 degrees C, with RH = 50-65 % and a fanning speed of 2.5 m/s.
AIMS: Previous studies have related heat waves to morbidity and mortality of cardiovascular diseases; however, potential mechanisms remained limited. Our aims were to investigate the short-term effects of heat waves on a series of clinical/subclinical indicators associated with cardiovascular health. METHODS: Our study used 80,574 health examination records from the Health Management Center of Nanjing Zhongda Hospital during the warm seasons of 2019-2021, including 62,128 participants. A total of 11 recognized indicators of cardiovascular risk or injury were assessed. Air pollution and meteorological data were obtained from the Nanjing Ecological Environment Bureau and the China Meteorological Data Network, respectively. Heat waves were defined as a daily average temperature over the 95th percentile for three or more consecutive days from May to September. We used a combination of linear mixed effects models and distributed lag nonlinear models to assess the lagged effects of heat waves on clinical and subclinical cardiovascular indicators. Stratified analyses based on individuals’ characteristics, including gender, age, body mass index (BMI), diabetes, and hypertension, were also performed. RESULTS: Heat waves were related to significant changes in most indicators, with the magnitude of effects generally peaking at a lag of 0 to 3 days. Moreover, the cumulative percentage changes over lag 0-7 days were -0.82 % to -2.55 % in blood pressure, 1.32 % in heart rate, 0.20 % to 2.66 % in systemic inflammation markers, 0.36 % in a blood viscosity parameter, 9.36 % in homocysteine, and 1.35 % to 3.25 % in injuring myocardial enzymes. Interestingly, females and males showed distinct susceptibilities in different indicators. Stronger effects were also found in participants aged 50 years or over, individuals with abnormal BMI status, and patients with diabetes. CONCLUSION: Short-term exposure to heat waves could significantly alter clinical/subclinical cardiovascular indicator profiles, including blood pressure changes, increased heart rate, acute systemic inflammation, elevated blood viscosity, and myocardial injury.
Heat is identified as a key climate risk in Europe. Vulnerability to heat can be aggravated by enhanced exposure (e.g., urban heat island), individual susceptibility (e.g., age, income), and adaptive capacity (e.g., home ownership, presence of vegetation). We investigated the spatial and temporal patterns of the environmental and social drivers of vulnerability to heat in the Paris region, France, over the 2000-2020 period, and their association with mortality (restricted to 2000-2017). Daily temperatures were modeled for the 5265 IRIS of the Paris region for 2000-2020. Annual land use and socioeconomic data were collected for each IRIS. They were used to identify a priori five classes of heatvulnerable areas based on a cluster analysis. The temperature-mortality relationship was investigated using a time-series approach stratified by clusters of vulnerability. The Paris region exhibited a strong urban heat island effect, with a marked shift in temperature distributions after 2015. The clustering suggested that the most heat-vulnerable IRIS in the Paris region have a high or very high exposure to temperature in a highly urbanized environment with little vegetation, but are not systematically associated with social deprivation. A similar J-shape temperature-mortality relationship was observed in the five clusters. Between 2000 and 2017, around 8000 deaths were attributable to heat, 5600 of which were observed in the most vulnerable clusters. Vulnerability assessments based on geographical indicators are key tools for urban planners and decision -makers. They complement the knowledge about individual risk factors but should be further evaluated through interdisciplinary collaborations.
Climate change may affect the quality of the indoor environment through heat and mass transfer between indoors and outdoors: first by a direct response to global warming itself and related extreme weather phenomena and second by indirect actions taken to reduce greenhouse gas emissions that can lead to increased concentrations of indoor air contaminants. Therefore, both indoor and outdoor air pollution contribute to poor indoor air quality in this context. Exposures to high concentrations of these pollutants contribute to inflammatory respiratory diseases. Climate change adaptation and mitigation measures could minimize these risks and bring associated health benefits.
Heat exposure presents a significant weather-related health risk in England and Wales, and is associated with acute impacts on mortality and adverse effects on a range of clinical conditions, as well as increased healthcare costs. Most heat-related health outcomes are preventable with health protection measures such as behavioural changes, individual cooling actions, and strategies implemented at the landscape level or related to improved urban infrastructure. We review current limitations in reporting systems and propose ten indicators to monitor changes in heat exposures, vulnerabilities, heat-health outcomes, and progress on adaptation actions. These indicators can primarily inform local area decision-making in managing risks across multiple sectors such as public health, adult and social care, housing, urban planning, and education. The indicators can be used alongside information on other vulnerabilities relevant for heat and health such as underlying morbidity or housing characteristics, to prioritise the most effective adaptation actions for those who need it the most.
As reported by World Bank figures, in 2020, there were about 476 million indigenous people living in more than 90 countries around the world. They represented more than 6 % of the world’s population. Approximately 15 % of these indigenous people lived in conditions of extreme poverty, facing economic disparity and chronic vulnerability [36]. This review analyzes the risks faced by indigenous communities due to climate change and their perception of risk. Hazards are identified in different regions, considering direct and indirect impacts on territories, resources and ways of life.
PURPOSE OF REVIEW: Geographically localized areas with a high prevalence of kidney disease exist currently in several regions of the world. Although the exact cause is unclear, environmental exposures accelerated by climate change, particularly heat exposure and ground water contamination, are hypothesized as putative risk factors. Aiming to inform investigations of water-related exposures as risk factors for kidney disease, we excavate the history of major water sources in three regions that are described as hotspots of kidney disease: the low-lying coastal regions in El Salvador and Nicaragua, the dry central region in Sri Lanka, and the Central Valley of California. RECENT FINDINGS: Historic data indicate that these regions have experienced water scarcity to which several human-engineered solutions were applied; these solutions could be hypothesized to increase residents’ exposure to putative kidney toxins including arsenic, fluoride, pesticides, and cyanobacteria. Combined with heat stress experienced in context of climate change, there is potential for multistressor effects on kidney function. Climate change will also amplify water scarcity, and even if regional water sources are not a direct risk factor for development of kidney disease, their scarcity will complicate the treatment of the relatively larger numbers of persons with kidney disease living in these hotspots. SUMMARY: Nephrologists and kidney disease researchers need to engage in systematic considerations of environmental exposures as potential risk factors for kidney disease, including water sources, their increasing scarcity, and threats to their quality due to changing climate.
Limiting the negative impact of climate change on nature and humans is one of the most pressing issues of the 21st century. Meanwhile, people in modern society spend most of the day indoors. It is therefore surprising that comparatively little attention has been paid to indoor human exposure in relation to climate change. Heat action plans have now been designed in many regions to protect people from thermal stress in their private homes and in public buildings. However, in order to be able to plan effectively for the future, reliable information is required about the long-term effects of climate change on indoor air quality and climate. The Indoor Air Quality Climate Change (IAQCC) model is an expediant tool for estimating the influence of climate change on indoor air quality. The model follows a holistic approach in which building physics, emissions, chemical reactions, mold growth and exposure are combined with the fundamental parameters of temperature and humidity. The features of the model have already been presented in an earlier publication, and it is now used for the expected climatic conditions in Central Europe, taking into account various shared socioeconomic pathway (SSP) scenarios up to the year 2100. For the test house examined in this study, the concentrations of pollutants in the indoor air will continue to rise. At the same time, the risk of mold growth also increases (the mold index rose from 0 to 4 in the worst case for very sensitive material). The biggest problem, however, is protection against heat and humidity. Massive structural improvements are needed here, including insulation, ventilation, and direct sun protection. Otherwise, the occupants will be exposed to increasing thermal discomfort, which can also lead to severe heat stress indoors.
This paper aims to provide a deeper understanding of the water-, sanitation- and hygiene (WASH)-related insecurities that people experiencing homelessness in urban areas of high-income countries (HIC) are facing, and how these insecurities are further complicated during extreme weather events. While limited recent research has looked into WASH among people experiencing homelessness in HICs, and while some work has considering the implications of climate change on WASH and health, the nexus of WASH, extreme weather events and homelessness in HICs have not been studied thus far. We conducted the first systematic scoping review of peer-reviewed literature on this nexus, which is understudied and marked by complexity, involving a range of systems and forms of impact. A total of 50 publications were included in our analysis. We found that public facilities like drinking water fountains, toilets, handwashing facilities, and showers are scarce, frequently unavailable, often pose safety and cleanliness issues, and access to non-public facilities may be cost-prohibitive for homeless populations. Consequently, people experiencing homelessness, including those sleeping rough, in encampments, or shelters, are often forced to limit drinking water consumption, forego healthy hygiene behaviours, and resort to open urination and defecation, all of which carry health risks. Extreme weather events, like heatwaves, extreme cold, heavy rain and flooding exacerbate challenges for people experiencing homelessness, further complicating their access to WASH, and reducing the ability of service providers to deliver extra relief, creating a dual WASH and health burden. Our review highlights that the Human Right to Water and Sanitation is not met for people experiencing homelessness in urban areas of high-income countries, with women emerging as one of the most vulnerable subgroups. It reveals that the impact of certain WASH issues (e.g. drinking water) on homeless populations are better understood than others (e.g. waste), and, similarly, the effects of certain extreme weather events (e.g. heatwaves) on the health and WASH conditions of people experiencing homelessness are better understood than others (e.g. flooding). Data gaps and the lack of information on limited WASH access and health circumstances of people experiencing homelessness, further minimize their representation and consequently impose obstacles to improve their situation. Based on our analysis, we established a framework which operationalizes the nexus of WASH, extreme weather events and homelessness. This framework improves our understanding of the underlying complexities at the intersection of these three issues and provides a foundation for enhanced preparedness and health-oriented planning.
Across countries, extreme heat events are projected to increase in frequency and intensity because of climate change. Exposure to extreme heat events can have a substantial negative impact on human health, and extant research suggests that individuals with mental illness are particularly vulnerable. To date, there has been no review of evidence regarding this vulnerability to inform response strategies and future research. A systematic review was undertaken to investigate mental illness as an effect modifier of the relationship between heat exposure and morbidity or mortality. Six databases (Medline, Embase, Global Health, PsychInfo, CINAHL and Scopus) were searched for studies published between the years 2000 to 2022. Twenty-two observational studies that met the inclusion criteria were investigated through narrative synthesis. The RoBANS tool, ROBIS and GRADE were used to assess the certainty of evidence including the risk of bias. Individuals with mental illness experience worse morbidity and mortality outcomes compared to their counterparts without mental illness in all studies investigating high temperature over a single day. This did not hold for studies examining heatwaves, which reported mixed findings. People with diagnosed mental illness should be targeted for policy and service attention during high temperature days. Further research should investigate specific mental illness and adjust for a wider range of confounding factors.
Climate change is increasingly affecting human well-being and will inevitably impact on occupational sectors in terms of costs, productivity, workers’ health and injuries. Among the cooling garment developed to reduce heat strain, the ventilation jacket could be considered for possible use in workplaces, as it is wearable without limiting the user’s mobility and autonomy. In this study, simulations with a sweating manikin are carried out to investigate the effects of a short-sleeved ventilation jacket on human thermophysiological responses in a warm-dry scenario. Simulations were performed in a climatic chamber (air temperature = 30.1 °C; air velocity = 0.29 m/s; relative humidity = 30.0 %), considering two constant levels of metabolic rate M (M(1) = 2.4 MET; M(2) = 3.2 MET), a sequence of these two (Work), and three levels of fan velocities (l(f) = 0; l(f)=2; l(f)=4). The results revealed a more evident impact on the mean skin temperature (T(sk)) compared to the rectal temperature (T(re)), with significant decreases (compared to fan-off) at all M levels, for T(sk) from the beginning and for T(re) from the 61(st) minute. Skin temperatures of the torso zones decreased significantly (compared to fan-off) at all M levels, and a greater drop was registered for the Back. The fans at the highest level (l(f)=4) were significantly effective in improving whole-body and local thermal sensations when compared to fan-off, at all M levels. At the intermediate level (l(f)=2), the statistical significance varied with thermal zone, M and time interval considered. The results of the simulations also showed that the Lower Torso needs to be monitored at M(2) level, as the drop in skin temperature could lead to local overcooling and thermal discomfort. Simulations showed the potential effectiveness of the ventilation jacket, but human trials are needed to verify its cooling power in real working conditions.
For many children, public playgrounds represent environments that are playful and important in developing good health. Without efforts to facilitate climate change adaptation of outdoor playgrounds there may be a negative impact on children’s health and well-being. AIM: With a special focus on play value, to explore the reasoning and described strategies among professionals responsible for development, planning and solutions concerning outdoor playgrounds in the context of climate change. Eight semi-structured interviews were held with purposefully selected interviewees. Analysis was conducted with manifest content analysis. Four themes with supporting categories; 1: a new design paradigm for outdoor play environments, 2: a need for updated regulation- and security guidelines for outdoor play environments, 3: nature-based play environments are more climate change resilient, and 4: maintenance and construction of nature-based outdoor play environments. The findings showed an overall awareness and a will to use innovative and nature-based strategies and planning to deal with climate change implications for outdoor play environments. The findings suggest that the strategies employed lean towards implementation of increased ecosystem services and natural elements. Ensuring strengthened resilience against hazardous climate change effects may positively facilitate diverse play activities with high play value.
The frequency, intensity, and geographical reach of natural disasters, fueled in part by factors such as climate change, population growth, and urbanization, have undeniably been escalating concerns around the world. This is a retrospective analysis of natural disasters recorded in the Emergency Events Database from 1995 to 2022. Between 1995 and 2022, 11,360 natural disasters occurred, with a mean of 398 per year. Asia experienced the most disasters (4390) and the highest number of casualties (918,198). Hydrological disasters were the most common subgroup (4969), while geophysical disasters led in terms of deaths (770,644). Biological disasters caused the most injuries (2544), particularly in Africa. Recognizing the historical impacts of the various subtypes of natural disasters may help different regions better risk analyze and mitigate the unique risks associated with such events.
There is mounting evidence that climate change is having a significant influence on exacerbations of airway disease. We herein explore the physical factors of carbon dioxide, temperature increases, and humidity on intensifying allergen and fungal growth, and worsening air quality. The direct influence of these factors on promoting allergic rhinitis, chronic rhinosinusitis, and allergic fungal rhinosinusitis is reviewed.
Schistosomiasis, a neglected tropical disease caused by parasitic worms, poses a major public health challenge in economically disadvantaged regions, especially in Sub-Saharan Africa. Climate factors, such as temperature and rainfall patterns, play a crucial role in the transmission dynamics of the disease. This study presents a deterministic model that aims to evaluate the temporal and seasonal transmission dynamics of schistosomiasis by examining the influence of temperature and rainfall over time. Equilibrium states are examined to ascertain their existence and stability employing the center manifold theory, while the basic reproduction number is calculated using the next-generation technique. To validate the model’s applicability, demographic and climatological data from Uganda, Kenya, and Tanzania, which are endemic East African countries situated in the tropical region, are utilized as a case study region. The findings of this study provide evidence that the transmission of schistosomiasis in human populations is significantly influenced by seasonal and monthly variations, with incidence rates varying across countries depending on the frequency of temperature and rainfall. Consequently, the region is marked by both schistosomiasis emergencies and re-emergences. Specifically, it is observed that monthly mean temperatures within the range of 22-27 °C create favorable conditions for the development of schistosomiasis and have a positive impact on the reproduction numbers. On the other hand, monthly maximum temperatures ranging from 27 to 33 °C have an adverse effect on transmission. Furthermore, through sensitivity analysis, it is projected that by the year 2050, factors such as the recruitment rate of snails, the presence of parasite egg-containing stools, and the rate of miracidia shedding per parasite egg will contribute significantly to the occurrence and control of schistosomiasis infections. This study highlights the significant influence of seasonal and monthly variations, driven by temperature and rainfall patterns, on the transmission dynamics of schistosomiasis. These findings underscore the importance of considering climate factors in the control and prevention strategies of schistosomiasis. Additionally, the projected impact of various factors on schistosomiasis infections by 2050 emphasizes the need for proactive measures to mitigate the disease’s impact on vulnerable populations. Overall, this research provides valuable insights to anticipate future challenges and devise adaptive measures to address schistosomiasis transmission patterns.
Since the 20th century, the world has undergone climate change, population growth and population aging, which may result in alterations in the epidemiology of non-optimal temperature-associated strokes. We employed multiple methodologies and data from the global burden of disease 2019 to unveil the long-term curvilinear trends in strokes attributed to non-optimal temperature and the impact of aging and population growth on its changing epidemiology. From 1990 to 2019, the age-standardized DALYs rate (ASDR) of strokes attributable to low temperature had been decreasing, but from 2016, the continued downward trend in ASDR disappeared and began to remain stable. On the contrary, the ASDR of strokes attributable to high temperature continued to increase. The high socio-demographic index (SDI) region experienced the fastest decreased trend. The disease burden of stroke attributable to low temperature is increased by aging in 178 countries (87.25%), compared with 130 (63.73%) for high temperature. After excluding aging and population growth, the DALY rate for strokes attributed to high temperature was increasing in 87 countries and territories (42.64%). The disease burden of strokes attributed to low temperature is far greater than that of high temperature in absolute figures. However, globally, there is a significant trend toward an increase in strokes attributed to high temperature. Social development has largely offset the burden of strokes attributed to low temperature, but most regions of the world are equally affected by strokes attributed to high temperature. Simultaneously, in the framework of climate change, aging is also largely hindering stroke prevention efforts.
Tropical cyclones have far-reaching impacts on livelihoods and population health that often persist years after the event(1-4). Characterizing the demographic and socioeconomic profile and the vulnerabilities of exposed populations is essential to assess health and other risks associated with future tropical cyclone events(5). Estimates of exposure to tropical cyclones are often regional rather than global(6) and do not consider population vulnerabilities(7). Here we combine spatially resolved annual demographic estimates with tropical cyclone wind fields estimates to construct a global profile of the populations exposed to tropical cyclones between 2002 and 2019. We find that approximately 560 million people are exposed yearly and that the number of people exposed has increased across all cyclone intensities over the study period. The age distribution of those exposed has shifted away from children (less than 5 years old) and towards older people (more than 60 years old) in recent years compared with the early 2000s. Populations exposed to tropical cyclones are more socioeconomically deprived than those unexposed within the same country, and this relationship is more pronounced for people exposed to higher-intensity storms. By characterizing the patterns and vulnerabilities of exposed populations, our results can help identify mitigation strategies and assess the global burden and future risks of tropical cyclones.
We review current knowledge on the trends and drivers of global wildfire activity, advances in the measurement of wildfire smoke exposure, and evidence on the health effects of this exposure. We describe methodological issues in estimating the causal effects of wildfire smoke exposures on health and quantify their importance, emphasizing the role of nonlinear and lagged effects. We conduct a systematic review and meta-analysis of the health effects of wildfire smoke exposure, finding positive impacts on all-cause mortality and respiratory hospitalizations but less consistent evidence on cardiovascular morbidity. We conclude by highlighting priority areas for future research, including leveraging recently developed spatially and temporally resolved wildfire-specific ambient air pollution data to improve estimates of the health effects of wildfire smoke exposure.
Urban heat waves pose a significant risk to the health and safety of city dwellers, with urbanization potentially amplifying the health impact of extreme heat. Accurate assessments of population heat exposure hinge on the interplay between temperature, population spatial dynamics, and the epidemiological effects of temperature on health. Yet, many past studies have over-simplified the matter by assuming static populations, leading to substantial inaccuracies in heat exposure assessments. To address these issues, this study integrates dynamic population data, fluctuating temperature, and the exposure-response relationship between temperature and health to construct an advanced heat exposure assessment framework predicated on a population dynamic model. We analyzed urban heat island characteristics, population dynamics, and heat exposure during heat wave conditions in Beijing, a major city in China. Our findings highlight significant intra-day population movement between urban and suburban areas during heat wave conditions, with spatial population flow patterns showing clear scale-dependent characteristics. These population flow dynamics intensify heat exposure levels, and the disparity between dynamic population-weighted temperature and average temperature is most pronounced at night. Our research provides a more comprehensive understanding of real urban population heat exposure levels and can furnish city administrators with more scientifically rigorous evidence.
BACKGROUND: High temperatures and heatwaves are occurring more frequently and lasting longer because of climate change. A synthesis of existing evidence of heat-related health impacts in the Western Pacific Region (WPR) is lacking. This review addresses this gap. METHODS: The Scopus and PubMed databases were searched for reviews about heat impacts on mortality, cardiovascular morbidity, respiratory morbidity, dehydration and heat stroke, adverse birth outcomes, and sleep disturbance. The last search was conducted in February 2023 and only publications written in English were included. Primary studies and reviews that did not include specific WPR data were excluded. Data were extracted from 29 reviews. FINDINGS: There is strong evidence of heat-related mortality in the WPR, with the evidence concentrating on high-income countries and China. Associations between heat and cardiovascular or respiratory morbidity are not robust. There is evidence of heat-related dehydration and stroke, and preterm and still births in high-income countries in the WPR. Some evidence of sleep disturbance from heat is found for Australia, Japan and China. INTERPRETATION: Mortality is by far the most studied and robust health outcome of heat. Future research should focus on morbidity, and lower income countries in continental Asia and Pacific Island States, where there is little review-level evidence. FUNDING: Funded by the World Health Organization WPR Office.
BACKGROUND: Numerous studies have investigated the association between heat wave exposure increased heat-related hospitalizations in the general population. However, little is known about heat-related morbidity in young children who are more vulnerable than the general population. Therefore, we aimed to evaluate the association between hospitalization for heat-related illness in children and heat wave exposure in South Korea. METHODS: We used the National Health Insurance Service (NHIS) database, which provides medical records from 2015 to 2019 in South Korea. We defined daily hospitalizations for heat-related illness of children younger than five years during the summer period (June to August). We considered the definition of heat waves considering the absolute temperature and percentile. A total of 12 different heat waves were used. A time-series analysis was used to investigate the association between heat wave exposure and heat-related hospitalization among children younger than five years. We used a two-stage design involving a meta-analysis after modeling by each region. RESULTS: We included 16,879 daily heat-related hospitalizations among children younger than five years. Overall, heat wave exposure within two days was most related for heat-related hospitalizations in young children. The relative risk (RR) due to heat wave exposure within two days (lag2) (12 definitions: 70th to 90th percentile of maximum temperature) ranged from 1.038 (95% confidence interval (CI): 0.971, 1.110) to 1.083 (95% CI: 1.036, 1.133). We found that boys were more vulnerable to heat exposure than girls. In addition, we found that urban areas were more vulnerable to heat exposure than rural areas. CONCLUSIONS: In our study, heat wave exposure during summer was found to be associated with an increased risk of hospitalization for heat-related illness among children younger than five years. Our findings suggest the need for summer heat wave management and prevention for children.
PURPOSE OF REVIEW: This review discusses the urgency of addressing human-caused climate change and its impacts on health and the environment. RECENT FINDINGS: The latest evidence shows that current climate changes are primarily attributable to greenhouse gas emissions from human industrial activity. Exceeding 1.5°C of warming above preindustrial levels is projected to increase extreme weather events, increase rates of heat-related morbidity and mortality and vector-borne disease, exacerbate food and water insecurity, harm biodiversity and agriculture, displace communities, and disproportionately impact disadvantaged groups. SUMMARY: Urgent action is required to curb emissions, enact adaptation strategies, and promote climate justice. The healthcare sector must reduce its ecological footprint and prepare systems and workers to address climate change’s health effects. Further research should support climate solutions while promoting health equity and environmental justice.
BACKGROUND: Climate change is leading to more extreme heat events in temperate climates that typically have low levels of preparedness. Our objective was to describe the characteristics, treatments, and outcomes of adults presenting to hospitals with heatstroke during BC’s 2021 heat dome. METHODS: We conducted a review of consecutive adults presenting to 7 hospitals in BC’s Lower Mainland. We screened the triage records of all patients presenting between June 25th and 30th, 2021 for complaints related to heat, and reviewed the full records of those who met heatstroke criteria. Our primary outcome was in-hospital mortality. We used Mann-Whitney U tests and logistic regression to investigate associations between patient and treatment factors and mortality. RESULTS: Among 10,247 consecutive presentations to urban hospitals during the extreme heat event, 1.3% (139; 95% confidence intervals [CI] 1.1-1.6%) met criteria for heatstroke. Of heatstroke patients, 129 (90.6%) were triaged into the two highest acuity levels. Patients with heatstroke had a median age of 84.4 years, with 122 (87.8%) living alone, and 101 (84.2%) unable to activate 911 themselves. A minority (< 5, < 3.6%) of patients presented within 48 h of the onset of extreme heat. Most patients (107, 77.0%) required admission, and 11.5% (16) died in hospital. Hypotension on presentation was associated with mortality (odds ratio [OR] 5.3). INTERPRETATION: Heatstroke patients were unable to activate 911 themselves, and most presented with a 48-h delay. This delay may represent a critical window of opportunity for pre-hospital and hospital systems to prepare for the influx of high-acuity resource-intensive patients.
Few studies have delved into the effects of heatwaves on sleep duration loss among older adults. Our study examined correlations between heatwave exposure and sleep duration reductions in this demographic. Utilizing data of 7,240 older adults drawn from the China Health and Retirement Longitudinal Study (CHARLS) from 2015 to 2018, we assessed sleep duration differences between the baseline year (2015) and follow-up year (2018). Absolute reductions in sleep duration were defined as differences of ≥ 1, 1.5, or 2 h. Changes in sleep duration were categorized based on cut-offs of 5 and 8 h, including excessive decrease, moderate to short and persistent short sleep duration types. 12 heatwave definitions combining four thresholds (90th, 92.5th, 95th, and 97.5th percentiles of daily minimum temperature) and three durations (≥2, ≥3 and ≥ 4 days) were used. Heatwave exposure was determined by the difference in the number of 12 preceding months’ heatwave days or events in 2015 and the number of 12 preceding months’ heatwave days or events in 2018. The results showed that increased heatwave events (defined as ≥ P90th percentile & lasting three days) were associated with a higher likelihood of ≥ 1-hour sleep reduction and persistent short sleep duration. An increase in heatwave event (defined as ≥ P95th percentile & lasting three days) was linked to shifts from moderate to short sleep duration. For the association between an absolute reduction in sleep duration and heatwave exposure, while higher thresholds signified greater sleep reduction risks, the effect estimates of longer durations were not uniformly consistent. We observed that air pollution and green space modified the relationship between heatwaves and sleep duration. Females, urban residents, and individuals with chronic diseases were identified as vulnerable populations. This study found that increased heatwave exposure was associated with a higher risk of sleep duration loss in older adults.
OBJECTIVES: To systematically develop an adaptation model to reduce climate change-related health risks for outdoor athletes. DESIGN: Delphi Method study. METHODS: A classic asynchronous Delphi study was conducted with a total of three survey rounds. 24 experts from the eight largest outdoor sport associations by membership in the German Olympic Sports Confederation were included as well as 24 medical experts with expertise in sport medicine, internal medicine, allergology, dermatology, infectiology, or toxicology. Based on open-ended questions, panelists were asked to consider prevention measures for sport organizations and clubs. Free text responses were analyzed by qualitative content analysis according to Mayring. RESULTS: Experts recommended establishing the following eight fields of prevention measures: technical and structural measures; organizational measures; personalized measures; basic, advanced, and continuing education; concepts of action, warning concepts, and financial concepts; cooperation and coordination; campaigns; and evaluation measures. CONCLUSIONS: The pyramid model presented in this study systematizes possible sport-specific adaptation measures on climate change by empirical aggregation of knowledge from scientists, sport organizations, clubs, trainers, and professional athletes. To assess the effectiveness of these prevention measures, sport organizations may incorporate them not only into broader operations but also everyday training routines.
In this research, we explore whether a dendrogeomorphological assessment of tree scarring can accurately summarize past ice-jam flooding events occurring at a given reach of a river. A sample site was chosen with a history of ice-jam flooding located in close proximity to a river gauge station. Samples were collected along a 200-m stretch of riverbank to capture the variation in elevations and possible different ice-jam flooding events. Disk samples were collected from trees with visual scarring evidence that indicated they had endured a past ice-jam event. Tree cores from an adjacent stand were collected to create a master chronology for each of the sampled species. Tree disks and cores were analyzed under a microscope using a Velmex stage system, then visually and statistically crossdated using the program COFECHA. Based on the last year of tree growth, years of individual injury events were established. The years of injury event dates were compared against the years of highest instantaneous maximum water elevations from gauged river data. The two data sets correlated, as the years with the highest recorded injury event dates were also the years of highest instantaneous water level elevations. The most common years of injury event dates were directly reflected in the top 5 years of the highest river instantaneous water level elevations. In addition, the year of 2020 had the highest water elevations in the past 27 years, which was again reflected in the dendrogeomorphological data as the injury event year of 2020 was recorded on over 90% of the sampled tree disks. The correlation found between the gauged river data and the dendrogeomorphological data strongly suggests that past ice-jam flooding event dates can accurately be determined through the analysis of trees in riverbank stretches that have been impacted by ice jams. The relationship of the gauged river data to the dendrogeomorphological data will therefore allow researchers to determine ice-jam site histories in remote areas where no gauged data exist. The site histories can provide information such as the years or heights that past ice-jam flooding occurred, which could then be used in ice-jam flooding hazard assessments.
Climate change is a major threat to human respiratory health and associated allergic disorders given its broad impact on the exposome. Climate change can affect exposure to allergens, such as pollen, dust mites, molds, as well as other factors such as temperature, air pollution, and nutritional factors, which synergistically impact the immune response to these allergens. Exposome change can differentially exacerbate allergic reactions across subgroups of populations, especially those who are more vulnerable to environmental stressors. Understanding links between climate change and health impacts can help inform how to protect individuals and vulnerable populations from adverse health effects.
OBJECTIVE: Concern about climate change among the general public is acknowledged by surveys. The health care sector must play its part in reducing greenhouse gas emissions and adapting to a changing climate, which will require the support of its stakeholders including those with epilepsy, who may be especially vulnerable. It is important to understand this community’s attitudes and concerns about climate change and societal responses. METHODS: A survey was made available to more than 100 000 people among a section of the neurological community (patients, carers, and clinicians), focused on epilepsy. We applied quantitative analysis of Likert scale responses supported by qualitative analyses of free-text questions with crossover analyses to identify consonance and dissonance between the two approaches. RESULTS: A small proportion of potential respondents completed the survey; of 126 respondents, 52 had epilepsy and 56 explicitly declared no illness. The survey indicated concern about the impact of climate change on health within this neurological community focused on epilepsy. More than half of respondents considered climate change to have been bad for their health, rising to 68% in a subgroup with a neurological condition; over 80% expected climate change to harm their health in future. Most (>75%) believed that action to reduce greenhouse gas emissions will lead to improved health and well-being. The crossover analysis identified cost and accessibility as significant barriers. SIGNIFICANCE: The high level of concern about climate change impacts and positive attitudes toward policies to reduce greenhouse gas emissions provide support for climate action from the epilepsy community. However, if policies are implemented without considering the needs of patients, they risk being exclusionary, worsening inequalities, and further threatening neurological health and well-being.
Climate change is worsening with tangible effects on our healthcare system. This review aims to examine the repercussions of the climate change on nephrology and explore potential strategies to mitigate its impact. This review examines dialysis’s environmental impact, resource recycling methods, and plant-based diets for kidney health. Recent research highlights the advantages of plant-based diets in managing and preventing chronic kidney disease (CKD) and its complications. Integrating these practices can significantly lessen the environmental impact of nephrology. PURPOSE OF REVIEW: The aim of this study is to discuss the bidirectional relationship of climate change and kidney disease and the impact of nephrology on climate change and to discuss potential solutions. RECENT FINDINGS: Each dialysis session consumes significant amounts of resource; reusing them will aid the environment. Plant-based diets slow renal disease and have a lower carbon footprint, making them ecologically friendly. SUMMARY: Climate change is a growing threat to population health and healthcare. Rising temperatures raise the risk of kidney problems. Dialysis treatments also impact the environment through its high resource requirements while generating high volumes of waste and greenhouse gases. Opportunities exist to reduce the environmental impact of dialysis treatments. Plant-based diets serve to benefit both kidney disease and the environment.
Soybean oil is a major dietary source of the essential fatty acids linoleic acid (LA) and α-linolenic acid (ALA); however, high-daytime temperatures during seed development reduce desaturase activity in soybeans. The resultant reduction in LA and ALA levels is a phenomenon well-known to soybean breeders, although the impact of this interaction between plants and environment on human nutrition is poorly understood. Using data from the literature, we developed a model for soybean essential fatty acid composition. Combining this model with contemporary agricultural and meteorological data sets, we determined whether insufficiency of essential fatty acids could result from geographic, intrayear, or interyear variability. We modeled this change using 233 data points from 16 studies that provided fatty acid composition data from plants grown under daytime high temperatures ranging from 15°C to 40°C. RESULTS: As temperature increased, LA and ALA concentrations decreased from 55% to 30% and 13% to 3.5%, respectively. Application of the model to daytime high temperatures from 2 growth periods over 6 y showed significant regional, interyear, and intrayear variation in essential fatty acid content (P < 0.05). Using county yield data, we developed oil fatty acid models for the 3 top-producing regions of the United States. From this work, it was determined that soybean oil manufactured from soybeans in the southern United States may contain insufficient ALA to meet human nutritional needs because of high-daytime temperatures. This work suggests that climate-based variation may result in many human populations not achieving an adequate daily intake of ALA.
Extreme heatwaves in tropical cities represent a significant short-term weather challenge, directly impacting urban heat, exacerbating human discomfort, and increasing energy demands. To alleviate this, meteorological adjustments utilizing reflective roofing technologies, such as cool roofs, can effectively mitigate heatwaveinduced excess heat and enhance thermal comfort. This study assessed the effectiveness of cool roofs in cooling urban areas following heatwaves in Kolkata, India, using comprehensive city-scale simulations. The study presumed that the existing roofing materials, with a reflectivity of 0.15 and emissivity of 0.85, indicated the unmitigated condition. These materials were replaced with third-generation cool roof materials featuring a reflectivity of 0.80 and emissivity of 0.85, leading to a substantial improvement in urban meteorology and thermal comfort compared to the unmitigated state. Notably, during heatwave episodes, the most significant computed reductions in energy flux were 181.3 Wm-2, 16.6 Wm-2, 56.3 Wm-2, and 251.9 Wm-2 for sensible heat, latent heat, ground storage, and net inflow radiation, respectively. Consequently, this led to decreases of 2.3 degrees C, 6.1 degrees C, 21.8 degrees C, and 1.9 degrees C in urban thermal parameters during peak hours (14:00 LT) for ambient temperature, surface temperature, roof surface temperature, and urban canopy temperature, respectively. The maximum drops in the planetary boundary layer (PBL) were 130.6 m, 1978.5 m, and 1010.3 m for 6:00 LT, 14:00 LT, and 18:00 LT, with an average of 870.3 m. Cool roofs demonstrated their potential to minimize thermal stress during heatwave periods, showcasing a maximum drop in the heat stress index (HSI) of up to 1.5 degrees C in the morning. Furthermore, outdoor thermal comfort could be significantly enhanced by lowering the universal thermal comfort index (UTCI) at the near surface, resulting in reductions of up to 1.8 degrees C during peak hours. On average, there was a reduction in UTCI between day and night of approximately 1.2 degrees C and 0.7 degrees C in densely populated urban areas. Additionally, the study evaluated 32 case studies that focused on cool roof strategies, revealing remarkably consistent findings that suggest a plausible justification. These findings provide a valuable framework for urban planners and policymakers considering the integration of cool roofs-based heat reduction technology at the city scale.
BACKGROUND: Only little is known about trends in temperature-mortality associations among the most vulnerable subgroups, especially in the areas of central and eastern Europe, which are considered major climatic hotspots in terms of heatwave exposure. Thus, we aimed to assess trends in temperature-related mortality in the Czech Republic by sex, age and cause of death, and to quantify the temporal evolution of possible inequalities. METHODS: We collected daily time series of all-cause (1987-2019) and cause-specific (1994-2019) mortality by sex and age category, and population-weighted daily mean 2-metre temperatures for each region of the Czech Republic. We applied a quasi-Poisson regression model to estimate the trends in region-specific temperature-mortality associations, with distributed lag non-linear models and multivariate random-effects meta-analysis to derive average associations across the country. We then calculated mortality attributable to non-optimal temperatures and implemented the indicator of sex- and age-dependent inequalities. RESULTS: We observed a similar risk of mortality due to cold temperatures for men and women. Conversely, for warm temperatures, a higher risk was observed for women. Results by age showed a clear pattern of increasing risk due to non-optimum temperatures with increasing age category. The relative risk (RR) related to cold was considerably attenuated in most of the studied subgroups during the study period, whereas an increase in the RR associated with heat was seen in the overall population, in women, in the age category 90+ years and with respect to respiratory causes. Moreover, underlying sex- and age-dependent inequalities experienced substantial growth. CONCLUSIONS: Our findings suggest ongoing adaptation to cold temperatures. Mal/adaptation to hot temperatures occurred unequally among population subgroups and resulted in growing inequalities between the sexes and among age categories.
BACKGROUND: With climate change Northern areas of the globe are expected to have less daylight during winters due to less snow and more cloudiness. While wintertime has been linked to mental health problems, the role of wintertime daylight has been scarcely studied. We examined longitudinal associations for wintertime objective exposure to global radiation and self-reported daylight exposure with symptoms of depression and sleep problems. METHODS: Our analytical sample included 15,619 respondents from three Swedish Longitudinal Occupational Surveys of Health (2012, 2014 and 2016). Objective exposure was global radiation (MJ/m(2), November-January and November-February). Subjective exposure was based on self-reported time spent outdoors in daylight (<1 h vs. ≥ 1 h, November-January). Symptoms of depression were evaluated using a six-item subscale of the (Hopkins) Symptom Checklist. Fixed-effects method with conditional logistic regression controlled for time-invariant participant characteristics by design and time-varying covariates were added into models. RESULTS: One unit increase in the four-month averaged global radiation was associated with lower odds of depressive symptoms (OR 0.69, 95 % CI 0.52-0.91). These findings were confirmed using four-month cumulative exposure (OR 0.91, 95 % CI 0.85-0.98). Individuals reporting ≥ 1 h exposure to daylight during winter months were less likely to report depressive symptoms (OR 0.72, 95 % CI 0.60-0.82) compared to time when their exposure was < 1 h. Higher three-month exposure to global radiation suggested a protective association for sleep problems. CONCLUSION: These findings suggest that higher exposure to daylight during winters may contribute to lower likelihood of depression symptoms.
The current environmental crisis is mostly due to global warming. Promoting walking and cycling requires both the availability of green public areas (such as parks, green paths, and greenways) and a mentality that values such active modes of transportation. Significant health advantages from increased physical activity (PA) are associated with transportation options like walking and cycling (sometimes known as “active transportation,” AT): the health and environmental advantages of encouraging workers to use bicycles for transportation been widely acknowledged. The authors of this research set out to fill this information gap by investigating the theoretically theorized links between green public space awareness and attitudes toward active mobility, adapting to a changing environment, and improving one’s mental and physical health, with leisure and tourist activities serving as a moderator. The data was collected quantitatively using purposive sampling and then analyzed using PLS-SEM. We surveyed Korean walkers (n = 282) and bikers (n = 315) online between May 25 and June 17, 2021, and used a partial least squares structural equation modeling (PLS-SEM) analysis to test our hypothesis. As stated in the findings, being conscious of green public space when using active transportation significantly affects how clean the air feels. Active transportation was shown to have a significant effect on health, and climate change mitigation efforts were found to have a significant effect on health. Those who used active transportation for tourism had a stronger connection between green public space awareness and air quality, in addition to environmental sustainability and ethical conduct mitigation, than those who used active transport for recreation. Therefore, the model may aid in locating transport and health scenarios that benefit both sectors.
Climate change and the rapid loss of biodiversity pose threats to human survival and development. However, there remains a limited understanding of the relationship between biodiversity and human health, especially in the context of developing countries. This study pursues two objectives: (1) to explore the relationship between biodiversity and human health; and (2) to investigate how this relationship varies across different economic regions. Using a cross-sectional design, we analyzed data from 31 provinces, autonomous regions and municipalities across China. The dataset encompassed information on biodiversity (animals, plants, and fungi), subjective health, and mental health. We employed a two-stage least squares analysis, designating the proportion of part-time rangers and the completion of investments in wild fauna and flora per unit area as instrumental variables. Subsequently, we examined the moderating effect of the average Per Capita Disposable Income on the relationship between biodiversity and mental health. Additionally, we conducted grouped regression analyses for three regions with varying levels of economic development. The regression model incorporated macroecological, macroeconomic, and sociodemographic data as control variables. The results indicated a correlation between bird, plant species richness, biological richness (the total number of plants, animals, and fungi), and mental health. However, these biodiversity measures were significantly associated with poor subjective health. Additionally, the contribution of biological richness to mental health declines as the average Per Capita Disposable Income rises. The relationship between biodiversity and mental health was significantly negative in regions with low economic development, significantly positive in medium economic development regions, and not significant in high economic development regions. The analysis indicates that as the economy grows, there may exist a lower and upper threshold at which biodiversity exerts a positive impact on mental health. These thresholds merit further investigation. This observed gap might be attributed to the diminishing natural experiences in regions undergoing rapid economic development. The findings of this study offer insights that could guide policy decisions in developing countries, balancing biodiversity preservation, economic growth, and public health.
BACKGROUND: Climate change is a global environmental phenomenon that affects human health. It has a negative impact on the health and well-being of older adults. Therefore, educating older adults about coping with climate change and providing psychological interventions could promote successful aging. AIM: To determine the effectiveness of psycho-educational program on climate change distress and risk perception among older adults. METHODS: A quasi-experimental research design, “pre-test and post-test was followed. The study used the Climate Change Distress, the Impairment Scale, and the Risk Perception Scale. Data were collected from 80 older adults aged 60 years and above at three elderly clubs in Damanhour City, El-Behaira Governorate, Egypt. RESULTS: The difference in mean severity of climate change distress, impairment, and risk perception scores between the study and control groups after the psycho-educational program was statistically significant. CONCLUSION: Psycho-educational interventions can reduce climate change distress and impairment among older adults and increase their risk perception.
PURPOSE: As climate change accelerates, healthcare workers (HCW) are expected to be more frequently exposed to heat at work. Heat stress can be exacerbated by physical activity and unfavorable working requirements, such as wearing personal protective equipment (PPE). Thus, understanding its potential negative effects on HCW´s health and working performance is becoming crucial. Using wearable sensors, this study investigated the physiological effects of heat stress due to HCW-related activities. METHODS: Eighteen participants performed four experimental sessions in a controlled climatic environment following a standardized protocol. The conditions were (a) 22 °C, (b) 22 °C and PPE, (c) 27 °C and (d) 27 °C and PPE. An ear sensor (body temperature, heart rate) and a skin sensor (skin temperature) were used to record the participants´ physiological parameters. RESULTS: Heat and PPE had a significant effect on the measured physiological parameters. When wearing PPE, the median participants’ body temperature was 0.1 °C higher compared to not wearing PPE. At 27 °C, the median body temperature was 0.5 °C higher than at 22 °C. For median skin temperature, wearing PPE resulted in a 0.4 °C increase and higher temperatures in a 1.0 °C increase. An increase in median heart rate was also observed for PPE (+ 2/min) and heat (+ 3/min). CONCLUSION: Long-term health and productivity risks can be further aggravated by the predicted temperature rise due to climate change. Further physiological studies with a well-designed intervention are needed to strengthen the evidence for developing comprehensive policies to protect workers in the healthcare sector.
The twenty-first century has been marked by a surge in viral epidemics and pandemics, highlighting the global health challenge posed by emerging and re-emerging pediatric viral diseases. This review article explores the complex dynamics contributing to this challenge, including climate change, globalization, socio-economic interconnectedness, geopolitical tensions, vaccine hesitancy, misinformation, and disparities in access to healthcare resources. Understanding the interactions between the environment, socioeconomics, and health is crucial for effectively addressing current and future outbreaks. This scoping review focuses on emerging and re-emerging viral infectious diseases, with an emphasis on pediatric vulnerability. It highlights the urgent need for prevention, preparedness, and response efforts, particularly in resource-limited communities disproportionately affected by climate change and spillover events. Adopting a One Health/Planetary Health approach, which integrates human, animal, and ecosystem health, can enhance equity and resilience in global communities. IMPACT: We provide a scoping review of emerging and re-emerging viral threats to global pediatric populations This review provides an update on current pediatric viral threats in the context of the COVID-19 pandemic This review aims to sensitize clinicians, epidemiologists, public health practitioners, and policy stakeholders/decision-makers to the role these viral diseases have in persistent pediatric morbidity and mortality.
INTRODUCTION: Sustainable Development Goal 12.8 aims to capacitate people with relevant information and awareness for sustainable development and lifestyles in harmony with nature. This study documents unique opportunities and challenges associated with engaging school children in Sustainable lifestyle for health. OBJECTIVE: To identify opportunities and challenges in engaging school children in Sustainable Lifestyle. METHODS: Participatory action research was designed through “Sustainable lifestyle Campaign” for 134 students (11-14 years) of 8 schools in Kolar city, Karnataka, India. The project was divided into Induction, Interaction and Reinforcement phases. Induction phase included Inter-school competitions (on themes of climate change and health). In Interaction phase, participants individually named various impacts of climate change and the climate change risk they perceived. In groups of 6-8, they then Free Listed and Pile sorted Climate change actions. In Reinforcement phase, interactive games and symposium on Climate Change and Sustainable Lifestyle were organized for the participants. At the end of Reinforcement phase, participants repeated the free listing and pile sorting exercise. Free lists were analyzed for frequencies and Smith’s Salience Index, and the pile sorts using non-metric multi-dimensional scaling (non-metric MDS) using Anthropac ver 4.98. RESULTS: The participants named “Cancer” (65%) and “Asthma” (50%) as health impacts of climate change while other impacts were largely unknown. Major themes, such as “Perceived risk”, “Eagerness to engage in climate action”, “Incompleteness of information” and “Lack of autonomy” were identified. Reinforcement phase improved frequency and Smith’s salience (>0.8) of individual level climate change actions across groups. Non-metric MDS showed that rationale of pile sorting shifted from “Source-based” sorting to “Level of Action” based sorting after the Reinforcement. CONCLUSIONS: Existing knowledge of participants regarding sustainable lifestyle is theoretical with insufficient emphasis on health. Sustainable lifestyle awareness campaigns focusing children must have provisions for family and peer involvement to sustain the individual or family level actions.
In Summer 2023, the World Health Organisation (WHO) and the Food and Agriculture Organization of the United Nations (FAO)-United Nations Environment Programme (UNEP) WHO-World Organisation for Animal Health (OIE) Quadripartite published two separate research agendas on antimicrobial resistance (AMR). While the publication of these research agendas on AMR creates a significant opportunity to align research priorities internationally, we emphasize a number of limitations. Firstly, the production of two separate AMR research agendas, in human health and One Health, rather than one integrated research agenda, risks the continued deprioritization of the One Health agenda. Furthermore, neither research agenda addressed the need to study the relationship between climate change and AMR despite growing evidence to suggest this may be significant. Finally, there are also missed opportunities in directing the study of appropriate treatment regimens and in clarifying the overall most resource-efficient path to combatting AMR. Moving forward, the international research agenda for AMR needs to be continually redefined in an inclusive, transparent and independent manner. This could be the task of the proposed, but so far not realized, Independent Panel on Evidence for Action against AMR.
Understanding the spatiotemporal distribution and behavior of Polycyclic Aromatic Hydrocarbons (PAHs) in the context of climate change and human activities is essential for effective environmental management and public health protection. This study utilized an integrated simulation system that combines land-use, hydrological, and multimedia fugacity models to predict the concentrations, transportation, and degradation of 16 priority-controlled PAHs across six environmental compartments (air, water, soil, sediment, vegetation, and impermeable surfaces) within one of the world’s prominent urban agglomerations, the Yangtze River Delta Urban Agglomeration (YRDUA), under future Shared Socio-economic Pathways (SSP)-Representative Concentration Pathways (RCP) scenarios. Incremental lifetime carcinogenic risk for adults and children exposed to PAHs were also evaluated. The results show a declining trend in PAHs concentrations and associated health risks during the 21st century. Land use types, hydrological characteristics, population, and GDP, have significant correlations with the fate of PAHs. The primary removal for PAHs is determined to be driven by advection through air and water. PAHs covering on impermeable surfaces pose a relatively higher health risk compared to those in other environmental media. This study offers valuable insights into PAHs pollution in the YRDUA, aiming to ensure public health safety, with the potential for application in other urban areas.
Climate change refers to long-term alterations in climate patterns across various regions of the world. As per the data availability and explanations given by different researchers, human exercises, particularly the burning of coal, deforestation, and the use of oil have increased the temperature of the Earth by significantly improving the engagement of heat-absorbing gases in the environment. The above-stated ratio will increase proportionally in the future. Therefore, climate change is one of our biggest global challenges, and urgent action must be taken to reduce greenhouse gas emissions, and adapt to its effects, and ensure a long and healthy life for all. This paper examines the different aspects of the effects of climate change on different ecosystem elements, such as air, water, plants, animals, and human beings, with a notable focus on economic aspects. Finally, to better understand the situation, data in this report were collected from different media platforms, research mechanisms, guideline papers, newspapers, and other references. This review paper considers climate change mitigation and transformation hovers worldwide in different sectors like human health, crop productivity, and the related economic impact. The conclusions emphasize that government monitoring is essential for the country’s long-term growth through responsible resource management.
With global warming, the issue of urban surface overheating has emerged as one of the most urgent concerns for modern cities worldwide. However, the simulation of thermal comfort with high spatiotemporal resolution remains a challenge. In this study, an approach is presented to integrate several global meteorological raster data for the production of high spatial and temporal resolution thermal comfort raster datasets. Our approach produced a dataset in the GuangdongHong Kong-Macao Greater Bay Area (GBA) covering 98.30% of diurnal moments in 5 years, and the spatial coverage of the region exceeded 87%. The assessment results showed that from 2002 to 2020, mean universal thermal climate index (UTCI) slightly increases from 16.0 to 20.6 degrees C to 17.3-26.2 degrees C, dominated by no heat stress (9.0 degrees C-26.0 degrees C). The low-value center of UTCI locates in the north GBA, around Zhaoqing and northern Guangzhou, while the high-value center moved westward from Huizhou to Foshan, Dongguan, and the south of Guangzhou. Over the past 18 years, the heat stress has become larger in the spatial extent and more prolonged. The heat island effect has intensified over the past 18 years, resulting in a coexistence of the positive heat island intensity and the negative heat island intensity. The result investigates urban thermal comfort conditions for urban thermal environment management and provides a spatial reference for human-centered urban planning.
Airborne microorganisms and biological matter (bioaerosols) play a key role in global biogeochemical cycling, human and crop health trends, and climate patterns. Their presence in the atmosphere is controlled by three main stages: emission, transport, and deposition. Aerial survival rates of bioaerosols are increased through adaptations such as ultra-violet radiation and desiccation resistance or association with particulate matter. Current research into modern concerns such as climate change, global gene transfer, and pathogenicity often neglects to consider atmospheric involvement. This comprehensive review outlines the transpiring of bioaerosols across taxa in the atmosphere, with significant focus on their interactions with environmental elements including abiotic factors (e.g., atmospheric composition, water cycle, and pollution) and events (e.g., dust storms, hurricanes, and wildfires). The aim of this review is to increase understanding and shed light on needed research regarding the interplay between global atmospheric phenomena and the aeromicrobiome. The abundantly documented bacteria and fungi are discussed in context of their cycling and human health impacts. Gaps in knowledge regarding airborne viral community, the challenges and importance of studying their composition, concentrations and survival in the air are addressed, along with understudied plant pathogenic oomycetes, and archaea cycling. Key methodologies in sampling, collection, and processing are described to provide an up-to-date picture of ameliorations in the field. We propose optimization to microbiological methods, commonly used in soil and water analysis, that adjust them to the context of aerobiology, along with other directions towards novel and necessary advancements. This review offers new perspectives into aeromicrobiology and calls for advancements in global-scale bioremediation, insights into ecology, climate change impacts, and pathogenicity transmittance.
The availability and affordability of alcohol in smallholder communities have surged the misuse of alcohol. Misusing alcohol has dire health and nutrition consequences in smallholder communities. Alcohol misuse can divert household resources from essential household needs such as food and also hinder local food production. In the context of multiple stressors on smallholder farmers’ livelihoods, it is crucial to assess the relationship between alcohol consumption and smallholder farmers’ experience of hunger. Therefore, we used data from a cross-sectional survey involving 1100 smallholder farmers in the Upper West region of Ghana to examine the association between alcohol consumption and household food insecurity. Results showed that daily (OR = 3.81; p ≤ 0.001) and weekly/frequent (OR = 2.32; p ≤ 0.001) consumption of alcohol was significantly associated with higher odds of household food insecurity compared to no consumption. The relationship between alcohol and food insecurity was bidirectional. The experience of food insecurity was also significantly associated with higher odds of occasional or frequent alcohol consumption. While alcohol misuse can transition smallholder households into food insecurity, the household heads of food insecure households may resort to alcohol to cope with underlying stressors such as climate change and food insecurity. This calls for policy interventions to mitigate alcohol misuse through regulations, surveillance, economic disincentives and improving the social mechanisms of resilience to climate change and food insecurity in smallholder communities. However, policy approaches must be cautious not to disrupt the livelihoods of vulnerable smallholder farmers.
BACKGROUND AND AIM: Greenhouse gas emissions are the fundamental cause of global warming, with CO(2) being the most contributive. Carbon reduction has been widely advocated to mitigate the climate crisis. The endoscopy unit is the third highest waste-generating department in a hospital. The awareness and acceptance of the practice of green endoscopy among healthcare workers is unclear. METHOD: An online survey was conducted over a 5-week period from July to August 2023 in the Asia-Pacific region, which targeted endoscopists, nurses, and other healthcare professionals of the endoscopy unit. The primary outcome was the agreement to adopt green endoscopy. The secondary outcomes included views on sustainable practices, factors associated with increased acceptance of green endoscopy, the acceptance of different carbon reduction measures, and the perceived barriers to implementation. RESULTS: A total of 259 valid responses were received. Overall, 79.5% of participants agreed to incorporate green endoscopy into their practice. Nevertheless, existing green policies were only reported by 12.7% of respondents. The level of understanding of green endoscopy is the only significant factor associated with its acceptance (odds ratio 3.10, P < 0.007). Potential barriers to implementation include healthcare cost increment, infection risk, inadequate awareness, and lack of policy and industrial support. CONCLUSION: Green endoscopy is well accepted among healthcare workers but not widely implemented. The level of understanding is highly associated with its acceptance, highlighting the importance of education. A reliable assessment tool is needed to quantify the environmental impact of endoscopy. Further studies are needed to ascertain its benefit and cost effectiveness.
Exposure to pollen and fungal spores can trigger asthma/allergic symptoms and affect health. Rising temperatures from climate change have been associated with earlier seasons and increasing intensity for some pollen, with weaker evidence for fungal spores. It is unclear whether climate change has resulted in changes in the exposure-response function between temperature and pollen/fungal spore concentrations over time. This study examined associations between temperature and pollen/fungal spores in different time periods and assessed potential adaptation using the longest pollen/fungal spore dataset in existence (52 years). Daily concentrations of pollen (birch and grass) and fungal spores (Cladosporium, Alternaria, Sporobolomyces and Tilletiopsis) collected between April and October from Derby (1970-2005) and Leicester (2006-2021), UK, were analysed. Cumulative seasonal concentrations (seasonal integral) and start-of-season were calculated and linked to seasonal mean temperatures (Tmeans) using generalized additive models. Daily concentrations were evaluated against daily Tmean with distributed lagged nonlinear models. Models were adjusted for precipitation, relative humidity, long-term trend and location. Seasonal and daily analyses were respectively stratified into two periods (1970-1995, 1997-2021) and five decades. Warmer seasonal Tmeans were associated with higher seasonal integral for birch, Cladosporium and Alternaria, as well as earlier start-of-season for birch, grass and Cladosporium. There were indications of changing associations with temperature in the recent decades. A warmer January was associated with higher seasonal integral for grass in 1997-2021, but not in 1970-1995. In 2000-2021, daily concentrations of birch pollen tended to remain at higher levels, vs. decrease during 1990s, when Tmean was between 13 and 15 °C. Our study suggests higher temperatures experienced in recent decades are associated with higher overall abundance of some pollen/fungal spores, which may increase future disease burdens of allergies. The changing responses of some pollen to higher temperatures over time may indicate adaptation to increasing temperatures and should be considered in climate change mitigation and adaptation planning.
Climate change is leading to more frequent and intense natural disasters, with developing countries particularly at risk. However, most research concerning mental health and natural disasters is based in high-income country settings. It is critically important to provide a mental health response to such events, given the negative psychosocial impacts they elicit. The aim of this systematic review is to explore the barriers and facilitators to implementing mental health and psychosocial support (MHPSS) following natural disasters in developing countries. Eight databases were searched for relevant quantitative and qualitative studies from developing countries. Only studies reporting barriers and/or facilitators to delivering MHPSS in response to natural disasters in a low- or middle-income country were included and full texts were critically appraised using the McGill University Mixed Methods Appraisal Tool. Reported barriers and facilitators were extracted and analysed thematically. Thirty-seven studies were included in the review, reflecting a range of natural disaster settings and developing countries. Barriers to implementing MHPSS included cultural relevance, resources for mental health, accessibility, disaster specific factors and mental health stigma. Facilitators identified included social support, cultural relevance and task-sharing approaches. A number of practical approaches can be used to facilitate the implementation of MHPSS in developing country settings. However, more research is needed on MHPSS in the developing country natural disaster context, especially in Africa, and international policies and guidelines need to be re-evaluated using a decolonial lens.
With increasing urbanisation and climate change, more people will be exposed to extreme heat. While health impacts of heat are well known, far less is known about how heat and responses to heat affect daily life. Such information is needed if appropriate advice is to be provided on heat adaptation. This study describes heat-related symptoms that can impact wellbeing but do not necessarily require medical treatment, and how heat changes people’s behaviour, including their strategies for relieving heat and seeking heat health advice. Data were collected through an Australia-wide online survey with 1665 responses. We found that heat leads to maladaptive behaviours that could affect long-term health, such as reducing outside activities (67% of respondents) and increasing the consumption of soft drinks (27% of respondents) and alcohol (11% of respondents). Two-thirds of respondents used more air-conditioning to relieve heat stress and many reported poor sleep quality. Behaviour change was strongly correlated with respondents’ age, degree of physical activity and the extent to which people sought advice on heat and health (37% of respondents). The results can help identify individuals least likely to cope well with heat and who may benefit most from heat relief advice.
This study assessed the energy-saving and climate-adaptive potential of cool skin and ventilated cavity skin facade technologies in Seoul’s high-rise apartment buildings. We created weather scenarios for historical, midterm future, and long-term future conditions using Coordinated Regional Downscaling EXperiment (CORDEX) method. Building energy simulations were conducted on a South Korean high-rise apartment model to evaluate their performance under different weather conditions. The results indicate that cool skin and ventilated cavity skin technologies can save cooling energy during summers but lead to heating energy penalties in winters. Ventilated cavity skin outperforms cool skin, offering better cooling energy savings and reduced heating penalties. Combining both technologies yields the highest overall energy savings, with 7 %, 9 %, and 10 % cooling energy savings for cool skin, ventilated cavity skin, and the combined package, respectively. However, cool skin increases heating energy consumption by 5 %, while ventilated cavity skin has minimal impact on heating energy. These envelope technologies also reduce peak electricity demand by at least 5 %, 8 %, and 9 %, respectively. They contribute to heat stress reduction, enhance resilience, and decrease extreme heat risks for occupants during power outages by at least 18 % under various weather conditions. Considering the prevalence of aging high-rise apartments in South Korea, adopting these envelope renovation strategies can effectively reduce cooling loads, enhance thermal comfort, and boost resilience under future climates, while avoiding costly reconstruction.
Invasive hematophagous arthropods threaten planetary health by vectoring a growing diversity of pathogens and parasites which cause diseases. Efforts to limit human and animal morbidity and mortality caused by these disease vectors are dependent on understandings of their biology and ecology-from cellular to ecosystem levels. Here, we review research into the biology and ecology of invasive hematophagous arthropods globally, with a particular emphasis on mosquitoes, culminating towards management recommendations. Evolutionary history, genetics, and environmental filtering contribute to invasion success of these taxa, with life history trait and ecological niche shifts between native and invaded regions regularly documented. Pertinent vector species spread readily through active and passive means, via anthropogenic and natural mechanisms as climate changes. The rate and means of spread differ among taxa according to their capacity for entrainment in human vectors and physiology. It is critical to understand the role of these invaders in novel ecosystems, as biotic interactions, principally with their resources, competitors, and natural enemies, mediate patterns of invasion success. We further highlight recent advances in understanding interactions among arthropod-associated microbiota, and identify future research directions integrating arthropod microbiota to explain invasion success under changing environments. These biological and ecological facets provide an integrative perspective on the invasion history and dynamics of invasive hematophagous arthropods, helping inform on their management strategies. Genetic and microbiome features of invasive mosquitoes are reviewed.Movement patterns and geographic spread of mosquitoes are explored.A food-web approach to assess the impacts of invasive mosquitoes is presented.Novel perspectives for the management of invasive mosquitoes are considered.
Burkholderia pseudomallei, the causative agent of melioidosis, is found in soil and water of tropical and subtropical regions globally. Modelled estimates of the global burden predict that melioidosis remains vastly under-reported, and a call has been made for it to be recognized as a neglected tropical disease by the World Health Organization. Severe weather events and environmental disturbance are associated with increased case numbers, and it is anticipated that, in some regions, cases will increase in association with climate change. Genomic epidemiological investigations have confirmed B. pseudomallei endemicity in newly recognized regions, including the southern United States. Melioidosis follows environmental exposure to B. pseudomallei and is associated with comorbidities that affect the immune response, such as diabetes, and with socioeconomic disadvantage. Several vaccine candidates are ready for phase I clinical trials. In this Review, we explore the global burden, epidemiology and pathophysiology of B. pseudomallei as well as current diagnostics, treatment recommendations and preventive measures, highlighting research needs and priorities.
Following the industrialization era, there has been a drastic increase in the prevalence of food allergy throughout the world. Prior research suggests that the detrimental sequelae of industrialization, including anthropogenic emissions and climate change, are contributory to the increase in the prevalence of food allergy. The mechanism by which this association occurs may in part be explained by the epithelial barrier hypothesis-various environmental exposures such as mycotoxigenic fungi, PM, and CO2, compromising the integrity of the epithelial barrier in the skin, airway, and gut, leading to increased sensitization and inflammation that may increase an individual’s risk of developing food allergy. Climate change is also projected to increase pollination patterns in various parts of the world, with existing studies suggestive of impending increases of birch (spring allergen) and ragweed (fall) allergens, which may increase the incidence of PFAS and potentially worsen symptom severity for those already affected by PFAS. Similarly, those with EoE may have increased EoE exacerbations as pollen counts increase. The incidence of peanut allergy and/or sensitization may increase with air pollution, as Ara h1 levels are expected to increase with atmospheric CO2 levels. Overall, we anticipate that climate change and air pollutants will increase the incidence of food allergic disorders and carry significant consequences including compromised quality of life of those affected by these disorders, as well as increased health care utilization. Additional mechanistic and longitudinal studies are needed to better understand the complex dynamic relationships between climate change and food allergy.
PURPOSE OF REVIEW: The consequences of climate change, including heat and extreme weather events impact kidney function in adults and children. The impacts of climate change on kidney development during gestation and thereby on kidney function later in life have been poorly described. Clinical evidence is summarized to highlight possible associations between climate change and nephron mass. RECENT FINDINGS: Pregnant women are vulnerable to the effects of climate change, being less able to thermoregulate, more sensitive to the effects of dehydration, and more susceptible to infections. Exposure to heat, wildfire smoke, drought, floods and climate-related infections are associated with low birth weight, preterm birth and preeclampsia. These factors are associated with reduced nephron numbers, kidney dysfunction and higher blood pressures in offspring in later life. Exposure to air pollution is associated with higher blood pressures in children and has variable effects on estimated glomerular filtration rate. SUMMARY: Climate change has important impacts on pregnant women and their unborn children. Being born too small or too soon is associated with life-time risk of kidney disease. Climate change may therefore have a dual effect of impacting fetal kidney development and contributing to cumulative postnatal kidney injury. The impact on population kidney health of future generations may be significant.
Clinical and subclinical levels of anxiety and depression are common experiences during pregnancy for expectant women; however, despite rising awareness of significant climate change anxiety around the world, the extent to which this particular type of anxiety may be contributing to overall antenatal psychological distress is currently unknown. Furthermore, the content of concerns that expectant women may have for their existing or future children remains unexplored. To address this gap in knowledge, 103 expectant Australian women completed standardised assessments of antenatal worry and depression, climate change anxiety, and perceived distance to climate change, and responded to several open-ended questions on concerns they had for their children. Results indicated that climate change anxiety accounted for significant percentages of variance in both antenatal worry and depression scores and, unexpectedly, neither child number nor perceived distance to climate change moderated these relationships. Content analysis of qualitative data highlighted the significant health-related anxieties for participants’ children related to climate change (e.g., disease, exposure to extreme weather events, food/water insecurity). Given the escalating nature of climate change, further investigation of this relatively new stressor contributing to the experience of anxiety and distress, particularly in uniquely vulnerable groups such as expectant women, is urgently needed.
Climate change is a significant public health crisis that is both rooted in pre-existing inequitable socioeconomic and racial systems and will further worsen these social injustices. In the face of acute and slow-moving natural disasters, women, and particularly women of color, will be more susceptible to gender-based violence, displacement, and other socioeconomic stressors, all of which have adverse mental health outcomes. Among the social consequences of climate change, eco-anxiety resulting from these negative impacts is also increasingly a significant factor in family planning and reproductive justice, as well as disruptions of the feminine connection to nature that numerous cultures historically and currently honor. This narrative review will discuss these sociologic factors and also touch on ways that practitioners can become involved in climate-related advocacy for the physical and mental well-being of their patients.
Our world faces potentially catastrophic climate change that can damage human health in multiple ways. The impact of climate change is uneven, disproportionately affecting the lives and livelihoods of women and girls. This conceptual article compiles evidence for a model that argues that climate change has more detrimental consequences for women than men because of women’s precarity (unequal power) and corporal (physical) vulnerability. Climate change challenges the human rights of women and girls, triggering displacement, interrupted education, food and water scarcity, economic instability, mental and physical health challenges, reproductive injustice, gender-based violence, exploitation and human trafficking. Women are effective and essential change agents; their empowerment can directly contravene or mitigate climate change and also break the links between climate change and its negative consequences for women and girls. Gender-sensitive responses to the effects of climate change are imperative. Women’s empowerment will further human rights and achievement of the United Nations Sustainable Development Goals.
This paper, the first in a three-part Series on work and health, provides a narrative review of research into work as a social determinant of health over the past 25 years, the key emerging challenges in this field, and the implications of these challenges for future research. By use of a conceptual framework for work as a social determinant of health, we identified six emerging challenges: (1) the influence of technology on the nature of work in high-income countries, culminating in the sudden shift to telework during the COVID-19 pandemic; (2) the intersectionality of work with gender, sexual orientation, age, race, ethnicity, migrant status, and socioeconomic status as codeterminants of health disparities; (3) the arrival in many Organisation for Economic Co-operation and Development countries of large migrant labour workforces, who are often subject to adverse working conditions and social exclusion; (4) the development of precarious employment as a feature of many national labour markets; (5) the phenomenon of working long and irregular hours with potential health consequences; and (6) the looming threat of climate change’s effects on work. We conclude that profound changes in the nature and availability of work over the past few decades have led to widespread new psychosocial and physical exposures that are associated with adverse health outcomes and contribute to increasing disparities in health. These new exposures at work will require novel and creative methods of data collection for monitoring of their potential health impacts to protect the workforce, and for new research into better means of occupational health promotion and protection. There is also an urgent need for a better integration of occupational health within public health, medicine, the life sciences, and the social sciences, with the work environment explicitly conceptualised as a major social determinant of health.
Exposure to high heat and humidity in the workplace is a critical health and safety issue. In Australia, where heat waves are occurring with more frequency and intensity the risks posed by occupational heat exposure have been acknowledged by employer groups, trade unions, and statutory government agencies. In this study we investigate the employment context in which heat stress is experienced, and whether the mode of employment affects the capacity to manage it. We examine the experience of workplace heat exposure for two groups of affected outdoor workers: contracted pieceworkers in bicycle delivery and permanently employed municipal workers in parks and road maintenance. Data was collected in Sydney during the summer of 2019 via surveys and in-person interviews with the two sets of workers. Research findings reflect the well-established nexus between outside temperature, humidity and work effort in producing heat stress. The comparative findings reveal that more secure forms of employment enable social organisation and workflow to manage heat stress and that, conversely, more contingent forms of employment such as contractual piece work can exacerbate exposure. The research dem-onstrates that the mode of employment has a direct bearing on the capacity to address workplace heat stress: growth in contract or ‘gig’ work may exacerbate impacts; this issue is likely to become more important with advancing climate change.
Extreme heat events directly impact worker health and cause additional cascading and transitional workplace impacts. However, current investigations on these impacts often rely on specific datasets (e.g., compensation claims, hospitalizations). Thus, to continue to work towards preventing and mitigating the occupational risks posed by extreme heat events, this study aimed to explore the occupational impacts of the 2021 Heat Dome in Canada using a qualitative content analysis method on a news-based dataset. A systematized review of news articles published before, during, and after the 2021 Heat Dome was conducted on academic (n = 8) and news (n = 5) databases, along with targeted grey literature. Two researchers qualitatively coded the articles in NVivo for occupational impacts or references mentioned within the articles. Overall, 52 different occupations were identified as being impacted by the 2021 Heat Dome. Impacts were diverse and ranged from work cancellations or delays to work modifications and reports of heat-related illnesses. The 2021 Heat Dome impacted the health and safety of many occupational groups and provided new insights into the expanding impacts that extreme heat events can have on the Canadian workforce. With climate projections showing a growing trend of more hot days and intense heat waves in Canada, addressing these concerns should be a critical priority.
The cattle tick Rhipicephalus microplus (Acari: Ixodidae) has demonstrated its ability to increase its distribution raising spatially its importance as a vector for zoonotic hemotropic pathogens. In this study, a global ecological niche model of R. microplus was built in different scenarios using Representative Concentration Pathway (RCP), Socio-Economic Pathway (SSP), and a climatic dataset to determine where the species could establish itself and thus affect the variability in the presentation of the hemotropic diseases they transmit. America, Africa and Oceania showed a higher probability for the presence of R. microplus in contrast to some countries in Europe and Asia in the ecological niche for the current period (1970-2000), but with the climate change, there was an increase in the ratio between the geographic range preserved between the RCP and SSP scenarios obtaining the greatest gain in the interplay of RCP4.5-SSP245. Our results allow to determine future changes in the distribution of the cattle tick according to the increase in environmental temperature and socio-economic development influenced by human development activities and trends; this work explores the possibility of designing integral maps between the vector and specific diseases.
Helminth zoonoses remain a global problem to public health and the economy of many countries. Polymerase chain reaction-based techniques and sequencing have resolved many taxonomic issues and are now essential to understanding the epidemiology of helminth zoonotic infections and the ecology of the causative agents. This is clearly demonstrated from research on Echinococcus (echinococcosis) and Trichinella (trichinosis). Unfortunately, a variety of anthropogenic factors are worsening the problems caused by helminth zoonoses. These include cultural factors, urbanization and climate change. Wildlife plays an increasingly important role in the maintenance of many helminth zoonoses making surveillance and control increasingly difficult. The emergence or re-emergence of helminth zoonoses such as Ancylostoma ceylanicum, Toxocara, Dracunculus and Thelazia exacerbate an already discouraging scenario compounding the control of a group of long neglected diseases.
In African public health systems, Listeria monocytogenes is a pathogen of relatively low priority. Yet, the biggest listeriosis outbreak recorded to date occurred in Africa in 2018. This review highlights the factors that potentially impact L. monocytogenes transmission risks through African food value chains (FVCs). With the high rate of urbanisation, African FVCs have become spatially longer yet still informal. At the same time, dietary diversifications have resulted in increased consumption of processed ready-to-eat (RTE) meat, poultry, fishery and dairy products typically associated with a higher risk of L. monocytogenes consumer exposure. With frequent cold chain challenges, the potential of L. monocytogenes growth in contaminated RTE foods can further amplify consumer exposure risks. Moreover, the high prevalence of untreated HIV infections, endemic anaemia, high fertility rate and a gradually increasing proportion of elderly persons expands the fraction of listeriosis-susceptible groups among African populations. With already warmer tropical conditions, the projected climate change-induced increases in ambient temperatures are likely to exacerbate listeriosis risks in Africa. As precautionary approaches, African countries should implement systems for the detection and reporting of listeriosis cases and food safety regulations that provide L. monocytogenes standards and limits in high-risk RTE foods.
Rising temperatures are impacting the range and prevalence of mosquito-borne diseases. A promising biocontrol technology replaces wild mosquitoes with those carrying the virus-blocking Wolbachia bacterium. Because the most widely used strain, wMel, is adversely affected by heat stress, we examined how global warming may influence wMel-based replacement. We simulated interventions in two locations with successful field trials using Coupled Model Intercomparison Project Phase 5 climate projections and historical temperature records, integrating empirical data on wMel’s thermal sensitivity into a model of Aedes aegypti population dynamics to evaluate introgression and persistence over one year. We show that in Cairns, Australia, climatic futures necessitate operational adaptations for heatwaves exceeding two weeks. In Nha Trang, Vietnam, projected heatwaves of three weeks and longer eliminate wMel under the most stringent assumptions of that symbiont’s thermal limits. We conclude that this technology is generally robust to near-term (2030s) climate change. Accelerated warming may challenge this in the 2050s and beyond.
Ťahyňa virus (TAHV) is an orthobunyavirus and was the first arbovirus isolated from mosquitoes in Europe and is associated with floodplain areas as a characteristic biotope, hares as reservoir hosts and the mammal-feeding mosquitoes Aedes vexans as the main vector. The disease caused by TAHV (“Valtice fever”) was detected in people with acute flu-like illness in the 1960s, and later the medical significance of TAHV became the subject of many studies. Although TAHV infections are widespread, the prevalence and number of actual cases, clinical manifestations in humans and animals and the ecology of transmission by mosquitoes and their vertebrate hosts are rarely reported. Despite its association with meningitis in humans, TAHV is a neglected human pathogen with unknown public health importance in Central Europe, and a potential emerging disease threat elsewhere in Europe due to extreme summer flooding events.
Water-related climatic disasters pose a significant threat to human health due to the potential of disease outbreaks, which are exacerbated by climate change. Therefore, it is crucial to predict their occurrence with sufficient lead time to allow for contingency plans to reduce risks to the population. Opportunities to address this challenge can be found in the rapid evolution of digital technologies. This study conducted a critical analysis of recent publications investigating advanced technologies and digital innovations for forecasting, alerting, and responding to waterrelated extreme events, particularly flooding, which is often linked to disaster-related disease outbreaks. The results indicate that certain digital innovations, such as portable and local sensors integrated with web-based platforms are new era for predicting events, developing control strategies and establishing early warning systems. Other technologies, such as augmented reality, virtual reality, and social media, can be more effective for monitoring flood spread, disseminating before/during the event information, and issuing warnings or directing emergency responses. The study also identified that the collection and translation of reliable data into information can be a major challenge for effective early warning systems and the adoption of digital innovations in disaster management. Augmented reality, and digital twin technologies should be further explored as valuable tools for better providing of communicating complex information on disaster development and response strategies to a wider range of audiences, particularly non-experts. This can help to increase community engagement in designing and operating effective early warning systems that can reduce the health impact of climatic disasters.
Climate change may lead to more frequent and severe weather events, resulting in significant financial and human health impacts. This paper develops a risk metric using building performance simulation by associating thermal and incidental risks in buildings during power outages while considering multiple cold and hot events. Conditional Value at Risk (CVaR) is calculated using variations in outage events. According to the results, employing an integrated building design and a microgrid with photovoltaic panels that can be disconnected from the grid halves vulnerability related to ice storms and completely mitigates it for historical heatwave events. The variability study has revealed that a code-minimum design has eight times the CVaR of the as-built design. This novel methodology has the potential to inform future environmental, social, and corporate governance strategies and assist infrastructure operators in managing their risk exposure to future climate change events, considering various types of risks and multiple hazards.
In Canada, Indigenous populations are disproportionately threatened by wildfire smoke and the associated adverse health impacts. This paper presents the results of a narrative review of 51 academic and related resources which explored protective action decision making during wildfire smoke events within Indigenous communities in Canada. A search of scholarly articles and other relevant sources yielded resources which were subject to thematic analysis and described in order to present a narrative review of current knowledge and gaps in research. A small and growing literature provides insights into protective actions taken by the general population during wildfire smoke events, but very little is known about protective actions taken by Indigenous peoples in Canada during wildfire smoke events. This lack of understanding hinders the capacity of decision makers to improve emergency management and minimize community health impacts of wildfire smoke.
Exposure to fine particles in wildfire smoke is deleterious for human health and can increase cases of cardio-respiratory illnesses and related hospitalizations. Neighborhood-level risk factors can increase susceptibility to environmental hazards, such as air pollution from smoke, and the same exposure can lead to different health effects across populations. While the San Diego-Tijuana border can be exposed to the same wildfire smoke event, socio-demographic differences may drive differential effects on population health. We used the October 2007 wildfires, one the most devastating wildfire events in Southern California that brought smoke to the entire region, as a natural experiment to understand the differential effect of wildfire smoke on both sides of the border. We applied synthetic control methods to evaluate the effects of wildfire smoke on cardio-respiratory hospitalizations in the Municipality of Tijuana and San Diego County separately. During the study period (October 11th- October 26th, 2007), 2009 hospital admissions for cardio-respiratory diseases occurred in San Diego County while 37 hospital admissions were reported in the Municipality of Tijuana. The number of cases in Tijuana was much lower than San Diego, and a precise effect of wildfire smoke was detected in San Diego but not in Tijuana. However, social drivers can increase susceptibility to environmental hazards; the poverty rate in Tijuana is more than three times that of San Diego. Socio-demographics are important in modulating the effects of wildfire smoke and can be potentially useful in developing a concerted regional effort to protect populations on both sides of the border from the adverse health effects of wildfire smoke.
BACKGROUND: Wildfire-related fine particulate matter (PM(2.5)) has many adverse health impacts, but its impacts on human epigenome are unknown. We aimed to evaluate the associations between long-term exposure to wildfire-related PM(2.5) and blood DNA methylation, and whether the associations differ from those with non-wildfire-related PM(2.5). METHODS: We studied 479 Australian women comprising 132 twin pairs and 215 of their sisters. Blood-derived DNA methylation was measured using the HumanMethylation450 BeadChip array. Data on 3-year (year of blood collection and previous two years) average wildfire-related and non-wildfire-related PM(2.5) at 0.01°×0.01° spatial resolution were created by combining information from satellite observations, chemical transport models, and ground-based observations. Exposure data were linked to each participant’s home address, assuming the address did not change during the exposure window. For DNA methylation of each cytosine-guanine dinucleotide (CpG), and for global DNA methylation represented by the average of all measured CpGs or CpGs in repetitive elements, we evaluated their associations with wildfire- or non-wildfire-related PM(2.5) using a within-sibship analysis controlling for factors shared between siblings and other important covariates. Differentially methylated regions (DMRs) were defined by comb-p and DMRcate. RESULTS: The 3-year average wildfire-related PM(2.5) (range: 0.3 to 7.6 µg/m(3)(,) mean: 1.6 µg/m(3)) was negatively, but not significantly (p-values greater than 0.05) associated with all seven global DNA methylation measures. There were 26 CpGs and 33 DMRs associated with wildfire-related PM(2.5) (Bonferroni adjusted p-value < 0.05) mapped to 47 genes enriched for pathways related to inflammatory regulation and platelet activation. These genes have been related to many human diseases or phenotypes e.g., cancer, mental disorders, diabetes, obesity, asthma, blood pressure. These CpGs, DMRs and enriched pathways did not overlap with the 1 CpG and 7 DMRs associated with non-wildfire-related PM(2.5). CONCLUSIONS: Long-term exposure to wildfire-related PM(2.5) was associated with various blood DNA methylation signatures in Australian women, and these were distinct from those associated with non-wildfire-related PM(2.5).
Climate change is leading to worsening disasters that disproportionately impact older adults. While research has begun to measure disparities, there is a gap in examining wildfire-specific disasters. To address this gap, this scoping review analyzed literature to explore the nexus of wildfires and older adults. We searched peer-reviewed literature using the following inclusion criteria: (1) published in a peer-reviewed journal; (2) available in English; (3) examines at least one topic related to wildfires; and (4) examines how criterion three relates to older adults in at least one way. Authors screened 261 titles and abstracts and 138 were reviewed in full, with 75 articles meeting inclusion criteria. Findings heavily focused on health impacts of wildfires on older adults, particularly of smoke exposure and air quality. While many articles mentioned a need for community-engaged responses that incorporate the needs of older adults, few addressed firsthand experiences of older adults. Other common topics included problems with evacuation, general health impacts, and Indigenous elders’ fire knowledge. Further research is needed at the nexus of wildfires and older adults to highlight both vulnerabilities and needs as well as the unique experience and knowledge of older adults to inform wildfire response strategies and tactics.
Wildfires are relevant sources of PM emissions and can have an important impact on air pollution and human health. In this study, we examine the impact of wildfire PM emissions on the Piemonte (Italy) air quality regional monitoring network using a Generalized Additive Mixed Model. The model is implemented with daily PM10 and PM2.5 concentrations sampled for 8 consecutive years at each monitoring site as the response variable. Meteorological data retrieved from the ERA5 dataset and the observed burned area data stored in the Carabinieri Forest Service national database are used in the model as explanatory variables. Spline functions for predictive variables and smooths for multiple meteorological variables’ interactions improved the model performance and reduced uncertainty levels. The model estimates are in good agreement with the observed PM data: adjusted R-2 range was 0.63-0.80. GAMMs showed rather satisfactory results in order to capture the wildfires contribution: some severe PM pollution episodes in the study area due to wildfire air emissions caused peak daily levels up to 87.3 mu g/m(3) at the Vercelli PM10 site (IT1533A) and up to 67.7 mu g/m(3) at the Settimo Torinese PM2.5 site (IT1130A).
Climate change favors weather conditions conducive to wildland fires. The intensity and frequency of forest fires are increasing, and fire seasons are lengthening. Exposure of human populations to smoke emitted by these fires increases, thereby contributing to airborne pollution through the emission of gas and particulate matter (PM). The adverse health outcomes associated with wildland fire exposure represent an important burden on the economies and health systems of societies. Even though cardiovascular diseases (CVDs) are the main of cause of the global burden of diseases attributable to PM exposure, it remains difficult to show reliable associations between exposure to wildland fire smoke and cardiovascular disease risk in population-based studies. Optimal health requires a resilient and adaptable network of small blood vessels, namely, the microvasculature. Often alterations of this microvasculature precede the occurrence of adverse health outcomes, including CVD. Biomarkers of microvascular health could then represent possible markers for the early detection of poor cardiovascular outcomes. This review aims to synthesize the current literature to gauge whether assessing the microvasculature can better estimate the cardiovascular impact of wildland fires.
Climate change is impacting the health of individuals worldwide. At the same time, the healthcare sector contributes to carbon emissions. In Australia, healthcare contributes 7% of the country’s carbon footprint. Research into the environmental impact and mitigation of carbon emissions in primary care is an emerging area. OBJECTIVE: To explore staff perspectives on facilitators and barriers to environmental sustainability in 3 Australian general practices seeking to reduce their environmental impact. METHODS: We used a qualitative, case-study approach, conducting 23 semistructured interviews with staff across the 3 practices including nurses, administrative staff, and doctors. Observation of systems and staff behaviour relating to environmental sustainability was undertaken at 1 practice. Thematic analysis was conducted to determine themes relating to factors influencing the implementation of environmentally sustainable initiatives within practice settings. RESULTS: Climate mitigation efforts raised by participants were largely focussed on energy and waste reduction, rather than prescribing pharmaceuticals and staff and patient transport. Three main factors influencing change towards sustainable practice were identified: “Leadership,” “Staff Engagement and Workplace Culture,” and “Concomitant Benefits.” A leadership team and workplace culture that valued environmental sustainability were found to be important facilitators, as were concomitant benefits, in particular financial savings. Barriers included what interviewees described as a lack of knowledge about initiatives with the highest impact, lack of understanding described by staff of the evidence behind particular initiatives, waning staff engagement and infection control concerns. CONCLUSIONS: Our research highlights several important factors that contribute to the implementation of intended environmentally sustainable initiatives in these 3 practices. Further education, research and high-level policy guidance on the potential environmental impact of prescribing pharmaceuticals, staff and patient transport and unnecessary tests and treatments are recommended to further promote environmental sustainability in primary care.
Constraining an increase in global mean temperature below 2 degrees C compared to pre-industrial levels is critical to limiting dangerous and cascading impacts of anthropogenic climate change. Understanding future climatic changes and their spatial heterogeneity at 2 degrees C warming is thus important for policy makers to prepare actionable adaptation and mitigation plans by identifying where and to what extent lives and livelihoods will be impacted. This study uses the recently released NASA Earth eXchange Global Daily Downscaled Projections (NEX-GDDP) CMIP6 data to provide a broad overview of projected changes in six key climate variables and two climate impact indicators at a time when warming exceeds 2 degrees C. Analysis of global mean temperature changes indicates the 2040s as the decade when most CMIP6 models reach 2 degrees C warming with respect to a pre-industrial period (1850-1900). During the 2040s, we find that global mean temperature, precipitation, relative humidity, downwelling shortwave and longwave radiation, and wind speed over land under the high emission scenario are projected to change by +2.8 degrees C, +22.4 mm/year, -0.73%, -2.23 , +15.9 W/m(2), and -0.04 m/s, respectively. Many of the future changes are expected to exacerbate climate impacts including heat stress and fire danger. Our analysis shows geographic patterns of policy-relevant climatic changes, as parts of the globe will experience significant climate impacts even if the goal to keep warming below 2 degrees C goal is achieved. Our results highlight the urgent need for further studies focused on identifying key hotspots and advancing region-specific actionable adaptation and mitigation plans.
Healthcare governing boards, executives, medical staff, health professionals, and allied staff members should all play a role in devising, promoting, and implementing solutions for climate change mitigation, which must extend beyond the boundaries of their own workplaces and healthcare institutions. Such actions can potentially influence not only healthcare professionals and their patients but also healthcare supply chains and entire communities. Thus, leaders of healthcare organizations can play a vital role in leading by example. The authors herein propose some initiatives for promoting and implementing a culture of sustainability and climate action in medicine.
Excessive summer heat is becoming people’s daily reality creating an urgency to understand heatwaves and their consequences better. This article suggests an interdisciplinary analytical framework of heat(waves) as multiple objects. It brings together data and perspectives from social anthropology, sociology, climate science, epidemiology, and meteorology to map the gaps in knowledge about heat(waves) and their impacts on one of the most vulnerable groups: older adults. Based on research in Poland and Spain, we look at heat(waves) as simultaneously individual experiences, biophysical changes, and socio-political phenomena. Climatologists and meteorologists define heat(waves) as prolonged episodes of abnormally high temperatures. Epidemiologists perceive heat(waves) through raising morbidity and mortality rates. For policymakers, they are an emergency defined by duration and temperature thresholds. Older adults living in Warsaw and Madrid recognize a heat(wave) when they feel it in their bodies, when they cannot sleep, or when they need to change their daily routines. Such differently situated scientific definitions and embodied knowledge stem not only from varied epistemological perspectives but demonstrate that heat(waves) are ontologically different. By looking at convergences and divergences between these perspectives, we see that the length of heat(waves) varies and that older adults often experience longer periods of excessive heat than climate measurements or policy alerts indicate; that the impact of nighttime temperatures is more important than daily temperatures; and that there is a discrepancy between heat(waves) as anomalies and as increasingly common events. The article addresses an important gap between biophysical definitions of heatwaves and the experiences of the most vulnerable groups.
Invasive fungal infections are an increasingly important cause of morbidity and mortality. We provide a summary of important changes in the epidemiology of invasive fungal infections, citing examples of new emerging pathogens, expanding populations who are at-risk, and increasing antifungal resistance. We review how human activity and climate change may play a role in some of these changes. Finally, we discuss how these changes create the need for advances in fungal diagnostics. The limitations of existing fungal diagnostic testing emphasize the critically important role of histopathology in the early recognition of fungal disease.
BACKGROUND: Immediate action is needed to stabilise the climate. Dietitians require knowledge of how the therapeutic diets they prescribe may contribute to climate change. No previous research has quantified the climate footprint of therapeutic diets. This study sought to quantify and compare the climate footprint of two types of therapeutic diets for people with chronic kidney disease (CKD) with two reference diets. METHODS: A usual diet for an individual with CKD and a novel plant-based diet for CKD were compared with the current Australian diet and the Australian-adapted EAT Lancet Planetary Health Diet (PHD). The climate footprint of these diets was measured using the Global Warming Potential (GWP*) metric for a reference 71-year-old male. RESULTS: No diets analysed were climate neutral, and therefore, all contribute to climate change. The novel plant-based diet for CKD (1.20 kg carbon dioxide equivalents [CO(2) e] per day) produced 35% less CO(2) e than the usual renal diet for an individual with CKD (1.83 kg CO(2) e per day) and 50% less than the current Australian diet (2.38 kg CO(2) e per day). The Australian-adapted EAT Lancet PHD (1.04 kg CO(2) e per day) produced the least amount of CO(2) e and 56% less than the current Australian diet. The largest contributors to the climate footprint of all four diets were foods from the meats and alternatives, dairy and alternatives and discretionary food groups. CONCLUSIONS: Dietetic advice to reduce the climate footprint of therapeutic diets for CKD should focus on discretionary foods and some animal-based products. Future research is needed on other therapeutic diets.
Research on the emotional experience of climate change has become a hot topic. Yet uncertainties remain regarding the interplay between climate change-related emotions (i.e., eco-anxiety, eco-anger, eco-sadness), general emotions (i.e., regardless of climate change), and pro-environmental behaviors. Most previous research has focused on cross-sectional studies, and eco-emotions in everyday life have seldom been considered. In this preregistered study, 102 participants from the general population rated their eco-emotions (i.e., eco-anxiety, eco-anger, eco-sadness), general emotions (i.e., anxiety, anger, sadness), and pro-environmental intentions and behaviors daily over a 60-day period. Using a multilevel vector autoregressive approach, we computed three network models representing temporal (i.e., from one time-point to the next), contemporaneous (i.e., during the same time-frame), and between-subject (i.e., similar to cross-sectional approach) associations between variables. Results show that eco-anger was the only predictor of pro-environmental intentions and behaviors over time. At the contemporaneous level, the momentary experience of each eco-emotion was associated with the momentary emotional experience of the corresponding general emotion, indicating the distinctiveness of each eco-emotion and the correspondence between its experience and that of its general, non-climate-related emotion. Overall, our findings 1) emphasize the driving role of eco-anger in prompting pro-environmental behaviors over time, 2) suggest a functional and experiential distinction between eco-emotions, and 3) provide data-driven clues for the field’s larger quest to establish the scientific foundations of eco-emotions.
Empirical observations and mathematical models show that climate warming can lead to the northern (or, more generally, poleward) spread of host species ranges and their corresponding diseases. Here, we consider an unexpected possibility whereby climate warming facilitates disease spread in the opposite direction to the directional shift in the host species range. To explore this possibility, we consider two host species, both susceptible to a disease, but spatially isolated due to distinct thermal niches, and where prior to climate warming the disease is endemic in the northern species only. Previous theoretical results show that species distributions can lag behind species thermal niches when climate warming occurs. As such, we hypothesize that climate warming may increase the overlap between northern and southern host species ranges, due to the northern species lagging behind its thermal tolerance limit. To test our hypothesis, we simulate climate warming as a reaction-diffusion equation model with a Susceptible-Infected (SI) epidemiological structure, for two competing species with distinct temperature-dependent niches. We show that climate warming, by shifting both species niches northwards, can facilitate the southward spread of disease, due to increased range overlap between the two populations. As our model is general, our findings may apply to viral, bacterial, and prion diseases that do not have thermal tolerance limits and are inextricably linked to their hosts distributions, such as the spread of rabies from arctic to red foxes.
The coronavirus disease 2019 (COVID-19) pandemic has increased the risk of psychological distress among adolescents. Moreover, adolescents in 70 countries have suffered simultaneously from the COVID-19 pandemic and flood disasters. Research on the protective role of mindfulness on psychological distress is warranted; moreover, the practical needs arising from disasters require a deeper understanding of the potentially complex interplay between mindfulness and psychological distress. Using social-ecological systems theory, this study examined the moderating effects of self-harm and negotiable fate on the relationship between mindfulness and psychological distress in adolescents suffering from concurrent dual disasters (COVID-19 and flood disasters). High school adolescents (N = 1679; 49.3% adolescent boys) in Zhengzhou, China, completed the Child and Adolescent Mindfulness Measure, Suicide Thoughts and Behaviors Checklist, Negotiable Fate Questionnaire, and Depression Anxiety Stress Scales-21. A three-way interaction model was developed. The results indicate that mindfulness has a significant negative relationship with psychological distress during disasters. Moreover, self-harm and negotiable fate significantly moderated the negative associations between mindfulness and psychological distress in adolescents enduring concurrent dual disasters (three-way interaction effects model). These findings highlight the significance of the interactions between different ecological system factors in the negative associations between mindfulness and psychological distress amid disasters.
Water suppliers in New Zealand have been preparing the water safety plans (WSPs) since 2005; large drinking water-associated outbreaks of campylobacteriosis occurred in Darfield in 2012 and in Havelock North in 2016. This paper reviews the WSP that was in place for Havelock North, and analyses why it failed to prevent this outbreak. The risk assessment team completing the WSP underestimated the risks to human health of contamination events, while overestimating the security of the groundwater and bore heads. Historical Escherichia coli transgressions were dismissed as likely despite sampler or testing errors, rather than important warning signals. The outbreak was a consequence of multiple factors including an untreated supply, a local animal faecal source, limitations to the aquifer integrity and bore head protection, and a failure to proactively respond to a flooding event. The overarching issue was a focus on narrow compliance with the Health Act rather than the use of the WSP as a valuable tool to proactively understand and manage public health risks. New Zealand plans to focus on the ability of an organisation to manage risk, with the emphasis on promoting conversations with water suppliers about integrated risk management rather than focusing solely on the preparation of a WSP.
In the Pacific Islands region, many leaders are resisting the global inequalities and fossil fuel burning that drive climate change, and are promoting human rather than state-centric security. Within this region, Pacific women contribute significantly to human security through top-down protection and bottom-up empowerment. Yet institutional bias at global and local levels means that efforts to address women’s climate vulnerabilities risk simply adding women into existing forums with a masculine and Eurocentric bias. Drawing on desktop sources, this essay demonstrates how gendered spaces and institutional bias lead to a devaluation or marginalisation of Pacific women’s work and interests and that such bias is a product of contemporary and historical colonial legacies. This means that women may be included but policy will still have gendered impacts. Ensuring human security is gender equal requires examination of institutional processes and unwritten rules to determine whose security is truly being protected.
Today no one may be hesitant to talk about climate change because we are feeling its effects on health. In this article, you will find basic information about the subject, what it is, what causes it , what we can do about it. But you don’t need to be an expert on climate to talk about the risks climate change poses to human health, or the health benefits of taking action against these changes. When the subject is a climate change, we often hear specialist no knowledge in fact about subject. People often talk about climate change with too much emotion , without paying attention to the facts that are driving those climate changes. At one moment they talk about people and animals dying for lack of water or food, at another moment, they point to the negative effects on people’s health. This article points out some causes of the effects of these changes on people. One of the causes is the lack of water and the reduction of food supply. Another cause is heat wave with temperature reaching a record of 49 degrees Celsius in several cities, with an effect on people’s regular work, breathing difficulties and water shortage. This article is based on exploratory research to get to know the topic in more depth and establish an opening for future research. The technique for obtaining information is a bibliographical one that points out the facts that generate the impacts of climate change on the lives of people and animals, aiming to stimulate understanding and discussion about the problem. The first results of this research indicate that the problems generated by climate change in the health of people and animals are the reduction in food production, for example: the production of wheat in India; death of people in Pakistan, Spain, India due to temperatures of 49 degrees Celsius and, finally, the lack of water in Somalia and other regions.
BACKGROUND: Climate change significantly impacts health in low-and middle-income countries (LMICs), exacerbating vulnerabilities. Comprehensive data for evidence-based research and decision-making is crucial but scarce. Health and Demographic Surveillance Sites (HDSSs) in Africa and Asia provide a robust infrastructure with longitudinal population cohort data, yet they lack climate-health specific data. Acquiring this information is essential for understanding the burden of climate-sensitive diseases on populations and guiding targeted policies and interventions in LMICs to enhance mitigation and adaptation capacities. OBJECTIVE: The objective of this research is to develop and implement the Change and Health Evaluation and Response System (CHEERS) as a methodological framework, designed to facilitate the generation and ongoing monitoring of climate change and health-related data within existing Health and Demographic Surveillance Sites (HDSSs) and comparable research infrastructures. METHODS: CHEERS uses a multi-tiered approach to assess health and environmental exposures at the individual, household, and community levels, utilizing digital tools such as wearable devices, indoor temperature and humidity measurements, remotely sensed satellite data, and 3D-printed weather stations. The CHEERS framework utilizes a graph database to efficiently manage and analyze diverse data types, leveraging graph algorithms to understand the complex interplay between health and environmental exposures. RESULTS: The Nouna CHEERS site, established in 2022, has yielded significant preliminary findings. By using remotely-sensed data, the site has been able to predict crop yield at a household level in Nouna and explore the relationships between yield, socioeconomic factors, and health outcomes. The feasibility and acceptability of wearable technology have been confirmed in rural Burkina Faso for obtaining individual-level data, despite the presence of technical challenges. The use of wearables to study the impact of extreme weather on health has shown significant effects of heat exposure on sleep and daily activity, highlighting the urgent need for interventions to mitigate adverse health consequences. CONCLUSION: Implementing the CHEERS in research infrastructures can advance climate change and health research, as large and longitudinal datasets have been scarce for LMICs. This data can inform health priorities, guide resource allocation to address climate change and health exposures, and protect vulnerable communities in LMICs from these exposures.
The carbon dioxide induced ocean acidification (OA) process is well known to have profound effects on physiology, survival and immune responses in marine organisms, and particularly calcifiers including edible oysters. At the same time, some wild populations could develop a complex and sophisticated immune system to cope with multiple biotic and abiotic stresses, such as bacterial infections and OA, over the long period of coevolution with the environment. However, it is unclear how immunological responses and the underlying mechanisms are altered under the combined effect of OA and bacterial infection, especially in the ecologically and economically important edible oysters. Here, we collected the wild population of oyster species Crassostrea hongkongensis (the Hong Kong oyster) from their native estuarine area and carried out a bacterial challenge with the worldwide pervasive pathogen of human foodborne disease, Vibrio parahaemolyticus, to investigate the host immune responses and molecular mechanisms under the high-CO(2) and low pH-driven OA conditions. The wild population had a high immune resistance to OA, but the resistance is compromised under the combined effect of OA and bacterial infection both in vivo or in vitro. We classified all transcriptomic genes based on expression profiles and functional pathways and identified the specifically switched on and off genes and pathways under combined effect. These genes and pathways were mainly involved in multiple immunological processes including pathogen recognition, immune signal transduction and effectors. This work would help understand how the immunological function and mechanism response to bacterial infection in wild populations and predict the dynamic distribution of human health-related pathogens to reduce the risk of foodborne disease under the future climate change scenario.
The recent Land Back movement has catalysed global solidarity towards addressing the oppression and dispossession of Indigenous Peoples’ Lands and territories. Largely absent from the discourse, however, is a discussion of the alienation of Indigenous Peoples from Water by settler-colonial states. Some Indigenous Water Protectors argue that there cannot be Land Back without Water Back. In response to this emergent movement of Water Back, this review of research by Indigenous and non-Indigenous writers traces the discursive patterns of Indigenous Water relationships and rematriation across themes of colonialism, climate change, justice, health, rights, responsibilities, governance and cosmology. It advances a holistic conceptualization of Water Back as a framework for future research sovereignty, focusing mainly on instances in Canada, Australia, Aotearoa New Zealand, and the United States. We present the findings on the current global Waterscape of Indigenous-led research on Indigenous Water issues. Water Back offers an important framework centring Indigenous ways of knowing, doing, and being as a foundation for advancing Indigenous Water research.
This paper examines the impact of exposure to weather events during gestation on birth weight and anthropometric health of a cohort of children. We explore birth records for the cohort of children born between 2003 and 2013 in Sierra Leone using Demographic Health Surveys linked to temporal variation of rainfall and temperature patterns. We find that in utero droughts (or abnormally low precipitation levels) increase the prevalence of low birth weight with larger effects among boys. However, the effects of those same in utero shocks on the prevalence of stunting up to 59 months later are smaller for boys than for girls. The gender difference in estimated impacts from birth to anthropometric health is attributed to food consumption patterns that favour boys. Our results have policy implications for tracking health outcomes during early childhood using birth and anthropometric health, especially by gender.
BACKGROUND: Weather is a potentially important influence on how time is allocated to sleep, sedentary behaviour and physical activity across the 24-h day. Extremes of weather (very hot, cold, windy or wet) can create undesirable, unsafe outdoor environments for exercise or active transport, impact the comfort of sleeping environments, and increase time indoors. This 13-month prospective cohort study explored associations between weather and 24-h movement behaviour patterns. METHODS: Three hundred sixty-eight adults (mean age 40.2 years, SD 5.9, 56.8% female) from Adelaide, Australia, wore Fitbit Charge 3 activity trackers 24 h a day for 13 months with minute-by-minute data on sleep, sedentary behaviour, light physical activity (LPA), and moderate-to-vigorous physical activity (MVPA) collected remotely. Daily weather data included temperature, rainfall, wind, cloud and sunshine. Multi-level mixed-effects linear regression analyses (one model per outcome) were used. RESULTS: Ninety thousand eight hundred one days of data were analysed. Sleep was negatively associated with minimum temperature (-12 min/day change across minimum temperature range of 31.2 °C, p = 0.001). Sedentary behaviour was positively associated with minimum temperature (+ 12 min/day, range = 31.2 oC, p = 0.006) and wind speed (+ 10 min/day, range = 36.7 km/h, p< 0.001), and negatively associated with sunshine (-17 min/day, range = 13.9 h, p < 0.001). LPA was positively associated with minimum temperature (+ 11 min/day, range = 31.2 °C, p = 0.002), cloud cover (+ 4 min/day, range = 8 eighths, p = 0.008) and sunshine (+ 17 min/day, range = 13.9 h, p < 0.001), and negatively associated with wind speed (-8 min/day, range = 36.7 km/h, p < 0.001). MVPA was positively associated with sunshine (+ 3 min/day, range = 13.9 h, p < 0.001) and negatively associated with minimum temperature (-13 min/day, range = 31.2 oC, p < 0.001), rainfall (-3 min/day, range = 33.2 mm, p = 0.006) and wind speed (-4 min/day, range = 36.7 km/h, p < 0.001). For maximum temperature, a significant (p < 0.05) curvilinear association was observed with sleep (half-U) and physical activity (inverted-U), where the decrease in sleep duration appeared to slow around 23 °C, LPA peaked at 31 oC and MVPA at 27 °C. CONCLUSIONS: Generally, adults tended to be less active and more sedentary during extremes of weather and sleep less as temperatures rise. These findings have the potential to inform the timing and content of positive movement behaviour messaging and interventions. TRIAL REGISTRATION: The study was prospectively registered on the Australian New Zealand Clinical Trial Registry (Trial ID: ACTRN12619001430123).
Extreme weather events can cause significant human, economic and infrastructure losses. Within a changing climate, heatwaves, droughts, and floods are becoming more frequent and severe. Unfortunately, those who are most vulnerable are often disproportionately impacted. In this study, we examined the epidemiology of weather-related fatalities due to excessive heat (International Classification of Diseases [ICD]-10 codes X30); excessive cold (X31); storm and flood (X37; X38); and other causes (X32, X33, X39) in Australia between 2006-2019. There were 682 deaths due directly to weather-related events (41% excessive cold; 37% excessive heat; 15% storms and floods). The mean age of a weather-related victim in Australia was 60.8 years (SD = 24.1), with people aged 65+ years 12.8 times (95% confidence interval [CI]: 9.23-17.6) more likely to die due to a weather-related event. As the planet warms our study identifies declining excessive cold-related deaths, while other types of weather events remain steady or increase. In the context of climate change we must protect those most at risk; children and adolescents due to storms and floods, those with co-morbidities (particularly circulatory system disorders) and the elderly. Special attention should be paid to preventing excessive heat-related death among Aboriginal and Torres Strait Islander Peoples and international visitors.
The diseases transmitted through vectors such as mosquitoes are named vector-borne diseases (VBDs), such as malaria, dengue, and leishmaniasis. Malaria spreads by a vector named Anopheles mosquitos. Dengue is transmitted through the bite of the female vector Aedes aegypti or Aedes albopictus mosquito. The female Phlebotomine sandfly is the vector that transmits leishmaniasis. The best way to control VBDs is to identify breeding sites for their vectors. This can be efficiently accomplished by the Geographical Information System (GIS). The objective was to find the relation between climatic factors (temperature, humidity, and precipitation) to identify breeding sites for these vectors. Our data contained imbalance classes, so data oversampling of different sizes was created. The machine learning models used were Light Gradient Boosting Machine, Random Forest, Decision Tree, Support Vector Machine, and Multi-Layer Perceptron for model training. Their results were compared and analyzed to select the best model for disease prediction in Punjab, Pakistan. Random Forest was the selected model with 93.97% accuracy. Accuracy was measured using an F score, precision, or recall. Temperature, precipitation, and specific humidity significantly affect the spread of dengue, malaria, and leishmaniasis. A user-friendly web-based GIS platform was also developed for concerned citizens and policymakers.
The Wet Bulb Globe Temperature (WBGT) is an international standard heat index used by the health, industrial, sports, and climate sectors to assess thermal comfort during heat extremes. Observations of its components, the globe and the wet bulb temperature (WBT), are however sparse. Therefore WBGT is difficult to derive, making it common to rely on approximations, such as the ones developed by Liljegren et al. (2008, https://doi.org/10.1080/15459620802310770, WBGTLiljegren ) and by the American College of Sports Medicine ( WBGTACSM87 ). In this study, a global data set is created by implementing an updated WBGT method using ECMWF ERA5 gridded meteorological variables and is evaluated against existing WBGT methods. The new method, WBGTBrimicombe , uses globe temperature calculated using mean radiant temperature and is found to be accurate in comparison to WBGTLiljegren across three heatwave case studies. In addition, it is found that WBGTACSM87 is not an adequate approximation of WBGT. Our new method is a candidate for a global forecasting early warning system.
Rising temperatures will impact urban communities, which are growing as a proportion of the global population. However, the effects of increasing temperature may not be felt equally, with less wealthy neighbourhoods experiencing hotter thermal environments in some urban areas because of geographic location and tree cover. While relationships have been drawn between wealth inequality and temperature in urban areas, these rarely project into the future or combine humidity and air temperatures into ‘wet-bulb temperature’ at fine spatial resolution, which is more directly relevant to the human experienced environment. Here I present an analysis of present and future wet-bulb temperatures in Hong Kong, an economically developed subtropical city in South-East Asia. I couple census data with recently available 30 x 30 m resolution climate models to examine how the income of districts and their physical characteristics are correlated with human-experienced local temperatures. I uncover evidence of thermal inequity, with wealthier districts exhibiting cooler conditions than less wealthy districts. Projecting into the future using three different climate change scenarios I demonstrate that wet-bulb temperatures considered dangerous to human survival may be commonly experienced in Hong Kong by the end of the century. However, the wealthiest districts of Hong Kong are likely to have a thermal safety margin of at least 25-30 years more than the least wealthy districts before these dangerous temperatures are reached. Due to the high population density and economic importance of the region, these findings have significant implications for public health and urban planning as global temperatures continue to rise.
The climatological parameters can be different in various geographical locations. Moreover, they have possible impacts on COVID-19 incidence. Therefore, the purpose of this systematic review article was to describe the effects of climatic variables on COVID-19 pandemic in different countries. Systematic literature search was performed in Scopus, ISI Web of Science, and PubMed databases using (“Climate” OR “Climate Change” OR “Global Warming” OR “Global Climate Change” OR “Meteorological Parameters” OR “Temperature” OR “Precipitation” OR “Relative Humidity” OR “Wind Speed” OR “Sunshine” OR “Climate Extremes” OR “Weather Extremes”) AND (“COVID” OR “Coronavirus disease 2019” OR “COVID-19” OR “SARS-CoV-2” OR “Novel Coronavirus”) keywords. From 5229 articles, 424 were screened and 149 were selected for further analysis. The relationship between meteorological parameters is variable in different geographical locations. The results indicate that among the climatic indicators, the temperature is the most significant factor that influences on COVID-19 pandemic in most countries. Some studies were proved that warm and wet climates can decrease COVID-19 incidence; however, the other studies represented that warm location can be a high risk of COVID-19 incidence. It could be suggested that all climate variables such as temperature, humidity, rainfall, precipitation, solar radiation, ultraviolet index, and wind speed could cause spread of COVID-19. Thus, it is recommended that future studies will survey the role of all meteorological variables and interaction between them on COVID-19 spread in specific small areas such as cities of each country and comparison between them.
Meteorological factors are a critical component of a sustainable society, especially in the context of climate change. Although studies have linked key meteorological factors to unintentional injuries, their joint effects on the occurrence of unintentional injuries remain unclear. We conducted a case-crossover study using a sentinel-based injury database in a mega-city in China and identified the vulnerable subgroups by demographic and injury characteristics. We observed significantly increased cumulative risk associated with each interquartile range increase in temperature (excess risk [ER] range=4.78-7.05%) and precipitation (ER range=1.00-2.09%) from lag0-1 day onwards. Conversely, there was a significantly decreased risk with relative humidity (RH) from lag0-2 days onwards (ER range=-2.83 to -2.10%). The link between meteorological factors and unintentional injuries was worthy of particular attention for the working-age groups, males, and those with fall-related injuries, road-related injuries, or fractures. Climate conditions with high wind speed (WS) and temperature combined with low precipitation and RH exhibited the greatest ER. The ER of high WS and RH, combined with low pre-cipitation and temperature, was also significant. These key factors may jointly contribute to unintentional injury, which is important for evidence-based climate mitigation and injury prevention.
BACKGROUND: Vibrio species bloodstream infections have been associated with significant mortality and morbidity. Limited information is available regarding the epidemiology of bloodstream infections because of Vibrio species in the Australian context. AIMS: The objective of this study was to define the incidence and risk factors for developing Vibrio species bloodstream infections and compare differences between different species. METHODS: All patients with Vibrio spp. isolated from positive blood cultures between 1 January 2000 and 31 December 2019 were identified by the state-wide Pathology Queensland laboratory. Demographics, clinical foci of infections and comorbid conditions were collected in addition to antimicrobial susceptibility results. RESULTS: About 100 cases were identified between 2000 and 2019 with an incidence of 1.2 cases/1 million person-years. Seasonal and geographical variation occurred with the highest incidence in the summer months and in the tropical north. Increasing age, male sex and multiple comorbidities were identified as risk factors. Vibrio vulnificus was isolated most frequently and associated with the most severe disease. Overall case fatality was 19%. CONCLUSIONS: There is potential for increasing cases of Vibrio species infections globally with ageing populations and climate change. Ongoing clinical awareness is required to ensure optimal patient outcomes.
V. vulnificus, continues being an underestimated yet lethal zoonotic pathogen. In this chapter, we provide a comprehensive review of numerous aspects of the biology, epidemiology, and virulence mechanisms of this poorly understood pathogen. We will emphasize the widespread role of horizontal gene transfer in V. vulnificus specifically virulence plasmids and draw parallels from aquaculture farms to human health. By placing current findings in the context of climate change, we will also contend that fish farms act as evolutionary drivers that accelerate species evolution and the emergence of new virulent groups. Overall, we suggest that on-farm control measures should be adopted both to protect animals from Vibriosis, and also as a public health measure to prevent the emergence of new zoonotic groups.
The current status of the exploitation, use, and management of water resources in the context of socioeconomic development, climate change, and issues related to the region are causing negative impacts on the water resources of Vietnam. This study aimed to develop a framework for assessing Vietnam’s water security based on the following key aspects: (i) the availability of water resources; (ii) the current status of water exploitation and use; (iii) the current status of waste water and water pollution; (iv) water resource management organization; and (v) water-related disasters, including floods, droughts, subsidence, coastal erosion, landslides, ecological imbalance, and diseases related to water resources. In particular, the challenges of transboundary water resources and the food-energy-water nexus were investigated. We reviewed the assessment frameworks that have recently been developed outside Vietnam or regions with similar climates and analyzed the characteristics of downstream and rapid-growth countries such as Vietnam using a number of key water resource indicators, both qualitative and quantitative. From these processes, we developed an assessment framework and provided a perspective on water security. The results of this study showed that the challenge of transboundary water resources, the impact of climate change, the pressure on socioeconomic development, and the water-energy-food nexus are core issues that need to be addressed from the perspective of water security in Vietnam. This case study may be helpful for downstream and developing countries.
Climate-related shocks, the COVID-19 pandemic, and the war in Ukraine have exacerbated world hunger, making it more difficult for people to meet their nutritional needs. This viewpoint examines, for 136 countries, the ability of populations to afford an energy-sufficient and a healthy diet in the face of shocks. Using pre -pandemic data from 2019, we calculate the percentage of countries’ populations at risk of losing access to these diets in the event of a one-tenth, one-fifth, or one-third reduction in real income. We find that, in addition to the 152 million people who were unable to afford a basic energy-sufficient diet in 2019, up to 260 million people (mostly in low-income and lower-middle income countries) are vulnerable to not being able to afford it should a shock reduce real income by up to one-third. The more expensive healthy diet, which was already out of reach for 3 billion people before the pandemic, risks becoming inaccessible to an additional 968 million people (nearly all in middle-income countries). Our findings indicate that addressing income inequality is key when trying to ensure access to energy -sufficient diets, while raising mean income and reducing diet cost are increasingly relevant for ensuring access to healthy diets, especially following a shock. We thus provide insights on how countries facing shocks will need a varying mix of social protection, income stabilization, lowering the cost of nutritious foods, and investing in broader economic development.
Viral respiratory infections (VRIs) cause seasonal epidemics and pandemics, with their transmission influenced by climate conditions. Despite the risks posed by novel VRIs, the relationships between climate change and VRIs remain poorly understood. In this review, we synthesized existing literature to explore the connections between changes in meteorological conditions, extreme weather events, long-term climate warming, and seasonal outbreaks, epidemics, and pandemics of VRIs from an interdisciplinary perspective. We proposed a comprehensive conceptual framework highlighting the potential biological, socioeconomic, and ecological mechanisms underlying the impact of climate change on VRIs. Our findings suggested that climate change increases the risk of VRI emergence and transmission by affecting the biology of viruses, host susceptibility, human behavior, and environmental conditions of both society and ecosystems. Further interdisciplinary research is needed to address the dual challenge of climate change and pandemics.
BACKGROUND: Volunteering is a form of prosocial behaviour that has a been recognised as having positive benefits for medical students. However, there is a lack of research on what influences students to volunteer during and after weather-related disasters. Our study (1) explores factors related to medical students’ willingness and readiness to volunteer, and (2) describes mental health impacts of the flood events on students. METHODS: We conducted a mixed-methods study of medical students on rural clinical placements in a regional area of Australia, 2 to 6 weeks after two major flooding events in 2022. Data were collected through survey and focus groups. Summary statistics were generated from the survey data, and Fisher’s exact test was used to determine associations between student experience of the flood and self-rated well-being. Qualitative data were deductively analysed using Byrne and colleagues’ theory of prosocial behaviour during an emergency. RESULTS: The 36 students who participated in focus groups (including the 34 who completed the survey) (response rates 84% and 79%, respectively) demonstrated high levels of prosocial behaviours and were willing to volunteer. A sense of moral obligation was the primary reason for volunteering, whereas concerns for their physical and psychological safety, and missing key aspects of their training, were the strongest reasons for not continuing to volunteer. Students reported personal stress, anxiety and trauma during this period, with significant associations between self-rated impacts on their well-being and feelings of being terrified, helpless and hopeless during the flooding events and of still being distressed weeks later (p < .05). CONCLUSIONS: This study expands on prosocial behaviour theory by applying Byrne and colleagues elaborated model in the context of medical student volunteering during the 2022 major flooding events in Australia. Modifiable barriers to prosocial behaviour are identified along with proposed strategies to address these barriers.
Extreme weather and climate-related disaster events are associated with a range of adverse health outcomes. People are not equally vulnerable to the adversity, experiencing varied patterns of long-term health trajectories in recovery depending on their vulnerabilities, capacities, and resiliencies. This study aims to identify latent mental and physical health trajectories and their associations with person- and place-based pre-disaster predictors. Using an Australian, population-based, longitudinal dataset spanning 2009-19, group-based multi-trajectory modelling was applied to identify the distinct mental, social, emotional, and physical health trajectories of people who had experienced damage to their home following a climate-related disaster event. Multinomial logistic regression was used to assess a series of social vulnerability predictors (demographic, socioeconomic, housing, health, neighbourhood, and geographical) of health patterns. We identified three distinct health trajectories. Most individuals experienced small or minimal health impacts at the time of the disaster year followed by a fast recovery. However, one-fifth of the exposed population were severely affected during and post disaster. This cohort had the worst mental and physical health prior to the disaster and experienced the largest decreases in mental and physical health and the lowest recoveries. Pre-existing mental and physical conditions were the most substantial risk factors, increasing the probability of experiencing high impact and slow recovery by 61% for mental health and 51% for physical health. In addition, vulnerability in the form of housing affordability stress, lower household income, and lack of community attachment, participation and safety were also significant independent risk factors for ongoing post-disaster health problems. Critically, people’s mental and physical health recovery is dependent on pre-disaster vulnerabilities in health, resource access, and capacities. These findings could assist policymakers and health practitioners to more effectively target people most at risk and design prevention and response strategies to prevent the exacerbation of poor health and wellbeing.
Water supply infrastructures are essential to ensure the well-being of communities and to support social and economic growth and must be protected from damage in the context of future threats related to the environmental consequences of climate change. Those consequences include natural disasters, i.e., landslides, which can cause destruction of water infrastructure, causing distress for water users, cascading effects to other critical infrastructures and environmental impacts. Vulnerability analyses represent a key point in international risk management programs for protecting critical infrastructure, especially in the context of climate change. In this paper, a methodology is proposed to evaluate crucial water supply infrastructure vulnerabilities based on multiple indicators. A learning-from-experience approach is applied to establish specific indicators for vulnerability assessment. Eight different indicators are identified, divided into four categories, regarding land characteristics, service inefficiencies for users due to infrastructure failure, pipeline route characteristics, and physical characteristics of the aqueduct pipe. Along with the indicators, a graphical representation is proposed using the Kiviat chart, producing a vulnerability chart that represents a useful tool to identify the main vulnerability factors in existing water supply infrastructure, in the management of interventions and in the planning and design processes of new infrastructure and for comparing different design solutions.
Urban coastal megacities like Lagos face flooding challenges that may be exacerbated by climate change in the future. Through an urban political ecology lens, this study engages with the dynamics of politics and power that produce differentiated flood impacts and adaptation strategies. Data from telephone interviews of 21 Lagos residents across the mainland and island areas reveal people’s understanding of their flood vulnerabilities within the wider socio-political context of Lagos. In particular, state failure in the provisioning of services, amenities, and overall flood protection, shapes flood risk in Lagos. In addition, income and access to material resources inform people’s experiences and ability to cope with flooding. Furthermore, citizens apply localized strategies to prepare for and cope with flooding events, particularly through Community Development Associations (CDAs). These localized strategies have implications for transformative resilience. However, these forms of endogenous resilience cannot replace attention to wider urban governance challenges in cities like Lagos.
Climate change amplifies health risks, including through the health impacts of climate-related displacement. Yet diverse mobility responses in a warming world can also provide a pathway for climate change adaptation. This article examines the connections between climatic and environmental change, human mobility and health. It presents case studies across three countries: Fiji, Bangladesh, and Burkina Faso. All case studies used qualitative methods, including semi-structured interviews, storytelling, and group discussions. The Fiji case study focuses on relocation of a coastal village exposed to erosion, flooding and saltwater intrusion; it highlights self-reported health risks and opportunities following relocation. The Bangladesh case study includes seven sites that variously experience flooding, cyclones and riverbank erosion; while residents use migration and mobility as a coping strategy, there are associated health risks, particularly for those who feel trapped in new sites of residence. The case study from a village in Burkina Faso examines seasonal labour migration to the Ivory Coast and Mali during times of drought and reduced agricultural productivity, and discusses health risks for men who migrate and for women who remain in sending communities. These case studies illustrate that there is no consistent figure that represents a ‘climate migrant’, ‘climate refugee’, or ‘trapped’ person. Accordingly, we argue that where planetary health looks to highlight ‘waves’ of climate displacement, it may miss the ‘tide’ of slower onset climatic changes and smaller-scale and diverse forms of (im)mobility. However, even where climate-related mobility is broadly adaptive – e.g. providing opportunities for livelihood diversification, or migration away from environmental risks – there can be health risks and opportunities that are shaped by socio-political contexts, access to healthcare, altered food sources, and living and working conditions. Responsive solutions are required to protect and promote the health of mobile populations in a warming world.
Climate change has increased the variability of river inflows in the Murray-Darling Basin, threatening the viability of irrigated agriculture, food processing industries and ecological condition of wetlands. With increasing water scarcity, decision-makers and communities face heightened contestation over scarce water resources and trade-offs and adaptation have become increasingly necessary. We used a social-ecological systems approach to identify thresholds of change in the Goulburn-Broken Catchment, a major food-producing region, to reveal options for adaptation to climate change. We developed systems models whereby feedbacks are identified between sub-systems of cultural paradigms, policies, human well-being and environmental condition. Models were constructed using data from semi-structured interviews with managers and decision-makers, industry reports and the scientific literature. We found environmental thresholds are fixed, but whether they are exceeded is socially determined. Environmental condition can be maintained by relaxing constraints on volumes of water released into the highly regulated river system and easing rules on the distribution of water among users in the dairy and horticulture industries. Socio-economic thresholds were more flexible. Industries have adapted to water scarcity through irrigation efficiency measures, inter-industry relationships for water-sharing and feed substitutes in dairy production. However, industry interdependence indicates potential for maladaption, whereas investment in adaptation and diversification offers more sustainable options. Current policy and management disconnects between water for the environment and water for food production reveal opportunities for co-benefits between environmental and socio-economic domains. Realising these benefits requires a systemic, inclusive adaptation pathways approach to design and implement options for change.
Ticks and tick-borne diseases are on the rise due to socioecosystemic changes and climate modification and are affecting human and animal health. Few vaccines are available. Two recent articles from Matias et al. and Pine et al. used mRNA technology to explore tick and pathogen proteins as vaccine candidates.
The process of urbanization can alter the local climate to the point that it threatens citizens’ well-being by creating heat-related hazards. The construction of Blue-Green Infrastructure (BGI) can improve the regulation of surface energy exchange processes and address this problem. However, the time needed for a BGI to deliver a stable cooling performance, referred to here as the Cooling Establishment Time (CET), is poorly understood and quantified in the literature and dependent on environmental, design and maintenance factors. Here, we analyze the feasibility of using satellite data to derive the CET for different BGIs across the city of Zurich, Switzerland. Results showed that remote sensing can quantify the land surface temperature impact of BGIs and assist in estimating their CET. BGI with trees or climbing plants required a longer CET (seven to ten years) before any notable shift in surface temperatures were visible, while grasses or artificial irrigated systems led to shorter CETs (one to three years). These results allow us to better account for BGI cooling establishment when planning for areas that need urgent action under warming climates. This work supports evidence-based urban greenery planning and design towards cooling our increasingly warming cities in a timely manner.
OBJECTIVES: To perform geographic contour analysis of sea and land ambulance rescue times in an archipelago subject to super typhoons; to design point-of-care testing strategies for medical emergencies and weather disasters made more intense by global warming and rising oceans; and to assess needs for prehospital testing on spatial care paths that accelerate decision making, increase efficiency, improve outcomes, and enhance standards of care in island nations. METHODS: We performed needs assessments, inspected healthcare facilities, and collected ambulance rescue times from professionals in the Bantayan Archipelago, Philippines. We mapped sea/land ambulance rescue routes and time contours. To reveal gaps, we statistically compared the fastest and slowest patient rescue times from islands/islets and barangays to the District Hospital on Bantayan Island. We developed spatial care paths (the fastest routes to care) for acute myocardial infarction, community care, and infectious diseases. We generated a compendium of prehospital diagnostic testing and integrated outcomes evidence, diagnostic needs, and public health goals to recommend point-of-care strategies that build geographic health resilience. RESULTS: We observed limited access to COVID-19 assays, absence of blood gas/pH testing for critical care support, and spatial gaps in land and airborne rescues that worsened during inclement weather and sea swells. Mean paired differences (slowest-fastest) in ambulance rescue times to the District Hospital for both islands and barangays were significant (P < 0.0001). Spatial care path analysis showed where point-of-care cardiac troponin testing should be implemented for expedited care of acute myocardial infarction. Geospatial strengths comprised distributed primary care that can be facilitated by point-of-care testing, logical interisland transfers for which decision making and triage could be accelerated with onboard diagnostics, and healthcare networks amenable to medical advances in prehospital testing that accelerate treatment. CONCLUSIONS: Point-of-care testing should be positioned upstream close to homes and island populations that have prolonged rescue time contours. Geospatially optimized point-of-need diagnostics and distributed prehospital testing have high potential to improve outcomes. These improvements will potentially decrease disparities in mortality among archipelago versus urban dwellers, help improve island public health, and enhance resilience for increasingly adverse and frequent climate change weather disasters that impact vulnerable coastal areas. [350 words].
In the Pacific region, youth sexual and reproductive health and rights (SRHR) are strongly influenced by sociocultural and structural factors, which limit access to SRHR information and services for youth. As climate-related disasters intensify in the Pacific, existing challenges to youth SRHR may increase the risk of worse SRHR experiences and outcomes for youth before, during and after disasters. Community-based models of SRHR service provision models increase accessibility for youth in non-disaster times, but there is limited evidence of how community organisations address youth SRHR in disaster contexts. We conducted qualitative interviews with 16 participants from community organisations and networks in Fiji, Vanuatu, and Tonga following the 2020 Tropical Cyclone (TC) Harold. Guided by the Recovery Capitals Framework (natural, built, political, cultural, human, social, and financial capitals), we explored how community organisations addressed challenges to facilitate access to youth SRHR information and services. Social capital in the form of peer networks and virtual safe spaces was used to navigate challenges in political, financial, and natural capitals. Existing relationships and trusted collaborations were crucial to address cultural taboos related to youth SRHR. Previous experiences of disasters and knowledge of contexts enabled participants to provide sustainable solutions to identified SRHR needs. The work conducted by community organisations and networks pre-disaster made it easier to identify and address youth SRHR risks following disasters. Our research offers a unique perspective into how social capitals were used to mitigate challenges to youth SRHR across natural, human, financial, cultural, built, and political capitals. Findings offer important opportunities to invest in existing community strengths, for transformative action to advance the SRHR of Pacific youth.
Natural disasters have always been a substantial threat to human survival and development. Due to climate change, the number of weather-related disasters has more than doubled worldwide, further emphasizing the need for research on post-disaster environments. However, conducting comprehensive studies in actual disaster settings poses a number of challenges. This study proposes a novel approach that combines electroencephalography (EEG), virtual reality (VR), and laboratory environmental control (LEC) to investigate the joint effects of temperature and spatial openness on the psychological recovery of post-disaster populations. The integration of these techniques provided a controlled and immersive experimental environment for simulating post-disaster scenarios. This study conducted a controlled group experiment focusing on two variables in post-disaster environments: temperature range and spatial openness. Three temperature ranges were selected for the temperature condition: high (30 degrees C-36 degrees C), mid (22 degrees C-28 degrees C), and low temperature zones (12 degrees C-20 degrees C); the temperature environments were controlled by LEC. In terms of spatial openness, three levels were chosen: temporary emergency shelters (enclosed space), the semi-outdoor area of the emergency building (BBBC) designed by the project team (semi-open space), and open natural environments (open space). This research then established a temperature-spatial openness matrix. The study involved emotional recovery experiments for nine patterns of post-disaster environments, using physiological parameters such as EEG, skin conductance, and heart rate, as well as psychological parameters established through subjective questionnaires. The findings of this study will be beneficial for efficiently and reasonably optimizing human-centered spatial environment designs in post-disaster situations featuring limited resources.
Climatic factors influence malaria transmission via the effect on the Anopheles vector and Plasmodium parasite. Modelling and understanding the complex effects that climate has on malaria incidence can enable important early warning capabilities. Deep learning applications across fields are proving valuable, however the field of epidemiological forecasting is still in its infancy with a lack of applied deep learning studies for malaria in southern Africa which leverage quality datasets. Using a novel high resolution malaria incidence dataset containing 23 years of daily data from 1998 to 2021, a statistical model and XGBOOST machine learning model were compared to a deep learning Transformer model by assessing the accuracy of their numerical predictions. A novel loss function, used to account for the variable nature of the data yielded performance around + 20% compared to the standard MSE loss. When numerical predictions were converted to alert thresholds to mimic use in a real-world setting, the Transformer’s performance of 80% according to AUROC was 20-40% higher than the statistical and XGBOOST models and it had the highest overall accuracy of 98%. The Transformer performed consistently with increased accuracy as more climate variables were used, indicating further potential for this prediction framework to predict malaria incidence at a daily level using climate data for southern Africa.
BACKGROUND: Worsening environmental conditions may amplify people’s emotional responses to an environmental crisis (eco-anxiety). In Portugal, young people seem to be especially concerned about climate change. However, this phenomenon needs to be interpreted using accurate instruments. Thus, this study aimed to validate the Portuguese version of the Hogg Eco-Anxiety Scale (HEAS) in young adults and examine the associations among eco-anxiety, sociodemographic characteristics, and pro-environmental behaviours. METHODS: A survey was administered to 623 Portuguese university students aged between 18 and 25 years. The survey included our Portuguese translation of the HEAS (obtained through a back-translation and pretesting process), a sociodemographic assessment, and questions related to pro-environmental behaviours. Confirmatory factor analysis was conducted to assess the construct validity of the Portuguese version of the HEAS, and global fit indices were used to assess whether the original four-dimensional structure of the scale was reproduced. The reliability of the Portuguese version of the HEAS was evaluated by Cronbach’s alpha and the intraclass correlation coefficient. Measurement invariance examined sex differences in scale interpretation. Linear regressions were used to detect whether sociodemographic variables predict eco-anxiety and whether eco-anxiety predicts pro-environmental behaviours. RESULTS: The factorial structure of the original scale was replicated in the Portuguese version of the HEAS, showing good internal consistency, reliability over time and strict invariance between men and women. A higher paternal education level predicted greater eco-anxiety in children. Two dimensions of eco-anxiety-namely, rumination and anxiety about personal impacts on the environment-predicted higher engagement in pro-environmental behaviours. CONCLUSIONS: The translated scale is an appropriate tool to measure eco-anxiety in the Portuguese context and should be used to collect evidence to drive environmental and health policies. An individual’s education level should be considered a determinant of their emotional response to environmental conditions. Importantly, eco-anxiety can act as a protective emotional response to preserving the planet.
Heatwaves are increasingly recognized as a severe natural hazard that pose substantial threats to human wellbeing and sustainability with physical, mental, and economic impacts. Heatwave Early Warning Systems (HEWSs) have emerged as a promising solution to mitigate these adverse impacts. This study aims to valuate a Short Message Service (SMS)-based early warning system specifically targeting heat-vulnerable populations and their determinants in central Vietnam, an area prone to heat-related illnesses. By employing the contingent valuation method, individuals’ willingness to pay (WTP) for the warning system and the determinants of the WTP were assessed. The findings showed an average WTP of VND 283,110 (similar to USD 11) per person per year, according to the parametric estimate. The total WTP for the affected population in central Vietnam reached VND 857,283,678,000 or USD 37,273,203 per year, assuming that 50% of the heat-vulnerable population contributes to HEWSs financially. Significant determinants of WTP were identified, including bid levels, cost of heat-related illnesses, background diseases, and exposure to heat. Policymakers and health authorities can utilize these findings to develop effective adaptation strategies for preventing and mitigating heat-related illnesses, while also promoting sustainable development in central Vietnam.
AIM: In view of the long-standing recognition that gross domestic product (GDP) does not capture the unremunerated work largely conducted by women upon which societal well-being depends, to discuss the implications for GDP of maternal, newborn, child and adolescent health (MNCAH), and its influences on health, well-being and prosperity across the life course and across generations. METHODS: A wide-ranging discussion of the informal think-tank The Venice Forum was held over two days, with inputs from invited experts in person and online. RESULTS: There was consensus that a strong case could be made for inclusion of unremunerated work largely conducted by women as a positive contribution to GDP in view of its impact on future health and prosperity, and conversely exclusion from GDP of outputs from industries which harm health. CONCLUSION: Taken with the current challenges from COVID, climate change and conflict, there is a compelling need to redefine economic progress through equitable models and metrics that incorporate short-/medium-/long-term societal value of activities that improve MNCAH.
Vector-borne diseases are among the greatest causes of human suffering globally. Several studies have linked climate change and increasing temperature with rises in vector abundance, and in the incidence and geographical distribution of diseases. The microbiome of vectors can have profound effects on how efficiently a vector sustains pathogen development and transmission. Growing evidence indicates that the composition of vectors’ gut microbiome might change with shifts in temperature. Nonetheless, due to a lack of studies on vector microbiome turnover under a changing climate, the consequences for vector-borne disease incidence are still unknown. Here, we argue that climate change effects on vector competence are still poorly understood and the expected increase in vector-borne disease transmission might not follow a relationship as simple and straightforward as past research has suggested. Furthermore, we pose questions that are yet to be answered to enhance our current understanding of the effect of climate change on vector microbiomes, competence, and, ultimately, vector-borne diseases transmission.
Vector-borne diseases (VBDs) are caused by infectious pathogens that spread from an infected human or animal reservoir to an uninfected human via a vector (mosquito, tick, rodent, others) and remain an important cause of morbidity and mortality worldwide. Pregnant individuals and their fetuses are especially at risk, as certain pathogens, such as Zika virus, have specific implications in pregnancy and for neonatal health. Global climate change is affecting the incidence and geographic spread of many VBDs. Thus, it is important for clinicians in the fields of obstetrics/gynecology and newborn medicine, regardless of geographic location, to familiarize themselves with a basic understanding of these conditions and how climate change is altering their distributions. In this chapter, we review the incidence, clinical presentation, implications during pregnancy and intersection with climate change for four of the most important VBDs in pregnancy: malaria, Zika, dengue and Chagas disease. Although not exhaustive of all VBDs, a more extensive table is included for reference, and our discussion provides a helpful framework for understanding other vector-borne pathogens and perinatal health.
Rainfall is an important variable to be able to monitor and forecast across Africa, due to its impact on agriculture, food security, climate-related diseases and public health. Numerical weather models (NWMs) are an important component of this work, due to their complete spatial coverage, high resolution and ability to forecast into the future. In this study, the spatio-temporal skill of short-term forecasts of rainfall across Africa from 2016 through 2018 is evaluated. Specifically, the European Centre for Medium-Range Weather Forecasts (ECMWF) and the National Centers for Environmental Prediction-Global Forecast System (NCEP-GFS) forecast models are verified by Rainfall Estimates 2.0 (RFE2) and African Rainfall Climatology Version 2 (ARC2), which are fused products of satellite and in situ observations and are commonly used in analysis of African rainfall. Model rainfall forecasts show good consistency with the satellite rainfall observations in spatial distribution over Africa on the seasonal timescale. Evaluation metrics of daily and weekly forecasts show high spatial and seasonal variations over the African continent, including a strong link to the location of the inter-tropical convergence zone (ITCZ) and topographically enhanced precipitation. The rainfall forecasts at 1 week aggregation time are improved against daily forecasts.
OBJECTIVE: To identify the scope and nature of agricultural biodiversity actions within the climate adaptation plans of a sample of large world cities. METHODS: I evaluated data from the 2021 Cities Climate Adaptation Actions database curated by the Carbon Disclosure Project. Cities with a population over 1 million and reporting at least one adaptation action were included. I identified actions involving agriculture and biodiversity using a framework consisting of five agrobiodiversity categories: urban and peri-urban land use and water management, and urban food supply chains, food availability and food environments. I also identified reported health co-benefits and health sector involvement. FINDINGS: Of 141 cities reviewed, 61 cities reported actions on agricultural biodiversity, mostly supporting land use or water management. Key health outcomes addressed were illnesses linked to air pollution and excessive heat and vector-borne diseases, corresponding with cities’ major health concerns. Greenhouse gas mitigation was also addressed by many cities. Fewer cities reported actions in food categories or concern for noncommunicable diseases or poor nutrition. Nearly two thirds of cities (40/61) reported health co-benefits or health-sector involvement for at least one intervention. A higher proportion of the 43 cities in low- and middle-income countries reported agrobiodiversity actions and health co-benefits than the 18 cities in high-income countries. CONCLUSION: Cities are key partners in achieving sustainable global agriculture that promotes health and supports climate and biodiversity goals. Cities can enhance this role through climate adaptation plans with strong health engagement, a focus on nature-based solutions and greater emphasis on food and nutrition.
This article approaches how the urban climate has become a risk factor for the homeless population.Methods: The empirical investigation draws on Rio de Janeiro, Brazil, considering the impacts of cold, heat, and rainfall events on these individuals. Precipitation and surface temperature analyses were performed to identify the urban climate processes to which the homeless are exposed.Results: Results indicate that these individuals tend to prioritize commercial areas for settling down, overlooking their susceptibility to extreme weather events.Conclusion: Downtown Rio de Janeiro concentrates the highest temperature and precipitation thresholds, increasing homeless exposure to urban climate effects as the group is also concentrated in the area. Their exposure intensifies morbidities and comorbidities and will likely be aggravated by increased extreme events due to climate change.
The urban climate affects more than half the world’s population, and urban green spaces are considered a nature based solution to alleviate the urban heat island effect and adapt cities to climate change. Knowledge on urban green spaces cooling draws mostly on data from temperate climates, and similar research in humid tropical climates often focuses on the dry season. This study presents year-round temperature and humidity data for sixteen stationary sensors in Paramaribo, the capital of Suriname, and remotely sensed land surface temperatures for these locations. Analysis was done of diurnal and seasonal dynamics, the extent of urban green space cooling and the relation between locational characteristics and the micro-climate. Results show cooling up to 2.5 degrees C with distinct seasonal patterns, and that locations exhibiting stronger cooling during the day have smaller temperature ranges of about 4 degrees C at night compared to ranges of 5-7 degrees C at other locations. Locations with more trees and complex vegetation structure have temperatures that are 1-5 degrees C lower than other locations, but this cooling decreases when the ratio with impervious surfaces increases. Land surface temperature differences between more vegetated and built-up areas reach up to 2.5 degrees C. High correlations found among micro-climate indicators imply easier comparison between studies when using any of these indicators, even if not the same ones. The longer term data collected in our study enables investigating urban green space cooling taking into account seasonality typical to the humid-tropics and finds that this cooling can help cities in the Caribbean region adapt to temperature extremes, despite high humidity. Our study further provides an example for overcoming data scarcity and contributes to developing strategies for mitigating increasing heat-related health risks in the humid tropics.
With the increasing intensity, frequency and duration of heat waves, adaptation measures are becoming increasingly relevant and are moving up the agenda of decision-makers. In particular, urban areas require effective solutions due to the urban heat island effect and the increasing number of urban dwellers, including highly vulnerable social groups, such as people with low income or who lack access to public areas. However, despite there being strong agreement about the relevance of urban greening as an adaptation measure, there is still a limited understanding of where such measures should be implemented and for whom they are potentially accessible and beneficial. Through a systematic scoping review of the academic literature, this paper shows critical regional and methodological research gaps in mainstream adaptation research, including a bias towards Asian and European cities, and a lack of assessments of the socio-economic context and the accessibility of urban greening structures. Addressing the spatial issues of urban greening is of great importance for achieving the Sustainable Development Goals, given the ongoing urbanisation trends and projected increase in heat risk.
The urban heat island (UHI) effect exacerbates the adverse impact of heat on human health. However, while the UHI effect is further intensified during extreme heat events, prior studies have rarely mapped the UHI effect during extreme heat events to assess its direct temperature impact on mortality. This study examined the UHI effect during extreme heat and non-extreme heat scenarios and compared their temperature-mortality associations in Hong Kong from 2010 to 2019. Four urban heat island degree hour (UHIdh) scenarios were mapped onto Hong Kong’s tertiary planning units and classified into three levels (Low, Moderate, and High). We assessed the association between temperature and non-external mortality of populations living in each UHIdh level for the extreme heat/non-extreme heat scenarios during the 2010-2019 hot seasons. Our results showed substantial differences between the temperature-mortality associations in the three levels under the UHIdh extreme heat scenario (UHIdh_EH). While there was no evidence of increased mortality in Low UHIdh_EH areas, the mortality risk in Moderate and High UHIdh_EH areas were significantly increased during periods of hot temperature, with the High UHIdh_EH areas displaying almost double the risk (RR: 1.08, 95%CI: 1.03, 1.14 vs. RR: 1.05, 95 % CI: 1.01, 1.09). However, other non-extreme heat UHI scenarios did not demonstrate as prominent of a difference. When stratified by age, the heat effects were found in Moderate and High UHIdh_EH among the elderly aged 75 and above. Our study found a difference in the temperature-mortality associations based on UHI intensity and potential heat vulnerability of populations during extreme heat events. Preventive measures should be taken to mitigate heat especially in urban areas with high UHI intensity during extreme heat events, with particular attention and support for those prone to heat vulnerability, such as the elderly and poorer populations.
Prenatal stress alters fetal programming, potentially predisposing the ensuing offspring to long-term adverse health outcomes. To gain insight into environmental influences on fetal development, this QF2011 study evaluated the urinary metabolomes of 4-year-old children (n = 89) who were exposed to the 2011 Queensland flood in utero. Proton nuclear magnetic resonance spectroscopy was used to analyze urinary metabolic fingerprints based on maternal levels of objective hardship and subjective distress resulting from the natural disaster. In both males and females, differences were observed between high and low levels of maternal objective hardship and maternal subjective distress groups. Greater prenatal stress exposure was associated with alterations in metabolites associated with protein synthesis, energy metabolism, and carbohydrate metabolism. These alterations suggest profound changes in oxidative and antioxidative pathways that may indicate a higher risk for chronic non-communicable diseases such obesity, insulin resistance, and diabetes, as well as mental illnesses, including depression and schizophrenia. Thus, prenatal stress-associated metabolic biomarkers may provide early predictors of lifetime health trajectories, and potentially serve as prognostic markers for therapeutic strategies in mitigating adverse health outcomes.
OBJECTIVES: (i) To analyze trends and gaps in evidence of health effects on pollutants and extreme temperatures by evidence mapping; (ii) to conduct a cross-sectional survey on the use of the Grades of Recommendations Assessment Development and Evaluation (GRADE) in systematic reviews or meta-analyses (SR/MAs) of health effects on pollutants and extreme temperatures. STUDY DESIGN AND SETTING: PubMed, Embase, the Cochrane Library, Web of Science, and Cumulative Index to Nursing and Allied Health Literature (CINAHL) were searched until July 7, 2022. SR/MAs investigated health effects of pollutants and extreme temperatures were included. RESULTS: Out of 22,658 studies, 312 SR/MAs were included in evidence mapping, and the effects of pollutants on cancer and congenital malformations were new research hotspots. Among 16 SR/MAs involving 108 outcomes that were rated using GRADE, the certainty of evidence was mostly downgraded for inconsistency (50, 42.7%), imprecision (33, 28.2%), and risk of bias (24, 20.5%). In contrast, concentration-response gradient (26, 65.0%) was the main upgrade factor. CONCLUSION: GRADE is not widely used in SR/MAs of health effects on pollutants and extreme temperatures. The certainty of evidence is generally low, mainly because of the serious inconsistency or imprecision. Use of the GRADE in SR/MAs of health effects on pollutants and extreme temperatures should strengthen.
OBJECTIVE: In January 2022, Fiji was hit by multiple natural disasters, including a cyclone causing flooding, an underwater volcanic eruption, and a tsunami. This study aimed to investigate perceived needs among the disaster-affected people in Fiji and to evaluate the feasibility of the Humanitarian Emergency Settings Perceived Needs Scale (HESPER Web) during the early stage after multiple natural disasters. METHODS: A cross-sectional study using a self-selected, non-representative study sample was conducted. The HESPER Web was used to collect data. RESULTS: In all, 242 people participated. The number of perceived serious needs ranged between 2 and 14 (out of a possible 26), with a mean of 6 (SD = 3). The top 3 most reported needs were access to toilets (60%), care for people in the community who are on their own (55%), and distress (51%). Volunteers reported fewer needs than the general public. CONCLUSIONS: The top 3 needs reported were related to water and sanitation and psychosocial needs. Such needs should not be underestimated in the emergency phase after natural disasters and may require more attention from responding actors. The HESPER Web was considered a usable tool for needs assessment in a sudden onset disaster.
The urban heat island (UHI) phenomenon and climate change have become the major concern for city sustainability in wake of global warming and rapid growth in urbanization. This has resulted in increased intensity of heat stress and worsened outdoor thermal environmental conditions in urban microclimates. Water bodies are among the most effective means to alleviate the UHI and improve the thermal environment of urban microclimates. The thermal comfort conditions are observed at the pedestrian’s level in a horizontal direction and at different vertical levels by assessing the reduction in three variables: ambient air temperature, surface temperatures, and alteration of flow velocity. The water body model used in this simulation is first validated using the sub-configuration method by replicating a previous experimental study. Two different scenarios (one with a realistic setting and the other with a representative water body) were studied and the results show that, for isolated streets, the water bodies can effectively improve thermal comfort conditions by reducing ambient air temperature (i.e. a reduction of 0.9 ?) and surface temperature by 3.5 ?, thereby reducing energy consumption. Moreover, a significant increase in the wind velocity was also observed reaching its maximum value at peak times of thermal stress.
Social science studies view community wellbeing to be a cumulative construct of multiple dimensions which include social, economic, environmental, physical, political, health, education indicators and more. The study of community wellbeing is compounded by climate change as it increases the frequency of disasters affecting all dimensions of community wellbeing. It becomes crucial for communities to build community resilience and address the impact on community wellbeing in the context of Disaster Risk Reduction and sustainable development. This systematic literature aimed to understand how community wellbeing is affected by climate change. It analysed 23 papers from Scopus, Web of Science, ProQuest, and Google Scholar, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method, to address three research questions: (i) how do climate change scholars understand community wellbeing, (ii) how community wellbeing is affected by specific climate change factors/conditions and the nature of impact, and (iii) how the impact on community wellbeing as a result of climate change is being addressed. The study found that climate change scholars hold mixed and multiple views or understanding of community wellbeing and climate change led to mental stress decreasing community wellbeing. The solutions to improve community wellbeing in the context of climate change suggests that adaptation should be the main policy instrument supplemented by mitigation strategies and recommends building a vibrant research culture in wellbeing and climate studies, among others. This review provides insights into the complex relationship between community wellbeing and climate change and identifies areas for future research and policy development.
Temperature records are being broken across the world, leading to incalculable suffering. The poorest and most disadvantaged people, who contributed the least to global warming, are the ones bearing the most severe consequences of extreme heat because of their limited adaptive capacity. Understanding the needs of the most disadvantaged is imperative to develop fair and adequate strategies to adapt to extreme heat and keep cool. This Perspective discusses how to understand systemic cooling poverty with the aim of informing policy and practice to support vulnerable people. Heatwaves are more frequent and lead to considerable suffering, especially among the poorest and most disadvantaged people. This Perspective discusses the concept of systemic cooling poverty with the aim of informing policy and practice to support vulnerable groups.
Climate change and air pollution are two interconnected global challenges that have profound impacts on human health. In Africa, a continent known for its rich biodiversity and diverse ecosystems, the adverse effects of climate change and air pollution are particularly concerning. This review study examines the implications of air pollution and climate change for human health and well-being in Africa. It explores the intersection of these two factors and their impact on various health outcomes, including cardiovascular disease, respiratory disorders, mental health, and vulnerable populations such as children and the elderly. The study highlights the disproportionate effects of air pollution on vulnerable groups and emphasizes the need for targeted interventions and policies to protect their health. Furthermore, it discusses the role of climate change in exacerbating air pollution and the potential long-term consequences for public health in Africa. The review also addresses the importance of considering temperature and precipitation changes as modifiers of the health effects of air pollution. By synthesizing existing research, this study aims to shed light on complex relationships and highlight the key findings, knowledge gaps, and potential solutions for mitigating the impacts of climate change and air pollution on human health in the region. The insights gained from this review can inform evidence-based policies and interventions to mitigate the adverse effects on human health and promote sustainable development in Africa.
The current agriculture system has become complex and fragile in recent years. With an increase in population, the demand for food is increasing, but the resources such as arable land and water are limited, and clearing forest land for cultivation and over-extraction of groundwater are changing land-use patterns and depleting groundwater resources, which again are responsible for multiple risks in agriculture and food system. The limited land and water resources with increased global population and its demand for food have mainly stressed small farmers. The rising environment, social and economic risks such as crop disease outbreaks, climate risk causing natural hazards such as floods, famine, drought, exposure to chemicals, technology risks such as genetically modified crops, and biofuels, food demand disparities, demographic and dietary changes, financial risk, conflict and political unrest, biological diversity loss, psychological factors in long-term decision making, and emerging complexity within agriculture system network are the some of the examples of multiple risks faced by small farmers in developing nations. Understanding the link among multiple domains such as environment, soil and hydrology, science, technology, finance, psychology, nutrition, and relation and conflicts is vital to study the multiple risks associated with the agriculture system as these domains overlap. Thus, sustainable long-term solutions cannot be confined to a single discipline approach. Therefore, there is a need to understand the intertwined nature of multiple risks affecting farmers. First, the author emphasizes on understanding the interconnected nature of rising multiple risks in modern industrial agriculture and food system in terms of social, environmental, and economic dimensions, this understanding is crucial for sustainable agriculture policy framing. Second, providing policy implications that will help policy makers to develop legalize mechanism to reduce rising risk of hazards.
As demand for electricity increases on an already strained electrical supply due to urbanization, population growth, and climate change, the likelihood of power outages will also increase. While researchers understand that the number of electrical grid disturbances is increasing, we do not adequately understand how increased power outages will affect a society that has become increasingly dependent on a reliable electric supply. This systematic review aims to understand how power outages have affected society, primarily through health impacts, and identify populations most vulnerable to power outages based on the conclusions from prior studies. Based on search parameters, 762 articles were initially identified, of which only 50 discussed the social impacts of power outages in North America. According to this literature, racial and ethnic minorities, especially Blacks or African Americans, those of lower socioeconomic status, children, older adults, and those living in rural areas experienced more significant impacts from previous power outages. Additionally, criminal activity increased during prolonged power outages with both pro-social and anti-social behaviors observed. Providing financial assistance or resources to replace spoiled goods can reduce crime. Future research on this topic must consider the financial effects of power outages, how power outage impacts seasonally vary, and the different durations of power outage impacts.
Extreme heat causes more deaths than tornadoes and floods combined in the United States. While vulnerable populations are at higher risk of heat-health impacts, anyone can be at risk from extreme heat without appropriate actions. Therefore, heat risk communication efforts, especially those on a wide scale, should engage not only the vulnerable subgroups but also the entire population with the goal of encouraging everyone to take appropriate protective actions during extreme heat events. As one step to achieve this goal, this study examined how to effectively depict people’s susceptibility in heat risk messages. Using a survey experiment (N = 1386), this study compared the effectiveness of four statements that varied how they depicted which types of people were susceptible to heat-health impacts. Relative to traditional messaging that lists specific vulnerable subgroups, a statement that “anyone can be at risk” and a statement without susceptibility information were respectively more effective in making messages personally relevant. Mentioning the “anyone can be at risk” statement and the “certain subgroups are at more risk” statement together reduced belief in the hazard happening compared to mentioning the latter statement individually. Implications for risk communication in broader domains are discussed.
The modern unambiguous climate change reveals in a rapid increase of air temperature, which is more distinctly expressed in the Arctic than in any other part of the world, affecting people health and well-being. The main objective of the current research is to explore the inter- and intra-annual changes in thermal stress for people in the Arctic, specifically for two parts of Beringia: Alaska, USA, and Chukotka, Russia, using climatology of the universal thermal climate index (UTCI). Data for 39 locations are taken from the ERA5-HEAT reanalysis for the period 1979-2020. Climatologically, the study area is divided into four subregions in Alaska: North, Interior, West and South, and two in Chukotka: Interior and Coast. The extreme coldest UTCI categories (1 and 2) are most common in coastal locations of northern Alaska and Chukotka, where strong winds exacerbate the low temperatures during winter. The results show that the frequency of category 1 (UTCI<-40°C) varies spatially from a quarter of all hours annually in Alaska North to almost zero in Alaska South. On the other hand, the warmest categories are rarely reached almost everywhere in Alaska and Chukotka, and even categories 7 and 8 (UTCI between +26 and +38°C) are found occasionally only at interior locations. Category 6 with no thermal stress (UTCI between +9 and+26°C) has frequencies up to 3% and 25% in Alaska North and Interior, respectively. The extremely cold thermal stress frequencies have substantially decreased over the 1979-2020 period, especially in Alaska North and Chukotka Coast. At the same time, the number of hours with UTCI in the comfortable category of thermal perception has increased depending on subregion, from 25 to 203 h/year. Overall, a decrease in the UTCI categories of extremely cold stress is coupled with an increase in the comfortable range in both Alaska and Chukotka. The salient conclusion is that, from the point of view of comfort and safety, global warming has a positive impact on the climatology of thermal stress in the Arctic, providing advantages for the development of tourism and recreation.
Environmental stressors including high temperature and air pollution cause health problems. However, understanding how the combined exposure to heat and air pollution affects both physical and mental health remains insufficient due to the complexity of such effects mingling with human society, urban and natural environments. Our study roots in the Social Ecological Theory and employs a tri-environmental conceptual framework (i.e., across social, built and natural environment) to examine how the combined exposure to heat and air pollution affect self-reported physical and mental health via, for the first time, the fine-grained nationwide investigation in Australia and highlight how such effects vary across inter- and intra-urban areas. We conducted an ecological study to explore the importance of heat and air quality to physical and mental health by considering 48 tri-environmental confounders through the global and local random forest regression models, as advanced machine learning methods with the advantage of revealing the spatial heterogeneity of variables. Our key findings are threefold. First, the social and built environmental factors are important to physical and mental health in both urban and rural areas, and even more important than exposure to heat and air pollution. Second, the relationship between temperature and air quality and health follows a V-shape, reflecting people’s different adaptation and tolerance to temperature and air quality. Third, the important roles that heat and air pollution play in physical and mental health are most obvious in the inner-city and near inner-city areas of the major capital cities, as well as in the industrial zones in peri-urban regions and in Darwin city with a low-latitude. We draw several policy implications to minimise the inter- and intra-urban differences in healthcare access and service distribution to populations with different sensitivity to heat and air quality across urban and rural areas. Our conceptual framework can also be applied to examine the relationship between other environmental problems and health outcomes in the era of a warming climate.
Climate change-related drought risks are intensifying in many urban areas, making stakes particularly high in contexts of severe vulnerability. Yet, how social power, differential agency and economic visions will shape societal responses to droughts remains poorly understood. Here, we build a social-environmental scenario of the possible impacts of an unprecedented drought in Maputo, which epitomizes a Southern African city with highly uneven development and differential vulnerability across urban areas. To build the scenario, we draw on theoretical insights from critical social sciences and take Cape Town (2015-2017) as a case-in-point of a locally unprecedented drought in Southern Africa. We show that future droughts in Southern Africa will probably polarize urban inequalities, generate localized public health crises and regress progress in water access. Climate policies must address these inequalities and develop equitable water distribution and conservation measures to ensure sustainable and inclusive adaptation to future droughts.
An extraordinary and unprecedented heatwave swept across western North America (i.e., the Pacific Northwest) in late June of 2021, resulting in hundreds of deaths, a massive die-off of sea creatures off the coast, and horrific wildfires. Here, we use observational data to find the atmospheric circulation variabilities of the North Pacific and Arctic-Pacific-Canada patterns that co-occurred with the development and mature phases of the heatwave, as well as the North America pattern, which coincided with the decaying and eastward movement of the heatwave. Climate models from the Coupled Model Intercomparison Project (Phase 6) are not designed to simulate a particular heatwave event like this one. Still, models show that greenhouse gases are the main reason for the long-term increase of average daily maximum temperature in western North America in the past and future.
The unprecedented 2021 June-July heatwave in Western North America resulted in record-breaking human-perceived heat stress across the region, measured by the humidex considering both air temperature and humidity. During extended summer (June-September), both 95th percentiles of daily maximum humidex (HX95) and air temperature (TX95) have increased over the 1940-2022 period, with even faster intensification in the last two decades (2001-2022). HX95 has increased more than TX95 because of the positive monotonic nonlinear relationship between humidex and air temperature at a given level of relative humidity. The Canadian Earth System Model version 5 (CanESM5) projects a larger increase in human-perceived heat stress than air temperature across the region under low to high emission scenarios (HX95 increases 4.40-7.04 degrees C and TX95 increases 2.92-4.65 degrees C between 1981-2010 and 2041-2060). Moreover, CanESM5 projects significant increases in the frequency of HX and TX conditions that exceed the levels reached in 2021 under intermediate and high emission scenarios. Using humidex, a measure that combines air temperature and humidity, we assessed the human-perceived heat stress during the record-breaking 2021 summer heatwave in Western North America. The 2021 heatwave broke records for both air temperature and humidex, and these two measures have been increasing in the past decades. The heatwave was drier than usual due to high pressure in the atmosphere, clear skies, and more heat warming up the air instead of evaporating water. Humidex will rise more than air temperature under various emission scenarios, making people feel even hotter in the region. The climate model used suggests that humidex values and temperatures that exceed the levels observed in 2021 will happen much more often and be much more intense across the region in the future, with estimates of three to ten times for humidex and two to seven times for air temperature more frequent under intermediate to high emission scenarios by the end of the century. However, the likelihood of extreme humidex in dry conditions, as observed in 2021, will remain low, like historical levels. Unprecedented 2021 heatwave in Western North America resulted in record-breaking human-perceived heat stress, considering both air temperature and humidityExtreme human-perceived heat stress increased at a faster rate than extreme air temperature, both showing rapid increases in recent decadesFor events exceeding 2021 level, a larger future increase in extreme human-perceived heat stress is projected compared to air temperature
Climate change has a particularly detrimental effect on the cardiovascular system, which is highly vulnerable to harmful impacts. The accumulation of particulate matter (PM) and greenhouse gasses in the environment negatively impacts the cardiovascular system through several mechanisms. The burden of climate change-related diseases falls disproportionately on vulnerable populations, including the elderly, the poor, and those with pre-existing health conditions. A key component of addressing the complex interplay between climate change and cardiovascular diseases is acknowledging health disparities among vulnerable populations resulting from climate change, familiarizing themselves with strategies for adapting to changing conditions, educating patients about climate-related cardiovascular risks, and advocating for policies that promote cleaner environments and sustainable practices.
This study applies the Livelihood Vulnerability Index within the IPCC vulnerability framework (LVI-IPCC) to assess the vulnerability of households to climate change in Hue City, Vietnam. The research then seeks to identify critical factors contributing to household vulnerability to climate change via a regression model, while concurrently conducting an intersectional analysis that considers gender, geographical location, and economic status. Using a cross-sectional data collection methodology, we surveyed 1080 households across 36 communes/ wards in Hue City from October to December 2022 employing a semi-structured questionnaire. Our findings indicate that households situated on the periphery, particularly those recently incorporated, are at a higher risk of vulnerability to climate change and natural disasters. Poor households in peri-urban areas are the most susceptible to the impacts of environmental stressors. Furthermore, women are less adaptable than men, partly due to their limited decision-making power. Factors such as household head characteristics, degree of climate risk, food security, knowledge and skills, and social networks are identified as critical in contributing to vulnerability. Reconizing these, our study emphasizes the urgent need for integrated approaches to address multiple dimensions of vulnerability and climate change adaptation in Hue City and beyond. This includes investing in periurban areas, addressing poverty and inequality, promoting gender-sensitive approaches, and addressing the critical factors simultaneously to enhance the resilience of cities to climate change and natural disasters.
This multi-country study offers crucial evidence on the associations between tropical cyclone exposure and heightened daily respiratory mortality in East Asia. Significant impacts were observed for pneumonia and COPD deaths, rather than asthma. https://bit.ly/42rCIqM
Forest fires are extreme natural/artificial events releasing polycyclic aromatic hydrocarbons (PAHs), which are carcinogenic. Most of the released PAHs are trapped in burnt ash, a part of which is transported and settle on different mediums like soil and water. After strong rainfall events, PAHs enter into surface water bodies through surface runoff, thereby deteriorating water quality. Changes in PAHs levels during the post-fire duration and human health risks due to PAHs released from forest fires need attention. This study aim to explain the trends and patterns of PAHs and health risks due to exposure to soil and water contaminated with PAHs. Forest fires release a higher percentage of low molecular weight PAHs (LMW PAHs) than high molecular weight PAHs (HMW PAHs). Ash and burnt soils contain a higher percentage of LMW PAHs since biomass burning releases huge amounts of LMW PAHs. Whereas, sediments contain a higher percentage of HMW PAHs since most of the LMW PAHs are already degraded. HMW PAHs were causing higher risk to humans (both cancer and non-cancer) due to their higher oxidation potential. Exposure to water contaminated by PAHs resulted in higher health risks for both BaP equivalent and a mixture of PAHs. Exposure to sediment produced the highest health risk due to a higher percentage of HMW PAHs, followed by surface water, burnt soil, ash, and unburnt soil. Cancer and non-cancer risk due to dermal exposure was more elevated than oral exposure. The mixture of PAHs in sediment produced a higher average dermal risk for children (2.21E+00 for cancer and 7.69E+03 for non-cancer risk) and oral cancer risk for adults (7.11E-03). However, exposure to BaP equivalent in sediment produced higher oral non-cancer risk (7.01E+02) for children. Thus, effective PAHs monitoring is required in both soil and surface water mediums for ensuring proper treatment in water supply systems.
Many nurse educators enter the faculty role with little academic teaching experience. Although there is evidence that providing clear expectations and targeted training on teaching and learning is beneficial for new faculty members, inconsistencies and content gaps in orientation programs and prerequisite knowledge for nurse educators still pose challenges to faculty success. This article reviews the current state of preparation for nurse educators, describes new knowledge and skills nurse educators need to prepare nursing students for practice, and suggests approaches to continuous growth and professional development. In addition to knowledge of foundational teaching concepts, nurse educators need advanced knowledge of technology, global health, and climate change. Today’s learners are diverse and require equity-focused teaching and pedagogy responsive to individual learner characteristics and backgrounds. Ensuring nurse educators are prepared to deliver a high-quality education program requires up-to-date professional development, a comprehensive orientation, and ongoing faculty support.
Climate-sensitive infectious diseases are an issue of growing concern due to global warming and the related increase in the incidence of extreme weather and climate events. Diarrhea, which is strongly associated with climatic factors, remains among the leading causes of child death globally, disproportionately affecting populations in low- and middle-income countries (LMICs). We use survey data for 51 LMICs between 2000 and 2019 in combination with gridded climate data to estimate the association between precipitation shocks and reported symptoms of diarrheal illness in young children. We account for differences in exposure risk by climate type and explore the modifying role of various social factors. We find that droughts are positively associated with diarrhea in the tropical savanna regions, particularly during the dry season and dry-to-wet and wet-to-dry transition seasons. In the humid subtropical regions, we find that heavy precipitation events are associated with increased risk of diarrhea during the dry season and the transition from dry-to-wet season. Our analysis of effect modifiers highlights certain social vulnerabilities that exacerbate these associations in the two climate zones and present opportunities for public health intervention. For example, we show that stool disposal practices, child feeding practices, and immunizing against the rotavirus modify the association between drought and diarrhea in the tropical savanna regions. In the humid subtropical regions, household’s source of water and water disinfection practices modify the association between heavy precipitation and diarrhea. The evidence of effect modification varies depending on the type and duration of the precipitation shock.
The triangular relationship between climate change-related events, patterns of human migration and their implications for health is an important yet understudied issue. To improve understanding of this complex relationship, a comprehensive, interdisciplinary conceptual model will be useful. This paper investigates relationships between these factors and considers their impacts for affected populations globally. METHODS: A desk review of key literature was undertaken. An open-ended questionnaire consisting of 11 items was designed focusing on three themes: predicting population migration by understanding key variables, health implications, and suggestions on policy and research. After using purposive sampling we selected nine experts, reflecting diverse regional and professional backgrounds directly related to our research focus area. All responses were thematically analysed and key themes from the survey were synthesised to construct the conceptual model focusing on describing the relationship between global climate change, migration and health implications and a second model focusing on actionable suggestions for organisations working in the field, academia and policymakers. RESULTS: Key themes which constitute our conceptual model included: a description of migrant populations perceived to be at risk; health characteristics associated with different migratory patterns; health implications for both migrants and host populations; the responsibilities of global and local governance actors; and social and structural determinants of health. Less prominent themes were aspects related to slow-onset migratory patterns, voluntary stay, and voluntary migration. Actionable suggestions include an interdisciplinary and innovative approach to study the phenomenon for academicians, preparedness and globalized training and awareness for field organisations and migrant inclusive and climate sensitive approach for policymakers. CONCLUSION: Contrary to common narratives, participants framed the impacts of climate change-related events on migration patterns and their health implications as non-linear and indirect, comprising many interrelated individual, social, cultural, demographic, geographical, structural, and political determinants. An understanding of these interactions in various contexts is essential for risk reduction and preventative measures. The way forward broadly includes inclusive and equity-based health services, improved and faster administrative systems, less restrictive (im)migration policies, globally trained staff, efficient and accessible research, and improved emergency response capabilities. The focus should be to increase preventative and adaptation measures in the face of any environmental changes and respond efficiently to different phases of migration to aim for better “health for all and promote universal well-being” (WHO) (World Health Organization 1999).
The atmosphere is a major route for microbial intercontinental dispersal, including harmful microorganisms, antibiotic resistance genes, and allergens, with strong implications in ecosystem functioning and global health. Long-distance dispersal is facilitated by air movement at higher altitudes in the free troposphere and is affected by anthropogenic forcing, climate change, and by the general atmospheric circulation, mainly in the intertropical convergence zone. The survival of microorganisms during atmospheric transport and their remote invasive potential are fundamental questions, but data are scarce. Extreme atmospheric conditions represent a challenge to survival that requires specific adaptive strategies, and recovery of air samples from the high altitudes relevant to study harmful microorganisms can be challenging. In this paper, we highlight the scope of the problem, identify challenges and knowledge gaps, and offer a roadmap for improved understanding of intercontinental microbial dispersal and their outcomes. Greater understanding of long-distance dispersal requires research focus on local factors that affect emissions, coupled with conditions influencing transport and survival at high altitudes, and eventual deposition at sink locations.
Drought and limited sufficient water resources will be the main challenges for humankind during the coming years. The lack of water resources for washing, bathing, and drinking increases the use of contaminated water and the risk of waterborne diseases. A considerable number of waterborne outbreaks are due to protozoan parasites that may remain active/alive in harsh environmental conditions. Therefore, a regular monitoring program of water resources using sensitive techniques is needed to decrease the risk of waterborne outbreaks. Wellorganized point-of-care (POC) systems with enough sensitivity and specificity is the holy grail of research for monitoring platforms. In this review, we comprehensively gathered and discussed rapid, selective, and easy-to-use biosensor and nanobiosensor technologies, developed for the early detection of common waterborne protozoa.
The health sector is one of the keys to sustainable development. Although it is directly related to only one Sustainable Development Goal (Goal 3, “Ensuring a healthy life and promoting well-being at all ages”), the sector itself, which aims to protect health, is paradoxically at the same time the main emitter of environmental pollutants that have a negative impact on health itself. Therefore, sustainability has become a key priority for health sector organizations, and leadership in this area is essential at all levels. Scientific research plays a particular role here, helping to more clearly define the links between environmental sustainability and the health effects of a polluted environment and climate change as well as indicating the direction of actions needed and disseminating good practices that can help accelerate the adoption of efforts towards climate neutrality and sustainable development of health sector organizations. The aim of this article is to present the current state of the art and future research scenarios in the field of green and sustainable healthcare through a literature review by using the Preferred Reporting Items for Systematic Reviews Meta-Analyses (PRISMA) method to perform a bibliometric analysis of papers published in 2012-2022. The Web of Science Core Collection (WoSCC) database is used for this purpose. A total of 144 papers are included for analysis, categorized based on eight fields: author(s), title, year of publication, country, journal, scientific category, and number of citations. Based on the results, themes for future research on green leadership in the healthcare sector are identified and recommended.
Exposure to extreme temperatures in workplaces implies serious physical hazards to workers. In addition, a poorly acclimatized worker can have reduced performance and alertness. It may therefore be more vulnerable to the risk of accidents and injuries. Due to the incompatibility of standards and regulations with some work en-vironments and a lack of thermal exchange in many personal protective equipment, heat stress remains among the most common physical risks in many industrial sectors. Furthermore, conventional methods of measuring physiological parameters in order to calculate personal thermophysiological constraints are not practical to use during work tasks. However, the emergence of wearable technologies can contribute to real-time measurement of body temperature and the biometric signals needed to assess thermophysiological constraints while actively working. Thus, the present study was carried out in order to scrutinize the current knowledge of these types of technologies by analyzing the available systems and the advances made in previous studies, as well as to discuss the efforts required to develop devices for the prevention of the occurrence of heat stress in real time.
Climate change is a defining challenge for today’s society and its consequences pose a great threat to humanity. Cities are major contributors to climate change, accounting for over 70% of global greenhouse gas emissions. With urbanization occurring at a rapid rate worldwide, cities will play a key role in mitigating emissions and addressing climate change. Greenhouse gas emissions are strongly interlinked with air quality as they share emission sources. Consequently, there is a great opportunity to develop policies which maximize the co-benefits of emissions reductions on air quality and health. As such, a narrative meta-review is conducted to highlight state-of-the-art monitoring and modelling tools which can inform and monitor progress towards greenhouse gas emission and air pollution reduction targets. Urban greenspace will play an important role in the transition to net-zero as it promotes sustainable and active transport modes. Therefore, we explore advancements in urban greenspace quantification methods which can aid strategic developments. There is great potential to harness technological advancements to better understand the impact of greenhouse gas reduction strategies on air quality and subsequently inform the optimal design of these strategies going forward. An integrated approach to greenhouse gas emission and air pollution reduction will create sustainable, net-zero and healthy future cities.
Two important aspects considered by the Sustainable Development Goals are global warming and malnutrition. On the one hand, global warming has had severe negative impacts on the life quality and the efficiency of several productive sectors. On the other hand, malnutrition is a complex issue worldwide, reaching around 60% of the population. In this setting, we conducted a literature review related to diet optimization problems, identifying five research challenges and two main mono-objective and multi-objective problems, providing insights about future work. Consequently, we address the mono-objective problem, introducing the sustainable diets design problem for the massive food services to explore the transformation of the massive food services towards more sustainable consumption patterns. Specifically, we formulate a quadratic mixed-integer programming (QMIP) model to minimize the CO2eq from the system subject to nutritional constraints, operational requirements, and cultural acceptability aspects by considering a bounded budget. Finally, we illustrate the usefulness of our proposal by considering one of the more important public universities in Latin America as a case study. The obtained results allow us to reduce 30.45% the CO2eq and 25.88% of the associated costs. This proposal is easily adaptable to other massive food services institutions such as geriatric services, hospitals, or schools.
PURPOSE OF REVIEW: Immunotherapy has had a significant impact on the treatment of an increasing number of cancers as well as in inflammatory, rheumatological and gastroenterological conditions.Recreational nitrous oxide use is now a global epidemic. Linezolid is now recommended for the treatment of drug-resistant tuberculosis (TB); neuropathy is a significant cause of morbidity.Global warming will result in increasing toxin exposure, such as ciguatera, in previously unaffected areas. RECENT FINDINGS: With increasing experience, the pathophysiology underlying the neuropathic complications of these drugs has become clear with guidelines now available, for the complications of immune check-point inhibitors and nitrous oxide toxicity. The optimum dose and duration of treatment for resistant TB with regimens, including linezolid, has been ascertained. SUMMARY: Although neuropathic complications with immunotherapy are relatively rare, it is essential that they are recognized and treated early. Nitrous oxide toxicity should be in the differential diagnosis for all patients, particularly those of younger age, presenting with a neuropathy or myleo-neuropathy. Ciguatera toxicity is under recognized and its geographical spread will increase due to global warming. Further research is necessary on the mechanisms and treatment of both acute and chronic effects, which at present, are only symptomatic.
Carbon capture and utilisation (CCU) provides an appealing framework to turn carbon emissions into valuable fuels and chemicals. However, given the vast energy required to activate the CO(2) molecule, CCU may have implications on sustainable development that are still poorly understood due to the narrow scope of current carbon footprint-oriented assessments lacking absolute sustainability thresholds. To bridge this gap, we developed a power-chemicals nexus model to look into the future and understand how we could produce 22 net-zero bulk chemicals of crucial importance in a sustainable manner by integrating fossil, CCU routes and power technologies, often assessed separately. We evaluated the environmental performance of these technologies in terms of their contribution to 5 Sustainable Development Goals (SDGs), using 16 life cycle assessment metrics and 9 planetary boundaries (PB) to quantify and interpret the impact values. We found that fossil chemicals could hamper the attainment of SDG 3 on good health and well-being and SDG 13 on climate change. CCU could help meet SDG 13 but would damage other SDGs due to burden-shifting to human health, water scarcity, and minerals and metals depletion impacts. The collateral damage could be mitigated by judiciously combining fossil and CCU routes with carbon-negative power sources guided by optimisation models incorporating SDGs-based performance criteria explicitly. Our work highlights the importance of embracing the SDGs in technology development to sensibly support the low-carbon energy and chemicals transition.
Purpose The present exploratory study aimed (1) to explore the traditional dietary habits of local communities, (2) to analyze the shift in traditional eating practices and (3) to examine the changes observed in socio-cultural beliefs system due to climate change. Design/methodology/approach A cross-sectional study was conducted with purposive sampling of 210 households in the select ten villages of the western Himalayan region. Open-ended interview questionnaires and a close-ended survey on a 5-point Likert scale are used. Statistical Package for the Social Sciences (SPSS) version 24 is used for the exploratory factor analysis. Further, Atlas-ti version 8 is also employed for thematic analysis. Findings The exploratory and thematic analysis illustrated that socio-ecological beliefs are crucial in food choices, but cultural beliefs are also changing due to climate change. Thus, the shift in socio-cultural beliefs can significantly affect the nutritional security of the indigenous societies during climate-induced emergencies in the mountain regions. Practical implications Therefore, the findings of the study are significant for a comprehensive understanding of the traditional dietary practice of the indigenous community for an evidence-based inclusive food security and climate change adaptation policy. Originality/value The inclusion of cultural practices is evident for ensuring the nutritional security. But, the magnitude of the climate-induced impacts on customary societies is not yet fully understood. Thus, the current study was conducted.
INTRODUCTION: Several studies have examined the impact of parents’ posttraumatic stress disorder (PTSD) on their children’s mental health, but few have evaluated the role of parents’ specific PTSD trajectories. The aim of this study was to assess the mechanisms underlying distinct trajectories of parental PTSD that affect children’s PTSD and depression through the feeling of safety. METHODS: The final sample comprised 242 dyads of parents and their children who experienced Super Typhoon Lekima in 2019. All participants were surveyed at three time points after the typhoon: 3 months (T1), 15 months (T2), and 27 months (T3). Parental PTSD symptoms at three time points and children’s PTSD, depression, and feeling of safety at T3 were analyzed. RESULTS: Four parental PTSD trajectories were identified: recovery, resilience, delayed, and coping. Compared with the resilient group, children of parents with delayed PTSD trajectories reported higher levels of depression at T3, while children of parents in the coping group were more likely to experience severe PTSD at T3. Children of parents in the recovery group, with a reduced feeling of safety, exhibited more severe depression and PTSD at T3, whereas children of parents in the delayed group were at an increased risk of PTSD at T3. CONCLUSIONS: These findings highlight the heterogeneity of parental PTSD trajectories following natural disasters and their distinct effects on children’s PTSD and depression. Furthermore, feeling of safety emerges as a crucial mechanism in this process.
Floods are natural hazards which do not respect psychological, institutional, regional and national borders based on territorial sovereignty and all the riparian countries get affected by floods. In the rainy season, rivers of Nepal-originating from Himalayas, Chure and other seasonal ones-flood many areas of Nepal and India as these rivers flow through Nepal, India and Bangladesh. The riparian transboundary communities are always at risk and bear huge flood threats and impacts-losses of lives, livestock, property, crops and inundation-during the rainy seasons every year. The frequency and intensity of the floods in the South Asian region has been alarmingly increasing and the transboundary floods have been affecting lives and the livelihoods of millions of the riparian people. In this backdrop, employing qualitative approach, we explored transboundary state-centric cooperation and frameworks; community to community cooperation and framework and the status of early warning system for flood risk management in NarayaniGandak and Mahakali basins. We investigated four interlinked research questions: 1) Is there any state-centric cooperation for transboundary flood management in the two basins; 2) Is there any community level engagement for transboundary flood management in the two basins; 3) If state-centric and/or transboundary community level transboundary flood management frameworks exist, are there any best practices available for up scaling and scaling out between these basins? 4) What is the current status of early warning system in the basins? We found that transboundary floods, inundation and resilience are issues of serious concerns for both countries yet there is little state-to-state cooperation. The community-to-community cooperation and the status of early warning systems are gradually emerging and the exchange of data for timely communication of floods through flood early warning system is still in nascent stage. We conclude that EWS, coordination of transboundary communities and state to state cooperation are important pillars for making transboundary communities flood and inundation resilient. Therefore, governments, civil society organizations, and even private sectors need to engage both separately and collectively to strengthen absorptive, adaptive and transformative capacities of the flood-prone communities for their resiliency.
After decades of development, China has made significant progress in ensuring national food security. However, the country currently faces multiple challenges, including the double burden of malnutrition, i.e., micronutrient deficiencies and overweight/obesity, climate change, resource stress and environmental degradation, and an increasingly complex global market. This paper reviews past developments in food and agriculture, and offers initial insights into transforming the Chinese food system for achieving multiple national development goals using a systems approach. Strategies and solutions from China can also inform the design and implementation of food system transformation in other emerging economies.
Concerns about the health and safety of working populations as well as preventive actions to reduce heat-related illnesses and fatalities have intensified as global warming and heatwaves continue to rise as a result of climate change. This study aimed to translate and culturally-adapted the translated Malay version of the Heat Strain Score Index (HSSI) questionnaire so that it can be utilized as a screening tool for heat stress among the Malay-speaking outdoor workers. The original English version of HSSI underwent forward-backward translation and was cross-culturally adapted into the Malay language by bilingual translators based on established guidelines. The content validation was reviewed by a six-member expert committee including the representative of outdoor workers. Face validation was carried out among 10 outdoor workers involved with various work tasks. Psychometric analysis was conducted based on a cross-sectional study among 188 workers who were eligible. Exploratory Factor Analysis (EFA) was used for construct validity while internal consistency reliability was performed using Cronbach’s alpha. The interclass correlation coefficient (ICC) was used to calculate the test-retest reliability. Both content and face validity were acceptable with the overall content validity index being 1.00, while the universal face validity index was 0.83. The factor analysis using varimax rotation extracted four factors which explained 56.32% of the cumulative percentage of variance and factor loading ranging from 0.415 to 0.804. The internal consistency reliability was acceptable with Cronbach’s alpha ranging from 0.705 to 0.758 for all the factors. The overall ICC value was 0.792 (95% CI; 0.764-0.801) which signifies good reliability. The findings from this study indicate that the Malay version of HSSI is a reliable and culturally-adapted instrument. Further validation is needed so that it can be used extensively assess the heat stress among susceptible Malay-speaking outdoor workers in Malaysia who are exposed to hot humid environments.
Environmental risks are a substantial factor in the current burden of disease, and their role is likely to increase in the future. Model-based scenario analysis is used extensively in environmental sciences to explore the potential effects of human activities on the environment. In this Review, we examine the literature on scenarios modelling environmental effects on health to identify the most relevant findings, common methods used, and important research gaps. Health outcomes and measures related to climate change (n=106) and air pollution (n=30) were most frequently studied. Studies examining future disease burden due to changes or policies related to dietary risks were much less common (n=10). Only a few studies assessed more than two environmental risks (n=3), even though risks can accumulate and interact with each other. Studies predominantly covered high-income countries and Asia. Sociodemographic, vulnerability, and health-system changes were rarely accounted for; thus, assessing the full effect of future environmental changes in an integrative way is not yet possible. We recommend that future models incorporate a broader set of determinants of health to more adequately capture their effect, as well as the effect of mitigation and adaptation efforts.
Arboviruses (arthropod-borne-viruses) are an emerging global health threat that are rapidly spreading as climate change, international business transport, and landscape fragmentation impact local ecologies. Since its initial detection in 1999, West Nile virus has shifted from being a novel to an established arbovirus in the United States of America. Subsequently, more than 25,000 cases of West Nile neuro-invasive disease have been diagnosed, cementing West Nile virus as an arbovirus of public health importance. Given its novelty in the United States of America, high-risk ecologies are largely underdefined making targeted population-level public health interventions challenging. Using the Centers for Disease Control and Prevention ArboNET neuroinvasive West Nile virus data from 2000-2021, this study aimed to predict neuroinvasive West Nile virus human cases at the county level for the contiguous USA using a spatio-temporal Bayesian negative binomial regression model. The model includes environmental, climatic, and demographic factors, as well as the distribution of host species. An integrated nested Laplace approximation approach was used to fit our model. To assess model prediction accuracy, annual counts were withheld, forecasted, and compared to observed values. The validated models were then fit to the entire dataset for 2022 predictions. This proof-of-concept mathematical, geospatial modelling approach has proven utility for national health agencies seeking to allocate funding and other resources for local vector control agencies tackling West Nile virus and other notifiable arboviral agents.
The COVID-19 pandemic has shown the need for better global governance of pandemic prevention, preparedness, and response (PPR) and has emphasised the importance of organised knowledge production and uptake. In this Health Policy, we assess the potential values and risks of establishing an Intergovernmental Panel for One Health (IPOH). Similar to the Intergovernmental Panel on Climate Change, an IPOH would facilitate knowledge uptake in policy making via a multisectoral approach, and hence support the addressing of infectious disease emergence and re-emergence at the human-animal-environment interface. The potential benefits to pandemic PPR include a clear, unified, and authoritative voice from the scientific community, support to help donors and institutions to prioritise their investments, evidence-based policies for implementation, and guidance on defragmenting the global health system. Potential risks include a scope not encompassing all pandemic origins, unclear efficacy in fostering knowledge uptake by policy makers, potentially inadequate speed in facilitating response efforts, and coordination challenges among an already dense set of stakeholders. We recommend weighing these factors when designing institutional reforms for a more effective global health system.
OBJECTIVES: While ethicists have largely underscored the risks raised by digital health solutions that operate with or without artificial intelligence (AI), limited research has addressed the need to also mitigate their environmental footprint and equip health innovators as well as organisation leaders to meet responsibility requirements that go beyond clinical safety, efficacy and ethics. Drawing on the Responsible Innovation in Health framework, this qualitative study asks: (1) what are the practice-oriented tools available for innovators to develop environmentally sustainable digital solutions and (2) how are organisation leaders supposed to support them in this endeavour? METHODS: Focusing on a subset of 34 tools identified through a comprehensive scoping review (health sciences, computer sciences, engineering and social sciences), our qualitative thematic analysis identifies and illustrates how two responsibility principles-environmental sustainability and organisational responsibility-are meant to be put in practice. RESULTS: Guidance to make environmentally sustainable digital solutions is found in 11 tools whereas organisational responsibility is described in 33 tools. The former tools focus on reducing energy and materials consumption as well as pollution and waste production. The latter tools highlight executive roles for data risk management, data ethics and AI ethics. Only four tools translate environmental sustainability issues into tangible organisational responsibilities. CONCLUSIONS: Recognising that key design and development decisions in the digital health industry are largely shaped by market considerations, this study indicates that significant work lies ahead for medical and organisation leaders to support the development of solutions fit for climate change.
With increasing urbanisation and climate change, citizens are more frequently exposed to heat stress. In the current pragmatists’ discourse, efforts to adapt cities to deteriorating climate conditions should reflect not only the objective (physical) effects of the proposed measures, but also citizens’ preferences, which influence the perception schemata and mental image of a place. This study employs the innovative approach of mental mapping, using an online survey to identify mental hotspots and coolspots in two Central European cities of Plzen and Olomouc (Czechia). Map points and polygons, indicating locations thermally (un)comfortable to individual respondents, are combined into aggregate mental maps. Personal behavioural adaptation measures and citizens’ preferences for measures ameliorating thermal discomfort in thermally uncomfortable areas are analysed. The results show that the most preferred measures for improving thermal comfort are trees and parks, and a combination of greenery with blue elements. Other measures, such as temporary greenery, green roofs and facades, exterior shading elements, water spraying and misting, and street sprinkling, are substantially less frequently proposed. However, there are spatial differences between the preferred measures. The character of mental coolspots confirms citizens’ preferences for trees and parks and its synergy with blue elements and provides inspiration for positive change in (mental) hotspots. Moreover, the uneven spatial distribution of mental coolspots in the studied cities revealed neighbourhoods with few or no cooling opportunities in public areas.
It has been observed that high temperature exposure is associated with a reduction in lung function and some possible biological mechanisms have been suggested. However, it is unclear if thermal perception plays a role in the association. From September 3rd to 15th, 2018, in Guangzhou, China, we repeatedly measured daily thermal perception and lung function among 126 participants with outdoor military training. We performed a linear mixed model and stratified analyses by the origin of students, gender, and the training period to evaluate the effects of thermal perception on lung function. A total of 399 measurements were collected. Per vote increase in thermal sensation vote towards the “hot” direction was associated with a - 0.04 L (95% CI: - 0.08 to - 0.01) decrease in forced vital capacity (FVC), and - 0.04 L (95% CI: - 0.08 to - 0.01) decrease in forced expiratory volume in 1 s (FEV(1)). Per grade increase towards the “very uncomfortable” direction for thermal comfort vote was associated with an increased percentage of forced expiratory volume in 1 s (FEV(1)%) by 1.52% (95% CI: 0.18 to 2.86). For thermal preference, with preferred cooler vote increased by one level, FVC and FEV(1) decreased by - 0.05 L/s (95% CI: - 0.08 to - 0.02) and - 0.05L/s (95% CI: - 0.08 to - 0.02), respectively. The effects of thermal perception on lung function were stronger among non-local and in the first week of training. Our study suggests that in the same high-temperature environment, thermal perception is associated with lung function, even in healthy adults.
BACKGROUND AND OBJECTIVES: Compassion is described as an affective experience arising from witnessing the undeserved suffering of another that propels one to provide protection and cooperation. Climate change is often associated with “underserved suffering”, especially of younger and future generations. Consequently, contemporary climate discourse has expressed hostility toward older generations for inflicting such suffering. Studies on intergenerational relations within the context of climate change agree that intergenerational solidarity, rather than conflict, is necessary for effective climate action. Since compassion is instrumental to solidarity, in this study, we explore intergenerational climate-related expressions of compassion leading to intergenerational solidarity. RESEARCH DESIGN AND METHODS: We interviewed 16 climate activists from 8 countries (aged 16-76 years) to understand how they view climate responsibility. Thematic analysis was undertaken to create and explore themes related to intergenerational compassion and solidarity. RESULTS: Compassion flowed in both directions: from younger to older generations in the form of forgiveness, empathy, and understanding, and from older to younger generations through advocacy, lifestyle changes, and transmission of knowledge and skills. All participants emphasised solutions over accusations. Areas of focus varied between industrialized and developing countries. Cultural factors played an essential role in intergenerational perceptions. DISCUSSION AND IMPLICATIONS: Climate change can be a polarizing issue with older adults fielding accusations and younger people facing criticism for demanding climate action. Examples of intergenerational compassion can counter ageism, re-shape climate narratives, encourage intergenerational cooperation, harness the skills of different generations, and create a sustainable world for all ages.
To examine the quality and strength of evidence for an association between temperature increases caused by climate change and suicide used in policy documents to advocate for radical changes to healthcare systems in pursuit of decarbonisation. METHOD: The designs of articles collected in a systematic review which concluded that there was an association between climate change and increased rates of suicide were analysed for their capacity to support this conclusion. Complete US data covering temperatures and suicide rates between 1968 and 2004 was aggregated and analysed using linear regression to evaluate evidence for an association between temperature and suicide. RESULTS: None of the articles collected in the review has a design capable of investigating whether there is an association between temperature increases caused by climate change and rates of suicide. At the national level increased annual US temperatures were associated with a decrease in the rate of suicide, and at the state level it was common for high average temperature states to have low rates of suicide and vice versa. CONCLUSIONS: Policy recommendations for radical changes in healthcare services have been based on misrepresented evidence. Policy makers should beware of recommendations that ignore scientific evidence to pursue faith-based goals.
BACKGROUND: Human activities have changed the environment so profoundly over the past two centuries that human-induced climate change is now posing serious health-related threats to current and future generations. Rapid action from all scientific fields, including behavioral medicine, is needed to contribute to both mitigation of, and adaption to, climate change. PURPOSE: This article aims to identify potential bi-directional associations between climate change impacts and health-related behaviors, as well as a set of key actions for the behavioral medicine community. METHODS: We synthesized the existing literature about (i) the impacts of rising temperatures, extreme weather events, air pollution, and rising sea level on individual behaviors (e.g., eating behaviors, physical activity, sleep, substance use, and preventive care) as well as the structural factors related to these behaviors (e.g., the food system); and (ii) the concurrent positive and negative roles that health-related behaviors can play in mitigation and adaptation to climate change. RESULTS: Based on this literature review, we propose a first conceptual model of climate change and health-related behavior feedback loops. Key actions are proposed, with particular consideration for health equity implications of future behavioral interventions. Actions to bridge the fields of behavioral medicine and climate sciences are also discussed. CONCLUSIONS: We contend that climate change is among the most urgent issues facing all scientists and should become a central priority for the behavioral medicine community.
Vibrio vulnificus (Vv) and Vibrio parahaemolyticus (Vp) are water- and foodborne bacteria that can cause several distinct human diseases, collectively called vibriosis. The success of oyster aquaculture is negatively impacted by high Vibrio abundances. Myriad environmental factors affect the distribution of pathogenic Vibrio, including temperature, salinity, eutrophication, extreme weather events, and plankton loads, including harmful algal blooms. In this paper, we synthesize the current understanding of ecological drivers of Vv and Vp and provide a summary of various tools used to enumerate Vv and Vp in a variety of environments and environmental samples. We also highlight the limitations and benefits of each of the measurement tools and propose example alternative tools for more specific enumeration of pathogenic Vv and Vp. Improvement of molecular methods can tighten better predictive models that are potentially important for mitigation in more controlled environments such as aquaculture.
In the modern world with climate changes and increasing pollution, different types of stress are becoming an increasing challenge. Hence, the identification of reliable biomarkers of stress and accessible sensors to measure such biomarkers are attracting increasing attention. In the current study, we demonstrate that the activity, but not the expression, of the ubiquitous enzyme topoisomerase 1 (TOP1), as measured in crude cell extracts by the REEAD sensor system, is markedly reduced in response to thermal stress in both fruit flies (Drosophila melanogaster) and cultivated human cells. This effect was observed in response to both mild-to-moderate long-term heat stress and more severe short-term heat stress in D. melanogaster. In cultivated HeLa cells a reduced TOP1 activity was observed in response to both cold and heat stress. The reduced TOP1 activity appeared dependent on one or more cellular pathways since the activity of purified TOP1 was unaffected by the utilized stress temperatures. We demonstrate successful quantitative measurement of TOP1 activity using an easily accessible chemiluminescence readout for REEAD pointing towards a sensor system suitable for point-of-care assessment of stress responses based on TOP1 as a biomarker.
Crises such as Hurricane Maria and the coronavirus disease 2019 (COVID-19) pandemic have revealed that untimely reporting of the death toll results in inadequate interventions, impacts communication, and fuels distrust on response agencies. Delays in establishing mortality are due to the contested definition of deaths attributable to a disaster and lack of rapid collection of vital statistics data from inadequate health system infrastructure. Readily available death counts, combined with geographic, demographic, and socioeconomic data, can serve as a baseline to build a continuous mortality surveillance system. In an emergency setting, real-time Total, All-cause, Excess Mortality (TEM) can be a critical tool, granting authorities timely information ensuring a targeted response and reduce disaster impact. TEM measurement can identify spikes in mortality, including geographic disparities and disproportionate deaths in vulnerable populations. This study recommends that measuring total, all-cause, excess mortality as a first line of response should become the global standard for measuring disaster impact.
It is increasingly recognized that strong geographic variations in cardiovascular risk cannot be explained using traditional cardiovascular risk factors alone. Indeed, it is highly unlikely that heredity and classic risk factors such as hypertension, diabetes, dyslipidemia, and tobacco use can explain the tenfold variation observed in cardiovascular mortality among men in Russia and those in Switzerland. Since the advent of industrialization and resultant changes to our climate, it is now clear that environmental stressors also influence cardiovascular health and our thinking around cardiovascular risk prediction is in need of aparadigm shift. Herein, we review the basis for this shift in our understanding of the interplay of environmental factors with cardiovascular health. We illustrate how air pollution, hyperprocessed foods, the amount of green space, and population activity levels are now considered the 4 major environmental determinants of cardiovascular health and provide a framework for how these considerations might be incorporated into clinical risk assessment. We also outline the clinical and socioeconomic effects of the environment on cardiovascular health and review key recommendations from major medical societies.
Heat and tropospheric ozone have acute impacts on rates of premature death. Warm temperatures affect the photochemical processes in ozone formation, suggesting ozone as a mediator of the acute health effect of heat on mortality. We assembled a summertime daily time-series data set of 15 French urban areas during 2000-2015 to decompose the acute total effect of heat waves on mortality into natural direct and indirect effects using a regression-based product method under the potential outcomes framework. For each area, we estimated the effect of heat waves on mortality using a quasi-Poisson model with adjustment for covariates such as lagged nitrogen dioxide concentration, and we modeled ozone with a linear regression of heat waves and the same set of covariates. We pooled estimates across areas using random-effects models. We also provide R software code (R Foundation for Statistical Computing, Vienna, Austria) with which to reproduce or replicate our analysis. Most areas demonstrated evidence of mediation by ozone, with the pooled relative risks for natural indirect effects being 1.03 (95% confidence interval (CI): 1.02, 1.05), 1.03 (95% CI: 1.01, 1.04), and 1.04 (95% CI: 1.00, 1.07) for nonaccidental, cardiovascular, and respiratory mortality, respectively. We found evidence of a mediation effect by ozone in the association between heat waves and mortality in France which varied by geographic location and cause of mortality.
Many infectious diseases display strong seasonal dynamics. When both hosts and parasites are influenced by seasonal variables, it is unclear if the start of an epidemic is limited by host or parasite factors or both. The Daphnia-Pasteuria host-parasite system exhibits seasonal epidemics. We aimed to ascertain how temperature contributes to the timing of P. ramosa epidemics in early spring. To this aim, we experimentally disentangled this effect from the effects of temperature on host development and phenology and from that of host traits on parasite time to visible infection. We hypothesized that the parasite is additionally directly limited by low temperatures beyond its need for available hosts. We found that parasite time to visible infection decreased with increasing temperature at a faster rate than host time to hatching and maturity did, consistent with this hypothesis. We also found that hosts hatched from sexual resting stages are less likely to become infected than those produced clonally, and that hosts resistant to many known parasite strains are slower to show signs of visible infection compared to those susceptible to many. Together, these results imply that climate change could lead to earlier seasonal epidemics for this host-parasite system, which may also impact longer-term population dynamics.
With growing global concerns about climate change, the significance of urban greenery in architecture and urban planning is becoming increasingly apparent. Urban vegetation naturally cools cities, provides comfort and clean air, and has positive social, health, and economic effects. It is essential to ensure passive thermal comfort and safeguard biodiversity. It is widely recognized that urban greenery not only withstands severe outdoor climatic events, but also symbiotically interacts with buildings and citizens. Several studies demonstrated the potential of vegetation to provide outdoor thermal comfort, air purification, noise reduction, and various other ecosystem services. To emphasize the potential of urban green spaces to interact with the local urban morphology in terms of microclimatic aspects, the research examines the dynamic connection between various urban textures and urban green spaces. This study emphasizes how urban green spaces, such as parks, green spaces, and urban greenery, respond to temperature variations in both the present scenario and the projected future. Central to this contribution is the examination of the relationship between urban vegetation and its potential to reduce and counteract urban overheating in both current and projected future scenarios. The aim is to evaluate the effectiveness of urban vegetation compared to dense urban textures. The interaction between urban block morphology, building types, vegetation, and microclimates is presented here for comparative assessment, highlighting the different thermal behaviour and outdoor comfort responses in various urban areas in current and projected scenarios. Using a microclimatic simulation tool, the research will delve deeper into the potential and constraints associated with the role of urban greens in addressing the increasing temperatures in climate change. This paper presents a comparative microclimatic evaluation of two selected green areas in Parma, Italy, within different urban contexts. The evaluation compares the current situation with a projected future scenario (2050) to determine the most effective factors for mitigating overheating phenomena in existing cities.
Global climate change has contributed to the intensity, frequency, and duration of heatwave events. The association between heatwaves and elderly mortality is highly researched in developed countries. In contrast, heatwave impact on hospital admissions has been insufficiently studied worldwide due to data availability and sensitivity. In our opinion, the relationship between heatwaves and hospital admissions is worthwhile to explore as it could have a profound impact on healthcare systems. Therefore, we aimed to investigate the associations between heatwaves and hospitalisations for the elderly by age group in Selangor, Malaysia, from 2010 to 2020. We further explored the impact of heatwaves on the risks of cause-specific hospital admissions across age groups within the elderly. This study applied generalized additive models (GAMs) with the Poisson family and distributed lag models (DLMs) to estimate the effect of heatwaves on hospitalisations. According to the findings, there was no significant increase in hospitalisations for those aged 60 and older during heatwaves; however, a rise in mean apparent temperature (ATmean) by 1 °C significantly increased the risk of hospital admission by 12.9%. Heatwaves had no immediate effects on hospital admissions among elderly patients, but significant delay effects were identified for ATmean with a lag of 0-3 days. The hospital admission rates of the elderly groups started declining after a 5-day average following the heatwave event. Females were found to be relatively more vulnerable than males during heatwave periods. Consequently, these results can provide a reference to improve public health strategies to target elderly people who are at the greatest risk of hospitalisations due to heatwaves. Development of early heatwave and health warning systems for the elderly would assist with preventing and reducing health risks while also minimising the burden on the whole hospital system in Selangor, Malaysia.
INTRODUCTION: Adolescents in sub-Saharan Africa (SSA) are exposed to several challenges and risk factors, linked to historical legacies. Sub-Saharan Africa has one of the highest rates of poverty and inequality in the world, is one of the regions most negatively affected by climate change, performs poorly on many health measures, and has high rates of different forms of violence, especially gender-based violence. These contextual challenges impact adolescent mental health outcomes, preventing them to access resilience-enabling pathways that support positive outcomes despite adversity. This study aimed to contribute to knowledge generation on resilience of young people in the understudied SSA region by investigating which variables directly (or indirectly) affect the resilience of adolescents. METHODS: Purposive sampling was used to collect quantitative survey data from 3,312 adolescents (females = 1,818; males = 1,494) between the ages of 12 and 20 years, participating in interventions implemented by a non-governmental organization, the Regional Psychosocial Support Initiative. Data were collected in Angola (385, 11.6%), Eswatini (128, 3.9%), Kenya (390, 11.8%), Lesotho (349, 10.5%), Mozambique (478, 14.4%), Namibia (296, 8.9%), South Africa (771, 23.3%), Uganda (201, 6.1%), and Zambia (314, 9.5%). The survey collected data on socio-demographic status, resilience (CYRM-R), depression (PHQ-9), self-esteem (Rosenberg Self-Esteem Scale) and feelings of safety (self-developed scale). Mental health was defined as lower levels of depression, higher levels of self-esteem and higher levels of feeling safe. A mediation analysis was conducted to investigate the relationship between the predictors (the socio-demographic variables) and the output (resilience), with the mediators being depression, self-esteem and feeling safe (which all link to mental health). RESULTS: This study contributes to a gap in knowledge on country-level comparative evidence on significant predictors that impact resilience outcomes (directly or indirectly) for adolescents in sub-Saharan African countries. The results indicate that, when considering all countries collectively, feeling safe is the only predictor that has a significant direct effect on overall resilience and personal resilience, but not on caregiver resilience. When considering each country separately, feeling safe has a direct effect on overall, personal and caregiver resilience for all countries; but not for South Africa and Mozambique. DISCUSSION: The results provide evidence on which to craft youth development interventions by measuring mediators (depression, self-esteem and feeling safe) and resilience for adolescents in sub-Saharan Africa. The overall results of the present paper point toward a contextually relevant pathway to supporting their resilience, namely, the need to systemically target the creation and/or strengthening of structures that enable adolescents to feel safe.
The rise in air temperature in urban areas has been attracting the attention of urban climate researchers for years now, focusing on the intensity of the so-called Urban Heat Island (UHI) phenomenon. Recently, though, it has been rightly questioned whether the concept of UHI intensity is helpful in assessing mitigation of urban heat stress, especially since the concept does not reflect the spatial and temporal microscale climatic differences between adjacent intra-urban locations and the much lower magnitude of the UHI effect during daytime. Moreover, while UHI research is focused on near-surface air temperature levels, the existing evidence makes it clear that air temperature does not fully describe the intensity of street-level daytime heat stress during the hot season. This study attempted to evaluate the correlation between exposure to shortwave radiation and significant increases in heat stress under summer conditions through extensive monitoring. Using a mobile measurement setup we monitored summer daytime outdoor conditions in 148 unique locations in Tel Aviv-Yafo, a coastal city with a hot-summer Mediterranean climate. Analysis of the resulting dataset showed the decisive effect of solar exposure on significantly increased heat stress according to three common thermal comfort indices. A much weaker correlation was observed between comfort levels and air temperature, relative humidity, and wind speed levels. These findings support the conclusion that under summer daytime conditions in similarly hot climates the provision of shade has a far stronger positive effect on reducing heat stress than, for example, feasible reductions in air temperatures or increases in wind speed.
OBJECTIVES: At present, some studies have pointed out several possible climate drivers of bacillary dysentery. However, there is a complex nonlinear interaction between climate drivers and susceptible population in the spread of diseases, which makes it challenging to detect climate drivers at the size of susceptible population. METHODS: By using empirical dynamic modeling (EDM), the climate drivers of bacillary dysentery dynamic were explored in China’s five temperature zones. RESULTS: We verified the availability of climate drivers and susceptible population size on bacillary dysentery, and used this information for bacillary dysentery dynamic prediction. Moreover, we found that their respective effects increased with the increase of temperature and relative humidity, and their states (temperature and relative humidity) were different when they reached their maximum effects, and the negative effect between the effect of temperature and disease incidence increased with the change of temperature zone (from temperate zone to warm temperate zone to subtropical zone) and the climate driving effect of the temperate zone (warm temperate zone) was greater than that of the colder (temperate zone) and warmer (subtropics) zones. When we viewed from single temperature zone, the climatic effect arose only when the size of the susceptible pool was large. CONCLUSIONS: These results provide empirical evidence that the climate factors on bacillary dysentery are nonlinear, complex but dependent on the size of susceptible populations and different climate scenarios.
PURPOSE: Various natural and human made disasters occur worldwide. This study aimed to identify the factors affecting suicidal ideation in victims of disasters such as typhoons, heavy rainfall, fires, and earthquakes. METHODS: Data were obtained from a long-term survey on life changes among disaster victims conducted in 2019 by the National Disaster Management Research Institute. The study included 2234 victims of natural and social disasters occurring in Korea between 2012 and 2018. Suicidal ideation was assessed using the Korean version of the Composite International Diagnostic Interview developed by the World Health Organization. The participants’ demographic characteristics, disaster-related characteristics, physical characteristics, psychological characteristics, and social characteristics were analyzed as the influencing factors. The data were analyzed using the chi-square test, t-test, and logistic regression. RESULTS: Of the 2234 subjects in this study, 32 were disaster victims who had experienced suicidal ideation, accounting for 1.4%. The results showed that the factors affecting suicidal ideation included disaster-related injury/disease, depression, and social support. The odds ratio of suicidal ideation was higher when there was injury/disease (OR=1.89, 95% CI=0.07-0.48), with higher depression levels (OR=1.31, 95% CI=1.18-1.47) and with lower social support (OR=0.94, 95% CI=0.90-0.99). CONCLUSION: This study identifies the significant influencing factors of suicidal ideation in disaster victims, which were as follows: disaster-related injury or disease, depression, and social support. Our study’s findings would contribute to screening high-risk groups of suicidal ideation and developing effective support, interventions, and suicide prevention programs for disaster victims. Furthermore, to prevent suicide and promote the healthy recovery of disaster victims, mental health care services aimed at suicide prevention should be reinforced and the victims should be provided with psychological support and treatment without financial burden.
Vaccines for tetanus prevention have rapidly progressed, and the number of outbreaks, especially the incidence of tetanus in developed countries, has decreased dramatically. However, the mortality rate associated with severe tetanus remains high. Tetanus eradication is difficult owing to the widespread presence of the spores of tetanus bacteria in the environment, but tetanus can be prevented by acquired immunity from vaccines. Older people, intravenous drug users, and migrants are at a high risk of tetanus in developed countries owing to the lack of booster vaccination programs. Natural disasters, especially floods, often cause an increase in the prevalence of tetanus because of the associated injuries. Precautions should be taken to combat the threat of a new tetanus outbreak due to floods in urban areas owing to global warming. In particular, Japan is facing a high risk of urban flooding-induced tetanus, despite its status as a developed country. This review aims to highlight the data on the epidemiology, causes, treatment, and prevention of tetanus and problems associated with tetanus countermeasures during future floods.
Given that no exact cause has been reported for the rapid increase of tick-borne infections in South Korea, the impact of climate and environmental changes on tick-borne infections is investigated, and potential high-risk areas are identified at the refined resolution. Ticks transmit a wide range of pathogens. The spread of tick-borne infections is an emerging, yet often overlooked, threat in the context of climate change. The infections have rapidly increased over the past few years in South Korea despite no significant changes in socioeconomic circumstances. We investigated the impact of climate change on the surge of tick-borne infections and identified potential disease hot spots at a resolution of 5 km by 5 km. A composite index was constructed based on multiple climate and environmental indicators and compared with the observed tick-borne infections. The surge of tick-borne episodes corresponded to the rising trend of the index over time. High-risk areas identified by the index can be used to prioritize locations for disease prevention activities. Monitoring climate risk factors may provide an opportunity to predict the spread of the infections in advance.
Humankind faces a Triple Challenge: averting dangerous climate change, reversing biodiversity loss, and supporting the wellbeing of a growing population. Action to address each of these issues is inherently dependent on action to address the others. Local, national, and international policy goals on climate change, biological diversity, and human wellbeing have been set. Current implementation measures are insufficient to meet these goals, but the Triple Challenge can still be met if governments, corporations, and other stakeholders take a holistic perspective on management of land and waters. To inform this effort, we identify a set of priority policy responses drawn from recent international assessments that, whilst not being the only potential solutions, can form the core of such a holistic approach. We do this through an iterative process using three methodological approaches: (i) structured literature review; (ii) deliberative expert analysis; and (iii) wider consultation, before synthesizing into this paper. Context-appropriate implementation of responses will be needed to capitalize on potential policy synergies and to ensure that unavoidable trade-offs between management of land and waters for climate mitigation, biodiversity restoration, and human wellbeing outcomes are made explicit. We also set out four approaches to managing trade-offs that can promote fair and just transitions: (1) social and economic policy pivoting towards ‘inclusive wealth’; (2) more integrated policymaking across the three areas; (3) ‘Triple Challenge dialogues’ among state and non-state actors; and (4) a new research portfolio to underpin (1), (2), and (3).Key policy insights:Multiple recent global assessments provide a strong scientific basis for action on each of the three aspects of the Triple Challenge – climate, biodiversity, and human wellbeing (with a focus on food and nutrition) – but they do not provide an integrated perspective on how to address them simultaneously.Synthesis of these assessments identifies a portfolio of five core policy responses that deliver across the Triple Challenge: (i) rapidly cutting fossil fuel use; (ii) promoting sustainable, healthy diets; (iii) increasing food productivity and cutting food loss and waste; (iv) implementing nature-based solutions at scale; and (v) strengthening governance and management of land and waters.Even with widespread implementation of that portfolio, trade-offs between climate, biodiversity, and wellbeing outcomes might be unavoidable. Policymakers, researchers, and other actors should explicitly identify such trade-offs, and take steps to ensure management priorities are set through equitable dialogue processes informed by integrated research.
No abstract available.
INTRODUCTION: Climate change is a source of global concern that has both direct and general impacts on mental health. A recent study conducted following severe bushfires in Australia demonstrated relationships among nature connectedness, climate action, climate worry, and mental health; for example, nature connectedness was associated with climate worry, which in turn was associated with psychological distress. METHODS: The present study sought to replicate those findings while building on them in two important ways: on those findings in two ways: first, test similar relationships in a different geographical context that has been mostly spared from direct impacts by acute climate events; second, we take into consideration an additional factor, climate knowledge, which has been linked to relevant factors such as climate anxiety. RESULTS: The results of a survey completed by 327 adults revealed a similar relationship between nature connectedness and climate anxiety, and between that and psychological distress. Further mirroring those previous findings, nature connectedness was associated with both individual and collective climate action, but the relationships between them and psychological distress differed. DISCUSSION: The proposed model was a better fit to the collected data among those with high levels of climate change knowledge than those with low levels, suggesting that such knowledge influences how the above factors relate to each other.
Although single factors such as rainfall are known to affect the population dynamics of Aedes albopictus, the main vector of dengue fever in Eurasia, the synergistic effects of different meteorological factors are not fully understood. To address this topic, we used meteorological data and mosquito-vector association data including Breteau and ovitrap indices in key areas of dengue outbreaks in Guangdong Province, China, to formulate a five-stage mathematical model for Aedes albopictus population dynamics by integrating multiple meteorological factors. Unknown parameters were estimated using a genetic algorithm, and the results were analyzed by k-Shape clustering, random forest and grey correlation analysis. In addition, the population density of mosquitoes in 2022 was predicted and used for evaluating the effectiveness of the model. We found that there is spatiotemporal heterogeneity in the effects of temperature and rainfall and their distribution characteristics on the diapause period, the numbers of peaks in mosquito densities in summer and the annual total numbers of adult mosquitoes. Moreover, we identified the key meteorological indicators of the mosquito quantity at each stage and that rainfall (seasonal rainfall and annual total rainfall) was more important than the temperature distribution (seasonal average temperature and temperature index) and the uniformity of rainfall annual distribution (coefficient of variation) for most of the areas studied. The peak rainfall during the summer is the best indicator of mosquito population development. The results provide important theoretical support for the future design of mosquito vector control strategies and early warnings of mosquito-borne diseases.
Climate change is increasing heat-associated mortality particularly in hotter parts of the world. The Northern Territory is a large and sparsely populated peri-equatorial state in Australia. The Northern Territory has the highest proportion of Aboriginal and Torres Strait Islander people in Australia (31%), most of whom live in remote communities of over 65 Aboriginal Nations defined by ancient social, cultural, and linguistic heritage. The remainder non-Indigenous population lives mostly within the two urban centres (Darwin in the Top End region and Alice Springs in the Centre region of the Northern Territory). Here we aim to compare non-Indigenous (eg, high income) and Indigenous societies in a tropical environment and explore the relative importance of physiological, sociocultural, and technological and infrastructural adaptations to heat. METHODS: In this case time series, we matched temperature at the time of death using a modified distributed lag non-linear model for all deaths in the Northern Territory, Australia, from Jan 1, 1980, to Dec 31, 2019. Data on deaths came from the national registry of Births, Deaths and Marriages. Cases were excluded if location or date of death were not recorded or if the person was a non-resident. Daily maximum and minimum temperature were measured and recorded by the Bureau of Meteorology. Hot weather was defined as mean temperature greater than 35°C over a 3-day lag. Socioeconomic status as indicated by Index of Relative Socioeconomic Disadvantage was mapped from location at death. FINDINGS: During the study period, 34 782 deaths were recorded; after exclusions 31 800 deaths were included in statistical analysis (15 801 Aboriginal and 15 999 non-Indigenous). There was no apparent reduction in heat susceptibility despite infrastructural and technological improvements for the majority non-Indigenous population over the study period with no heat-associated mortality in the first two decades (1980-99; relative risk 1·00 [95% CI 0·87-1·15]) compared with the second two decades (2000-19; 1·14 [1·01-1·29]). Despite marked socioeconomic inequity, Aboriginal people are not more susceptible to heat mortality (1·05, [0·95-1·18]) than non-Indigenous people (1·18 [1·06-1·29]). INTERPRETATION: It is widely believed that technological and infrastructural adaptations are crucial in preparing for hotter climates; however, this study suggests that social and cultural adaptations to increasing hot weather are potentially powerful mechanisms for protecting human health. Although cool shelters are essential during extreme heat, research is required to determine whether excessive exposure to air-conditioned spaces might impair physiological acclimatisation to the prevailing environment. Understanding sociocultural practices from past and ancient societies provides insight into non-technological adaptation opportunities that are protective of health. FUNDING: None.
Volatile organic compound (VOC) emissions have attracted wide attention due to their impacts on atmospheric quality and public health. However, most studies reviewed certain aspects of natural VOCs (NVOCs) or anthropogenic VOCs (AVOCs) rather than comprehensively quantifying the hotspots and evolution trends of AVOCs and NVOCs. We combined the bibliometric method with the evolution tree and Markov chain to identify research focus and uncover the trends in VOC emission sources. This study found that research mainly focused on VOC emission characteristics, effects on air quality and health, and VOC emissions under climate change. More studies concerned on AVOCs than on NVOCs, and AVOC emissions have shifted with a decreasing proportion of transport emissions and an increasing share of solvent utilization in countries with high emissions and publications (China and the USA). Research on AVOCs is imperative to develop efficient and economical abatement techniques specific to solvent sources or BTEX species to mitigate the detrimental effects. Research on NVOCs originating from human sources risen due to their application in medicine, while studies on sources sensitive to climate change grew slowly, including plants, biomass burning, microbes, soil and oceans. Research on the long-term responses of NVOCs derived from various sources to climate warming is warranted to explore the evolution of emissions and the feedback on global climate. It is worthwhile to establish an emission inventory with all kinds of sources, accurate estimation, high spatial and temporal resolution to capture the emission trends in the synergy of industrialization and climate change as well as to simulate the effects on air quality. We review VOC emissions from both anthropogenic and natural sources under climate change and their effects on atmospheric quality and health to point out the research directions for the comprehensive control of global VOCs and mitigation of O(3) pollution.
This research develops an expected risk model and estimates risk impacts of single or multiple disasters in terms of human fatality, injury, affected, and economic damage for nearly 200 nations. Both natural hazards, including geophysical, meteorological, hydrological, and technological disasters, such as industrial, transport, and structural, are considered. Relevant measures of expected risk, such as standard deviation, coefficient of variance, range, and rank are also calculated to assess a country’s overall risk. Social-economic-physical factors from the World Development Index developed by the United Nations (UN) are then regressed with occurrences and risks of natural and tech disasters to seek plausible associations. The results show that (1) the model performs reasonably well in fitting observed and modeled risks and risk impacts, relatively better for natural disaster and affected people and economic damage; (2) while natural disasters are far more risky than tech ones in total risk impacts; specific risks for subgroups of natural or tech disasters vary widely in magnitude and by country; (3) high natural and/or tech risks concentrate in a small number of countries, such as China, India, Bangladesh in Asia; U.S., Mexico, Canada in North America; Turkey, Russia, France, Germany in Europe, and Algeria, Egypt, and Ethiopia in Africa, which are relatively large in population, fast in development, or advanced in industrialization; yet (4) high risk deviations per unit risk impacts reveal that many small, developing, and tech backward countries need to prepare even more for both natural and tech disasters. Finally, (5) while many countrylevel development factors, together with disaster occurrence, are statistically significant, only some can provide weak predictability of disaster risk impacts under robust regression. The research findings provide useful risk references to countries for resilient national policies for disaster preparation, mitigation, and recovery.
Background Because of global climate change, extreme flood events are expected to increase in quantity and intensity in the upcoming decades. In catchments affected by ore mining, flooding leads to the deposition of fine sediments enriched in trace metal(loid)s. Depending on their concentration, trace metal(loid)s can be a health hazard. Therefore, exposure of the local population to flood sediments, either by ingestion (covering direct ingestion and consuming food grown on these sediments) or via inhalation of dried sediments contributing to atmospheric particulate matter, is of concern. Results The extreme flood of July 2021 deposited large amounts of sediment across the town of Eschweiler (western Germany), with the inundation area exceeding previously mapped extreme flood limits (HQ(extreme)). These sediments are rich in fine material (with the < 63 mu m fraction making up 32% to 96%), which either can stick to the skin and be ingested or inhaled. They are moderately to heavily enriched in Zn > Cu > Pb > Cd > Sn compared to local background concentrations. The concentrations of Zn, Pb, Cd, Cu, and As in flood sediments exceed international trigger action values. A simple assessment of inhalation and ingestion by humans reveals that the tolerable daily intake is exceeded for Pb. Despite the enrichment of other trace elements like Zn, Cu, Cd, and Sn, they presumably do not pose a risk to human well-being. However, exposure to high dust concentrations may be a health risk. Conclusions In conclusion, flood sediments, especially in catchments impacted by mining, may pose a risk to the affected public. Hence, we propose to (I) improve the flood mapping by incorporating potential pollution sources; (II) extend warning messages to incorporate specific guidance; (III) use appropriate clean-up strategies in the aftermath of such flooding events; (IV) provide medical support, and ( V) clue the public and medical professionals in on this topic accordingly.
The decrease in low-water flows and the increase in water temperature and other parameters as observed in the rivers over the last 50 years suggest that a concentration of compounds and pollutants is taking place, in connection with climate change and/or anthropisation (without discerning their respective contributions). These effects occur in a context where the rivers are already impacted by the presence of many pollutant cocktails (pesticides, drugs, and others). The authors now show that these pollutant cocktails – at the environmental concentrations currently found – constitute a threat to human health through their possible effects on the virulence of pathogenic bacteria. While certain genes of Salmonella Typhimurium may not experience an increased risk, the exposure to more concentrated cocktails (at a five-fold concentration) could potentially amplify certain virulent factors such as the motility of Pseudomonas aeruginosa H103. The findings indicate that pollution mixtures have an effect on the virulence potential of certain waterborne pathogenic bacteria, even at concentrations currently observed in rivers.
Allergic disease is still a serious global public health problem, affecting 30-40% of world population. The rapid increase in prevalence indicates gene-by-environment interaction, in which epigenetics may be the underlying mechanism. We reviewed recent epidemiological studies about the association between prenatal exposure to air pollution and childhood allergies. On the other hand, we reviewed the evidence that maternal exposure to air pollution caused epigenetic alterations that changed the gene expression or transcription in offspring. We further discussed the challenges of the global warming and COVID-19 to the childhood allergies especially in developing countries and suggested the opportunities to prevention or control by early intervention, immunotherapy, and epigenetic therapy.
Human activity and increased use of fossil fuels have led to climate change. These changes are adversely affecting human health, including increasing the risk of developing asthma. Global temperatures are predicted to increase in the future. In 2019, asthma affected an estimated 262 million people and caused 455,000 deaths. These rates are expected to increase. Climate change by intensifying climate events such as drought, flooding, wildfires, sand storms, and thunderstorms has led to increases in air pollution, pollen season length, pollen and mold concentration, and allergenicity of pollen. These effects bear implications for the onset, exacerbation, and management of childhood asthma and are increasing health inequities. Global efforts to mitigate the effects of climate change are urgently needed with the goal of limiting global warming to between 1.5 and 2.0 °C of preindustrial times as per the 2015 Paris Agreement. Clinicians need to take an active role in these efforts in order to prevent further increases in asthma prevalence. There is a role for clinician advocacy in both the clinical setting as well as in local, regional, and national settings to install measures to control and curb the escalating disease burden of childhood asthma in the setting of climate change.
As the linkages between extreme weather events, changes in climatic conditions and health impacts in exposed populations become clearer, so does the need for climate-smart decisions aimed at making the public health sector more responsive and resilient. By integrating climate and health information, climate services for health provide robust decision-support tools. The Lancet Countdown monitoring system uses global climate reanalyses products to track annual changes in a set of health-related outcomes. In the monitoring system, multiple variables from reanalysis datasets such as ERA5 and ERA5-Land are retrieved and processed to capture heatwaves, precipitation extremes, wildfires, droughts, warming and ecosystem changes across the globe and over multiple decades. This reanalysis-derived information is then input into a hazard-exposure-vulnerability framework that delivers, as outcomes, indicators tracking the year-by-year impacts of climate-related hazards on human mortality, labour capacity, physical activity, sentiment, infectious disease transmission, and food security and undernutrition. Building on the reanalysis gridded format, the indicators create worldwide ‘maps without gaps’ of climate-health linkages. Our experience shows that reanalysis datasets allow standardization across the climate information used in the framework, making the system potentially adaptable to multiple geographical scales. An ongoing challenge is to quantify how the inherent bias of global reanalyses influences indicator outcomes. We foresee the health sector as a key user of reanalysis products. Therefore, public health professionals and health impact modellers should be involved in the co-development of future iterations of reanalysis datasets, to reach finer spatial resolutions and provide a wider set of health-relevant climate variables.
Government financing among OPEC+ countries predominantly stems from oil investments. However, given the global prevalence of communicable and non-communicable diseases, aging, population growth, and pandemic mutations, these countries require more oil investments to finance healthcare, with potential adverse consequence on carbon emissions and climate change. This study aims to investigate the relationship between government healthcare financing and carbon emissions and climate change and propose solutions for greener healthcare financing. Quantitative data from 2000 to 2020 were extracted from the WHO and Global Economy databases. The relationship of four variables indicating government healthcare financing to government budget, to total healthcare financing, to GDP, and per-capita with oil investment were investigated using a multiple regression analysis. The analysis included the world’s ten oil-producing countries with the highest oil revenue to GDP. The results showed significant relationships between government healthcare financing to total healthcare financing, to GDP, and per-capita with oil investment among most of the included countries, thereby demonstrating the substantial contribution of OPEC+ to carbon emissions and climate change. The predominant dependence of OPEC+ on oil for financing, with no tangible future transition insight, should make them persistent contributors to carbon emissions and climate change given the considerable publicly financed part of their healthcare systems and the world’s changeable healthcare needs. Thus, oil-dependent countries should strive to free their healthcare financing from oil investment with the environmental harm that this coupling incurs and adopt transformative strategies that expedite the transition to net-zero carbon emissions. Oil-dependent countries boost oil investments to meet global healthcare demands, which could negatively affect carbon emissions and climate change.The relationship between government healthcare financing and oil investment in OPEC+ countries was investigated.Most countries and variables showed associations between government healthcare financing and oil investment.OPEC+ appeared to significantly contribute to carbon emissions and climate change.
In the present era of global warming and dramatically increased environmental pollution posing a threat to animal life, the understanding and manipulation of organisms’ resources of stress tolerance is apparently a question of survival. Heat stress and other forms of stressful factors induce a highly organized response of organisms at the cellular level where heat shock proteins (Hsps) and in particular Hsp70 family of chaperones are among the major players in the protection from the environmental challenge. The present review article summarizes the peculiarities of the Hsp70 family of proteins protective functions being a result of many millions of years of adaptive evolution. It discusses the molecular structure and specific details of hsp70 gene regulation in various organisms, living in diverse climatic zones, with a special emphasis on the protective role of Hsp70 in adverse conditions of the environment. The review discusses the molecular mechanisms underlying Hsp70-specific properties that emerged in the course of adaptation to harsh environmental conditions. This review also includes the data on the anti-inflammatory role of Hsp70 and the involvement of endogenous and recombinant Hsp70 (recHsp70) in proteostatic machinery in various pathologies including neurodegenerative ones such as Alzheimer’s and Parkinson’s diseases in rodent model organisms and humans in vivo and in vitro. Specifically, the role of Hsp70 as an indicator of disease type and severity and the use of recHsp70 in several pathologies are discussed. The review discusses different roles exhibited by Hsp70 in various diseases including the dual and sometimes antagonistic role of this chaperone in various forms of cancer and viral infection including the SARS-Cov-2 case. Since Hsp70 apparently plays an important role in many diseases and pathologies and has significant therapeutic potential there is a dire need to develop cheap recombinant Hsp70 production and further investigate the interaction of externally supplied and endogenous Hsp70 in chaperonotherapy.
Over the last two decades, vector-borne pathogens (VBPs) have changed their distribution across the globe as a consequence of a variety of environmental, socioeconomic and geopolitical factors. Dirofilaria immitis and Dirofilaria repens are perfect exemplars of European VBPs of One Health concern that have undergone profound changes in their distribution, with new hotspots of infection appearing in previously non-endemic countries. Some areas, such as the United Kingdom, are still considered non-endemic. However, a combination of climate change and the potential spread of invasive mosquito species may change this scenario, exposing the country to the risk of outbreaks of filarial infections. Only a limited number of non-autochthonous cases have been recorded in the United Kingdom to date. These infections remain a diagnostic challenge for clinicians unfamiliar with these “exotic” parasites, which in turn complicates the approach to treatment and management. Therefore, this review aims to (i) describe the first case of D. repens infection in a dog currently resident in Scotland, (ii) summarise the available literature on Dirofilaria spp. infections in both humans and animals in the United Kingdom and (iii) assess the suitability of the United Kingdom for the establishment of these new VBPs.
Increases in ambient temperatures and the frequency of extreme heat events constitute important burdens on global public health. However, evidence on their effects on public health is limited and inconclusive in China. In this study, data on daily deaths recorded in 33 Chinese cities from 2007 to 2013 was used to evaluate the effect of heat on mortality in China. In addition to the definition of a heatwave established by the China Meteorological Administration, we combined four city-specific relative thresholds (90th, 92.5th, 95th, and 97.5th percentiles) of the daily mean temperature during the study period and three durations of ? 2, ? 3, and ? 4 days, from which 13 heatwave definitions were developed. Then, we estimated the main and added effects of heat at the city level using a quasi-Poisson generalized additive model combined with a distributed lag nonlinear model. Next, the estimates for the effects were pooled at the national level using a multivariable meta-analysis. Subgroup analysis was performed according to sex, age, educational attainment, and spatially stratified heterogeneity. The results showed that the mortality risk increased from 22.3% to 37.1% due to the effects of the different heatwave definitions. The added effects were much lower, with the highest increase of 3.9% (95% CI: 1.7%-6.1%) in mortality risk. Females, the elderly, populations with low educational levels, and populations living inland in China were found to be the most vulnerable to the detrimental effects of heat. These findings have important implications for the improvement of early warning systems for heatwaves.
The threats to human and animal health, biodiversity conservation, and our living planet’s future are ever-present and increasingly more severe due to climate change and environmental degradation. There is an emerging discourse exploring the mental health dimensions contained within these changes. To better understand and respond to these impacts requires novel and creative methodological approaches built on conceptual frameworks that integrate perspectives from the social and natural sciences. Three of the most influential interdisciplinary frameworks at the human-animal-ecosystem interface include: One Health, EcoHealth, and Planetary Health. These frameworks report mental health as an integral component within overall health-related outcomes. However, a comprehensive synthesis of the state of the literature that examines how mental health is explored within these approaches does not currently exist. A systematic scoping review was therefore conducted to obtain clear understandings of patterns, gaps, and broad themes, and to highlight future research needs and considerations. Standardized PRISMA guidelines, including explicitly defined inclusion/exclusion criteria and dual screening/extractions, were used. 13 papers were included: seven using the One Health Framework, with Planetary and EcoHealth each represented by three. Trends observed include a predominate focus on companion animals as interventions, “sense of place” used as a component of mental well-being, and non-physical health-related measurements of animal well-being as an outcome within One Health research. The lack in retrieved studies also highlight the dearth in literature on mental health as a pillar of these three well established frameworks. Compiling what is known in the evidence-base as a launching point for scientific engagement, this review describes guidance for investigators on how to conduct mental health research within these framework parameters so that future studies can elucidate mechanisms underpinning the intersections between the biosphere and human mental-health and data-driven interventions and policy recommendations that simultaneously address mental health and global change can be proposed and enacted.
Climate change brings exposures to heat, air pollution, poorer quality food, and infectious disease that have significant direct effects on women and their mental health. These environmental impacts are multifaceted in their consequences and raise risks of depression, suicide, violent victimization, post-traumatic stress disorder, and various other neuropsychiatric symptoms. Women also suffer increased climate psychological risks from higher rates of stillbirth, preterm birth, and developmental problems in their children. Here we review what is known about the overlap of women’s individual mental health and climate change, and highlight areas where more research is needed.
In the context of climate change, extreme weather events and sudden shifts in weather patterns are becoming increasingly frequent. The atmosphere is considered a source of meteorological and climatic risks for human beings and living organisms. Numerous studies have examined the correlation between meteorological variables and human morbidity and mortality. However, only a few authors have investigated the impact of environmental changes on human health and, to our knowledge, there are no meteorological indices proposing a methodology for assessing changes in atmospheric conditions. Under the hypothesis that meteorological disruptions have an impact on human health, this article proposes a method to calculate a new index, the Meteorological Contrast Index (MCI), based on weather changes. This index takes into account three variables: i) categorization based on the type of atmospheric process, ii) changes in these categories over a specific time period, and iii) the level of stress associated with these changes, considering the severity of the transition from one category to another. If the predictive value of this index is proven for a specific meteorological variable and disease, it could be valuable in defining biometeorological early warning systems for the prevention and management of healthcare resources.•The Meteorological Contrast Index is the first index that proposes a method to assess changes in atmospheric conditions.•Atmospheric changes are a significant source of biometeorological distress, which can be quantitatively defined using the Meteorological Contrast Index.•Certain diseases are sensitive to the weather, and their incidence may increase under specific sequences of weather types.
Heatwaves are becoming more frequent under climate change and can lead to thousands of excess deaths. Adaptation to extreme weather events often occurs in response to an event, with communities learning fast following unexpectedly impactful events. Using extreme value statistics, here we show where regional temperature records are statistically likely to be exceeded, and therefore communities might be more at-risk. In 31% of regions examined, the observed daily maximum temperature record is exceptional. Climate models suggest that similar behaviour can occur in any region. In some regions, such as Afghanistan and parts of Central America, this is a particular problem – not only have they the potential for far more extreme heatwaves than experienced, but their population is growing and increasingly exposed because of limited healthcare and energy resources. We urge policy makers in vulnerable regions to consider if heat action plans are sufficient for what might come. The global risk of record-breaking heatwaves is assessed, with the most at-risk regions identified. It is shown that record-smashing events that currently appear implausible could happen anywhere as a result of climate change.
The One Health approach is a collaborative and interdisciplinary strategy with focal point on human, animal, and environmental health interconnections. One Health can support the advanced management of allergic diseases and asthma, as complex, multifactorial diseases driven by interactions between the resilience response to the exposome. According to the One Health concept allergic diseases and asthma arising from exposures to a wide range of allergens, infectious agents and irritants (such as pollutants) occurring indoors and outdoors can be heavily influenced by environmental health (air, water, and soil quality) intermingled with animal health. These are currently heavily impacted by climate change, land use, urbanization, migration, overpopulation, and many more. Thus, a coordinated response to address the underlying factors that contribute to the development of allergic diseases and asthma needs to focus on the environment, human, and animal health altogether. Collaborative efforts across multiple sectors, including public health, veterinary medicine, environmental science, and community engagement are thus needed. A wide range of activities, including monitoring and surveillance of environmental and health data, targeted interventions to reduce exposures to allergens and irritants, and research on the underlying mechanisms that drive the development of allergic diseases and asthma are needed to move the field forward. In this consensus document elaborated by the European Academy of Allergy and Clinical Immunology (EAACI) and American Academy of Allergy, Asthma, and Immunology (AAAAI) under the practical allergy (PRACTALL) series, we provide insights into the One Heath approach aiming to provide a framework for addressing the complex and multifactorial nature of allergic diseases and asthma.
What does health misinformation look like, and what is its impact? We conducted a systematic review of 45 articles containing 64 randomized controlled trials (RCTs; N = 37,552) on the impact of health misinformation on behaviors and their psychological antecedents. We applied a planetary health perspective by framing environmental issues as human health issues and focusing on misinformation about diseases, vaccination, medication, nutrition, tobacco consumption, and climate change. We found that in 49% of the cases exposure to health misinformation damaged the psychological antecedents of behaviors such as knowledge, attitudes, or behavioral intentions. No RCTs evaluated the impact of exposure to misinformation on direct measures of health or pro-environmental behaviors (e.g., vaccination), and few studies explored the impact of misinformation on feelings, social norms, and trust. Most misinformation was based on logical fallacies, conspiracy theories, or fake experts. RCTs evaluating the impact of impossible expectations and cherry-picking are scarce. Most research focused on healthy adult US populations and used online samples. Future RCTs can build on our analysis and address the knowledge gaps we identified.
This study was conducted to examine the relationship between women’s awareness of climate change and their worries about climate change in terms of women’s health in Turkiye.Cross-sectional survey. The research was conducted in a descriptive study design in the relational survey model. The sample of the study consisted of 321 women. Data were collected with the “Personal Information Form, Adaptation of Awareness to Climate Change Questionnaire, Climate Change Worry Scale.” The total mean score of the Awareness to Climate Change Scale for Women was 2.32 ± 0.61 (moderate awareness), and the total mean score of the Climate Change Worry Scale was 2.76 ± 0.84 (moderate anxiety). There was a statistically significant, positive but weak relationship between women’s worries about climate change and their awareness to climate change (r = 0.373, p < .001). As women's awareness to climate change increases, their worries about climate change increase.
INTRODUCTION: Persons with pre-existing mental health diagnoses are known to be more vulnerable to the consequences of climate change, such as extreme weather events and rising temperatures. However, it remains unclear if this holds true for adverse effects of climate change awareness, too. METHODS: N = 89 patients of a psychosomatic outpatient clinic were assessed with well-established mental health questionnaires (PHQ-9 for depressive, GAD-7 for anxious, and PTSS-10 for post-traumatic symptoms) in their original form and in a modified version (PHQ-9-C, GAD-7-C, PTSS-10-C) specifically asking for patients’ symptom load regarding climate change awareness, and instruments evaluating personality factors (OPD-SF, SOC, RQ). RESULTS: 21% of the sample reported at least mild symptoms of anxiety regarding climate change awareness, and 11% mild symptoms of depression due to climate change awareness. General anxiety (GAD-7) scores significantly predicted if people reported any psychological symptoms due to climate change awareness. In multiple regression analyses, higher scores of clinical symptoms of depression, anxiety or post-traumatic stress predicted higher scores of depressive, anxious or post-traumatic symptoms regarding climate change awareness, and higher scores of psychological symptoms regarding climate change awareness predicted each other. Younger participants reported significantly more traumatic symptoms regarding climate change awareness. DISCUSSION: The reported mental health impairments regarding climate change awareness in persons with pre-existing mental health diagnoses indicate an increased vulnerability. Hereby, depressive mental health burden seems to induce a predominantly depressive processing of climate change resulting in climate chance related depression. This holds also true for anxious and traumatic symptoms, and points toward biased attentional and memory processes and mood congruent processing.
Food security and food safety are two concepts related to food risks. The majority of studies regarding climate change and food risks are related to the security of food provision. The objective of this study was to review the current state of knowledge of the influence of climate change on food production and food safety. The literature search was carried out by specifying each area individually (crops, ranching, fishing, food safety, etc.), including the term “climate change” and other specific factors such as CO(2), ozone, biotoxins, mortality, heat, etc.) The increase in carbon dioxide concentrations together with the increase in global temperatures theoretically produces greater yields in crops destined for human and animal consumption. However, the majority of studies have shown that crop yields are decreasing, due to the increase in the frequency of extreme weather events. Furthermore, these climate anomalies are irregularly distributed, with a greater impact on developing countries that have a lower capacity to address climate change. All of these factors result in greater uncertainty in terms of food provision and market speculation. An increase in average temperatures could lead to an increased risk of proliferation of micro-organisms that produce food-borne illnesses, such as salmonella and campylobacter. However, in developed countries with information systems that document the occurrence of these diseases over time, no clear trend has been determined, in part because of extensive food conservation controls.
The Western Pacific Region (WPR) is on the front line of climate change challenges. Understanding how these challenges affect the WPR populations’ mental health is essential to design effective prevention and care policies. Thus, the present study conducted an umbrella scoping review that examined the influence of climate change on mental health in the WPR, using review articles as a source of information. Ten review articles were selected according to eligibility criteria, and the findings were synthesized according to the socio-economic status of the countries identified: Australia, the Republic of Korea, the Philippines, Vietnam, the Pacific Islands (broadly), and China. The findings revealed that each country and sub-region has its own unique profile of climate change-related challenges and vulnerable populations, highlighting the need for specific approaches to mental health care. Specifically, the influence of climate-related challenges differed according to populations’ region (e.g., rural populations), demographic characteristics (e.g., age and gender), culture (e.g., traditional tights to land), and employment (e.g., farmers and fishers). The most frequently reported mental health outcomes in response to climate change-related challenges such as droughts, floods, storms, tornadoes, typhoons, and climate-related migration were the decline in mental well-being and the increase in post-traumatic stress disorder symptoms. In addition, using the GRADE framework for assessing the certainty of the findings, we identified that the number of articles discussing associations between a given climate change challenge and a mental health outcome was overall limited. Based on our findings and findings on a global scale, we identified several key research gaps in WPR and provided recommendations for future research and policy strategies.
Global warming contributes to the widespread spread of some of the main vectors of natural-focal infections. Ixodid ticks can inhabit large numbers both in woodlands and in meadow and pasture areas. Recent decades have seen a shift in the habitats of many parasites to the northern regions, which contributes to the survival and reproduction of not only the vectors themselves but also to the completion of the development cycle of ticks. The growth of the population size and duration of the spring-autumn period of tick activity increases the period of the epidemic season. The epidemiological situation is complicated by the persistence and almost constant activity of natural foci of arthropod-borne infections. Weather conditions, precipitation, humidity (relative humidity of at least 85%), and air temperature affect the life cycle and range of ixodid ticks. These factors make a certain contribution to geographical expansion due to changes in the habitats of vegetation and carriers in the wild (animals, birds, and rodents), which carry ticks to new territories. The northern border of the area of ixodid infections – viral tick-borne encephalitis and ixodid borreliosis – lies now beyond the borders of the Arctic. However, there is evidence of a possible movement of these boundaries to the north, so the southern part of the Arctic region may fall into the zone of potential risk of transmission of these infections.
This study inspects the impact of environmental deterioration and income on longevity and fertility in Asian countries, specifically the nations that are highly vulnerable to extreme weather. The study examines the data, covering two decades from 2000 to 2019. The empirical conclusions of the panel ARDL-PMG and the CS-ARDL econometric models indicate that environmental degradation leads to a decline in birth rate and life expectancy, while a rising income has a significant influence over longevity. However, increasing per capita income alone cannot solve the problem of population crisis in climatically susceptible countries. Therefore, the sample countries must prioritize climate action and formulate climate-resilient policies to add more years to the lives of their citizens. Similarly, for increasing childbirth the sample nations need to make peace with nature. The outcomes of this study are strong enough, as both the models support each other’s findings, producing similar significant outcomes.
This study investigates the impact of environmental factors on human health, including harmful substances, extreme temperatures, and air quality. The health status of the population in regions where many industries operate also depends on meteorological factors. The purpose of the study is to characterize and determine the influence of environmental factors (humidity, temperature, wind) and industries, including metal mining and processing regions, on the health of people in the Aktobe region, Republic of Kazakhstan. The study used general theoretical methods to analyze and systematize the results of the meteorological service of the Aktobe region and the experiments conducted by the branch of the National Centre of Expertise of the Committee of Sanitary and Epidemiological Control of the Ministry of Healthcare of the Republic of Kazakhstan for the Aktobe region in 2020 and 2021. Statistical data on the amount of chromium, lead, and nickel in the blood, and the morbidity rate of the population were analyzed. The study’s findings indicate that residents in the Aktobe region experience hypothermia during winter at temperatures between -12 °C and -15 °C and humidity of 81%, and in summer overheating occurs at temperatures between +19.6 °C and +22.5 °C with humidity of 77%. These extreme temperature conditions disrupt the body’s heat exchange with the environment, affecting the respiratory and circulatory systems. Moreover, the predominantly windless conditions in the region affect the atmosphere’s self-cleaning ability, resulting in high levels of air pollution throughout the year. The findings can inform strategies to improve public health and prevent diseases in industrial regions. Integr Environ Assess Manag 2023;00:1-10. © 2023 SETAC.
With the increasing severity of the malignant tumors situation worldwide, the impacts of climate on them are receiving increasing attention. In this study, for the first time, all-malignant tumors were used as the dependent variable and absolute humidity (AH) was innovatively introduced into the independent variable to investigate the relationship between all-malignant tumors and meteorological factors. A total of 42,188 cases of malignant tumor deaths and meteorological factors in Wuhu City were collected over a 7-year (2014-2020) period. The analysis method combines distributed lagged nonlinear modeling (DLNM) as well as generalized additive modeling (GAM), with prior pre-analysis using structural equation modeling (SEM). The results showed that AH, temperature mean (T mean) and diurnal temperature range (DTR) all increased the malignant tumors mortality risk. Exposure to low and exceedingly low AH increases the malignant tumors mortality risk with maximum RR values of 1.008 (95% CI: 1.001, 1.015, lag 3) and 1.016 (95% CI: 1.001, 1.032, lag 1), respectively. In addition, low and exceedingly low T mean exposures also increased the risk of malignant tumors mortality, the maximum RR was 1.020 (95% CI: 1.006, 1.034) for low T mean and 1.035 (95% CI: 1.014, 1.058) for exceedingly low T mean. As for DTR, all four levels (exceedingly low, low, high, exceedingly high, from low to high) of exposure increased the risk of death from malignant tumors, from exceedingly low to exceedingly high maximum RR values of 1.018 (95% CI: 1.004, 1.032), 1.011 (95% CI: 1.005, 1.017), 1.006 (95% CI: 1.001, 1.012) and 1.019 (95% CI: 1.007, 1.031), respectively. The results of the stratified analysis suggested that female appear to be more sensitive to humidity, while male require additional attention to reduce exposure to high level of DTR.
Particulate pollution from forest fire smoke threatens the health of communities by increasing the occurrence of respiratory illnesses. Wind drives both fire behaviour and smoke dispersal. Understanding regional wind patterns would assist in effectively managing smoke risk. Sydney, Australia is prone to smoke pollution because it has a large population close to fire-prone eucalypt forests. Here we use the self-organising maps (SOM) technique to identify sixteen unique wind classes for the Sydney region from days with active fires, including identifying sea breeze occurrence. We explored differences in PM(2.5) levels between classes and between hazard reduction burning (HRB) and wildfire days. For HRB days, classes with the highest PM(2.5) mostly had a sea breeze, whereas better air quality days usually had winds aligned across the region (e.g. all westerly). The wind class with the most HRB days had low wind speeds and a sea breeze and was among the worst wind classes for air quality. For wildfire days, days with a sea breeze were also generally of poor air quality but many classes had at least some poor air quality days, most of which were during the 2019-2020 east coast wildfires in New South Wales. Some poor air quality days occurred in wind classes that sent strong plumes directly over air quality stations, spread smoke over a wide area or transported smoke from outside the region. The classes identified may be useful in scheduling HRBs, for example, identifying days with low pollution risk to conduct an HRB, or for assisting in understanding pollution risk and sending health warnings during HRBs and wildfires. Further development of the approach may allow the creation of multi-day classifications for fire managers to plan HRB ignitions over several days to ensure better smoke dispersal. Further research could incorporate other weather predictors or focus on other regions.
The coronavirus (COVID-19) pandemic has affected not only populations around the world but also the environment and natural resources. Lockdowns and restricted lifestyles have had wide-ranging impacts on the environment (e.g., air quality in cities). Although hygiene and disinfection procedures and precautions are effective ways to protect people from COVID-19, they have significant consequences for water usage and resources especially given the increasing impacts of climate change on rainfall patterns, water use and resources. Climate change and public health issues may compound one another, and so we used a drivers, pressures, state, impact, response framework (not previously used to examine the actual and potential impacts of COVID-19 and climate change on water consumption and resources) to scope the main factors that may interact to affect water use and resources (in the form of reservoirs) using evidence from Istanbul, Türkiye, with some discussion of the comparative situation elsewhere. We modified initial views on the framework to account for the regional, city and community level experiences. We note that water consumption in Istanbul has been increasing over the last two decades (except in times of very low rainfall/drought); that there were increases in water consumption in the early stages of the COVID-19 pandemic; and, despite some increase in rainfall, water levels in reservoirs appeared to decrease during lockdowns (for a range of reasons). Through a new simple way of visualising the data, we also noted that a low resource capacity might be recurring every 6 or 7 years in Istanbul (a similar finding to Thames Reservoir in London). We made no attempt in this paper to quantify the relative contribution that climate change, population growth, etc., are making to water consumption and reservoir levels as we focused on looking at those social, environmental and economic factors that appear to play a role in potential water stress and on developing a drivers, pressures, state, impact, response framework for policy and adaptive management options for Istanbul and other large complex conurbations. If there are periodic water resource issues and temperatures rise as expected in climate projections with an accompanying increase in the duration of hot spells, the subsequent additional stress on water systems might make managing future public health emergencies, such as a pandemic, even more difficult.
The world’s weather is constantly shifting and increasingly unpredictable. Climate change was also shown to influence human health and both soil and gut microbiome. These changes may also affect the human aging process, which is connected to multidimensional aspects ranging from health, economy, and psychology. As a result, the purpose of this review is to examine the relationship between aging, gut microbiota, and climate change. This discussion aims to increase awareness of the inevitable change in aging physiology and gut microbiota composition that is caused by climate change by tying together the environmental and clinical health elements. This review will also support the evidence for the link between environmental problems and public health problems. The main findings of this review found that human aging and gut microbiota had a bidirectional relationship. The change in one matter influences the other, which may be instigated by climate change. Moreover, climate change also influences the soil microbiome, which is indirectly related to the quality of the crops that will further act as nutritional factors that shift the composition of human gut microbiota. Various modulation mechanisms of gut microbiota in aging domains were also explored. The review was concluded by proposing a model and underlining some implications that need to be further addressed.
This paper explores the relationship between human health and energy technologies, with a focus on how energy technology needs to adapt to new health challenges. The authors examine how a clean, affordable, and reliable energy infrastructure is critical for mitigating the impact of future pandemics. They also look at how increasing the proportion of solar and wind energy can create a near-zero emission energy system that is independent of fuel supply and its associated environmental problems. However, to ensure system resilience, significant investments in energy storage and smart control systems are necessary. For instance, the pandemic led to around 5% increase in US residential sector electricity consumption share in 2020 compared to 2019 due to stay-at-home orders, which could impact grid reliability and resiliency. This work also highlights the importance of designing energy -efficient and low-cost cooling and heating technologies for residential buildings to protect vulnerable populations from the health consequences of rising temperatures due to climate change. Additionally, the growing number of refugees worldwide and the need for efficient portable power sources in refugee camps are also addressed. The authors demonstrate how pandemics like COVID-19 can have far-reaching effects on energy technologies, from household energy use to large energy companies, and result in energy insecurity and decreased quality of life for many. (c) 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Gender-based violence (GBV) is a global public health and human rights problem that is exacerbated by social and environmental stressors for a multitude of interpersonal, cultural, and economic reasons. Through sudden disruptions in the microclimate of a region, climate shocks often have a negative impact on food security, which correlates with increases in GBV. Associations between the various combinations of GBV, climate change, and food insecurity have been documented in the growing international literature, but questions remain about these associations that require further clarification. The impact of the COVID-19 pandemic caused by SARS-CoV-2 provides insight through a real time demonstration into these interactions. This review of the global literature examines the interplay between GBV, climate change, and food insecurity-including recent literature regarding the COVID-19 pandemic. This review covers original research studies employing both quantitative and qualitative methodology, those that conducted secondary analyses of existing data sources and perspective pieces derived from observed evidence. An additional analytic layer of system dynamics modeling allowed for the integration of findings from the scoping review and discovery of additional insights into the interplay between disasters, food insecurity, and GBV. Findings from this review suggest that the development and adaptation of evidence-based, focused interventions and policies to reduce the effects of climate shocks and bolster food security may ultimately decrease GBV prevalence and impact.
During the 2021 Heat Dome, 619 people in British Columbia died due to the heat. This public health disaster was made worse by the ongoing COVID-19 pandemic. Few studies have explored the intersection of heat with COVID-19, and none in Canada. Considering that climate change is expected to increase the frequency of extreme heat events, it is important to improve our understanding of intersecting public health crises. Thus, this study aimed to explore media-based public health communication in Canada during the COVID-19 pandemic and the 2021 Heat Dome. A qualitative content analysis was conducted on a subset of media articles (n = 520) related to the COVID-19 pandemic which were identified through a previous media analysis on the 2021 Heat Dome (n = 2909). Many of the articles provided conflicting health messages that may have confused the public about which health protective actions to take. The articles also showed how the COVID-19 pandemic may have exacerbated the health impacts of the 2021 Heat Dome, as pandemic-related public health measures may have deterred people away from protecting themselves from heat. This study, which provides novel insight into the prioritization of public health messaging when an extreme heat event occurs concurrently with a pandemic, supports the need for consistent heat health guidance.
BACKGROUND: The ongoing climate change will elevate the incidence of diarrheal in 2030-2050 in Asia, including Taiwan. This study investigated associations between meteorological factors (temperature, precipitation) and burden of age-cause-specific diarrheal diseases in six regions of Taiwan using 13 years of (2004-2016) population-based data. METHODS: Weekly cause-specific diarrheal and meteorological data were obtained from 2004 to 2016. We used distributed lag non-linear model to assess age (under five, all age) and cause-specific (viral, bacterial) diarrheal disease burden associated with extreme high (99th percentile) and low (5th percentile) of climate variables up to lag 8 weeks in six regions of Taiwan. Random-effects meta-analysis was used to pool these region-specific estimates. RESULTS: Extreme low temperature (15.30 °C) was associated with risks of all-infectious and viral diarrhea, with the highest risk for all-infectious diarrheal found at lag 8 weeks among all age [Relative Risk (RR): 1.44; 95 % Confidence Interval (95 % CI): 1.24-1.67]. The highest risk of viral diarrheal infection was observed at lag 2 weeks regardless the age. Extreme high temperature (30.18 °C) was associated with risk of bacterial diarrheal among all age (RR: 1.07; 95 % CI: 1.02-1.13) at lag 8 weeks. Likewise, extreme high precipitation (290 mm) was associated with all infectious diarrheal, with the highest risk observed for bacterial diarrheal among population under five years (RR: 2.77; 95 % CI: 1.60-4.79) at lag 8 weeks. Extreme low precipitation (0 mm) was associated with viral diarrheal in all age at lag 1 week (RR: 1.08; 95 % CI: 1.01-1.15)]. CONCLUSION: In Taiwan, extreme low temperature is associated with an increased burden of viral diarrheal, while extreme high temperature and precipitation elevated burden of bacterial diarrheal. This distinction in cause-specific and climate-hazard specific diarrheal disease burden underscore the importance of incorporating differences in public health preparedness measures designed to enhance community resilience against climate change.
Climate change increases the frequency of extreme climate events and impacts the economy and the society in a negative way. As typical climate events, temperature anomalies affect individual health and working conditions, particularly for industries that depend heavily on temperatures. Using a research setting of Chinese temperature-sensitive enterprises, we analyze the impact of temperature on labor productivity. The findings indicate an inverse U-shaped relationship between temperature and labor productivity, with labor productivity peaking at 24.90 & DEG;C on average. Further analysis shows that labor productivity peaks in the eastern regions at a higher level (26.25 & DEG;C) than in the central and western regions (20 & DEG;C). Moreover, we note that technological innovation is crucial for enterprises to manage climate risks and maintain effective labor productivity. This study provides empirical evidence on the relationship between environmental risk and corporate operations, shedding light on the significance of corporate sustainable development against accelerating global climate change.
Climate change is a global threat to public health and causes or worsens various diseases including atopic dermatitis (AD), allergic, infectious, cardiovascular diseases, physical injuries, and mental disorders. The incidence of allergy, such as AD, has increased over the past several decades, and environmental factors such as climate change have been implicated as a potential mechanism. A substantial amount of literature has been published on the impact of climate factors, including cold and hot temperatures, on the skin barrier and AD. Studies in several countries have found a greater incidence of AD in children born in the colder seasons of fall and winter. The effect of cold and warm temperatures on itch, skin flares, increased outpatient visits, skin barrier dysfunction, development of AD, and asthma exacerbations have been reported. Understanding mechanisms by which changes in temperature influence allergies is critical to the development of measures for the prevention and treatment of allergic disorders, such as AD and asthma. Low and high temperatures induce the production of proinflammatory cytokines and lipid mediators such as interleukin-1β, thymic stromal lymphopoietin, and prostaglandin E2, and cause itch and flares by activation of TRPVs such as TRPV1, TRPV3, and TRPV4. TRPV antagonists may attenuate temperature-mediated itch, skin barrier dysfunction, and exacerbation of AD.
With the increase of people’s living space, global warming caused by the decrease of greening urban spaces and the serious decline of greenspace quality has led to extreme weather events and coastal erosion, which has become the biggest threat to the ocean and has also led to the occurrence of international public safety incidents. Therefore, it is of great practical significance to explore the tense relationship between the current marine environmental protection and global public safety for the development of an international healthy community. Firstly, this paper discusses the influence of implementing the international law of marine environmental protection on global public health after the reduction of green urban space and the decline of green space quality. Secondly, K-means and discrete particle swarm optimization algorithms are introduced and the particle swarm optimization-K-means clustering (PSO-K-means) algorithm is designed to screen and deal with the mapping relationship between latent variables and word sets about the impact of implementing the international marine ecological protection law on the international public health community in network data information. Moreover, the influencing factors are clustered and the scenarios are evaluated. The results show that the clustering analysis of the marine environment can promote the clustering of marine characteristic words. Meanwhile, the PSO-K-means algorithm can effectively cluster vulnerability data information. When the threshold is 0.45, the estimated recall rate of the corresponding model is 88.75%. Therefore, the following measures have been formulated, that is, increasing greening urban spaces and enhancing the quality of green space to enhance the protection of marine environment, which has practical reference value for realizing the protection of marine environment and the sustainable development of marine water resources and land resources.
PURPOSE: Previous studies showed that unfavourable weather conditions discourage physical activity. However, it remains unclear whether unfavourable weather conditions have a differential impact on physical activity in children compared with adults. We aim to explore the differential impact of weather on time allocation to physical activity and sleep by children and their parents. METHOD: We use nationally representative data with time use indicators objectively measured on multiple occasions for >1100 Australian pairs of 12-13-year-old children and their middle-aged parents, coupled with daily meteorological data. We employ an individual fixed effects regression model to estimate the causal impact of weather. RESULTS: We find that unfavourable weather conditions, as measured by cold or hot temperatures or rain, cause children to reduce moderate- and vigorous-intensity physical activity time and increase sedentary time. However, such weather conditions have little impact on children’s sleep time or the time allocation of their parents. We also find substantial differential weather impact, especially on children’s time allocation, by weekdays/weekends and parental employment status, suggesting that these factors may contribute to explaining the differential weather impact that we observed. Our results additionally provide evidence of adaptation, as temperature appears to have a more pronounced impact on time allocation in colder months and colder regions. CONCLUSION: Our finding of a negative impact of unfavourable weather conditions on the time allocated to physical activity by children indicates a need to design policies to encourage them to be more physically active on days with unfavourable weather conditions and hence improve child health and wellbeing. Evidence of a more pronounced and negative impact on the time allocated to physical activity by children than their parents suggests that extreme weather conditions, including those associated with climate change, could make children vulnerable to reduced physical activity.
BACKGROUND: Northern Finland, like the rest of the Arctic, has experienced increases in mean annual temperature, the number of winter rains, the number of thaw-freeze days, the number of extremely warm weather events, and a shortened snow season. These changes have produced numerous problems for reindeer herders whose livelihoods rely on a healthy ecosystem with predictable weather patterns. METHODS: We performed a scoping literature review to assess how climate change induced extreme weather has negatively impacted reindeer herding as well as the health and wellbeing of reindeer herders. RESULTS: Late snow cover negatively impacts reindeer herding through a more widely dispersed herd that increases the work to gather reindeer, leads to reduced calf weight, and results in less meat for sale. This increased labor, especially in extreme cold conditions, can also negatively impact reindeer herder health. Icing due to thaw-freeze and rain-on-snow events makes it impossible for reindeer to dig through the snow to access lichens, increasing the need for reindeer herders to keep the herd in winter enclosures and provide supplemental feed. CONCLUSION: Climate change induced weather events such as late snow cover and icing increase reindeer herder efforts and expenses, put their livelihood at risk, and put their health at risk.
The disparate health consequences of climate change and migration have been separately explored, and the gendered impacts of climate change have been previously established. Nonetheless, there is limited research on the specific nexus of climate change-migration-sexual and reproductive health (SRH). This chapter reviews specific vulnerabilities faced by women and infants throughout the perinatal period, and how these are affected by climate change-induced migration in different migratory contexts. The available literature refers to antenatal and postnatal care utilization, access to water, sanitation, and hygiene facilities, childbirth and delivery challenges, and infant feeding barriers, amongst other concerns. The discussion explored in this chapter highlights the need to develop disaster frameworks that reflect the heterogeneity of outcomes related to specific and unique climate migration contexts.
BACKGROUND: The impacts of heatwaves are a rapidly growing area of study; however, much of the existing research focusses on national data analysis. This article aims to add a local perspective using data from only one county, East Sussex, and comparing these with the pre-existing national data. METHODS: Population data were obtained from publicly available sources such as the Office of National Statistics, in addition to anonymized data from patients. Statistical analysis calculated excess mortality and emergency hospital admissions associated with both winter and heatwaves. Further analyses into factors associated with worse health outcomes in pre-existing data, such as the extremes of age (under 1 s and over 75 s), dementia and respiratory conditions, were conducted and their effect on excess mortality and emergency admissions was compared with national data. RESULTS: Excess winter mortality within East Sussex averaged 22.5%. Excess heatwave mortality averaged 17%, measuring higher than national data. The relative significance of these data is expected to increase over the next 30 years in line with the UK Health Security Agency projection of heat-related mortality tripling by 2050 in the context of global warming and increasing temperatures. CONCLUSIONS: Although the number of residents dying or requiring emergency admission due to cold weather is larger than that of heatwaves, trends show a worsening impact of heatwaves. The results of this report are significant findings which show more action is required to mitigate the effects of extreme heat.
Ticks are obligatory hematophagous parasites that serve as vectors for a large amount of important human and livestock pathogens around the world, and their distribution and incidence of tick-associated diseases are currently increasing because of environmental biomass being modified by both climate change and other human activities. Hyalomma species are of major concern for public health, due to their important role as vectors of several diseases such as the Crimea-Congo hemorrhagic fever (CCHF) virus in humans or theileriosis in cattle. Characterizing the Hyalomma-associated microbiota and delving into the complex interactions between ticks and their bacterial endosymbionts for host survival, development, and pathogen transmission are fundamental, as it may provide new insights and spawn new paradigms to control tick-borne diseases. Francisella-like endosymbionts (FLEs) have recently gained importance, not only as a consequence of the public health concerns of the highly transmissible Francisella tularensis, but for the essential role of FLEs in tick homeostasis. In this comprehensive review, we discuss the growing importance of ticks associated with the genus Hyalomma, their associated tick-borne human and animal diseases in the era of climate change, as well as the role of the microbiome and the FLE in their ecology. We compile current evidence from around the world on FLEs in Hyalomma species and examine the impact of new molecular techniques in the study of tick microbiomes (both in research and in clinical practice). Lastly, we also discuss different endosymbiont-directed strategies for the control of tick populations and tick-borne diseases, providing insights into new evidence-based opportunities for the future.
Asthma, the second leading cause of death from chronic respiratory diseases, is associated with climate change, especially temperature changes. It is currently unclear about the relationship between long-term temperature variability and the incidence of asthma on a global scale. METHODS: We used asthma incidence, demographic and socioeconomic data from the Global Burden of Disease (GBD) Results Database, and environmental and geographical statistics from TerraClimate between 1990 and 2019 to determine the association between maximum temperature variability and asthma incidence. We also predicted the incidence of heat-related asthma in the future (2020-2100) under four shared socioeconomic pathways (SSPs: 126, 245, 370, and 585). RESULTS: Between 1990 and 2019, the global median incidence of asthma was 402.0 per 100,000 with a higher incidence (median: 1380.3 per 100,000) in children under 10 years old. We found that every 1 °C increase in maximum temperature variability increased the risk of asthma globally by 5.0 %, and the effect was robust for individuals living in high-latitude areas or aged from 50 to 70 years. By 2100, the average incidence of asthma is estimated to be reduced by 95.55 %, 79.32 %, and 40.02 % under the SSP126, SSP245, and SSP370 scenarios, respectively, compared to the SSP585 at latitudes >60°. CONCLUSION: Our study provides evidence that maximum temperature variability is associated with asthma incidence. These findings suggest that implementing stricter mitigation and adaptation strategies may be importment in reducing asthma cases caused by climate change.
Autoimmunity is characterized by self-reactive immune components and autoimmune disease by autoimmunity plus pathology. Both autoimmunity and autoimmune diseases are dramatically increasing in many parts of the world, likely as a result of changes in our exposures to environmental factors. Current evidence implicates the momentous alterations in our foods, xenobiotics, air pollution, infections, personal lifestyles, stress, and climate change as causes for these increases. Autoimmune diseases have a major impact on the individuals and families they affect, as well as on our society and healthcare costs, and current projections suggest they may soon take their place among the predominant medical disorders. This necessitates that we increase the scope and scale of our efforts, and coordinate our resources and studies, to understand autoimmune disease risk factors and pathogeneses and improve our diagnostic, therapeutic, and preventive approaches, as the costs of inaction will be profound and far greater without such investments.
OBJECTIVE: The consequences of climate change on health care systems as well as the individual involvement in climate change has not been a focus of the study of human medicine. Therefore, the lecture and practical course medical ecology have been reorganized to reflect the increasing importance of this topic. In order to be available to all students, this course was included in the core curriculum of the first year of study in human medicine. METHODOLOGY: The teaching concept is based on the method “multidimensional learning”. The theoretical examination of environmental changes, especially climate change, is placed at the starting point within the framework of a lecture, followed by the translation of theoretical principles into practical knowledge by calculating the ecological footprint and subsequent reflection on the newly learned content. The project was evaluated by means of a self-constructed course evaluation instrument (three feedback questions) and an internal university online tool. RESULTS: 656 students (100%) described the most important knowledge they gained in the course. One third of the students (N=218) indicate that they would like to participate in a more advanced seminar. 137 students comment on specific aspects. Overall, students express great interest in the topic of medical ecology. They reflect in a remarkably (self-)critical way on the individual contribution to climate change and can clearly name the health consequences of climate change. The contents should be expanded in a more in-depth seminar. CONCLUSION: The concept of the course has proven to be purposeful in order to prepare relevant and complex contents of medical ecology in an understandable way. Both lecture and practical course should be further developed accordingly.
We estimate the impact of temperature extremes on mortality in Vietnam, using daily data on temperatures and monthly data on mortality during the 2000-2018 period. We find that both cold and heat waves cause higher mortality, particularly among older people and those living in the hot regions in Southern Vietnam. This effect on mortality tends to be smaller in provinces with higher rates of air-conditioning and emigration, and provinces with higher public spending on health. Finally, we estimate economic cost of cold and heat waves using a framework of willingness to pay to avoid deaths, then project the cost to the year 2100 under different Representative Concentration Pathway scenarios.
The relationship between heat exposure and perinatal morbidity and mortality is of increasing concern as global temperatures rise and extreme heat events become more frequent and intense. Heat exposure can lead to a multitude of harmful outcomes for pregnant individuals and neonates, including hospitalization and death. This state of the science review explored the evidence on the associations between heat exposure and negative health outcomes during pregnancy and the neonatal period. Findings suggest that improving health care provider and patient awareness of heat-related risks and implementing specific interventions could mitigate adverse outcomes. Furthermore, public health and other policy interventions are needed to increase thermal comfort and reduce societal exposure to extreme heat and related risks. Early warning systems, medical alerts, provider and patient education, and increased access to health care and thermal comfort may improve pregnancy and early life health outcomes.
The U.S. Global Change Research Program reports that the frequency and intensity of extreme heat are increasing globally. Studies of the impact of climate change on child health often exclude sleep, despite its importance for healthy growth and development. To address this gap in the literature, we studied the impact of unusually high temperatures in the summer of 2022 on infants’ sleep. Sleep was assessed objectively using Nanit camera monitors in infants’ homes. Generally, sleep was not impacted when temperatures stayed below 88° but was negatively impacted when temperatures reached over 100°. Compared to non-heatwave nights, infants had less total sleep, less efficient sleep, took longer to fall asleep, had more fragmented sleep, and parents’ visits were more frequent during the night. Following peaks in temperature, sleep metrics rebounded to better than average compared to non-peak nights, suggesting that infants compensated for disrupted sleep by sleeping more and with fewer interruptions once the temperature dropped below 85°. Increased instances of disrupted sleep in infancy have important implications for psychological health and development. Climate disruptions such as heat waves that create occasional or ongoing sleep disruptions can leave infants vulnerable and unprepared for learning.
INTRODUCTION: The psychosocial impacts of extreme weather events are contributing to the burden of mental illness, exacerbated by pre-existing vulnerabilities. Despite an emerging global interest in this association, Africa remains poorly represented in the literature. METHODS: A scoping review of peer-reviewed studies was conducted to determine the adverse mental health outcomes associated with extreme weather events in Africa (2008-2021). The review was conducted in line with the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR). RESULTS: A total of 12,204 peer-reviewed articles were identified of which 12 were retained for analysis. These studies were all conducted in 8 countries in Sub-Saharan Africa. Adverse mental health outcomes were identified resulting from flood (n = 4), drought (n = 4), extreme heat (n = 1), bushfire (n = 1), and multiple events (n = 2). Findings included pathological outcomes with predictable symptomatology including mood disorders; trauma- and stressor-related disorders; and suicide. Additionally, conditions indicating psychological distress which were below the pathological threshold including emotion regulation difficulties, disturbed sleep, alcohol use, stress, and anxiety. The quantitative evidence for the association between extreme weather events and mental health was limited primarily by a lack of longitudinal data, exposure gradient, and comparison to an unaffected group, as well as a failure to provide an objective exposure measure. The qualitative evidence for this association was complimentary but without sufficient clinical measurement these outcomes cannot be verified as psychological morbidities. In addition, this review provided insight into the mental health of vulnerable communities affected by extreme weather events including those living in poverty, farmers, pastoralists, women, and children. CONCLUSION: This review provided some preliminary evidence for the association between extreme weather events and adverse mental health outcomes for populations in Africa. The review also provides insight to vulnerable populations affected by extreme weather events. Future research with stronger designs and methodologies are recommended.
In this study, Vibrio parahaemolyticus strains were collected from a large number of aquatic products globally and found that temperature has an impact on the virulence of these bacteria. As global temperatures rise, mutations in a gene marker called thermolabile hemolysin (tlh) also increase. This suggests that environmental isolates adapt to the warming environment and become more pathogenic. The findings can help in developing tools to analyze and monitor these bacteria as well as assess any link between climate change and vibrio-associated diseases, which could be used for forecasting outbreaks associated with them.
In Indonesia, 12% or 3 million married couples suffer from infertility, with 36% of cases caused by male factors. Heat exposure, obesity, and lack of physical activity can decrease sperm quality by inducing oxidative stress and inflammation and altering the hypothalamic-pituitary-gonadal axis mechanisms. This study investigated the impact of heat exposure, obesity, and physical activity on sperm quality. This study employed an analytical observational design with a cross-sectional approach, conducted at the Sekar Fertility Clinic, Dr. Moewardi General Hospital. Sixty samples were analyzed using bivariate, multivariate, and chi 2 tests or Fisher exact test with a 95% confidence interval and p<0.05. Exposure to heat was found to increase the risk of low-sperm concentration by 74.09 times (p=0.001), obesity increased the risk of low-sperm concentration by 16.74 times (p=0.013), and low-sperm motility by 6.12 times (p=0.014), and lack of physical activity increased the risk of low-sperm concentration by 27.23 times (p=0.033). Heat exposure, obesity, and physical inactivity are associated with low-sperm concentration, and obesity is also associated with low-sperm motility.
Climate change affects human health and has been linked to several infectious diseases in recent year. However, there is limited assessment on the impact of heat waves and cold spells on pneumonia risk. This study aims to examine the association of heat waves and cold spells with daily pneumonia hospitalizations in 168 cities in China. Data on pneumonia hospitalizations between 2014 and 2017 were extracted from a national claim database of 280 million beneficiaries. We consider combining temperature intensity and duration to define heat waves and cold spells.This association was quantified using a quasi-Poisson generalized linear model combined with a distributed lag nonlinear model. Exposure-response curves and potential effect modifiers were also estimated. We found that the peak relative risk (RR) of cold spells on daily hospitalizations for pneumonia was observed in relatively mild cold spells with a threshold below the 3 days at the 2nd percentile (RR = 1.69, 95% CI: 1.46-1.92). The risk of heat waves increased with the thresholds, and the greatest risk was found for extremely heatwave period of 4 days at the 98th percentile (RR = 1.69, 95% CI: 1.46-1.92). Heat waves and cold spells are more likely to adversely affect women. In conclusion, our study provided novel and strong evidence that exposure to heat waves and cold spells was associate with increased hospital visits for pneumonia, especially in females. This is the first national study in China to comprehensively evaluate the influence of heat waves and cold spells on pneumonia risk, and the findings may offer valuable insights into the impact of climate change on public health.
BACKGROUND: Heat waves significantly impact ecosystems and human health, especially that of vulnerable populations, and are associated with increased morbidity and mortality. Besides being directly related to climate-sensitive health outcomes, heat waves have indirectly increased the burden on our health care systems. Although the existing literature examines the impact of heat waves and morbidity, past research has mostly been conducted in high-income countries (HICs), and studies on the impact of heat waves on morbidity in low- or middle-income countries (LMICs) are still scarce. OBJECTIVE: This paper presents the protocol for a systematic review that aims to provide evidence of the impact of heat waves on health care services in LMICs. METHODS: We will identify peer-reviewed studies from 3 online databases, including the Web of Science, PubMed, and SCOPUS, published from January 2002 to April 2023, using the PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) guidelines. Quality assessment will be conducted using the Navigation Guide checklist. Key search terms include heatwaves, extreme heat, hospitalization, outpatient visit, burden, health services, and morbidity. RESULTS: This systematic review will provide insight into the impact of heat waves on health care services in LMICs, especially on emergency department visits, ambulance call-outs, hospital admissions, outpatient department visits, in-hospital mortality, and health care operational costs. CONCLUSIONS: The results of this review are anticipated to help policymakers and key stakeholders obtain a better understanding of the impact of heat waves on health care services and prioritize investments to mitigate the effects of heat waves in LMICs. This entails creating a comprehensive heat wave plan and ensuring that adequate infrastructure, capacity, and human resources are allocated in the health care sector. These measures will undoubtedly contribute to the development of resilience in health care systems and hence protect the health and well-being of individuals and communities. TRIAL REGISTRATION: PROSPERO CRD42022365471; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=365471. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/44702.
Many studies had shown that with global warming, heat waves may increase the mortality risk of Chinese populations. However, these findings are not consistent. Therefore, we elucidated the associations by meta-analysis and quantified the magnitude of these risks, as well as the underlying factors. METHODS: We searched the China National Knowledge Infrastructure (CNKI), Wanfang database, PubMed, EMBASE, and Web of Science for literature screening up to Nov 10, 2022, to analyze the effect of heat waves on mortality in the Chinese population. Literature screening and data extraction were performed independently by two researchers and the data were merged by meta-analysis. In addition, we conducted subgroup analysis by sex, age, years of education, region, and number of events to explore the source of heterogeneity. RESULTS: Fifteen related studies on the impact on heat waves of the death of Chinese people were included in this study. The results of the meta-analysis showed that heat waves were significantly associated with increased mortality from non-accidental deaths, cardiovascular diseases, stroke, respiratory diseases, and circulatory diseases in the Chinese population: non-accidental mortality (RR = 1.19, 95% CI: 1.13-1.27, P < .01), cardiovascular diseases (RR = 1.25, 95% CI: 1.14-1.38), stroke (RR = 1.11, 95% CI: 1.03-1.20), respiratory diseases (RR = 1.18, 95% CI: 1.09-1.28), and circulatory diseases (RR = 1.11, 95% CI: 1.06-1.17). Subgroup analyses showed that heat waves had a higher risk of non-accidental death for those with <6 years of education than for those with ≥6 years of education. Meta-regression analysis showed that the contribution of the study year to the inter studied heterogeneity was 50.57%. The sensitivity analysis showed that the exclusion of any single study did not materially alter the overall combined effect. The meta-analysis method indicated no obvious evidence of publication bias. CONCLUSIONS: The results of the review indicated that heat waves were associated with increased mortality in the Chinese population, that attention should be paid to high-risk groups, and that public health policies and strategies should be implemented to more effectively respond to and adapt to climate change.
Climate change increases the likelihood of heatwave events, causing human thermal discomfort and even mortality. However, it is not clear to what extent humans with long-term and short-term experience of hot summer exposure can adapt to thermal comfort in urban public open spaces when both experience their heat wave periods. Therefore, this study aims to investigate outdoor perceived thermal comfort in urban public open spaces during heatwave periods between two groups of people who have long-term and short-term experience of hot-summer exposure. Field surveys were conducted in public squares and parks during the heatwaves in Chongqing, China and Reading, the UK. Chongqing is known as a ‘furnace city’ and people have been living in a hot summer for a long time, while in Reading the summer is warm and people unusually experience the heat wave. The main results show that Chongqing respondents living in a hot climate for a longer period can endure more heat than Reading respondents during the heatwaves, indicating that Chongqing respondents have more thermal resilience. Besides, different behavioural adaptation measures show that people are active participants to choose their thermal preferences, rather than passive recipients of the thermal environments. The research implication contributes that protective measures against heatwaves need to be taken for pedestrians, including more shaded places with efficient ventilation design for sheltering and handy facilities such as drinking fountains and water spray. The research has novelty in deepening the dynamic theory of human thermal comfort and providing empirical evidence of thermal adaptation in extreme-high temperature events.
As humans expand their territories across more and more regions of the planet, activities such as deforestation, urbanization, tourism, wildlife exploitation, and climate change can have drastic consequences for animal movements and animal-human interactions. These events, especially climate change, can also affect the arthropod vectors that are associated with the animals in these scenarios. As the COVID-19 pandemic and other various significant outbreaks throughout the centuries have demonstrated, when animal patterns and human interactions change, so does the exposure of humans to zoonotic pathogens potentially carried by wildlife. With approximately 60% of emerging human pathogens and around 75% of all emerging infectious diseases being categorized as zoonotic, it is of great importance to examine the impact of human activities on the prevalence and transmission of these infectious agents. A better understanding of the impact of human-related factors on zoonotic disease transmission and prevalence can help drive the preventative measures and containment policies necessary to improve public health.
The meteorological imbalances in Brazil have a strong impact on the lives of the population across the country, especially in the Amazon region. These impacts extend to meteorological phenomena, such as extreme rainfall, droughts, and an increase in temperature in several regions, as well as impacts on health, the economy, and, as the object of this study, the quality of life. This study presents the impact of meteorological changes on the quality of life in the Amazon region, based on (i) the thermal discomfort index (TDI), (ii) the temperature and humidity index (THI), and (iii) the effective temperature index as a function of the wind (TEFW). For this, meteorological data from the years 2003-2021 were used, in which the variables include total precipitation, global radiation, air-dry bulb temperature, the maximum temperature in the previous hour, the minimum temperature in the previous hour, relative humidity, and wind speed. This analysis indicates that for this tropical region, the sensation of mild discomfort was predominant in about 70% of the measurements, indicating a certain level of impact on the population’s quality of life, in addition to the fluctuation of levels of discomfort during periods of winter in that there are high rates of precipitation. The data control was performed with the removal of null data and calculation of monthly and annual averages, by using the compression (average) empty data frames in order to receive the values without losing the indexing of dates. At first, it was considered to use the kriging process to fill in the missing data; however, due to the existence of microclimates in the regions, the data could characterize remote regions in a generalized way, which would make it difficult to understand these data in comparison with the data from the National Institute of Meteorology (INMET, in Portuguese).
Extreme weather events lead to significant adverse societal costs. Extreme Event Attribution (EEA), a methodology that examines how anthropogenic greenhouse gas emissions had changed the occurrence of specific extreme weather events, allows us to quantify the climate change-induced component of these costs. We collect data from all available EEA studies, combine these with data on the socio-economic costs of these events and extrapolate for missing data to arrive at an estimate of the global costs of extreme weather attributable to climate change in the last twenty years. We find that US[Formula: see text] 143 billion per year of the costs of extreme events is attributable to climatic change. The majority (63%), of this is due to human loss of life. Our results suggest that the frequently cited estimates of the economic costs of climate change arrived at by using Integrated Assessment Models may be substantially underestimated.
Cities, as the human habitat of the 21st century, will increasingly face climate change-related risks. Extreme weather events, hot spells, and rising air pollution already have widespread impacts on people, affecting their health and well-being. Urban vegetation is a proposed nature-based solution to address these challenges. However, the equitable distribution of urban vegetation is not always ensured. The study applies two innovative segregation-based inequality indices, recently developed by Schaeffer and Tivadar (2019), which reference to the residential segregation literature as a source of insight for the measurement of environmental inequalities within urban areas. Using high-resolution satellite data and demographic data on a 250 m2 grid level, this study is able to deliver robust evidence on the existence of environmental inequalities with respect to ethnic minorities and urban vegetation. It is observed that minorities consistently experience higher levels of segregation from urban vegetation compared to non-minorities, even when accounting for interactions with wider neighbourhoods. Additionally, the application of a Jackknife simulation provides insights for local policy interventions, mapping hotspots of urban inequalities and provides a solid starting point to tackle these issues on the ground.
Food insecurity has become a growing burden within a global context where climate change, catastrophes, wars, and insurgencies are increasingly prevalent. Several studies have reported an association between suicidal behaviors (i.e., suicide ideation, plans, and attempts) and food insecurity. This meta-analytic review synthesized the available literature to determine the pooled prevalence of suicidal behaviors among individuals experiencing food insecurity, and examined the strength of their association. METHODS: Databases (Ovid, PubMed, Web of Science, and CINAHL) were searched from inception to July 2022 using appropriate search terms. Eligible studies reporting the number/prevalence of suicidal behaviors among individuals experiencing food insecurity or the association between food insecurity and suicidal behaviors were included. The pooled prevalence of suicidal behaviors was determined using the random-effects model. The review was registered with PROSPERO (CRD42022352858). RESULTS: A total of 47 studies comprising 75,346 individuals having experienced food insecurity were included. The pooled prevalence was 22.3 % for suicide ideation (95 % CI: 14.7-29.9; I(2) = 99.6 %, p < 0.001, k = 18), 18.1 % for suicide plans (95 % CI: 7.0-29.1; I(2) = 99.6 %, p < 0.001, k = 4), 17.2 % for suicide attempts (95 % CI: 9.6-24.8; I(2) = 99.9 %, p < 0.001, k = 12), and 4.6 % for unspecified suicidal behavior (95 % CI: 2.8-6.4; I(2) = 85.5 %, p < 0.001, k = 5). There was a positive relationship between experiencing food insecurity and (i) suicide ideation (aOR = 1.049 [95 % CI: 1.046-1.052; I(2) = 99.6 %, p < 0.001, k = 31]), (ii) suicide plans (aOR = 1.480 [95 % CI: 1.465-1.496; I(2) = 99.1 %, p < 0.001, k = 5]), and (iii) unspecified suicide behaviors (aOR = 1.133 [95 % CI: 1.052-1.219; I(2) = 53.0 %, p = 0.047, k = 6]). However, a negative relationship was observed between experiencing food insecurity and suicide attempts (aOR = 0.622 [95 % CI: 0.617-0.627; I(2) = 98.8 %, p < 0.001, k = 15]). The continent and the countries income status where the study was conducted were the common causes of heterogeneity of the differences in the odds of the relationships between experiencing food insecurity and suicidal behaviors - with North America and high-income countries (HICs) having higher odds. For suicide attempts, all non HICs had a negative relationship with food insecurity. LIMITATIONS: There was significant heterogeneity among the included studies. CONCLUSION: There is a high prevalence of suicidal behaviors among individuals experiencing food insecurity. Initiatives to reduce food insecurity would likely be beneficial for mental wellbeing and to mitigate the risk of suicidal behaviors among population experiencing food insecurity. The paradoxical finding of suicide attempts having a negative relationship with food insecurity warrants further research.
Global warming and rapid population growth are two of the most pressing issues in today’s world. There is growing evidence of rising temperatures. The urban heat island effect is a significant environmental issue facing cities today. Although this issue has gained much attention from developed countries, countries in Africa are yet to grapple with it on a significant scale. This paper examined the rising research dimensions and major methodological techniques in studying urban heat effects. The paper adopted a systematic review method where peer-reviewed articles formed the trajectory of debate on Urban Heat Island (UHI) in African cities. The paper finds remote sensing the most common method in analysing UHI effect than ground use technology (weather station), which is limited in spatial spread in most African countries. Urbanization and other human-induced factors majorly contribute to UHI and this has an impact on many elements of life, including morbidity, mortality, birth weight decrease, and social strife. The paper recommends research priority on UHI effect in African cities due to the rising population.
The impacts of climate change and air pollution on respiratory diseases present significant global health challenges. This review aims to investigate the effects of the interactions between these challenges focusing on respiratory diseases. Climate change is predicted to increase the frequency and intensity of extreme weather events amplifying air pollution levels and exacerbating respiratory diseases. Air pollution levels are projected to rise due to ongoing economic growth and population expansion in many areas worldwide, resulting in a greater burden of respiratory diseases. This is especially true among vulnerable populations like children, older adults, and those with pre-existing respiratory disorders. These challenges induce inflammation, create oxidative stress, and impair the immune system function of the lungs. Consequently, public health measures are required to mitigate the effects of climate change and air pollution on respiratory health. The review proposes that reducing greenhouse gas emissions contribute to slowing down climate change and lessening the severity of extreme weather events. Enhancing air quality through regulatory and technological innovations also helps reduce the morbidity of respiratory diseases. Moreover, policies and interventions aimed at improving healthcare access and social support can assist in decreasing the vulnerability of populations to the adverse health effects of air pollution and climate change. In conclusion, there is an urgent need for continuous research, establishment of policies, and public health efforts to tackle the complex and multi-dimensional challenges of climate change, air pollution, and respiratory health. Practical and comprehensive interventions can protect respiratory health and enhance public health outcomes for all.
PURPOSE OF REVIEW: With increasing industrialization, exposure to ambient and wildfire air pollution is projected to increase, necessitating further research to elucidate the complex relationship between exposure and sinonasal disease. This review aims to summarize the role of ambient and wildfire air pollution in chronic rhinosinusitis (CRS) and olfactory dysfunction and provide a perspective on gaps in the literature. RECENT FINDINGS: Based on an emerging body of evidence, exposure to ambient air pollutants is correlated with the development of chronic rhinosinusitis in healthy individuals and increased symptom severity in CRS patients. Studies have also found a robust relationship between long-term exposure to ambient air pollutants and olfactory dysfunction. Ambient air pollution exposure is increasingly recognized to impact the development and sequelae of sinonasal pathophysiology. Given the rising number of wildfire events and worsening impacts of climate change, further study of the impact of wildfire-related air pollution is a crucial emerging field.
Children in England spend around 30% of their time in schools to gain knowledge and skills. Climate change could impact schools’ thermal environments and children’s learning performance by impairing their cognitive ability. This study presents an evaluation approach to investigating and quantifying climate change’s impact on the cognitive performance of children across English school stocks. The study also evaluates the potential of possible strategies for mitigating the impacts of climate change. The results show that future climates are projected to increase cognitive performance loss of children in school archetypes representative of school stocks, with variations based on regional climate characteristics. Increasing ventilation rates proves to be an effective means of reducing cognitive performance loss, while its effectiveness diminishes as outdoor temperatures rise in the future. Thus, the introduction of air conditioning becomes a potentially more beneficial strategy, despite the associated increase in cooling energy demand. Moreover, higher ventilation rates in air-conditioned classrooms can further improve children’s cognitive performance. The use of cognitive performance loss as a Key Performance Indicator (KPI) allows for better communication and understanding of climate change risks faced by schools among building and non-building experts. The proposed evaluation approach remains adjustable and can be continuously updated and enhanced as new insights from psychological research emerge.
Climate change affects many of the documented risk factors for eating disorders (EDs) through direct and indirect pathways, yet to date the research in this area is nonexistent. Our aim is to identify the specific mechanisms through which climate change might be associated with increased risk for EDs, an exacerbation in symptoms, or poor clinical outcomes; highlight limited empirical data addressing these issues; and propose directions for a research program in this important area. Pathways for the impact of climate change on eating disorders and related data were reviewed. Four main pathways for the effects of climate change on EDs were identified including (1) decreased food access and security; (2) changes in mean temperature; (3) concerns related to food safety and eco-anxiety; and (4) indirect pathways through trauma, adversity, and increased mental health concerns. Except for the relationship between increased food insecurity and EDs, these pathways remain largely uninvestigated. Numerous factors may be implicated in the relationship between climate change and EDs. Future work in this area is imperative and should be conducted through a social justice lens with particular attention paid to the global areas most impacted by climate change and related vulnerabilities. Climate change will likely have adverse impacts on individuals with eating disorders and increase the risk for eating disorders. This paper reviews the different ways in which climate change may have these effects and calls for researchers to pay attention to this important area.
OBJECTIVES: To highlight how using the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) approach to understand the certainty in the evidence about the impact of climate change in health outcomes increases transparency. Also, how GRADE can enhance communication and decisions about adaptation and mitigation strategies. STUDY DESIGN AND SETTING: We developed a narrative review based on an assessment of exiting systematic reviews addressing the effect of climate change on health outcomes and the impact of mitigation and adaptation strategies. RESULTS: Adopting structured approaches such as GRADE to tackle the impact of climate change on health may help to (1) define the specific question to be addressed; (2) summarize the evidence in a structured way and assess uncertainty; (3) provide a systematic framework to move from evidence to action and to offer recommendations of different strength; (4) provide a systematic way to adapt recommendations to specific settings; and (5) provide a framework to assess the certainty of modeled evidence. CONCLUSION: In this article, we describe epidemiologic principles that could be used to move decision-making in climate change forward.
Objective: There is substantial literature detailing the interaction between climate change and diabetes incidence, prevalence, and development. However, there is limited understanding on the impact of climate change on People Living with Diabetes (PWD). This scoping review describes the impact of climate change on morbidity and mortality for PWD. Materials and methods: The scoping review was conducted between November 2022 and February 2023, using articles published in PubMed Central and Google Scholar databases. Articles published from 1970 to 2022 with the following key terms “diabetes”, “type 1 warming”, and “natural disaster” were reviewed. Results: A total of 13,838 articles were identified and reviewed. After applying the review criteria, 42 applicable articles were included in the scoping review. PWD are impacted directly by climate change-induced events including extreme temperatures, air pollution, and natural disasters. Difficulty in storing insulin, maintaining special diets, and accessing diabetes supplies are indirect results of the climate crisis on people with diabetes leading to adverse outcomes such as increased risk of hospitalizations, morbidity, and mortality. Conclusions: Environmental hazards due to climate change increase morbidity and mortality for PWD. Policies that address the interconnection between the two phenomena would improve global diabetes population health. Future research should explore potential solutions to addressing this crisis across multiple populations and settings. (Clin Diabetol 2023; 12; 3: 186-200)
A global transformation of food systems is needed, given their impact on the three interconnected pandemics of undernutrition, obesity and climate change. A scoping review was conducted to synthesise the effectiveness of food system policies/interventions to improve nutrition, nutrition inequalities and environmental sustainability, and to identify double- or triple-duty potentials (their effectiveness tackling simultaneously two or all of these outcomes). When available, their effects on nutritional vulnerabilities and women’s empowerment were described. The policies/interventions studied were derived from a compilation of international recommendations. The literature search was conducted according to the PRISMA extension for scoping reviews. A total of 196 reviews were included in the analysis. The triple-duty interventions identified were sustainable agriculture practices and school food programmes. Labelling, reformulation, in-store nudging interventions and fiscal measures showed double-duty potential across outcomes. Labelling also incentivises food reformulation by the industry. Some interventions (i.e., school food programmes, reformulation, fiscal measures) reduce socio-economic differences in diets, whereas labelling may be more effective among women and higher socio-economic groups. A trade-off identified was that healthy food provision interventions may increase food waste. Overall, multi-component interventions were found to be the most effective to improve nutrition and inequalities. Policies combining nutrition and environmental sustainability objectives are few and mainly of the information type (i.e., labelling). Little evidence is available on the policies/interventions’ effect on environmental sustainability and women’s empowerment. Current research fails to provide good-quality evidence on food systems policies/interventions, in particular in the food supply chains domain. Research to fill this knowledge gap is needed.
Climate anxiety, one of the negative emotions created by climate change, is particularly prevalent among climate activists and young individuals who hold a more serious concern for environmental issues. This study aims to determine the effects of climate change awareness on the mental health of young people in Turkey. Designed as a descriptive and two-group comparative study, the target population of this study comprises young individuals aged 15 to 24 who are climate activists and those who are not. The study data was collected through e-questionnaires administered between March 15 and May 10, 2023, using a demographic characteristics form, a climate change anxiety scale and the Beck Hopelessness Scale. The study was completed with a total of 306 participants, including 103 young individuals who are climate activists and 203 young individuals who are not climate activists. We determined that young individuals who are climate activists have a high level of climate change anxiety, while those who are not climate activists have a moderate level of climate change anxiety. We found that the levels of hopelessness in both groups are at a mild level. Additionally, within the group of climate activists, we observed that individuals with a higher level of knowledge about climate change tend to exhibit greater levels of hopelessness. We identified that as awareness and knowledge about climate change increase, climate change anxiety, and hopelessness also increase. There is a need for studies to determine youth-specific mental health interventions to address mental health issues related to climate change awareness.
All over the world, climate change is exerting negative and complex effects on human living conditions and health. In this narrative review, we summarize the current global evidence regarding the effects of climate change on mental health. METHODS: A systematic literature search concerning the direct effects of acute extreme weather events (floods, storms, fires) and chronic stresses (heat, drought) due to climate change, as well as the indirect effects of climate change (food insecurity, migration), on the diagnoses of mental disorders, psychological distress, and psychiatric emergency admissions was carried out in PubMed and PsychInfo, and supplemented by expert selection. 1017 studies were identified, and 128 were included. RESULTS: The heterogeneity of study methods does not permit any overall estimate of effect strength. The available evidence shows that traumatic experiences due to extreme weather events increase the risk of affective and anxiety disorders, especially the risk of post-traumatic stress disorder. Heat significantly increases the morbidity and mortality attributable to mental illness, as well as the frequency of psychiatric emergencies. Persistent stressors such as drought, food insecurity, and migration owing to climate change can also be major risk factors for mental illness. CONCLUSION: The consequences of climate change are stress factors for mental health. Therefore, as global warming progresses, an increasing incidence and prevalence of mental illness is to be expected. Vulnerable groups, such as the (already) mentally ill, children, and adolescents, need to be protected. At the same time, there is a need for further systematic research on the mechanisms of action and effects of climate change on mental function.
This assessment by the Environmental Effects Assessment Panel (EEAP) of the Montreal Protocol under the United Nations Environment Programme (UNEP) evaluates the effects of ultraviolet (UV) radiation on human health within the context of the Montreal Protocol and its Amendments. We assess work published since our last comprehensive assessment in 2018. Over the last four years gains have been made in knowledge of the links between sun exposure and health outcomes, mechanisms, and estimates of disease burden, including economic impacts. Of particular note, there is new information about the way in which exposure to UV radiation modulates the immune system, causing both harms and benefits for health. The burden of skin cancer remains high, with many lives lost to melanoma and many more people treated for keratinocyte cancer, but it has been estimated that the Montreal Protocol will prevent 11 million cases of melanoma and 432 million cases of keratinocyte cancer that would otherwise have occurred in the United States in people born between 1890 and 2100. While the incidence of skin cancer continues to rise, rates have stabilised in younger populations in some countries. Mortality has also plateaued, partly due to the use of systemic therapies for advanced disease. However, these therapies are very expensive, contributing to the extremely high economic burden of skin cancer, and emphasising the importance and comparative cost-effectiveness of prevention. Photodermatoses, inflammatory skin conditions induced by exposure to UV radiation, can have a marked detrimental impact on the quality of life of sufferers. More information is emerging about their potential link with commonly used drugs, particularly anti-hypertensives. The eyes are also harmed by over-exposure to UV radiation. The incidence of cataract and pterygium is continuing to rise, and there is now evidence of a link between intraocular melanoma and sun exposure. It has been estimated that the Montreal Protocol will prevent 63 million cases of cataract that would otherwise have occurred in the United States in people born between 1890 and 2100. Despite the clearly established harms, exposure to UV radiation also has benefits for human health. While the best recognised benefit is production of vitamin D, beneficial effects mediated by factors other than vitamin D are emerging. For both sun exposure and vitamin D, there is increasingly convincing evidence of a positive role in diseases related to immune function, including both autoimmune diseases and infection. With its influence on the intensity of UV radiation and global warming, the Montreal Protocol has, and will have, both direct and indirect effects on human health, potentially changing the balance of the risks and benefits of spending time outdoors.
An asphalt-concrete parking lot was converted to a small urban forest with 72 trees and permeable pavement as an urban heat island countermeasure. Microclimate monitoring was performed pre- and post-renovation using fixed and mobile measurements. We propose a protocol to estimate robust statistical effects over 24 h constructed with several days of observation, and to compare the spatial distribution of heat stress pre- and post-conversion regardless of differences in weather conditions. Detailed effects on solar and infrared radiation, microclimate and pedestrian heat stress are assessed and tested for statistical significance. Great improvements of pedestrian heat stress are reported, especially in daytime, following the creation of shade which significantly reduces the radiative load of the area. UTCI-equivalent temperature is reduced up to 6.2 & DEG;C (3.1 & DEG;C on a 24h-average). Mobile measurements were used to characterize the spatial disparity of heat stress. Strong thermal discomfort is exhibited under direct insolation. At night, positive effects on pedestrian heat stress are slightly counterbalanced by an increase in infrared trapping due to the reduction of the sky view factor beneath the trees while wind speed is slowed. Recommendations are formulated for urban planners.
The association between heatwaves and cognitive impairment in older adults, especially the joint effect of air pollution and green space on this association, remains unknown. The present cohort study used data from waves of the Chinese Longitudinal Healthy Longevity Survey (CLHLS) from 2008 to 2018. Heatwaves were defined as having daily maximum temperature ≥ 92.5th, 95th and 97.5th percentile that continued at least two, three and four days, measured as the one-year heatwave days prior to the participants’ incident cognitive impairment. Data on the annual average air pollutant concentrations of fine particulate matter (PM(2.5)) and ozone (O(3)) as well as green space exposure (according to the Normalized Difference Vegetation Index (NDVI)) were collected. Time-varying Cox proportional hazards models were constructed to examine the independent effect of heatwaves on cognitive impairment and the combined effect of heatwaves, air pollution, and green space on cognitive impairment. Potential multiplicative interactions were examined by adding a product term of air pollutants and NDVI with heatwaves in the models. The relative excess risk due to interaction (RERI) was calculated to reflect additive interactions. We found that heatwave exposure was associated with higher risks of cognitive impairment, with hazard ratios (HRs) and 95 % confidence intervals (CIs) ranging from 1.035 (95 % CI: 1.016-1.055) to 1.058 (95 % CI: 1.040-1.075). We observed a positive interaction of PM(2.5) concentrations, O(3) concentrations, lack of green space, and heatwave exposure on a multiplicative scale (HRs for product terms >1). Furthermore, we found a synergistic interaction of PM(2.5) concentrations, O(3), lack of green space, and heatwave exposure on an additive scale, with RERIs >0. These results suggest that extreme heat exposure may be a potential risk factor for cognitive impairment in older adults. Additionally, coexposure to air pollution and lack of green space exacerbated the adverse effects of heatwaves on cognitive function.
INTRODUCTION: We conducted a scoping review to analyze the effects and implications of vitamin D deficiency on female reproductive health during the last decade, considering temperate planetary zones and climate change impacts. METHODS: We used a qualitative methodology for a panoramic database review of PubMed, Web of Science, and Scopus covering articles from the last decade focused on populations living at latitudes higher than 40° N and 40° S. As descriptors, we used the phrases climate change, cholecalciferol or vitamin d3, pregnancy, and woman health and the Boolean operators AND and OR. We excluded letters to the editor, reviews, protocols, and clinical trials without human participants, as well as duplicate articles. RESULTS: We included 35 studies in English, the majority of which were from North America or Europe. No studies were found from the Southern Hemisphere or having any direct relation with climate change, although studies demonstrated that latitude and environmental factors affected vitamin D deficiency, which had an impact on pregnant women and their children. Supplementation guidelines were not well developed, and there was a lack of studies among at-risk groups of women (eg, darker skin, higher latitudes, immigrants) across the life span. DISCUSSION: Vitamin D deficiency is a global environmental problem that affects female reproductive health and depends on multiple environmental factors and human behavior. Therefore, we recommend consideration of environmental and sociocultural factors in public policy and clinical research and more research on the effectiveness of supplementation and fortification strategies. Health care professionals working in reproductive health need to generate actions for detection of, education on, and prevention of vitamin D deficiency among women across their life spans, considering the multicausality of the phenomenon, which includes environmental and climate factors in population health.
To review the recent literature on the effects of wildfire smoke (WFS) exposure on asthma and allergic disease, and on potential mechanisms of disease. RECENT FINDINGS: Spatiotemporal modeling and increased ground-level monitoring data are allowing a more detailed picture of the health effects of WFS exposure to emerge, especially with regard to asthma. There is also epidemiologic and some experimental evidence to suggest that WFS exposure increases allergic predisposition and upper airway or sinonasal disease, though much of the literature in this area is focused more generally on PM(2.5) and is not specific for WFS. Experimental evidence for mechanisms includes disruption of epithelial integrity with downstream effects on inflammatory or immune pathways, but experimental models to date have not consistently reflected human disease in this area. Exposure to WFS has an acute detrimental effect on asthma. Potential mechanisms are suggested by in vitro and animal studies.
Climate change has had a major impact on seasonal weather patterns, resulting in marked phenological changes in a wide range of taxa. However, empirical studies of how changes in seasonality impact the emergence and seasonal dynamics of vector-borne diseases have been limited. Lyme borreliosis, a bacterial infection spread by hard-bodied ticks, is the most common vector-borne disease in the northern hemisphere and has been rapidly increasing in both incidence and geographical distribution in many regions of Europe and North America. By analysis of long-term surveillance data (1995-2019) from across Norway (latitude 57°58′-71°08′ N), we demonstrate a marked change in the within-year timing of Lyme borreliosis cases accompanying an increase in the annual number of cases. The seasonal peak in cases is now six weeks earlier than 25 years ago, exceeding seasonal shifts in plant phenology and previous model predictions. The seasonal shift occurred predominantly in the first 10 years of the study period. The concurrent upsurgence in case number and shift in case timing indicate a major change in the Lyme borreliosis disease system over recent decades. This study highlights the potential for climate change to shape the seasonal dynamics of vector-borne disease systems.
Various types of damage, including health risks, caused by abnormal climate conditions have gradually increased in recent years, particularly in cities with a high degree of complexity. In particular, it is important to address heatwave damage risk from both technical and policy perspectives because it poses risks to older adults and/or disadvantaged individuals. This study was performed to assess the quantitative effects of two heatwave mitigation measures, cool roofs and cool pavements, in the Jangyumugye district of Gimhae, Republic of Korea. Thermal imaging cameras were used to measure surface temperatures after the installation of these measures; after the installation of cool roofs, indoor temperatures were also measured using temperature measurement data loggers. Then, a survey was conducted to obtain feedback from users of the associated facilities. From August to October 2019, surface temperatures were significantly reduced following the installation of cool roofs and cool pavements. Cool roofs constructed using slabs and panels provided average temperature reductions of 15.5 degrees C and 11.6 degrees C, respectively. Cool pavements showed a temperature reduction of >= 4 degrees C in both parking lot and alley sites. More than 30% of users noticed a reduction in temperature as a result of heatwave measure installation. These results may be used by the city to make informed policy decisions regarding the implementation of heatwave mitigation measures.
Promoting energy efficiency is crucial for reducing energy consumption, yet its impact on human health remains discussed. This study examines the relationship between household energy efficiency, ambient air pollution, climate change, and mortality risk from chronic respiratory diseases. The study collected observational data in six major cities in Taiwan from 2008 to 2020. The energy efficiency level was determined using the input demand function derived from the stochastic frontier analysis (SFA). Subsequently, analysis was conducted employing a dynamic panel data model and a pooled mean group estimator. The study’s findings indicate that enhancing household energy efficiency decreases the mortality rate associated with chronic respiratory
In England, flood risk management policy constructs flooding through its physical impacts. Whilst research is starting to reveal the mental health impacts of flooding, it stops short of understanding the experience of being flooded and what this means in terms of understanding the F-word, flooding. Yet for flood communities, the emotional impacts of flooding can prevail for years, if not a lifetime. For people who have been flooded, flooding seeps into every facet of life. It removes the security and safety of home creating instead places of fear, stress, and anxiety. Within this paper we lay bare the emotional impacts of flooding, demonstrating the effect that home unmaking and the cyclical need for home remaking, has on individuals, their quality of life, and revealing the long-term emotional impact of living at risk of flooding.We finish by seeking ways to support communities living at risk of flooding, challenging current flood risk management policy, and identifying how it could be strengthened through understanding these emotional impacts. We propose supporting communities through the emotional turmoil of flooding can help provide hope and restore quality of life to those who live at risk of flooding.
Current National Determined Contributions require strengthening to achieve the 2-degree target set in the Paris Agreement. Here, we contrast two mitigation effort strengthening ideas: the “burden-sharing” principle, which requires each region to meet the mitigation goal through domestic mitigation with no international cooperation, and the cooperation focused “cost effective conditional-enhancing” principle, which combines domestic mitigation with carbon trading and low-carbon investment transfer. By applying a burden-sharing model covering several equity principles, we analyze the 2030 mitigation burden for each region, then the energy system model generates the results for the carbon trade and the investment transfer for the conditional-enhancing plan, and an air pollution cobenefit model is used to analyze the cobenefit on air quality and public health. Here, we show that the conditional-enhancing plan leads to an international carbon trading volume of 339.2 billion USD per year and reduces the marginal mitigation cost of the quota-purchase regions by 25%-32%. Furthermore, the international cooperation incentivizes a faster and deeper decarbonization in developing and emerging regions, raising the air pollution health cobenefits by 18% to 731,000 avoided premature deaths annually compared to the “burden-sharing” principle, amounting to a reduction in the life value loss of 131 billion dollars per year.
Drought is one natural disaster with the greatest impact worldwide. Southern Africa (SA) is susceptible and vulnerable to drought due to its type of climate. In the last four decades, droughts have occurred more frequently, with increasing intensity and impacts on ecosystems, agriculture, and health. The work consists of a systematic literature review on the drought regime’s characteristics in the SA under current and future climatic conditions, conducted on the Web of Science and Scopus platforms, using the PRISMA2020 methodology, with usual and appropriate inclusion and exclusion criteria to minimize/eliminate the risk of bias, which lead to 53 documents published after the year 1987. The number of publications on the drought regime in SA is still very small. The country with the most drought situations studied is South Africa, and the countries with fewer studies are Angola and Namibia. The analysis revealed that the main driver of drought in SA is the ocean-atmosphere interactions, including the El Nino Southern Oscillation. The documents used drought indices, evaluating drought descriptors for some regions, but it was not possible to identify one publication that reports the complete study of the drought regime, including the spatial and temporal distribution of all drought descriptors in SA.
The global outbreak of COVID-19 has emerged as one of the most devastating and challenging threats to humanity. As many frontline workers are fighting against this disease, researchers are struggling to obtain a better understanding of the pathways and challenges of this pandemic. This paper evaluates the concept that the transmission of COVID-19 is intrinsically linked to temperature. Some complex nonlinear functional forms, such as the cubic function, are introduced to the empirical models to understand the interaction between temperature and the “growth” in the number of infected cases. An accurate quantitative interaction between temperature and the confirmed COVID-19 cases is obtained as log(Y) = -0.000146(temp_H)(3) + 0.007410(temp_H)(2) -0.063332 temp_H + 7.793842, where Y is the periodic growth in confirmed COVID-19 cases, and temp_H is the maximum daily temperature. This equation alone may be the first confirmed way to measure the quantitative interaction between temperature and human transmission of COVID-19. In addition, four important regions are identified in terms of maximum daily temperature (in Celsius) to understand the dynamics in the transmission of COVID-19 related to temperature. First, the transmission decreases within the range of -50 °C to 5.02 °C. Second, the transmission accelerates in the range of 5.02 °C to 16.92 °C. Essentially, this is the temperature range for an outbreak. Third, the transmission increases more slowly in the range of 16.92 °C to 28.82 °C. Within this range, the number of infections continues to grow, but at a slower pace. Finally, the transmission decreases in the range of 28.82 °C to 50 °C. Thus, according to this hypothesis, the threshold of 16.92 °C is the most critical, as the point at which the infection rate is the greatest. This result sheds light on the mechanism in the cyclicity of the ongoing COVID-19 pandemic worldwide. The implications of these results on policy issues are also discussed concerning a possible cyclical fluctuation pattern between the Northern and Southern Hemispheres.
Low socioeconomic status (SES), high temperature, and increasing rainfall patterns are associated with increased dengue case counts. However, the effect of climatic variables on individual dengue virus (DENV) serotypes and the extent to which serotype count affects the rate of severe dengue in Mexico have not been studied before. A principal components analysis was used to determine the poverty indices across Mexico. Conditional autoregressive Bayesian models were used to determine the effect of poverty and climatic variables on the rate of serotype distribution and severe dengue in Mexico. A unit increase in poverty increased the rate of DENV-1, DENV-2, DENV-3, and DENV-4 by 8.4%, 5%, 16%, and 13.8% respectively. An increase in one case attributable to DENV-1, DENV-2, DENV-3, and DENV-4 was independently associated with an increase in the rate of severe dengue by 0.02%, 0.1%, 0.03%, and 5.8% respectively. Hotspots of all DENV serotypes and severe dengue are found mostly in parts of the Northeastern, Center west, and Southeastern regions of Mexico. The association between climatic parameters predominant in the Southeast region and severe dengue leaves several states in this region at an increased risk of a higher number of severe dengue cases. Our study’s results may guide policies that help allocate public health resources to the most vulnerable municipalities in Mexico.
The allocation of resources towards the development and enhancement of urban parks offers an effective strategy for promoting and improving the health and well-being of urban populations. Investments in urban parks can result in a multitude of health benefits. The increased usage of greenspace by park users has been linked to positive physical and mental health outcomes. Additionally, the expansion of greenspace in urban areas can mitigate harmful impacts from air pollutants, heat, noise, and climate-related health risks. While the health benefits attributed to urban parks and greenspaces are well documented, few studies have measured the economic value of these benefits. This study applied a novel ecohealth economic valuation framework to quantify and estimate the potential economic value of health benefits attributed to the development of a proposed park in the downtown core of Peterborough, Canada. The results indicated that development of the small urban park will result in annual benefits of CAD 133,000 per year, including CAD 109,877 in the avoided economic burden of physical inactivity, CAD 23,084 in health savings associated with improved mental health, and CAD 127 in health savings attributed to better air quality. When including the economic value of higher life satisfaction, the economic benefit is more than CAD 4 million per year. The study demonstrates the value of developing and enhancing urban parks as a strategy to improve population health and well-being, and as a means of cost savings to the medical system.
Although a growing body of literature studies drought impacts, papers providing a comprehensive review of drought’s social and economic impacts are scarce. This paper fills this gap by exploring the consequences of drought on societies based on research findings in Australia-a large country used to experiencing severe droughts. To do this, we propose a framework to categorise drought impacts in three dimensions: individuals/households (including health), productive sectors and system (including economic and ecosystem) impacts. The framework then guides a systematic literature review and discussion of studies looking at diverse drought impacts and their related costs. By analysing and discussing the findings from this literature, we emphasise different policy considerations, empirical challenges and research needs to support robust analysis and estimates of the true cost of droughts. We conclude by proposing an expanded framework to identify drought impacts and a discussion of the implications of the review for policy development.
INTRODUCTION: Both exposure to a natural disaster and psychological symptoms may lead to decreases in social support. Few studies have examined ways to improve social support among victims of natural disasters. AIMS: The objective of the study was to assess emotional and tangible support following a 12-session Internet-based cognitive behavioral therapy (ICBT) targeting posttraumatic stress (PTS), insomnia, and depression symptoms and to examine the association between posttreatment symptoms and emotional and tangible support. MATERIALS AND METHODS: One hundred and seventy-eight wildfire evacuees with significant PTS, depression and/or insomnia symptoms were given access to the ICBT. They completed questionnaires at pre- and posttreatment to measure social support and symptom severity. RESULTS: Results show that completion of the treatment led to an improvement in emotional support. Lower posttreatment PTS and insomnia symptoms were associated with higher posttreatment emotional support. CONCLUSION: ICBT may contribute to enhance emotional support through symptom improvement and probably more so when social support is address directly in treatment.
Townsville is in the dry tropics in Northern Australia and an endemic region for melioidosis. Melioidosis is an infectious disease caused by Burkholderia pseudomallei, a soil dwelling organism. The incidence of melioidosis is associated with high levels of rainfall and has been linked to multiple weather variables in other melioidosis endemic regions such as in Darwin. In contrast to Townsville, Darwin is in the wet-dry tropics in Northern Australia and receives 40% more rainfall. We assessed the relationship between melioidosis incidence and weather conditions in Townsville and compared the patterns to the findings in Darwin and other melioidosis endemic regions. METHOD: Performing a time series analysis from 1996 to 2020, we applied a negative binomial regression model to evaluate the link between the incidence of melioidosis in Townsville and various weather variables. Akaike’s information criterion was used to assess the most parsimonious model with best predictive performance. Fourier terms and lagged deviance residuals were included to control long term seasonal trends and temporal autocorrelation. RESULTS: Humidity is the strongest predictor for melioidosis incidence in Townsville. Furthermore, the incidence of melioidosis showed a three-times rise in the Townsville region when >200 mm of rain fell within the fortnight. Prolonged rainfall had more impact than a heavy downpour on the overall melioidosis incident rate. There was no statistically significant increase in incidence with cloud cover in the multivariable model. CONCLUSION: Consistent with other reports, melioidosis incidence can be attributed to humidity and rainfall in Townsville. In contrast to Darwin, there was no strong link between melioidosis cases and cloud cover and nor single large rainfall events.
This study traces the causal effects of extreme weather events on nutritional and health outcomes among rural children in Uganda using four waves of individual child survey data (2009-2014). A simultaneous regression model was applied for causal inference while also accounting for households’ adaptive responses. The study finds the evidence of a significant negative relationship between extreme weather events and availability of calories and nutrients for children. In particular, droughts reduced calorie, protein and zinc supply, and overall diet diversity by 67%, 37%, 28% and 30%, respectively. We further traced the effects of this reduced calorie and nutrient availability on child health indicators. A 10% decrease in zinc supply decreased height-for-age z-scores (HAZ) by around 0.139 – 0.164 standard deviations (SD), and increased probability of stunting ranging from 3.1 to 3.5 percentage points. Both boys and girls HAZ and stunting rates were sensitive to nutrient inadequacies. Different coping and adaptation strategies significantly influenced rural households’ ability to safeguard children’s nutrition and health against the effects of extreme weather. The findings of this study provide specific insights for building ex-ante resilience against extreme weather events, particularly when compared to ex-post, unsustainable, and often costlier relief actions.
Walking promotes human health and well-being. However, increasing temperatures due to global climate change and urban heat islands challenge urban walkability. While people navigate urban settings, they encounter asymmetrical environmental conditions not captured by most thermal comfort models. Critically, these models predominantly factor in the Mean Radiant Temperature (MRT) but tend to neglect the effects of non-uniform solar radiation on human comfort. This study delves into the thermal impacts of solar radiation on walking individuals, utilizing a controlled environment with solar simulators. 28 subjects walked on a treadmill, simulating the walking state of pedestrians, under asymmetrical radiation conditions with the source being overhead, in front, behind, and to the side. Participants responded to queries concerning their overall thermal comfort, thermal sensation, and thermal acceptability. In addition, they provided feedback on directional and segmental thermal sensations across various body parts. Our findings revealed that the thermal sensation varied depending on the direction of radiation, and their responses regarding their forearms were most closely related to their whole body. These results provide information that can be valuable in the design of outdoor environments that will be thermally comfortable and will encourage people to walk during hot weather.
PURPOSE OF THE REVIEW: To conduct a systematic review of studies to investigate the association between climate and vitamin D in humans. RECENT FINDINGS: There is growing interest in the association between the environment and vitamin D, but robust methods to understand this relationship are lacking. Studies focus mainly on seasonality and latitude. Research quantifying sunlight exposure necessary for adequate vitamin D synthesis in people with darker skin color and those people living at low latitudes are scarce, as are studies in urban populations that may have limited opportunity for sunlight exposure. There are gaps regarding values and timing of exposure to UV radiation required for adequate vitamin D synthesis considering skin color, geography, climate, and local irradiation. Nature-based solutions (NbS) that can mitigate climate change will become increasingly important for preventing hypovitaminosis D. For example, tree-shaded spaces might encourage more participation in outside activities and thereby favor vitamin D synthesis by the skin.
Anthropogenic climate change (ACC) has evolved into a set of crises due to society’s deep economic dependency on fossil fuels. These multiple crises have been well documented and span diverse ecological, human health and economic settings. Given the scale and breadth of CC impacts, expert labeling of the issues has gradually changed from the somewhat benign sounding “global warming” to the more frightening description of a “climate emergency”. Notwithstanding calls for transformative societal change, serious attempts to confront ACC have been hampered by decades of government policy inaction, various scientific debates, political conservatism and denial and public ignorance or apathy. Meanwhile, atmospheric greenhouse gas concentrations have increased inexorably and show no sign of plateauing. The impacts of ACC are becoming evident sooner than expected, and projections for the future of the planet’s ecosystems and the human population which depends on them are dire. Proposals to geoengineer the climate are currently being hotly debated within the scientific community but may prove to be a last resort if the impacts of unmitigated warming become even more severe.
Regarding the predisposition of individuals to change when confronted with future climate scenarios, it is necessary to understand the perception of the groups under analysis and how to engage with society to collectively act toward climate change mitigation. A question remains to be answered: how to ensure that people engage, participate, and gain awareness of the undergoing problem that urban climate change poses for the future of cities’ management? This research intends to contribute to solving this question by raising another question: “How willing are residents of the Alvalade neighborhood (Lisbon) to change their behavior and way of life when faced with climate change scenarios?” We present a methodology using microclimatic modeling with ENVI-met and questionnaires for the resident community. The present and future local climate scenarios (representing a present hot day versus the extreme IPCC RCP 8.5 scenario) were presented to a set of residents. These figures show the projected UTCI (Universal Thermal Climate Index) in a dramatic but accurate aggravated way. The inquiries allowed us to conclude that people are more aware of local climate change and health risks from extremely hot summer weather, but they continue to resist adopting behavior change for adaptation, although most of them declared this could be important to tackle climate change. The second conclusion is that people think that local authorities should be more active than themselves and will have greater responsibility for climate change adaptation and interventions. In times of climate crisis, the participation of the resident community can be an important help in decision making and finding measures to mitigate adverse climate effects in urban environments.
EDUCATIONAL CHALLENGE: There is an urgent need for innovations in planetary health medical education. Physicians must be prepared to provide high-value, low-carbon healthcare for patients increasingly impacted by the health consequences of climate change. PROPOSED SOLUTION: The Climate Wise slides, an evidence-based, open-access pedagogical tool that provides didactic planetary health medical education organized by medical subspecialty, was developed and evaluated by a virtual lecture session that presented a subset of the slides to N = 75 Canadian medical students. Each participant completed a questionnaire before and after the Climate Wise virtual lecture that included multiple choice questions to assess their planetary health knowledge and a rating of their interest in including the Climate Wise slides in medical curricula. LESSONS LEARNED: Participants showed significantly improved planetary health knowledge scores (p < 0.0001) and increased interest in including the Climate Wise slides in medical curricula (p < 0.001) after the virtual Climate Wise lecture session. This study demonstrates that the Climate Wise slides are a valuable pedagogical tool to advance planetary health medical education. NEXT STEPS: Future directions include evaluating faculty perspectives on the Climate Wise slides, learning outcomes of the slides implemented longitudinally in medical curricula, and developing higher-order problem-based and simulation-based planetary health medical education resources. Given the urgent need for planetary health medical education, we recommend the global sharing of teaching resources to facilitate the rapid upscaling of validated pedagogical tools internationally.
Integrated approaches to planning and policy are important for making progress toward sustainability. A variety of frameworks have been developed for facilitating such approaches to planning and policy, such as the water-energy-food (WEF) nexus. However, the WEF nexus has been criticized for a lack of clarity in how to apply the framework, whereas a goals-oriented framework potentially could be more easily applied and operationalized. This paper proposes such a framework, referred to here as the climate-biodiversity-health (CBH) nexus. The paper details the features of the CBH nexus framework, the interactions among its domains, and its potential applications. The CBH nexus consists of three domains (i.e., climate action, biodiversity conservation, and community health) and six subdomains (i.e., climate change mitigation, climate change adaptation, habitat protection and regeneration, wildlife health and welfare, physical health, and mental health). The framework can be applied in practice to develop checklists/toolkits for guiding new development and as a basis for creating community indicator systems. It can also be applied in research to identify gaps in planning and policy documents and as a lens for participatory modeling exercises. Continued experimentation with, and improvement of, the CBH framework will reveal its most useful applications, thereby opening new opportunities for communities to effectively develop and implement integrated sustainability plans and policies.
The worldwide prevalence of allergic disease is rising as a result of complex gene-environment interactions that shape the immune system and host response. Climate change and loss of biodiversity are existential threats to humans, animals, plants, and ecosystems. While there is significant progress in the development of targeted therapeutic options to treat allergies and asthma, these approaches are inadequate to meet the challenges faced by climate change. The exposomic approach is needed with the recognition of the bidirectional effect between human beings and the environment. All stakeholders need to work together toward mitigating the effects of climate change and promoting a One Health concept in order to decrease the burden of asthma and allergy and to improve immune health. Healthcare professionals should strive to incorporate One Health counseling, environmental health precepts, and advocacy into their practice.
Previous research has demonstrated that heightened levels of climate change anxiety are correlated with psy-chological distress. Some have argued that engagement in pro-environmental behaviour might be associated with lower levels of climate anxiety and psychological distress. As such, this study aimed to explore the association between pro-environmental behavioural engagement, climate change anxiety, and generalized psychological distress. Participants living in British Columbia, Canada aged 16+ completed a serial cross-sectional online survey. We examined inter-relationships between self-reported Climate-related Behavioural Engagement (BE) scores, Climate Change Anxiety Scale (CCAS) scores, and Kessler Psychological Distress (K6) scores using scat-terplots, Spearman Rank Correlation and multivariable linear regression. Among 1553 participants, higher CCAS scores and higher BE scores were both associated with greater psychological distress. An interaction term be-tween these variables indicated that as CCAS scores increased, the effect of self-reported behavioural engagement on psychological distress was attenuated. Findings suggest that self-reported behavioural engagement and climate anxiety are correlated, a phenomenon we refer to as the concerned steward effect. However, the asso-ciation becomes attenuated among those with high levels of distress, perhaps driven by a diminishing return of behavioural engagement or difficulties of behavioural engagement among those with high distress.
Climate change and globalization have raised the risk of vector-borne disease (VBD) introduction and spread in various European nations in recent years. In Italy, viruses carried by tropical vectors have been shown to cause viral encephalitis, one of the symptoms of arboviruses, a spectrum of viral disorders spread by arthropods such as mosquitoes and ticks. Arboviruses are currently causing alarm and attention, and the World Health Organization (WHO) has released recommendations to adopt essential measures, particularly during the hot season, to restrict the spreading of the infectious agents among breeding stocks. In this scenario, rapid analysis systems are required, because they can quickly provide information on potential virus-host interactions, the evolution of the infection, and the onset of disabling clinical symptoms, or serious illnesses. Such systems include bioinformatics approaches integrated with molecular evaluation. Viruses have co-evolved different strategies to transcribe their own genetic material, by changing the host’s transcriptional machinery, even in short periods of time. The introduction of genetic alterations, particularly in RNA viruses, results in a continuous adaptive fight against the host’s immune system. We propose an in silico pipeline method for performing a comprehensive motif analysis (including motif discovery) on entire genome sequences to uncover viral sequences that may interact with host RNA binding proteins (RBPs) by interrogating the database of known RNA binding proteins, which play important roles in RNA metabolism and biological processes. Indeed, viral RNA sequences, able to bind host RBPs, may compete with cellular RNAs, altering important metabolic processes. Our findings suggest that the proposed in silico approach could be a useful and promising tool to investigate the complex and multiform clinical manifestations of viral encephalitis, and possibly identify altered metabolic pathways as targets of pharmacological treatments and innovative therapeutic protocols.
Anthropogenic climate change will have a detrimental impact on global health, including the direct impact of higher ambient temperatures. Existing projections of heat-related health outcomes in a changing climate often consider increasing ambient temperatures alone. Population growth and structure has been identified as a key source of uncertainty in future projections. Age acts as a modifier of heat risk, with heat-risk generally increasing in older age-groups. In many countries the population is ageing as lower birth rates and increasing life expectancy alter the population structure. Preparing for an older population, in particular in the context of a warmer climate should therefore be a priority in public health research and policy. We assess the level of inclusion of population growth and demographic changes in research projecting exposure to heat and heat-related health outcomes. To assess the level of inclusion of population changes in the literature, keyword searches of two databases were implemented, followed by reference and citation scans to identify any missed papers. Relevant papers, those including a projection of the heat health burden under climate change, were then checked for inclusion of population scenarios. Where sensitivity to population change was studied the impact of this on projections was extracted. Our analysis suggests that projecting the heat health burden is a growing area of research, however, some areas remain understudied including Africa and the Middle East and morbidity is rarely explored with most studies focusing on mortality. Of the studies pairing projections of population and climate, specifically SSPs and RCPs, many used pairing considered to be unfeasible. We find that not including any projected changes in population or demographics leads to underestimation of health burdens of on average 64 %. Inclusion of population changes increased the heat health burden across all but two studies.
Arid pastoralism is often understood as an adaptive strategy to marginal environments. As pastoralists become increasingly market integrated, novel dietary preferences and access to low quality market foods can erode traditional diets. These market-based dietary shifts are particularly problematic during sustained drought, where reductions in traditional foods make pastoralists increasingly reliant on a cash economy. Among the Himba of the Kunene region in Namibia, colonial policies prohibiting access to livestock markets inhibit access to a cash-based economy, leaving them vulnerable to food insecurity when nontraditional foods are needed to supplement traditional lifeways during drought. To understand the impacts of long-term drought on diet and food insecurity, we collected longitudinal survey data on diet breadth and food insecurity across 4 years during a multi-year drought. METHODS: Participants completed a five-item food insecurity survey and recalled diet breadth survey over the course of 4 years (N = 191-234). Additionally, women completed a short survey of recent stressors, including health and resource stressors (N = 127). We used a set of multilevel models to estimate changes in food insecurity items and diet breadth changes over the course of the study period. RESULTS: Multilevel models predicted score outcomes, as well as individual item responses, by year of data collection. Results indicate a 43% increase in average food insecurity and a 15% decline in average diet breadth over the study period. Dietary recall indicates that drought caused a reduction in sour milk intake, and an increase in nontraditional foods, but no change in meat or maize consumption. CONCLUSIONS: Sustained drought in the Kunene region is having long-term impacts on food insecurity, which could result in dietary shifts that outlast the current period of drought. We consider the implications of this change, especially as it relates to increasing market integration and reliance on a cash-based over a subsistence-based economy.
BACKGROUND: Heat is a significant cause of mortality, but impact patterns are heterogenous. Previous studies assessing such heterogeneity focused exclusively on risk rather than heat-attributable mortality burdens and assume predictors are independent. OBJECTIVES: We assessed how four interrelated regional-level sociodemographic predictors-education, life expectancy, the ratio of older to younger people (aging index), and relative income-influence heterogeneity in heat-attributable mortality burdens in Europe and then derived insights into adaptation strategies. METHODS: We extracted four outcomes from a temperature-mortality study covering 16 European countries: the rate of increase in mortality risk at moderate and extreme temperatures (moderate and extreme slope, respectively), the minimum mortality temperature percentile (MMTP), and the underlying mortality rate. We used structural equation modeling with country-level random effects to quantify the direct and indirect influences of the predictors on the outcomes. RESULTS: Higher levels of education were directly associated with lower heat-related mortality at moderate and extreme temperatures via lower slopes and higher MMTPs. A one standard deviation increase in education was associated with a – 0.46 ± 0.14, – 0.41 ± 0.12, and 0.41 ± 0.12 standard deviation (±standard error) change in the moderate slope, extreme slope, and MMTP, respectively. However, education had mixed indirect influences via associations with life expectancy, the aging index, and relative income. Higher life expectancy had mixed relations with heat-related mortality, being associated with higher risk at moderate temperatures (0.33 ± 0.11 for the moderate slope; – 0.19 ± 0.097 for the MMTP) but lower underlying mortality rates ( – 0.72 ± 0.097). A higher aging index was associated with higher burdens through higher risk at extreme temperatures (0.13 ± 0.072 for the extreme slope) and higher underlying mortality rates (0.93 ± 0.055). Relative income had relatively small, mixed influences. DISCUSSION: Our novel approach provided insights into actions for reducing the health impacts of heat. First, the results show the interrelations between possible vulnerability-generating mechanisms and suggest future research directions. Second, the findings point to the need for a dual approach to adaptation, with actions that explicitly target heat exposure reduction and actions focused explicitly on the root causes of vulnerability. For the latter, the climate crisis may be leveraged to accelerate ongoing general public health programs. https://doi.org/10.1289/EHP11766.
Aquatic ecosystems of tropical countries are vulnerable to fecal contamination that could cause spikes in the incidences of acute diarrheal disease (ADD) and challenge public health management systems. Vembanad lake, situated along the southwest coast of India, was monitored for one year (2018-2019). Escherichia coli, an indicator of fecal contamination, was prevalent in the lake throughout the year. Multiple antibiotic resistance among more than 50% of the E. coli isolates adds urgency to the need to control this contamination. The high abundance of E. coli and incidence of ADD were recorded during the early phase of the southwest monsoon (June-July), prior to the once-in-a-century floods that affected the region in the later phase (August). The extent of inundation in the low-lying areas peaked in August, but E. coli in the water peaked in July, suggesting that contamination occurred even prior to extreme flooding. During the COVID-19-related lockdown in March-May 2021, fecal contamination in the lake and incidence of ADD reached minimum values. These results indicate the need for improving sewage treatment facilities and city planning in flood-prone areas to avoid the mixing of septic sewage with natural waters during extreme climate events or even during the normal monsoon.
Extreme heat is increasingly being acknowledged as a serious hazard to human health, through a combination of physiological responses to heat, expressed as dry and wet bulb temperatures, and personal factors. Here we present an analysis of the diurnal variability of dry and wet bulb temperatures using station data in South Asia during both regular and heatwave days. We find that diurnal cycles differ, with the daily maximum wet bulb temperature occurring several hours after the daily maximum dry bulb temperature. Using radiosonde profiles, we show that the timing and amplitude of the diurnal variability of wet bulb temperature can be explained by changes in boundary layer depths and water content. Physiological thresholds for uncompensable heat stress were exceeded even in the evenings, many hours after dry bulb temperature peaks. Cumulative exceedances occurred in 105 instances, corresponding to at least 300 hours of exposure to uncompensable heat stress in South Asia between 1995 and 2020. We conclude that physiologically relevant thresholds provide a more robust way to estimate health impacts, and that wet bulb temperature alone is insufficient as an indicator of hazardous heat. Human physiological thresholds for uncompensable heat stress were exceeded for more than 300 hours in South Asia between 1995 and 2020, including in the evenings, according to an analysis of the diurnal variability of wet and dry bulb temperatures in station data.
Evidence suggests an association between air pollutant exposure and worse outcomes for respiratory viral diseases, like COVID-19. However, does breathing polluted air over many years affect the susceptibility to SARS-CoV-2 infection or severity of COVID-19 disease, and how intense are these effects? As climate change intensifies, air pollutant levels may rise, which might further affect the burden of respiratory viral diseases. We assessed the effect of increasing exposure to PM2.5 (particulate matter = 2.5 microns in diameter) on SARS-CoV-2 susceptibility or COVID-19 severity and projected the impact on infections and hospitalisations over two years. Simulations in a hypothetical, representative population show that if exposure affects severity, then hospital admissions are projected to increase by 5-10% for a one-unit exposure increase. However, if exposure affects susceptibility, then infections would increase with the potential for onward transmission and hospital admissions could increase by over 60%. Implications of this study highlight the importance of considering this potential additional health and health system burden as part of strategic planning to mitigate and respond to changing air pollution levels. It is also important to better understand at which point PM2.5 exposure affects SARS-CoV-2 infection through to COVID-19 disease progression, to enable improved protection and better support of those most vulnerable.
Elevated surface concentrations of ozone and fine particulate matter (PM(2.5)) can lead to poor air quality and detrimental impacts on human health. These pollutants are also termed Near-Term Climate Forcers (NTCFs) as they can also influence the Earth’s radiative balance on timescales shorter than long-lived greenhouse gases. Here we use the Earth system model, UKESM1, to simulate the change in surface ozone and PM(2.5) concentrations from different NTCF mitigation scenarios, conducted as part of the Aerosol and Chemistry Model Intercomparison Project (AerChemMIP). These are then combined with relative risk estimates and projected changes in population demographics, to estimate the mortality burden attributable to long-term exposure to ambient air pollution. Scenarios that involve the strong mitigation of air pollutant emissions yield large future benefits to human health (25%), particularly across Asia for black carbon (7%), when compared to the future reference pathway. However, if anthropogenic emissions follow the reference pathway, then impacts to human health worsen over South Asia in the short term (11%) and across Africa (20%) in the longer term. Future climate change impacts on air pollutants can offset some of the health benefits achieved by emission mitigation measures over Europe for PM(2.5) and East Asia for ozone. In addition, differences in the future chemical environment over regions are important considerations for mitigation measures to achieve the largest benefit to human health. Future policy measures to mitigate climate warming need to also consider the impact on air quality and human health across different regions to achieve the maximum co-benefits.
PURPOSE OF REVIEW: The Mediterranean basin is highly vulnerable to climate change. This study is aimed at quantifying the risk of mortality associated with exposure to high ambient temperature in the Mediterranean basin in the general population and in vulnerable sub-populations. RECENT FINDINGS: We retrieved effect estimates from studies linking temperature and mortality in the Mediterranean basin, between 2000 and 2021. In a meta-analysis of 16 studies, we found an increased risk of all-cause mortality due to ambient heat/high temperature exposure in the Mediterranean basin, with a pooled RR of 1.035 (95%CI 1.028-1.041) per 1 °C increase in temperature above local thresholds (I(2) = 79%). Risk was highest for respiratory mortality (RR = 1.063, 95% CI 1.052-1.074) and cardiovascular mortality (RR = 1.046, 95% CI 1.036-1.057). Hot ambient temperatures increase the mortality risk across the Mediterranean basin. Further studies, especially in North African, Asian Mediterranean, and eastern European countries, are needed to bolster regional preparedness against future heat-related health burdens.
To assess the population health impact of high temperatures on workplace health and safety by estimating the burden of heat-attributable occupational injury in Australia. Retrospective observational study; estimation of burden of occupational injury in Australia attributable to high temperatures during 2014-19, based on Safe Work Australia (work-related traumatic injury fatalities and workers’ compensation databases) and Australian Institute of Health and Welfare data (Australian Burden of Disease Study and National Hospital Morbidity databases), and a meta-analysis of climate zone-specific risk data. Burden of heat-attributable occupational injuries as disability-adjusted life years (DALYs), comprising the numbers of years of life lived with disability (YLDs) and years of life lost (YLLs), nationally, by Köppen-Geiger climate zone, and by state and territory. During 2014-19, an estimated 42 884 years of healthy life were lost to occupational injury, comprising 39 485 YLLs (92.1%) and 3399 YLDs (7.9%), at a rate of 0.80 DALYs per 1000 workers per year. A total of 967 occupational injury-related DALYs were attributable to heat (2.3% of occupational injury-related DALYs), comprising 890 YLLs (92%) and 77 YLDs (8%). By climate zone, the heat-attributable proportion was largest in the tropical Am (12 DALYs; 3.5%) and Aw zones (34 DALYs; 3.5%); by state and territory, the proportion was largest in New South Wales and Queensland (each 2.9%), which also included the largest numbers of heat-attributable occupational injury-related DALYs (NSW: 379 DALYs, 39% of national total; Queensland: 308 DALYs; 32%). An estimated 2.3% of the occupational injury burden in Australia is attributable to high ambient temperatures. To prevent this burden increasing with global warming, adaptive measures and industry-based policies are needed to safeguard workplace health and safety, particularly in heat-exposed industries, such as agriculture, transport, and construction.
Water resources, whether exceeding per capita water abundance thresholds or below water scarcity thresholds, are health determinants within small island developing states (SIDS). Thresholds indicate water stress vulnerability in SIDS, however, underestimate the physicality associated with a lack of water. The objectives of this study are to capture the main challenges of consistently meeting water demand in SIDS and to present their intersection with certain diseases or factors associated with specific health conditions like dengue fever, gastrointestinal disorders, dehydration, and malnutrition. This review utilizes archival evidence to categorize the challenges undermining water availability in SIDS with the view that these issues present or exacerbate health outcomes. Seasonal rainfall variations (73%), inadequate distribution infrastructure (64%), saltwater intrusion (61%), contamination (58%), human-induced watershed change (19%), and sea level rise (17%) were identified from 108 country-specific sources as challenges to consistently meeting water demand by 59 SIDS. Any water stress indicator must consider that it is contingent on its human burden. These challenges affect food security through agricultural drought and soil salinization, and the proliferation of vector-borne and sanitation-related diseases across SIDS. This review is the first step in determining the human health burden of water insecurity in SIDS.HIGHLIGHTS center dot Environmental properties, resource protection and distribution infrastructure determine water security in SIDS.center dot Rainfall variations and saltwater intrusion affect water resources in .60% of SIDS & threaten food security.center dot Seasonality, insufficient infrastructure, watershed change, and pollution increase the risk of vector-& water-borne disease.center dot Accounting for the human burden of climate-associated water insecurity would benefit SIDS.
The paper investigates weather-related fatalities over the territory of the Czech Republic in the 100-year period from 1921 to 2020. The unique database, created from documentary evidence (particularly newspapers), includes, for each deadly event, information about the weather event, the fatality itself, and related circumstances. A total of 2729 fatalities were detected during the 100-year period and were associated with various weather categories including frost (38%), convective storms (19%), floods (17%), fog (11%), snow and glaze ice (8%), windstorms (5%), and other inclement weather (2%). A detailed analysis was performed for each individual category. Fatalities occurred throughout the country, with a main maximum in winter (January) and a secondary maximum in summer (July), corresponding to the occurrence of extreme weather. Deaths were mainly interpreted as direct, caused by freezing to death/hypothermia or drowning, and occurred in the afternoon and at night in open countryside or on rivers and water bodies. Males outnumbered females, and adults outnumbered children and the elderly. Hazardous behavior was more frequent than non-hazardous behavior among victims. The information on fatalities and the structure of their characteristics strongly reflects historical milestones of the country, political and socioeconomic changes, as well as changes in lifestyle. Although important weather effects were observed on the deadliest events, the character of the data did not allow for clear evidence of the effects of long-term climate variability.
The world faces a dramatic man-made ecologic disaster and healthcare is a crucial part of this problem. Compared with other therapeutic areas, nephrology care, and especially dialysis, creates an excessive burden via water consumption, greenhouse gas emission and waste production. In this advocacy article from the European Kidney Health Alliance we describe the mutual impact of climate change on kidney health and kidney care on ecology. We propose an array of measures as potential solutions related to the prevention of kidney disease, kidney transplantation and green dialysis. For dialysis, several proactive suggestions are made, especially by lowering water consumption, implementing energy-neutral policies, waste triage and recycling of materials. These include original proposals such as dialysate regeneration, dialysate flow reduction, water distillation systems for dialysate production, heat pumps for unit climatization, heat exchangers for dialysate warming, biodegradable and bio-based polymers, alternative power sources, repurposing of plastic waste (e.g. incorporation in concrete), registration systems of ecologic burden and platforms to exchange ecologic best practices. We also discuss how the European Green Deal offers real potential for supporting and galvanizing these urgent environmental changes. Finally, we formulate recommendations to professionals, manufacturers, providers and policymakers on how this correction can be achieved.
South America is experiencing the effects of climate change, including extreme weather events and changes in temperature and precipitation patterns. These effects interact with existing social vulnerabilities, exacerbating their impact on the health and wellbeing of populations. This viewpoint highlights four main messages from the series, which presented key gaps from five different perspectives of health and climate. First, there is an overall need for local analyses of priority topics to inform public policy, which include national and sub-national evidence to adequately strengthen responses and preparedness for climate change hazards and address relevant social vulnerabilities in South American countries. Second, research in health and climate is done in silos and the intersection is not clear in terms of responsibility and leadership; therefore, transdisciplinary research and action are key. Third, climate research, policies, and action need to be reflected in effective funding schemes, which until now are very limited. For adaptation and mitigation policies to be effective, they need a robust and long-term funding scheme. Finally, climate action is a big opportunity for healthier and more prosperous societies in South America, taking the advantage of strategic climate policies to face the challenges of climate change and tackle existing social inequities.
Throughout history, parasites and parasitic diseases have been humankind’s constant companions, as evidenced by the findings of tapeworm eggs in ancient, mummified remains. Helminths are responsible for causing severe, long-term, and debilitating infectious diseases worldwide, especially affecting economically challenged nations due to prevailing deficits in access to sanitation, proper hygiene practices, and healthcare infrastructure. Socio-ecological drivers, such as poverty, migration, and climate change, continue to contribute to parasites and their disease vectors being spread beyond known endemic zones. The study of parasitic diseases has had a fair amount of success leading to the development of new chemotherapeutic agents and the implementation of parasite eradication programs. However, further progress in this direction has been hampered by the challenges of culturing some of these parasites in in vitro systems for efficient availability, basic life cycle, infection studies, and effectiveness of novel treatment strategies. The complexity of the existing models varies widely, depending on the parasite and its life cycle, ranging from basic culture methods to advanced 3D systems. This review aims to highlight the research conducted so far in culturing and maintaining parasites in an in vitro setting, thereby contributing to a better understanding of pathogenicity and generating new insights into their lifecycles in the hopes of leading to effective treatments and prevention strategies. This work is the first comprehensive outline of existing in vitro models for highly transmissible helminth diseases causing severe morbidity and mortality in humans globally.
BACKGROUND: Epidemiological evidence suggests an association between low ambient temperature and stroke risk, but available data are limited particularly on associations with different stroke subtypes. AIMS: The aim of this study is to estimate the relationship between cold spells and stroke admissions, including the effect of cold spells on different stroke subtypes (ischemic stroke and intracerebral hemorrhage (ICH)). METHODS: A total of 144,405 stroke admissions from the Tianjin Centre for Health and Meteorology Multidisciplinary Innovation in China, covering the period from January 2016 to December 2020, were studied, as well as meteorological and air pollutant data. A generalized additive model with a distributed lag nonlinear model was employed to assess the relationship, considering 12 different definitions of a cold spell based on various temperature thresholds and durations. The analysis controlled for lagged and nonlinear effects of temperature. Analyses were performed on all strokes as well as ischemic stroke and ICH. RESULTS: There was a significant increase in stroke admissions during cold spells. Generally, the increased risk during cold spells increased as the temperature threshold decreased, but was not significantly affected by the duration. The optimal model was obtained using the cold-spell definition based on an average daily temperature below the 10th percentile (0.11°C) for 2 or more consecutive days. According to this model, the effect of cold spells on ischemic stroke admissions had a significant lag effect and was long-lasting, with a single-day effect occurring on lag 7d, peaking on lag 13d (relative risk (RR) = 1.05; 95% confidence interval (CI) = 1.02 to 1.09), and lasting until lag 20d. In contrast, the effect on ICH was immediate and short-lived, with the most significant single-day effect occurring on the current day (RR = 1.17; 95% CI = 1.06 to 1.29) and limited within 3 days. 14.15% of stroke cases could be attributed to cold spells, with ICH exhibiting a higher burden than ischemic stroke except for strict temperature threshold definitions. CONCLUSION: Cold spells are associated with an increased stroke risk. Different patterns of association were seen for different stroke subtypes. The effect on ischemic stroke had a lag effect and a longer duration, whereas the effect on ICH had an immediate effect and a shorter duration. These findings support the development and improvement of stroke cold-spell early warning systems and highlight the importance of public health interventions to mitigate the adverse health impacts of cold spells.
BACKGROUND: Mounting evidence supports an association between nonoptimal ambient temperatures (i.e., heat or cold) and risk of low birthweight (LBW) (<2500 g), while the effect of temperature variability (TV) is largely unknown. We aimed to quantify the association between TV and risk of LBW in Africa. METHODS: Data on birthweight in 37 countries during 1990-2020 were collected from the Demographic and Health Surveys program. We calculated overall, intraday, and interday TV during the entire pregnancy and each trimester using hourly temperatures at ∼ 9 km resolution from ERA5-Land. We employed generalized linear mixed logistic regression, with random effects for country and survey cluster, to quantify the association between LBW and three separate TV metrics. RESULTS: In total there were 33,863 (10.2%) LBW births out of 333,618 records. We found a J-shaped association between TV and LBW. Compared to the reference TV where the lowest risk was observed, extremely high (97.5th percentile) overall, intraday, and interday TV during the entire pregnancy increased the odds of LBW birth by 37.3% (26.7-48.8%), 24.1% (16.4-32.3%), and 15.1% (6.9-24.0%), respectively. In total, 7.3% of all LBW births in Africa were attributable to elevated overall TV. These associations were observed in dry climate zones, but not in tropical or temperate zones. CONCLUSIONS: Our study suggests an adverse impact of TV on the risk of LBW in Africa, according to three different TV definitions, underlining the significance of climate-health risk assessment in those most vulnerable to climate change.
AIMS: Cardiorespiratory fitness (CRF), an important biomarker of human health, is impaired in cold environment compared to thermoneutral condition. The study aimed to investigate the role of metabolome response to acute exercise in regulation of CRF at different ambient temperatures. MAIN METHODS: A total of 27 young adults were recruited, and each subject underwent a cardiopulmonary exercise test (CPET) and a constant load submaximal exercise at both room temperature (25 °C) and cold temperature (0 °C). The serum samples were collected before and immediately after constant load exercise. KEY FINDINGS: Acute cold exposure decreased CRF by 41 %, accompanied by a metabolic shift to anaerobic respiration. It also decreased VO(2) and increased respiratory quotient during constant load exercise. Metabolome profiling revealed that acute exercise reprogrammed serum metabolome in an ambient temperature-dependent manner. Specifically, exercise increased a cluster of fatty acids during cold exposure, possibly due to impaired fatty acid oxidation. The correlations between metabolite responses to acute exercise and exercise parameters were analyzed using partial least squares regression and machine learning, revealing that metabolite responses to acute exercise were highly correlated with exercise parameters and predictive of CRF. Among the contributors, tryptophan and its metabolites stood out as important ones. SIGNIFICANCE: These results suggested that the metabolite responses to acute submaximal exercise unmasks the exercise performance at different ambient temperatures, highlighting the role of metabolite orchestration in the physiological regulation of CRF.
Increasing wind speed alleviates physiological heat strain; however, health policies have advised against using ventilators or fans under heat wave conditions with air temperatures above the typical skin temperature of 35 °C. Recent research, mostly with sedentary participants, suggests mitigating the effects of wind at even higher temperatures, depending on the humidity level. Our study aimed at exploring and quantifying whether such results are transferable to moderate exercise levels, and whether the Universal Thermal Climate Index (UTCI) reproduces those effects. We measured heart rates, core and skin temperatures, and sweat rates in 198 laboratory experiments completed by five young, semi-nude, heat-acclimated, moderately exercising males walking the treadmill at 4 km/h on the level for three hours under widely varying temperature-humidity combinations and two wind conditions. We quantified the cooling effect of increasing the wind speed from 0.3 to 2 m/s by fitting generalized additive models predicting the physiological heat stress responses depending on ambient temperature, humidity, and wind speed. We then compared the observed wind effects to the assessment performed by the UTCI. Increasing the wind speed lowered the physiological heat strain for air temperatures below 35 °C, but also for higher temperatures with humidity levels above 2 kPa water vapor pressure concerning heart rate and core temperature, and 3 kPa concerning skin temperature and sweat rate, respectively. The UTCI assessment of wind effects correlated positively with the observed changes in physiological responses, showing the closest agreement (r = 0.9) for skin temperature and sweat rate, where wind is known for elevating the relevant convective and evaporative heat transfer. These results demonstrate the potential of the UTCI for adequately assessing sustainable strategies for heat stress mitigation involving fans or ventilators, depending on temperature and humidity, for moderately exercising individuals.
Limited knowledge exists regarding the ramifications of climate warming on death burden from neurodegenerative diseases. Here, we conducted a nationwide, individual-level, case-crossover study between 2013 and 2019 to investigate the effects of non-optimal temperatures on various neurodegenerative diseases and to predict the potential death burden under different climate change scenarios. Our findings reveal that both low and high temperatures are linked to increased risks of neurodegenerative diseases death. We project that heat-related neurodegenerative disease deaths would increase, while cold-related deaths would decrease. This is characterized by a steeper slope in the high-emission scenario, but a less pronounced trend in the scenarios involving mitigation strategies. Furthermore, we predict that the net changes in attributable death would increase after the mid-21st century, especially under the unrestricted-emission scenario. These results highlight the urgent need for effective climate and public health policies to address the growing challenges of neurodegenerative diseases associated with global warming.
Exposure to hot or cold temperatures was reported to be associated with increased mortality and morbidity of type 2 diabetes, but few studies have estimated the temporal trend and global burden of type 2 diabetes attributable to non-optimal temperature. Based on the Global Burden of Disease Study 2019, we collected data on the numbers and rates of deaths and disability-adjusted life years (DALYs) of type 2 diabetes attributed to non-optimal temperature. The joinpoint regression analysis was used to estimate the temporal trends of the age-standardized rate of mortality and DALYs from 1990 to 2019 by average annual percentage change (AAPC). From 1990 to 2019, globally, the numbers of deaths and DALYs of type 2 diabetes attributable to non-optimal temperature increased by 136.13% (95% (uncertainty interval) UI: 87.04% to 277.76%) and 122.26% (95% UI: 68.77% to 275.59%), with the number from 0.05 (95% UI: 0.02 to 0.07) million and 0.96 (95% UI: 0.37 to 1.51) million in 1990 to 0. 11 (95% UI: 0.07 to 0.15) million and 2.14 (95% UI: 1.35 to 3.13) million in 2019. The age-standardized mortality rate (ASMR) and DALYs rate (ASDR) of type 2 diabetes attributable to non-optimal temperature showed an increasing trend in the high temperature effect and lower (low, low-middle and middle) socio-demographic index (SDI) region, with AAPCs of 3.17%, 1.24%, 1.61%, and 0.79% (all P < 0.05), respectively. The greatest increased ASMR and ASDR were observed in Central Asia, followed by Western Sub-Saharan Africa and South Asia. Meanwhile, the contribution of type 2 diabetes burden attributable to high temperature gradually increased globally and in five SDI regions. In addition, the global age-specific rate of mortality and DALYs of type 2 diabetes attributable to non-optimal temperature for both men and women almost increased with age in 2019. The global burden of type 2 diabetes attributable to non-optimal temperature increased from 1990 to 2019, particularly in high temperature, regions with lower SDI, and the older population. Appropriate temperature interventions are necessary to curb climate change and increasing diabetes.
There is limited evidence of temporal changes in the association between air temperature and the risk of cause-specific cardiovascular [CVD] and respiratory [RD] mortality. METHOD: We explored temporal variations in the association between short-term exposures to air temperature and non-accidental and cause-specific CVD and RD mortality in the 15 largest German cities over 24 years (1993-2016) using time-stratified time series analysis. We applied location-specific confounder-adjusted Poisson regression with distributed lag non-linear models with a lag period of 14 days to estimate the temperature-mortality associations. We then pooled the estimates by a multivariate meta-analytical model. We analysed the whole study period and the periods 1993-2004 and 2005-16, separately. We also carried out age- and sex-stratified analysis. Cold and heat effects are reported as relative risk [RR] at the 1st and the 99th temperature percentile, relative to the 25th and the 75th percentile, respectively. RESULT: We analysed a total of 3,159,292 non-accidental, 1,063,198 CVD and 183,027 RD deaths. Cold-related RR for CVD mortality was seen to rise consistently over time from 1.04 (95% confidence interval [95% CI] 1.02, 1.06) in the period 1993-2004 to 1.10 (95% CI 1.09, 1.11) in the period 2005-16. A similar increase in cold-related RR was also observed for RD mortality with risk increasing from 0.99 (95% CI 0.96, 1.03) to 1.07 (95% CI 1.03, 1.10). Cold-related ischemic, cerebrovascular, and heart failure mortality risk were seen to be increasing over time. Similarly, COPD, the commonly speculated driver of heat-related RD mortality was found to have a constant heat-related risk over time. Males were increasingly vulnerable to cold with time for all causes of death. Females showed increasing sensitivity to cold for CVD mortality. Our results indicated a significant increased cold and heat vulnerability of the youngest age-groups (<64) to non-accidental and RD mortality, respectively. Similarly, the older age group (>65) were found to have significantly increased susceptibility to cold for CVD mortality. CONCLUSION: We found evidence of rising population susceptibility to both heat- and cold-related CVD and RD mortality risk from 1993 to 2016. Climate change mitigation and targeted adaptation strategies might help to reduce the number of temperature-related deaths in the future.
Rising global temperatures and more frequent heatwaves due to climate change have led to a growing body of research and increased policy focus on how to protect against the adverse effects of heat. In cold and temperate Europe, dwellings have traditionally been designed for cold protection rather than heat mitigation. There is, therefore, a need to understand the mechanisms through which indoor overheating can occur, its effects on occupants and energy consumption, and how we can design, adapt, and operate buildings during warm weather to improve thermal comfort and reduce cooling energy consumption. This paper brings together experts in overheating from across Europe to explore 10 key questions about the causes and risks from overheating in residential settings in Central and Northern Europe, including the way in which we define and measure overheating, its impacts, and its social and policy implications. The focus is not on summarising literature, but rather on identifying the evidence, key challenges and misconceptions, and limitations of current knowledge. Looking ahead, we outline actions needed to adapt, including the (re)design of dwellings, neighbourhoods, and population responses to indoor heat, and the potential shape of these actions. In doing so, we illustrate how heat adaptation is a multi-faceted challenge that requires urgent and coordinated action at multiple levels, but with feasible solutions and clear benefits for health and energy.
Millions of people worldwide are deprived of sufficient, safe, and nutritious food required for an everyday and healthy life. The hunger crisis is worsening over time, even though many attempts have been made to minimize it. Increasing world population and competition for natural resources, climate change, natural disasters, urbanization, poverty, and illiteracy are the main causes that need to be addressed to reduce the hunger crisis. Various nonfarm technologies are being used to eradicate hunger but their long-term impact on the environment should also be considered. The real sustainability of several novel technologies being implemented to deal with hunger is an issue to tackle. This paper discusses the potential applications of storage facilities, underutilized crops, waste valorization, food preservation, nutritionally enriched novel food products, and technological advancement in food processing to achieve zero hunger. An attempt has also been made to address the sustainability of various nonfarm technology utilized to minimize the global hunger crisis.
Emerging marine biotoxins such as ciguatoxins and pyrethroid compounds, widely used in agriculture, are independently treated as environmental toxicants. Their maximum residue levels in food components are set without considering their possible synergistic effects as consequence of their interaction with the same cellular target. There is an absolute lack of data on the possible combined cellular effects that biological and chemical pollutants, may have. Nowadays, an increasing presence of ciguatoxins in European Coasts has been reported and these toxins can affect human health. Similarly, the increasing use of phytosanitary products for control of food plagues has raised exponentially during the last decades due to climate change. The lack of data and regulation evaluating the combined effect of environmental pollutants with the same molecular target led us to analyse their in vitro effects. In this work, the effects of ciguatoxins and pyrethroids in human sodium channels were investigated. The results presented in this study indicate that both types of compounds have a profound synergistic effect in voltage-dependent sodium channels. These food pollutants act by decreasing the maximum peak inward sodium currents and hyperpolarizing the sodium channels activation, effects that are boosted by the simultaneous presence of both compounds. A fact that highlights the need to re-evaluate their limits in feedstock as well as their potential in vivo toxicity considering that they act on the same cellular target. Moreover, this work sets the cellular basis to further apply this type of studies to other water and food pollutants that may act synergistically and thus implement the corresponding regulatory limits taking into account its presence in a healthy diet.
Most people around the world have felt the effects of climate change on their quality of life. This study sought to achieve the maximum efficiency for climate change actions with the minimum negative impact on the well-being of countries and cities. The Climate Change and Country Success (C(3)S) and Climate Change and Cities’ Quality of Life (C(3)QL) models and maps of the world created as part of this research showed that as economic, social, political, cultural, and environmental metrics of countries and cities improve, so do their climate change indicators. For the 14 climate change indicators, the C(3)S and C(3)QL models indicated 68.8% average dispersion dimensions in the case of countries and 52.8% in the case of cities. Our research showed that increases in the success of 169 countries saw improvements in 9 climate change indicators out of the 12 considered. Improvements in country success indicators were accompanied by a 71% improvement in climate change metrics.
The current climate change is responsible for the growth in number of extreme climatic events like heat waves (HWs), which occur frequently with more intense effects. HW poses direct as well as indirect impact on health of population, urban heat island, air quality, and have consequences on the biological phenomena. Aim of this study is to review the available literature of research related to HW and its impact on human health and urban heat island. Science-direct is used as online database to identify the studies related to HW from 2000 to 2022 using the keyword HW impact, HW and mortality & HW extremes. To identify maximum variable information about HW and its effect throughout the world, during the extraction of articles, no constraints were added related to study area. Total 99 research articles are identified during online database search on science-direct using the mentioned keywords. After going through different inclusion and exclusion criteria, only 46 studies are included in this review article. After summarization, authors identified many effect categories, mainly were mortality, morbidity, thermal stress, air quality, biological consequences, effect of HW on demand of water and electricity, relationship between HW and Urban Heat Island, and HW related urban policies. It is observed on the basis of extracted articles that number of studies and publications on HW are increasing rapidly and sharp increase is observed in last decade. Present review clearly indicates that due to different natural and anthropogenic reasons, there is change in temperature range due to which the HW events are increasing and its studies are also increases. After reviewing the HW related articles it is recommended that it is right time to make some full proof strategies to adopt workplace heat stress standard and encourage people to planting a tree, installing cool and green roofs, etc.
One of the major classes of mycotoxins posing serious hazards to humans and animals and potentially causing severe economic impact to the cereal industry are the trichothecenes, produced by many fungal genera. As such, indicative limits for the sum of T-2 and HT-2 were introduced in the European Union in 2013 and discussions are ongoing as to the establishment of maximum levels. This review provides a concise assessment of the existing understanding concerning the toxicological effects of T-2 and HT-2 in humans and animals, their biosynthetic pathways, occurrence, impact of climate change on their production and an evaluation of the analytical methods applied to their detection. This study highlights that the ecology of F. sporotrichioides and F. langsethiae as well as the influence of interacting environmental factors on their growth and activation of biosynthetic genes are still not fully understood. Predictive models of Fusarium growth and subsequent mycotoxin production would be beneficial in predicting the risk of contamination and thus aid early mitigation. With the likelihood of regulatory maximum limits being introduced, increased surveillance using rapid, on-site tests in addition to confirmatory methods will be required. allowing the industry to be proactive rather than reactive.
Environmental risk factors that have an impact on the ocular surface were reviewed and associations with age and sex, race/ethnicity, geographical area, seasonality, prevalence and possible interactions between risk factors are reviewed. Environmental factors can be (a) climate-related: temperature, humidity, wind speed, altitude, dew point, ultraviolet light, and allergen or (b) outdoor and indoor pollution: gases, particulate matter, and other sources of airborne pollutants. Temperature affects ocular surface homeostasis directly and indirectly, precipitating ocular surface diseases and/or symptoms, including trachoma. Humidity is negatively associated with dry eye disease. There is little data on wind speed and dewpoint. High altitude and ultraviolet light exposure are associated with pterygium, ocular surface degenerations and neoplastic disease. Pollution is associated with dry eye disease and conjunctivitis. Primary Sjögren syndrome is associated with exposure to chemical solvents. Living within a potential zone of active volcanic eruption is associated with eye irritation. Indoor pollution, “sick” building or house can also be associated with eye irritation. Most ocular surface conditions are multifactorial, and several environmental factors may contribute to specific diseases. A systematic review was conducted to answer the following research question: “What are the associations between outdoor environment pollution and signs or symptoms of dry eye disease in humans?” Dry eye disease is associated with air pollution (from NO(2)) and soil pollution (from chromium), but not from air pollution from CO or PM(10). Future research should adequately account for confounders, follow up over time, and report results separately for ocular surface findings, including signs and symptoms.
Even among people who are not directly impacted by the consequences of climate change, perceptions about the ongoing crisis can have a negative effect on mental health and well-being. However, empirical evidence on interventions aiming to provide support is currently scarce. In order to address this issue, a pilot-RCT was carried out to investigate the effects of a novel ICBT treatment program. Sixty participants (23-73 years) were recruited and randomly allocated to eight weeks of therapist-supported ICBT (n = 30) or a wait-list control condition (n = 30). Measures of depressive symptoms, stress, and quality of life were used as primary outcomes, while measures of anxiety, insomnia, climate change-related distress, pro-environmental behaviour, and alcohol use were used as secondary outcomes. The treatment group had moderate to large between-group effects compared to the waitlist group on measures of depression (d = 0.87), stress (d = 0.76), quality of life (d = 0.79) and climate change-related distress (d = 0.79). There were no significant between-group differences on the other outcome measures. The results from this pilot-RCT indicate that individually tailored ICBT can be an effective way to reduce psychological distress associated with climate change without reducing pro-environmental behaviour.
The release of the 2021 Intergovernmental Panel on Climate Change (IPCC) report makes clear that human activities have resulted in significant alterations in global climate. There is no doubt that climate change is upon us; chronic global warming has been punctuated by more frequent extreme weather events. Humanity will have to mitigate climate change and adapt to these changing conditions or face dire consequences. One under-appreciated aspect of this global crisis is its impact on healthcare, particularly people with epilepsy and temperature-sensitive seizures. As members of the inaugural International League Against Epilepsy (ILAE) Climate Change Commission, we recount the personal motivations that have led each team member to decide to take action, in the hope that our journeys as ordinary clinicians and scientists will help persuade others that they too can act to foster change within their spheres of influence.
Using the expansion of a large-scale health-insurance program in Mexico and variation in local rainfall levels, this study explores whether the program-induced increase in healthcare coverage protected the cognitive attainment of primary school children in the event of adverse rainfall shocks. Results show that the universalization of healthcare mitigated the negative effect of atypical rainfall on test scores, particularly in more marginalized and rural areas. An analysis of the mechanisms at play shows a reduced incidence of sickness among children, lower demand for their time, and higher stability in household consumption among program-eligible families exposed to rainfall shocks.
Climate change is a wicked problem. It is valuable for those working in public health to understand the causes, impacts, and possible responses that affect human health. Educators disagree on effective pedagogical strategies that are both engaging and motivating for students. This research evaluated a course involving climate change and health taught to first-year undergraduate students using a survey codesigned and analyzed through a student-staff partnership. The survey found strong correlations between curiosity and interest in learning and motivation to act. The student respondents preferred educational delivery for best learning outcomes included accessible preparatory material, small group tutorials, and guest lecturers providing specialist disciplinary perspectives. The majority considered there is a link between learning about and subsequently acting on climate change, although a need was identified for educators to promote intrinsic motivation within students in addition to disseminating information in classes. In considering the human health impacts of complex health issues, this article provides a valuable capture of course design and teaching methods that can enhance students’ motivation to act beyond the completion of a university course.
Mosquito-borne viruses are leading causes of morbidity and mortality in many parts of the world. In recent years, modelling studies have shown that climate change strongly influences vector-borne disease transmission, particularly rising temperatures. As a result, the risk of epidemics has increased, posing a significant public health risk. This review aims to summarize all published laboratory experimental studies carried out over the years to determine the impact of temperature on the transmission of arboviruses by the mosquito vector. Given their high public health importance, we focus on dengue, chikungunya, and Zika viruses, which are transmitted by the mosquitoes Aedes aegypti and Aedes albopictus. Following PRISMA guidelines, 34 papers were included in this systematic review. Most studies found that increasing temperatures result in higher rates of infection, dissemination, and transmission of these viruses in mosquitoes, although several studies had differing findings. Overall, the studies reviewed here suggest that rising temperatures due to climate change would alter the vector competence of mosquitoes to increase epidemic risk, but that some critical research gaps remain.
Extreme weather episodes may increase the salience of climate change and worsen people’s well-being. Empirically studying these effects is however challenging, given limited data availability around difficult-to-predict such events. Addressing this issue, I use Google Trends information to assess how climate change salience and people’s wellness were affected by an unprecedented mid-July 2022 heatwave in the United Kingdom, when temperatures exceeded 40C for the first time in the country’s history. I document a significant rise in the search-intensity for ‘climate change’, as well as for ‘worry’ as a marker of psychological distress at the time of the heatwave. In contrast, I show that similar patterns did not emerge in 2019, when comparably high temperatures were recorded, but when the 40C-threshold was not exceeded. Taken together, my results suggest that the effects of the 2022 heatwave are partially driven by a climate anxiety mechanism, wherein extreme weather episodes constitute negative signals for climate change progression. I conclude by discussing several limitations of my study that future work may tackle.
Climate change is a threat multiplier, exacerbating underlying vulnerabilities, worsening human health, and disrupting health systems’ abilities to deliver high-quality continuous care. This review synthesizes the evidence of what the health care sector can do to adapt to a changing climate while reducing its own climate impact, identifies barriers to change, and makes recommendations to achieve sustainable, resilient health care systems.
OBJECTIVES: This is a case report of a huge hospital evacuation with 11 350 inpatients in the 2021 Zhengzhou flood in China, using a mixed methods analysis. METHODS: The qualitative part was a content analysis of semi-structured interviews of 6 key hospital staff involved in evacuation management. The evacuation experience was reviewed according to the 4 stages of disaster management: prevention, preparation, response, and recovery. RESULTS: Because of unprecedented torrential rain, the flood exceeded expectations, and there was a lack of local preventive measures. In preparation, according to the alert, the evacuation was planned to reduce the workload on inpatients and to accept the surge of medical needs by the flood. In response, the prioritization of critically ill patients and large-scale collaboration of hospital staff, rescue teams, and accepting branch made it possible to successfully transfer all 11 350 inpatients. In recovery, restoring medical services and a series of activities to improve the hospital’s vulnerability were carried out. CONCLUSIONS: A hospital evacuation is one of the strategies of the business continuity plan of a hospital. For the evacuation, leadership and collaboration were important. Challenges such as prolonged roadway flooding and the infrastructure issues were needed to be addressed throughout the evacuation process.
Environmental pollution and greenhouse gas emissions that contribute to climate change have adverse impacts on global health. Somewhat paradoxically, health care systems that aim to prevent and cure disease are themselves major emitters and polluters. In this paper we develop a justification for the claim that solidaristic health care systems should include sustainability as one of the criteria for determining which health interventions are made available or reimbursed – and which not. There is however a complication: most adverse health effects due to climate change do occur elsewhere in the world. If solidarity would commit us to take care of everyone’s health, worldwide, it might imply that solidaristic health system cannot justifiably restrict universal access to their own national populations. In response we explain health solidarity is to be considered as a moral ideal. Such an ideal does not specify what societies owe to whom, but it does have moral implications. We argue that ignoring sustainability in political decision making about what health care is to be offered, would amount to betrayal of the ideal of solidarity.
The transition from fossil-fuel-based internal combustion vehicles to electric vehicles plays a key role to decarbonize road transport and mitigate climate change. Even though this transition is still in its infancy, it is important to consider not only its environmental benefits but also its potential side effects. The current electric vehicle fleet is expected to increase from 2.4 million in 2020 to 81 million in 2050 (Slowik et al., How technology, recycling, and policy can mitigate supply risks to the long-term transition to zero-emission vehicles. International Council on Clean Transportation. https://theicct.org/publi cation/how-technology-recycling-andpolicy-can-mitigate-supply-risks-to-the-long-term-transition-to-zero-emission-vehic les. Accessed 14 Feb 2022, 2020), when more than half of all new cars sold are predicted to be battery-electric vehicles (BEVs). End-of-life (EOL) BEVs and their components (particularly the batteries) are far more challenging to manage than their fossil-fueled predecessors as they contain large amounts of chemical substances that constitute potential hazards to the environment and human health and safety. The paper discusses relevant topics for understanding future risks of transition to electric mobility in the Global South countries, which include the internationally used vehicle fluxes; waste management challenges for EoL BEV and its lithium-ion batteries (LIB); environmental and human health impacts of EoL LIBs disposal and policies and regulations for the e-vehicle life cycle. Recommendations to support the development of science-based policies to close regulation gaps of the used electric vehicle international trade flow, avoid pollution-shifting and guarantee a sustainable transition to e-mobility in the Global South countries are given. As a conclusion, an integrated approach from international and national stakeholders is fundamental to guarantee strong policies and regulations as well as to support the development of a sound management of EoL EV and LIBs in the Global South countries and help pave the way to a global circular economy.
With the increasing global climate change, ochratoxin A (OTA) pollution in food and environment has become a serious and potential risk element threatening food safety and human health. Biodegradation of mycotoxin is an eco-friendly and efficient control strategy. Still, research works are warranted to develop low-cost, efficient, and sustainable approaches to enhance the mycotoxin degradation efficiency of microorganisms. In this study, the activities of N-acetyl-L-cysteine (NAC) against OTA toxicity were evidenced, and its positive effects on the OTA degradation efficiency of antagonistic yeast, Cryptococcus podzolicus Y3 were verified. Co-culturing C. podzolicus Y3 with 10 mM NAC improved 100% and 92.6% OTA degradation rate into ochratoxin α (OTα) at 1 d and 2 d. The excellent promotion role of NAC on OTA degradation was observed even at low temperatures and alkaline conditions. C. podzolicus Y3 treated with OTA or OTA+NAC promoted reduced glutathione (GSH) accumulation. GSS and GSR genes were highly expressed after OTA and OTA+NAC treatment, contributing to GSH accumulation. In the early stages of NAC treatment, yeast viability and cell membrane were reduced, but the antioxidant property of NAC prevented lipid peroxidation. Our finding provides a sustainable and efficient new strategy to improve mycotoxin degradation by antagonistic yeasts, which could be applied to mycotoxin clearance.
Recently, the seriousness of global warming has become increasingly prominent worldwide. In this study, Hsian-tsao, a safe, heat-resistant ingredient that can be eaten and applied, and its extract products were examined for their potential applicability as a countermeasure for problems that may arise in the skin due to global warming. This includes being flexible and responsive to changes in consumer demand due to global warming. Furthermore, regarding global warming, the scientific community is considering ways to mitigate heat stress in humans and animals, and we hope to provide key data for future exploration. Although this review is a narrative review, we conducted a systematic review and searched sources such as PubMed, Medline, Scopus, ResearchGate, and Google Scholar according to PRISMA flow chart guidelines and using a chain of search words such as “global warming”, “green industry”, “Hsian-tsao”, “heat resistance”, “skin health”, “cosmetics”, and “consumer”. Accordingly, we searched a total of 1231 studies and selected 107 studies in the final stage. Considering the sustainability and safeness of Hsian-tsao, further studies to help mitigate human heat stress caused by global warming and evaluate its impact on beauty and health should analyze its utilization and reflect consumer needs that can contribute to the green industry. Therefore, in a situation where the growth of the green industry is urgently needed due to the acceleration of global warming, additional research is necessary on inner-beauty materials and heat-resistant plants that lower the temperature in line with future preparations for continuous global warming. Accordingly, the science community and nutrition, inner beauty, and cosmetics industries seem likely to bring more interest to the green industry, and this trend will continue in the future. We hope that Hsian-tsao will be used in a variety of skin health strategies and nutritional approaches to global warming and heat resistance.
The Declaration of Alma-Ata in 1978 and the subsequent Declaration of Astana in 2018 highlight the important role of primary health care in delivering ‘health for all’ and supporting progress towards universal health coverage. Alongside these key declarations, the United Nations’ Sustainable Development Goals (SDGs) establish an ambitious framework aimed at promoting sustainable development worldwide by addressing poverty, inequality, climate change, health and other global challenges by 2030. There has been progress in respect of many SDGs since their launch in 2015. Nevertheless, many challenges remain, and there will need to be a significant increase in effort if the 2030 targets are to be met in full. Primary health care in Malaysia has evolved in line with broader, global developments. Nonetheless, there are opportunities for the country’s primary care physicians to do more to support efforts to achieve the SDGs, including those that extend beyond the health sector as conventionally defined. This paper outlines a number of areas where primary care physicians, fulfilling roles as clinicians, community members, managers of their practices and influential members of society, can contribute to promoting sustainable development in line with the SDG agenda.
PurposeAmong the Sustainable Development Goals (SDG), the global warming and malnutrition relationship relies on food consumption patterns. It calls for a decisive change in food consumption patterns by offering nutritionally adequate, acceptable, affordable, and environmentally friendly menus in massive food services. Therefore, the research question can be defined as: Are there menus considering several servings, nutritionally adequate, acceptable, affordable, and environmentally friendly?MethodsTo address this problem, we focus on the dilemma between minimizing the equivalent carbon dioxide (CO(2)eq) emitted in the entire production process of a menu, the monthly acquisition cost, and the selection of the most nutritionally adequate menu possible. Specifically, we formulated three multi-objective quadratic mixed integer programming (QMIP) models: (i) minimization of CO(2)eq emissions and the selection of the most nutritionally adequate menu possible, (ii) minimization of the monthly acquisition cost of the system and the selection of the most nutritionally adequate menu possible, and (iii) the weighting of CO(2)eq emissions, the monthly acquisition cost, and the selection of the most nutritionally adequate menu possible. All are subject to the same nutritional constraints, operational requirements, and cultural acceptability. Chile is the case study to illustrate the proposal’s usefulness, which is one of the wealthiest countries in the Global South with the highest prevalence of overweight. In addition, Chile has addressed various international initiatives, where greenhouse gas reduction is one of the most important commitments. Consequently, alternatives to change food consumption patterns are required. We selected a prestigious Chilean public university in Santiago, which houses all the communities on a single campus. The university offers a daily lunch menu consisting of a starter, main dish, and dessert, considering a set of nutritional aspects: proteins, lipids, carbohydrates, saturated fatty acids, fiber, cholesterol, sodium, and calories.ResultsAs a result of the 6-month optimization, minimizing acquisition costs proposes cheaper menus with higher CO(2)eq emissions than those proposed by the emission minimization. However, when both objective functions are weighted by 50%, results reach saved costs equivalent to 53,030 USD and emission reduction by around 94,900 kg CO(2)eq in the 6 months, compared to the data the menus delivered by the university.ConclusionsIt shows that, despite assessing conflicting objectives, it is possible to design nutritionally adequate, acceptable, affordable, and environmentally friendly menus for the case study presented. Future research considers solution approaches for multi-objective optimization as genetic algorithms and includes maximizing the number of servings to deliver.
Populations living in rural sub-Saharan Africa (SSA) increasingly face negative climate change impacts on their nutrition and health status. For smallholder farming families, home gardens can serve as an adaptation strategy, by offsetting climate change-related harvest losses and diversifying households’ diets. The present study aimed to identify perceptions and experiences among rural caregivers of children under five years and local stakeholders working in the fields of agriculture or nutrition with regard to home gardening in Siaya County, Kenya. Thirty in-depth interviews with caregivers of young children and 26 interviews with local stakeholders were conducted, using a semi-structured interview guide. The data were analysed employing inductive content analysis. Caregivers and local stake-holders perceived home gardens as beneficial for the households’ nutrition, finances, and women empowerment. However, they also pointed to five major challenges in the process of establishing and maintaining home gardens: 1) water scarcity, 2) limited financial capital, 3) demanding physical labour, 4) limited land avail-ability/control, and 5) lack of knowledge and technical support. For the design of sustainable home gardens, we identified four components as essential at the implementation stage: 1) locally available material and resources, 2) strong community collaboration and co-design, 3) comprehensive capacity building, 4) and lasting local partnerships. In conclusion, the establishment and sustained management of home gardens in Siaya County require a holistic, participatory and multi-actor approach. This will facilitate the provision of essential inputs and activities to ensure a sense of ownership and responsibility.
With ongoing global warming, heatwave-related disasters are on the rise, exerting a multifaceted impact on both the natural ecosystem and human society. While temperature has been extensively studied in the effects of extreme heat on human health, humidity has often been ignored. It is crucial to consider the combined influence of temperature and humidity when assessing heatwave risks and safeguarding human well-being. This study, leveraging remote sensing products and reanalysis data, presented the first analysis of the spatiotemporal variations in global human-perceived heatwaves on a seasonal scale from 2000 to 2020, and further employed the Random Forest (RF) regression model to quantitatively assess the explanatory power of seven driving factors. The study found that since the 21st century (1) changes in Heat Index (HI) have varied significantly worldwide, with the majority of regions witnessing an increase, particularly at higher latitudes. The largest HI-increasing area was observed in the second quarter (S2), while the overall HI increase peaked in the third quarter (S3); (2) except for the decreasing area of none-risk regions, the regions under all other risk levels expanded (the proportion of high-risk areas in the world increased from 2.97% to 3.69% in S2, and from 0.04% to 0.35% in the fourth quarter (S4)); (3) aspect demonstrated the greatest explanatory power for the global heatwave distribution (0.69-0.76), followed by land-use coverage (LUCC, 0.48-0.55) and precipitation (0.16-0.43), while the explanatory power of slope and nighttime light (NTL) was rather low; (4) over the years, the explanatory power of each factor for heatwave distribution underwent a minor decrease without significant trend, but exhibited seasonal periodicity. Climatic factors and LUCC were most impactful in the first quarter (S1), while DEM and other human factors dominated in S2; and (5) interaction factors showed no significant trends over the years, but the explanatory power of DEM and slope increased notably when interacting with climate factor, aspect, and LUCC, respectively. The interactions between the aspect and LUCC with precipitation yielded the highest explanatory power (above 0.85) across all interactions. To effectively tackle heatwave risks, it is suggested to concentrate on high-latitude regions, reinforce land use and urban planning with eco-friendly strategies, scrutinize the interplay between precipitation and heatwaves, capitalize on topographic data for devising well-informed prevention measures, and tailor response strategies to accommodate seasonal fluctuations. This study offers valuable insights for enhancing climate change adaptation, disaster prevention, and mitigation strategies, ultimately contributing to the alleviation of extreme heatwaves and risk reduction.
BACKGROUND: There is emerging evidence that air pollution exposure increases the risk of developing liver cancer. To date, there have been four epidemiologic studies conducted in the United States, Taiwan, and Europe showing generally consistent positive associations between ambient exposure to air pollutants, including particulate matter <2.5 μm in aerodynamic diameter (PM(2.5)) and nitrogen dioxide (NO(2)), and liver cancer risk. There are several research gaps and thus valuable opportunities for future work to continue building on this expanding body of literature. The objectives of this paper are to narratively synthesize existing epidemiologic literature on the association between air pollution exposure and liver cancer incidence and describe future research directions to advance the science of understanding the role of air pollution exposure in liver cancer development. FUTURE RESEARCH DIRECTIONS: include 1) accounting for potential confounding by established risk factors for the predominant histological subtype, hepatocellular carcinoma (HCC); 2) examination of incident primary liver cancer outcomes with consideration of potential differential associations according to histology; 3) air pollution exposure assessments considering early-life and/or historical exposures, residential histories, residual confounding from other sources of air pollution (e.g., tobacco smoking), and integration of geospatial ambient exposure modeling with novel biomarker technologies; 4) examination of air pollution mixtures experienced in the exposome; 5) consideration of increased opportunities for exposure to outdoor air pollution due to climate change (e.g., wildfires); and 6) consideration of modifying factors for air pollution exposure, such as socioeconomic status, that may contribute to disparities in liver cancer incidence. CONCLUSIONS: In light of mounting evidence demonstrating that higher levels of air pollution exposure increase the risk for developing liver cancer, methodological considerations primarily concerning residual confounding and improved exposure assessment are warranted to robustly demonstrate an independent association for air pollution as a hepatocarcinogen.
Global warming has been affecting human health, including direct mortality and morbidity from extreme heat, storms, drought, and indirect infectious diseases. It is not only “global” but extremely “personal”-it is a matter of life and death for many of us. In this perspective, we propose the use of wearable technologies for localized personal thermoregulation as an innovative method to reduce the impact on health and enable wider adaptability to extreme thermal environments. The state-of-the-art thermoregulation methods and wearable sensing technologies are summarized. In addition, the feasibility of thermoregulation technology in preventive medicine for promoting health under climate change is comprehensively discussed. Further, we provide an outlook on health-oriented closed loop that can be achieved based on parallel thermoregulation and multiple data inputs from the physiological, environmental, and psychological cues, which could promote individuals and the public to better adapt to global warming.
Due to global warming, an increased number of open fires is becoming a major contributor to PM(2.5) pollution and thus a threat to public health. However, the burden of stillbirths attributable to fire-sourced PM(2.5) is unknown. In low- and middle-income countries (LMICs), there is a co-occurrence of high baseline stillbirth rates and frequent firestorms, which may lead to a geographic disparity. Across 54 LMICs, we conducted a self-matched case-control study, making stillbirths comparable to the corresponding livebirths in terms of time-invariant characteristics (e.g., genetics) and duration of gestational exposure. We established a joint-exposure-response function (JERF) by simultaneously associating stillbirth with fire- and non-fire-sourced PM(2.5) concentrations, which were estimated by fusing multi-source data, such as chemical transport model simulations and satellite observations. During 2000-2014, 35,590 pregnancies were selected from multiple Demographic and Health Surveys. In each mother, a case of stillbirth was compared to her livebirth(s) based on gestational exposure to fire-sourced PM(2.5). We further applied the JERF to assess stillbirths attributable to fire-sourced PM(2.5) in 136 non-Western countries. The disparity was evaluated using the Gini index. The risk of stillbirth increased by 17.4% (95% confidence interval [CI]: 1.6-35.7%) per 10 μg/m(3) increase in fire-sourced PM(2.5). In 2014, referring to a minimum-risk exposure level of 10 μg/m(3), total and fire-sourced PM(2.5) contributed to 922,860 (95% CI: 578,451-1,183,720) and 49,951 (95% CI: 3,634-92,629) stillbirths, of which 10% were clustered within the 6.4% and 0.6% highest-exposure pregnancies, respectively. The Gini index of stillbirths attributable to fire-sourced PM(2.5) was 0.65, much higher than for total PM(2.5) (0.28). Protecting pregnant women against PM(2.5) exposure during wildfires is critical to avoid stillbirths, as the burden of fire-associated stillbirths leads to a geographic disparity in maternal health.
It is well-known that women, children, and other intersectional and marginalised social groups are disproportionately impacted by ‘non-economic wellbeing loss’ in the context of climatic changes. However, few empirical studies investigate its interrelation with violence against women and children (VAWC). We urgently need to widen our perceptions of what falls under the umbrella term ‘Non-Economic Loss (and Damage)’, NEL(D)s, for societies to appropriately be able to avert, minimise, and address losses and damages among vulnerable people. Through stories of loss and healing, we step into the realities of illustrating how women and children experience non-economic wellbeing loss within a climate-violence nexus in Bangladesh, Fiji, and Vanuatu. A storytelling and systems analysis approach guided the analysis of personal narratives gathered through a secondary data review and empirical field work. The research findings identified different pathways through which women and children’s mental health was compromised in the context of structural violence and climatic risks. In Bangladesh, the narratives described wellbeing erosion in the context of gendered (im)mobility; in Fiji, the findings captured women’s and children’s experiences of sexual violence, domestic abuse, exploitation, and trafficking in the context of natural hazards, while in Vanuatu, hardship, gendered dependence, and healing were narrated by women in their stories surrounding disaster recovery. This article comprehensively lays out the longer-term societal wellbeing consequences of climatic changes and gender-based violence. It also identifies research gaps in need of further attention and proposes policy recommendations as well as methodological and disaster health service solutions to address wellbeing loss in a climate changed future.
Floods generated by rain cause significant economic and human losses. The campus of the Escuela Superior Politecnica del Litoral (ESPOL) has a drainage system that conducts stormwater to two discharge points outside the campus. The system works effectively at the macro-drainage level. However, a very crowded area is deficient at the micro-drainage level, which has registered flooding and the proliferation of vectors that affect people’s health. This work aimed to design a masterplan for stormwater sewerage by analyzing the existing situation and applying technical criteria that allow the establishment of solutions and strategies to control floods at the university campus. The methodology consisted of: (i) data collection and processing for the stormwater drainage system diagnosis; (ii) a design proposal for micro-drainage and (iii) a SWOT analysis to propose improvement strategies in water management. The resulting flows for return periods of 5 years, 10 years, and 25 years are 9.67 m(3)/s, 11.85 m(3)/s, and 15.85 m(3)/s, respectively. In the latter, as the most critical area (presence of flooding), the implementation of a trapezoidal channel 80.20 m long, with a capacity of 1.00 m(3)/s, for a return period of 25 years was proposed. The stormwater masterplan will contribute to the execution of activities within the campus and prevent accidents and the proliferation of diseases, constituting a water-management model that can be replicated locally, regionally, and internationally.
Starvation and malnutrition are one of the most destructive problems faced by the poor and needy in the world. With the world population expected to increase by 9.7 billion by 2050, there are growing concerns about the long-term sustainability of many existing food production systems to meet future needs for food. Aquaculture is one of the important sources of food supply, the development of which is of great importance as an important weapon in the global fight against malnutrition and poverty, especially in developing countries and arid and semi-arid regions of the world. In recent decades, aquaculture has dominated all sectors of livestock production in terms of growth and increasingly contributes to food security, poverty reduction, job creation and sources of income. It is important to follow sustainable development goals to increase aquaculture production. Climate change is currently affecting food security through increasing temperature and decreasing rainfall, especially in arid and semi-arid regions. Food security is a global concern and access to affordable, nutritious, safe and properly cultivated food is one of the most important issues globally. The main emphasis in the development of aquaculture in arid and semi-arid areas is the use of new technologies based on water saving, such as biofloc technology (BFT), integrated multi-trophic aquaculture system (IMTA) and recirculating aquaculture systems (RAS). In this study, the importance of aquaculture as a sustainable source of food production in arid and semi-arid regions is discussed.
Social learning theory can support understanding of how a group of diverse actors addresses complex challenges related to public health adaptation. This study focuses on one specific issue of public health adaptation: oak processionary moth (OPM) adaptation. With a social learning framework, we examined how public health adaption strategies gradually develop and are adjusted on the basis of new knowledge and experiences. For this qualitative case study, data were collected through 27 meetings of the Processionary Moth Knowledge Platform in the Netherlands and six additional interviews. Results indicate that relations between stakeholders, including experts played a major role in the learning process, facilitating the development and implementation of OPM adaptation and connecting local challenges to national adaptation strategies. Uncertainties regarding knowledge and organization were recurrent topics of discussion, highlighting the iterative and adaptive nature of public health adaptation. The study emphasizes the importance of building relationships among stakeholders and small steps in the learning process that can lead to the creation of new strategies and, if successful, the prevention of negative health impacts.
Climate change is a major global threat to human health and puts tremendous pressure on health systems. Therefore, a resilient health system is crucial to enhance, maintain, and restore the population’s health. This study aimed to identify interventions and actions to strengthen a climate-resilient health system to deal with the adverse health effects of climate change. METHOD: This study was a scoping review. Five databases and Google Scholar search engine were searched using relevant keywords. Initially, 4945 documents were identified, and 105 were included in the review. Content thematic analysis method was applied using MAXQDA 10 software. RESULTS: Overall, 87 actions were identified for building a climate-resilient health system and were classified into six themes (i.e., governance and leadership; financing; health workforce; essential medical products and technologies; health information systems; and service delivery). The most commonly reported actions were formulating a national health and climate change adaptation plan, developing plans for essential services (electricity, heating, cooling, ventilation, and water supply), assessing the vulnerabilities and capacities of the health system, and enhancing surveillance systems targeting climate-sensitive diseases and their risk sources. CONCLUSIONS: A holistic and systemic approach is needed to build a climate-resilient health system owing to its complex adaptive nature. Strong governance and leadership, raising public awareness, strategic resource allocation, climate change mitigation, emergency preparedness, robust health services delivery, and supporting research, are essential to building a climate-resilient health system.
Blue foods, primarily coastal pelagic fish, reef fish, and invertebrates, are integral to coastal food systems in Pacific Island Countries and Territories (PICTs) and are increasingly embedded in food policy platforms. This paper discusses the collaborative development of a Blue Food Assessment for the Pacific (BFA-P). The BFA-P aims to strengthen the role of blue foods in food systems thinking and actions in PICTs in the face of climate change, a dependence on food imports, and high rates of diet-related non-communicable diseases. It focuses on six main research themes that support a coastal food systems approach to improve environmental outcomes, nutrition and human health, and social and economic objectives in PICTs. Climate change, effective governance, innovative partnerships, and equity underpin all areas of research. Combining current scientific evidence with traditional and indigenous knowledge will be essential for sustaining coastal Pacific food systems and the long-term resilience and prosperity of Pacific people.
Implementing China’s climate-change mitigation and adaptation measures demands citizens’ recognition and participation. This study investigated the strengths and gaps of climate-change perceptions of Beijing’s citizens by a questionnaire survey. Responses were sought on 36 perceptions under three domains: causes, impacts, and countermeasures. The influence of underlying factors, self-rated health status and current and childhood living environments, were explored by non-parametric statistical tests. Self-rated health status strongly influenced two causes (deforestation, releasing carbon dioxide), two countermeasures (responsibility to do something to tackle climate change, officials ignored the issue of climate change), and none for impacts. Childhood city-living strongly affected the perceptions of some climate-change causes. However, childhood living environments did not affect impacts and countermeasures. A typology of residents’ perception patterns was proposed. Respondents registered perception forte, especially for the common causes. Perception disconnection was detected for the linkage between two causes: resource consumption and fossil-fuel use. Perception deficit was shown for three causes: nitrous oxide release, methane emission, and urbanization. A strong collateral perception was found between the impacts of health-related issues and extreme weather. Perception discord was established between impacts on food production and agricultural pest problems. For countermeasures, the strongest perceptions were expressed for taking personal actions, changing behavior, and supporting the government. Such responses signified altruistic personal mitigation commitments and the manifestation of civic duties. The findings could inform the formulation of climate-change public policies and public education programs to nurture a climate-resilient city.
This project report describes the development and evaluation of an interactive seminar on the topic “medical effects of climate change on children’s health”. OBJECTIVES: The learning objectives are learning the basics and the direct and indirect connections between climate change and children’s health. Future scenarios for affected children, parents and doctors are developed interactively. Subsequently, communication strategies concerning climate change are discussed so that students identify and analyze possibilities to become active. METHODOLOGY: The seminar was offered as an obligatory seminar for a total of 128 third-year medical students with one appointment of 45 minutes per course group as part of the interdisciplinary seminar series “Environmental Medicine”. A course group consisted of 14 to 18 students. The seminar for the 2020 summer semester was developed as part of the interdisciplinary field of environmental medicine with the special feature of an interactive role play. The role play intends to give the students the opportunity to put themselves in the situation of affected children, parents and doctors of the future in order to develop detailed solution strategies. From 2020 to 2021, the seminar took place as online self-study due to the lockdown requirements. Since winter semester 2021/22, the seminar was held as an attendance event for the first time, although the switch to an online presence seminar with obligatory attendance had to take place after four seminar dates due to renewed lockdown requirements, which also took place four times. The evaluated results here refer to a total of eight dates in the winter semester 2021/22 and were carried out using a specially developed questionnaire, which was filled out voluntarily and anonymously by the students immediately after the respective seminar date. An overall grade as well as the appropriateness of the time and content of lectures and role play were asked for. Free text answers were possible for each question. RESULTS: A total of 83 questionnaires were evaluated, 54 of which were from the four seminars in attendance, 15 were from the four online presence seminars that took place as an online live stream. The evaluation of the seminar resulted in an average grade of 1.7 for the face-to-face seminars and 1.9 for the online seminars. Content-related comments in the free-text answers addressed the desire for concrete solution strategies, more time for discussions and a more in-depth study of the topic. Numerous positive responses described the seminar as “very exciting”, “good food for thought”, “interesting and important topic”. CONCLUSION: There is a very high interest on the topic of “climate change & health” among students There is an obvious need to integrate the topic on a larger scale into medical education. Ideally, the focus on children’s health should be an integral part of the pediatric curriculum.
Human perception of the meteorological environment is an important research area in the context of global climate change. Human physical and mental health can be affected by the meteorological environment, which can manifest in emotional responses. The experiment was conducted at spring in Hangzhou West Lake Scenic Area (China). Three types of weather circumstances were examined by four emotional measures. The purpose of this study was to examine how meteorological parameters influence an individual’s emotional perception, such as air temperature, ground temperature, wind direction, precipitation, and relative humidity. Box plots were used to examine the distribution of scores on each emotional scale index. Perceptual models of positive, negative, regenerative, state anxiety, trait anxiety, and subjective vitality were developed using multiple linear regressions. The results indicate that meteorological conditions have a significant impact on human emotions: (1) there are other meteorological factors that affect individual emotions, besides precipitation; (2) the meteorological factors do not affect negative emotions; and (3) on sunny days, subjective energy and positive emotions are stronger, and on rainy days, perceptions of recovery are more favorable.
Thermal health concerns have gained significant attention due to the heightened health risks faced by workers who are exposed to extreme thermal environments for prolonged periods. To ensure the occupational health and safety of such workers, and to enhance work efficiency, it is imperative to examine the characteristics of thermal health in the working environment. This study proposes three key elements of thermal health in the working environment, namely thermal health states, absence of heat-related illnesses, and heat adaptability, which can be used to develop a safety management framework for thermal health. By exploring the interconnections between these elements, the study summarizes their features and outlines the necessary precautions to safeguard them. The PDCA (plan/do/check/action) cycle management mode is utilized as a framework, with the three components of thermal health forming the core, to establish a safety management mode for thermal health. To ensure that employees work in a safe, healthy, comfortable, and productive environment, the assessment and control objectives of the thermal environment are regularly revised through the use of labor protection technology and thermal environment control technology. This paper presents a PDCA cycle safety management mode based on the characteristics of thermal health, which offers novel insights and approaches for assessing and managing workers’ thermal health.
Recently, we developed seasonal prediction schemes with improved skill to predict tropical cyclone (TC) activity up to 3 months in advance for the Solomon Islands (SI) region (5 & DEG;-15 & DEG;S, 155 & DEG;-170 & DEG;E) using sophisticated Bayesian regression techniques. However, TC prediction at subseasonal timescale (i.e., 1-4 weeks in advance) is not being researched for that region despite growing demands from decision makers at sectoral level. In this paper, we first assess the feasibility of developing subseasonal prediction frameworks for the SI region using a pool of predictors that are known to affect TC activity in the region. We then evaluate multiple predictor combinations to develop the most appropriate models using a statistical approach to forecast weekly TC activity up to 4 weeks in advance. Predictors used include indices of various natural climate variability modes, namely the Madden-Julian Oscillation (MJO), the El Nino-Southern Oscillation (ENSO), the Indian Ocean Dipole (IOD) and the Interdecadal Pacific Oscillation (IPO). These modes often have robust physical and statistical relationships with TC occurrences in the SI region and the broader southwest Pacific territory as shown by preceding studies. Additionally, we incorporate TC seasonality as a potential predictor given the persistence of TCs occurring more in certain months than others. Note that a model with seasonality predictor alone (hereafter called the “climatology” model) forms a baseline for comparisons. The hindcast verifications of the forecasts using leave-one-out cross-validation procedure over the study period 1975-2019 indicate considerable improvements in prediction skill of our logistic regression models over climatology, even up to 4 weeks in advance. This study sets the foundation for introducing subseasonal prediction services, which is a national priority for improved decision making in sectors like agriculture and food security, water, health and disaster risk mitigation in the Solomon Islands.
Historical extreme heatwaves struck the Yangtze River Valley (YRV) in the boreal summer of 2022, severely impacting agricultural production, electricity supply, and resident health in China. This study shows that extreme heatwaves recurred over the YRV with distinct subseasonal processes. In early summer, from 14 June to 18 July, two extreme heatwaves were embedded in a mid-latitude 10-25-day intraseasonal oscillation (ISO), and hot-and-wet anomalies persisted over the YRV. A self-sustaining mechanism between the “cold vortex” over Northeast China and the “heat dome” around the YRV maintained this bi-weekly ISO. It fueled the heatwaves by modulating the meridional advection of upper-tropospheric potential vorticity, which firstly warmed the air via adiabatic processes and then later by diabatic heating. In late summer, from 30 July to 29 August, a 30-50-day ISO impacted the heatwave and drought over the YRV. This ISO originated from monsoon convection in the tropics, which regulated the meridional monsoonal circulation and enhanced the heatwave by intensifying the descending air motion and adiabatic heating over the YRV. The alternation of the two ISOs accompanied the northward migration of the subtropical westerly jet over East Asia. The combination of the above-normal 10-25 -day ISO and the moderate 30-50-day ISO led to the three consecutive extreme YRV heatwaves in 2022.
Urban heat islands, where temperatures are elevated relative to non-urban surrounds, are near-ubiquitous in cities globally. Yet, the magnitude and form of urban heat islands in the tropics, where heat has a large morbidity and mortality burden, is not well understood, especially for those of urban informal settlements. We used 29 years of Landsat satellite-derived surface temperature, corroborated by in situ temperature measurements, to provide a detailed spatial and temporal assessment of urban heat islands in Makassar, Indonesia, a city that is representative of rapidly growing urban settlements across the tropics. Our analysis identified surface urban heat islands of up to 9.2 °C in long-urbanised parts of the city and 6.3 °C in informal settlements, the seasonal patterns of which were driven by change in non-urban areas rather than in urban areas themselves. In recently urbanised areas, the majority of urban heat island increase occurred before land became 50% urbanised, whereas the established heat island in long-urbanised areas remained stable in response to urban expansion. Green and blue space protected some informal settlements from the worst urban heat islands observed across the city and maintenance of such space will be essential to mitigate the growing heat burden from urban expansion and anthropogenic climate change. Settlements further than 4 km from the coast and with Normalised Difference Vegetation Index (NDVI) less than 0.2 had higher surface temperatures, with modelled effects of more than 5 °C. Surface temperature measurements were representative of in situ heat exposure, measured in a subset of 12 informal settlements, where mean indoor temperature had the strongest relationship with surface temperature (R(2) = 0.413, P = 0.001). We advocate for green space to be prioritised in urban planning, redevelopment and informal settlement upgrading programs, with consideration of the unique environmental and socioeconomic context of tropical cities.
Prior studies of hand, foot, and mouth disease (HFMD) have often observed inconsistent results regarding meteorological factors. We propose the hypothesis that these meteorological associations vary in regions because of the heterogeneity of their geographical characteristics. We have tested this hypothesis by applying a geographical detector and Bayesian space-time hierarchy model to measure stratified spatiotemporal heterogeneity and local associations between meteorological factors and HFMD risk in five climate zones in China from January 2016 to December 2017. We found a significant spatial stratified heterogeneity in HFMD risk and climate zone explained 15% of the spatial stratified heterogeneity. Meanwhile, there was a significant temporal stratified heterogeneity of 14% as determined by meteorological factors. Average temperatures and relative humidity had a significant positive effect on HFMD in all climate zones, they were the most obvious in the southern temperate zone. In northern temperate, southern temperate, northern subtropics, middle subtropics and southern subtropics climate zone, a 1 °C rise in temperature was related to an increase of 3.99%, 13.76%, 4.38%, 3.99%, and 7.74% in HFMD, and a 1% increment in relative humidity was associated with a 1.51%, 5.40%, 2.21%, 3.44%, and 4.78% increase, respectively. These findings provide strong support for our hypotheses that HFMD incidence has a significant spatiotemporal stratified heterogeneity and different climate zones have distinct influences on the disease. These findings provide strong support for our hypotheses: HFMD incidence had significant spatiotemporal stratified heterogeneity and different climate zones had distinct influences on it. The study suggested that HFMD prevention and policy should be made according to meteorological variation in each climate zone.
A fast temperature rise has made the Middle East and North Africa (MENA) region a global hotspot of extreme heat events. Previous studies conducted in the region to evaluate extreme heat based on temperature were inadequate for assessing heat based on human thermal impacts. The present study employed the Universal Thermal Climate Index (UTCI). This index evaluates the changes in heat related to human thermal stress in MENA. This analysis employed the ERA5-HEAT dataset, derived from the Copernicus climate change service portal. The results showed that all the regions experienced an average daily UTCI representing extreme heat stress for 1 to 25 days. The daily maximum UTCI goes to the extreme level on average of 1 to 175 days a year, with the highest in the east and southwest. The annual mean UTCI in MENA is increasing from 0.1 to 0.7 degrees C/ decade, with the highest increase in the northeast, covering eastern Saudi Arabia and most parts of Iraq and Syria. This caused a decrease in cold stress and an increase in hot stress days, with the highest increase in strong thermal stress days in the range of 4 to 16 days/decade in most of MENA. The trend in daily maximum UTCI also showed an increase in the range of 0.1 to 0.6 degrees C/decade, which caused an increase in the number of daily maximum UTIC above 46 degrees C or extreme level by 1 to 16 days/per decade, with the highest increase in central Saudi Arabia, northern Sudan and southern Mauritania. This study is the first to investigate UTCI trends in the MENA region and is expected to provide valuable information on hotspots and temporal trends in UTCI, serving as a foundation for future heat action plans to prevent heat-related illnesses throughout the region.
Global warming causes a temperature rise and alteration of other meteorological variables that directly or indirectly affect human comfort. The wet bulb globe temperature (WBGT) incorporates the effects of multiple meteorological variables to provide a reliable measure of human thermal stress. Despite the large significance of WBGT on public health, studies related to characterization and trends assessment of WBGT are limited in the tropical humid region like Peninsular Malaysia due to the unavailability of all meteorological variables required for such analysis. This study employed reanalysis meteorological data of ERA5 to assess the characteristics and changes in hourly, daily, monthly, seasonal and annual outdoor WBGT over peninsular Malaysia for the period 1959-2021 using the Liljegren method. The WBGT values were classified into five categories to assess the human thermal stress levels defined by the United States Department of the Army (USDA). The mean daily WBGT in PM varies from 21.5 degrees C in the central south elevated region to 30.5 degrees C in the western coastal region. It always reaches a heat-related illness risk level (31.20 degrees C) in the afternoon during monsoon and extreme stress conditions during inter-monsoonal periods. The trend analysis revealed an increase in WBGT for all the time scales. The higher increase in the mean and maximum WBGT was estimated in the coastal and south regions, nearly by 0.10 to 0.25 degrees C/decade. The increase in mean nighttime WBGT was 0.24 degrees C/decade, while in mean daytime WBGT was 0.11 degrees C/decade. The increase in WBGT caused a gradual expansion of areas experiencing daily WBGT exceeding a high-risk level for 5 h (11 AM to 3 PM). The information and maps generated in this study can be used for mitigation planning of heat-related stress risk in PM, where temperature extremes have grown rapidly in recent years.
The rising global temperatures have posed challenges to human survival and well-being in various regions worldwide. However, little is known about human thermal stress exposure changes among populations living in extreme poverty and struggling to meet their basic needs. This study aimed to investigate the spatial patterns of changes in human thermal stress levels in South Asia using the Universal Thermal Climate Index (UTCI). ERA5 HEAT data from 1979 to 2021 were analyzed using Sen’s slope method and the Modified Mann-Kendall test to determine the changes in annual and seasonal thermal stress levels. The findings revealed that Bangladesh, located in the eastern part of South Asia, experiences the highest mean UTCI range (26 to 32 degrees C), while Afghanistan has the lowest among the South Asian nations. In contrast, the western part of South Asia, partic-ularly the region bordering India and Pakistan, exhibits the highest daily maximum UTCI range (38 to 46 degrees C). Trend analysis indicated an increase in mean and maximum UTCI levels across the western part of South Asia, including Pakistan, Afghanistan, and northwest India, at 0.25 to 0.75 degrees C/decade. This increase was more widespread during the June-September (JAS) period than in other seasons. In many regions of the study area, moderate and high thermal stress days increased by 4 to 8 days per decade. As a result, 27.6% of the area shifted from an average comfortable temperature to moderate thermal stress and 18.7% from moderate to strong thermal stress during JAS.
The 6th Assessment of the Intergovernmental Panel on Climate Change projects increasing thermal-associated morbidity and mortality under anthropogenically induced warming. Over 100 indices exist to quantify thermal stress, and among these, the Universal Thermal Climate Index (UTCI) was developed for regional investigations of thermal stress influences on human health. Although by definition a universal index, current applications are mainly limited to Europe. For regions such as Africa, use of the UTCI has been hampered by a lack of available requisite input variables from ground-based meteorological stations. To overcome this, a gridded dataset, derived from ERA5 reanalysis, of UTCI equivalent temperatures was developed by the European Centre for Medium-Range Weather Forecasts. Using this dataset for daily average, minimum and maximum UTCI values, we explore spatiotemporal patterns and changes thereof over annual, seasonal, and monthly scales across southern Africa from 1979 to 2021. Across these scales, 9 of 10 UTCI thermal stress categories were observed, ranging from very strong cold stress to extreme heat stress. Spatially, no thermal stress was most widespread for daily mean values, whereas for daily maximum (minimum) values there was a wider heat (cold) stress incidence, with frequent occurrences of moderate and strong heat stress (slight and moderate cold stress). Interannually, a clear El Nino-Southern Oscillation influence on thermal stress was evident during summer, with El Nino (La Nina) phases extending (reducing) heat stress incidences by up to 13.8% (2.9%). Over the study period, heat stress increased at statistically significant rates in many instances, with the strongest, most widespread increases, for the daily average and maximum (minimum), during spring (summer), averaging 0.28 and 0.29?center dot decade(-1) (0.23?center dot decade(-1)); few regions experienced statistically significant decreasing trends. Overall, the trend results highlight regions vulnerable to significant thermal climate changes, and thus should be considered in decision-making regarding outdoor activities.
Heatwaves occur frequently in summer, severely harming the natural environment and human society. While a few long-term spatiotemporal heatwave studies have been conducted in China at the grid scale, their shortcomings involve their discrete distribution and poor spatiotemporal continuity. We used daily data from 691 meteorological stations to obtain torridity index (TI) and heatwave index (HWI) datasets (0.01°) in order to evaluate the spatiotemporal distribution of heatwaves in the Chinese mainland for the period of 1990-2019. The results were as follows: (1) The TI values rose but with fluctuations, with the largest increase occurring in North China in July. The areas with hazard levels of medium and above accounted for 22.16% of the total, mainly in the eastern and southern provinces of China, South Tibet, East and South Xinjiang, and Chongqing. (2) The study areas were divided into four categories according to the spatiotemporal distribution of hazards. The “high hazard and rapidly increasing” and “low hazard and continually increasing” areas accounted for 8.71% and 41.33% of the total, respectively. (3) The “ten furnaces” at the top of the provincial capitals were Zhengzhou, Nanchang, Wuhan, Changsha, Shijiazhuang, Nanjing, Hangzhou, Haikou, Chongqing, and Hefei. While the urbanization level and population aging in the developed areas were further increased, the continuously increasing heatwave hazard should be fully considered.
Numerous studies have suggested that meteorological conditions such as temperature and absolute humidity are highly indicative of influenza outbreaks. However, the explanatory power of meteorological factors on the seasonal influenza peaks varied widely between countries at different latitudes. OBJECTIVES: We aimed to explore the modification effects of meteorological factors on the seasonal influenza peaks in multi-countries. METHODS: Data on influenza positive rate (IPR) were collected across 57 countries and data on meteorological factors were collected from ECMWF Reanalysis v5 (ERA5). We used linear regression and generalized additive models to investigate the spatiotemporal associations between meteorological conditions and influenza peaks in cold and warm seasons. RESULTS: Influenza peaks were significantly correlated with months with both lower and higher temperatures. In temperate countries, the average intensity of cold season peaks was stronger than that of warm season peaks. However, the average intensity of warm season peaks was stronfger than of cold season peaks in tropical countries. Temperature and specific humidity had synergistic effects on influenza peaks at different latitudes, stronger in temperate countries (cold season: R(2)=0.90; warm season: R(2)=0.84) and weaker in tropical countries (cold season: R(2)=0.64; warm season: R(2)=0.03). Furthermore, the effects could be divided into cold-dry and warm-humid modes. The temperature transition threshold between the two modes was 16.5-19.5 °C. During the transition from cold-dry mode to warm-humid mode, the average 2 m specific humidity increased by 2.15 times, illustrating that transporting a large amount of water vapor may compensate for the negative effect of rising temperatures on the spread of the influenza virus. CONCLUSION: Differences in the global influenza peaks were related to the synergistic influence of temperature and specific humidity. The global influenza peaks could be divided into cold-dry and warm-humid modes, and specific thresholds of meteorological conditions were needed for the transition of the two modes.
This study examines future changes in extreme heat stress over East Asia and its sub-regions using wet bulb globe temperature (WBGT) based on the CORDEX East Asia Phase II multiple Regional Climate Model (RCM) simulations performed under Shared Socioeconomic Pathways (SSP) scenarios. Daily maximum WBGTs (WX) are obtained from 3-hourly bias-corrected WBGTs and their future changes in the late 21st century (2081-2100) are analyzed with respect to the current period (1979-2014). Summer mean WX is projected to increase by 3.2 degrees C (SSP1-2.6: low emission) to 7.6 degrees C (SSP5-8.5: high emission) over East Asia, dominated by temperature increases. Relative humidity decreases over many regions, slightly offsetting WX increases (up to-6%), while it increases in northeastern and northern China, intensifying WX increases (up to +14%). This humidity-induced WX increase becomes stronger during hottest WX days (summer top 5%) and also under low emission scenarios (up to +33%). For sub-regional projections, extreme heat stress day (EHD) is defined when WX exceeds its 95th percentile in at least 10% of the area. RCMs project on average a 10 times increase of EHD frequency under the SSP5-8.5 scenario. The EHD magnitude, which combines the intensity and area extent of EHD events, is also expected to increase dramatically throughout East Asia, reaching a range of 3.2-3.5 degrees C center dot fraction compared to the current (0.1-0.2 degrees C center dot fraction). Further, EHDs are projected to start earlier and end later, lasting much longer (85-140 days) than the current condition (5-6 days) in the SSP5-8.5 scenario. RCMs exhibit a good agreement in WX and EHD projections with some noticeable differences in in-land sub-regions. Our results indicate that severe heat stress will affect the whole East Asia throughout and beyond the summer season and, in particular, southern sub-regions will be affected by more-intense and longer-lasting extreme heat stress events.
The severe heatwaves and hot spells in Vietnam were observed more frequently in intensity and duration due to global warming and climate change impacts. The hot days and extreme summer events make the weather harsh and significantly affect human health and the environment. This study presents the spatiotemporal distribution of the number of hot days (NHDs) in Vietnam. The variability of NHD in seven climate subregions is also examined in association with the large-scale drivers. The European Center for Medium-Range Weather Forecasts (ECMWF) reanalysis version 5 (ERA5) data for the period 1981-2020 are used. Principal component analysis is also applied to the observed monthly NHD to obtain spatial patterns and time series. The results show that the NHD in the Highland and South subregions from March to May is linked with the subtropical high associated with decreased 500hPa-level vertical velocity (VV500). From May to June, the North and Central subregions seem related to deepening the Asiatic low and enhancement of southwest flows across the IndoChina Peninsula. Finally, both increased southwest flows and decreased VV500 can partly contribute to the intensification of NHD in the North and Central subregions during July and August. The long trends of NHD are also examined. The results reveal that the increasing trends in NHD occur in most subregions, except for the Central Highland, and changing trends of NHD in June greatly contribute to the annual trend of NHD. Finally, the examinations with the El Nino-Southern Oscillation events show that NHD is significantly higher in El Nino events than in La Nina events in March and April for the Northwest, South Central, Central Highlands, and South, in May and June for all subregions, and in July and August for only the Red River Delta subregion. This suggests that ENSO can provide the potential for improving seasonal climate forecasts and mitigating natural disaster risks for the community.
Mosquitoes, including invasive species like the Asian tiger mosquito Aedes albopictus, alongside native species Culex pipiens s.l., pose a significant nuisance to humans and serve as vectors for mosquito-borne diseases in urban areas. Understanding the impact of water infrastructure characteristics, climatic conditions, and management strategies on mosquito occurrence and effectiveness of control measures to assess their implications on mosquito occurrence is crucial for effective vector control. In this study, we examined data collected during the local vector control program in Barcelona, Spain, focusing on 234,225 visits to 31,334 different sewers, as well as 1817 visits to 152 fountains between 2015 and 2019. We investigated both the colonization and recolonization processes of mosquito larvae within these water infrastructures. Our findings revealed higher larval presence in sandbox-sewers compared to siphonic or direct sewers, and the presence of vegetation and the use of naturalized water positively influenced larval occurrence in fountains. The application of larvicidal treatment significantly reduced larvae presence; however, recolonization rates were negatively affected by the time elapsed since treatment. Climatic conditions played a critical role in the colonization and recolonization of sewers and urban fountains, with mosquito occurrence exhibiting non-linear patterns and, generally, increasing at intermediate temperatures and accumulated rainfall levels. This study emphasizes the importance of considering sewers and fountains characteristics and climatic conditions when implementing vector control programs to optimize resources and effectively reduce mosquito populations.
Landslides are the most frequent type of natural hazard in the Azores archipelago, primarily due to the volcanic nature and geomorphologic features of the islands. The NATHA (Natural Hazards in Azores) database is a repository of documents reporting those natural disaster events that have occurred on the Azores since their settlement in the mid-fifteenth century. This work presents and explores the landslide events that have occurred on Sao Miguel Island in the period 1900-2020. A total of 236 landslide events were catalogued. The temporal distribution of the landslide events reveals a higher concentration of events after 1996, which is related to a change in the rainfall regime but also to the increasing dissemination of information. The influence of climate change on landslide occurrence is demonstrated for the first time in the Azores. The landslide events catalogued in the NATHA database were responsible for 82 fatalities, 41 injuries and 305 people made homeless, while 66 buildings were partially or completely destroyed. The spatial distribution of landslide events shows that Povoacao is the municipality most prone to landslide occurrence as well as to landslide impact. Rainfall was the triggering factor of most landslide events (70%) on Sao Miguel Island, and landslide events have been most frequent during the wettest months of the year from November to March. The obtained results demonstrate the need of landslides prevention and preparedness programs in specific areas of Sao Miguel Island.
Vector-borne diseases, such as malaria, are affected by the rapid urban growth and climate change in sub-Saharan Africa (SSA). In this context, intra-urban malaria risk maps act as a key decision-making tool for targeting malaria control interventions, especially in resource-limited settings. The Demographic and Health Surveys (DHS) provide a consistent malaria data source for mapping malaria risk at the national scale, but their use is limited at the intra-urban scale because survey cluster coordinates are randomly displaced for ethical reasons. In this research, we focus on predicting intra-urban malaria risk in SSA cities-Dakar, Dar es Salaam, Kampala and Ouagadougou-and investigate the use of spatial optimization methods to overcome the effect of DHS spatial displacement. We modeled malaria risk using a random forest regressor and remotely sensed covariates depicting the urban climate, the land cover and the land use, and we tested several spatial optimization approaches. The use of spatial optimization mitigated the effects of DHS spatial displacement on predictive performance. However, this comes at a higher computational cost, and the percentage of variance explained in our models remained low (around 30%-40%), which suggests that these methods cannot entirely overcome the limited quality of epidemiological data. Building on our results, we highlight potential adaptations to the DHS sampling strategy that would make them more reliable for predicting malaria risk at the intra-urban scale.
Dengue fever, a mosquito-borne fatal disease, brings a huge health burden in tropical regions. With global warming, rapid urbanization and the expansion of mosquitoes, dengue fever is expected to spread to many subtropical regions, leading to increased potential health risks on local populations. So far, limited studies assessed the dengue fever risk spatially for subtropical non-endemic regions hindering the development of related public health management. Therefore, we proposed a spatial hazard-exposure-vulnerability assessment framework for mapping the dengue fever risk in Hong Kong. Firstly, the spatial distribution of the habitat suitability for Aedes albopictus, the mosquito proxy for the dengue fever hazard, was predicted using a species distribution model (e.g., MaxEnt) relying on a list of variables related to local climate, urban morphology, and landscape metrics. Secondly, the spatial autocorrelation between high dengue hazard and high human popula-tion exposure in urban areas was measured. Finally, the dengue fever risk was assessed at community scale by integrating the results of vulnerability analysis basing on census data. This approach allowed the identification of 17 high-risk spots within Hong Kong. The landscape metrics about land utilities and vegetations, and urban morphological characteristics are the influential factors on the spatial distribution of dengue vector. In addition, the underlying factors behind each hot spot were investigated, and specific suggestions for dengue prevention were proposed accordingly. The findings provide a useful reference for developing local dengue fever risk pre-vention measures, with the proposed method easily exportable to other high-density cities within subtropical Asia and elsewhere.
Heatwaves, along with their affiliated illnesses and mortalities, are increasing in frequency and severity under climate change. Spatial analyses at the level of census output areas can produce detailed maps of heatwave risk factors and potential correlated damages, thus contributing to practical policies to reduce the risk of heatwave illnesses. This study analyzed the 2018 summer heatwave in Gurye and Sunchang counties in South Korea. To compare damages and analyze the detailed causes of heatwave vulnerability, spatial autocorrelation analyses were conducted, incorporating weather, environmental, personal, and disease factors. Gurye and Sunchang, although similar in demographics and region, exhibited large differences in heatwave damage specifically in the number of heat-related illness cases. In addition, exposure data were constructed at the census output area level by calculating the shadow pattern, sky view factor, and mean radiant temperature, revealing a higher risk in Sunchang. Spatial autocorrelation analyses revealed that the factors most highly correlated with heatwave damage were hazard factors, in the case of Gurye, and vulnerability factors, in the case of Sunchang. Accordingly, it was concluded that regional vulnerability factors were better distinguished at the finer scale of the census output area and when detailed and diversified weather factors were incorporated.
The disastrous impact of climate change is already being felt around the globe. Climate change is affected by increasing discharges of greenhouse gases. Pakistan’s metropolitan air pollution is among the utmost severe in the world and it bases main reparations on economic activities and affects human health. This study has been designed for the analysis of ambient air quality in different Karachi areas. The surveys have been done based on seasonal variation i.e., pre and post-monsoon from four industrial zones viz. S.I.T.E area, North Karachi industrial area, Korangi industrial area, and Landhi industrial area in the year 2019. These zones are com-prised of the industrial, residential, and commercial sectors, so heavy traffic and dense populations affect these zones. In this study, HAZ-SCANNER (HIM-6000) apparatus was used for data collection of Ambient air pollutants like nitrogen oxides (NOx), carbon monoxide (CO), and sulphur dioxide (SO2), particulate matters (TSPM, PM10, and PM2.5). For spatial-temporal analysis of ambient air quality GIS interpolation (IDW) technique has been used. It is observed that in post-monsoon, the intensity of particulate matters (TSPM, PM10 & PM2.5), CO, and NO2 values in sampling sites are less to moderate than the values of pre-monsoon due to the seasonal monsoon effects. While North Karachi is at the least risk because of having a small number of scale industries pre-sent. The PM10 & PM2.5 levels average about 2-3 fold greater than the SEPA standards. High levels of ambient air pollutants cause severe health problems and chronic diseases on human health. Therefore, the implementation of rules and regulations regarding ambient air pollutants should be more active.& COPY;2023 L & H Scientific Publishing, LLC. All rights reserved.
In the humid subtropics, rising temperatures can cause higher humidity via enhanced evaporation which exacerbates heat-related health problems. This study uses multi-station observational data to reveal the spatial-temporal changes of compound temperature-humidity extreme events in Hong Kong during 1961-2020. Based on the 90th and 10th percentiles of temperature and specific humidity, four types of compound events were identified, i.e., Compound Hot and Wet (CHW), Hot and Dry (CHD), Cold and Wet (CCW), and Cold and Dry (CCD) events. Over the past six decades, there has been a significant increase of CHW (+3.45 events/decade) and decrease of CCD (-3.00 events/decade). The greatest increase of CHW was observed during the warm period of the 2010s (+4 events/year/month). Meanwhile, the trends of CHD and CCW were less evident. Spatially, more frequent compound events (especially those with high humidity (CHW and CCW)) were observed in built-up areas compared to rural areas, while the intensity of these events remained similar. The results imply that both regional climate and urban factors contribute to the increase of extreme hot and humid weather. The study generalizes mechanisms for these spatial temporal changes, and discussed implications for compound extremes management in Hong Kong and other similar cities.
Xinjiang is one of the world’s most sensitive and vulnerable regions to climate change. However, little is known about the current status and changes in thermal comfort conditions in this area. Using the Universal Thermal Climate Index (UTCI) derived from the newly available high-resolution dataset HiTiSEA, the spatial-temporal pattern and changes thereof over annual and seasonal scales across Xinjiang from 1981 to 2019 were evaluated. The results reveal that the distribution and change of thermal comfort in Xinjiang have apparent regional heterogeneity and seasonal characteristics. Across all scales, 7 of 10 UTCI thermal stress categories were observed, from slight cold stress to strong heat stress. Annually, the mean UTCI is 3 degrees C and has significantly increased at 0.37 degrees C decade-1. The mean number of comfortable days (CDs) is 114 days, with a range from 0 to 189 days. On the space scale, the Tarim Basin experiences the highest UTCI value, while the Ili River Valley, the north side of the Tianshan Mountains, and the peripheral areas of the Tarim Basin have a higher number of CDs. Seasonally, summer has the highest UTCI value, while winter is the lowest. The trend for all seasons is upward, and spring increases fastest. Results also indicate that air temperature has a positive correlation with climate comfort, and the influence of air temperature on climate comfort is most significant. Further research indicates that the range and intensity of population exposure to uncomfortable climates in Xinjiang have increased. The distribution and expansion of population exposure are similar to the population density. These findings contribute to a systematic understanding of the local climate environment and can be helpful for the assessment of the impact of climate change and optimize tourism development.
The population experiencing high temperatures in cities is rising due to anthropogenic climate change, settlement expansion, and population growth. Yet, efficient tools to evaluate potential intervention strategies to reduce population exposure to Land Surface Temperature (LST) extremes are still lacking. Here, we implement a spatial regression model based on remote sensing data that is able to assess the population exposure to LST extremes in urban environments across 200 cities based on surface properties like vegetation cover and distance to water bodies. We define exposure as the number of days per year where LST exceeds a given threshold multiplied by the total urban population exposed, in person center dot day. Our findings reveal that urban vegetation plays a considerable role in decreasing the exposure of the urban population to LST extremes. We show that targeting high-exposure areas reduces vegetation needed for the same decrease in exposure compared to uniform treatment.
Soil microbiomes continue to evolve and shape the human microbiota according to external anthropogenic and climate change effects. Ancient microbes are being exposed as a result of glacier melting, soil erosion and poor agricultural practices. Soil microbes subtly regulate greenhouse gas emissions and undergo profound alterations due to poor soil maintenance. This review highlights how the soil microbiome influences human digestion processes, mineral and vitamin production, mental health and mood stimulation. Although much about microbial functions remains unknown, increasing evidence suggests that beneficial soil microbes are vital for enhancing human tolerance to diseases and pathogens. Further research is essential to delineate the specific role of the soil microbiome in promoting human health, especially in light of the increasing anthropogenic pressures and changing climatic conditions.
BACKGROUND: Wildfires cause significant physical and mental ill-health. How physical and mental symptoms interact following wildfire smoke exposure is unclear, particularly in the context of repeated exposures. In this cross-sectional study we investigated how posttraumatic stress and general psychological distress associated with somatic symptoms in a community exposed to multiple smoke events. METHODS: A random weighted sample of 709 adults exposed to smoke during the 2014 Hazelwood coal mine fire in south-eastern Australia completed a survey in 2020. The survey coincided with the Black Summer wildfires that caused a similar period of smoke haze in the region. Participants self-reported somatic symptoms (PHQ-15) and mine fire-related posttraumatic stress (IES-R) experienced over the previous week, general psychological distress (K10) experienced over the previous four weeks, lifetime health diagnoses and demographic information. Associations between posttraumatic stress, general psychological distress, and each PHQ-15 somatic symptom were analysed using ordinal logistic regression models. RESULTS: Overall, 36.2% of participants reported moderate- or high-level somatic symptomology. The most frequent somatic symptoms were fatigue, limb pain, trouble sleeping, back pain, headaches, and shortness of breath. After controlling for confounding factors, general psychological distress and posttraumatic stress were independently associated with all somatic symptoms (except menstrual problems in females for posttraumatic stress). CONCLUSIONS: Results highlight the high prevalence of somatic symptoms and their association with general psychological distress and posttraumatic stress within a community in the midst of a second large-scale smoke event. It is essential that healthcare providers and public health authorities consider the interconnections of these conditions when supporting communities affected by climate-related disasters.
Groundwater is essential for man’s well-being and survival and is imperative for promoting public health. A wide range of groundwater quality studies have been conducted globally. However, there is no categorical study that specifically synthesizes the sources and factors that threaten groundwater quality. This study considered 15 countries in this review. The review showed that globally groundwater systems are predominantly contaminated with microorganisms, heavy metals, trace elements, organic com-pounds, and agrochemicals (dichlorodiphenyltrichloroethane/1,1,1-trichloro-2,2-bis(p-chlorophenyl) ethane (DDT) and dichlorodiphenyldichloroethylene (DDE)). Though organic matter levels in ground-water is less studied in groundwater, it also poses debilitating health risks including bladder, rectum, and colon cancers. Geologic processes and lithological and pedological factors, climate change, environmentally-unfriendly agricultural activities, poor sanitation practices and landfill management are the most dominant factors that impact groundwater quality. Based on these, it is required that realistic and implementable policies and regulations related to groundwater protection are formulated and enforced. Also, groundwater systems are sited properly to reduce anthropogenic impacts and the likely occurrence of adverse health effects.(c) 2023 The Authors. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/ 4.0/).
Anti-NMDAR encephalitis has been associated with multiple antigenic triggers (i.e., ovarian teratomas, prodromal viral infections) but whether geographic, climatic, and environmental factors might influence disease risk has not been explored yet. We performed a systematic review and a meta-analysis of all published papers reporting the incidence of anti-NMDAR encephalitis in a definite country or region. We performed several multivariate spatial autocorrelation analyses to analyze the spatial variations in the incidence of anti-NMDA encephalitis depending on its geographical localization and temperature. Finally, we performed seasonal analyses in two original datasets from France and Greece and assessed the impact of temperature using an exposure-lag-response model in the French dataset. The reported incidence of anti-NMDAR encephalitis varied considerably among studies and countries, being higher in Oceania and South America (0.2 and 0.16 per 100,000 persons-year, respectively) compared to Europe and North America (0.06 per 100,000 persons-year) (p < 0.01). Different regression models confirmed a strong negative correlation with latitude (Pearson's R = -0.88, p < 0.00001), with higher incidence in southern hemisphere countries far from the equator. Seasonal analyses showed a peak of cases during warm months. Exposure-lag-response models confirmed a positive correlation between extreme hot temperatures and the incidence of anti-NMDAR encephalitis in France (p = 0.03). Temperature analyses showed a significant association with higher mean temperatures and positive correlation with higher ultraviolet exposure worldwide. This study provides the first evidence that geographic and climatic factors including latitude, mean annual temperature, and ultraviolet exposure, might modify disease risk.
Climate change can increase the spread of infectious diseases and public health concerns. Malaria is one of the endemic infectious diseases of Iran, whose transmission is strongly influenced by climatic conditions. The effect of climate change on malaria in the southeastern Iran from 2021 to 2050 was simulated by using artificial neural networks (ANNs). Gamma test (GT) and general circulation models (GCMs) were used to determine the best delay time and to generate the future climate model under two distinct scenarios (RCP2.6 and RCP8.5). To simulate the various impacts of climate change on malaria infection, ANNs were applied using daily collected data for 12 years (from 2003 to 2014). The future climate of the study area will be hotter by 2050. The simulation of malaria cases elucidated that there is an intense increasing trend in malaria cases under the RCP8.5 scenario until 2050, with the highest number of infections occurring in the warmer months. Rainfall and maximum temperature were identified as the most influential input variables. Optimum temperatures and increased rainfall provide a suitable environment for the transmission of parasites and cause an intense increase in the number of infection cases with a delay of approximately 90 days. ANNs were introduced as a practical tool for simulating the impact of climate change on the prevalence, geographic distribution, and biological activity of malaria and for estimating the future trend of the disease in order to adopt protective measures in endemic areas.
This paper summarises the lessons learnt in dengue epidemiology, risk factors, and prevention in Singapore over the last half a century, during which Singapore evolved from a city of 1.9 million people to a highly urban globalised city-state with a population of 5.6 million. Set in a tropical climate, urbanisation among green foliage has created ideal conditions for the proliferation of Aedes aegypti and Aedes albopictus, the mosquito vectors that transmit dengue. A vector control programme, largely for malaria, was initiated as early as 1921, but it was only in 1966 that the Vector Control Unit (VCU) was established to additionally tackle dengue haemorrhagic fever (DHF) that was first documented in the 1960s. Centred on source reduction and public education, and based on research into the bionomics and ecology of the vectors, the programme successfully reduced the Aedes House Index (HI) from 48% in 1966 to <5% in the 1970s. Further enhancement of the programme, including through legislation, suppressed the Aedes HI to around 1% from the 1990s. The current programme is characterised by 4 key features: (i) proactive inter-epidemic surveillance and control that is stepped up during outbreaks; (ii) risk-based prevention and intervention strategies based on advanced data analytics; (iii) coordinated inter-sectoral cooperation between the public, private, and people sectors; and (iv) evidence-based adoption of new tools and strategies. Dengue seroprevalence and force of infection (FOI) among residents have substantially and continuously declined over the 5 decades. This is consistent with the observation that dengue incidence has been delayed to adulthood, with severity highest among the elderly. Paradoxically, the number of reported dengue cases and outbreaks has increased since the 1990s with record-breaking epidemics. We propose that Singapore's increased vulnerability to outbreaks is due to low levels of immunity in the population, constant introduction of new viral variants, expanding urban centres, and increasing human density. The growing magnitude of reported outbreaks could also be attributed to improved diagnostics and surveillance, which at least partially explains the discord between rising trend in cases and the continuous reduction in dengue seroprevalence. Changing global and local landscapes, including climate change, increasing urbanisation and global physical connectivity are expected to make dengue control even more challenging. The adoption of new vector surveillance and control tools, such as the Gravitrap and Wolbachia technology, is important to impede the growing threat of dengue and other Aedes-borne diseases.
Introduction: Along with climate changes, we see an increase in allergic symptoms and the number of pollen-allergic patients in many countries. Increased allergic symptoms are associated with an elevated ozone exposure which may be linked by impaired epithelial barrier function. This study aimed to quantify the clinical effect of ozone and pollen double exposure (DE). We tested whether ozone impairs barrier-related skin physiology and mucosal functions under double exposure with pollen ozone in grass pollen-allergic patients versus healthy controls. Methods: This case-control study included 8 grass pollen-allergic patients and 8 non-allergic healthy subjects exposed to grass pollen and ozone in the GA(2)LEN pollen chamber, comparing shorter and longer DE duration. Non-invasive skin physiological parameters were assessed, including stratum corneum hydration, skin redness, surface pH, and basal transepidermal water loss (TEWL) as a parameter for epidermal barrier function. The subjects’ general well-being, bronchial, nasal, and ocular symptoms were documented. Results: Skin physiology tests revealed that DE in allergic patients deteriorates the epidermal barrier function, increases the surface pH and skin redness. DE significantly induced nasal secretion in pollen-allergic versus healthy subjects, which was more pronounced with longer DE. The general well-being was significantly impaired under DE versus pollen or ozone alone, with a negative influence of DE-duration. No relevant bronchial symptoms were recorded. Conclusion: Skin physiology and nasal mucosal symptoms and are negatively affected by ozone and grass pollen DE in allergic patients. The negative effects showed, in some parameters, a dose(time)-response relationship. The surface pH can be regarded as a possible modulatory mechanism.
Societal concern about climate change and global warming has grown worldwide along with the concomitant awareness that health will be impacted deeply. Among living beings, humans have quite large capacities for adaptation to varied temperature conditions. Despite their tropical origin, they live under all Earth climates, such as polar, temperate, altitude, arid, and tropical climates, using a wide range of behavioral and physiological adaptive responses. We address the adaptive abilities of human sleep-wake regulation and its interplay with thermoregulation under different natural climates. Sleep represents one-third of our living time and is also a major determinant of morbidity and mortality; shortening sleep duration increases mortality and multimorbidity. In addition, major advances in sleep neurology have occurred in the last decades. Some have been extensively reviewed, notably comparative sleep physiology among animals, allowing one to hypothesize about the functions of the different sleep states, as well as their relation to cognitive neuroscience or body biorhythms. However, the question of the sleep adaptive capacity of humans to global warming has barely been addressed. We examine “normal” sleep and thermoregulation in young adults residing in temperate conditions. We then review the sleep and thermoregulatory reactions under various climatic conditions, demonstrating the role of sleep changes as potent adaptive responses to living under natural hot climatic conditions. As a result, we show that humans are well-equipped to adapt to severe climates.
In research literature, the terms “small-scale-agriculture” and “smallholder-agriculture” (farming) cannot be clearly distinguished and are frequently used synonymously. Taking terminology of both versions, we examine relationships between textual and bibliographic elements, identify clusters of studies and research accents, as well as developments in time. Using information science methods (big data, bibliometrics/scientometrics, visualization program Vosviewer) in the citation database Scopus, we design Boolean search statement/query (emphasis on proximity operators), analyse terms in titles and abstracts of articles, evaluate author networks (countries, co-authorship), keywords, and links between journals. Authors from developed and developing countries collaborate widely, with the US having the most co-authored articles, Germany having the most diverse current network, and Kenya being the strongest contributor among developing countries. Most articles are published by authors from Africa. There are also two smaller clusters representing Asia and the Americas. Three clusters of research priorities are evident: 1) crop production (current focus: crop yield), 2) livestock production (current focus: diseases), and 3) environmental issues, vulnerability to climate change, sustainability, and socio-economic themes. Future trends (hot topics and research fronts) will increasingly focus on adaptation strategies, food security, gender (women), or human health (at the time of submission, there were already dozens of papers on Covid 19 and smallholder farmers). Many topics that used to be most covered by Agricultural and Biological Sciences (Scopus Subject Area) are now increasingly covered in Social Sciences journals, becoming a complex research field on its own, which should translate into support and funding for such studies.
Sewer systems are an essential part of sanitation infrastructure for protecting human and ecosystem health. Initially, they were used to solely convey stormwater, but over time municipal sewage was discharged to these conduits and transformed them into combined sewer systems (CSS). Due to climate change and rapid urbanization, these systems are no longer sufficient and overflow in wet weather conditions. Mechanistic and data-driven models have been frequently used in research on combined sewer overflow (CSO) management integrating low-impact development and gray-green infrastructures. Recent advances in measurement, communication, and computation technologies have simplified data collection methods. As a result, technologies such as artificial intelligence (AI), geographic information system, and remote sensing can be integrated into CSO and stormwater management as a part of the smart city and digital twin concepts to build climate-resilient infrastructures and services. Therefore, smart management of CSS is now both technically and economically feasible to tackle the challenges ahead. This review article explores CSO characteristics and associated impact on receiving waterbodies, evaluates suitable models for CSO management, and presents studies including above-mentioned technologies in the context of smart CSO and stormwater management. Although integration of all these technologies has a big potential, further research is required to achieve AI-controlled CSS for robust and agile CSO mitigation.This article is categorized under:Engineering Water > Sustainable Engineering of WaterScience of Water > Water and Environmental Change
PURPOSE: As environmental disasters become more common and severe due to climate change, there is a growing need for strategies to bolster recovery that are proactive, cost-effective, and which mobilise community resources. AIMS: We propose that building social group connections is a particularly promising strategy for supporting mental health in communities affected by environmental disasters. METHODS: We tested the social identity model of identity change in a disaster context among 627 people substantially affected by the 2019-2020 Australian fires. RESULTS: We found high levels of post-traumatic stress, strongly related to severity of disaster exposure, but also evidence of psychological resilience. Distress and resilience were weakly positively correlated. Having stronger social group connections pre-disaster was associated with less distress and more resilience 12-18 months after the disaster, via three pathways: greater social identification with the disaster-affected community, greater continuity of social group ties, and greater formation of new social group ties. New group ties were a mixed blessing, positively predicting both resilience and distress. CONCLUSIONS: We conclude that investment in social resources is key to supporting mental health outcomes, not just reactively in the aftermath of disasters, but also proactively in communities most at risk.
INTRODUCTION: Natural and human-made disasters, including climate change, pandemics, and other hazards such as earthquake and flooding can have considerable negative impact on all communities in Aotearoa New Zealand. This article uses a case study approach to describe the experiences and reflections of social workers in relation to disaster practice. METHODS: This phase of the research project included semi-structured interviews with 11 registered social workers who had been involved in disaster management in Aotearoa New Zealand. The case studies were examined using thematic analysis to identify key themes. This article draws on four of the 11 interviews grouped together after thematic analysis, enabling detailed exploration of experiences. FINDINGS: Analysis of the interviews identified that the transferable skills and knowledge of social workers are important for disaster practice; social workers are effective in connecting with individuals and communities; and improved professional relationships, systems, and processes are required so that the community is better supported following future disaster events. IMPLICATIONS: Social workers practise locally but are situated within an international context that is underpinned by global definitions, agendas, and goals. These, and local codes and standards, offer a rationale and framework for effective social work disaster practice. Stronger connection between the social work profession and the national emergency management organisation in Aotearoa New Zealand will build social capital and signal the profession’s commitment to community resilience in the context of disaster practice.
Both the frequency and intensity of hot temperature extremes are expected to increase in the coming deca-des, challenging various socioeconomic sectors including public health. Therefore, societal attention data available in real time, such as Google search attention, could help monitor heat-wave impacts in domains with lagged data availability. Here, we jointly analyze societal attention and health impacts of heat waves in Germany at weekly time scales. We find that Google search attention responds similarly to hot temperatures as indicators of public health impacts, represented by excess mortality and hospitalizations. This emerges from piecewise linear relationships of Google search attention to and health impacts of temperature. We can then determine temperature thresholds above which both attention and public health are affected by heat. More generally, given the clear and similar response of societal indicators to heat, we conclude that heat waves can and should be defined from a joint societal and meteorological perspective, whereby temperatures are compared with thresholds established using societal data. A better joint understanding of societal attention and health im-pacts offers the potential to better manage future heat waves.
Current rising temperatures are threatening biodiversity. It is therefore crucial to understand how climate change impacts male and female fertility and whether evolutionary responses can help in coping with heat stress. We use experimental evolution to study male and female fertility during the real-time evolution of two historically differentiated populations of Drosophila subobscura under different thermal selection regimes for 23 generations. We aim to (a) tease apart sex-specific differences in fertility after exposure to warming conditions during development, (b) test whether thermal selection can enhance fertility under thermal stress, and (c) address the role of historically distinct genetic backgrounds. Contrary to expectations, heat stress during development had a higher negative impact on female fertility than on male fertility. We did not find clear evidence for enhanced fertility in males or females evolving under warming conditions. Population history had a clear impact on fertility response under thermal stress, particularly in males with those from lower latitude presenting better performance than their higher latitude counterparts. We show that the impact of thermal stress on fertility varies between traits, sexes, and genetic backgrounds. Incorporating these several levels of variation is crucial for a deeper understanding of how fertility evolves under climate change.
Planetary health equity – the equitable enjoyment of good health and wellbeing in a sustainable ecosystem – is under threat from anthropogenic climate change and economic and social inequities. Driving these major challenges is the global consumptogenic system that encourages excessive production and consumption goods and services that are harming human and planetary health. Growth models lie at the core of the consumptogenic system. This paper examines the sources of economic growth in Australia, the coalitions that sustain this approach politically, and the implications of these dynamics for planetary health equity. Australia’s consumption-led growth model is underpinned by a combination of rising house prices and a permissive credit regime. This growth model is supported by a dominant growth coalition of producer interests, elements of organised labour, and property owners. The growth coalition has been able to successfully generate growth model policy convergence between the mainstream political parties. In turn this growth model, and associated growth coalition, has undermined the pursuit of planetary health equity in Australia by incentivising and driving excessive consumption, greenhouse gas emissions, and economic inequality.
Lung cancer risk from exposure to ambient polycyclic aromatic hydrocarbons (PAHs) is expected to change significantly by 2050 compared to 2008 due to changes in climate and emissions. Integrating a global atmospheric chemistry model, a lung cancer risk model, and plausible future emissions trajectories of PAHs, we assess how global PAHs and their associated lung cancer risk will likely change in the future. Benzo(a)pyrene (BaP) is used as an indicator of cancer risk from PAH mixtures. From 2008 to 2050, the population-weighted global average BaP concentrations under all RCPs consistently exceeded the WHO-recommended limits, primarily attributed to residential biofuel use. Peaks in PAH-associated incremental lifetime cancer risk shift from East Asia (4 x 10(-5)) in 2008 to South Asia (mostly India, 2-4 x 10(-5)) and Africa (1-2 x 10(-5)) by 2050. In the developing regions of Africa and South Asia, PAH-associated lung cancer risk increased by 30-64% from 2008 to 2050, due to increasing residential energy demand in households for cooking, heating, and lighting, the continued use of traditional biomass use, increases in agricultural waste burning, and forest fires, accompanied by rapid population growth in these regions. Due to more stringent air quality policies in developed countries, their PAH lung cancer risk substantially decreased by similar to 80% from 2008 to 2050. Climate change is likely to have minor effects on PAH lung cancer risk compared to the impact of emissions. Future policies, therefore, need to consider efficient combustion technologies that reduce air pollutant emissions, including incomplete combustion products such as PAH.
Humid-heat extremes threaten human health and are increasing in frequency with global warming, so elucidating factors affecting their rate of change is critical. We investigate the role of wet-bulb temperature (T-W) frequency distribution tail shape on the rate of increase in extreme T-W threshold exceedances under 2 degrees C global warming. Results indicate that non-Gaussian T-W distribution tails are common worldwide across extensive, spatially coherent regions. More rapid increases in the number of days exceeding the historical 95th percentile are projected in locations with shorter-than-Gaussian warm side tails. Asymmetry in the specific humidity distribution, one component of T-W, is more closely correlated with T-W tail shape than temperature, suggesting that humidity climatology strongly influences the rate of future changes in T-W extremes. Short non-Gaussian T-W warm tails have notable implications for dangerous humid-heat in regions where current-climate T-W extremes approach human safety limits. Plain Language Summary Extreme heat is more dangerous to humans when it is combined with high humidity, so it is important to understand how the combination of heat and humidity will change under continued global warming. We investigate how the current distribution of wet-bulb temperatures, a heat-humidity measure, influences how future wet-bulb temperature extremes will increase. Results show that locations with an asymmetrical wet-bulb temperature probability distribution, such that the warm side of the distribution is shorter than if the distribution were normally shaped, are likely to see a faster increase in extreme wet-bulb temperature days under the same warming compared with other locations. Results suggest that the underlying humidity climatology is a more important driver of this distribution asymmetry compared to the underlying temperature climatology.
BACKGROUND: Whereas outdoor temperature is linked to both mortality and hydration status, the hormone vasopressin, measured through the surrogate copeptin, is a marker of cardiometabolic risk and hydration. We recently showed that copeptin has a seasonal pattern with higher plasma concentration in winter. Here, we aimed to investigate the association between outdoor temperature and copeptin. METHODS: Copeptin was analysed in fasting plasma from five cohorts in Malmö, Sweden (n = 26,753, 49.7% men, age 18-86 years). We utilized a multivariable adjusted non-linear spline model with four knots to investigate the association between short-term temperature (24 h mean apparent) and log copeptin z-score. FINDINGS: We found a distinct non-linear association between temperature and log copeptin z-score, with both moderately low and high temperatures linked to higher copeptin concentration (p < 0.0001). Between 0 °C and nadir at the 75th temperature percentile (corresponding to 14.3 °C), log copeptin decreased 0.13 z-scores (95% CI 0.096; 0.16), which also inversely corresponded to the increase in z-score log copeptin between the nadir and 21.3 °C. INTERPRETATION: The J-shaped association between short-term temperature and copeptin resembles the J-shaped association between temperature and mortality. Whereas the untangling of temperature from other seasonal effects on hydration warrants further study, moderately increased water intake constitutes a feasible intervention to lower vasopressin and might mitigate adverse health effects of both moderately cold and hot outdoor temperatures. FUNDING: Swedish Research Council, Å Wiberg, M Stephen, A Påhlsson, Crafoord and Swedish Heart-Lung Foundations, Swedish Society for Medical Research and Swedish Society of Medicine.
Hemorrhagic stroke (HS) is associated with severe morbidity and high mortality. Identifying the trigger factors for HS is critical for disease prevention. This study aimed to assess the associations between short-term environmental triggers (STETs) and HS risk. We systematically searched six databases for articles published up to September 9, 2022. Pooled odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated using random-effect models to evaluate the associations between STETs and the risk of HS. Heterogeneity was assessed using Cochran Q and I(2) tests. A total of 63 studies were included for analysis. Of these, 40 focused on air pollutants and 23 on meteorological factors. Pooling results showed that exposure to particulate matter 2.5 (PM(2.5;) OR, 1.003 per 10 μg/m(3); 95% CI, 1.001-1.007), sulfur dioxide (SO(2;) OR, 1.022 per 10 ppb; 95% CI, 1.005-1.040), and nitrogen dioxide (NO(2;) OR, 1.026 per 10 ppb; 95% CI, 1.004-1.047) was associated with an increase in HS risk. Moreover, exposure to PM(2.5) (OR, 1.018 per 10 μg/m(3); 95% CI, 1.009-1.027) and SO(2) (OR, 1.102 per 10 ppb; 95% CI, 1.010-1.204) was positively associated with the risk of intracerebral hemorrhage. In addition, extreme temperature, high pressures, high and low relative humidity were potentially associated with HS risk. Targeted preventive measures to limit the effect of these air pollutants and extreme meteorological factors should be taken to reduce the HS disease burden. Further studies are warranted to verify these findings.
Several European countries were affected by severe floods in 2021. At the same time, despite the deployment of vaccines, Europe was the COVID-19 pandemic’s epicenter several times during 2021. One research aim of this study is to identify socio-demographic groups vulnerable to floods and whether the groups vulnerable to floods and pandemics overlap or are disjoint. We ran a survey in four languages (English, French, German, and Spanish) and collected the judgment of 366 experts in disaster risk management and first-responders to find out how those people caring for “people in need” (be it operational or administratively) think about which persons are more at risk than others. Another research aim is to validate multi-hazard vulnerability factors by comparing judgment on groups vulnerable to the COVID-19 pandemic and to floods. The main findings are that experts think that socially vulnerable groups should be rescued or treated first. Treating everyone equally is less favored by comparison. Infrastructure losses, followed by economic losses, reveal better than deaths or psychological issues whether vulnerability played a role in a disaster. Regarding vulnerability characteristics, older, homeless people, and immigrants rank highest, and most factors can be used to explain both flood and COVID-19 vulnerability, while some differ; for example, mobility impairment is less important for COVID-19. There are major discrepancies between what respondents think should be done to prioritize help to certain groups and what they have experienced is being done on the field.
Surface water bodies are vulnerable to cyanobacteria overgrowth, primarily owing to nutrient enrichment, rising temperatures, and recurrent droughts. Regular cyanobacteria monitoring in water systems is crucial to prevent and manage health risks associated with toxin exposure. Surface water samples were collected from the Jundiai River in Sao Paulo State, Brazil for 3 years (2018-2022) to study the seasonal changes and species diversity of cyanobacteria. The study also aimed to understand the relationship between cyanobacteria abundance, climate, water quality, and hydrological parameters. Data analyses revealed a pattern of significantly elevated cyanobacterial cell counts during the dry season (DS), accompanied by an increase in the cyanobacterial species. The identified species poses a threat to water safety owing to the potential production of toxins, as well as causing unpleasant taste and odor. The DS is marked by higher nutrient concentrations and lower water flow. Phosphorus levels remain high, allowing cyanobacteria to grow without being limited by nutrients. In future scenarios, the primary concern for the Jundiai River is not temperature rise but droughts that create a stable environment for cyanobacteria proliferation. This research provides valuable data for river water users and contributes to a broader understanding of the global cyanobacterial dispersion.
Groundwater is an important human resource. Daejeon in South Korea faces severe water quality issues, including radon, uranium, and fluoride pollution, all of which pose health risks to humans. With climate change, threats to potable water, such as heavy rain and typhoons, have become common. Therefore, examining the seasonal effects on groundwater quality and resultant health risks is important for understanding the mechanisms of different hydroclimatological conditions to enable the implementation of sustainable management plans in radon-contaminated groundwater areas. However, this issue has not yet been studied. To bridge this gap, in this study, major ions and microbial community structures were employed and groundwater quality index (GWQI) were calculated with hazard index based on limits set by the World Health Organization (WHO) to investigate the hydrochemical characterization and to assess pollution levels. The results showed that the rainy season had distinct hydrochemical characteristics with high correlations between radon and fluoride, and most groundwater samples collected after the typhoon had characteristics similar to those collected during the dry season, owing to the flow path. Furthermore, the microbial diversity and hazard quotient (HQ) values of fluoride revealed that pollution worsened during the dry season. All of the calculated effective dose values of radon exceeded the threshold limit set by the WHO, despite the low GWQI. Infants and children were particularly susceptible to radon-contaminated groundwater. The statistical results of self-organizing map (SOM) suggested that radon analysis was sufficient for public health intervention in the rainy season; however, in the dry season, combined analyses of radon, fluoride, and microbial diversity played important roles in health risk assessment. Our study presents a comprehensive understanding of radon-contaminated groundwater characteristics under seasonal effects and can serve as a reference for other similar zones to provide significant insights into the effective management of radon contamination.
Poor health at birth can have long-term consequences for children’s development. This paper analyses an important factor associated with health at birth: the time of year that the baby is born, and hence seasonal risks they were exposed to in utero. There are multiple potential explanations for seasonality in newborns’ health. Most previous research has examined these in isolation. We therefore do not know which explanations are most important – and hence which policy interventions would most effectively reduce the resulting early-life inequalities. In this paper, I use administrative data to estimate and compare the magnitudes of several seasonal risks, seeking to identify the most important drivers of seasonality in the Northern Territory of Australia, a large territory spanning tropical and arid climates and where newborn health varies dramatically with the seasons. I find that the most important explanations are heat exposure and disease prevalence. Seasonality in food prices and road accessibility have smaller effects on some outcomes. Seasonal fertility patterns, rainfall and humidity do not have statistically significant effects. I conclude that interventions that protect pregnant women from seasonal disease and heat exposure would likely improve newborn health in the Northern Territory, with potential long-term benefits for child development. It is likely that similar impacts would apply in other locations with tropical and arid climates, and that, without action, climate change will accentuate these risks.
Many studies have shown that the onset of schizophrenia peaked in certain months within a year and the local weather conditions could affect the morbidity risk of schizophrenia. This study aimed to conduct a systematic analysis of schizophrenia seasonality in different countries of the world and to explore the effects of weather factors globally. METHODS: We searched three databases (PubMed, Web of Science, and China National Knowledge Infrastructure) for eligible studies published up to September 2022. Schizophrenia seasonality was compared between hemispheres and within China. A meta-analysis was conducted to pool excess risk (ER, absolute percentage increase in risk) of the onset of schizophrenia associated with various weather factors including temperature (an increase or decrease of temperature as a reflection of high or low temperature; heatwave; temperature variation), precipitation, etc. RESULTS: We identified 84 relevant articles from 22 countries, mainly in China. The seasonality analysis found that the onset of schizophrenia mostly peaked in the cold season in the southern hemisphere but in the warm season in the northern hemisphere. Interestingly in China, schizophrenia seasonality presented two peaks, respectively in the late cold and warm seasons. The meta-analysis further revealed an increased risk of schizophrenia after short-term exposure to high temperature [ER%: 0.45 % (95 % confidence interval (CI): 0.14 % to 0.76 %)], low temperature [ER%: 0.52 % (95%CI: 0.29 % to 0.75 %)], heatwave [ER%: 7.26 % (95%CI: 4.45 % to 10.14 %)], temperature variation [ER%: 1.02 % (95%CI: 0.55 % to 1.50 %)], extreme precipitation [ER%: 3.96 % (95%CI: 2.29 % to 5.67 %)]. The effect of other weather factors such as sunlight on schizophrenia was scarcely investigated with inconsistent findings. CONCLUSION: This study provided evidence of intra- and inter-country variations in schizophrenia seasonality, especially the double-peak seasons in China. Exposure to local weather conditions mainly temperature changes and precipitation could affect the onset risk of schizophrenia.
This study aimed to investigate the thermal comfort requirements in residential buildings and establish an adaptive thermal comfort model. A two-year field study was conducted on residential buildings in Shaoxing, Zhejiang Province, China. A total of 172 apartments (187 people) were surveyed, and 2400 valid questionnaires on thermal sensation from residents were obtained in two years. The results showed that the thermal comfort requirements of residents change with the seasons: Different seasons lead to changes in the range of thermal comfort zones and the residents’ thermal adaptation models, which are related to the climatic characteristics of each season. Compared with the traditional year-round adaptive thermal comfort model, seasonal models could reflect the status of the residents’ thermal adaptation caused by the characteristics of dynamic climate change more comprehensively and accurately. In addition, this study determined the residents’ psychological and behavioural adaptability to the seasons and found the characteristics of thermal sensation and requirements for thermal comfort in different seasons. In conclusion, this study provides people in the study area with basic knowledge of their thermal comfort requirements. The results could be used as a basis to improve energy effi-ciency and meet comfort needs in the future.
BACKGROUND: Acute Kidney Injury (AKI) is a multifactorial condition which presents a substantial burden to healthcare systems. There is limited evidence on whether it is seasonal. We sought to investigate the seasonality of AKI hospitalisations in England and use unsupervised machine learning to explore clustering of underlying comorbidities, to gain insights for future intervention. METHODS: We used Hospital Episodes Statistics linked to the Clinical Practice Research Datalink to describe the overall incidence of AKI admissions between 2015 and 2019 weekly by demographic and admission characteristics. We carried out dimension reduction on 850 diagnosis codes using multiple correspondence analysis and applied k-means clustering to classify patients. We phenotype each group based on the dominant characteristics and describe the seasonality of AKI admissions by these different phenotypes. RESULTS: Between 2015 and 2019, weekly AKI admissions peaked in winter, with additional summer peaks related to periods of extreme heat. Winter seasonality was more evident in those diagnosed with AKI on admission. From the cluster classification we describe six phenotypes of people admitted to hospital with AKI. Among these, seasonality of AKI admissions was observed among people who we described as having a multimorbid phenotype, established risk factor phenotype, and general AKI phenotype. CONCLUSION: We demonstrate winter seasonality of AKI admissions in England, particularly among those with AKI diagnosed on admission, suggestive of community triggers. Differences in seasonality between phenotypes suggests some groups may be more likely to develop AKI as a result of these factors. This may be driven by underlying comorbidity profiles or reflect differences in uptake of seasonal interventions such as vaccines.
Cholera in Kolkata remains endemic and the Indian city is burdened with a high number of annual cases. Climate change is widely considered to exacerbate cholera, however the precise relationship between climate and cholera is highly heterogeneous in space and considerable variation can be observed even within the Indian subcontinent. To date, relatively few studies have been conducted regarding the influence of climate on cholera in Kolkata. METHODS: We considered 21 years of confirmed cholera cases from the Infectious Disease Hospital in Kolkata during the period of 1999-2019. We used Generalised Additive Modelling (GAM) to extract the non-linear relationship between cholera and different climatic factors; temperature, rainfall and sea surface temperature (SST). Peak associated lag times were identified using cross-correlation lag analysis. RESULTS: Our findings revealed a bi-annual pattern of cholera cases with two peaks coinciding with the increase in temperature in summer and the onset of monsoon rains. Variables selected as explanatory variables in the GAM model were temperature and rainfall. Temperature was the only significant factor associated with summer cholera (mean temperature of 30.3 °C associated with RR of 3.8) while rainfall was found to be the main driver of monsoon cholera (550 mm total monthly rainfall associated with RR of 3.38). Lag time analysis revealed that the association between temperature and cholera cases in the summer had a longer peak lag time compared to that between rainfall and cholera during the monsoon. We propose several mechanisms by which these relationships are mediated. CONCLUSIONS: Kolkata exhibits a dual-peak phenomenon with independent mediating factors. We suggest that the summer peak is due to increased bacterial concentration in urban water bodies, while the monsoon peak is driven by contaminated flood waters. Our results underscore the potential utility of preventative strategies tailored to these seasonal and climatic patterns, including efforts to reduce direct contact with urban water bodies in summer and to protect residents from flood waters during monsoon.
The combined effects of urbanization and climate change put a large portion of the population at risk from pluvial, fluvial, and coastal flooding. To continue to strive for sustainable development, cities will need to protect flood-prone areas, but this will require significant investments in both green and grey infrastructure solutions. Yet, a significant financing gap will need to be bridged to increase cities’ resilience. The decision as to which flood protection intervention to finance typically includes an analysis of primary costs (construction) and benefits (averted damages). However, an array of potential secondary benefits occur with increased flood protection that are often not assessed, such as increased well-being and ecosystem health. This review provides a timely overview of the secondary benefits of urban flood protection, a brief analysis of whether they have been included in cost-benefit analyses for investments in urban flood protection projects, and a discussion of methodological concerns. Of the twenty projects reviewed, fourteen make mention of secondary benefits, yet only four quantify them in their analysis. Advances in evaluation methodologies may reduce quantification challenges, but a move away from traditional cost-benefit analysis may be necessary to incorporate a full range of secondary benefits. Ultimately, we argue that a more thorough understanding of the secondary benefits of urban flood protection and their quantification methods could unlock additional financing for flood protection infrastructure, especially in urban centers of developing countries.
Urban populations are rising globally, and more extreme climate events are occurring, which means more people are exposed to flood hazards such as pluvial, fluvial, coastal and compound floods. Cities located in flood-prone areas beside coasts, rivers, or both are at risk because such extreme events are often coupled with insufficient drainage capacity to offload peak discharge and withstand the surge levels. Further, the combined drivers of non-climatic factors, such as increasing urbanisation and social-economic development, and climatic drivers such as increasing extreme rainfall patterns, storms, surges, and global mean sea-level rise are unstoppable. This makes it problematic to continue to rely on improving flood protection to secure resilience. This review focuses on the lessons from recent major flood events in Europe, S Asia, E Asia, Australia, America and Africa, including the causes of the events and the post-flood responses. These responses and options are core values to understand both the importance of addressing flood resilience, by responding to floods and the explicit ways to improve risk communication among stakeholders, administration and the public which seem to be the keys to minimising flood impacts on communities. Given the continuous growth of human exposure, we suggest an urgent call for authorities to enact better flood preparation and response strategies in their flood disaster risk reduction plans and policies. This review provides implications for improving the resilience of Chinese cities and elsewhere.
OBJECTIVE: Spinal cord injury (SCI) interrupts motor, sensory, and autonomic pathways, impairing mobility and increasing heat storage during warm seasonal temperatures due to compromised autonomic control of vasodilation and sweating and recognition of body temperature. Thus, persons with SCI are more vulnerable to hyperthermia and its adverse effects. However, information regarding how persons with SCI perceive warmer seasons and whether thermal discomfort during warmer seasons restricts routine activities remains anecdotal. DESIGN: Cross-sectional, self-report surveys. SETTING: VA Medical Center and Kessler Institute for Rehabilitation. PARTICIPANTS: Three groups of 50 participants each: tetraplegia, paraplegia, and matched non-SCI controls. OUTCOME MEASURES: Tetraplegia, paraplegia, and control groups responded “yes” or “no” when asked whether warm seasonal temperatures adversely affected comfort or participation in routine activities. RESULTS: The percentage of responses differed among tetraplegia, paraplegia, and control groups when asked if they required ≥20 min to cool down once overheated (44 vs. 20 vs. 12%; X(2 )= 14.7, P < 0.001), whether heat-related discomfort limited their ability to go outside (62 vs. 34 vs. 32%; X(2 )= 11.5, P = 0.003), if they needed to use a water-mister because of the heat (70 vs. 44 vs. 42%; X(2 )= 9.8, P = 0.008), and if heat-related discomfort limited participation in social activities (40 vs. 20 vs. 16%; X(2 )= 8.7, P = 0.01). CONCLUSION: Warmer seasonal temperatures had a greater negative impact on reported comfort and daily activities of persons with SCI than non-SCI controls. Those with tetraplegia were most adversely affected. Our findings warrant increasing awareness and identifying interventions to address the vulnerability of persons with SCI to hyperthermia.
Accurate prediction of indoor temperature is critical for climate change adaptation and occupant health. The aim of this study is to investigate an improved deep ensemble machine learning framework (DEML), by adjusting the model architecture with several machine learning (ML) and deep learning (DL) approaches to forecast the sensor-based indoor temperature in the Australian urban environment. We collected ambient station-based temperatures, satellite-based outdoor climate characteristics, and low-cost sensor-based indoor environmental metrics from 96 devices from August 2019 to November 2022, and established DEML with a rolling windows approach to assess the prediction stability over time. The DEML model was compared with several benchmark models, including Random Forest (RF), Support Vector Machine (SVM), eXtreme Gradient Boosting (XGboost), Long-short term memory (LSTM), and Super Learner model (SL). A total of 13,715 days [median: 341 days; IQR (the interquartile range): 221-977 days] of low-cost sensorbased indoor temperature were included in 25 commercial and residential buildings across eight cities. The prediction performance of DEML was superior to the other five benchmark models in most of the sensors [coefficients of determination (R2) of 0.861-0.990 and root mean square error (RMSE) of 0.125-0.886 degrees C], followed by RF and SL algorithms. DEML consistently achieved high accuracy across different climate zones, seasons, and building types, which could be used as a crucial tool for optimizing energy use, maintaining occupant comfort and health, and adapting to the impacts of climate change.
OBJECTIVES: A male is less adaptable to biological stressors than a female fetus with consequent higher morbidity and mortality. Adverse birth outcomes increase and male livebirths decrease after environmental disasters, economic crises, and terrorist events. We hypothesized the ratio of male to female livebirths would decrease in areas affected by severe tropical cyclones (TCs) in Queensland, Australia. Additionally, in male livebirths, there would be an increase in preterm and low birthweight births. Lastly, we hypothesized that the pregnancy stage at which exposure occurred would modify the association between TC exposure and observed outcomes. METHODS: Interrupted time series analysis was used to analyze Queensland administrative birth records from July 2007 to June 2018 for significant changes in the sex ratio at birth, measured as the proportion of male livebirths. Adjusted generalized linear models were fitted to births in areas affected by two category five TCs: cyclones Yasi (February 2011) and Marcia (February 2015). To explore male mortality and morbidity risk, additional analysis was conducted on the proportion of male stillborn, low birthweight, and preterm births. The association between estimated pregnancy stage during the TC and the proportion of male births was also analyzed. RESULTS: Contrary to our hypothesis, increases in the proportion of male livebirths were observed following early-pregnancy exposure to cyclone Yasi and mid-pregnancy exposure to Marcia, although the latter was not statistically significant. No significant changes were observed in proportions of male stillborn, low birthweight, and preterm births. CONCLUSIONS: This study found a significant association between severe TCs and sex ratio at birth. The stage of pregnancy at which maternal stressors were experienced modified this association. Among people exposed in early to mid-pregnancy, the proportion of male births was higher. This may be because of differential loss of females in utero. Studying sex differences in birth outcomes provides insight into in utero vulnerabilities associated with environmental stressors. Climate change is increasing the intensity and frequency of natural disasters. Understanding fetal vulnerability to environmental stressors will provide crucial information supporting early life health interventions that mitigate the immediate and long-term effects.
Malnutrition is increasing across the globe owing to urbanization, poverty, and climatic changes. In the current circumstances, alternative and unexplored sources of food and nutrients are getting attention. The current sources of food cannot meet the ever-increasing population demand. The demand for animal-source protein is estimated be double due to a projected 50% rise in the world population by the year 2050. Moreover, global animal protein supply chains are not only vulnerable to natural disasters but also a significant source of greenhouse gas emissions. Mycoprotein is considered an excellent alternative to animal protein due to its amino acid profile and cost-effectiveness. Mycoprotein is produced by Fusarium venenatum, a naturally occurring fungus that can be used as a substitute for conventional animal protein sources. Mycoprotein is high in protein and fiber while low in cholesterol, fat, sugar, and salt. Mycoprotein offers excellent functional and therapeutic potential in mitigating various health disorders. Furthermore, it helps maintain muscle synthesis and optimal plasma and cholesterol levels, regulating insulin, glucose, and satiety. This review is focused on the mycoprotein’s origin and production, with a particular emphasis on its nutritional, health, and economic opportunities and challenges.
Climate change is associated with global health emergencies. School-age children are particularly susceptible to the health effects associated with climate change. School nurses are uniquely positioned to address children’s climate-associated illnesses. This article is the first in a series of articles that aims to inform existing knowledge gaps, raise awareness among school nurses, and equip school nurses with the skills they need to protect the health of school-age children. This series of articles will briefly discuss different aspects of the Impact of Climate Change on Human Health diagram, which was created by the Centers for Disease Control and Prevention.
BACKGROUND AND OBJECTIVES: Chronic conditions and multimorbidity are increasing worldwide. Yet, understanding the relationship between climate change, air pollution, and longitudinal changes in multimorbidity is limited. Here, we examined the effects of sociodemographic and environmental risk factors in multimorbidity among adults aged 45+ and compared the rural-urban disparities in multimorbidity. RESEARCH DESIGN AND METHODS: Data on the number of chronic conditions (up to 14), sociodemographic, and environmental factors were collected in 4 waves of the China Health and Retirement Longitudinal Study (2011-2018), linked with the full-coverage particulate matter 2.5 (PM(2.5)) concentration data set (2000-2018) and temperature records (2000-2018). Air pollution was assessed by the moving average of PM(2.5) concentrations in 1, 2, 3, 4, and 5 years; temperature was measured by 1-, 2-, 3-, 4-, and 5-year moving average and their corresponding coefficients of variation. We used the growth curve modeling approach to examine the relationship between climate change, air pollution, and multimorbidity, and conducted a set of stratified analyses to study the rural-urban disparities in multimorbidity related to temperature and PM(2.5) exposure. RESULTS: We found the higher PM(2.5) concentrations and rising temperature were associated with higher multimorbidity, especially in the longer period. Stratified analyses further show the rural-urban disparity in multimorbidity: Rural respondents have a higher prevalence of multimorbidity related to rising temperature, whereas PM(2.5)-related multimorbidity is more severe among urban ones. We also found temperature is more harmful to multimorbidity than PM(2.5) exposure, but PM(2.5) exposure or temperature is not associated with the rate of multimorbidity increase with age. DISCUSSION AND IMPLICATIONS: Our findings indicate that there is a significant relationship between climate change, air pollution, and multimorbidity, but this relationship is not equally distributed in the rural-urban settings in China. The findings highlight the importance of planning interventions and policies to deal with rising temperature and air pollution, especially for rural individuals.
Pacific youth (15-24 years) experience multiple challenges to realising their sexual and repro-ductive health and rights (SRHR). Climate-related disasters compound pre-existing social and health inequities, including for youth SRHR. Meaningful youth engagement is crucial to under-stand their risks and inform inclusive disaster responses. This scoping review aimed to explore if and how both youth SRHR and youth engagement are identified in disaster policies and reported in humanitarian responses. We focus on the 2020 Tropical Cyclone (TC) Harold as a disaster event, providing a real-world example of current approaches to youth SRHR and youth engage-ment in disaster policies and disaster responses in Fiji, Vanuatu and Tonga. We extract current disaster risk reduction (DRR) policies (Pacific regional framework, national policies and publicly available provincial policies from Fiji, Vanuatu and Tonga), and TC Harold response reports available during the response period from April-September 2020. Using an intersectional policy analysis framework we conduct descriptive and narrative analyses for inclusion and identifica-tion of youth SRHR and youth engagement in policies and response reports. Analysis of 9 policies and 28 response reports highlight an existing gap between prioritising youth engagement in poli-cies and the reality of meaningful youth engagement in practice. We highlight a need for region-ally consistent disaggregated data to identify youth-specific risks and emphasise the importance of cross-sector collaboration to effectively address youth SRHR. Sociocultural barriers such as misconceptions and stigma, and unilateral decision-making by community power holders under-score the critical importance of applying a rights-based approach to DRR in the Pacific.
BACKGROUND: Climate change legislation will require dramatic increases in the energy efficiency of school buildings across the UK by 2050, which has the potential to affect air quality in schools. We assessed how different strategies for improving the energy efficiency of school buildings in England and Wales may affect asthma incidence and associated healthcare utilization costs in the future. METHODS: Indoor concentrations of traffic-related NO(2) were modelled inside school buildings representing 13 climate regions in England and Wales using a building physics school stock model. We used a health impact assessment model to quantify the resulting burden of childhood asthma incidence by combining regional health and population data with exposure-response functions from a recent high-quality systematic review/meta-analysis. We compared the effects of four energy efficiency interventions consisting of combinations of retrofit and operational strategies aiming to improve indoor air quality and thermal comfort on asthma incidence and associated hospitalization costs. RESULTS: The highest childhood asthma incidence was found in the Thames Valley region (including London), in particular in older school buildings, while the lowest concentrations and health burdens were in the newest schools in Wales. Interventions consisting of only operational improvements or combinations of retrofit and operational strategies resulted in reductions in childhood asthma incidence (547 and 676 per annum regional average, respectively) and hospital utilization costs (£52,050 and £64,310 per annum regional average, respectively. Interventions that improved energy efficiency without operational measures resulted in higher childhood asthma incidence and hospital costs. CONCLUSION: The effect of school energy efficiency retrofit on NO(2) exposure and asthma incidence in schoolchildren depends critically on the use of appropriate building operation strategies. The findings from this study make several contributions to fill the knowledge gap about the impact of retrofitting schools on exposure to air pollutants and their effects on children’s health.
Underutilized legumes are nutritionally important group of crops with immense medicinal values and contribute significantly as a resource of profit to the poor farmers. Horse gram (Macrotyloma uniflorum) and Bambara groundnut (Vigna subterranean) are two such underutilized legumes largely grown in India and other South Asian countries contribute significantly to the diet of poor people during adverse climatic condition particularly to them who cannot afford to grow pulses that require balanced nutrition. They are fit for diversification, green manuring and may be used as cover crops and also thrive well under stressful dry environment. Changing lifestyle and climate variability bring enough scope for their cultivation and profitability. Horse gram is medicinally superior to other traditionally consumed pulses and can fight against Bacillus subtilis, Staphylococcus aureus, Escherichia coli and Pseudomonas aeruginosa. Besides its use as fodder crop, it cures urinary stones, gastritis, excessive post-partum bleeding, rheumatism, coronary heart disease, diabetes, etc. Bambara groundnut has distinctive drought adaptations and is suitable under semi-arid climate. Extract of Bambara groundnut is used as weaning food in African countries. The present review focuses on origin, morphology, genetic diversity, traditional uses, nutritional and medicinal importance, potential as food and fodder crop and constraints to higher productivity of both horse gram and Bambara groundnut.
Neighbourhoods in cities generate social inequality risks due to outdated climate passive control infrastructures. Previous research has explored thermal comfort related to health emergencies in energy-poverty areas. However, there is scant research on the courtyard’s thermodynamic performance and its implication on thermal comfort throughout the year. This study evaluates that performance in Seville’s social housing courtyards in extreme seasons. Monitoring campaigns were conducted to assess courtyard temperatures linked to outdoor environment. Results show that temperatures within the courtyards were 8.6-12.1 degrees C lower than the outdoor environment during the warm season and up to 3.3 degrees C warmer at night during the cold season. Thermal comfort in courtyards could reach comfortable conditions during 92% of the daytime hours in summer, reducing the sensation of extreme cold by more than 6 degrees C in winter when evaluated using Physiologically Equivalent Temperature. This highlights the ability of courtyards to mitigate health risks linked to extreme temperatures.
OBJECTIVE: The insomnia severity index (ISI) is often used as a screening tool used with its recommended clinical cutoff scores. However, this practice presumes a single-factor structure, which has received little theoretical or empirical support. This study examined the factor structure of the ISI with the aim to validate its clinical application in postdisaster contexts. METHOD: One hundred sixty-eight Filipino adult survivors of the 2013 Super Typhoon Haiyan completed two waves of questionnaires that were 7 months apart. Confirmatory factor analyses were first conducted to compare models with different factor structures, followed by a test of longitudinal measurement invariance. The longitudinal interrelations among factors of the ISI as well as between insomnia and symptoms of psychological distress were then examined with path analysis. RESULTS: Results supported a two-factor model, composed of severity and impact of insomnia, which achieved strong longitudinal invariance. The change in impact of insomnia at T2 was predicted by severity of insomnia at T1. Impact of insomnia was significantly associated with symptoms of stress but not depression and anxiety. CONCLUSION: We preliminarily propose a model in which the impact of insomnia mediates the influence of severity of insomnia on subsequent stress. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
Environmental stresses including salinity, drought, cold, warmer temperatures, alterations in precipitation patterns, fluctuations of weather events, and increasing insect and disease infestations negatively affect crop production and nutritional values. This situation becomes further complicated due to the changing climatic conditions, thus raising concern about food security worldwide. Some worst-case projections indicated that by 2100, CO2 concentrations will reach 950 parts per million, temperatures will climb by 3.5 to more than 8 degrees C, sea level will rise by more than 2.4 meters, and the average farmland drought risk index will increase from 52.45 to 129. In addition, average precipitation will increase by 1%-3% in some areas and atmospheric water vapor will increase by 6%-7% for every degree of temperature rise. Rice (Oryza sativa L.) is a staple crop in many parts of the world. The main objective of this review is to highlight the prospects of rice for future climatic conditions. The present review depicts the advantages and prospects of rice and addresses why rice is a better option as a cereal crop for the future situations for food and nutritional sustainability. The impact of climate change on food and nutritional security can be mitigated by developing biotic and abiotic stress-tolerant and biofortified rice varieties. These rice cultivars can withstand the negative effects of climate change while also meeting the nutritional needs of future generations. Furthermore, this review underlines the forthcoming issues and measures that should be addressed to assure a sustainable food and nutritional supply in the era of global climate change.
Toxic cyanobacterial blooms are globally increasing with negative effects on aquatic ecosystems, water use and human health. Blooms’ main driving forces are eutrophication, dam construction, urban waste, replacement of natural vegetation with croplands and climate change and variability. The relative effects of each driver have not still been properly addressed, particularly in large river basins. Here, we performed a historical analysis of cyanobacterial abundance in a large and important ecosystem of South America (Uruguay river, ca 1900 km long, 365,000 km(2) basin). We evaluated the interannual relationships between cyanobacterial abundance and land use change, river flow, urban sewage, temperature and precipitation from 1963 to the present. Our results indicated an exponential increase in cyanobacterial abundance during the last two decades, congruent with an increase in phosphorus concentration. A sharp shift in the cyanobacterial abundance rate of increase after the year 2000 was identified, resulting in abundance levels above public health alert since 2010. Path analyses showed a strong positive correlation between cyanobacteria and cropland area at the entire catchment level, while precipitation, temperature and water flow effects were negligible. Present results help to identify high nutrient input agricultural practices and nutrient enrichment as the main factors driving toxic bloom formation. These practices are already exerting severe effects on both aquatic ecosystems and human health and projections suggest these trends will be intensified in the future. To avoid further water degradation and health risk for future generations, a large-scale (transboundary) change in agricultural management towards agroecological practices will be required.
The incidence and severity of heatwaves are increasing globally with concomitant health complications. Pregnancy is a critical time in the life course at risk of adverse health outcomes due to heat exposure. Dynamic physiological adaptations, which include altered thermoregulatory pathways, occur in pregnancy. If heat dissipation is ineffective, maternal and neonate health outcomes can be compromised. Indeed, epidemiological studies and animal models reveal that exposure to heat in pregnancy likely elicits an array of health complications including miscarriage, congenital anomalies, low birth weight, stillbirth, and preterm birth. Despite these associations, the reasons for why these complications occur are unclear. An array of physiological and endocrine changes in response to heat exposure in pregnancy likely underpin the adverse health outcomes, but currently, conclusive evidence is sparse. Accompanying these fundamental gaps in knowledge is a poor understanding of what exact climatic conditions challenge pregnant physiology. Moreover, the overlay of thermoregulatory-associated behaviours such as physical activity needs to be taken into consideration when assessing the risks to human health and identifying critical populations at risk. While the health impacts from heat are largely preventable through strategic interventions, for the related clinical practice, public health, and policy approaches to be effective, the gaps in basic science understanding urgently need to be addressed.
Continued warming trends lead to an increasing risk of exposure to extreme heatwaves, which threaten the health of urban residents, especially the ageing population. Here, we project the spatiotemporal trend of future exposure risk across 9188 global urban settlements between 2020 and 2100 under the shared socioeconomic pathway (SSP) 2-4.5 and SSP5-8.5 scenarios. Results show that urban heatwave exposure risk increases by 619% and 1740% for SSP2-4.5 and SSP5-8.5, respectively, and by 1642% to 5529% for the elderly. Notably, 69% of the elderly exposure risk comes from middle-income countries, where the increasing trend on the regional average is 1.2 times higher than that of high-income countries. There is an increasing trend towards greater concentration on large cities, especially in low- and lower-middle-income countries. In high-income countries, climate effects contribute 39% to 58% of increasing exposure for elderly individuals, whereas ageing effects play more prominent role in lower-income countries. This emphasizes the disproportionately higher heat-related burden for elderly individuals and inequitable trends in lower income countries. Understanding the vulnerable and priority regions in future heatwave exposure will inform adaptation strategies to support urban climate-resilient development.
BACKGROUND: Extreme precipitation events are becoming more frequent due to climate change. The present study aimed to explore the impacts of extreme precipitation on hospitalizations for acute aortic dissection (AAD) and to identify susceptible populations and quantify the corresponding disease burden. METHODS: The present study used a distributed lag nonlinear model (DLNM) with a quasi-Poisson function to investigate the association between extreme precipitation (≥95th percentile) and the risk of hospitalizations for AAD from 2015 to 2020 in Shantou, Guangdong Province, China. RESULTS: The significant adverse effects of extreme precipitation (relative to no precipitation) on daily AAD hospitalizations lasted from lag 5 [relative risk (RR): 1.0318, 95% confidence interval (CI): 1.0067-1.0575] to lag 9 (RR: 1.0297, 95% CI: 1.0045-1.0555) and reached its maximum at lag 7 (RR: 1.0382, 95% CI: 1.0105-1.0665). Males and older adult individuals (≥60 years) were more susceptible to extreme precipitation. A total of 3.68% (118 cases) of AAD hospitalizations were due to extreme precipitation. CONCLUSION: Extreme precipitation was significantly correlated with AAD hospitalizations. Government departments should actively implement extreme precipitation intervention measures to strengthen the protection of males and the older adult (≥60 years) and effectively reduce AAD hospitalizations.
Climate change has both direct and indirect effects on human health, and some populations are more vulnerable to these effects than others. Viral respiratory infections are most common illnesses in humans, with estimated 17 billion incident infections globally in 2019. Anthropogenic drivers of climate change, chiefly the emission of greenhouse gases and toxic pollutants from burning of fossil fuels, and the consequential changes in temperature, precipitation, and frequency of extreme weather events have been linked with increased susceptibility to viral respiratory infections. Air pollutants like nitrogen dioxide, particulate matter, diesel exhaust particles, and ozone have been shown to impact susceptibility and immune responses to viral infections through various mechanisms, including exaggerated or impaired innate and adaptive immune responses, disruption of the airway epithelial barrier, altered cell surface receptor expression, and impaired cytotoxic function. An estimated 90% of the world’s population is exposed to air pollution, making this a topic with high relevance to human health. This review summarizes the available epidemiologic and experimental evidence for an association between climate change, air pollution, and viral respiratory infection.
Climate change poses enormous ecological, socio-economic, health, and financial challenges. A novel extreme value theory is employed in this study to model the risk to environmental, social, and governance (ESG), healthcare, and financial sectors and assess their downside risk, extreme systemic risk, and extreme spillover risk. We use a rich set of global daily data of exchange-traded funds (ETFs) from 1 July 1999 to 30 June 2022 in the case of healthcare and financial sectors and from 1 July 2007 to 30 June 2022 in the case of ESG sector. We find that the financial sector is the riskiest when we consider the tail index, tail quantile, and tail expected shortfall. However, the ESG sector exhibits the highest tail risk in the extreme environment when we consider a shock in the form of an ETF drop of 25% or 50%. The ESG sector poses the highest extreme systemic risk when a shock comes from China. Finally, we find that ESG and healthcare sectors have lower extreme spillover risk (contagion risk) compared to the financial sector. Our study seeks to provide valuable insights for developing sustainable economic, business, and financial strategies. To achieve this, we conduct a comprehensive risk assessment of the ESG, healthcare, and financial sectors, employing an innovative approach to risk modelling in response to ecological challenges.
Population growth and changing climate are expected to increase human exposure to pathogens in tropical coastal waters. We examined microbiological water quality in three rivers within 2.3 km of each other that impact a Costa Rican beach and in the ocean outside their plumes during the rainy and dry seasons. We performed quantitative microbial risk assessment (QMRA) to predict the risk of gastroenteritis associated with swimming and the amount of pathogen reduction needed to achieve safe conditions. Recreational water quality criteria based on enterococci were exceeded in >90% of river samples but in only 13% of ocean samples. Multivariate analysis grouped microbial observations by subwatershed and season in river samples but only by subwatershed in the ocean. The modeled median risk from all pathogens in river samples was between 0.345 and 0.577, 10-fold above the U.S. Environmental Protection Agency (U.S. EPA) benchmark of 0.036 (36 illnesses/1,000 swimmers). Norovirus genogroup I (NoVGI) contributed most to risk, but adenoviruses raised risk above the threshold in the two most urban subwatersheds. The risk was greater in the dry compared to the rainy season, due largely to the greater frequency of NoVGI detection (100% versus 41%). Viral log(10) reduction needed to ensure safe swimming conditions varied by subwatershed and season and was greatest in the dry season (3.8 to 4.1 dry; 2.7 to 3.2 rainy). QMRA that accounts for seasonal and local variability of water quality contributes to understanding the complex influences of hydrology, land use, and environment on human health risk in tropical coastal areas and can contribute to improved beach management.IMPORTANCE This holistic investigation of sanitary water quality at a Costa Rican beach assessed microbial source tracking (MST) marker genes, pathogens, and indicators of sewage. Such studies are still rare in tropical climates. Quantitative microbial risk assessment (QMRA) found that rivers impacting the beach consistently exceeded the U.S. EPA risk threshold for gastroenteritis of 36/1,000 swimmers. The study improves upon many QMRA studies by measuring specific pathogens, rather than relying on surrogates (indicator organisms or MST markers) or estimating pathogen concentrations from the literature. By analyzing microbial levels and estimating the risk of gastrointestinal illness in each river, we were able to discern differences in pathogen levels and human health risks even though all rivers were highly polluted by wastewater and were located less than 2.5 km from one another. This variability on a localized scale has not, to our knowledge, previously been demonstrated. This holistic investigation of sanitary water quality at a Costa Rican beach assessed microbial source tracking (MST) marker genes, pathogens, and indicators of sewage. Such studies are still rare in tropical climates.
The frequency of temperature extremes is rising due to global warming. During heatwaves, the older adults are more likely to experience heat-related illnesses due to impaired sweating and cardiovascular functions. Few existing studies have systematically examined the healthy elderly’s survival time and heatstroke/hyper-thermia prevention measures during prolonged heatwaves.Objectives: We aimed to systematically examine the core temperature responses of elderly during prolonged heatwaves and to predict survival time for the elderly using the modified Stolwijk thermoregulatory model.Methods: The Stolwijk thermoregulatory model was modified to account for sweating and vasodilation alterations in the elderly during exposure to high temperatures. The model was then used to study the influence of envi-ronmental conditions on core temperature responses during the onset of classic heatstroke (Tcore = 40.5-40.6 degrees C) and to estimate survival time.Results: Core temperature increases in three distinct stages under intense heat stress: an initial stage for ther-moregulatory equilibrium alignment, a thermoregulatory steady-state, and a last rapid progression due to uncompensable heat stress resulting from dehydration. At the third stage, dehydration led to a fatal classic heatstroke. The increased air temperature and relative humidity shortened the survival duration.Conclusions: The extended thermoregulation model was able to predict the core temperature responses of healthy elderly individuals exposed to extreme heat with reasonable accuracy (+/- 0.3 degrees C). Furthermore, the model can be used to predict survival time and aid in the selection of efficient heatstroke prevention measures suited to the elderly.
BACKGROUND: Cold winter weather increases the risk of stroke, but the evidence is scarce on whether the risk increases during season-specific cold weather in the other seasons. The objective of our study was to test the hypothesis of an association between personal cold spells and different types of stroke in the season-specific context, and to formally assess effect modification by age and sex. METHODS: We conducted a case-crossover study of all 5396 confirmed 25-64 years old cases with stroke in the city of Kaunas, Lithuania, 2000-2015. We assigned to each case a one-week hazard period and 15 reference periods of the same calendar days of other study years. A personal cold day was defined for each case with a mean temperature below the fifth percentile of the frequency distribution of daily mean temperatures of the hazard and reference periods. Conditional logistic regression was applied to estimate odds ratios (OR) and 95% confidence intervals (95% CI) representing associations between time- and place-specific cold weather and stroke. RESULTS: There were positive associations between cold weather and stroke in Kaunas, with each additional cold day during the week before the stroke increases the risk by 3% (OR 1.03; 95% CI 1.00-1.07). The association was present for ischemic stroke (OR 1.05; 95% CI 1.01-1.09) but not hemorrhagic stroke (OR 0.98; 95% CI 0.91-1.06). In the summer, the risk of stroke increased by 8% (OR 1.08; 95% CI 1.00-1.16) per each additional cold day during the hazard period. Age and sex did not modify the effect. CONCLUSIONS: Our findings show that personal cold spells increase the risk of stroke, and this pertains to ischemic stroke specifically. Most importantly, cold weather in the summer season may be a previously unrecognized determinant of stroke.
Due to rapid urbanization, Delhi experiences frequent pollution events, and the particulate matter load exceeds the prescribed limit often. This study analyzes nanoparticles (10 to 1090 nm) during different emission scenarios, seasonal and meteorological conditions in two phases: April to June 2021 (Period I) and October to November 2021 (Period II). Period I experienced around 31% less concentration of particles (similar to 2.4 x 10(4) cm(-3)) due to lockdown restrictions and, on the other hand, particle concentration increased by 35% compared to normal conditions due to the sudden rise in firework emissions in Period II. Except for the post-Diwali phase (10(4) cm(-3) to 10(5) cm(-3)), the concentrations lie between 10(3) cm(-3) and 10(5) cm(-3). The Aitken modes contribute 10 to 30% of total concentration in both periods. Particles in nucleation and accumulation modes contribute 30 to 40%, 20 to 30%, 15 to 25%, and 35 to 50% in Periods I and II, respectively. Number concentration-based studies are essential for estimating the potential impacts on human health due to air pollution. The study provides information regarding vehicle emission-based particle concentration under various emission scenarios in urban cities, which is crucial for estimation of emissions, health impact assessment, future policy formulation and strategy measures.
Air pollution may be involved in spreading dengue fever (DF) besides rainfalls and warmer temperatures. While particulate matter (PM), especially those with diameter of 10 μm (PM10) or 2.5 μm or less (PM25), and NO2 increase the risk of coronavirus 2 infection, their roles in triggering DF remain unclear. We explored if air pollution factors predict DF incidence in addition to the classic climate factors. Public databases and DF records of two southern cities in Taiwan were used in regression analyses. Month order, PM10 minimum, PM2.5 minimum, and precipitation days were retained in the enter mode model, and SO2 minimum, O3 maximum, and CO minimum were retained in the stepwise forward mode model in addition to month order, PM10 minimum, PM2.5 minimum, and precipitation days. While PM2.5 minimum showed a negative contribution to the monthly DF incidence, other variables showed the opposite effects. The sustain of month order, PM10 minimum, PM2.5 minimum, and precipitation days in both regression models confirms the role of classic climate factors and illustrates a potential biological role of the air pollutants in the life cycle of mosquito vectors and dengue virus and possibly human immune status. Future DF prevention should concern the contribution of air pollution besides the classic climate factors.
OBJECTIVE: Climate and environmental change is a well-known factor causing bronchial asthma in children. After the outbreak of coronavirus disease (COVID-19), climate and environmental changes have occurred. The present study investigated the relationship between climate changes (meteorological and environmental factors) and the number of hospitalizations for pediatric bronchial asthma in Suzhou before and after the COVID-19 pandemic. METHODS: From 2017 to 2021, data on daily inpatients diagnosed with bronchial asthma at Children’s Hospital of Soochow University were collected. Suzhou Meteorological and Environmental Protection Bureau provided daily meteorological and environmental data. To assess the relationship between bronchial asthma-related hospitalizations and meteorological and environmental factors, partial correlation and multiple stepwise regression analyses were used. To estimate the effects of meteorological and environmental variables on the development of bronchial asthma in children, the autoregressive integrated moving average (ARIMA) model was used. RESULTS: After the COVID-19 outbreak, both the rate of acute exacerbation of bronchial asthma and the infection rate of pathogenic respiratory syncytial virus decreased, whereas the proportion of school-aged children and the infection rate of human rhinovirus increased. After the pandemic, the incidence of an acute asthma attack was negatively correlated with monthly mean temperature and positively correlated with PM(2.5). Stepwise regression analysis showed that monthly mean temperature and O(3) were independent covariates (risk factors) for the rate of acute asthma exacerbations. The ARIMA (1, 0, 0) (0, 0, 0) 12 model can be used to predict temperature changes associated with bronchial asthma. CONCLUSION: Meteorological and environmental factors are related to bronchial asthma development in children. The influence of meteorological and environmental factors on bronchial asthma may be helpful in predicting the incidence and attack rates.
With the heavy negative health effect and economic burden of hip fractures in the elderly, the relationship of hip fractures with climate and seasonal influenza has not been quantified explicitly. In this study, we aim to make use of population-based data to evaluate the impact of meteorological factors and influenza activity on the hip fracture admissions for the elderly in Hong Kong from 1998 to 2019. Weekly numbers of admissions for the elderly due to hip fractures were used as the study outcome, and were matched with the meteorological factors included air temperature, relative humidity, solar radiation, and total rainfall. Strain-specific influenza-like illness-positive (ILI+) rates were employed as proxies for seasonal influenza activity. Quasi-Poisson generalized additive model in conjunction with distributed-lag non-linear model was used to elucidate the association of interest. According to the results, a total of 191,680 hip fracture admissions for the elderly aged ≥65 years were recorded over a 22-year span. The cumulative adjusted relative risks of hip fracture were 1.35 (95 % CI, 1.26-1.44) at the 5th percentile (15.05 °C) of air temperature, and 1.06 (95 % CI, 1.02-1.10) at the 95th percentile (20.91 MJ/m(2)) of solar radiation, with the reference value set to their respective medians. ILI+ rates were not associated with the risk of hip fracture. In the stratified analyses, a stronger association between cold condition and hip fracture was observed in males. Based on the results, strategies for preventing hip fractures with a focus on behaviors under unfavorable weather conditions should be targeted at individuals at risk.
Over data-sparse regions such as southern Africa, reanalysis products represent valuable proxies for observed weather data. These products are, however, associated with a range of strengths and weaknesses which cannot be overlooked. Hence, for the period 1979-2021, we explored the performance of three ERA5-based reanalysis products (i.e. AgERA5, ERA5 and ERA5-Land) for their spatiotemporal representation of mean summer (November-March) and winter (May-September) temperatures, and coldwave and heatwave characteristics of the seasonal average number of events and days, and magnitude across southern Africa. Compared to the National Oceanic and Atmospheric Administration Climatology Prediction Centre (NOAA CPC) gridded observation-based temperature reference dataset, the reanalysis datasets adequately reproduced spatiotemporal characteristics of mean daily temperatures, with high area average correlations (r > 0.8). Summer (winter) temperatures were, however, typically under-estimated (over-estimated), with area average biases ranging from-0.22 degrees C (ERA5) to-0.11 degrees C (AgERA5) for summer and 0.31 degrees C (ERA5) to 0.51 degrees C (ERA5-Land) for winter. These biases were reflected in the general tendency for under-estimation (over-estimation) of the average coldwave (heatwave) magnitudes, with biases ranging from an average of 1.04 degrees C2 (AgERA5) to 1.76 degrees C2 (ERA5Land) for coldwave magnitudes and-0.03 degrees C2 (AgERA5 and ERA5-Land) to-0.09 degrees C2 (ERA5) for heatwave magnitudes. Of the coldwave and heatwave indices investigated, the ERA5-based coldwave and heatwave seasonally averaged magnitudes were associated with the poorest performance, with the weakest correlations and most statistically significant biases, especially for regions outside South Africa which have substantially fewer observed temperature records. While the reanalysis products were spatiotemporally consistent in their performance for the seasonally averaged number of coldwave and heatwave days and events, they typically overestimated the number of days, by almost two days for both indices, contributing to these events, while they generally under-estimated (over-estimated) the number of coldwave (heatwave) events by less than one event for both indices. On average, seasonally averaged heatwave characteristics were somewhat better represented than that for coldwaves. Despite this, the ERA5-based reanalysis products performed relatively well overall and are valuable to apply in further research considering coldwaves and heatwaves across southern Africa, provided their limitations are acknowledged. Impact-based studies exploring heatwave and coldwave influences on human health, crop yields, livestock thermal comfort, and water availability, for instance, will, however, likely require higher grid resolutions offered by the AgERA5 and ERA5-Land products.
Natural hazards are highly threatening to human survival and development. Over the last 4 decades, research on natural hazards has become increasingly advanced and in-depth. With the continued development of science and technology and the complex changes in the environment, reviewing research fields and exploring current research hot spots and trends have become a key issue. In this study, 25,969 publications from the Web of Science were selected and statistically analyzed using bibliometrics to extract information on authors, institutions, countries/regions, journals, disciplines, keywords, and abstracts. Research hot spots were identified by machine learning. The results showed that (1) the number and growth rate of publications related to natural hazards are continuously increasing; (2) the author Biswajeet Pradhan, the institution of Chinese Academy of Sciences, the country of US, and the journal Natural Hazards are the most prolific in each aspect, respectively, and Geosciences Multidisciplinary is the most important subject; (3) keyword analysis showed that earthquakes, landslides, and floods are the core of natural hazards research, and climate change, disaster prevention and mitigation, and emergency management have received more and more attention in recent years; and (4) among the topics obtained from latent Dirichlet allocation (LDA) models, the most frequent topics are “Mechanism and simulation” and “Risk Assessment,” and “Drought and water hazards” and “Machine learning” are developing rapidly.
Northern NSW (NNSW) is a ‘hotspot’ for disasters, particularly floods. Floods can have powerful impacts on mental health, including post-traumatic stress disorder (PTSD). Previous disaster research has found that peritraumatic experience – ‘. . . the emotional and physiological distress experienced during and/or immediately after a traumatic event’ (Bunnell et al., 2018) – is highly associated with subsequent development of PTSD. In this Research Letter, we present updated findings from a NNSW study in 2017 of the link between peritraumatic experience and PTSD (not previously included in papers published from this study). These data are particularly pertinent as in 2022 there was more extreme flooding in NNSW with numerous reports of peritraumatic experience, which would suggest there is likely to be a huge unmet need for effective PTSD treatment in the coming years.
BACKGROUND: Residential green spaces (RGS) are a crucial aspect of urban life, which provide residents with a positive living environment both for mental and physical well-being. However, extreme heat events caused by global warming and local urban heat island effects are threatening the public health of rapidly growing populations. This is especially true for mental health. Depression is a mental illness that can be impacted by extreme heat events, i.e., heatwaves. OBJECTIVE: This study aimed to investigate the potential for residential green spaces (RGS) to alleviate depression by reducing heat stress sensitivity during extreme heat events. METHODS: We conducted a literature review using scientometric analysis with CiteSpace to summarize existing research on the relationships between RGS, depression, and heatwaves. We proposed a conceptual framework for the relationship between RGS and depression, and that extreme heat events may be an important contributor to depression. RESULTS: Our review found that RGS can provide ecosystem services that lower ambient temperatures through evaporative cooling, radiation reflection, humidity regulation, and shading. Different types of RGS, i.e., small green spaces, green roofs, green walls, and street trees, have varying cooling capacities. The mechanisms by which RGS alleviate depression during heatwaves involve green space composition, exposure, physical activity, social contacts, and cohesion. And we proposed a conceptual framework for the relationship between RGS and depression, and that extreme heat events may be an important contributor to depression. CONCLUSION: We present a multidimensional RGS evaluation roadmap to inform green space design for reducing depression during heatwaves. Establishing RGS multidimensional evaluation can guide future research on leveraging RGS to build resilience against extreme heat and improve public mental health.
Drawing on ethnographic research with Maori women in northern Aotearoa (New Zealand) I use this paper to encourage reflection on how the loss and damages (L&D) discourse might better engage with Indigenous peoples’ lived realities of climate change. I argue L&D scholarship and policy-making is dominated by reductive economic, hazard-focussed, and fatalistic framings of climate impacts and adaptation that are largely misaligned with Indigenous (and specifically Maori) approaches to loss and damage. I illustrate recurrent themes in the research using the narratives of two Maori women who employ forms of cultural resurgence to revitalise health-giving relationships with the land and offset multiple losses, damages, and harms to health and wellbeing sustained through settler colonialism, neoliberalism, and climate change. The narratives re-frame loss, damage, and adaptation from the perspective of Maori women. They provide much-needed empirical evidence of intangible, non-economic, lived, and felt L&D, their socio-political (as opposed to simply biophysical) drivers, and the actions Indigenous women employ to transform vulnerability, adapt to change, and secure intergenerational wellbeing in line with their view of the world. Together, the narratives underscore the vital importance of engaging social context when conceptualising and responding to L&D, support the move towards Indigenous-led, decolonised adaptation, and reaffirm the important role of Indigenous women in responding to climate change and leading social transformation.
In climate politics, understanding and contesting the meaning of vulnerability has proved extremely difficult. On the one hand, it is an increasingly formalised term that means something very specific scientifically and methodologically within the climate change institutions. On the other hand, vulnerability is part of a colonial discursive framework of risk. In this article, I show how contestations into the scientific project have not sufficiently worked to address the colonial geographic imaginaries that underlie the discursive framework of vulnerability. I suggest that bringing together the work of critical adaptation studies (CAS) with critical feminist and decolonial scholarship, such as the counternarratives of the Pacific,offers a way to resist the victimising politics of disposability and also rethink vulnerability as a concept of resistance, relationality and reflexivity.
Lutzomyia longipalpis is known as one of the primary insect vectors of visceral leishmaniasis. For such ectothermic organisms, the ambient temperature is a critical life factor. However, the impact of temperature has been ignored in many induced-stress situations of the vector life. Therefore, this study explored the interaction of Lu. longipalpis with temperature by evaluating its behaviour across a thermal gradient, thermographic recordings during blood-feeding on mice, and the gene expression of heat shock proteins (HSP) when insects were exposed to extreme temperature or infected. The results showed that 72 h after blood ingestion, Lu. longipalpis became less active and preferred relatively low temperatures. However, at later stages of blood digestion, females increased their activity and remained at higher temperatures. Real-time imaging showed that the body temperature of females can adjust rapidly to the host and remain constant until the end of blood-feeding. Insects also increased the expression of HSP90(83) during blood-feeding. Our findings suggest that Lu. longipalpis interacts with temperature by using its behaviour to avoid temperature-induced physiological damage during the gonotrophic cycle. However, the expression of certain HSP might be triggered to mitigate thermal stress in situations where a behavioural response is not the best option.
Increasing average temperatures and heat waves are having devasting impacts on human health and well-being but studies of heat impacts and how people adapt are rare and often confined to specific locations. In this study, we explore how analysis of conversations on social media can be used to understand how people feel about heat waves and how they respond. We collected global Twitter data over four months (from January to April 2022) using predefined hashtags about heat waves. Topic modelling identified five topics. The largest (one-third of all tweets) was related to sports events. The remaining two-thirds could be allocated to four topics connected to communication about climate-related heat or heat waves. Two of these were on the impacts of heat and heat waves (health impacts 20%; social impacts 16%), one was on extreme weather and climate change attribution (17%) and the last one was on perceptions and warning (13%). The number of tweets in each week corresponded well with major heat wave occurrences in Argentina, Australia, the USA and South Asia (India and Pakistan), indicating that people posting tweets were aware of the threat from heat and its impacts on the society. Among the words frequently used within the topic ‘Social impacts’ were ‘air-conditioning’ and ‘electricity’, suggesting links between coping strategies and financial pressure. Apart from analysing the content of tweets, new insights were also obtained from analysing how people engaged with Twitter tweets about heat or heat waves. We found that tweets posted early, and which were then shared by other influential Twitter users, were among the most popular. Finally, we found that the most popular tweets belonged to individual scientists or respected news outlets, with no evidence that misinformation about climate change-related heat is widespread.
As a result of climate change heatwaves are expected to increase in frequency and intensity and will have detrimental impacts on human health globally. EDs are often the critical point of care for acute heat illnesses and other conditions associated with heat exposure. Existing literature has focused on heatwave-related hospitalisation and mortality. This scoping review aimed to identify, evaluate and summarise current literature regarding patient characteristics and outcomes of ED admissions from heatwaves. A scoping review of the literature was conducted using six databases: Medline, EMBASE, EMCARE, CINAHL, PsycINFO, and Scopus, using MeSH terms and keywords related to ‘heatwave’ and ‘Emergency Department’. Articles were included if they were: published in English from January 2000 to August 2021, related to ED, and examined high temperature periods consistent with heatwave criteria. Articles were appraised using the Mixed Methods Appraisal Tool (MMAT). Thirty-one studies were included, mostly from the United States, Australia, and France. The study designs include retrospective case analysis, case-control, and time-series analysis. Eight studies examined known heatwaves, 21 used different criteria to identify heatwave occurrence, and two focused on heat-related illness. The selected articles display a moderate-high quality on MMAT. ED admissions for both heat-related illnesses and other conditions increased during heatwaves, with up to 18.5 times risk increase. The risk was elevated for all population groups, and substantially in the elderly, male patients with certain comorbidities, medications, or lower socioeconomic status. Outcomes including hospitalisation and mortality rates after ED admissions showed positive associations with heatwaves. The heatwaves resulting from climate change will place increasing demands on EDs providing care for increasingly susceptible populations. Significant public heatwave planning across multiple sectors is required to reduce the risk of overwhelming EDs with these patients.
Heat-related mortality has been identified as one of the key climate extremes posing a risk to human health. Current research focuses largely on how heat mortality increases with mean global temperature rise, but it is unclear how much climate change will increase the frequency and severity of extreme summer seasons with high impact on human health. In this probabilistic analysis, we combined empirical heat-mortality relationships for 748 locations from 47 countries with climate model large ensemble data to identify probable past and future highly impactful summer seasons. Across most locations, heat mortality counts of a 1-in-100 year season in the climate of 2000 would be expected once every ten to twenty years in the climate of 2020. These return periods are projected to further shorten under warming levels of 1.5 °C and 2 °C, where heat-mortality extremes of the past climate will eventually become commonplace if no adaptation occurs. Our findings highlight the urgent need for strong mitigation and adaptation to reduce impacts on human lives.
Facing a warming climate, many tropical species-including the arthropod vectors of several infectious diseases-will be displaced to higher latitudes and elevations. These shifts are frequently projected for the future, but rarely documented in the present day. Here, we use one of the most comprehensive datasets ever compiled by medical entomologists to track the observed range limits of African malaria mosquito vectors (Anopheles spp.) from 1898 to 2016. Using a simple regression approach, we estimate that these species’ ranges gained an average of 6.5 m of elevation per year, and the southern limits of their ranges moved polewards 4.7 km per year. These shifts would be consistent with the local velocity of recent climate change, and might help explain the incursion of malaria transmission into new areas over the past few decades. Confirming that climate change underlies these shifts, and applying similar methods to other disease vectors, are important directions for future research.
INTRODUCTION: In Fiji, multiple burdens of malnutrition including undernutrition, overweight/obesity, and micronutrient deficiencies coexist at the individual, household, and population levels. The diets of children, adolescents, and adults are generally unhealthy. The objective of this review was to understand how the dietary behaviors of children, adolescents, and women in Fiji are influenced by individual, social, and food environment factors. METHODS: This rapid review was conducted to synthesize existing evidence, identify research gaps in the evidence base, and make recommendations for future research. The Cochrane Rapid Reviews Methods and the updated guideline for reporting systematic reviews were used. The search strategy for this rapid review was based on the Population Context Outcome [P(E)CO] framework, including search terms for population (children, adolescents, and adults), context (Fiji), and outcome (dietary behaviors). Searches were conducted in PubMed, Scopus, PsycINFO, and Google Scholar. RESULTS: The 22 studies included in this review identified different factors influencing dietary behaviors in Fiji. Individual preferences for processed and imported foods, especially of younger generations, and social dynamics, especially gender norms and social pressure, to serve meat and overeat appeared to be prominent in driving dietary habits. The ongoing nutrition transition has led to increasing availability and affordability of ultra-processed and fast foods, especially in urban areas. Concerns about food safety and contamination and climate change and its effect on local food production also appear to influence dietary choices. DISCUSSION: This review identified different dynamics influencing dietary behaviors, but also research gaps especially with regard to the food environment, calling for an integrated approach to address these factors more systemically.
Wildfires are a significant source of organic aerosol during summer, with major impacts on air quality and climate. However, studies in Europe suggest a surprisingly low (less than 10%) contribution of biomass burning organic aerosol to average summertime fine particulate matter levels. In this study we combine field measurements and atmospheric chemical transport modeling, to demonstrate that the contribution of wildfires to fine particle levels in Europe during summer is seriously underestimated. Our work suggests that the corresponding contribution has been underestimated by a factor of 4-7 and that wildfires were responsible for approximately half of the total OA in Europe during July 2022. This discrepancy with previous work is due to the rapid physicochemical transformation of these emissions to secondary oxidized organic aerosol with an accompanying loss of its organic chemical fingerprints. These atmospheric reactions lead to a regionally distributed background organic aerosol that is responsible for a significant fraction of the health-related impacts caused by fine particles in Europe and probably in other continents. These adverse health effects can occur hundreds or even thousands of kilometers away from the fires. We estimate that wildfire emissions are responsible for 15-22% of the deaths in Europe due to exposure to fine particulate matter during summer.
As the world warms, extremely hot days are becoming more frequent and intense, reaching unprecedented temperatures associated with excess mortality. Here, we assess how anthropogenic forcings affect the likelihood of maximum daily temperatures above 50 degrees C at 12 selected locations around the Mediterranean and the Middle East. We adopt a risk-based attribution methodology that utilises climate model simulations with and without human influence to estimate the probability of extremes. We find that at all locations, temperatures above 50 degrees C would have been extremely rare or impossible in the pre-industrial world, but under human-induced climate change their likelihood is rapidly increasing. At the hottest locations we estimate the likelihood has increased by a factor of 10-10(3), whereas by the end of the century such extremes could occur every year. All selected locations may see 1-2 additional months with excess thermal deaths by 2100, which stresses the need for effective adaptation planning.
We analyze the very short-term causal impact of exposure to one of the most powerful storms ever recorded to strike land on locus of control, beliefs in reciprocity, and risk preferences within a sample of 2,352 individuals. We find that people exhibit significantly lower external locus of control, beliefs in reciprocity, and risk aversion after the shock. Our identification is based on field work that coincidentally started shortly before the typhoon and that continued thereafter. The short-term impact we document has not been observed previously, and we thus fill a gap in the emerging literature on the stability of non-cognitive skills. (c) 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Involuntary displacement from conflict and other causes leads to clustering of refugees and internally displaced people, often in long-term settlements. Within refugee-hosting countries, refugee settlements are frequently located in isolated and remote areas, characterized by poor-quality land and harsh climatic conditions. Yet, the exposure of refugee settlements to climatic events is underresearched. In this article, we study the exposure of the 20 largest refugee settlements worldwide to extreme variations in climatic conditions. The analysis integrates exposure of camp locations compared to the national trends for both slow- and rapid-onset events and includes descriptive statistics, signal-to-noise analyses, and trend analyses. Our findings show that most refugee settlements included face relatively high exposure to slow-onset events, including high temperatures (for settlements in Kenya, Ethiopia, Rwanda, Sudan, and Uganda), low temperatures (in the case of Jordan and Pakistan), and low levels of rainfall (in Ethiopia, Rwanda, Kenya, and Uganda) compared to national averages. Our findings for rapid-onset events-heatwaves, coldwaves, and extreme rainfall-are less conclusive compared to country trends, although we find relatively high exposure to extreme rainfall in Cox’s Bazar, Bangladesh. Our analyses confirm that refugee populations are exposed to extreme weather conditions postdisplacement, which, in combination with their sociopolitical exclusion, poses a threat to well-being and increased marginalization. Our findings call for an inclusive and integrated approach, including refugees and their host communities, in designing climate adaptation and sustainable development policies, in order to promote equitable sustainable development pathways in refugee-hosting countries.
Human heat stress depends jointly on atmospheric temperature and humidity. Wetter soils reduce tempera-ture but also raise humidity, making the collective impact on heat stress unclear. To better understand these interactions, we use ERA5 to examine the coupling between daily average soil moisture and wet-bulb temperature (Tw) and its seasonal and diurnal cycle at global scale. We identify a global soil moisture-Tw coupling pattern with both widespread negative and positive correlations in contrast to the well-established cooling effect of wet soil on dry-bulb temperature. Regions showing positive correlations closely resemble previously identified land-atmosphere coupling hotspots where soil mois-ture effectively controls surface energy partition. Soil moisture-Tw coupling varies seasonally closely tied to monsoon de-velopment, and the positive coupling is slightly stronger and more widespread during nighttime. Local-scale analysis demonstrates a nonlinear structure of soil moisture-Tw coupling with stronger coupling under relatively dry soils. Hot days with high Tw values show wetter-than-normal soil, anomalous high latent and low sensible heat flux from a cooler surface, and a shallower boundary layer. This supports the hypothesis that wetter soil increases Tw by concentrating surface moist enthalpy flux within a shallower boundary layer and reducing free-troposphere-air entrainment. We identify areas of par-ticular interest for future studies on the physical mechanisms of soil moisture-heat stress coupling. Our findings suggest that increasing soil moisture might amplify heat stress over large portions of the world including several densely populated areas. These results also raise questions about the effectiveness of evaporative cooling strategies in ameliorating urban heat stress. SIGNIFICANCE STATEMENT: The purpose of this study is to provide a global picture of the relationship between soil moisture anomalies and a heat stress metric that includes the joint effects of temperature and humidity. This is im-portant because a better understanding of this relationship will help improve the prediction of extreme heat stress events and inform strategies for ameliorating heat stress. We find a widespread positive correlation between soil mois-ture and heat stress, in contrast to studies relying on temperature alone. This raises the possibility that, over much of the world, and in the most populous regions, strategies like irrigation or “greening” that can reduce temperature might be ineffective or even harmful in heat stress withhumidity incorporated
The expansion of tick-borne diseases challenges ecologists, epidemiologists, and public health professionals to understand the mechanisms underlying its emergence. The vast majority of tick-borne disease research emphasizes Ixodes spp. and Borrelia burgdorferi, with less known about other Ixodidae ticks that serve as vectors for an increasing number of pathogens of public health concern. Here, we review and discuss the current knowledge of tick and tick-borne pathogens in an undersurveilled region of the United States. We discuss how landscape shifts may potentially influence tick vector dynamics and expansion. We also discuss the impact of climate change on the phenology of ticks and subsequent disease transmission. Increased efforts in the Central Plains to conduct basic science will help understand the patterns of tick distribution and pathogen prevalence. It is crucial to develop intensive datasets that may be used to generate models that can aid in developing mitigation strategies.
OBJECTIVES: Diarrheal disease continues to be a significant cause of morbidity and mortality. We investigated how anomalies in monthly average temperature, precipitation, and surface water storage (SWS) impacted bacterial, and viral diarrhea morbidity in Taiwan between 2004 and 2015. METHODS: A multivariate analysis using negative binomial generalized estimating equations was employed to quantify age-specific and cause-specific cases of diarrhea associated with anomalies in temperature, precipitation, and SWS. RESULTS: Temperature anomalies were associated with an elevated rate of all-cause infectious diarrhea at a lag of 2 months, with the highest risk observed in the under-5 age group (incidence rate ratio [IRR], 1.03, 95% confidence interval [CI], 1.01 to 1.07). Anomalies in SWS were associated with increased viral diarrhea rates, with the highest risk observed in the under-5 age group at a 2-month lag (IRR, 1.27; 95% CI, 1.14 to 1.42) and a lesser effect at a 1-month lag (IRR, 1.18; 95% CI, 1.06 to 1.31). Furthermore, cause-specific diarrheal diseases were significantly affected by extreme weather events in Taiwan. Both extremely cold and hot conditions were associated with an increased risk of all-cause infectious diarrhea regardless of age, with IRRs ranging from 1.03 (95% CI, 1.02 to 1.12) to 1.18 (95% CI, 1.16 to 1.40). CONCLUSIONS: The risk of all-cause infectious diarrhea was significantly associated with average temperature anomalies in the population aged under 5 years. Viral diarrhea was significantly associated with anomalies in SWS. Therefore, we recommend strategic planning and early warning systems as major solutions to improve resilience against climate change.
The costs of climate change are often estimated in monetary terms, but this raises ethical issues. Here we express them in terms of numbers of people left outside the ‘human climate niche’-defined as the historically highly conserved distribution of relative human population density with respect to mean annual temperature. We show that climate change has already put similar to 9% of people (>600 million) outside this niche. By end-of-century (2080-2100), current policies leading to around 2.7 degrees C global warming could leave one-third (22-39%) of people outside the niche. Reducing global warming from 2.7 to 1.5 degrees C results in a similar to 5-fold decrease in the population exposed to unprecedented heat (mean annual temperature >= 29 degrees C). The lifetime emissions of similar to 3.5 global average citizens today (or similar to 1.2 average US citizens) expose one future person to unprecedented heat by end-of-century. That person comes from a place where emissions today are around half of the global average. These results highlight the need for more decisive policy action to limit the human costs and inequities of climate change.
Leptospirosis, a global zoonotic disease, is prevalent in tropical and subtropical regions, including Fiji where it’s endemic with year-round cases and sporadic outbreaks coinciding with heavy rainfall. However, the relationship between climate and leptospirosis has not yet been well characterised in the South Pacific. In this study, we quantify the effects of different climatic indicators on leptospirosis incidence in Fiji, using a time series of weekly case data between 2006 and 2017. We used a Bayesian hierarchical mixed-model framework to explore the impact of different precipitation, temperature, and El Niño Southern Oscillation (ENSO) indicators on leptospirosis cases over a 12-year period. We found that total precipitation from the previous six weeks (lagged by one week) was the best precipitation indicator, with increased total precipitation leading to increased leptospirosis incidence (0.24 [95% CrI 0.15-0.33]). Negative values of the Niño 3.4 index (indicative of La Niña conditions) lagged by four weeks were associated with increased leptospirosis risk (-0.2 [95% CrI -0.29 –0.11]). Finally, minimum temperature (lagged by one week) when included with the other variables was positively associated with leptospirosis risk (0.15 [95% CrI 0.01-0.30]). We found that the final model was better able to capture the outbreak peaks compared with the baseline model (which included seasonal and inter-annual random effects), particularly in the Western and Northern division, with climate indicators improving predictions 58.1% of the time. This study identified key climatic factors influencing leptospirosis risk in Fiji. Combining these results with demographic and spatial factors can support a precision public health framework allowing for more effective public health preparedness and response which targets interventions to the right population, place, and time. This study further highlights the need for enhanced surveillance data and is a necessary first step towards the development of a climate-based early warning system.
Global warming and advancing urbanization lead to an increased heat exposure for city dwellers. Especially during summertime heatwaves, extreme daytime as well as high nighttime tempera-tures expose vulnerable people to potentially deadly heat risk. This applies specifically to indoor air temperatures, since people spend a lot of their time indoors. Against this background, this study relates outdoor and indoor air temperature measurements to area-wide geospatial data regarding summertime urban heat in the city of Augsburg, Germany. Air temperature data is collected from formalized as well as citizen science measurements, while remote sensing data with very-high spatial resolution (VHR) is utilized for assessment of their drivers and influencing factors. A land use regression approach is developed for city-wide modeling of outdoor and indoor air temperatures at the level of individual residential buildings. Daytime outdoor temperatures could be largely explained by vegetation parameters and imperviousness, whereas nighttime temperatures were more related to the building stock and radiation properties. For indoor tem-peratures, building density as well as building height and volume are additionally relevant. Outdoor air temperatures could be modeled with higher accuracies (mean absolute error (MAE) < 0.5 degrees C) compared to indoor temperatures (MAE < 1.5 degrees C), whereas outdoor and indoor modeling results are consistent with well-known patterns across different local climate zones (LCZ).
The use of reclaimed water for irrigation is an option that is becoming increasingly widespread to alleviate water scarcity and to cope with drought. However, reclaimed water, if used for irrigation, may introduce Contaminants of Emerging Concern (CECs) into the agroecosystems, which may be taken up by the crops and subsequently enter the food chain. The number of CECs is steadily increasing due to their continuous introduction on the market for different uses. There is an urgent need to draw up a short list of potential high priority CECs, which are substances that could be taken up by plants and accumulated in food produce, and/or that could have negative effects on human health and the environment. This review presents and discusses the approaches developed to prioritize CECs when reclaimed water is (re-)used for irrigation. They are divided into quantitative methodologies, which estimate the risk for environmental compartments (soil and water), predators and humans through equations, and qualitative methodologies, which are instead conceptual frameworks or procedures based on the simultaneous combination of data/information/practices with the judgment of experts. Three antibiotics (erythromycin, sulfamethoxazole and ciprofloxacin), one estrogen (17-α ethinylestradiol) and one analgesic (ibuprofen) were found on at least two priority lists, although comparison among studies is still difficult. The review remarks that it is advisable to harmonize the different methodologies in order to identify the priority CECs to include in monitoring programs in reclaimed water reuse projects and to ensure a high level of protection for humans and the environment.
To prove the promotion of urban green to mitigate the regionally predetermined heat stress on the local urban scale, comprehensive numerical simulations using ENVI-met v5.0.2 were carried out in an E-W street canyon considering the representative urban structure in Jeju, Republic of Korea, on the heatwave day of August 15, 2020. The simulations consisted of 10 combinations of urban green infrastructure: street trees, grass, facade, and roof greening. Compared to the bare condition, combined green infrastructure led to the maximum reduction in mean air temperature (ATa) by 2.1 K, mean radiant temperature (ATmrt) to 25.3 K, and physiological equivalent temperature (APET) to 16.1 K. Street trees exhibited the greatest effect on the ATmrt and APET as a measure of human thermal comfort. The combination of various green infrastructures has a larger impact on ATmrt on the Sfacing sidewalk compared to the N-facing sidewalk, with a mean ATmrt of 21.2 K for the S-facing sidewalk and 8.0 K for the N-facing sidewalk. Green infrastructure brings about indoor ATa by 1.5 K at the N-bordering building. As relevant design guideline to reduce human heat stress in urban areas, the simulation results provide urban/landscape planners the quantitative effect of combinations of green infrastructure.
Mycotoxins are toxic fungal metabolites that may occur in crops. Mycotoxins may carry-over into bovine milk if bovines ingest mycotoxin-contaminated feed. Due to climate change, there may be a potential increase in the prevalence and concentration of mycotoxins in crops. However, the toxicity to humans and the carry-over rate of mycotoxins from feed to milk from bovines varies considerably. This research aimed to rank emerging and existing mycotoxins under different climate change scenarios based on their occurrence in milk and their toxicity to humans. The quantitative risk ranking took a probabilistic approach, using Monte-Carlo simulation to take account of input uncertainties and variabilities. Mycotoxins were ranked based on their hazard quotient, calculated using estimated daily intake and tolerable daily intake values. Four climate change scenarios were assessed, including an Irish baseline model in addition to best-case, worst-case, and most likely scenarios, corresponding to equivalent Intergovernmental Panel on Climate Change (IPCC) scenarios. This research prioritised aflatoxin B(1), zearalenone, and T-2 and HT-2 toxin as potential human health hazards for adults and children compared to other mycotoxins under all scenarios. Relatively lower risks were found to be associated with mycophenolic acid, enniatins, and deoxynivalenol. Overall, the carry-over rate of mycotoxins, the milk consumption, and the concentration of mycotoxins in silage, maize, and wheat were found to be the most sensitive parameters (positively correlated) of this probabilistic model. Though climate change may impact mycotoxin prevalence and concentration in crops, the carry-over rate notably affects the final concentration of mycotoxin in milk to a greater extent. The results obtained in this study facilitate the identification of risk reduction measures to limit mycotoxin contamination of dairy products, considering potential climate change influences.
The Asian tiger mosquito Aedes albopictus is currently spreading across Europe, facilitated by climate change and global transportation. It is a vector of arboviruses causing human diseases such as chikungunya, dengue hemorrhagic fever and Zika fever. For the majority of these diseases, no vaccines or therapeutics are available. Options for the control of Ae. albopictus are limited by European regulations introduced to protect biodiversity by restricting or phasing out the use of pesticides, genetically modified organisms (GMOs) or products of genome editing. Alternative solutions are thus urgently needed to avoid a future scenario in which Europe faces a choice between prioritizing human health or biodiversity when it comes to Aedes-vectored pathogens. To ensure regulatory compliance and public acceptance, these solutions should preferably not be based on chemicals or GMOs and must be cost-efficient and specific. The present review aims to synthesize available evidence on RNAi-based mosquito vector control and its potential for application in the European Union. The recent literature has identified some potential target sites in Ae. albopictus and formulations for delivery. However, we found little information concerning non-target effects on the environment or human health, on social aspects, regulatory frameworks, or on management perspectives. We propose optimal designs for RNAi-based vector control tools against Ae. albopictus (target product profiles), discuss their efficacy and reflect on potential risks to environmental health and the importance of societal aspects. The roadmap from design to application will provide readers with a comprehensive perspective on the application of emerging RNAi-based vector control tools for the suppression of Ae. albopictus populations with special focus on Europe.
Drawing on recent research on the intersections of race and atmosphere, this essay considers thermal sensation as a nonrepresentational sensory modality for staging atmospheric racial disparities. I begin with discussions of research on the physical, psychological, and affective consequences of heat exposure and scholarship on the disparities encoded in thermal landscapes-especially “urban heat islands” where Black and Brown communities are disproportionately exposed to extreme temperatures that exacerbate preexisting health vulnerabilities. I consider a range of literary and cultural works by Nella Larsen, Chester Himes, and Spike Lee that represent the physical and affective implications of thermal disparities, and conclude with an extended discussion of the nonrepresentational, embodied affordances of thermal sensation in Rashid Johnson’s restaging of LeRoi Jones’s Dutchman in a Manhattan sauna.What kinds of knowledge and affective involvement might be afforded by a direct, nonrepresentational aesthetics of thermoception? . . . How might an immersive aesthetics of thermoception sensitize audiences to the spatial and atmospheric dynamics of racialization?
Globally Ambrosia species (Asteraceae), commonly called ragweed, are recognized to be one of the most problematic groups of invasive weeds and one of the main allergenic genus. Climate and land-use change and air pollution are expected to promote ragweed spread, increase airborne ragweed pollen concentrations (the source of allergens), extend the pollen season, and promote longdistance transport of pollen or sub-pollen particles containing allergens. The allergenicity of pollen itself is going to increase. Likely, all these factors will have meaningful effects in the exacerbation of the sensitization to ragweed pollen and the severity of allergy symptoms. Globally the major health concern regards A. artemisiifolia, because of its very wide global distribution and highly invasive behavior. Together with A. artemisiifolia, also A. trifida and A. psilostachya are species of health concern distributed across different continents, widespread and invasive in several regions. The present review summarizes the characteristics of these species and gives an overview of factors contributing to their allergenicity.
Every government takes initiative for the well-being of their citizens in terms of environment and climate in which they live. Global warming is one of the reason for climate change. With the help of machine learning algorithms in the flash light of Artificial Intelligence and Data Mining techniques, weather predictions not only rainfall, lightings, thunder outbreaks, etc. can be predicted. Management of water reservoirs, flooding, traffic -control in smart cities, sewer system functioning and agricultural production are the hydro-meteorological factors that affect human life very drastically. Due to dynamic nature of atmosphere, existing Statistical techniques (Support Vector Machine (SVM), Decision Tree (DT) and logistic regression (LR)) fail to provide good accuracy for rainfall forecasting. Different weather features (Temperature, Relative Humidity, Dew Point, Solar Radiation and Precipitable Water Vapour) are extracted for rainfall prediction. In this research work, data analysis using machine learning ensemble algorithm like Adaptive Boosting (Ada Boost) is proposed. Dataset used for this classification application is taken from hydrological department, India from 1901-2015. Overall, proposed algorithm is feasible to be used in order to qualitatively predict rainfall with the help of R tool and Ada Boost algorithm. Accuracy rate and error false rates are compared with the existing Support Vector Machine (SVM) algorithm and the proposed one gives the better result.
This paper estimates the moderating effect of soil organic carbon content (a measure of soil health) on child health in response to rainfall shocks in a low-income country setting. Focusing on rural India, I leverage the Demographic and Health Survey data set and high-resolution spatial data on soil organic carbon content and meteorological variables. The results show that a high level of soil organic carbon significantly reduces the negative impact of rainfall shock on children’s weight-for-height z-scores, but not on height-for-age z-scores.
Environment-related anxiety is becoming an important and increasingly widespread emotional response to ecological crises. This phenomenon presents new challenges in terms of public health as it can lead to cognitive, emotional, and functional impairments in daily life. These impairments are measured by the Climate Change Anxiety Scale (Clayton & Karazsia, 2020), the only tool validated in French that assesses climate anxiety. However, eco-anxiety, which encompasses more than climate anxiety, may affect an individual’s inner life without causing pathological impairments in their daily life. Consequently, new tools for assessing eco-anxiety at a nonpathological level in French-speaking populations are required. The goal of this study was to translate and validate the Hogg Eco-Anxiety Scale (HEAS; Hogg et al., 2021) in French (HEAS-FR) and analyse its psychometric properties based on responses from 275 French-speaking adults. The HEAS is a self-report measure specifically designed to assess psychological responses to climate change and ecological issues. The confirmatory factor analysis confirmed the four-factor structure of the original English version. Cronbach’s alphas indicated fair-to-good internal consistency for all four HEAS-FR subscales. Its convergent validity was established by examining correlations with questionnaires assessing related constructs, including climate change anxiety, anxiety, stress, depression, and environmental identity. The results revealed globally moderate-to-strong positive correlations between the HEAS-FR subscales and all questionnaires, indicating good convergent validity. Therefore, HEAS-FR was found to be suitable for assessing the four dimensions of eco-anxiety proposed by Hogg et al. (2021) in French-speaking populations.
Water safety refers to the quality of one’s drinking water and whether it lacks dangerous contaminants. Limited access to safe water is projected to impact approximately 5 billion people worldwide by 2050. Climate change and worsening severe weather events pose increasing threats to global water safety. However, people may not perceive links between climate change and water safety, potentially undermining their willingness to implement behaviors that improve water safety. Existing studies on water safety risk perceptions have mostly been conducted in single-country contexts, which limits researchers’ ability to make cross-national comparisons. Here, we assessed the extent to which people’s severe weather concern and climate change concern predict their water safety concern. Our analyses used survey data from the 142-country 2019 Lloyd’s Register Foundation World Risk Poll, including 21 low-income and 34 lower-middle-income countries. In mixed-effects models, severe weather concern was significantly more predictive of water safety concern than was climate change concern, although both resulted in positive associations. Worldwide, this finding was robust, insensitive to key model specifications and countries’ varying protection against unsafe drinking water. We suggest communicators and policymakers improve messaging about water safety and other environmental threats by explaining how they are impacted by worsening severe weather.
Nutrition is sturdily and rapidly becoming the foremost determinant of health in today’s Sars-Cov-2 and climate change ravaged world. While safe food sustains life, contamination obliterates its values and could result in death and short to long term morbidity. The purpose of this scoping review is to explore food contamination in Ghana, between 2001-2022. Using Arksey and O’Malley’s procedure, a systematic literature search from PubMed, JSTOR, ScienceDirect, ProQuest, Scopus, Emeralds Insight, Google Scholar, and Google was carried out. Following the inclusion criteria, 40 published and grey literature were covered in this review. The review revealed the following: Studies on food contamination involving Greater Accra, Ashanti, Central, and Eastern Regions alone account for over 50% of the total number of such studies conducted in Ghana; regulators failed in enforcing regulations, monitoring and supervision; managers failed to provide adequate infrastructure and facilities. The most common food safety risks of public health concern are: i) micro-organisms (E. coli/faecal coliforms, Staphylococcus aureus, Salmonella spp, Bacillus cereus, and Viral hepatitis); ii) drugs (Amoxicillin, Chlortetracycline, Ciprofloxacin, Danofloxacin, and Doxycycline) and; iii) chemicals (Chlorpyrifos). Salad, vegetables, sliced mango, meat pie, and snail khebab are of high public health risks. The following deductions were made from the review: Highly contaminated food results in death, short to long term morbidity, economic loss, and threatens to displace Ghana’s efforts at achieving the Sustainable Development Goals (SDG) 2. Thus, Government must resource key regulatory bodies to enhance their operational capacity, regulators must foster collaboration in monitoring and supervision of food vendors, and managers of food service outlets must provide adequate facilities to engender food safety culture.
Extreme weather events are expected to increase due to climate change, which could pose an additional burden of morbidity and mortality. In recent decades, drought severity has increased in several regions around the world, affecting health by increasing the risk of water-, food-, and vector-borne diseases, malnutrition, cardiovascular and respiratory illness, mental health disorders, and mortality. Drought frequency and severity are expected to worsen across large regions as a result of a decrease in precipitation and an increase in temperature and atmospheric evaporative demand, posing a pressing challenge for public health. Variation in impacts among countries and communities is due to multiple factors, such as aging, socioeconomic status, access to health care, and gender, affecting population resilience. Integrative proactive action plans focused on risk management are required, and resources should be transferred to developing countries to reduce their vulnerability and risk.
Heat is a dangerous hazard that causes acute heat illness, chronic disease exacerbations, adverse pregnancy outcomes, and a range of injuries. Risks are highest during extreme heat events (EHEs), which challenge the capacity of health systems and other critical infrastructure. EHEs are becoming more frequent and severe, and climate change is driving an increasing proportion of heat-related mortality, necessitating more investment in health protection. Climate-resilient health systems are better positioned for EHEs, and EHE preparedness is a form of disaster risk reduction. Preparedness activities commonly take the form of heat action plans (HAPs), with many examples at various administrative scales. HAP activities can be divided into primary prevention, most important in the pre-event phase; secondary prevention, key to risk reduction early in an EHE;and tertiary prevention, important later in the event phase. After-action reports and other postevent evaluation activities are central to adaptive management of this climate-sensitive hazard.
Malaria remains a major public health burden to children under five, especially in Eastern Africa (E.A), -a region that is also witnessing the increasing occurrence of floods and extreme climate change. The present study, therefore, explored the trends in floods, as well as the association of their occurrence and duration with the malaria incidence in children < 5 years in five E.A partner countries of Forum for China-Africa Cooperation (FOCAC), including Ethiopia, Kenya, Somalia, Sudan, and Tanzania between 1990 and 2019. METHODS: A retrospective analysis of data retrieved from two global sources was performed: the Emergency Events Database (EM-DAT) and the Global Burden of Diseases Study (GBD) between 1990 and 2019. Using SPSS 20.0, a correlation was determined based on ρ= -1 to + 1, as well as the statistical significance of P = < 0.05. Time plots of trends in flooding and malaria incidence were generated in 3 different decades using R version 4.0. RESULTS: Between 1990 and 2019, the occurrence and duration of floods among the five E.A partner countries of FOCAC increased and showed an upward trend. On the contrary, however, this had an inverse and negative, as well as a weak correlation on the malaria incidence in children under five years. Only Kenya, among the five countries, showed a perfect negative correction of malaria incidence in children under five with flood occurrence (ρ = -0.586**, P-value = 0.001) and duration (ρ = -0.657**, P-value = < 0.0001). CONCLUSIONS: This study highlights the need for further research to comprehensively explore how different climate extreme events, which oftentimes complement floods, might be influencing the risk of malaria in children under five in five E.A malaria-endemic partner countries of FOCAC. Similarly, it ought to consider investigating the influence of other attributes apart from flood occurrence and duration, which also compound floods like displacement, malnutrition, and water, sanitation and hygiene on the risk and distribution of malaria and other climate-sensitive diseases.
Climate change is inseparably linked to human health. Although there is growing awareness of the threats to human health caused by climate change, it remains unclear how the German population perceives the relevance of climate change and its health consequences. Between May and September 2022, German residents were invited to participate in a cross-sectional online survey that explored three content areas: (1) the relevance of climate change, (2) health risks in connection with climate change and (3) collective and individual options for action against climate change. A total of 697 full data sets were collected for analysis (72% female, 51% ≥55 years old). The majority of participants agreed that human-induced climate change exists (85%), and that it has an impact on human health (83%). They also perceived the global population to be more strongly impacted by climate change than themselves (89% versus 68%). Most participants (76%) claimed to personally contribute to climate protection and 23% felt that their city or council contributed to climate protection. Although the majority of participants saw climate change as a threat to human health, they perceived other population groups to be most strongly affected. Cognitive dissonance might explain this lack of individual concern and one approach to addressing such distorted perceptions might be the dissemination of appropriate risk communication with health professionals involved in the communication.
Heat action plans should be urgently formulated to enable urban managers, planners, and designers to take appropriate actions for mitigation and adaptation. However, few studies have been conducted to investigate the societal needs and knowledge gaps regarding heat mitigation and adaptation. To address such research gaps, this paper presents an empirical study of 574 questionnaires in Chengdu, China, to explore heat-related impacts, public responses, and driving mechanisms. The results indicated that outdoor activities and work/study were more sensitive to extreme heat than transportation, sleep/rest, and diet. Heat-related impacts on physiological health were at the same level as those on psychological health, where digestive system illness and emotional irritability were the most prevalent physiological and psychological symptoms. Respondents’ knowledge of heat-related threats, adaptation awareness, and adaptation knowledge were insufficient, compared with heat severity. The payment willingness among the respondents was not strong and payment amount was not high. Poorer, healthier, and the less affected in outdoor activities were positive groups in payment willingness, while the group which experienced heat-related impacts on outdoor activities could pay more compared with other groups. Overall, these results help to shape the main contents of heat action plans.
One of the major climate threats is extreme heat events, as they pose significant risks to public health that are well documented in the epidemiologic literature. The effects of extreme heat events have been evident over the past years by several extreme heat events worldwide. With the growing concerns of future heat exposure, numerous studies in the literature have developed heat vulnerability indices based on determinants that have heat-related impacts. However, there has been limited guidance on heat vulnerability assessment that accounts for the impacts of the characteristics of the built environment and changes in population dynamics over time. This paper focuses on developing the methodology for heat vulnerability assessment in urban areas using System Dynamics (SD) based on integrating three levels of the physical urban environment: the urban level, the building level, and the human adaptive capacity to heat exposure. We examine the viability of using SD modeling as an approach to examine the key drivers in heat vulnerability assessment in urban areas. Thus, the paper assesses the dynamic relationship between heat vulnerability components, namely, Susceptibility, Exposure, Coping Capacity, and Adaptive Capacity, and their effect on increased or decreased vulnerability under extreme heat events. The paper concludes with an applied case study in Cairo, Egypt, to test the use of the SD approach in assessing heat vulnerability in urban settings. Results from the proposed SD model confirm the underlying hypothesis that vulnerability from heat exposure is dynamically linked to the coping and adaptive capacity of the surrounding built environment with the urban population’s socioeconomic characteristics. The main contribution of this approach is that it allows for parallel examination of the effect of the human system that simulation models cannot include and the performance of the built environment system that epidemic heat vulnerability studies cannot capture.
Many susceptible regions face significant climatic threats. This study proposes an extended framework by linking the Intergovernmental Panel on Climate Change Vulnerability Framework and Sustainable Livelihood Framework to assess the impacts of ecological indicators, household vulnerability, and climate change mitigation. A major ecological region of northwestern Pakistan with diverse geographical and climatic conditions was selected. In total, 24 adjacent rural communes were randomly selected, and 300 farm households were face-to-face interviewed based on a pretested questionnaire. The study findings reveal that the Charsadda District is more vulnerable to climate change, having the highest exposure level compared to the Mardan District and the district of Nowshera. Our findings also show that there are small differences in adaptive capacity, sensitivity, and adaptation measures, and sensitivity sources are relatively distinctive among these three districts, which directly and indirectly influence the perception of farmers. Based on the sensitivity analysis, the sensitivity of the Mardan District is the highest in terms of crop and livestock diseases, while the highest sensitivity in terms of water is assumed in the Charsadda District. In terms of adaptive capacity, the advantages and disadvantages varied greatly between the three targeted study districts; specifically, Nowshera had equitable adaptive capacity, Mardan leaned entirely on capital sources, and Charsadda depended solely on advantages in education level. Diverse efforts to address the risks of climate change should be proposed aptly by considering the climatic, socioeconomic, and geographical characteristics of each district.
Heatwaves are weather hazards that can influence societal and natural systems. Recently, heatwaves have increased in frequency, duration, and intensity, and this trend is projected to continue as a consequence of climate change. The study of heatwaves is hampered by the lack of a common definition, which limits comparability between studies. This applies in particular to the considered time scale for utilised metrics. Here, we study which durations of heatwaves are most impact-relevant for various types of impacts. For this purpose, we analyse societal metrics related to health (heat-related hospitalisations, mortality) and public attention (Google trends, news articles) in Germany. Country-averaged temperatures are calculated for the period of 2010-2019 and the warmest periods of all time scales between 1 and 90 days are selected. Then, we assess and compare the societal response during those periods to identify the heatwave durations with the most pronounced impacts. Note that these durations are based on average temperatures across the given time frame while individual days may be less warm. The results differ slightly between the considered societal metrics but indicate overall that heatwaves induce the strongest societal response at durations between 2 weeks and 2 months for Germany. Finally, we show that heatwave duration affects the societal response independent of, and additionally to, heatwave temperatures. This finding highlights the relevance of making informed choices on the considered time scale in heatwave analyses. The approach we introduce here can be extended to other societal indices, countries, and hazard types to reveal more meaningful definitions of climate extremes to guide future research on these events.
The recent global expansion of dengue has been facilitated by changes in urbanisation, mobility, and climate. In this work, we project future changes in dengue incidence and case burden to 2099 under the latest climate change scenarios. We fit a statistical model to province-level monthly dengue case counts from eight countries across Southeast Asia, one of the worst affected regions. We project that dengue incidence will peak this century before declining to lower levels with large variations between and within countries. Our findings reveal that northern Thailand and Cambodia will show the biggest decreases and equatorial areas will show the biggest increases. The impact of climate change will be counterbalanced by income growth, with population growth having the biggest influence on increasing burden. These findings can be used for formulating mitigation and adaptation interventions to reduce the immediate growing impact of dengue virus in the region.
BACKGROUND: The dual impacts of a warming climate and population ageing lead to an increasing kidney disease prevalence, highlighting the importance of quantifying the burden of kidney disease (BoKD) attributable to high temperature, yet studies on this subject are limited. The study aims to quantify the BoKD attributable to high temperatures in Australia across all states and territories, and project future BoKD under climatic, population and adaptation scenarios. METHODS: Data on disability-adjusted-life-years (DALYs) due to kidney disease, including years of life lost (YLL), and years lived with disability (YLD), were collected during 2003-2018 (baseline) across all states and territories in Australia. The temperature-response association was estimated using a meta-regression model. Future temperature projections were calculated using eight downscaled climate models to estimate changes in attributable BoKD centred around 2030s and 2050s, under two greenhouse gas emissions scenarios (RCP4.5 and RCP8.5), while considering changes in population size and age structure, and human adaptation to climate change. FINDINGS: Over the baseline (2003-2018), high-temperature contributed to 2.7% (Standard Deviation: 0.4%) of the observed BoKD in Australia. The future population attributable fraction and the attributable BoKD, projected using RCP4.5 and RCP8.5, showed a gradually increasing trend when assuming no human adaptation. Future projections were most strongly influenced by the population change, with the high temperature-related BoKD increasing by 18.4-67.4% compared to the baseline under constant population and by 100.2-291.2% when accounting for changes in population size and age structure. However, when human adaptation was adopted (from no to partial to full), the high temperature-related BoKD became smaller. INTERPRETATION: It is expected that increasing high temperature exposure will substantially contribute to higher BoKD across Australia, underscoring the urgent need for public health interventions to mitigate the negative health impacts of a warming climate on BoKD. FUNDING: Australian Research Council Discovery Program.
Advanced aging is expected to become a major social problem in China during the second half of the 21st century. Current projections of temperature-related mortality in the context of advanced aging are inadequate, and may underestimate the risks posed by global warming on people aged 90+ years. The present study addresses this issue in Nantong City, which was the city in China with the highest aging and advanced aging rates in the 2000, 2010, and 2020 population censuses. Based on 27 global climate models from the Coupled Model Intercomparison Project Phase 6 and statistical downscaling methods, the impacts of climate change and advanced aging on future temperature-related elderly mortality were explored. Our results indicate that global warming will continue to increase the proportion of people who die from non-optimal temperatures even without considering the impact of advanced aging. Moreover, a higher warming range led to a more significant increase in net-temperature-related mortality and advanced aging is likely to increase heat-related mortality and offset the decline in cold-related mortality. Our study demonstrates a “1 + 1 > 2” effect between advanced aging and climate change, under the four shared socioeconomic pathway climate change scenarios considered here. These findings contribute to a better understanding of the impact of climate change on elderly health and facilitate the development of more effective adaptive strategies for advanced aging societies.
Climate change and related events, such as rising temperatures and extreme weather, threaten population health and well-being. This study quantified the impact of climate change on temperature-related, cause-specific mortality while considering adaptations and future demographic changes in Lisbon Metropolitan Area, Portugal. A distributed lag non-linear model (DLNM) was applied to quantify the burden of temperature-related mortality during the present (or reference, 1986-2005) scenario and a future scenario (2046-2065). There was an increase of 0.33% in temperaturerelated excess mortality (95% CI: 0.02 to 0.59) and significantly lower all-cause deaths in the future. These measurements were attributable to extreme cold and considered an adaptation threshold of 1 degrees C with no population changes, resulting in an estimated net difference of -0.15% (95% CI: 0.26 to 0.02), a threshold of 1 degrees C with a high population scenario of -0.15% (95% CI: 0.26 to 0.01), and a threshold of 1 degrees C with a low population scenario of -0.15% (95% CI: 0.26 to 0.01). Moderate cold exposure under a threshold of 1 degrees C and a high population scenario reduced future temperature-related deaths and diabetes mellitus ( -1.32, 95% CI: 2.65 to 0.23). Similarly, moderate heat exposure under a threshold of 4 ffi C and a high population scenario had the highest increase in net changes (6.75, 95% CI: 5.06 to 15.32). The net difference in AF% was due to ischemic heart disease, which was the highest for moderate heat exposure with an adaptation threshold of 4 degrees C only. It decreased slightly with increasing adaptation levels. The most significant increase in net differences for temperature-related excess deaths occurred in respiratory diseases and was associated with heat. A significant decline in net differences was also observed in excess cold-related deaths due to respiratory disease. These findings contribute to the discussion of how climate change impacts human health. Furthermore, they can help guide and monitor adaptation policies in response to climate change.
Future climate change is likely to alter cold spell-related disease burden. Few projection studies have considered the potential impact of the aging population with changing population size on cold spell-related disease burdens. METHODS: We derived the association between cold spells and daily mortality for 272 main cities in mainland China. We combined these associations with modeled daily temperatures from three different climate models under two climate change scenarios and three population scenarios to project excess deaths related to cold spells. Furthermore, we used the factor separation method to calculate the independent contribution of future population size, age structure, and climate change on projected deaths attributable to cold spells. FINDINGS: Compared to the baseline period, future excess deaths related to cold spells are expected to increase over most of the decades under RCP 2.6 (81.5% in 2050 s and 37% in 2090 s) and RCP 4.5 (55.5% in 2050 s and -19% in 2090 s). The factor analysis indicated that the rise of the aged population (≥65) substantially would amplify the excess deaths related to cold spells (increase by 101.1% in the 2050 s and 146.2% in the 2090 s). For the near future (2021-2040), population aging could fully offset the influence of decreased cold-spell days. In the middle of this century (2051-2070), the total excess deaths will exhibit significant variation across three scenarios. By the end of 21 century (2081-2100), the population shrinking would reduce the total excess deaths. INTERPRETATION: Excess deaths related to cold spells may still increase in a warming climate and future demographic shifts would produce considerable influences in this increase for different periods.
OBJECTIVES: This study aimed to project future temperature-associated mortality risk and additional deaths among Taiwan’s elderly (aged >65 years) population. STUDY DESIGN: This study investigated retrospective temperature-mortality risk associations and future mortality projections. METHODS: A distributed lag non-linear model and random effect meta-analyses were employed to assess the risk of daily temperature-associated deaths in all-cause, circulatory, and respiratory diseases. Using the statistical downscaling temperature projections of the Representative Concentration Pathways (RCPs; i.e. RCP2.6, RCP6.0 and RCP8.5), future risk of mortalities were projected among the elderly for 2030-2039, 2060-2069 and 2090-2099, with a 30%, 40% and 50% expected increase in elderly population proportions, respectively. RESULTS: The baseline analysis from 2005 to 2018 identified that Taiwan’s population is more vulnerable to cold effects than heat, with the highest cold-related mortality risk being attributed to circulatory diseases, followed by all-cause and respiratory diseases. However, future projections suggest a declining trend in cold-related mortalities and a significant rise in heat-related mortalities under different RCP scenarios. Heat-attributable mortalities under the RCP8.5 scenario by 2090-2099 would account for almost 170,360, 36,557 and 29,386 additional annual deaths among the elderly due to all-cause, circulatory and respiratory diseases, respectively. Heat-attributable all-cause mortalities among the elderly would increase by 3%, 11% and 30% under RCP2.6, RCP6.0 and RCP8.5, respectively, by 2090-2099. CONCLUSIONS: The findings of this study provide predictions on future temperature-related mortality among the elderly in a developed, ageing society with a hot and humid climate. The results from this study can guide public health interventions and policies for climate change and ageing society-associated health risks.
An extreme rainstorm can cause thousands of landslides and kill hundreds of people. In the changing climate, fatal rainstorms become more frequent and intense. The current landslide emergency management evaluates hazard intensities but lacks key information on likely consequences. This study presents a novel prompt quantitative risk assessment method for rain-induced landslides. The proposed method automatically generates a one-page risk assessment report within minutes to support effective risk communication, resource allocation, and emergency response. The propagation of uncertainties is quantified in a scientific probabilistic framework. The proposed method is tested using 83 major rainstorms during 1995-2016 in Hong Kong. The method accurately predicts the number of affected buildings and the number of potential fatalities and identifies rainstorms that can trigger fatal landslides. The proposed method contributes to the advancement of landslide emergency management from hazard-informed to risk-informed, which will significantly enhance societal resilience and facilitate climate change adaptation.
The high incidence of mental illness worldwide is a substantial economic burden on society. Temperature and the occurrence of mental and behavioral disorders (MDs) seem to have a relationship, but this has not been widely researched. Therefore, this study aimed to investigate the effect of temperature on the hospitalization rate of patients with MDs in a temperate monsoon climate region of northern China. METHODS: Patients with MDs hospitalized in the Mental Health Center of Hebei Medical University and Psychology Department in The third Hospital of Shijiazhuang, China, from January 2014 to December 2019 were included in the study. The delayed exposure – response relationship between temperature and the number of hospitalized MDs patients was analyzed using a quasi-Poisson generalized additive model combined with a distributed lag nonlinear model. RESULTS: With the reference of 15.3°C (temperature with the minimum hospitalizations), the single lag effect of low temperature (-2°C, 10th percentile) increased the hospitalization of patients with MDs, while the cumulative effect decreased the risk of hospitalization for some MD subtypes; it was an acute protective effect. The single and cumulative lag effect of high temperature statistically increased the hospitalization rates of patients with MDs. The optimum temperature for each subtype was different, and the males and the younger age group were more susceptible to high temperatures. CONCLUSIONS: Low temperature has an acute protective effect on the hospitalization of patients with MDs. In comparison, high temperature increases hospitalization rates. Men and younger people are more affected by temperature, which provides early warning and health intervention measures for patients with corresponding temperature changes.
Although the UK has been relatively spared significant geophysical impacts of climate change, many people, youth in particular, are increasingly worried about climate change. The psychological distress associated with the (perceived) threat of climate change has been linked to poorer mental wellbeing but can also promote adaptive responses such as engagement in pro-environmental behaviour. In this mixed methods study, we delve deeper into the experience of ‘climate distress’ among UK residents aged 16-24 (N = 539). We conducted an online survey assessing general mental health, subjective wellbeing, and climate distress with existing scales. We also included novel questions assessing positive and negative life impacts of climate change, open-ended questions on aspirations and priorities for the future, and engagement in pro-environmental and climate actions. Our findings indicate that mental health factors may contribute to vulnerability to climate distress. Predictably, socio-psychological responses to climate change (i.e., frustration over inaction, lack of control, and shame or guilt about one’s own contributions) were linked to higher scores on the climate distress scale. Negatively appraised climate change-related events (i.e., seeing an environment they care about change for the worse) were associated with higher climate distress. Individuals with high climate distress (10.1% of our sample) reported worrying about the impact of climate change on their own future more frequently than any other topic surveyed (including personal finance, career, relationships, politics). Both positive (hope/interest) and negative (anger/frustration) emotions inspired action-taking, especially climate activism, which was negatively predicted by guilt/shame and sadness/fear. Private-sphere pro-environmental actions appeared less driven by strong emotions. Overall, our findings present a more nuanced picture of climate distress in terms of emotional responses, behaviour, and mental health. Longitudinal research is urgently needed to understand how distress may change over time, and the conditions that lead to adaptive and maladaptive outcomes.
Recent research has described concern and anxiety about climate change, especially among young people, but limited data are available looking at the responses of adolescents. Based on further analysis of an existing dataset that obtained survey responses from young people aged 16-25 in 10 different countries, this paper examines differences associated with gender and age, which are important predictors of vulnerability to the impacts of climate change. Gender differences were small but consistent, with female respondents expressing greater levels of concern and negative emotions, while male respondents were more optimistic and expressed greater faith in the government. Within this narrow age group, there were small but significant positive correlations showing that concern and negative emotions about climate change were higher among older respondents. There were complex differences among countries; in general, respondents in the Philippines, India, and Nigeria reported a stronger psychological impact of climate change than respondents in the United States and Finland. These results help to describe the extent and patterns of climate anxiety in multiple locations around the world in an age range that is relatively understudied.
BACKGROUND: In 2021, a once-in-a-century heavy rainstorm suddenly attacked Zhengzhou, an important inland city in northern China. However, there have been no studies on the psychological health of disaster-stricken residents. This study is the first to comprehensively report on the mental health status and related factors of local ordinary residents after the heavy rainstorm. OBJECTIVE: The purpose of this study is to investigate the mental health status and related influencing factors of local ordinary residents after the flood disaster, and to provide reference for government departments to formulate disaster psychological intervention countermeasures based on evidence-driven strategies. METHODS: The snowball sampling technique was used in this study, and measurement tools of Rainstorm Exposure Questionnaire, Subjective Perception of Rainstorm, Post-Traumatic Stress Disorder Checklist-Civilian version (PCL-C), Depression, Anxiety and Stress Scale-21 (DAS-21) and Chinese version of Social Support Rating Scale (SSRS) were used to evaluate the rainstorm exposure, subjective perception of the rainstorm, psychological symptoms and social support of the disaster-stricken residents within a week after the rainstorm. Logistic regression analysis was used to examine the psychological status and related factors of local residents after the rainstorm disaster. RESULTS: A total of 469 valid samples were obtained in this study. All the subjects were in the disaster area and experienced the rainstorm personally, with normal intelligence. The statistical results showed that 25.37% people had experienced at least three rainstorm-related stresses, nearly 20.26% people had post-traumatic stress disorder (PTSD) symptoms, and 39.3%, 53.92% and 65.83% people had depression, anxiety and stress symptoms, respectively. Multivariable logistic regression analyses indicated that female (all p < 0.05), the divorced, agricultural workers/farmers (all p < 0.05), students (all p < 0.05), people experiencing at least three rainstorm-related stresses (p < 0.05 or p < 0.01), people with lower satisfaction at the social flood fighting measures (p < 0.05 or p < 0.01) and people with low social support (p < 0.05 or p < 0.01) were all independent risk factors for poor psychological health, and college education or above (p < 0.05 or p < 0.01), the lower degree of worrying about themselves (all p < 0.01), family members (all p < 0.01) and family property (all p < 0.01) were all related to higher psychological health among flood survivors after the disaster. CONCLUSIONS: Rainstorm could cause local residents to have various degrees of psychological symptoms. This study identified factors associated with the psychological health of disaster-stricken residents, which could be used to develop psychological interventions in improving psychological health of local residents.
This study investigates adolescents’ climate change distress and climate denialism profiles with two cohorts (born in 2008 and 2006) using longitudinal data from two waves collected in 2020 and 2021 (N = 3,002). In addition, the explanatory similarity of the subgroups regarding general well-being and pro-environmental behavior was studied. Four profiles were identified. The largest group was named the normative-carefree group because they had low climate change distress and climate denialism. Another group named denialists also had low distress but higher denial. Both these groups were associated with relatively good well-being. The third group had elevated climate change-related emotional distress and low climate denial and was therefore named the emotionally involved group. They engaged in pro-environmental behavior the most. The last and the smallest group was called the overburdened because they had elevated distress accompanied by denial; belongingness to the group was related to low well-being. Estimated transition patterns showed that the profiles were unstable within a 1-year span. The results endorse that adolescents’ climate change distress is ongoing and developing all the time, rather than being something permanent. The results also show that both climate change distress and climate denialism can co-exist among adolescents.
This paper presents a bibliometric review of the history and evolution of Urban Heat Mitigation and Adaptation (UHMA) from 1989 to 2021 to identify its research progress, knowledge gaps, and future research directions. The results indicate that research on UHMA is booming and that the field has diver-sified over time. Existing studies have examined UHMA from the environmental, technical, health, eco-nomic, and social perspectives. Over time, UHMA has evolved into a transdisciplinary research field, covering many emerging areas beyond built environments, including materials, computer sciences, phys-iology, chemistry, and geosciences. Relevant UHMA topics can be divided into four research clusters: (i) UHI impact assessment and cause identification, (ii) microclimate regulation and human thermal com-fort, (iii) climate-related health impact and adaptation, and (iv) urban heat mitigation strategies and techniques. This study highlights some knowledge gaps in UHMA research, including (i) overfocusing on urban heat causes, effects, and mitigation solutions; (ii) more focus on mitigation, overshadowing adaptation, and preparation; (iii) highlighting materials and vegetation, but overlooking water features and urban form; (iv) incomplete understanding of heat-related impacts; (v) focusing more on microcli-mate and heat islands rather than extreme heat; (vi) unsound policy, social, and economic support; and (vii) lack of actual UHMA implementation. There are also some challenges in UHMA development, including (i) the uneven distribution of publications, authors, and affiliations; (ii) topic, affiliation, and nation aggregation and bias; (iii) slow evolution in key disciplines, publications, and authors; (iv) knowl-edge isolation owing to tendentious academic collaboration and communication; and (v) limited journal scope and restricted methodological approaches. To overcome such challenges and enhance UHMA research and policy, 13 suggestions were made. Overall, by promoting transdisciplinary UHMA research informed by climatic sciences, scientific models, policy-relevant techniques, and socio-economic support, this study is expected to better frame UHMA research and bridge science and policy.(c) 2023 Elsevier B.V. All rights reserved.
This study explores the response of the increased global warning levels (GWLs) on the spatio-temporal characteristics of extreme precipitation and temperature events over Central Africa (CA). For this purpose, eight indices proposed by the Expert Team on Climate Change Detection and Indices have been computed based on an ensemble-mean of simulations from the COnsortium for Small-scale MOdelling in CLimate Mode (CCLM) regional climate model, under the Representative Concentration Pathways scenario RCP8.5. The ability of CCLM to represent the climatology of considered daily hydroclimatic extreme indices related to both precipitation and temperature was also assessed. The results showed that despite the presence of some biases, the precipitation and temperature indices are satisfactorily represented by CCLM, with some notable improvements compared to the GCMs driving fields. The climate change signals under 1.5 degrees C GWL threshold show mostly increases (decreases) in SDII, CDD, R95PTOT, T10, T90, WSDI, and DTR (RR1) over CA throughout the year, and these effects intensify towards a warmer world. Singularly, the strongest changes in these extreme events are generally recorded during the JJA season over the northern part of CA. The results also show on one hand a widespread decrease in mean precipitation (up to 2 mm center dot day(-1) corresponding to similar to 50%) associated with the increase/decrease in CDD/RR1, and on the other hand an increase in mean temperatures (up to 4 degrees C corresponding to similar to 18%) associated with the increase in both lowest and highest temperatures (T10, T90). This study suggests that the CA region will be prone to droughts and floods as well as heat waves in a warmer world and calls for climate action and adaptation strategies to mitigate the risks associated with the above changes on rain-fed agriculture, water resource, and human health.
Thermal bioclimate is a defining factor of agricultural production, ecological condition, public health, and species distribution. This study aimed at assessing the possible changes in the Middle East and North African (MENA) thermal bioclimate for two shared socioeconomic pathways (SSPs), SSP1-1.9 and SSP1-2.6, representing a temperature rise restricted to 1.5 and 2.0 degrees C above the pre-industrial level at the end of the century. Therefore, the study explains the probable least change in bioclimate due to climate change and what might happen for a 0.5 degrees C temperature rise above the 1.5 degrees C addressed by Paris Climate Agreement. A multimodel ensemble of eight global climate models was employed for this purpose. The results indicated a 0.5 degrees C further increase in temperature above the 1.5 degrees C temperature rise threshold would cause a nearly 0.8 to 1.0 degrees C increase in temperature in some parts of MENA, indicating a faster than global average increase in temperature in the region for higher temperature rise scenarios. Climate change would cause a decrease in thermal seasonality by 2-6% over nearly 90% of the study area. The diurnal temperature would decrease by 0.1 to 0.4 degrees C over the entire south, while the annual temperature range would decrease by 0.5 to 1.5 degrees C over a large area in the north. This would cause a decrease in isothermality nearly by 1% over most areas. The area with decreasing isothermality would expand by almost 150% for a further temperature rise by 0.5 degrees C. The results indicate a substantial change in bioclimate in MENA for a minor temperature change.
This study investigates the impact of increased global warming on heat stress changes and the potential number of people exposed to heat risks over Africa. For this purpose a heat index has been computed based on an ensemble-mean of high-resolution regional climate model simulations from the Coordinated Output for Regional Evaluations embedded in the COordinated Regional Climate Downscaling EXperiment, under two Representative Concentration Pathways (RCPs) scenarios (RCP2.6 and RCP8.5), combined with projections of population growth developed based on the Shared Socioeconomic Pathways (SSPs) scenarios (SSP1 and SSP5). Results show that by the late 21st century, the increased global warming is expected to induce a 12-fold increase in the area extent affected by heat stress of high-risk level. This would result in an increase of about 10%-30% in the number of days with high-risk heat conditions, as well as about 6%-20% in their magnitude throughout the seasonal cycle over West, Central, and North-East Africa. Therefore, and because of the lack of adaptation and mitigation policies, the exacerbation of ambient heat conditions could contribute to the exposure of about 2-8.5 million person-events to heat stress of high-risk level over Burkina Faso, Ghana, Niger, and Nigeria. Furthermore, it was found that the interaction effect between the climate change and population growth seems to be the most dominant in explaining the total changes in exposure due to moderate and high heat-related risks over all subregions of the African continent.
BACKGROUND AND AIMS: A robust climate-health projection model has the potential to improve health care resource allocation. We aim to explore the relationship between Australian intensive care unit (ICU) demand and various measures of the long-lived large-scale climate and to develop a future nationwide climate-health projection model. METHODS: We investigated patients admitted to ICUs in Australia between January 2003 and December 2019 who were exposed to long-lived large-scale combined climatic measures of temperature and humidity. We analysed the projected demand for respiratory-related ICU average length of stay (in days) per capita (ICU(D/C)) with four historical and one future projection dataset. These datasets included: i) Australian and New Zealand Intensive Care Society adult patient database, ii) Socioeconomic Data and Applications Center gridded global historical population, iii) Australian Bureau of Statistics national historical population, iv) Japanese 55-year Reanalysis historical climate (JRA55), and v) the fifth Coupled Model Inter-comparison Project future climate projections. RESULTS: 148,638 patients with respiratory issues required intensive care between 2003 and 2019. The annual growth in the population density-weighted wet-bulb-globe temperature-a combined measure of temperature and humidity-is strongly correlated with the annual per capita growth ICU(D/C) for respiratory-related conditions (r=0.771; p<0.001). This relationship was applied to develop a model projecting future respiratory-related ICU demand with three possible future Representative Concentration Pathways (RCP). RCP2.6 (lowest carbon emission climate scenario) showed only a 33.4% increase in Australian ICU(D/C) demand by 2090, while the RCP8.5 (highest carbon emission climate scenario) demonstrated almost two-fold higher demand (66.1%) than RCP2.6 by 2090. CONCLUSIONS: The annual growth in population density-weighted wet-bulb-globe temperature correlates with the annual growth in Australian ICU(D/C) for respiratory-related conditions. A model based on possible future climate scenarios can be developed to predict changes in ICU demand in response to CO(2) changes over the coming decades.
Heatwaves have significant adverse effects on human health. The frequency, duration, and intensity of heatwaves are projected to increase dramatically, in the context of global warming. However, there are few comprehensive assessments of the health impact of heatwaves considering different definitions, and their characteristics under climate change scenarios. OBJECTIVE: We aimed to compare future excess mortality related to heatwaves among different definitions under climate change, population, and adaptation scenarios in China and further explore the mortality burden associated with heatwave characteristics. METHODS: Daily data during 2010-2019 were collected in Guangzhou, China. We adopted nine common heatwave definitions and applied quasi-Poisson models to estimate the effects of heatwaves and their characteristics’ impact on mortality. We then projected the excess mortality associated with heatwaves and their characteristics concerning climate change, population, and adaptation scenarios. RESULTS: The relative risks of the nine common heatwave definitions ranged from 1.05 (95% CI: 1.01, 1.10) to 1.24 (95% CI: 1.13, 1.35). Heatwave-related excess mortality will consistently increase in the future decades considering multiple heatwave definitions, with more rapidly increasing rates under the Shared Socioeconomic Path5-8.5 and non-adaptability scenarios. Regarding heatwave characteristics, the intensity is the main factor involved in the threat of heatwaves. The increasing trend of characteristic-related mortality burden is similar to that of heatwaves, and the mortality burden caused by the duration of the heatwaves was the largest among all characteristics. CONCLUSIONS: This study provides a comprehensive picture of the impact of heatwaves and their characteristics on public health under various climate change scenarios, population changes, and adaptive assumptions. The results may provide important public health implications for policymakers in planning climate change adaptation and mitigation policies, and implementing specific plans.
The devastating Coronavirus Disease 2019 (COVID-19) pandemic indicates that early detection of candidates with pandemic potential is vital. However, comprehensive metagenomic sequencing of the total microbiome is not practical due to the astronomical and rapidly evolving numbers and species of micro-organisms. Analysis of previous pandemics suggests that an increase in human-animal interactions, changes in animal and arthropod distribution due to climate change and deforestation, continuous mutations and interspecies jumping of RNA viruses, and frequent travels are important factors driving pandemic emergence. Besides measures mitigating these factors, surveillance at human-animal interfaces targeting animals with unusual tolerance to viral infections, sick heathcare workers, and workers at high biosafety level laboratories is crucial. Surveillance of sick travellers is important when alerted by an early warning system of a suspected outbreak due to unknown agents. These samples should be screened by multiplex nucleic acid amplification and subsequent unbiased next-generation sequencing. Novel viruses should be isolated in routine cell cultures, complemented by organoid cultures, and then tested in animal models for interspecies transmission potential. Potential agents are candidates for designing rapid diagnostics, therapeutics, and vaccines. For early detection of outbreaks, there are advantages in using event-based surveillance and artificial intelligence (AI), but high background noise and censorship are possible drawbacks. These systems are likely useful if they channel reliable information from frontline healthcare or veterinary workers and large international gatherings. Furthermore, sufficient regulation of high biosafety level laboratories, and stockpiling of broad spectrum antiviral drugs, vaccines, and personal protective equipment are indicated for pandemic preparedness.
BACKGROUND: Natural and human-made public health emergencies (PHEs), such as armed conflicts, floods, and disease outbreaks, influence health systems including interruption of delivery and utilization of health services, and increased health service needs. However, the intensity and types of impacts of these PHEs vary across countries due to several associated factors. This scoping review aimed to synthesise available evidence on PHEs, their preparedness, impacts, and responses. METHODS: We conducted a scoping review of published evidence. Studies were identified using search terms related to two concepts: health security and primary health care. We used Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews (PRISMA-ScR) guidelines to select studies. We adapted the review framework of Arksey and O’Malley. Data were analyzed using a thematic analysis approach and explained under three stages of PHEs: preparedness, impacts, and responses. RESULTS: A total of 64 studies were included in this review. Health systems of many low- and middle-income countries had inadequate preparedness to absorb the shocks of PHEs, limited surveillance, and monitoring of risks. Health systems have been overburdened with interrupted health services, increased need for health services, poor health resilience, and health inequities. Strategies of response to the impact of PHEs included integrated services such as public health and primary care, communication and partnership across sectors, use of digital tools, multisectoral coordination and actions, system approach to responses, multidisciplinary providers, and planning for resilient health systems. CONCLUSIONS: Public health emergencies have high impacts in countries with weak health systems, inadequate preparedness, and inadequate surveillance mechanisms. Better health system preparedness is required to absorb the impact, respond to the consequences, and adapt for future PHEs. Some potential response strategies could be ensuring need-based health services, monitoring and surveillance of post-emergency outbreaks, and multisectoral actions to engage sectors to address the collateral impacts of PHEs. Mitigation strategies for future PHEs could include risk assessment, disaster preparedness, and setting digital alarm systems for monitoring and surveillance.
Knowledge about the life cycle and survival mechanisms of leptospires in the environment is scarce, particularly regarding the environmental factors associated with their presence in ecosystems subject to livestock farming, where precipitation, seasonal floods, and river overflows could act as facilitators of leptospire dispersion. This study aimed to identify and study the presence of Leptospira spp. in the Lower Delta of the Paraná River and describe the physical, chemical, and hydrometeorological conditions associated with their presence in wetland ecosystems impaired by livestock raising intensification. Here, we show that the presence of Leptospira was determined mainly by water availability. We detected the species Leptospira kmetyi, L. mayottensis, and L. fainei and successfully cultured the saprophytic species L. meyeri from bottom sediment, suggesting the association of leptospires with microbial communities of the sediment’s biofilm to enhance its survival and persistence in aquatic environments and adapt to changing environmental conditions. Knowledge of Leptospira sp. diversity in wetlands and the impact of climate variability on the transmission of these organisms is crucial for predicting and preventing leptospirosis outbreaks in the context of human health. IMPORTANCE Wetlands are environments that are often conducive to the survival and transmission of Leptospira because they provide a suitable habitat for the bacteria and are often home to many animal species that can act as reservoirs for leptospirosis. Bringing humans and animals into closer contact with contaminated water and soil and increased frequency and intensity of extreme weather events may further exacerbate the risk of leptospirosis outbreaks, which is mostly relevant in the context of climate change and a widespread intensification of productive activities, particularly in the Lower Delta of the Paraná River. The detection of leptospiral species in wetland ecosystems impaired by livestock raising intensification can help to identify propitious environmental factors and potential sources of infection, develop preventive measures, and plan for appropriate responses to outbreaks, ultimately improving public health outcomes.
Heat stress can have negative effects on human wellbeing with morbidity and mortality as harmful consequences, especially in vulnerable groups, e.g. children, elderly and chronically ill. Children is for example at higher risk of dehydration and heat stroke compared to healthy adults. Furthermore, children attending preschools are endorsed to spend time outdoors and engaging in physical activities. Therefore, thermally comfortable preschool yards are detrimental to sustain safe environments where the children can continue their physically active play. Here we show that preschoolers in five Swedish cities, Malmo center dot, Gothenburg, Stockholm, center dot Ostersund and Lulea, are exposed to heat stress on warm and clear days between May-August in preschool yards with insufficient shading, using three different thermal indices (COMFA, PET and UTCI). Furthermore, future number of heat stress days are evaluated using the SMHI RCA4 regional climate model from the EURO-CORDEX project, forced with six different global climate models. Results show that heat stress will increase under the RCP2.6, 4.5 and 8.5 climate change scenarios. In Malmo center dot, Gothenburg and Stockholm number of days with heat stress all hours 09:00-15:00 while playing in a sunlit sandbox have doubled from approximately 10 to 20 days for 2071-2100 (RCP8.5) compared to 2008-2020. These numbers are even higher if active play, e.g. running, is per-formed, estimating to around two weeks in July alone by the end of the century. Without adaptation this is likely to have adverse effects on the health and learning of children. If the preschool yard, on the other hand, is shaded by trees, days with heat stress are almost entirely diminished, indicating the importance of trees in preschool yard design as a tool to mitigate heat stress.
In this article, we discuss pertinent cutaneous findings with which patients may present after travel to tropical destinations. We address arthropod-borne infectious diseases such as cutaneous leishmaniasis, Chagas disease, cutaneous larva migrans, and myiasis. We discuss other relevant diseases with cutaneous signs such as monkey pox and severe acute respiratory syndrome coronavirus 2. We provide clinicians with information regarding the background, diagnosis, treatment, and prevention of these tropical rashes. In addition, we address the impact that climate change will have on the temporal and geographic incidence of these rashes. Viral, fungal, and vector-borne diseases have seen a geographic expansion into more northern latitudes. Among these are tick-borne Lyme disease, aquatic snail-related seabather’s eruption, and atopic dermatitis. As these diseases spread, we believe that the updated information within this article is significant to the practicing physician in today’s warming world.
Forest fires release harmful pollutants, endangering public health and incurring substantial healthcare costs. This study empirically investigates the environment-health-economy relationship, utilizing a robust MM-QR approach. Findings divulge that economic growth, urbanization, and tourism drive healthcare expenditure, while environmental factors like forest fires, resource depletion, species extinction, and environmental policy stringency also increase health spending. Conversely, renewable energy consumption lowers healthcare costs, while coal extraction raises them. Empirical estimates reveal that 1%$$ 1% $$ increase in forest fires raises health spending by 0.03%-0.08%$$ 0.03%-0.08% $$, socioeconomic indicators by 0.01%-1.07%$$ 0.01%-1.07% $$, and environmental factors by 0.03%-3.74%$$ 0.03%-3.74% $$. Conversely, a 1%$$ 1% $$ rise in renewable energy usage cuts healthcare expenses by 0.06%-0.19%$$ 0.06%-0.19% $$. This study underscores the urgency of addressing environmental degradation, especially forest fires, to mitigate their impacts on human well-being.
BACKGROUND: Exposure to wildfire smoke has been linked with a range of health outcomes. However, to date, evidence is limited for the association between wildfire-specific PM(2.5), a primary emission of wildfire smoke, and adverse birth outcomes. OBJECTIVE: We aimed to estimate the risk and burden of preterm birth/term low birth weight, associated with maternal exposure to wildfire-specific PM(2.5). METHODS: A total of 330,884 birth records with maternal information were collected from the New South Wales Australia from 2015 to 2019, covering 523 residential communities. Daily wildfire-specific PM(2.5) at a 0.25° × 0.25° (≈ 25 km × 25 km) resolution was estimated by a machine learning method combining 3-D chemical transport model (GEOS-Chem) and reanalysis meteorological data. Cox proportional hazards models were implemented to evaluate the association between wildfire-specific PM(2.5) and preterm birth/term low birth weight. Number and fraction of preterm birth/term low birth weight attributable to wildfire-specific PM(2.5) during pregnancy were calculated. RESULTS: Per one interquartile-range rise in wildfire-specific PM(2.5) was found to be associated with 6.9% (HR: 1.069, 95% CI: 1.058-1.081) increased risk of preterm birth and 3.6% (HR: 1.036, 95% CI: 1.014-1.058) higher risk of term low birth weight. The most susceptible gestational window was the 2nd trimester for preterm birth whereas the 1st for term low birth weight. We estimated that 14.30% preterm births and 8.04% term low birth weight cases were attributable to maternal exposure to wildfire-specific PM(2.5) during the whole pregnancy. Male infants and mothers aged ≥ 40, experiencing temperature extremes or living in the inner region, and concepted during spring had higher risks of preterm birth/term low birth weight associated with wildfire-specific PM(2.5). Comparatively, mothers with advanced age have a higher risk of preterm birth while younger mothers were more likely to deliver term newborns with low birth weight, when being exposed to wildfire-specific PM(2.5). Pregnancy-induced hypertension enhanced the risk of preterm birth associated with wildfire-specific PM(2.5). CONCLUSIONS: This study strengthened robust evidence on the enhanced risk of preterm birth/term low birth weight associated with maternal exposure to wildfire-specific PM(2.5). In light of higher frequency and intensity of wildfire occurrences globally, more special attention should be paid to pregnant women by policy makers.
NEW FINDINGS: What is the topic of this review? Thermal extremes disproportionately affect populations with cardiovascular conditions. Preterm birth, across all gestational age ranges below 37 weeks, has been identified as a non-modifiable risk factor for cardiovascular disease. The hypothesis is presented that individuals born preterm are at an increased risk of cardiovascular morbidity and mortality during thermal extremes. What advances does it highlight? Cardiovascular stress tests performed in preterm-born populations, from infancy through adulthood, highlight a progression of cardiovascular dysfunction accelerating through adolescence and adulthood. This dysfunction has many similarities with populations known to be at risk in thermal extremes. ABSTRACT: Preterm-born individuals are a uniquely vulnerable population. Preterm exposure to the extrauterine environment and the (mal)adaptations that occur during the transitional period can result in alterations to their macro- and micro-physiological state. The physiological adaptations that increase survival in the short term may place those born preterm on a trajectory of lifelong dysfunction and later-life decompensation. Cardiovascular compensation in children and adolescents, which masks this trajectory of dysfunction, is overcome under stress, such that the functional cardiovascular capacity is reduced and recovery impaired following physiological stress. This has implications for their response to thermal stress. As the Anthropocene introduces greater changes in our environment, thermal extremes will impact vulnerable populations as yet unidentified in the climate change context. Here, we present the hypothesis that individuals born preterm are a vulnerable population at an increased risk of cardiovascular morbidity and mortality during thermal extremes.
AIMS: The climate emergency will likely prove this century’s greatest threat to public health within which mental health effects need consideration. While studies consistently show the majority of Australians are very concerned about the impacts of climate change, there is limited evidence from nation-wide research linking climate change with mental health burden in sub-populations. This study aimed to understand the impact of climate change on mental health in the Australian population and identify populations who are most at risk of climate-related mental health burden. METHODS: A nation-wide Australian survey conducted between August and November 2020 of adults was approximately representative across sex, age, location, state and area disadvantage. Two-stage recruitment involved unrestricted self-selected community sample through mainstream and social media (N = 4428) and purposeful sampling using an online panel (N = 1055). RESULTS: Most Australians report having a direct experience of a climate change-related event. Young people are experiencing significant rates of eco-anxiety. One in four people with direct experience of a climate change-related event met post-traumatic stress disorder screening criteria. People who have not had a direct experience are showing symptoms of pre-trauma, particularly in younger age groups and women. There were 9.37% (503/5370) of respondents with responses indicating significant eco-anxiety, 15.68% (370/2359) with pre-traumatic stress and 25.60% (727/2840) with post-traumatic stress disorder. Multivariable regressions confirmed that younger people are more affected by eco-anxiety and post-traumatic stress disorder (pre- or post-trauma); women are more affected by post-traumatic stress disorder (pre- or post-trauma) and those from more disadvantaged regions are more affected by eco-anxiety. CONCLUSION: Australia is facing a potential mental health crisis. Individuals with and without direct experience of climate change are reporting significant mental health impacts, with younger age groups being disproportionately affected. There are key roles for clinicians and other health professionals in responding to and preventing climate-related mental health burden.
Ixodes ricinus ticks are Scandinavia’s main vector for tick-borne encephalitis virus (TBEV), which infects many people annually. The aims of the present study were (i) to obtain information on the TBEV prevalence in host-seeking I. ricinus collected within the Øresund-Kattegat-Skagerrak (ØKS) region, which lies in southern Norway, southern Sweden and Denmark; (ii) to analyse whether there are potential spatial patterns in the TBEV prevalence; and (iii) to understand the relationship between TBEV prevalence and meteorological factors in southern Scandinavia. Tick nymphs were collected in 2016, in southern Scandinavia, and screened for TBEV, using pools of 10 nymphs, with RT real-time PCR, and positive samples were confirmed with pyrosequencing. Spatial autocorrelation and cluster analysis was performed with Global Moran’s I and SatScan to test for spatial patterns and potential local clusters of the TBEV pool prevalence at each of the 50 sites. A climatic analysis was made to correlate parameters such as minimum, mean and maximum temperature, relative humidity and saturation deficit with TBEV pool prevalence. The climatic data were acquired from the nearest meteorological stations for 2015 and 2016. This study confirms the presence of TBEV in 12 out of 30 locations in Denmark, where six were from Jutland, three from Zealand and two from Bornholm and Falster counties. In total, five out of nine sites were positive from southern Sweden. TBEV prevalence of 0.7%, 0.5% and 0.5%, in nymphs, was found at three sites along the Oslofjord (two sites) and northern Skåne region (one site), indicating a potential concern for public health. We report an overall estimated TBEV prevalence of 0.1% in questing I. ricinus nymphs in southern Scandinavia with a region-specific prevalence of 0.1% in Denmark, 0.2% in southern Sweden and 0.1% in southeastern Norway. No evidence of a spatial pattern or local clusters was found in the study region. We found a strong correlation between TBEV prevalence in ticks and relative humidity in Sweden and Norway, which might suggest that humidity has a role in maintaining TBEV prevalence in ticks. TBEV is an emerging tick-borne pathogen in southern Scandinavia, and we recommend further studies to understand the TBEV transmission potential with changing climate in Scandinavia.
Due to climate change, landscape fires account for an increasing proportion of air pollution emissions, and their impacts on primary and pharmaceutical care are little understood. OBJECTIVES: To evaluate associations between exposure in two early life periods to severe levels of PM(2.5) from a mine fire, background PM(2.5), and primary and pharmaceutical care. METHODS: We linked records of births, general practitioner (GP) presentations and prescription dispensing for children born in the Latrobe Valley, Australia, 2012-2014, where a severe mine fire occurred in February-March 2014 in an area with otherwise low levels of ambient PM(2.5). We assigned modelled exposure estimates for fire-related (cumulative over the fire and peak 24-hour average) and annual ambient PM(2.5) to residential address. Associations with GP presentations and dispensing of prescribed medications in the first two years of life (exposure in utero) and in the two years post-fire (exposure in infancy) were estimated using two-pollutant quasi-Poisson regression models. RESULTS: Exposure in utero to fire-related PM(2.5) was associated with an increase in systemic steroid dispensing (Cumulative: IRR = 1.11, 95%CI = 1.00-1.24 per 240 μg/m(3); Peak: IRR = 1.15, 95%CI = 1.00-1.32 per 45 μg/m(3)), while exposure in infancy was associated with antibiotic dispensing (Cumulative: IRR = 1.05, 95%CI = 1.00-1.09; Peak: IRR = 1.06, 95%CI = 1.00-1.12). Exposure in infancy to ambient PM(2.5), despite relatively low levels from a global perspective (Median = 6.1 μg/m(3)), was associated with an increase in antibiotics (IRR = 1.10, 95%CI = 1.01-1.19 per 1.4 μg/m(3)) and in GP presentations (IRR = 1.05, 95%CI = 1.00-1.11), independently from exposure to the fire. We also observed differences in associations between sexes with GP presentations (stronger in girls) and steroid skin cream dispensing (stronger in boys). DISCUSSION: Severe medium-term concentrations of PM(2.5) were linked with increased pharmaceutical treatment for infections, while chronic low levels were associated with increased prescriptions dispensed for infections and primary care usage. Our findings also indicated differences between sexes.
BACKGROUND: Evidence is needed to support local action to reduce the adverse health impacts of climate change and maximise the health co-benefits of climate action. Focused on England, the study identifies priority areas for research to inform local decision making. METHODS: Firstly, potential priority areas for research were identified from a brief review of UK policy documents, and feedback invited from public and policy stakeholders. This included a survey of Directors of Public Health (DsPH) in England, the local government officers responsible for public health. Secondly, rapid reviews of research evidence examined whether there was UK evidence relating to the priorities identified in the survey. RESULTS: The brief policy review pointed to the importance of evidence in two broad areas: (i) community engagement in local level action on the health impacts of climate change and (ii) the economic (cost) implications of such action. The DsPH survey (n = 57) confirmed these priorities. With respect to community engagement, public understanding of climate change’s health impacts and the public acceptability of local climate actions were identified as key evidence gaps. With respect to economic implications, the gaps related to evidence on the health and non-health-related costs and benefits of climate action and the short, medium and longer-term budgetary implications of such action, particularly with respect to investments in the built environment. Across both areas, the need for evidence relating to impacts across income groups was highlighted, a point also emphasised by the public involvement panel. The rapid reviews confirmed these evidence gaps (relating to public understanding, public acceptability, economic evaluation and social inequalities). In addition, public and policy stakeholders pointed to other barriers to action, including financial pressures, noting that better evidence is insufficient to enable effective local action. CONCLUSIONS: There is limited evidence to inform health-centred local action on climate change. More evidence is required on public perspectives on, and the economic dimensions of, local climate action. Investment in locally focused research is urgently needed if local governments are to develop and implement evidence-based policies to protect public health from climate change and maximise the health co-benefits of local action.
Climate change requires urgent action; however, it can be challenging to identify individual-level behaviours that should be prioritised for maximum impact. The study aimed to prioritise climate change mitigation behaviours according to their impacts on climate change and public health, and to identify associated barriers and facilitators-exploring the impact of observed behaviour shifts associated with COVID-19 in the UK. A three-round Delphi study and expert workshop were conducted: An expert panel rated mitigation behaviours impacted by COVID-19 in relation to their importance regarding health impacts and climate change mitigation using a five-point Likert scale. Consensus on the importance of target behaviours was determined by interquartile ranges. In total, seven target behaviours were prioritised: installing double/triple glazing; installing cavity wall insulation; installing solid wall insulation; moving away from meat/emission heavy diets; reducing the number of cars per household; walking shorter journeys; and reducing day/weekend leisure car journeys. Barriers related to the costs associated with performing behaviours and a lack of complementary policy-regulated subsidies. The target behaviours are consistent with recommendations from previous research. To ensure public uptake, interventions should address behavioural facilitators and barriers, dovetail climate change mitigation with health co-benefits and account for the long-term impacts of COVID-19 on these behaviours.
To date, there is no evidence that humanity will implement appropriate mitigation measures to avoid the catastrophic impact of climate change on the planet and human health. Vulnerable populations such as pregnant women and children will be the most affected. This review highlights epidemiologic data on climate change-related prenatal environmental exposures affecting the fetus and children’s respiratory health. RECENT FINDINGS: Research on outcomes of prenatal exposure to climate change-related environmental changes and pediatric pulmonary health is limited. In addition to adverse pregnancy outcomes known to affect lung development, changes in lung function, increased prevalence of wheezing, atopy, and respiratory infections have been associated with prenatal exposure to increased temperatures, air pollution, and maternal stress. The mechanisms behind these changes are ill-defined, although oxidative stress, impaired placental functioning, and epigenetic modifications have been observed. However, the long-term impact of these changes remains unknown. SUMMARY: The detrimental impact of the climate crisis on pediatric respiratory health begins before birth, highlighting the inherent vulnerability of pregnant women and children. Research and advocacy, along with mitigation and adaptation measures, must be implemented to protect pregnant women and children, the most affected but the least responsible for the climate crisis.
Anxiety about climate change is increasing. What are its predictors? In a cross-sectional survey of 323 North Americans, six possible predictors and their interrelations were investigated: climate change knowledge, prior experience with climate change impacts, generalized anxiety disorder symptoms, climate change worry, climate change risk perception, and media exposure to climate change information. A model of the connections among them was proposed. Most hypotheses about the model’s structure were supported, the model had a very good fit to the data, and it accounted for 54 percent of the variance in reported climate change anxiety. The results help to explicate who experiences climate change anxiety and suggest directions toward effective means of addressing climate-related mental health concerns. Some implications for theory and practice are offered.
Background The ticks Ixodes ricinus and Dermacentor reticulatus are two of the most important vectors in Europe. Climate niche modelling has been used in many studies to attempt to explain their distribution and to predict changes under a range of climate change scenarios. The aim of this study was to assess the ability of different climate niche modelling approaches to explain the known distribution of I. ricinus and D. reticulatus in Europe.Methods A series of climate niche models, using different combinations of input data, were constructed and assessed. Species occurrence records obtained from systematic literature searches and Global Biodiversity Information Facility data were thinned to different degrees to remove sampling spatial bias. Four sources of climate data were used: bioclimatic variables, WorldClim, TerraClimate and MODIS satellite-derived data. Eight different model training extents were examined and three modelling frameworks were used: maximum entropy, generalised additive models and random forest models. The results were validated through internal cross-validation, comparison with an external independent dataset and expert opinion.Results The performance metrics and predictive ability of the different modelling approaches varied significantly within and between each species. Different combinations were better able to define the distribution of each of the two species. However, no single approach was considered fully able to capture the known distribution of the species. When considering the mean of the performance metrics of internal and external validation, 24 models for I. ricinus and 11 models for D. reticulatus of the 96 constructed were considered adequate according to the following criteria: area under the receiver-operating characteristic curve > 0.7; true skill statistic > 0.4; Miller’s calibration slope 0.25 above or below 1; Boyce index > 0.9; omission rate < 0.15.Conclusions This comprehensive analysis suggests that there is no single 'best practice' climate modelling approach to account for the distribution of these tick species. This has important implications for attempts to predict climate-mediated impacts on future tick distribution. It is suggested here that climate variables alone are not sufficient; habitat type, host availability and anthropogenic impacts, not included in current modelling approaches, could contribute to determining tick presence or absence at the local or regional scale.
Climate change may influence the incidence of infectious diseases including those transmitted by ticks. Rhipicephalus sanguineus complex has a worldwide distribution and transmits Rickettsial infections that could cause high mortality rates if untreated. We assessed the potential effects of climate change on the distribution of R. sanguineus in the Americas in 2050 and 2070 using the general circulation model CanESM5 and two shared socioeconomic pathways (SSPs), SSP2-4.5 (moderate emissions) and SSP2-8.5 (high emissions). A total of 355 occurrence points of R. sanguineus and eight uncorrelated bioclimatic variables were entered into a maximum entropy algorithm (MaxEnt) to produce 50 replicates per scenario. The area under the curve (AUC) value for the consensus model (>0.90) and the partial ROC value (>1.28) indicated a high predictive capacity. The models showed that the geographic regions currently suitable for R. sanguineus will remain stable in the future, but also predicted increases in habitat suitability in the Western U.S., Venezuela, Brazil and Bolivia. Scenario 4.5 showed an increase in habitat suitability for R. sanguineus in tropical and subtropical regions in both 2050 and 2070. Habitat suitability is predicted to remain constant in moist broadleaf forests and deserts but is predicted to decrease in flooded grasslands and savannas. Using the high emissions SSP5-8.5 scenario, habitat suitability in tropical and subtropical coniferous forests and temperate grasslands, savannas, and shrublands was predicted to be constant in 2050. In 2070, however, habitat suitability was predicted to decrease in tropical and subtropical moist broadleaf forests and increase in tropical and subtropical dry broadleaf forests. Our findings suggest that the current and potential future geographic distributions can be used in evidence-based strategies in the design of control plans aimed at reducing the risk of exposure to zoonotic diseases transmitted by R. sanguineus.
In recent years, with the repeated occurrence of extreme weather and the continuous increase of air pollution, the incidence of weather-related diseases has increased yearly. Air pollution and extreme temperature threaten sensitive groups’ lives, among which air pollution is most closely related to respiratory diseases. Owing to the skewed attention, timely intervention is necessary to better predict and warn the occurrence of death from respiratory diseases. In this paper, according to the existing research, based on a number of environmental monitoring data, the regression model is established by integrating the machine learning methods XGBoost, support vector machine (SVM), and generalized additive model (GAM) model. The distributed lag nonlinear model (DLNM) is used to set the warning threshold to transform the data and establish the warning model. According to the DLNM model, the cumulative lag effect of meteorological factors is explored. There is a cumulative lag effect between air temperature and PM2.5, which reaches the maximum when the lag is 3 days and 5 days, respectively. If the low temperature and high environmental pollutants (PM2.5) continue to influence for a long time, the death risk of respiratory diseases will continue to rise, and the early warning model based on DLNM has better performance.
BACKGROUND: Oncomelania hupensis is the sole intermediate host of Schistosoma japonicum. Its emergence and recurrence pose a constant challenge to the elimination of schistosomiasis in China. It is important to accurately predict the snail distribution for schistosomiasis prevention and control. METHODS: Data describing the distribution of O. hupensis in 2016 was obtained from the Yunnan Institute of Endemic Disease Control and Prevention. Eight machine learning algorithms, including eXtreme Gradient Boosting (XGB), support vector machine (SVM), random forest (RF), generalized boosting model (GBM), neural network (NN), classification and regression trees (CART), k-nearest neighbors (KNN), and generalized additive model (GAM), were employed to explore the impacts of climatic, geographical, and socioeconomic variables on the distribution of suitable areas for O. hupensis. Predictions of the distribution of suitable areas for O. hupensis were made for various periods (2030s, 2050s, and 2070s) under different climate scenarios (SSP126, SSP245, SSP370, and SSP585). RESULTS: The RF model exhibited the best performance (AUC: 0.991, sensitivity: 0.982, specificity: 0.995, kappa: 0.942) and the CART model performed the worst (AUC: 0.884, sensitivity: 0.922, specificity: 0.943, kappa: 0.829). Based on the RF model, the top six important variables were as follows: Bio15 (precipitation seasonality) (33.6%), average annual precipitation (25.2%), Bio2 (mean diurnal temperature range) (21.7%), Bio19 (precipitation of the coldest quarter) (14.5%), population density (13.5%), and night light index (11.1%). The results demonstrated that the overall suitable habitats for O. hupensis were predominantly distributed in the schistosomiasis-endemic areas located in northwestern Yunnan Province under the current climate situation and were predicted to expand north- and westward due to climate change. CONCLUSIONS: This study showed that the prediction of the current distribution of O. hupensis corresponded well with the actual records. Furthermore, our study provided compelling evidence that the geographical distribution of snails was projected to expand toward the north and west of Yunnan Province in the coming decades, indicating that the distribution of snails is driven by climate factors. Our findings will be of great significance for formulating effective strategies for snail control.
Echinococcosis is a zoonotic parasitic infectious disease caused by human or domestic animals infected with Echinococcus granulosus. China is the country with the heaviest disease burden caused by Echinococcosis in the world. Therefore, it is feasible to evaluate the prevalence and distribution of echinococcosis using relevant ecological methods, combined with environmental factors and human activities. In this study, MaxEnt was used to predict the distribution range of E. granulosus in China under current and future climate scenarios and explain the impact of environmental variables on its distribution. The results showed that elevation (El), annual mean temperature (bio1), human footprint (Hf), annual precipitation (bio12), mean temperature of warmest quarter (bio10), and mean temperature of wettest quarter (bio8) were identified as the dominant environmental variables. In Tibet, the most suitable habitats (25.9 × 10(4) km(2)) of E. granulosus were distributed in Nyingchi and Qamdo in the east, Shigatse and Shannan in the south, and Ali in the west. In Sichuan, the most suitable habitat (18.83 × 10(4) km(2)) was located in Aba, Ganzi, and Liangshan. In Qinghai, the most suitable habitat (13.05 × 10(4) km(2)) mainly included Yushu in the southwest; Guoluo in the southeast; Haidong, Huangnan, Xining, and Hainan in the east; and Haixi in the west. In Gansu, the most suitable habitat (7.36 × 10(4) km(2)) was located in Gannan and Linxia in the southwest and Wuwei and Dingxi in the middle. In Yunnan, the most suitable habitat (1.53 × 10(4) km(2)) was distributed in Diqing in the northwest. Under future climate scenarios, the area of the most suitable habitat of E. granulosus showed an obvious expansion trend, with an increase of 44.64-70.76%. Trajectory trend of centroids showed that the most suitable habitat would move to the west in the future, and the increased areas were mainly located in the west of the current most suitable habitat. AUC values of the training data and test data were 0.936 ± 0.001 ~ 0.97 ± 0.006 and 0.912 ± 0.006 ~ 0.956 ± 0.015, respectively. The result can provide a theoretical basis for the prevention, monitoring, and early warning of echinococcosis in China.
Ross River virus (RRV) is the most common mosquito-borne infection in Australia. RRV disease is characterised by joint pain and lethargy, placing a substantial burden on individual patients, the healthcare system and economy. This burden is compounded by a lack of effective treatment or vaccine for the disease. The complex RRV disease ecology cycle includes a number of reservoirs and vectors that inhabit a range of environments and climates across Australia. Climate is known to influence humans, animals and the environment and has previously been shown to be useful to RRV prediction models. We developed a negative binomial regression model to predict monthly RRV case numbers and outbreaks in the Darling Downs region of Queensland, Australia. Human RRV notifications and climate data for the period July 2001 – June 2014 were used for model training. Model predictions were tested using data for July 2014 – June 2019. The final model was moderately effective at predicting RRV case numbers (Pearson’s r = 0.427) and RRV outbreaks (accuracy = 65%, sensitivity = 59%, specificity = 73%). Our findings show that readily available climate data can provide timely prediction of RRV outbreaks.
OBJECTIVE: From 2010 to 2022, the Victorian Department of Health operated a heat health alert system. We explored whether changes to morbidity occurred during or directly after these alerts, and how this differed for certain population groups. METHODS: We used a space-time-stratified case-crossover design and conditional logistic regression to examine the associations between heat health alerts and heat-related and all-cause emergency department (ED) presentations and hospital admissions at the state-wide level, with models created for the whole population and subgroups. Data were included for the warm season (November-March) from 2014 to 2021. RESULTS: Increases occurred in heat-related ED presentations (OR 1.73, 95% CI: 1.53-1.96) and heat-related hospital admissions (OR 1.23, 95% CI: 1.16-1.30) on days on or after heat health alerts. Effect sizes were largest for those 65 years and older, Aboriginal and Torres Strait Islander people, and those living in the most disadvantaged areas. CONCLUSIONS: We confirm that increases in morbidity occurred in Victoria during heat health alerts and describe which population groups are more likely to require healthcare in a hospital. IMPLICATIONS FOR PUBLIC HEALTH: These findings can inform responses before and during periods of extreme heat, data-driven adaptation strategies, and the development of heat health surveillance systems.
Relatively little attention has been paid to the potential effects of rising temperatures on changes in human behavior that lead to health and social consequences, including aggression. This study investigated the association between ambient temperature and aggression using assault death data from Seoul, South Korea (1991-2020). Methods: We conducted a time-stratified case-crossover analysis based on conditional logistic regression to control for relevant covariates. The exposure-response curve was explored, and stratified analyses were conducted by season and sociodemographic characteristics. Results: The overall risk of assault deaths significantly increased by 1.4% per 1°C increase in ambient temperature. A positive curvilinear relationship was observed between ambient temperature and assault deaths, which flattened out at 23.6°C during the warm season. Furthermore, risk increases were higher in males, teenagers, and those with the least education. Conclusion: This study highlighted the importance of understanding the impact of rising temperatures on aggression in the context of climate change and public health.
Heat waves have a catastrophic impact on ecosystems, economy, society and human health. Revealing the underlying physical drivers of heat waves is essential for improving extreme event forecasts and disaster prevention capabilities under climate change. Thus, this study provides an analysis of the maximum temperature, and heat wave frequency and duration during July-August in China from 1961 to 2022. Significant upward trends of different heat wave indexes were observed and broke the historical record in 2022. The influence of large-scale circulation on heat waves illustrates that the eastward South Asia High (SAH) and anomalously westward Western Pacific Subtropical High (WPSH) are closely associated with increased heat wave events, especially in 2022. We further demonstrate using reanalysis data that the Barents Sea ice shrinkage is associated with increased heat waves in China by modulating favourable atmospheric circulations. In addition, the North Atlantic Oscillation (NAO), which is closely linked to Arctic Sea ice, can provoke large-scale Rossby waves, which in turn can cause extreme heat events in China. In particular, the reduced sea ice coupled with NAO strengthens the anomalous eastward SAH and anomalous westward WPSH of their position and intensity especially in 2022 and provides favourable atmospheric circulation patterns for the occurrence of heat waves.
This study aimed to examine the same-sex matching effect of posttraumatic stress disorder (PTSD) symptoms from parents to children and the mediating role of children’ sense of security and catastrophization. Longitudinal data from 447 parent-child dyads were acquired using self-report scales. Parents (77.0% mothers; M(age) = 40.15 years old) reported their PTSD symptoms 3 months after Super Typhoon Lekima, and children (55.9% girls; M(age) = 13.40 years old) reported their PTSD symptoms, sense of security, and catastrophization 3 months and 15 months after the typhoon. Results showed that intrusion in mothers predicated intrusion, avoidance, and hyperarousal symptoms in daughters, while avoidance and hyperarousal in mothers predicted the same symptoms in daughters. This was not observed in any other parent-child dyads. Moreover, mothers’ intrusion positively predicted daughters’ PTSD symptoms via daughters’ sense of security and then catastrophization, while mothers’ hyperarousal showed the opposite prediction. These findings suggest that a same-sex matching effect occurs from mothers to daughters in terms of intrusion, avoidance, and hyperarousal symptoms of PTSD. Thus, clinical interventions that target daughters’ PTSD symptoms should also consider mothers’ intrusion and avoidance symptoms. Moreover, it may be possible to develop interventions to improve daughters’ sense of security.
Water is one of the most important resources for human life and health. Global climate change, industrialization and urbanization pose serious dangers to existing water resources. Water quality has traditionally been predicted by expensive, time-consuming laboratory and statistical analysis. However, machine learning algorithms can be applied to determine the water quality index in real time efficiently and quickly. With this motivation, a dataset obtained from the Kaggle website was used to classify water quality in this research. Some features were found to be empty in the data set. Traditional methods (drop, mean imputation) and regression method were applied for null values. After the null values were completed, RF, Adaboost and XGBoost were applied for binary classification. Gridsearch and Randomsearch methods have been applied in hyper parameter optimization. Among all the algorithms used, the SXH hybrid method created with the Support Vector Regression (SVR) and XGBoost methods showed the best classification performance with 99.4% accuracy and F1-score. Comparison of our results with previous similar studies showed that our SVR XGboost Hybrid (SXH) model had the best performance ratio (Accuracy, F1-score). The performance of our proposed model is proof that hybrid machine learning methods can provide an innovative perspective on potable water quality.
The mopane worm (Gonimbrasia belina) is an edible insect distributed across southern Africa. As a culturally important source of food, the mopane worm provides nutrition, livelihoods and improves wellbeing for rural communities across its range. However, this is strong evidence that insect populations are declining worldwide, and climate change is likely to cause many insect species to shift in their distributions. For these reasons, we aimed to model how the ecosystem service benefits of the mopane worm are likely to change in the coming decades. We modelled the distribution of the mopane worm under two contrasting climate change scenarios (RCPs 4.5 and 8.5). Moreover, given that the mopane worm shows strong interactions with other species, particularly trees, we incorporated biotic interactions in our models using a Bayesian network. Our models project significant contraction across the species’ range, with up to 70% decline in habitat by the 2080s. Botswana and Zimbabwe are predicted to be the most severely impacted countries, with almost all habitat in Botswana and Zimbabwe modelled to be lost by the 2080s. Decline of mopane worm habitat would likely have negative implications for the health of people in rural communities due to loss of an important source of protein as well as household income provided by their harvest. Biogeographic shifts therefore have potential to exacerbate food insecurity, socio-economic inequalities, and gender imbalance (women are the main harvesters), with cascading effects that most negatively impact poor rural communities dependent on natural resources.
Lake water has been impaired with nutrients due to the synergic action of human-made activities and climate change. This situation is increasing eutrophication around the globe faster than before, causing water degradation, loss of its uses, and water-associated economic and health effects. Following the Sustainable Development Goal 6, more precisely its target 6.6, nations are already behind schedule in protecting and restoring water-related ecosystems (i.e., rivers and lakes). As concerns with eutrophication are escalating, eutrophic water remediation practices are the keys for restoring those lake waters. Diverse methodologies have been investigated focusing on the nutrient that limit primary productivity (i.e., phosphorus), but few have been applied to in-lake eutrophic water remediation. Thus, the objective of this paper is to provide an overview and critical comments on approaches and practices for facing eutrophic lake water remediation. Information on the successful cases and possible challenges/difficulties in the peer-reviewed literature are presented. This should be useful for supporting further remediation project selection by the stakeholders involved. In summary, for a successful and durable restoration project, external nutrient inputs need to be managed, followed by holistic and region-specific methods to attenuate internal legacy nutrients that are continually released into the water column from the sediment. When aligned well with stakeholder participation and continuous monitoring, these tools are the keys to long-lasting water restoration.
Even with the advent of climate change, mainstream environmentalism lacks a robust death ethics, that is, ethical theories and practices for attending directly to what is owed to the unjustly dead and dying. This article draws on Indigenous, Afrofuturist, and fem-inist science fiction narratives and their correlating lived practices to explore how death ethics for those driven extinct by climate change and other environmental injustices can and ought to go beyond affect, symbolism, and abstraction. It puts forward environmental palliation as an alternative framework for grappling with the injustice of extinction as and in publics. Far from a glorified form of euthanasia, palliation is an ethic and a practice geared toward provid-ing good or better deaths for particular entities under specific conditions of injustice. In death, palliation cedes to remembrance, an ethic and practice for keeping the dead alive in memory so that they can be cared for. When done right, these death ethics are inextricably linked with climate justice for the living and those yet-to-be.
With rising global temperatures, heat-related mortality is increasing, particularly among older adults. Although this is often attributed to declines in thermoregulatory function, little is known regarding the effect of age on the cellular processes associated with mitigating heat-induced cytotoxicity. We compared key components of the cellular stress response in 19 young (19-31 yr; 10 female) and 37 older adults (61-78 yr; 10 female) during 9 h of heat exposure (40°C, 9% relative humidity). Mean body temperature (T(body)) was calculated from core and skin temperatures. Changes in proteins associated with autophagy, apoptotic signaling, acute inflammation, and the heat shock response were assessed via Western blot in peripheral blood mononuclear cells harvested before and after exposure. T(body) increased by 1.5 (SD 0.3)°C and 1.7 (0.3)°C in the young and older adults, respectively. We observed similar elevations in autophagy-related proteins (LC3-II and LC3-II/I) in young and older adults (both P ≥ 0.121). However, the older adults displayed signs of autophagic dysfunction, evidenced by a 3.7-fold [95% CI: 2.4, 5.6] greater elevation in the selective autophagy receptor p62 (P < 0.001). This was paired with elevations in apoptotic responses, with a 1.7-fold [1.3, 2.3] increase in cleaved caspase-3 in the older relative to young adults (P < 0.001). Older adults also exhibited diminished heat shock protein 90 responses (0.7-fold [0.5, 0.9] vs. young, P = 0.011) and, at any given level of thermal strain (T(body) area under the curve), elevated tumor necrosis factor-α (1.5-fold [1.0, 2.5] vs. young, P = 0.008). Attenuated autophagic responses may underlie greater vulnerability to heat-induced cellular injury in older adults.NEW & NOTEWORTHY We demonstrate for the first time that peripheral blood mononuclear cells from older adults exhibit signs of autophagic impairments during daylong (9 h) heat exposure relative to their younger counterparts. This was paired with greater apoptotic signaling and inflammatory responses, and an inability to stimulate components of the heat shock response. Thus, autophagic dysregulation during prolonged heat exposure may contribute to age-related heat vulnerability during hot weather and heat waves.
Wildland firefighters (WLFFs) are inserted as the front-line defense to minimize loss of natural resources, property, and human life when fires erupt in forested regions of the world. The WLFF occupation is physically demanding as exemplified by total daily energy expenditures that can exceed 25 MJ/day (6000 calories). WLFFs must also cope with complex physical and environmental situations (i.e., heat, altitude, smoke, compromised sleep, elevated stress) which challenge thermoregulatory responses, impair recovery, and increase short- and long-term injury/health risks while presenting logistical obstacles to nutrient and fluid replenishment. The occupation also imposes emotional strain on both the firefighter and their families. The long-term implications of wildfire management and suppression on the physical and mental health of WLFFs are significant, as the frequency and intensity of wildland fire outbreaks as well as the duration of the fire season is lengthening and expected to continue to expand over the next three decades. This article details the physical demands and emerging health concerns facing WLFFs, in addition to the challenges that the U.S. Forest Service and other international agencies must address to protect the health and performance of WLFFs and their ability to endure the strain of an increasingly dangerous work environment. © 2023 American Physiological Society. Compr Physiol 13:4587-4615, 2023.
Human activities have induced unprecedented global shifts in natural systems including the climate, the oceans, cryosphere and biosphere. The impacts of these changes on physical health are clear and are accelerating at an alarming rate. Climate change and its consequences, especially disruptive events like floods, droughts and heat waves also impact the mental health of affected populations, increasing risk for post-traumatic stress, depression and anxiety disorders. However, the impact of climate change on mental health is not well examined and has received less attention than climate’s impacts on physical health. GOAL: The paper examines the planetary health-mental health nexus. It assesses the existing state of knowledge on the association between climate events, natural disasters, pollution, access to green space and mental health. It also presents a global analysis of the economic costs of climate-related mental health disorders by developing scenarios estimating the costs of mental illness at the country level predicted to be attributable to changes in environmental factors during the period 2020-2050. FINDINGS: Globally, the additional societal costs of mental disorders due to changes in climate-related hazards, air pollution and inadequate access to green space are estimated to be almost US$47 billion annually in 2030. These estimated costs will continue to grow exponentially to US$537 billion in 2050, relative to a baseline scenario in which these environmental factors remain at 2020 levels. CONCLUSIONS: Our scenario analysis shows that the costs associated with climate-related mental health morbidity and mortality are high already and continue to will increase sharply in coming decades. There is need therefore to strengthen the evidence linking climate change to mental health and to prioritize the development of evidence-based and impactful interventions to address the global burden of environment-related mental disorders.
BACKGROUND: The doctors of the future need to be empowered to deliver healthcare sustainably while protecting their patients’ health in the context of a degrading environment. This study aimed to objectively review the extent and nature of the teaching of planetary health and sustainability topics in UK medical education. METHODS: A multi-centre national review of the timetabled teaching sessions in medical courses in the UK during the academic year 2020/2021 against the General Medical Council’s adopted ‘Educating for Sustainable Healthcare – Priority Learning Outcomes’. Medical students were recruited and reviewed the entirety of their own institution’s online teaching materials associated with core teaching sessions using a standardised data collection tool. Learning outcome coverage and estimated teaching time were calculated and used to rank participating medical schools. RESULTS: 45% of eligible UK medical schools were included in the study. The extent of teaching varied considerably amongst courses. Mean coverage of the 13 learning outcomes was 9.9 (SD:2.5) with a mean estimated teaching time of 140 min (SD:139). Courses with dedicated planetary health and sustainability sessions ranked best. CONCLUSION: There is large disparity in the education that medical students receive on these topics. Teaching may not adequately prioritise sustainability or reflect advances in planetary health knowledge.[Box: see text].
In freshwaters, microbial communities are of outstanding importance both from ecological and public health perspectives, however, they are threatened by the impact of global warming. To reveal how different prokaryotic communities in a large temperate river respond to environment conditions related to climate change, the present study provides the first detailed insight into the composition and spatial and year-round temporal variations of planktonic and epilithic prokaryotic community. Microbial diversity was studied using high-throughput next generation amplicon sequencing. Sampling was carried out monthly in the midstream and the littoral zone of the Danube, upstream and downstream from a large urban area. Result demonstrated that river habitats predominantly determine the taxonomic composition of the microbiota; diverse and well-differentiated microbial communities developed in water and epilithon, with higher variance in the latter. The composition of bacterioplankton clearly followed the prolongation of the summer resulting from climate change, while the epilithon community was less responsive. Rising water temperatures was associated with increased abundances of many taxa (such as phylum Actinobacteria, class Gammaproteobacteria and orders Synechococcales, Alteromonadales, Chitinophagales, Pseudomonadales, Rhizobiales and Xanthomonadales), and the composition of the microbiota also reflected changes of several further environmental factors (such as turbidity, TOC, electric conductivity, pH and the concentration of phosphate, sulphate, nitrate, total nitrogen and the dissolved oxygen). The results indicate that shift in microbial community responding to changing environment may be of crucial importance in the decomposition of organic compounds (including pollutants and xenobiotics), the transformation and accumulation of heavy metals and the occurrence of pathogens or antimicrobial resistant organisms.
Climate change is contributing to the magnitude, frequency and location of natural hazards, including landslides and landslide-triggered tsunamis. As the costs of protecting against a given risk increase, relocation may become the only feasible option despite the socio-economic, human security and cultural consequences. The relocation of people represents one of the most complex governance challenges generated by climate change. This article contributes to the literature by presenting insights and lessons from two case studies of unprecedented landslide-triggered tsunami risk in recently deglaciated areas that have not previously been described in the relocation literature: the unstable Svinafellsheioi slopes in south-east Iceland, and Karrat and Uummannaq Fjords in north-west Greenland. Our results draw attention to the need for planned relocation to be conducted in-line with international best practices, including those relating to the active involvement of affected people in decision-making, ensuring adequate compensation, and clarifying relocation planning schedules. This has occurred against a backdrop of colonial power dynamics, urbanisation trends, and the rise of tourism in these locations. Based on the findings, we recommend that the role of government pivot from determining risk management and relocation options, to providing a structure to underpin and support community agency.
Pollen grains are among the main causes of respiratory allergies worldwide and hence they are routinely monitored in urban environments. However, their sources can be located farther, outside cities’ borders. So, the fundamental question remains as to how frequent longer-range pollen transport incidents are and if they may actually comprise high-risk allergy cases. The aim was to study the pollen exposure on a high-altitude location where only scarce vegetation exists, by biomonitoring airborne pollen and symptoms of grass pollen allergic individuals, locally. The research was carried out in 2016 in the alpine research station UFS, located at 2650 m height, on the Zugspitze Mountain in Bavaria, Germany. Airborne pollen was monitored by use of portable Hirst-type volumetric traps. As a case study, grass pollen-allergic human volunteers were registering their symptoms daily during the peak of the grass pollen season in 2016, during a 2-week stay on Zugspitze, 13-24 June. The possible origin of some pollen types was identified using back trajectory model HYSPLIT for 27 air mass backward trajectories up to 24 h. We found that episodes of high aeroallergen concentrations may occur even at such a high-altitude location. More than 1000 pollen grains m(-3) of air were measured on the UFS within only 4 days. It was confirmed that the locally detected bioaerosols originated from at least Switzerland, and up to northwest France, even eastern American Continent, because of frequent long-distance transport. Such far-transported pollen may explain the observed allergic symptoms in sensitized individuals at a remarkable rate of 87 % during the study period. Long-distance transport of aeroallergens can cause allergic symptoms in sensitized individuals, as evidenced in a sparse-vegetation, low-exposure, ‘low-risk’ alpine environment. We strongly suggest that we need cross-border pollen monitoring to investigate long-distance pollen transport, as its occurrence seems both frequent and clinically relevant.
Allergic rhinitis (AR) is a highly prevalent respiratory condition that carries a heavy burden and can have a significant impact on patient quality of life. AR is caused by seasonal or perennial exposure to outdoor pollens and molds as well as indoor allergic triggers. In this review article, we discuss the factors associated with the development of AR throughout the year and the fact that patients with AR need continuous treatment rather than seasonal treatment. Conventionally, AR has been mainly categorized into seasonal AR and perennial AR, but these classes do not seem to be well-adapted. Climate changes, temperature changes, and high carbon dioxide (CO(2)) concentration affect the growth of plants and increase the length of pollen seasons and pollen allergenicity. Air pollution aggravates allergic sensitization symptoms in AR sensitized individuals. Due to increased air pollution and indefinite pollen seasons AR symptoms are present throughout the year. Patients with AR often need continuous treatment, which should be considered while making the strategy for treating allergic rhinitis sufferers. Management of AR involves avoiding the allergen, medications for symptomatic relief, anti-inflammatory therapies, and allergy immunotherapy. Although the first-generation H(1)-antihistamines reduce AR symptoms, they cause sedation and impair cognitive functions; thus, second-generation antihistamines (ie, levocetirizine, loratadine, bilastine, fexofenadine) are preferred. The efficacy and safety of fexofenadine for the treatment of seasonal allergic rhinitis (SAR) symptoms have been demonstrated by numerous clinical studies, irrespective of the season and underlying allergen. In this review, we discuss the allergic rhinitis classification, the role of climate change, air pollution, and factors contributing to year-round symptoms in patients with AR and the need for continuous pharmacological treatment for management.
In recent years, evidence of the synergistic effects of pollen and viruses on respiratory health has begun to accumulate. Pollen exposure is a known risk factor for the incidence and severity of respiratory viral infections. However, recent evidence suggests that pollen exposure may also inhibit or weaken viral infections. A comprehensive summary has not been made and a consensus on the synergistic health effects has not been reached. It is highly possible that climate change will increase the significance of pollen exposure as a cause of respiratory problems and, at the same time, affect the risk of infectious disease outbreaks. It is important to accurately assess how these two factors affect human health separately and concurrently. In this review article, for the first time, the data from previous studies are combined and reviewed and potential research gaps concerning the synergistic effects of pollen and viral exposure are identified.
The ability of food systems to feed the world’s population will continue to be constrained in the face of global warming and other global challenges. Often missing from the literature on future food security are different scenarios of population growth. Also, most climate models use given population projections and consider neither major increases in mortality nor rapid declines in fertility. In this paper, we present the current global food system challenge and consider both relatively high and relatively low fertility trajectories and their impacts for food policy and systems. Two futures are proposed. The first is a “stormy future” which is an extension of the “business as usual” scenario. The population would be hit hard by conflict, global warming, and/or other calamities and shocks (e.g., potentially another pandemic). These factors would strain food production and wreak havoc on both human and planetary health. Potential increases in mortality (from war, famine, and/or infectious diseases) cannot be easily modeled because the time, location, and magnitude of such events are unknowable, but a challenged future is foreseen for food security. The second trajectory considered is the “brighter future,” in which there would be increased access to education for girls and to reproductive health services and rapid adoption of the small family norm. World average fertility would decline to 1.6 births per woman by 2040, resulting in a population of 8.4 billion in 2075. This would put less pressure on increasing food production and allow greater scope for preservation of natural ecosystems. These two trajectories demonstrate why alternative population growth scenarios need to be investigated when considering future food system transitions. Demographers need to be involved in teams working on projections of climate and food security.
Population dynamics and climate change are the main challenges for the 21st century, especially in South America. Human populations will increase their exposure to novel climatic conditions in their territories, entangling and complicating health and social problems. We analyze how socioeconomic and climatic future pathways will evolve in South America, a land with high climatic and social heterogeneity. We use the Koppen-Geiger climate classification, population growth, and climate projections for the most likely climate change scenarios for the 2050s based on the CHELSA dataset. We found that tropical and arid climates extend between 4.2%-2.5% and 2.6%-3.9%, replacing temperate climate zones, which will be reduced between 5.3%-4.5% for the Representative Concentration Pathways (RCP) 4.5 and 8.5 respectively. This implies a reduction of the Mediterranean, oceanic and polar climates. Population growth shows a significant relationship to increasing tropical and arid climates extension in almost all countries, meaning a higher exposure to more severe conditions for humans. This work opens up the chance of using possible guidelines to assist environmental management with key background information on expected climate types and population changes and address the potential effects of climate change on human settlements in the near future.
Understanding public perceptions of the health risks of climate change is critical to inform risk communication and support the adoption of adaptive behaviours. In Canada, very few studies have explored public understandings and perceptions of climate impacts on health. The objective of this study was to address this gap by exploring perceptions of the link between climate change and health. METHODS: We conducted a survey of Canadians (n = 3,014) to address this objective. The 116-question survey measured prior consideration of the link between climate change and health, affective assessment of climate health impacts, unprompted knowledge of climate health impacts, and concern about a range of impacts. ANOVA tests were used to assess differences among sociodemographic groups. RESULTS: Overall, Canadian’s have a similar level of concern about health impacts of climate change compared with concern about other impacts (e.g. biophysical, economic, and national security). Among health-related impacts, respondents were more concerned about impacts on water, food and air quality, compared with impacts on mental health, infectious diseases and heat-related illnesses. There were differences among sociodemographic groups; women were significantly more concerned than men about all of the health-related impacts; respondents with a high school level of education were significantly less concerned about all health-related impacts compared with respondents with more education; and respondents on the political left were more concerned with those in the political centre, who were more concerned than those on the political right. CONCLUSION: There is emerging literature suggesting that framing communication around climate change in terms of the health risks it poses may increase perceptions of the proximity of the risks. These results suggest that it is important to be specific in the types of health risks that are communicated, and to consider the concerns of the target sociodemographic groups. The differential knowledge, awareness, and concern of climate health impacts across segments of the Canadian population can inform targeted communication and engagement to build broader support for adaptation and mitigation measures.
INTRODUCTION: Climate change has been described as the most significant threat to humanity and human health to have emerged this century. It is widely accepted that contemporary human activities are the major causes of climate change. It is also acknowledged that damaging human activities could be amenable to change through proactive environmental behaviours. Healthcare professionals have the potential to promote climate advocacy and mitigation through collective effort and individual actions. However, research suggests that nurses may not be aware of their potential to effect positive action. This review will synthesise evidence regarding nurses’ perceptions, attitudes, awareness and perspectives towards sustainable nursing practices and climate change. METHODS AND ANALYSIS: The Joanna Briggs Institute (JBI) methodology for mixed-methods systematic reviews will be applied to this proposed systematic review. It will be reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. CINAHL, PsycINFO, SCOPUS and PubMed databases will be searched. Data appraisal will be completed using the JBI and Mixed Methods Assessment Tool critical appraisal tool. Data synthesis and integration will follow the JBI convergent integrated approach. ETHICS AND DISSEMINATION: In compliance with university ethics requirements for secondary research and postgraduate researchers, ethical approval will be sought from the Coventry University Ethics Committee, UK. Dissemination of findings will be achieved through peer-review publications, conference presentations and seminars with local, national and international audiences.
Air pollution is among the leading environmental threats to health around the world today, particularly in the context of sports and exercise. With the effects of air pollution, pollution episodes (eg, wildfire conflagrations) and climate change becoming increasingly apparent to the general population, so have their impacts on sport and exercise. As such, there has been growing interest in the sporting community (ie, athletes, coaches, and sports science and medicine team members) in practical personal-level actions to reduce the exposure to and risk of air pollution. Limited evidence suggests the following strategies may be employed: minimising all exposures by time and distance, monitoring air pollution conditions for locations of interest, limiting outdoor exercise, using acclimation protocols, wearing N95 face masks and using antioxidant supplementation. The overarching purpose of this position statement by the Canadian Academy of Sport and Exercise Medicine and the Canadian Society for Exercise Physiology is to detail the current state of evidence and provide recommendations on implementing these personal strategies in preventing and mitigating the adverse health and performance effects of air pollution exposure during exercise while recognising the limited evidence base.
Climate Change-induced risk events intensify vulnerability and disproportionately affect regions and racialized immigrant communities. Understanding the multiple dimensions of disaster and risk, especially how these are embedded in a broader social-political context, and translated into risk management strategies, have now been identified as priority areas under Sendai Framework for Disaster Risk Reduction 2015-2030 and UN Research Roadmap for achieving Sustainable Development Goals (SDGs) 2030. Drawing on a relational intersectional approach, this study explores the meanings of climate change disasters and risk reduction strategies from a racialized immigrant community’s (i.e., Bangladeshi-Canadian) lived experiences in Calgary, Canada. From our relational research, we learned that extreme climate events (such as forest fires/wildfires, heat waves, flash floods, severe colds, hailstorms, etc.) are the most common stressors unevenly impacting the household economy, physical health, and mental and psychological wellbeing of the racialized immigrant community in Calgary. The community’s compounded vulnerability to disaster risks is further aggravated due to their intersectional positionality and structural inequality (systematic marginalization) rooted in the lack of explicit anti-racist policy guidelines in Canada. The community members adapt diverse strategies (mostly reactive) based on their family income, severity and frequency of the exposure to risks, social support system, geographic location (residence), cultural practices, and involvement with community networks. While proposing solutions, they suggested that community-engaged tailored disaster intervention strategy could play an instrumental role in addressing social vulnerability (determinants) and enhancing adaptive capacity at the local level. Moreover, this study calls for a more holistic account of the differential vulnerability context to better understand the structural root causes and emphasizes that upscaling land-based practices and knowledge transmission, ensuring deliberate participation of visible minorities, fostering collective action and integrating local community associations into all stages of disaster management should be the priority for the state agencies to support long-term resilience.
In this overview, we articulate research needs and opportunities in the field of infection prevention that have been identified from insights gained during operative infection prevention work, our own research in healthcare epidemiology, and from reviewing the literature. The 10 areas of research need are: 1) transmissions and interruptions, 2) personal protective equipment and other safety issues in occupational health, 3) climate change and other crises, 4) device, diagnostic, and antimicrobial stewardship, 5) implementation and de-implementation, 6) health care outside the acute care hospital, 7) low- and middle-income countries, 8) networking with the “neighbors”, 9) novel research methodologies, and 10) the future state of surveillance. An introduction and chapters 1-5 are presented in part I of the article, and chapters 6-10 and the discussion in part II. There are many barriers to advancing the field, such as finding and motivating the future IP workforce including professionals interested in conducting research, a constant confrontation with challenges and crises, the difficulty of performing studies in a complex environment, the relative lack of adequate incentives and funding streams, and how to disseminate and validate the often very local quality improvement projects. Addressing research gaps now (i.e., in the postpandemic phase) will make healthcare systems more resilient when facing future crises.
In this overview, we articulate research needs and opportunities in the field of infection prevention that have been identified from insights gained during operative infection prevention work, our own research in healthcare epidemiology, and from reviewing the literature. The 10 areas of research need are: 1) Transmissions and interruptions, 2) personal protective equipment and other safety issues in occupational health, 3) climate change and other crises, 4) device, diagnostic, and antimicrobial stewardship, 5) implementation and deimplementation, 6) healthcare outside the acute care hospital, 7) low- and middle-income countries, 8) networking with the “neighbors,” 9) novel research methodologies, and 10) the future state of surveillance. An introduction and chapters 1-5 are presented in part I of the article and chapters 6-10 and the discussion in part II. There are many barriers to advancing the field, such as finding and motivating the future IP workforce including professionals interested in conducting research, a constant confrontation with challenges and crises, the difficulty of performing studies in a complex environment, the relative lack of adequate incentives and funding streams, and how to disseminate and validate the often very local quality improvement projects. Addressing research gaps now (i.e., in the post-pandemic phase) will make healthcare systems more resilient when facing future crises.
Shipping is the cornerstone of international trade and thus a critical economic sector. However, ships predominantly use fossil fuels for propulsion and electricity generation, which emit greenhouse gases such as carbon dioxide and methane, and air pollutants such as particulate matter, sulfur oxides, nitrogen oxides, and volatile organic compounds. The availability of Automatic Information System (AIS) data has helped to improve the emission inventories of air pollutants from ship stacks. Recent laboratory, shipborne, satellite and modeling studies provided convincing evidence that ship-emitted air pollutants have significant impacts on atmospheric chemistry, clouds, and ocean biogeochemistry. The need to improve air quality to protect human health and to mitigate climate change has driven a series of regulations at international, national, and local levels, leading to rapid energy and technology transitions. This resulted in major changes in air emissions from shipping with implications on their environmental impacts, but observational studies remain limited. Growth in shipping in polar areas is expected to have distinct impacts on these pristine and sensitive environments. The transition to more sustainable shipping is also expected to cause further changes in fuels and technologies, and thus in air emissions. However, major uncertainties remain on how future shipping emissions may affect atmospheric composition, clouds, climate, and ocean biogeochemistry, under the rapidly changing policy (e.g., targeting decarbonization), socioeconomic, and climate contexts.
The spatio-temporal distribution of leishmaniasis, a parasitic vector-borne zoonotic disease, is significantly impacted by land-use change and climate warming in the Americas. However, predicting and containing outbreaks is challenging as the zoonotic Leishmania system is highly complex: leishmaniasis (visceral, cutaneous and muco-cutaneous) in humans is caused by up to 14 different Leishmania species, and the parasite is transmitted by dozens of sandfly species and is known to infect almost twice as many wildlife species. Despite the already broad known host range, new hosts are discovered almost annually and Leishmania transmission to humans occurs in absence of a known host. As such, the full range of Leishmania hosts is undetermined, inhibiting the use of ecological interventions to limit pathogen spread and the ability to accurately predict the impact of global change on disease risk. Here, we employed a machine learning approach to generate trait profiles of known zoonotic Leishmania wildlife hosts (mammals that are naturally exposed and susceptible to infection) and used trait-profiles of known hosts to identify potentially unrecognized hosts. We found that biogeography, phylogenetic distance, and study effort best predicted Leishmania host status. Traits associated with global change, such as agricultural land-cover, urban land-cover, and climate, were among the top predictors of host status. Most notably, our analysis suggested that zoonotic Leishmania hosts are significantly undersampled, as our model predicted just as many unrecognized hosts as unknown hosts. Overall, our analysis facilitates targeted surveillance strategies and improved understanding of the impact of environmental change on local transmission cycles.
Natural disasters, including floods, earthquakes, and hurricanes, result in devastating consequences at the individual and community levels. To date, much of the research reflecting the consequences of natural disasters focuses heavily on victims, with little attention paid to the personnel responding to such disasters. We conducted a systematic review of the challenges faced by military, medical and public safety personnel supporting natural disaster relief operations. Specifically, we report on the current evidence reflecting challenges faced, as well as positive outcomes experienced by military, medical and public safety personnel following deployment to natural disasters. The review included 382 studies. A large proportion of the studies documented experiences of medical workers, followed by volunteers from humanitarian organizations and military personnel. The most frequently reported challenges across the studies were structural (i.e., interactions with the infrastructure or structural institutions), followed by resource limitations, psychological, physical, and social challenges. Over 60% of the articles reviewed documented positive or transformative outcomes following engagement in relief work (e.g., the provision of additional resources, support, and training), as well as self-growth and fulfillment. The current results emphasize the importance of pre-deployment training to better prepare relief workers to manage expected challenges, as well as post-deployment supportive services to mitigate adverse outcomes and support relief workers’ well-being.
Climate change has reduced the comfort of community environments, and there is an urgent need to improve the health and well-being of low-income residents through design and technical measures. Therefore, this paper conducts research in the context of an ongoing social housing renovation project in Aosta, Italy, in a cold winter and hot summer Alpine environment. The study combined interviews, field measurements, and multiple software simulations to analyze the home of an older adult experiencing energy deprivation. The study found that the indoor acoustic environment quality meets the requirements of various sound-related standards. Still, the lighting and thermal environment must be designed to reduce glare and western sun exposure, and the air quality could improve. Residents’ demand for renovation is low technology, low cost, and high comfort. Therefore, suggestions for combining active and passive transformation measures and maximizing the use of climate and resources are proposed. The lighting and thermal environment are optimized based on the green wisdom of the Haylofts building of the Walser family in the Alps: increase ventilation and reduce indoor air age to improve air quality. Overall, a comprehensive assessment of extreme climatic conditions facilitates the quantitative and qualitative study and control of social housing environments, improves occupant comfort, and decarbonizes such social building stock.
PURPOSE OF REVIEW: As the incidence of allergic conditions has increased in recent decades, the effects of climate change have been implicated. There is also increased knowledge on the effects of other physical influences, such as scratching and Staphylococcus aureus . The skin barrier is the first line of defense to the external environment, so understanding the ways that these factors influence skin barrier dysfunction is important. RECENT FINDINGS: Although the impact on environmental exposures has been well studied in asthma and other allergic disorders, there is now more literature on the effects of temperature, air pollution, and detergents on the skin barrier. Factors that cause skin barrier dysfunction include extreme temperatures, air pollution (including greenhouse gases and particulate matter), wildfire smoke, pollen, scratching, S. aureus, and detergents. SUMMARY: Understanding the ways that external insults affect the skin barrier is important to further understand the mechanisms in order to inform the medical community on treatment and prevention measures for atopic conditions.
The medical profession is observing a rising number of calls to action considering the threat that climate change poses to global human health. Theory-led bioethical analyses of the scope and weight of physicians’ normative duty towards climate protection and its conflict with individual patient care are currently scarce. This article offers an analysis of the normative issues at stake by using Korsgaard’s neo-Kantian moral account of practical identities. We begin by showing the case of physicians’ duty to climate protection, before we succinctly introduce Korsgaard’s account. We subsequently show how the duty to climate protection can follow from physicians’ identity of being a healthcare professional. We structure conflicts between individual patient care and climate protection, and show how a transformation in physicians’ professional ethos is possible and what mechanisms could be used for doing so. An important limit of our analysis is that we mainly address the level of individual physicians and their practical identities, leaving out important measures to respond to climate change at the mesolevels and macrolevels of healthcare institutions and systems, respectively.
BACKGROUND: Ragweed is an invasive plant in Europe, causing hay fever and asthma in allergic patients. Climate change is predicted to increase expansion and allergenicity. Elevated NO(2) induced upregulation of a new allergen in ragweed pollen, an enolase, Amb a 12. OBJECTIVE: of this study was producing ragweed enolase as a recombinant protein and characterizing its physicochemical and immunological features. METHODS: Amb a 12 was designed for E. coli and insect cell expression. Physicochemical features were determined by mass spectrometry, circular dichroism measurements and enzymatic activity assay. Immunological characteristics were determined in ELISA, in a mediator release assay and by investigation of association with clinical symptoms. Common allergen sources were screened for similar proteins. RESULTS: Ragweed enolase was produced as a 48 kDa protein forming oligomers in both expression systems, showing differences in secondary structure content and enzymatic activity depending on expression system. IgE frequency and allergenicity were low regardless of expression system. Enolase-specific serum bound to similar sized molecules in mugwort, timothy grass and birch pollen, as well as food allergen sources, while highest IgE inhibition was achieved with peach pulp extract. CONCLUSIONS: Amb a 12 had high sequence similarity and comparable IgE frequency to enolase allergens from different sources. 50 kDa proteins were found in other pollen and food allergen sources, suggesting that enolases might be pan-allergens in pollen and plant foods.
Aging is associated with an elevated risk of heat-related mortality and morbidity, attributed, in part, to declines in thermoregulation. However, comparisons between young and older adults have been limited to brief exposures (1-4 h), which may not adequately reflect the duration or severity of the heat stress experienced during heat waves. We therefore evaluated physiological responses in 20 young (19-31 yr; 10 females) and 39 older (61-78 yr; 11 females) adults during 9 h of rest at 40°C and 9% relative humidity. Whole body heat exchange and storage were measured with direct calorimetry during the first 3 h and final 3 h. Core temperature (rectal) was monitored continuously. The older adults stored 88 kJ [95% confidence interval (CI): 29, 147] more heat over the first 3 h of exposure (P = 0.006). Although no between-group differences were observed after 3 h [young: 37.6°C (SD 0.2°C) vs. older: 37.7°C (0.3°C); P = 0.216], core temperature was elevated by 0.3°C [0.1, 0.4] (adjusted for baseline) in the older group at hour 6 [37.6°C (0.2°C) vs. 37.9°C (0.2°C); P < 0.001] and by 0.2°C [0.0, 0.3] at hour 9 [37.7°C (0.3°C) vs. 37.8°C (0.3°C)], although the latter comparison was not significant after multiplicity correction (P = 0.061). Our findings indicate that older adults sustain greater increases in heat storage and core temperature during daylong exposure to hot dry conditions compared with their younger counterparts. This study represents an important step in the use of ecologically relevant, prolonged exposures for translational research aimed at quantifying the physiological and health impacts of hot weather and heat waves on heat-vulnerable populations.NEW & NOTEWORTHY We found greater increases in body heat storage and core temperature in older adults than in their younger counterparts during 9 h of resting exposure to hot dry conditions. Furthermore, the age-related increase in core temperature was exacerbated in older adults with common heat-vulnerability-linked health conditions (type 2 diabetes and hypertension). Impairments in thermoregulatory function likely contribute to the increased risk of heat-related illness and injury seen in older adults during hot weather and heat waves.
Coping with surprise and uncertainty resulting from the emergence of undesired and unexpected novelty or the sudden reorganization of systems at multiple spatiotemporal scales requires both a scientific process that can incorporate diverse expertise and viewpoints, and a scientific framework that can account for the structure and dynamics of interacting social-ecological systems (SES) and the inherent uncertainty of what might emerge in the future. We argue that combining a convergence scientific process with a panarchy framework provides a pathway for improving our understanding of, and response to, emergence. Emergent phenomena are often unexpected (e.g., pandemics, regime shifts) and can be highly disruptive, so can pose a significant challenge to the development of sustainable and resilient SES. Convergence science is a new approach promoted by the U.S. National Science Foundation for tackling complex problems confronting humanity through the integration of multiple perspectives, expertise, methods, tools, and analytical approaches. Panarchy theory is a framework useful for studying emergence, because it characterizes complex systems of people and nature as dynamically organized and structured within and across scales of space and time. It accounts for the fundamental tenets of complex systems and explicitly grapples with emergence, including the emergence of novelty, and the emergent property of social-ecological resilience. We provide an overview of panarchy, convergence science, and emergence. We discuss the significant data and methodological challenges of using panarchy in a convergence approach to address emergent phenomena, as well as state-of-the-art methods for overcoming them. We present two examples that would benefit from such an approach: climate change and its impacts on social-ecological systems, and the relationships between infectious disease and social-ecological systems.
Dengue fever is a tropical disease and a major public health concern, and almost half of the world’s population lives in areas at risk of contracting this disease. Climate change is identified by WHO and other international health authorities as one of the primary factors that contribute to the rapid spread of dengue fever. METHODS: We evaluated the effect of sanitation on the cross-correlation between rainfall and the first symptoms of dengue in the city of Mato Grosso do Sul, which is in a state in the Midwest region of Brazil, and employed the time-lagged detrended cross-correlation analysis (DCCAC) method. RESULTS: Co-movements were obtained through the time-phased DCCAC to analyze the effects of climatic variables on arboviruses. The use of a time-lag analysis was more robust than DCCAC without lag to present the behavior of dengue cases in relation to accumulated precipitation. Our results show that the cross-correlation between rain and dengue increased as the city implemented actions to improve basic sanitation in the city. CONCLUSION: With climate change and the increase in the global average temperature, mosquitoes are advancing beyond the tropics, and our results show that cities with improved sanitation have a high correlation between dengue and annual precipitation. Public prevention and control policies can be targeted according to the period of time and the degree of correlation calculated to structure vector control and prevention work in places where sanitation conditions are adequate.
Epidemiological and toxicological studies have confirmed that exposure to atmospheric particulate matter (PM) could affect our cardiovascular and respiratory systems. Recent studies have shown that PM can penetrate the skin and cause skin inflammation, but the evidence is limited and contradictory. As the largest outermost surface of the human body, the skin is constantly exposed to the environment. The aim of this study was to assess the relationship between PM and inflammatory skin diseases. Most epidemiological studies have provided positive evidence for outdoor, indoor, and wildfire PM and inflammatory skin diseases. The effects of PM exposure during pregnancy and inflammatory skin diseases in offspring are heterogeneous. Skin barrier dysfunction, Oxidative stress, and inflammation may play a critical role in the underlying mechanisms. Finally, we summarize some interventions to alleviate PM-induced inflammatory skin diseases, which may contribute to public health welfare. Overall, PM is related to inflammatory skin diseases via skin barrier dysfunction, oxidative stress, and inflammation. Appropriate government interventions are beneficial.
Mosquito-borne flaviviruses are emerging pathogens with zoonotic potential. Due to the recent climate and environmental changes, they are spreading across Europe, becoming a major threat for public and veterinary health. West Nile virus (WNV) and Usutu virus (USUV) are arboviruses that are responsible for multiple disease outbreaks in different species of birds, reptiles, and mammals, including humans. This review reports and compares the clinical signs as well as the gross and microscopic pathological features during natural infection with WNV and USUV in wild and domestic animals, as well as in humans. The main objective of this comparative review is to delineate the common features and the specific differences that characterize WNV- and USUVinduced diseases in each group of species and to highlight the main gaps in knowledge that could provide insight for further investigation on the pathogenesis and neurovirulence of these viruses.
BACKGROUND: Extreme hot weather events are happening with increasing frequency, intensity and duration in Hong Kong. Heat stress is related to higher risk of mortality and morbidity, with older adults being particularly vulnerable. It is not clear whether and how the older adults perceive the increasingly hot weather as a health threat, and whether community service providers are aware and prepared for such future climate scenario. METHODS: We conducted semi-structure interviews with 46 older adults, 18 staff members of community service providers and two district councilors of Tai Po, a north-eastern residential district of Hong Kong. Transcribed data were analyzed using thematic analysis until data saturation was reached. RESULTS: It was agreed upon among the older adult participants that the weather in recent years has become increasingly hot and this led to some health and social problems for them, although some participants perceived that hot weather did not have any impact in their daily lives and they were not vulnerable. The community service providers and district councilors reported that there is a lack of relevant services in the community to support the older adults in hot weather; and there is generally a lack of public education regarding the heat-health issue. CONCLUSIONS: Heatwaves are affecting older adults’ health in Hong Kong. Yet, discussions and education effort regarding the heat-health issue in the public domain remain scarce. Multilateral efforts are urgently needed to co-create a heat action plan to improve community awareness and resilience.
Changes to water conditions due to eutrophication and climate change have resulted in the proliferation of algae blooms in freshwater and marine environments globally, including in Canadian lakes. We developed and administered an online survey to evaluate the awareness of these blooms and the perceptions of health risks in a sample of New Brunswick waterfront cottage and homeowners. The survey was distributed to lake and cottage associations in New Brunswick and was completed by 186 eligible respondents (18 years of age or older). Participants were asked about the water quality of their lake, awareness about algae blooms, sociodemographic and cottage characteristics, and to complete a self-rated measure of physical and mental health. While approximately 73% of participants reported that the quality of their lake water was good or very good, 41% indicated a concern about algae blooms. We found no differences in self-reported physical or mental health between those who were aware of algae blooms at their cottage and those who were not (p > 0.05). Participants expressed concerns about the impacts of algae blooms on the health of their pets, and wildlife. While climate change was the most frequently identified cause of algae blooms, there was substantial heterogeneity in the responses. In addition, the reporting of the presence and frequency of algae bloom varied between respondents who lived on the same lake. Taken together, the findings from our survey suggest that cottage owners in New Brunswick are aware and concerned about the impacts of algae blooms, however, there is a need to provide additional information to them about the occurrence and causes of these blooms.
With the increasingly adverse impact of global warming on extreme weather conditions, including landslides, it is more important than ever to alert the public to landslide risks so that people can take precautionary measures. We report the first major project in Hong Kong assessing the public’s understanding of landslides and perceptions of the Landslip Early Warning System (“current LEWS”) and exploring the perceived usefulness of the concept of a multi-tiered LEWS (“multi-tiered LEWS”). In Study 1, we gauged the public’s understanding of landslides and knowledge of the current LEWS by collecting information from five focus groups. That information was used to construct the survey that we administered in Study 2, in which 1834 individuals participated in face-to-face interviews. The results show that only 37% of the participants saw the connection between global warming and landslides. The majority of the sample believed that slope safety has clearly improved over the last decade (88%) and that landslides are a remote concern (91%). Although 90% of the participants were aware of the current LEWS, only 28% were concerned about it because it had little impact on their residential or activity areas. The concept of a multi-tiered LEWS was positively received, although there is an urgent need for further research to demonstrate how to implement this concept with sufficient public education to ensure that it will improve public alertness of landslides.
Climate change has significantly enhanced dangerous heat events. Many of our institutions are ill-prepared to provide science-informed and rapid interventions to confront this. The GeoHealth community is working to bring science, public health, and medical professionals closer together to grapple with the challenges posed by extreme heat.
Following the 2010-2011 floods and cyclones that affected 78% of Queensland, Australia, a State-wide mental health response was established. The response plan included a 24-hour access line. This study examines the effectiveness of the mental health screening program conducted via the State-wide health call center (13HEALTH) in 2012. METHODS: Callers to the 13HEALTH line were screened to assess the impact of the disaster. The 13HEALTH clinicians administered the Primary Care-Posttraumatic Stress Disorder Scale (PC-PTSD) screening measure. Those scoring more than two on the PC-PTSD Scale were provided information on the emotional impact of disasters and a referral to the post-disaster specialist mental health program (SMHP). For calls related to those under 18, a single-item question assessed behavioral or emotional changes since the natural disasters. Those with identified changes were offered a referral to a post-disaster SMHP.The study evaluates the relationship between disaster exposure and the likelihood of 13HEALTH callers experiencing physical health concerns and unacknowledged mental health symptoms. The program’s cost for the 12 months of 2012 was assessed using data from the financial contract. RESULTS: In 2012, there were 205,064 calls to 13HEALTH: 19,708 identified as residing in a flood or cyclone-affected area, 7,315 adults indicated they were personally affected, and 907 scored more than two on the PC-PTSD Scale. Only 700 agreed to a referral to the SMHP. There were 290 children under 18 assessed as at risk; 207 accepted a referral to a SMHP.Regions that experienced a greater impact from the floods and cyclones were 1.3-2.3 times more likely to report being personally affected by the floods and cyclones. Similarly, these regions had more callers scoring more than two on the PC-PTSD Scale. The total cost of the 13HEALTH program for 2012 was $53,284 (AU) across all age groups. CONCLUSION: The 13HEALTH general health post-disaster screening program demonstrates opportunistic screening may assist identification of those with unmet mental health needs. The data indicate an increased likelihood of personal exposure in the more affected regions with an increased risk of unrecognized psychological symptoms as assessed by the PC-PTSD Scale. However, more than 20% declined referral to a SMHP.
Malnutrition, food security and food safety will remain major global issues as the world’s population grows and the consequences of climate change prevail, so we need to rethink how we grow and source food to create sustainable systems for future generations. Edible cities, as innovative solutions to use public spaces for urban food production, can bridge this evident gap between the present and the future. The aim of this review was to analyze the opportunities and constraints for creating edible cities and accessing wholesome functional foods in a sustainable way and explore existing solutions that can be strengthened. We can grow food in urban environments using ideas such as controlled-environment farms (CEAs), home food gardens on balconies, roofs and terraces, underground farming and foraging. As citizens become more aware of complex foods with nutritional benefits, we should take this opportunity to teach them about edible wholesome functional foods and how they can be grown instead of using plants. There are still many constraints such as pollution, a lack of government support and the economic aspects of urban farms that need to be resolved in order for edible cities and access to functional foods in them to become the standard worldwide. The goal is worthwhile as citizens would benefit from climate control, reduced resource consumption, a safer food supply, improved mental and physical health, reduced malnutrition and nutritional deficiencies and connected communities that share knowledge and resources to further innovation and welfare.
Combined heat and humidity is frequently described as the main driver of human heat-related mortality, more so than dry-bulb temperature alone. While based on physiological thinking, this assumption has not been robustly supported by epidemiological evidence. By performing the first systematic comparison of eight heat stress metrics (i.e., temperature combined with humidity and other climate variables) with warm-season mortality, in 604 locations over 39 countries, we find that the optimal metric for modelling mortality varies from country to country. Temperature metrics with no or little humidity modification associates best with mortality in similar to 40% of the studied countries. Apparent temperature (combined temperature, humidity and wind speed) dominates in another 40% of countries. There is no obvious climate grouping in these results. We recommend, where possible, that researchers use the optimal metric for each country. However, dry-bulb temperature performs similarly to humidity-based heat stress metrics in estimating heat-related mortality in present-day climate.
This literature review presents major environmental indicators and their optimum variation ranges for the prevalence of Vibrio parahaemolyticus in the marine environment by critically reviewing and statistically analyzing more than one hundred studies from countries around the world. Results of this review indicated that the prevalence of Vibrio parahaemolyticus in the marine environment is primarily responsive to favorable environmental conditions that are described with environmental indicators. The importance of environmental indicators to the prevalence of Vibrio parahaemolyticus can be ranked from the highest to lowest as Sea Surface Temperature (SST), salinity, pH, chlorophyll a, and turbidity, respectively. It was also found in this study that each environmental indicator has an optimum variation range favoring the prevalence of Vibrio parahaemolyticus. Specifically, the SST range of 25.67 ± 2 °C, salinity range of 27.87 ± 3 ppt, and pH range of 7.96 ± 0.1 were found to be the optimum conditions for the prevalence of Vibrio parahaemolyticus. High vibrio concentrations were also observed in water samples with the chlorophyll a range of 16-25 μg/L. The findings provide new insights into the importance of environmental indicators and their optimum ranges, explaining not only the existence of both positive and negative associations reported in the literature but also the dynamic associations between the Vibrio presence and its environmental drivers.
Understanding the relationship between infectious disease outbreaks and natural disasters is important in developing response and disaster risk reduction strategies. The aim of this study was to identify outbreaks associated with natural disasters during the past 20 y, and outline risk factors and mechanisms for postdisaster outbreaks. Review of the international disaster database (EM-DAT) and systematic review of the literature were conducted. The records of disaster events in EM-DAT during the past 20 y were screened. A literature search was carried out in the databases PubMed and Embase. Articles in English language published between 2000 and 2020 were searched. Data were extracted from articles and Narrative synthesis was used to summarize the findings. We found 108 events associated with epidemics, the majority being floods. We found 36 articles, most of them focused on outbreaks after floods. Risk factors and mechanisms that contributed to the outbreaks were mainly related to the consequences of disaster and its impact on the environment and living conditions of population. Infrastructure readiness and postdisaster measures play important roles in controlling the spread of epidemics after natural disasters. More evidence and research are required for better understanding of the association between natural disasters and infectious diseases outbreaks.
More frequent and severe extreme weather events such as heatwaves are among the most serious challenges to society in coping with the changing climate. To evaluate the impacts of the heatwave on large-scale urban areas, a multi-scale weather forecasting system is designed by integrating different resolutions of the Canadian urbanized version of the Global Environmental Multiscale (GEM) Numerical Weather Prediction (NWP) model, cascading from 10 km to 2.5 km, and 250 m. The multi-scale model is implemented in Montreal, Canada, for modeling the 2018 heatwave. Simulation results are well-validated against measurement data, including Moderate Resolution Imaging Spectroradiometer (MODIS) satellite imagery and ten weather stations in the city. The Universal Thermal Climate Index (UTCI) map was calculated to identify vulnerable regions in the city against the heatwave. Land-use types in hotspots and coldspots are analyzed to find dominant factors in the formation of hot and cold areas. It is found that natural landscapes such as vegetation, trees, and water bodies are the dominant features of most coldspots. On the other hand, roads, parking lots, less tree covers, and industrial activities are the common land use features in the hotspots. A weak correlation is found between heat-related death locations and the outdoor UTCI map, implying that the assessment of an outdoor heatwave may not address overheated buildings and communities. This paper shows the importance of built environments – their properties and occupants’ socio-demographic factors in the study of heat-related mortalities in cities.
Heat stress from the environment can be detrimental to athletes’ health and performance. No research, however, has explored how elite athletes conceptualize and experience heatwaves and climate change. Utilizing a qualitative approach, this study examined elite athletes’ perceptions, experiences, and responses to extreme heat in relation to climate change and explored the use of their platforms for climate activism. Fourteen elite athletes from the United Kingdom, Australia, the United States, Sweden, and Canada, who represented 10 different sports including race walking, netball, and cricket were recruited using snowball sampling. Data were collected using semistructured interviews. Thematic analysis revealed four broad themes. The first theme reflected uncertainty surrounding the causes of heatwaves and the impact of heat on athlete health and performance. The second theme reflected care and concern for sport and society, including concern for the well-being of athletes and spectators, the impact of heat on facilities and participation at the grassroots level, and how the nature of sport may change in the future. The third theme referred to the implications of heatwave experience on athlete health and performance, and how experience affected individual and organizational preparedness. The fourth theme referred to enablers and barriers to successful climate change communication. This study contributes to the sport ecology literature by introducing the subjective heat experiences of elite athletes. Educating athletes and event organizers about the impacts of heat on sport participation is imperative to increase awareness and, it is hoped, to limit illness for those training and competing.
Climatic and micro-climatic phenomena such as summer heat waves and Urban Heat Island (UHI) are increasingly endangering the city’s livability and safety. The importance of urban features on the UHI effect encourages us to consider the configuration of urban elements to improve cities’ sustainability and livability. Most solutions are viable when a city redevelops and new areas are built to focus on aspects such as optimum design and the orientation of building masses and streets, which affect thermal comfort. This research looks beyond outdoor thermal comfort studies using UHI data and geoprocessing techniques in Tallinn, Estonia. This study supposes that designing urban canyons with proper orientation helps to mitigate the UHI effect by maximizing outdoor thermal comfort at the pedestrian level during hot summer days. In addition, optimizing the orientation of buildings makes it possible to create shaded and cooler areas for pedestrians, reducing surface temperature, which may create more comfortable and sustainable urban environments with lower energy demands and reduced heat-related health risks. This research aims to generate valuable insights into how urban environments can be designed and configured to improve sustainability, livability, and outdoor thermal comfort for pedestrians. According to the study results, researchers can identify the most effective interventions to achieve these objectives by leveraging UHI data and geoprocessing techniques and using CFD simulations. This evaluation is beneficial in guiding urban planners and architects in proposing mitigation solutions to enhance thermal comfort in cities and creating suitable conditions for approved thermal comfort levels. Results of the study show that in the location used for the survey, Tallinn, Estonia, the orientation of West-East offers the optimum level of comfort regarding thermal comfort and surface temperature in the urban environment.
It is expected that heatwaves will strike more frequently and with higher temperatures with the contin-uation of global warming. More extreme heatwaves concurrent with disruptions in the cooling system can lead to significant overheating problems in buildings affecting occupants’ health, productivity, and comfort. This paper projects current and future heatwaves on an optimized nearly Zero-Energy terraced dwelling in Brussels, assuming the outage of the cooling system. Initially, a multi-objective optimization is performed considering 13 passive design strategies using the Genetic Algorithm (GA) based on the Non-dominated Sorting Genetic Algorithm 2 (NSGA-II) method. It is found that high ventilation rate, low infiltration rate, high insulation, high thermal mass, integration of green roof, and application of operable roller blinds are beneficial in reducing the final HVAC energy use up to 32% and enhancing ther-mal comfort up to 46%. Subsequently, three optimal solutions are selected and analyzed under the high-est maximal temperature heatwaves detected during the 2001-2020, 2041-2060, and 2081-2100 periods. It is found that non of the optimal solutions are able to fully suppress overheating during heat-waves and the cooling system outage. The indoor operative temperatures reach more than 29 degrees C; which can cause serious health issues for the occupants. The situation will be exacerbated in the future since an increase in maximum Heat Index (HI) between 0.28 degrees C and 0.49 degrees C, an increase in the maximum operative temperature between 1.34 degrees C and 2.33 degrees C, and a decrease in Thermal Autonomy (TA) between 17% and 28% are estimated. Finally, some recommendations are provided for practice and future research.(c) 2023 Elsevier B.V. All rights reserved.
Amidst rising ambient temperatures and frequent heatwaves, assessing summer indoor overheating is crucial. This study examined overheating in over 6000 apartments to show the temporal aspects of indoor overheating during the hot summer of 2021 compared to the average summer of 2020 in the Helsinki region of Finland, with additional consideration of the apartments’ design year, size, and number of rooms. Data analysis was conducted employing ANOVA and post hoc tests to assess the impact of apartment characteristics on overheating. Finnish building codes and health-related regulations defined three temperature thresholds to determine overheating: 27 & DEG;C, 30 & DEG;C, and 32 & DEG;C. The findings indicated that during the summer of 2020, 76%, 8%, and 1% of apartments exceeded 27 & DEG;C, 30 & DEG;C, and 32 & DEG;C, respectively. In the hot summer of 2021, these proportions increased significantly to 96%, 32%, and 4%. The average number of degree hours above 27 & DEG;C in 2021 was three times higher than in 2020. While nighttime temperatures were slightly lower, there was a considerable number of degree hours above 27 & DEG;C. Smaller apartments exhibited a higher risk of overheating. Those constructed after 2012 demonstrated lower overheating risks during the hot summer.
Climate heat waves occurring in urban centers are a serious threat to public health and wellbeing. Historically, most heat-related mortalities have arisen from excessive overheating of building interiors housing older occupants. This paper developed an approach that combines the results from building simulation and bioheat models to generate health-based limit criteria for overheating in long-term care homes (LTCHs) by which the body dehydration and core temperature of older residents are capped during overheating events. The models of the LTCHs were created for buildings representative of old and current construction practices for selected Canadian locations. The models were calibrated using measurements of indoor temperature and humidity acquired from monitoring the building interiors and the use of published building energy use intensity data. A general procedure to identify overheating events and quantify their attributes in terms of duration, intensity, and severity was developed and applied to LTCHs to generate the limit criteria. Comparing the limit criteria from the proposed and comfort-based methods showed evident differences. The proposed method predicted the overheating risk consistent with the overall thermal comfort during overheating events in contrast to the comfort-based methods. The new limit criteria are intended to be used in any study to evaluate overheating risk in similar buildings.
BACKGROUND: Migration due to environmental factors is an international crisis affecting many nations globally. Pregnant people are a vulnerable subgroup of migrants. AIM: This article explores the potential effects of environmental migration on pregnancy and aims to draw attention to this rising concern. METHODS: Based on the study aim, a semi-structured literature review was performed. The following databases were searched: MEDLine (PubMed) and Google Scholar. The search was originally conducted on 31st January 2021 and repeated on 22nd September 2022. RESULTS: Pregnant migrants are at increased risk of mental health disorders, congenital anomalies, preterm birth, and maternal mortality. Pregnancies exposed to natural disasters are at risk of low birth weight, preterm birth, hypertensive disorders, gestational diabetes, and mental health morbidity. Along with the health risks, there are additional complex social factors affecting healthcare engagement in this population. CONCLUSION: Maternity healthcare providers are likely to provide care for environmental migrants over the coming years. Environmental disasters and migration as individual factors have complex effects on perinatal health, and environmental migrants may be at risk of specific perinatal complications. Obstetricians and maternity healthcare workers should be aware of these challenges and appreciate the individualised and specialised care that these patients require.
BACKGROUND: Heat exposures occur in many occupations. Heat has been linked to key carcinogenic processes, however, evidence for associations with cancer risk is sparse. We examined potential associations between occupational heat exposure and prostate cancer risk in a multi-country study. METHODS: We analysed a large, pooled dataset of 3142 histologically confirmed prostate cancer cases and 3512 frequency-matched controls from three countries: Canada, France, and Spain. Three exposure indices: ever exposure, lifetime cumulative exposure and duration of exposure, were developed using the Finnish Job-Exposure Matrix, FINJEM, applied to the lifetime occupational history of participants. We estimated odds ratios (ORs) and 95% confidence intervals (CIs), using conditional logistic regression models stratified by 5-year age groups and study, adjusting for potential confounders. Potential interactions with exposure to other occupational agents were also explored. RESULTS: Overall, we found no association for ever occupational heat exposure (OR 0.97; 95% CI 0.87, 1.09), nor in the highest categories of lifetime cumulative exposure (OR 1.04; 95% CI 0.89, 1.23) or duration (OR 1.03; 95% CI 0.88, 1.22). When using only the Spanish case-control study and a Spanish Job Exposure Matrix (JEM), some weakly elevated ORs were observed. CONCLUSIONS: Findings from this study provide no clear evidence for an association between occupational heat exposure and prostate cancer risk.
INTRODUCTION: While there is consistent evidence on the effects of heat on workers’ health and safety, the evidence on the resulting social and economic impacts is still limited. A scoping literature review was carried out to update the knowledge about social and economic impacts related to workplace heat exposure. METHODS: The literature search was conducted in two bibliographic databases (Web of Science and PubMed), to select publications from 2010 to April 2022. RESULTS: A total of 89 studies were included in the qualitative synthesis (32 field studies, 8 studies estimating healthcare-related costs, and 49 economic studies). Overall, consistent evidence of the socioeconomic impacts of heat exposure in the workplace emerges. Actual productivity losses at the global level are nearly 10% and are expected to increase up to 30-40% under the worst climate change scenario by the end of the century. Vulnerable regions are mainly low-latitude and low- and middle-income countries with a greater proportion of outdoor workers but include also areas from developed countries such as southern Europe. The most affected sectors are agriculture and construction. There is limited evidence regarding the role of cooling measures and changes in the work/rest schedule in mitigating heat-related productivity loss. CONCLUSION: The available evidence highlights the need for strengthening prevention efforts to enhance workers’ awareness and resilience toward occupational heat exposure, particularly in low- and middle-income countries but also in some areas of developed countries where an increase in frequency and intensity of heat waves is expected under future climate change scenarios.
Seafood can vehiculate foodborne illnesses from water to humans. Climate changes, increasing water contamination and coastlines anthropization, favor the global spread of Vibrio spp. and the occurrence of antibiotic-resistant isolates. The aim of this study was to evaluate the spread of potentially pathogenic Vibrio spp. in fishery products collected in Sicily and to assess their antibiotic resistance. Bacteriological and molecular methods were applied to 603 seafood samples to detect V. parahaemolyticus, V. cholerae, V. vulnificus, and Vibrio alginolyticus in order to assess their pathogenicity and antimicrobial resistance. About 30% of bivalves and 20% of other fishery products were contaminated by Vibrio spp.; V. parahaemolyticus accounted for 43/165 isolates, 3 of which were carrying either tdh or trh; V. cholerae accounted for 12/165 isolates, all of them non-O1 non-O139 and none carrying virulence genes; and V. vulnificus accounted for 5/165 isolates. The highest rates of resistance were observed for ampicillin, but we also detected strains resistant to antibiotics currently included among the most efficient against Vibrio spp. In spite of their current low incidence, their rise might pose further issues in treating infections; hence, these results stress the need for a continuous monitoring of antimicrobial resistance among fishery products and an effective risk assessment.
Aflatoxins are highly carcinogenic metabolites produced by some Aspergillus species and are the most prevalent mycotoxins. Although aflatoxins are commonly synthesized during fungal colonization in preharvest maize, cereals, and nuts, they can be transported by rainfall to surface water and are a common toxin found in wastewater from some food industries. Here, the occurrence of aflatoxins in bodies of water is reviewed for the first time, along with the decontamination methods. Aflatoxins have been detected in surface, wastewater and drinking water, including tap and bottled water. The specific sources of water contamination remain unclear, which is an important gap that must be addressed in future research. Two main kinds of decontamination methods have been reported, including degradation and adsorption. The best degradation rates were observed using gamma and UV irradiations, oxidoreductases and ozone, while the best adsorption abilities were observed with minerals, polyvinyl alcohol, durian peel and activated carbon. Synthetic polymers could be used as membranes in pipes to remove aflatoxins in water flows. Although most decontamination methods were screened using AFB(1), the other commonly found aflatoxins were not used in the screenings. Overall, the occurrence of aflatoxins in water could be a significant emerging public health concern largely ignored by local and international legislation. Numerous advances have been reported for the decontamination of aflatoxins in water; however, there is still a long way to go to put them into practice.
Dried fruits are popular and nutritious snacks consumed worldwide due to their long shelf life and concentrated nutrient content. However, fruits can be contaminated with various toxigenic fungal species during different stages, including cultivation, harvesting, processing, drying, and storage. Consequently, these products may contain high levels of mycotoxins. This risk is particularly pronounced in developed countries due to the impact of climate change. Several factors contribute to mycotoxin production, including the type of fruit, geographical location, climate conditions, harvest treatments, and storage management practices. The main mycotoxins in dried fruits are aflatoxins (AFs) and ochratoxin A (OTA), which can induce human health problems and economic losses. Mycotoxin contamination can vary significantly depending on the geographic origin of dried fruits (vine fruits, figs, dates, apricots, prunes, and mulberries). The aim of this review was to fill the knowledge gap by consolidating data from various regions to understand the global picture and identify regions with higher contamination risks. By consolidating research from various origins and stages of the supply chain, the review intends to shed light on potential contamination events during pre-harvest, drying, storage, and trading, while also highlighting the effects of storage conditions and climate change on mycotoxin contamination.
OBJECTIVE: Climate change has implications for human health worldwide, with workers in outdoor occupations in low- to middle-income countries shouldering the burden of increasing average temperatures and more frequent extreme heat days. An overlooked aspect of the human health impact is the relationship between heat exposure and increased risk of occupational injury. In this study, we examined the association between occupational injury occurrence and changes in outdoor temperatures through the workday among a cohort of Guatemalan sugarcane harvesters. METHODS: Occupational injuries recorded for the 2014/2015 to 2017/2018 harvest seasons were collected from a large agribusiness employing male sugarcane harvesters in Southwest Guatemala. Wet Bulb Globe Temperature (WBGT) for the same period was collected from the El Balsamo weather station. We used a logistic mixed effects model to examine the association between injury occurrence and (1) the average WBGT during the hour injury was recorded, (2) the average WBGT during the hour prior to the injury being recorded, and (3) the change in the hourly average WBGT prior to the injury being recorded. RESULTS: There were 155 injuries recorded during the study period. Injuries were recorded most often between 14:00 and 16:00 (n = 62, 40%) followed by 8:00 and 10:00 (n = 56, 36%). There were significant differences in the average hourly WBGT and the hour in which injuries were recorded (p-value <.001). There were no observable associations between average hourly WBGT (OR: 1.00, 95%CI: 0.94, 1.05; p-value: 0.87), lagged average hourly WBGT (OR: 1.01, 95%CI: 0.97, 1.05; p-value: 0.71), or change in average hourly WBGT (OR: 0.96, 95%CI: 0.89, 1.04; p-value: 0.35) and recorded occupational injury. CONCLUSIONS: This is the first study that has examined how changes in WBGT throughout the day are related to occupational injury among agricultural workers. Although this study did not demonstrate an association, there is a need for future research to examine how various measurements of WBGT exposure are related to occupational injury in agricultural worker populations.
The incidence of aflatoxins, ochratoxin A, and patulin in fruits and processed fruit products has been ever more challenging and gained additional focus on ecofriendly mitigation strategies. The onset of these toxins is due to several factors involving insect attacks, agricultural practices, and climate change. Acute and chronic health hazards are clinically proven after consuming contaminated foodstuffs, even at lower concentrations of mycotoxins. Synergistic, masked, and substantial occurrence in fruit matrices increase their complexity in detection and detoxification; apparently, this article reviewed the available information on the occurrence of mycotoxins in several fruits and their products, focused on the conventional and advanced methods of identification, quantification, and decontamination techniques. Strengthening and implementing stringent international and national guidelines are required for impactful, tangible measures in the future. Nevertheless, controlling the mycotoxins in fruits will certainly be challenging for scientists. Therefore, more impactful technologies are still needed to eliminate the toxins at the threshold level of the food chain and ensure sustainable global food safety.
Heat waves impact the health of older adults, and occupations are important for health. An overview of research focussed on older adults’ occupations in heat waves can be useful for occupational therapy practice. OBJECTIVE: To identify what the literature shows about older adults’ experience and performance of, and participation in, occupations in heat waves. MATERIAL AND METHOD: This scoping review included a literature search in five academic databases, four databases for grey literature, and a manual search. Literature in English regarding older adults 60+ and their occupations in heat waves were eligible. FINDINGS: Twelve studies were included. Findings showed that older adults adapt their occupations using bodily, environmental, and social interaction strategies and by changing their daily routines. Personal, environmental, social, and economic factors facilitate and maintain occupations in heat waves. CONCLUSION: Older adults adapt their occupations in heat waves and different factors impact how they can be adapted. Future research is needed to explore how older adults experience their occupations in heat waves, and to deepen the knowledge about their heat-adaptive strategies. SIGNIFICANCE: The findings support the role of occupational therapists in the design and practice of interventions managing the impact of heat waves in daily life.
During emergencies, older adults stand among the most vulnerable, facing long-lasting food insecurity and overall health issues. The “365+ Days of Care” food aid program addressed food insecurity and poor quality of life among vulnerable older adults following a devastating wildfire in Greece. Our aim was to evaluate the program’s efficiency, using a process evaluation framework and a partial cost-utility analysis. In total, n = 133 wildfire-hit residents (≥65 years) received daily tailored, pre-cooked meals and/or weekly food packages. The study outcomes were assessed from baseline to 12 months later. Focus groups and interviews (n = 30), researcher observations, and questionnaires were used to assess the beneficiaries’ perception of the initiative. Within the 12-month follow-up period, food insecurity and malnutrition risk decreased, whereas Mediterranean diet adherence; quality of life; and physical, social, and mental health were improved (p < 0.05). A one-point increase in food insecurity was positively associated with improved quality of life, general health, limitation in activities, body pain, vitality, and pain/discomfort (p's < 0.05), and it was marginally associated with mobility, anxiety/depression, and self-evaluated health status (p's < 0.1). Quantitative and qualitative data characterized it as successful, acceptable, beneficial, and of high quality. The partial cost-utility ratio was one QALY gained per EUR 22.608. The utilization of well-designed food aid programs during emergencies can alleviate food insecurity and improve quality of life in older adults.
Food insecurity, defined as the lack of physical or economic access to safe, nutritious and sufficient food, remains one of the main challenges included in the 2030 Agenda for Sustainable Development. Near real-time data on the food insecurity situation collected by international organizations such as the World Food Programme can be crucial to monitor and forecast time trends of insufficient food consumption levels in countries at risk. Here, using food consumption observations in combination with secondary data on conflict, extreme weather events and economic shocks, we build a forecasting model based on gradient boosted regression trees to create predictions on the evolution of insufficient food consumption trends up to 30 days in to the future in 6 countries (Burkina Faso, Cameroon, Mali, Nigeria, Syria and Yemen). Results show that the number of available historical observations is a key element for the forecasting model performance. Among the 6 countries studied in this work, for those with the longest food insecurity time series, that is Syria and Yemen, the proposed forecasting model allows to forecast the prevalence of people with insufficient food consumption up to 30 days into the future with higher accuracy than a naive approach based on the last measured prevalence only. The framework developed in this work could provide decision makers with a tool to assess how the food insecurity situation will evolve in the near future in countries at risk. Results clearly point to the added value of continuous near real-time data collection at sub-national level.
Heatwaves are among the most important global public health challenges of our time. Yet we know little about how exposure to heatwaves (as opposed to hot days) affects health at birth, which is a key contributor to health, development, and well-being in later life. This study addresses this shortcoming by investigating the relationship between in utero exposure to heatwave and birthweight by assessing both the timing and mechanisms of heatwave effects. I use novel georeferenced survey data on birth and pregnancy outcomes from the latest round of the Demographic and Health Surveys to link the birth outcomes of 64,210 infants across 11 sub-Saharan African countries with high-resolution daily climate data. I find that infants exposed to heatwave in the third trimester of gestation had significantly lower birthweight and that this effect is mediated by reduced gestational age at birth instead of reduced intrauterine growth. The effect of heatwave is concentrated among male babies and mothers with no or little formal education. By highlighting how exposure to environmental conditions early in life shapes health outcomes with far-reaching consequences, the findings carry lessons for policymakers to protect pregnant women from heatwave exposure to mitigate the negative impact of climate change.
Although many previous studies have established the instability threshold of flooded people in terms of velocity and depth, considering that the hydrodynamic instability of people is a multiple -factor-affected phenomenon involving a complex human body-floodwater interaction, how some factors affect the hydrodynamic instability behaviour of pedestrians in floodwaters remains vague but is necessary to support flood risk management and implement tailored risk reduction stra-tegies. In this study, we adopt different physical human-body models to represent pedestrians in a quasi-natural state and test their instability thresholds in a controlled flume under six different conditions. Preliminary experimental results show that (i) the turbulent intensity of the flood-water may play a role in causing the instability of human body, and an upgraded threshold formula that accounts for this effect has been proposed; (ii) an adult’s instability threshold is much higher than a child, while a female wearing a pair of heels even has a higher instability threshold than a male, particularly in deep water; (iii) the orientation of the human body also affects the instability threshold: 90 degrees yields the highest stability, 180 degrees and 45 degrees are the second and the third, while 0 degrees has the lowest value; (iv) a postural adjustment of pedestrians against the floodwater affects safety as well; (v) increasing friction tends to lead to an increased instability threshold at low depths, while friction appears to be inconsequential at moderate to large depths; (vi) a tandem arrangement of people in a crowd is more favourable to the security of a flooded child at the end of the crowd, while a parallel arrangement of the crowd reduces the safety of a child in the middle of the crowd, and a staggered arrangement yields moderate safety; (vii) the presence of a building directly in front of the flooded pedestrian markedly improves their safety, while the blocking effect due to lateral buildings plays little role. This study provides some experimental evidence and possible physical insights regarding the hydrodynamic safety of pe-destrians in urban flooding.
Despite being considered a neglected, re-emerging and the most widespread zoonotic disease worldwide, human-dog leptospirosis has not been subjected to One Health approach, and neither were its socioeconomic and environmental risk factors, as well as concomitant spatial analysis over time. Accordingly, notified human leptospirosis cases, incidence rate and urban hotspot areas, in addition to a systematic review of dog leptospirosis cases, were performed nationwide from 2001 to 2020 in Brazil. Data on Gross Domestic Product (GDP), flooding and study areas were also assessed and tabulated. Human-dog leptospirosis cases were simultaneously mapped with overlapping flooding areas, along with the main circulant serovars. Comparative outcome has shown that dogs may be exposed similarly to humans, becoming important sentinels and/or reservoirs for human leptospirosis in larger geographic areas. Moreover, the study herein can help in the decision and implementation of public policies in Brazil and may serve as a model for other tropical countries worldwide.
In conjunction with global climate change, progressive ocean warming, and acclivity in pollution and anthropogenic eutrophication, the incidence of harmful algal blooms (HABs) and cyanobacterial harmful algal blooms (CHABs) continue to expand in distribution, frequency, and magnitude. Algal bloom-related toxins have been implicated in human health disorders and ecological dysfunction and are detrimental to the national and global economy. Biomonitoring programs based on traditional monitoring protocols were characterised by some limitations that can be efficiently overdone using the CRISPR/Cas technology. In the present review, the potential and challenges of exploiting the Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)-Cas technology for early detection of HABs and CHABs-associated toxigenic species were analysed. Based on more than 30 scientific papers, the main results indicate the great potential of CRISPR/Cas technology for this issue, even if the high sensitivity detected for the Cas12 and Cas13 platforms represents a possible interference risk.
Vector-borne diseases, including those transmitted by mosquitoes, account for more than 17% of infectious diseases worldwide. This number is expected to rise with an increased spread of vector mosquitoes and viruses due to climate change and man-made alterations to ecosystems. Among the most common, medically relevant mosquito-borne infections are those caused by arthropod-borne viruses (arboviruses), especially members of the genera Flavivirus and Alphavirus. Arbovirus infections can cause severe disease in humans, livestock and wildlife. Severe consequences from infections include congenital malformations as well as arthritogenic, haemorrhagic or neuroinvasive disease. Inactivated or live-attenuated vaccines (LAVs) are available for a small number of arboviruses; however there are no licensed vaccines for the majority of these infections. Here we discuss recent developments in pan-arbovirus LAV approaches, from site-directed attenuation strategies targeting conserved determinants of virulence to universal strategies that utilize genome-wide re-coding of viral genomes. In addition to these approaches, we discuss novel strategies targeting mosquito saliva proteins that play an important role in virus transmission and pathogenesis in vertebrate hosts. For rapid pre-clinical evaluations of novel arbovirus vaccine candidates, representative in vitro and in vivo experimental systems are required to assess the desired specific immune responses. Here we discuss promising models to study attenuation of neuroinvasion, neurovirulence and virus transmission, as well as antibody induction and potential for cross-reactivity. Investigating broadly applicable vaccination strategies to target the direct interface of the vertebrate host, the mosquito vector and the viral pathogen is a prime example of a One Health strategy to tackle human and animal diseases.
High summer temperatures will become the norm as global warming intensifies due to massive energy consumption and greenhouse gas emissions. High-temperature environments will seriously threaten the health of outdoor workers. It is urgent to adopt new technologies to solve the problem of reducing the thermal stress of workers in an extremely hot environment. Herein, phase change material (PCM) and radiative sky cooling technology were combined and prepared successfully a new kind of flexible composite phase change material (CPCM) with paraffin wax (PW), polypropylene hollow fiber (PP fiber) and Linear styrene-b-(ethylene-co-butylene)-b-styrene triblock copolymer with 30 wt% styrene (SEBS). Compared with the traditional end sealing technology, the melted SEBS can close the end of the fiber easily and cost-effectively. The novel material (10PP) has a high enthalpy of 180.01 J/g, and the thermal conductivity is as low as 0.26 W/ (m center dot K), the low thermal conductivity of CPCM reduces the transfer of heat from the outside to the inside. Tensile strength is 3.89 MPa, the maximum force that 10PP can withstand reaches 147 N, and the contact angle for the hydrophobicity test is 114.8 degrees, which provides a guarantee for the wide application of the new material in an outdoor environment. Besides, the optical test shows an emissivity (atmospheric window) of 0.955, and the extremely high emissivity facilitates radiative cooling of the material at night. On a clear day, the average temperature difference and maximum temperature difference between 10PP and the environment are 6.403 degrees C and 13.414 degrees C respectively. In the simulation experiment of the tent, when the external temperature reaches 60 degrees C, the surface temperature
The ongoing pandemic and increasing frequency of infectious disease outbreaks due to climate change, urbanization, and global human migration have put great focus on nucleic acid amplification-based diagnostic technologies (NAAT). These methods can provide gold standard accuracy and sensitivity, and their widespread availability at the point-of-care is crucial for managing the spread of pathogens in human and animal populations, as well as for environmental surveillance. However, so far the reach of NAAT-based platforms has mostly remained limited to centralized facilities in the hand of trained workers, causing great distress in times of need. In this review, the current state-of-the-art research, as well as, commercial diagnostic products, is highlighted, their performances are discussed, and the role of academic-industrial collaborations in developing the next generation of breakthrough technologies is emphasized. It is envisioned that with these collaborations, the next generation of autonomous, affordable, and mobile NAAT devices can be developed, for a broad range of targets, and for providing truly democratized access to NAAT diagnostics for the global population in the future.
BACKGROUND: Decreasing emissions of the global healthcare sector will be an important tool for decreasing the magnitude of climate change. The environmental practices of nurses can have a positive environmental impact. The purpose of this study is to identify environmental practices performed by nurses while at work and home along with their associated factors. METHODS: This study is a cross-sectional descriptive study conducted by surveying nurses from two public hospitals in Lambayeque, Peru. We utilized the Nurses’ Environmental Awareness Tool to collect information about nurses’ knowledge on environmental impacts, their risk to health, and environmental behaviors at both work and home. RESULTS: Of the 106 participants who responded, the average age was 41 years, and 29 (28%) worked in surgical services. A little more than half of nurses reported appropriate energy use (51%) and recycling (53%) at work, while 94 (89%) implemented environmental biosafety. There was an observed association between age and years of employment with appropriate energy use, recycling, implementation of environmental biosafety, appropriate chemical substance use, and preventing medication waste. CONCLUSION: Nurses reported a favorable tendency toward adequate environmental practices at work and at home. However, more studies are needed to identify the factors that increase nurses’ use of these practices. APPLICATIONS TO PRACTICE: As one of the most trusted professions, professional nurses have an opportunity to play a pivotal role in promoting environmental health and practices in both the workplace and their personal lives. This study highlights areas of potential intervention in the workplace to develop and promote appropriate environmental practices by nurses to decrease pollution by the healthcare sector.
Background: Climate change represents a serious threat to the health of the population. Nurses are the ideal group to act on the health risks posed by climate change. However, their perception of this phenomenon is unknown, as existing studies are very scarce. An in-depth study of nurses’ perceptions of climate change is needed. For this purpose, qualitative research is the best alternative. Objective: To understand nurses’ perceptions of their role as health assets in relation to climate change. Methods: A qualitative study will be carried out. The sample will be selected by means of purposive sampling with a maximum variation approach and will be defined by the data saturation criterion and will include nurses from different health units and regions of Spain. Semistructured interviews will be conducted using a videoconferencing platform. The interviews will be transcribed and analysed by several researchers using the logic of a three-step thematic analysis. Discussion: The results of this study will provide for the first time a clear, in-depth, and representative picture of Spanish nurses’ perceptions of climate change. This is essential for the development of concrete measures through which nurses become real health assets in the face of climate change.
BACKGROUND: Climate change is a major threat to human health. Nurses are in contact with patients suffering from the effects of climate change in their daily work. Therefore, they need to be involved in combating it at both the individual and collective levels. However, there is still very little known about nurses’ perception of climate change and their role toward it. A few recent studies have embarked on the process of examining the perceptions of these health professionals relative to climate change, but no exploratory review of the literature has been conducted on nurses’ perception of this phenomenon. OBJECTIVE: The purpose of this protocol is to develop a research strategy for an exploratory review of the literature focused on identifying nurses’ perceptions of climate change. METHODS: Firstly, with the help of a specialized librarian, we defined keywords and their combinations, using an iterative process, to develop a documentary search strategy. This strategy was tested in the following four bibliographic databases: MEDLINE (PubMed), CINAHL, Embase, and Web of Science. A search of the grey literature will also be conducted to supplement the results of the bibliographic database search. The next step will be for 2 members of the research team to carry out a 2-stage selection process using the web-based systematic review software Covidence. They will carry out this selection process independently, with the aim of identifying relevant studies that meet the inclusion criteria for our exploratory review. Finally, data on year of publication, authors, geographic area, article type, study objectives, methodology, and key findings will be extracted from selected articles for analysis. The data will be analyzed by the research team based on an in-depth examination of the findings and will be directed toward answering the research question and fulfilling the study’s objective. RESULTS: The results will help in defining nurses’ perceptions of climate change more clearly as well as the role they can play and what they need to be able to bring forward solutions to this phenomenon. The findings should also serve to guide the health sector and nursing faculty’s interventions aimed at preparing health professionals to act on the potential threats associated with climate change. CONCLUSIONS: The preliminary search suggests a possible gap between the importance of the nursing role in addressing the health impacts of climate change and the nurses’ lack of knowledge and awareness on this matter. The results will allow for raising nurses’ awareness of their role in the fight against climate change and the ways to address its health effects. This study will also open up new research perspectives on how to equip nurses to better integrate response to climate change issues into their professional practice. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/42516.
OBJECTIVE: Nurses are well positioned to play an integral role in the mitigation of climate change and climate-driven vector-borne diseases, however, they lack awareness and knowledge about their role. The purpose of this scoping review was to map existing literature on nurses’ perceptions, knowledge, attitudes, and experiences with vector-borne diseases, specifically Lyme disease and West Nile virus. DESIGN: A scoping review was conducted using Joanna Briggs Institute (JBI) scoping review methodology. CINAHL, ProQuest Nursing & Allied Health Premium, MEDLINE, APA PsycINFO, ProQuest Dissertations & Theses, and Web of Science were searched for English-language publications. The PRISMA-ScR was used. After initial screening as per study protocol, a total of 33 items were reviewed independently by four reviewers. RESULTS: Thirty-three articles, including seven sources from grey literature, met the criteria for this scoping review. Results were mapped according to the five domains of the Guidelines for Undergraduate Nursing Education on Climate-Driven Vector-Borne Diseases. CONCLUSIONS: Findings from the review indicate that nurses play a role in climate-related health effects and should be knowledgeable about vector-borne diseases. However, scant literature exists on nurses’ knowledge, perceptions, attitudes toward vector-borne diseases, and practice readiness, signifying a need for further research on this emerging topic.
Healthcare systems in many Organization for Economic Cooperation and Development Countries (OECD) are ill prepared for minimizing the risks and withstanding the impacts of natural disasters caused by climate change. In the 21st century, all nursing specialties will be affected by escalating natural disasters as practice is adapted for the Anthropocene. This rapid review defines the current evidence base of nurses’ experiences during “natural” disasters. Nurses are providing professional services during “natural” disasters, however, are often personal victims of the events. Nurses report being ill equipped with disaster knowledge and for working with damaged infrastructure during extreme weather events. This challenges their capacity to pro-vide clinical decision-making and leadership under uncertainty. These lessons learned should be translated into education resources that better prepare nurses for climate crisis nursing in the Anthropocene. & COPY; 2023 Organization for Associate Degree Nursing. Published by Elsevier Inc. All rights reserved.
Considering that the public health sector has been considered as a key stakeholder in climate action, it seems important to understand what interventions are carried out globally by trusted professionals such as nurses engaged in health promotion and environmental health in optimizing the health of individuals, families, and communities toward the dissemination of lifestyle decarbonization and guidance on healthier climate-related choices. The objective of this review was to understand the extent and type of evidence related to the community-based interventions of nurses that are being led or have been implemented thus far with the aim of reducing the health risks from climate change impact in urban areas. The present protocol follows the JBI methodological framework. Databases to be searched include PubMed, MEDLINE complete, CINAHL, Scopus, Embase, Web of Science, SciELO (Scientific Electronic Library Online), and BASE (Bielefeld Academic Search Engine). Hand searched references were also considered for inclusion. This review will include quantitative, qualitative, and mixed methods studies from 2008 onwards. Systematic reviews, text, opinion papers, and the gray literature in English and Portuguese were also considered. Mapping the nurse led interventions or those that have been implemented thus far in urban areas may lead to further reviews that may help identify the best practices and gaps within the field. The results are presented in tabular format alongside a narrative summary.
AimTo identify and synthesize research on the awareness, attitudes and action related to sustainability and climate change from the perspective of nursing students and educators globally.DesignIntegrative review.MethodsThe review was guided by Whittemore and Knafl. Included studies were appraised using the Mixed Methods Appraisal Tool. A deductive content analysis based on Elo and Kyngas’ methodology was employed.Data SourcesCINAHL, MEDLINE, EMBASE, Web of Science, British Education Index, GreenFILE and Scopus were searched up to the 8th November 2022.ResultsThirty-two studies were included in the review. Two studies included nursing educators in their samples, the rest focused solely on students. Findings suggest that whilst some students were aware of sustainability issues and felt that nurses have a responsibility to mitigate climate change, others showed limited awareness and believed that nurses have more important priorities. A global interest was seen among students for increased curricular content related to sustainability and climate change. Waste management and education of others were suggested actions students can take; however, barriers included lack of confidence and limited power.ConclusionThere is a need for sustainability education within nursing curricula, accompanied by student support.Implications for the ProfessionThe review acts as a starting point to make sustainable healthcare and climate change mitigation integral aspects of nursing.ImpactSustainability education within nursing curricula can positively impact on sustainable healthcare and climate change mitigation. More research is needed on the perspectives of nursing educators.Reporting MethodThe review is reported according to the PRISMA guidelines.Patient or Public ContributionNo Patient or Public Contribution.
Plants are used by almost 80% of the world’s population for health and healing, and medicinal and aromatic plants account for 25% of all integrated pharmaceuticals. Moringa oleifera is a multi-purpose herbal plant that is utilized as a portion of human food and a therapeutic alternative all over the world. According to studies, it has been discovered as a plant with a wide range of health benefits, including nutritional and medicinal characteristics. It can live on nutrient-depleted soils and is drought-resistant, and it flourishes in wet tropics and scorching dry regions. With a pH of 5.0-9.0, a minimum annual rainfall need of 250 mm, and a maximum annual rainfall demand of over 3000 mm, it can endure a wide variety of rainfall. Moringa is a plant that can aid in the fight against climate change. Moringa’s ability to respond to water stress and its tolerance to it were investigated in this study. Moringa is used in traditional medicine all over the world for a variety of ailments, including skin infections, anemia, anxiety, asthma, blood impurities, bronchitis, chest congestion, cholera, infections, fever, glandular, swelling, headaches, abnormal blood pressure, hysteria, pain in joints, pimples, psoriasis, respiratory disorders, scurvy, semen deficiency, sore throat, sprain, tuberculosis, for intestinal worms, lactation, diabetes, and pregnancy. Moringa oil is prized in the cosmetic business because of its unique properties. Moringa oil is light and easily absorbed by the skin. It is ideal for massage and aromatherapy purposes. Although M. oleifera’s nutritional value is lower than that claimed by popular nutritional claims, its abundance in food-insecure areas and wide range of nutrients keep it viable as a nutritious food source for populations in low- and middle-income countries. Malnutrition, which includes undernutrition, micronutrient deficiency, and overnutrition, is more widespread than hunger per se and affects most nations around the world. The diversity and quality of food produced and consumed are crucial in reducing the triple burden of malnutrition. In this climate, fruit, vegetables, and nuts are quickly becoming the focus of the nutrition community. Moringa’s diet is higher in polyunsaturated fatty acids (PUFAs) than in saturated fatty acids (SFAs).
As our planet warms, a critical research question is when and where temperatures will exceed the limits of what the human body can tolerate. Past modeling efforts have investigated the 35°C wet-bulb threshold, proposed as a theoretical upper limit to survivability taking into account physiological and behavioral adaptation. Here, we conduct an extreme value theory analysis of weather station observations and climate model projections to investigate the emergence of an empirically supported heat compensability limit. We show that the hottest parts of the world already experience these heat extremes on a limited basis and that under moderate continued warming parts of every continent, except Antarctica, will see a rapid increase in their extent and frequency. To conclude, we discuss the consequences of the emergence of this noncompensable heat and the need for incorporating different critical thermal limits into heat adaptation planning.
As climate change intensifies, Inuvialuit in Canada’s Western Arctic are facing a rapidly changing environment and associated impacts on human health, safety, and food security. Learning to cope with these changes requires context-based and current information that can inform subsistence activities and environmental management, and no one is better positioned to acquire this information than Inuvialuit themselves. This paper presents findings from in-depth interviews conducted in 2012 with six knowledge holders and seasonal residents of Kendall Island (Ukiivik in Uummarmiutun), a traditional whaling camp situated along the Beaufort Sea coast bordering the Okeevik Tarium Niryutait Marine Protected Area. A transdisciplinary and Inuvialuit-led effort, this research documents observations of change at this culturally important site and explores how residents are adapting to changing conditions. Interview transcripts were analyzed using iterative rounds of qualitative coding in NVivo software. Findings reveal pervasive social and environmental change on Kendall Island and in adjacent harvesting areas and highlight how changing conditions are affecting residents’ lives. This study identifies benchmarks upon which to compare and evaluate subsequent changes at this site and documents Inuvialuit knowledge and perspectives that can inform local-scale environmental monitoring, management, and climate change adaptation planning.
Nature-based solutions including urban forests and wetlands can help communities cope better with climate change and other environmental stressors by enhancing social-ecological resilience. Natural ecosystems, settings, elements and affordances can also help individuals become more personally resilient to a variety of stressors, although the mechanisms underpinning individual-level nature-based resilience, and their relations to social-ecological resilience, are not well articulated. We propose ‘nature-based biopsychosocial resilience theory’ (NBRT) to address these gaps. Our framework begins by suggesting that individual-level resilience can refer to both: a) a person’s set of adaptive resources; and b) the processes by which these resources are deployed. Drawing on existing nature-health perspectives, we argue that nature contact can support individuals build and maintain biological, psychological, and social (i.e. biopsychosocial) resilience-related resources. Together with nature-based social-ecological resilience, these biopsychosocial resilience resources can: i) reduce the risk of various stressors (preventive resilience); ii) enhance adaptive reactions to stressful circumstances (response resilience), and/or iii) facilitate more rapid and/or complete recovery from stress (recovery resilience). Reference to these three resilience processes supports integration across more familiar pathways involving harm reduction, capacity building, and restoration. Evidence in support of the theory, potential interventions to promote nature-based biopsychosocial resilience, and issues that require further consideration are discussed.
Nature-based Solutions (NBS) can improve urban areas’ livability, and they are essential to increase cities’ resilience to anthropogenic activities and climate change. In addition, NBS can also improve biodiversity and they can supply a wide range of ecosystem services (ES) fundamental to improving food security, health, and well-being. Nevertheless, NBS can in-crease numerous ecosystem disservices (EDS) (e.g., erosion) that need to be considered when these infrastructures are planned. Several NBS are also threatened by numerous pressures (e.g., urban sprawl, pollution, climate change), decreasing their ability to supply ES and may increase the EDS from these areas. The NBS degradation and their poor condition reduce their capacity to supply ES, hampering their purpose. It is vital to reduce pressures on NBS, and when planned, the EDS supplied need to be considered.
Awareness of environmental problems such as climate change can motivate action, but educators debate whether to raise students’ awareness given that it may provoke eco-anxiety. We have even less understanding of how these relationships are affected by young people’s growing disconnection from nature. Through 28 semi-structured interviews in Canada and the United Kingdom, we explore how educators perceive students’ nature connection and eco-anxiety and how they introduce discussion of environmental problems. Educators frequently observed experiential, cognitive, and emotional indicators of nature disconnection and eco-anxiety, although many (39%) reported rarely, if ever, witnessing such environmentally related distress. Educators prioritised improving nature connection over raising awareness of environmental problems. When they discuss these issues with students, they emphasise hope and encourage pro-environmental behaviours to avoid eliciting eco-anxiety for those not currently experiencing it, a strategy that is partially inconsistent with literature suggesting some eco-anxiety can nurture pro-environmental behaviour. Our findings provide new insights into the challenges that educators face in helping their students navigate current environmental trends.
In recent years, the environmental impacts of climate change have become increasingly evident. Extreme meteorological events are influenced by climate change, which also alter the magnitude and pattern of precipitations and winds. Climate change can have a particularly negative impact on respiratory health, which can lead to the emergence of asthma and allergic respiratory illnesses. Pollen is one of the main components of the atmospheric bioaerosol and is able to induce allergic symptoms in certain subjects. Climate change affects the onset, length, and severity of the pollen season, with effects on pollen allergy. Higher levels of carbon dioxide (CO2) can lead to enhanced photosynthesis and a higher pollen production in plants. Pollen grains can also interact with air pollutants and be affected by thunderstorms and other extreme events, exacerbating the insurgence of respiratory diseases such as allergic rhinitis and asthma. The consequences of climate change might also favor the spreading of pandemics, such as the COVID-19 one.
Nitrate contamination in groundwater poses a significant threat to water quality and public health, especially in regions with limited data availability. This study addresses this challenge by employing machine learning (ML) techniques to predict nitrate (NO(3)(-)-N) concentrations in Mexico’s groundwater. Four ML algorithms-Extreme Gradient Boosting (XGB), Boosted Regression Trees (BRT), Random Forest (RF), and Support Vector Machines (SVM)-were executed to model NO(3)(-)-N concentrations across the country. Despite data limitations, the ML models achieved robust predictive performances. XGB and BRT algorithms demonstrated superior accuracy (0.80 and 0.78, respectively). Notably, this was achieved using ∼10 times less information than previous large-scale assessments. The novelty lies in the first-ever implementation of the ‘Support Points-based Split Approach’ during data pre-processing. The models considered initially 68 covariates and identified 13-19 significant predictors of NO(3)(-)-N concentration spanning from climate, geomorphology, soil, hydrogeology, and human factors. Rainfall, elevation, and slope emerged as key predictors. A validation incorporated nationwide waste disposal sites, yielding an encouraging correlation. Spatial risk mapping unveiled significant pollution hotspots across Mexico. Regions with elevated NO(3)(-)-N concentrations (>10 mg/L) were identified, particularly in the north-central and northeast parts of the country, associated with agricultural and industrial activities. Approximately 21 million people, accounting for 10 % of Mexico’s population, are potentially exposed to elevated NO(3)(-)-N levels in groundwater. Moreover, the NO(3)(-)-N hotspots align with reported NO(3)(-)-N health implications such as gastric and colorectal cancer. This study not only demonstrates the potential of ML in data-scarce regions but also offers actionable insights for policy and management strategies. Our research underscores the urgency of implementing sustainable agricultural practices and comprehensive domestic waste management measures to mitigate NO(3)(-)-N contamination. Moreover, it advocates for the establishment of effective policies based on real-time monitoring and collaboration among stakeholders.
Current understanding of how the cropland nitrogen cycle will respond to elevated atmospheric CO2 is limited. By modelling global nitrogen budgets under elevated CO2 and providing a monetized impact assessment, this study shows the synergistic effects of elevated CO2 alone on global croplands. Croplands are the foundation of global food security and represent the largest nitrogen flows on Earth. Elevated atmospheric CO2 levels are a key driver of climate change with multiple impacts on food production and environmental sustainability. However, our understanding of how the cropland nitrogen cycle responds to elevated CO2 levels is not well developed. Here we demonstrate that elevated CO2 (eCO(2)) alone would induce a synergistic intensification of the nitrogen and carbon cycles, promoting nitrogen-use efficiency by 19% (95% confidence interval, 14-26%) and biological nitrogen fixation by 55% (95% confidence interval, 28-85%) in global croplands. This would lead to increased crop nitrogen harvest (+12 Tg yr(-1)), substantially lower fertilizer input requirements (-34 Tg yr(-1)) and an overall decline in reactive nitrogen loss (-46 Tg yr(-1)) under future eCO(2) scenarios by 2050. The impact of eCO(2) on the altered cropland nitrogen cycle would amount to US$668 bn of societal benefits by avoiding damages to human and ecosystem health. The largest benefits are expected to materialize in China, India, North America and Europe. It is paramount to incorporate the effect of rising CO2 on the nitrogen cycle into state-of-the-art Earth system models to provide robust scientific evidence for policymaking.
The consequences of climate change are becoming increasingly visible. Recent research suggests that people may respond to climate change and its predicted consequences with a specific anxiety. Yet, little is known about potential antecedents of climate anxiety. The current study aimed to understand the contribution of climate risk perception to climate anxiety, along with nature-connectedness, self-efficacy, and political orientation. With a sample of 204 German adults, we assessed these constructs together with environmental policy support that may result from climate anxiety. Stronger risk perception and a left political orientation predicted climate anxiety. Self-efficacy and nature connectedness, however, were unrelated to climate anxiety. In line with previous studies, climate anxiety correlated positively with environmental policy support but did not predict environmental policy support when controlling for climate risk perception. We discuss results with regard to further developing the concept of climate anxiety and its dynamics and suggest directions for future research.
Respiratory diseases of infectious, allergic, neoplastic or degenerative origin are due to the interaction of environmental and occupational risk factors, individual susceptibility and other co-factors and comorbidities. Asthma and other respiratory pathologies can be worsened by climate change and exposure to other agents in occupational environments.PubMed and Scopus, and several websites on public and occupational health were queried to find publications and documents on work-related respiratory diseases, asthma, rhinitis, chronic obstructive pulmonary disease (COPD), pneumoconiosis and allergic alveolitis in association with climate change. Most of the retrieved articles concerned asthma (75 in Scopus), while the other topics were less frequently covered in the scientific literature, with a maximum of 29 papers for rhinitis and 23 for COPD. The most important terms highlighted by the word clouds were ‘health’, ‘air’, ‘pollution’, and, only for asthma and rhinitis, ‘pollen’ and ‘allergic/allergy’. Website data on public and occupational health, and climate change were reported. Assessment and management of respiratory diseases that recognise occupational exposures should be improved, and more research into integrated approaches should be favoured. Health surveillance practices for workers exposed to agents that cause respiratory diseases should be implemented. The development of biomarkers of exposure, effect and susceptibility needs further study.
Ambient temperatures trigger hospitalisation, mortality, and emergency department visits for myocardial infarction (MI). However, nonoptimum temperature-related risks of fatal and nonfatal MI have not yet been compared. From 2007 to 2019, 416,894 MI events (233,071 fatal and 183,823 nonfatal) were identified in Beijing, China. A time-series analysis with a distributed-lag nonlinear model was used to compare the relative and population-attributable risks of fatal and nonfatal MI associated with nonoptimum temperatures. RESULTS: The reference was the optimum temperature of 24.3°C. For single-lag effects, cold (-5.2°C) and heat (29.6°C) effects had associations that persisted for more days for fatal MI than for nonfatal MI. For cumulative-lag effects over 0 to 21 days, cold effects were higher for fatal MI (relative risk [RR] 1.99, 95% confidence interval [CI] 1.68-2.35) than for nonfatal MI (RR 1.60, 95% CI 1.32-1.94) with a P value for difference in effect sizes of 0.048. In addition, heat effects were higher for fatal MI (RR 1.33, 95% CI 1.24-1.44) than for nonfatal MI (RR 0.99, 95% CI 0.91-1.08) with a P value for difference in effect sizes of 0.002. The attributable fraction of nonoptimum temperatures was higher for fatal MI (25.6%, 95% CI 19.7%-30.6%) than for nonfatal MI (19.1%, 95% CI 12.1%-25.0%). Fatal MI was more closely associated with nonoptimum temperatures than nonfatal MI, as evidenced by single-lag effects that have associations which persisted for more days, higher cumulative-lag effects, and higher attributable risks for fatal MI. Strategies are needed to mitigate the adverse effects of nonoptimum temperatures.
OBJECTIVE: To evaluate lag-response associations and effect modifications of exposure to floods with risks of all cause, cardiovascular, and respiratory mortality on a global scale. DESIGN: Time series study. SETTING: 761 communities in 35 countries or territories with at least one flood event during the study period. PARTICIPANTS: Multi-Country Multi-City Collaborative Research Network database, Australian Cause of Death Unit Record File, New Zealand Integrated Data Infrastructure, and the International Network for the Demographic Evaluation of Populations and their Health Network database. MAIN OUTCOME MEASURES: The main outcome was daily counts of deaths. An estimation for the lag-response association between flood and daily mortality risk was modelled, and the relative risks over the lag period were cumulated to calculate overall effects. Attributable fractions of mortality due to floods were further calculated. A quasi-Poisson model with a distributed lag non-linear function was used to examine how daily death risk was associated with flooded days in each community, and then the community specific associations were pooled using random effects multivariate meta-analyses. Flooded days were defined as days from the start date to the end date of flood events. RESULTS: A total of 47.6 million all cause deaths, 11.1 million cardiovascular deaths, and 4.9 million respiratory deaths were analysed. Over the 761 communities, mortality risks increased and persisted for up to 60 days (50 days for cardiovascular mortality) after a flooded day. The cumulative relative risks for all cause, cardiovascular, and respiratory mortality were 1.021 (95% confidence interval 1.006 to 1.036), 1.026 (1.005 to 1.047), and 1.049 (1.008 to 1.092), respectively. The associations varied across countries or territories and regions. The flood-mortality associations appeared to be modified by climate type and were stronger in low income countries and in populations with a low human development index or high proportion of older people. In communities impacted by flood, up to 0.10% of all cause deaths, 0.18% of cardiovascular deaths, and 0.41% of respiratory deaths were attributed to floods. CONCLUSIONS: This study found that the risks of all cause, cardiovascular, and respiratory mortality increased for up to 60 days after exposure to flood and the associations could vary by local climate type, socioeconomic status, and older age.
This article employs new materialist theory to the accounts of women who were pregnant, giving birth or parenting new-borns during the Australian bushfires of 2019/2020. As feminist scholars we are concerned with the inequitable responsibility accorded to women during this time to limit their (un)born children’s exposure to smoke. Drawing on Barad’s (2007) relational ontology we trace how (non)human phenomena like ‘smoke’, ‘public health advice’ and discourses of ‘the good mother’ work intra-actively to establish conditions of possibility in relation to mother’s agency and responsibility in this crisis. Via in-depth interviews with 25 women, we discovered these coagulating forces meant many experienced feelings of ‘powerlessness’ and subsequent ‘guilt’ at their inability to prevent smoke inhalation for their (un)born children. To challenge this burden of responsibility, we (re)configure conventional notions of ‘agency’ and ‘responsibility’ within a new materialist frame. When agency is understood as an intra-active becoming and response-ability as preceding the subject, responsibility for the air shifts to a recognition that everyone/thing is complicit in the world’s differential becoming. We extend this thinking to consider human response-ability and agency in relation to the climate change that has been attributed to causing the fires.
Children cope with high temperatures differently than adults do, largely because of slight alterations in their body proportions and heat loss mechanisms compared to fully mature humans. Paradoxically, all current tools of assessing thermal strain have been developed on adults. As the Earth’s warming continues to accelerate, children are set to bear the health risk brunt of rising global temperatures. Physical fitness has a direct impact on heat tolerance, yet children are less fit and more obese than ever before. Longitudinal research reveals that children have 30% lower aerobic fitness than their parents did at the same age; this deficit is greater than can be recovered by training alone. So, as the planet’s climate and weather patterns become more extreme, children may become less capable of tolerating it. This comprehensive review provides an outline of child thermoregulation and assessment of thermal strain, before moving to summarize how aerobic fitness can modulate hyperthermia, heat tolerance, and behavioral thermoregulation in this under-researched population. The nature of child physical activity, physical fitness, and one’s physical literacy journey as an interconnected paradigm for promoting climate change resilience is explored. Finally, future research foci are suggested to encourage continued exploration of this dynamic field, notable since more extreme, multifactorial environmental stressors are expected to continue challenging the physiological strain of the human population for the foreseeable future.
Although developed countries have been historically responsible for causing climate change, developing countries are more vulnerable to its current and future effects and being asked to commit to levels of climate action that exceed their responsibilities and capabilities. Climate change exacerbates existing social inequities by disproportionately impacting certain groups (including women, racial minorities, and the poor) more than others. Powerful institutions such as the government and the academy have a responsibility to alter this course and advance climate justice but are themselves marred by inequities. Given these disparities, the question of how the burden of climate change mitigation should be justly distributed amongst stakeholders is of paramount importance to international and domestic climate negotiations. Insights from the social identity and group processes literatures explain how experiences of inequity along geographical and sociodemographic dimensions generate identities and groups. As group members, people are sensitive to threats to the ingroup, experience collective emotions on behalf of the group, and differentially apply morality to in- versus outgroups. Members are also incentivized to protect and further their group’s interests relative to outgroups. Social psychology offers some promising avenues of research for potential solutions to mitigate the multilevel intergroup conflict posing as a barrier to climate justice. Climate governance recommendations to policymakers and negotiators include incentivizing integrative solutions and fully considering the justice implications of climate policy. Climate scholars are encouraged to pursue interdisciplinary collaborations, improve diversity within the academy and in research samples, and prioritize climate adaptation in developing contexts.This article is categorized under:Climate, History, Society, Culture > Disciplinary PerspectivesClimate, Nature, and Ethics > Climate Change and Global Justice
INTRODUCTION: Growing evidence suggests that climate change-related extreme weather events adversely impact maternal and child health (MCH) outcomes, which requires effective, sustainable and culturally appropriate interventions at individual, community and policy levels to minimise these impacts. This scoping review proposes to map the evidence available on the type, characteristics and outcomes of multilevel interventions implemented as adaptational strategies to protect MCH from the possible adverse effects of climate change. METHODS: The following databases will be searched: Embase, MEDLINE, Emcare, EPPI-Centre database of health promotion research (BiblioMap) EPPI-Centre Database for promoting Health Effectiveness Reviews (DoPHER), Global Health, CINAHL, Joanna Briggs Institute EBP Database, Maternity and Infant Care Database, Education Resource Information Center, PsycINFO, Scopus, Web of Science and Global Index Medicus, which indexes Latin America and the Caribbean, Index Medicus for the South-East Asia Region, African Index Medicus, Western Pacific Region Index Medicus. Cochrane Central Register of Controlled Trials, WHO International Clinical Trials Registry Platform, ClinicalTrials.gov, conference proceedings, thesis and dissertations, policy and guidelines and their reference lists will also be searched. Two reviewers will independently screen titles and abstracts and full text based on predefined eligibility criteria. The Preferred Reporting Items for Systematic Reviews and Meta-analyses Extension for Scoping Reviews using the Population, Concept and Context framework and the Template for Intervention Description and Replication checklist will be used to structure and report the findings. ETHICS AND DISSEMINATION: Ethics permission to conduct the scoping review is not required as the information collected is publicly available through databases. Findings will be disseminated through a peer-reviewed publication and conference presentations.
PURPOSE OF REVIEW: The climate change (CC) or global warming (GW) modifies environment that favors vectors’ abundance, growth, and reproduction, and consequently, the rate of development of pathogens within the vectors. This review highlights the threats of GW-induced vector-borne diseases (VBDs) in Southern Europe (SE) and the need for mitigation efforts to prevent potential global health catastrophe. RECENT FINDINGS: Reports showed astronomical surges in the incidences of CC-induced VBDs in the SE. The recently (2022) reported first cases of African swine fever in Northern Italy and West Nile fever in SE are linked to the CC-modified environmental conditions that support vectors and pathogens’ growth and development, and disease transmission. SUMMARY: VBDs endemic to the tropics are increasingly becoming a major health challenge in the SE, a temperate region, due to the favorable environmental conditions caused by CC/GW that support vectors and pathogens’ biology in the previously non-endemic temperate regions.
The EU, seeking to be a global leader in the fight against climate change, is moving ahead with ambitious policies to mitigate greenhouse gases emissions. In this context, the Fit for 55 package (FF55) is a set of proposals to revise and update EU legislation, to ensure that policies are in line with the climate goals of cutting emissions by at least 55% by 2030. Whilst these policies are designed for climate purposes, they will have positive side-effects (co-benefits) on air quality. Separately, additional policies are also in place to reduce emissions of related air pollutants and to improve air quality concentrations on EU territory. In this work, through a modelling study, we analyse the benefits of these policies via the health benefits arising from the resulting reductions in yearly average PM2.5 concentrations. Results are analysed by assessing and comparing morbidity and mortality impacts as computed using both the HRAPIE (Health risks of air pollution in Europe, WHO, as implemented in the CaRBonH model) and the GBD (Global Burden of Disease, as implemented in FASST-GBD model) approaches. Even when considering the uncertainty and variability in the results obtained using the two approaches, it is clear that EU policies can bring health and economic benefit in EU, with several Billions of Euro of benefits both in terms of morbidity and mortality indicators.
Due to climate change, the intensity, duration and frequency of heatwaves are likely to increase in the coming years. Excessive heat events can increase local urban heat island intensity affecting the health and wellbeing of urban dwellers vulnerable to heat stress. Heat-Health Warning Systems (HHWSs) have been developed to warn the public of impending heat events and to advise on preventable negative health outcomes. However, metrics upon which action triggers are made in HHWSs rely on reported critical outcomes, such as heat-related excess death. Thus, human exposure to heat is underestimated in current metrics and consequently, their capacity to prevent heat-related health risks remains uncertain, particularly indoors. This study investigates how indoor heat stress in urban dwellings at a city-scale can be modelled to enhance Heat-Health Warning and Planning. First, the effects of housing typologies on indoor thermal conditions are quantified in a local urban microclimate context. We then model the dynamic relationships between outdoor climate and indoor heat exposure to identify specific outdoor climatic thresholds as action triggers for alerting urban dwellers’ indoor heat stress. Based on urban microclimate data available for a city of Birmingham UK, a proof-of-principle study is presented. The result shows the presence of large variances in the heat-health action triggers across different housing typologies. This is further extended to consider the Birmingham climate projection scenarios provided by the UKCP18. Compared to the current UK Heat-Health Alert Service, we show how indoor heat stress warnings may look like and the implications for long-term heat-health planning.
Popular modern diets are often seen as a panacea for improving health and promoting weight reduction. While there is a large body of literature reporting the health benefits of popular diets, few studies have described their planetary benefits. Our investigation aims to evaluate the simultaneous impacts of six popular diets within the United States on both human and planetary health. Using carbon footprint databases and representative meal plans, the environmental and health-related impacts of the Standard American, Mediterranean, vegan, paleo, keto, and climatarian diets are compared using the currently available literature. Results indicate that diets that exhibit lower carbon footprints also have positive effects on human health. The diets found to have the lowest environmental impacts were the vegan, climatarian, and Mediterranean diets. These low-carbon-footprint diets can likely be attributed to a reduced reliance on ruminant meat (cattle and sheep) and processed food consumption, while diets with high carbon footprints are more dependent on ruminant meat and saturated fat. Moderate consumption of meats such as chicken, pork, and fish in conjunction with an emphasis on locally grown fruits and vegetables can be maintained without adversely affecting the planetary carbon footprint and with the added benefit of promoting good health. Thus, making simple substitutions within each individual’s diet can be advertised as an effective approach to collectively lower the environmental impact in tandem with improving health and longevity.
Food insecurity has become a pressing issue on a worldwide scale as the globe plows through a food crisis. The disastrous impact of this menace has been exacerbated by climate change, frequent conflicts, pandemic outbreaks, and the global economic recession, which have been prevalent in recent years. Although food insecurity prevails globally, it is especially critical in some regions in Africa, East and Southeast Asia, and South America. Several efforts have been made to curb food insecurity; however, none have been able to curtail it sufficiently. Genetic engineering of crops is a fast-growing technology that could be a viable tool for mitigating food insecurity. Crop varieties resistant to pests and diseases, abiotic stress, spoilage, or specific herbicides have been developed using this technology. Crops have been modified for increased yield, nutritional content, essential vitamins, and micro-mineral fortification. More intriguing is the advent of plant-derived edible vaccines, which prove equally effective and significantly affordable. However, in many countries, government policies pose a limiting factor for the acceptance of this technology. This article discusses the genetic modification of crops, highlighting its origins, methods, applications, achievements, impact, acceptance, distribution, and potential as a viable antidote to global food insecurity.
Heat acclimation/acclimatisation (HA) mitigates heat-related decrements in physical capacity and heat-illness risk and is a widely advocated countermeasure for individuals operating in hot environments. The efficacy of HA is typically quantified by assessing the thermo-physiological responses to a standard heat acclimation state test (i.e. physiological biomarkers), but this can be logistically challenging, time consuming, and expensive. A valid molecular biomarker of HA would enable evaluation of the heat-adapted state through the sampling and assessment of a biological medium. This narrative review examines candidate molecular biomarkers of HA, highlighting the poor sensitivity and specificity of these candidates and identifying the current lack of a single ‘standout’ biomarker. It concludes by considering the potential of multivariable approaches that provide information about a range of physiological systems, identifying a number of challenges that must be overcome to develop a valid molecular biomarker of the heat-adapted state, and highlighting future research opportunities.
Climate change and exposure to environmental pollutants play a key role in the onset and aggravation of allergic diseases. As different climate-dependent patterns of molecular immunoglobulin E (IgE) reactivity have been regionally described, we sought to investigate the evolving allergen exposome in distinctive allergic phenotypes and subtropical weather conditions through a Precision Allergy Molecular Diagnosis (PAMD@) model. Concurrent sensitization to several house dust mites (HDM) and storage mite molecules were broadly dominant in the investigated cohort, followed by the major cat allergen Fel d 1, and regardless of the basal allergic disease. Although a complex repertoire of allergens was recognized, a steadily increasing number of IgE binding molecules was associated with the complexity of the underlying atopic disease. Besides the highly prevalent IgE responses to major HDM allergens, Der p 21, Der p 5, and Der p 7 also showed up as serodominant molecules, especially in subjects bothered by asthma and atopic dermatitis. The accurate characterization of the external exposome at the molecular level and their putative role as clinically relevant allergens is essential to elucidate the phenotypic diversity of atopic disease in terms of personalized diagnosis and therapy.
Human thermal comfort representing the satisfaction of mind with ambient air conditions has significant effects on socioeconomic activities. Climate change is affecting thermal comfort conditions (TCCs) negatively. Therefore, it is important to estimate their past and future trends to take accurate measures for mitigation and adaptation efforts in especially urban areas. However, it is difficult to calculate TCCs for the future since they are the combined effect of several meteorological parameters on a person outdoor together with her/his own physiological characteristics, which must be evaluated individually. This study is aimed at determining the TCCs trends in the past compared to the present whilst estimating the future conditions using a new methodology in the case of Kayseri city in the Interior Anatolia Region of Turkey. As the result of the study, all the change trends considering temporal and spatial results show that thermal comfort conditions signal warmer and higher heat stress in the past and future trends. This means human thermal sensation ranges (e.g., very cold) have replaced with the next warmer range, and their spatial distribution in percentage has also changed towards warmer. Increase in the prevalence of unfavourable thermal comfort conditions causes the decrease in the liveability indicators in especially urban areas, including serious economic loses based on energy consumption, health care expenses, and efficiency of activities. It is required that both past and expected future trends be considered in the planning and design works to make cities resilient and have higher adaptive capacity to climate change.
Human monkeypox (mpox) virus is a viral zoonosis that belongs to the Orthopoxvirus genus of the Poxviridae family, which presents with similar symptoms as those seen in human smallpox patients. Mpox is an increasing concern globally, with over 80,000 cases in non-endemic countries as of December 2022. In this review, we provide a brief history and ecology of mpox, its basic virology, and the key differences in mpox viral fitness traits before and after 2022. We summarize and critique current knowledge from epidemiological mathematical models, within-host models, and between-host transmission models using the One Health approach, where we distinguish between models that focus on immunity from vaccination, geography, climatic variables, as well as animal models. We report various epidemiological parameters, such as the reproduction number, R(0), in a condensed format to facilitate comparison between studies. We focus on how mathematical modelling studies have led to novel mechanistic insight into mpox transmission and pathogenesis. As mpox is predicted to lead to further infection peaks in many historically non-endemic countries, mathematical modelling studies of mpox can provide rapid actionable insights into viral dynamics to guide public health measures and mitigation strategies.
The seasonal variations of shallow groundwater arsenic have been widely documented. To gain insight into the monthly variations and mechanisms behind high groundwater arsenic and arsenic exposure risk in different climate scenarios, the monthly probability of high groundwater arsenic in Hetao Basin was simulated through random forest model. The model was based on arsenic concentrations obtained from 566 groundwater sample sites, and the variables considered included soil properties, climate, topography, and landform parameters. The results revealed that spatial patterns of high groundwater arsenic showed some fluctuations among months under different future climate scenarios. The probability of high total arsenic and trivalent arsenic was found to be elevated at the start of the rainy season, only to rapidly decrease with increasing precipitation and temperature. The probability then increased again after the rainy season. The areas with an increased probability of high total arsenic and trivalent arsenic and arsenic exposure risk under SSP126 were typically found in the high-arsenic areas of 2019, while those with decreased probabilities were observed in low-arsenic areas. Under SSP585, which involves a significant increase in precipitation and temperature, the probability of high total arsenic and trivalent arsenic and arsenic exposure risk was widely reduced. However, the probability of high total arsenic and trivalent arsenic and arsenic exposure risk was mainly observed in low-arsenic areas from SSP126 to SSP585. In conclusion, the consumption of groundwater for human and livestock drinking remains a threat to human health due to high arsenic exposure under future climate scenarios.
Heat waves are extreme events characterized by sweltering weather over an extended period. Skillful projections of heat waves and their impacts on human mortality can help develop appropriate adaptation strategies. Here, we provide nuanced projections of heat wave characteristics and their effect on human mortality over the Eastern Mediterranean based on ERA5 reanalysis and CORDEX ensemble simulations. Heat waves were identified according to the 90th percentile threshold of the Climatic Stress Index (CSI), specifically tailored for the summer conditions in this region. We provide evidence that heat waves in the region are projected to occur seven times more often and last three times longer by the end of the 21st century (RCP8.5). We find that heat waves will become more persistent in a warmer world. Finally, we offer a conservative estimate of excess mortality in Israel based on a simple linear model. The projected changes in heat stress intensity and frequency may result in ~330 excess deaths per summer at the end of the 21st century (RCP8.5) compared to the historical baseline of ~30 heat-related deaths, particularly pronounced in the elderly (65+ years). We conclude that heat waves increasingly threaten society in the vulnerable Eastern Mediterranean. We also emphasize that true interdisciplinary regional collaborations are required to achieve adequate public health adaptation to extreme weather events in a changing climate.
Rising summer temperatures lead to heat waves and tropical nights, which can result in health problems among the population. This work examined if mortality among Viennese people has increased under such weather conditions or whether the population was able to adapt to those periods of extreme heat. Therefore, the daily climatic data of the Austrian Weather Service and the number of daily deaths in Vienna from 1998 to 2022 have been put into relation. After calculating the mean values from those data sets, we analyzed the total number of daily deaths but also the death rate per 100,000 inhabitants for the total Viennese population, for men and women. The impact of age structure on possible trends was analyzed and ruled out. The analysis showed that the mortality on days with heat events was still higher, but the mean values of daily deaths decreased over time, despite a doubling of heatwaves and tropical nights, which speaks for an adaptation to heat events by the Viennese population.
Purpose -The purpose of this paper is to investigate the effect of flood occurrence on mortality rate and life expectancy amongst 53 African countries.Design/methodology/approach: The study utilizes panel data from the period 2000-2018 on 53 African countries and system generalized method of moments (system GMM) for the analysis.Findings: The result indicates that flood occurrence causes the destruction of health facilities and the spread of diseases which reduces life expectancy. In addition, flood occurrence increases mortality rate amongst 53 African countries.Research limitations/implications-Practical implications The study recommends that governments amongst African countries should implement strategies being enshrined in Conference of Parties (COP, 2021) on climate change. This will help to reduce the level of climate change and flood occurrence.Originality/value – Previous studies focussed on the adverse effect of flood occurrence without considering the issue of life expectancy amongst African countries. This study contributes to existing empirical studies by examining the effect of flood occurrence on mortality rate and life expectancy amongst African countries.Peer review – The peer review history for this article is available at: .
Climate change represents an unprecedented threat to humanity and will be the ultimate challenge of the 21st century. As a public health consequence, the World Health Organization estimates an additional 250,000 deaths annually by 2030, with resource-poor countries being predominantly affected. Although climate change’s direct and indirect consequences on human health are manifold and far from fully explored, a growing body of evidence demonstrates its potential to exacerbate the frequency and spread of transmissible infectious diseases. Effective, high-impact mitigation measures are critical in combating this global crisis. While vaccines and vaccination are among the most cost-effective public health interventions, they have yet to be established as a major strategy in climate change-related health effect mitigation. In this narrative review, we synthesize the available evidence on the effect of climate change on vaccine-preventable diseases. This review examines the direct effect of climate change on water-related diseases such as cholera and other enteropathogens, helminthic infections and leptospirosis. It also explores the effects of rising temperatures on vector-borne diseases like dengue, chikungunya, and malaria, as well as the impact of temperature and humidity on airborne diseases like influenza and respiratory syncytial virus infection. Recent advances in global vaccine development facilitate the use of vaccines and vaccination as a mitigation strategy in the agenda against climate change consequences. A focused evaluation of vaccine research and development, funding, and distribution related to climate change is required.
Climate change threatens urban health, whether that refers to the human or environmental aspects of urban life. At the same time, initiatives of city regeneration envision alternative forms of the urban environment, where derelict spaces have the potential to be brought back to life in ways that would not compromise urban health. Regeneration processes should utilise mitigation and adaptation strategies that consider the future needs and anticipated role of cities within the context of the discourse about climate change, accounting for expected and unforeseen impacts and regarding the city as an agent of action rather than a static territory, too complex to change. Nevertheless, literature implicating these three parameters synchronously, namely, climate change, cities, and health, has been scarce. This study aims to fill this gap through a systematic literature review, exploring climate change adaptation and mitigation strategies that can be employed in urban regeneration efforts seeking to mitigate climate-exacerbated phenomena and their impacts on urban health as well as identifying the main trends and opportunities overlooked. Findings show that even though the emphasis is given to the physical actions and impacts of climate change and urban health, an emerging theme is a need to engage civic society in co-designing urban spaces. Synergistic relationships, collaborations and avoidance of lock-in situations appear to be the most significant subtopics emerging from this literature review. One main recommendation is the pro-motion of a community-driven, inclusive, participatory approach in regeneration projects. That will ensure that different vulnerabilities can be adequately addressed and that diverse population groups will have equitable health benefits.
Urban development and its climatic consequences have caused urban decision-makers to establish strategies to mitigate climate change. The implementation of different green spaces is one of the main strategies to reduce the environmental and climatic consequences of urbanization. Therefore, the main objective of this research is to reveal the effect of different green space scenarios on micro-bioclimatic conditions of a hospital located in Gorgan city, Golestan province. Therefore, in order to determine the position of the hospital building relative to Gorgan’s urban heat island (UHI), the location and changes in UHI intensity of Gorgan were determined as evidence of urban expansion. Since 27 July was determined as the hottest day in Gorgan city based on historical data analysis, the climatic conditions during 27 July 2021 were measured using an AR847 data logger installed in the hospital environment. Additionally, four different conditions, including actual environmental conditions of the hospital (actual conditions), along with the application of cypress trees (scenario A), plane trees (scenario B), and Buxus shrubs (scenario C), have been used to analyze the impact of different vegetation species on the bioclimatic conditions of 5 Azar Hospital during two time intervals, including observational periods (1970-2020) and the decade of the 2040s. Finally, spatiotemporal patterns of the predicted mean vote (PMV) thermal index were calculated for the observational period and during the 2040s using the ENVI-met micro-scale model. Results showed that the study site is in the UHI, which can affect the micro-bioclimatic conditions and the patient’s thermal perception. For all designed scenarios, results indicate that the average PMV index will increase by the 2040s. However, implementing different green space scenarios showed that the minimum and maximum values of PMV were found in scenario B, of 2.7. The actual PMV conditions of the studied site increased by 3.5. The scenario introduction of green spaces during the 2040s indicates that the average PMV at the hospital site will be decreased by 0.9 compared to the actual conditions. The study proves that appropriate green space strategies can reduce thermal loads occurring due to global climate change and improve the thermal conditions in the study area.
As the global population becomes more concentrated in urban environments, higher numbers of people will be exposed to urban air pollution. The environmental and human health benefits of green roofs are widely recognized. The aim of this paper is to promote green roofs as an effective passive technique for pollution mitigation and adaptation to climate change. During the heating season, the ambient concentrations of PM1, PM2.5, and PM10 were measured above a green roof and a reference roof on a school building, located in New Belgrade, the second-most populous municipality and business center of Serbia’s largest city. The percent reduction of PM10, PM2.5 and PM1, in January 2020, above the green roof compared to the reference roof was 7%, 16.6%, and 17.6%, respectively. The results show that lightweight green roof improve air quality in terms of PM concentrations for all months considered. In this paper, correlation analysis and the use of Pearson’s coefficient were used in the process of analysis to determine the relationship between PM10, PM2.5, PM1, and ambient parameters: relative humidity, ambient temperature, and wind speed. It was found that the statistical correlation expressed by the Pearson coefficient between all PM particles and wind speed was statistically significant in all observed months except September. Also, the degree of significance of the correlation between PM particles and humidity and temperature of ambient air varies by month.
INTRODUCTION: The complex interplay of multiple environmental factors and cardiovascular has scarcely been studied. Within the EXPANSE project, we evaluated the association between long-term exposure to multiple environmental indices and stroke incidence across Europe. METHODS: Participants from three traditional adult cohorts (Germany, Netherlands and Sweden) and four administrative cohorts (Catalonia [region Spain], Rome [city-wide], Greece and Sweden [nationwide]) were followed until incident stroke, death, migration, loss of follow-up or study end. We estimated exposures at residential addresses from different exposure domains: air pollution (nitrogen dioxide (NO(2)), particulate matter < 2.5 μm (PM(2.5)), black carbon (BC), ozone), built environment (green/blue spaces, impervious surfaces) and meteorology (seasonal mean and standard deviation of temperatures). Associations between environmental exposures and stroke were estimated in single and multiple-exposure Cox proportional hazard models, and Principal Component (PC) Analyses derived prototypes for specific exposures domains. We carried out random effects meta-analyses by cohort type. RESULTS: In over 15 million participants, increased levels of NO(2) and BC were associated with increased higher stroke incidence in both cohort types. Increased Normalized Difference Vegetation Index (NDVI) was associated with a lower stroke incidence in both cohort types, whereas an increase in impervious surface was associated with an increase in stroke incidence. The first PC of the air pollution domain (PM(2.5), NO(2) and BC) was associated with an increase in stroke incidence. For the built environment, higher levels of NDVI and lower levels of impervious surfaces were associated with a protective effect [%change in HR per 1 unit = -2.0 (95 %CI, -5.9;2.0) and -1.1(95 %CI, -2.0; -0.3) for traditional adult and administrative cohorts, respectively]. No clear patterns were observed for distance to blue spaces or temperature parameters. CONCLUSIONS: We observed increased HRs for stroke with exposure to PM(2.5), NO(2) and BC, lower levels of greenness and higher impervious surface in single and combined exposure models.
Objectives. Occupational activities in open spaces can experience excessive heat exposure caused by sunlight and other artificial sources in these professional environments can be one of the current and future challenges of occupational safety and health due to increasing global warming. Use of lightweight portable parasols is the first available control measure to reduce the radiation emitted by the sun in outdoor workplaces, which has been used for a long time. Methods. Due to the lack of study and results on the effect of using parasols in scientific literature, this modeling study was conducted to investigate the effect of sunshade installation on radiant temperature reduction of the sun in outdoor work using COMSOL Multiphysics version 5.5. Results. In general, six different shapes of portable parasols in different positions were modeled and the average radiant temperature reduction effectiveness (TRE) was about 30% in the presence of different parasols. The designed conical, simple and pyramidal sunshades showed the most effectiveness, respectively. Conclusions. The results show that changing variables such as the axis, installation height and shape is more effective for improving parasol efficiency to reduce the radiant temperature below it.
Unpredictable natural disasters brought by extreme climate change compound difficulties and cause a variety of systemic risks. It is thus critical to provide possibilistic scheduling schemes that simultaneously involve emergency evacuation and relief allocation. But the existing literature seldom takes emergency evacuation and relief supplies as a joint consideration, nor do they explore the impact of an unpredictable flood disaster on the scheduling scheme. A multi-stage stochastic programming model with updating information is constructed in this study, which considers the uncertainty of supply and demand, road network, and multiple types of emergency reliefs and vehicles. In addition, a fuzzy algorithm based on the objective weighting of two-dimensional Euclidean distance is introduced, through moderating an effect analysis of the fuzzy number. Computational results show that humanitarian equity for allocating medical supplies in the fourth period under the medium and heavy flood is about 100%, which has the same as the value of daily and medical supplies within the first and third period in the heavy scenarios. Based on verifying the applicability and rationality of the model and method, the result also presents that the severity of the flood and the fairness of resources is not a simple cause-and-effect relationship, and the consideration of survivor is not the only factor for humanitarian rescue with multi-period. Specifically, paying more attention to a trade-off analysis between the survival probability, the timeliness, and the fairness of humanitarian service is essential. The work provides a reasonable scheme for updating information and responding to sudden natural disasters flexibly and efficiently.
Climate-induced stressors, such as changes in temperature, salinity, and pH, contribute to the emergence of infectious diseases. These changes alter geographical constraint, resulting in increased Vibrio spread, exposure, and infection rates, thus facilitating greater Vibrio-human interactions. Multiple efforts have been developed to predict Vibrio exposure and raise awareness of health risks, but most models only use temperature and salinity as prediction factors. This study aimed to better understand the potential effects of temperature and pH on V. vulnificus and V. parahaemolyticus planktonic and biofilm growth. Vibrio strains were grown in triplicate at 25°, 30°, and 37°C in 96 well plates containing Modified Seawater Yeast Extract modified with CaCl(2) at pH’s ranging from 5 to 9.6. AMiGA software was used to model growth curves using Gaussian process regression. The effects of temperature and pH were evaluated using randomized complete block analysis of variance, and the growth rates of V. parahaemolyticus and V. vulnificus were modeled using the interpolation fit on the MatLab Curve Fitting Toolbox. Different optimal conditions involving temperature and pH were observed for planktonic and biofilm Vibrio growth within- and between-species. This study showed that temperature and pH factors significantly affect Vibrio planktonic growth rates and V. parahaemolyticus biofilm formation. Therefore, pH effects must be added to the Vibrio growth modeling efforts to better predict Vibrio risk in estuarine and coastal zones that can potentially experience the cooccurrence of Vibrio and harmful algal bloom outbreak events.
Vibrio parahaemolyticus is a halophilic gram-negative bacterium commonly found in marine environments, particularly in warm coastal waters. This pathogen has been reported as a common cause of foodborne illness associated with the consumption of raw or undercooked seafood. The presence and density of this bacterium in seafood are often associated with the climatological conditions of the marine environment. Herein, we developed the quantitative risk assessment model for Vibrio parahaemolyticus in oysters in Taiwan by considering seasonal variations, time periods, climate change scenarios, and post-harvest interventions. This study showed that season, time period, shared socioeconomic pathway (SSP), and post-harvest intervention significantly influenced the risk level of becoming ill from consuming oysters. The mean estimates of risk in winter, spring, summer, and fall were estimated to be 9.1 x 10-5, 2.0 x 10-3, 2.0 x 10-2, 6.9 x 10-3 per serving, respectively. Our models predict that, if global temperatures continue to increase in the coming decades due to climate change, the risk per serving of oysters is likely to increase by 18-145% by 2041-2060 and by 18-718% by 2081-2100, depending on the season and SSP. The application of thermal processing or high hydrostatic pressure processing was found to be the most effective approach in reducing risk, even under the threat of increasing global temperatures.
Uropathogenic Escherichia coli (UPEC) is known to cause 65-75% of human urinary tract infection (UTI) cases. Poultry meat is a reservoir of UPEC, which is suspected to cause foodborne UTIs. In the present study, we aimed to determine the growth potential of UPEC in ready-to-eat chicken breasts prepared by sous-vide processing. Four reference strains isolated from the urine of UTI patients (Bioresource Collection and Research Center [BCRC] 10,675, 15,480, 15,483, and 17,383) were tested by polymerase chain reaction assay for related genes to identify their phylogenetic type and UPEC specificity. A cocktail of these UPEC strains was inoculated into sous-vide cooked chicken breast at 10(3-4) colony-forming unit (CFU)/g and stored at 4°C, 10°C, 15°C, 20°C, 30°C, and 40°C. Changes in the populations of UPEC during storage were analyzed by a one-step kinetic analysis method using the U.S. Department of Agriculture [USDA] Integrated Pathogen Modeling Program-Global Fit [IPMP-Global Fit]. The results showed that the combination of the no lag phase primary model and the Huang square-root secondary model fitted well with the growth curves to obtain the appropriate kinetic parameters. This combination for predicting UPEC growth kinetics was further validated using it to study additional growth curves at 25°C and 37°C, which showed that the root mean square error, bias factor, and accuracy factor were 0.49-0.59 (log CFU/g), 0.941-0.984, and 1.056-1.063, respectively. In conclusion, the models developed in this study are acceptable and can be used to predict the growth of UPEC in sous-vide chicken breast.
Given water’s vital role in supporting life and ecosystems, global climate change and human activities have significantly diminished its availability and quality. This study explores the health risks of drinking water consumption in the shiraz county water resources and distribution system. The result showed that the water was slightly alkaline. However, the average pH values during the study were within the permissible range. The area’s abundance of total hardness and calcium was due to the high concentration of minerals in rocks and soils. The nitrate and fluoride concentrations in drinking groundwater varied from 0.02 to 116.70 mg/L and 0.10-1.85 mg/L, respectively. Although the water quality index indicated that 52.63, 45.03, and 20.3 percent of samples were of excellent, good, and poor quality in 2020, those percentages obtained 46.05, 52.09, and 14.0 percent in 2021. The regression values of training, testing, validation, and the proposed artificial neural network model were 0.93, 0.92, 0.85, and 0.92. The maximum levels of hazard quotient of nitrate and fluoride (except for adults) were higher than 1 in all age groups, indicating a high non-carcinogenic risk by exposure to nitrate. Furthermore, according to the Monte Carlo simulation, the 95th percentile hazard index in all groups was more than 1. Children and infants were more inclined towards risk than teens and adults based on the intake of nitrate and fluoride from drinking water. The Sobol sensitivity reflected that the nitrate concentration and ingestion rate are vital parameters that influence the outcome of the oral exposure model for all age groups. The interaction of ingestion rate with a concentration of nitrate and fluoride is an important parameter affecting the health risk assessment. In conclusion, these findings suggest that precise measures can reduce health risks and guarantee safe drinking water for residents of Shiraz County.
Climate change has significantly increased the frequency of our exposure to heat, adversely affecting human health and industries. Heat stress is an environmental stress defined as the exposure of organisms and cells to abnormally high temperatures. To comprehensively explain the mechanisms underlying an organism’s response to heat stress, it is essential to investigate and analyze genes that have been under-represented or less well-known in previous studies. In this study, we analyzed heat stress-responsive genes using a meta-analysis of numerous gene expression datasets from the public database. We obtained 322 human and 242 mouse pairs as the heat exposure and control data. The meta-analysis of these data identified 76 upregulated and 37 downregulated genes common to both humans and mice. We performed enrichment, protein-protein interaction network, and transcription factor target gene analyses for these genes. Furthermore, we conducted an integrated analysis of these genes using publicly available chromatin immunoprecipitation sequencing (ChIP-seq) data for HSF1, HSF2, and PPARGC1A (PGC-1α) as well as gene2pubmed data from the existing literature. The results identified previously overlooked genes, such as ABHD3, ZFAND2A, and USPL1, as commonly upregulated genes. Further functional analysis of these genes can contribute to coping with climate change and potentially lead to technological advancements.
PURPOSE: Extreme weather events are rising due to the accelerating pace of climate change. These events impact human health and increase emergency room visits (EV) for many morbidities. Tinnitus is a common cause of EVs within otolaryngology in Germany and Austria. The effect of extreme weather conditions on tinnitus-related EVs is unknown. METHODS: A total of 526 tinnitus-related EVs at a tertiary care hospital in Vienna were identified. A distributed lag non-linear model with a maximum lag period of 14 days was fitted to investigate the immediate and delayed effect of single-day and prolonged (three-day) extreme atmospheric pressure, relative humidity, mean temperature, precipitation and mean wind speed on EV rates. Extreme conditions were defined as the 1st, 5th, 95th, and 99th percentile of the meteorological variables. Relative risk (RR) is defined as risk for tinnitus-related EVs at an extreme condition compared to the risk at the median weather condition. Cumulative RR (cRR) is the total cumulated EV risk for a given time period. RESULTS: High relative humidity increased same-day RR for tinnitus-related EVs to 1.75. Both low and high atmospheric pressure raised cRR as early as three days after an event to a maximum of 3.24. Low temperatures mitigated cRR within 4 days, while high temperatures tended to increase risk. Prolonged precipitation reduced cRR within one day. CONCLUSION: Extreme meteorological conditions are associated with tinnitus-related EV rates. Further investigation into potential causative links and underlying pathophysiological mechanisms is warranted.
Atmospheric fine particulate matter (PM(2.5)) is a human health risk factor, but its ambient concentration depends on both precursor emissions and meteorology. While emission reductions are used to set PM(2.5)-related health policies, the effect of meteorology is often overlooked. To explore this aspect, we examined PM(2.5) interannual variability (IAV) associated with meteorological parameters using the long-term simulation from the Community Earth System Model (CESM1), a global climate-chemistry model, with fixed emissions. The results are subsequently contrasted with the MERRA-2 reanalysis dataset, which inherently considers emission and meteorology effects. Over continental East Asia, the CESM1 domain-average PM(2.5) IAV is 6.7 %, mainly attributed to humidity, precipitation, and ventilation variation. The grid-cell PM(2.5) IAVs over southern East China are larger, up to 12 % due to the more substantial influence of El Niño-induced meteorological anomalies. Under such climate extreme, sub-regional PM(2.5) concentration may occasionally exceed WHO air quality guideline levels despite the compliance of the long-term mean. The simulated PM(2.5) IAV over continental East Asia is ~25 % of that derived from the MERRA-2 data, which highlights the influence of both emission and meteorology-driven variations and trends inherent in the latter. Although emission-driven variability is significant to PM(2.5) IAV, in remote areas downwind of major source regions in East Asia, North America, and Western Europe, the MERRA-2 data revealed that meteorological variations contributed more to PM(2.5) IAV than emission variations. Thus, when setting policies for complying with the WHO PM(2.5)-related air quality guideline levels, the highest annual PM(2.5) associated with climate extremes should be considered instead of that based on average climate conditions.
Meteoropathy is no longer considered a popular myth, but a new disease that significantly impacts daily life, particularly in individuals who experience mental illness, cardiovascular disorders, and respiratory conditions. However, there are very limited data on this condition. This study aimed to comprehensively review and analyze existing in vivo animal studies and human clinical trials investigating the effects of meteoropathy on health and its pharmacological treatment. A thorough literature search was conducted across databases such as PubMed and Scopus to gather relevant information. Our analysis primarily focused on the relationship between meteoropathy and mental health, including the influence on affective temperaments. Additionally, we explored various treatment approaches, emphasizing the combination of muscle exercises, pharmacological interventions, and naturopathy, which have shown promise in alleviating pain among individuals affected by meteoropathy. Future research in meteoropathy should shed light on synthesizing new pharmacological compounds.
The production, harvesting and safe consumption of bivalve molluscs can be disrupted by biological hazards that can be divided into three categories: (1) biotoxins produced by naturally occurring phytoplankton that are bioaccumulated by bivalves during filter-feeding, (2) human pathogens also bioaccumulated by bivalves and (3) bivalve pathogens responsible for disease outbreaks. Environmental changes caused by human activities, such as climate change, can further aggravate these challenges. Early detection and accurate quantification of these hazards are key to implementing measures to mitigate their impact on production and safeguard consumers. This review summarises the methods currently used and the technological advances in the detection of biological hazards affecting bivalves, for the screening of known hazards and discovery of new ones.
BACKGROUND: An increasing number of systematic reviews (SRs) in the environmental field have been published in recent years as a result of the global concern about the health impacts of air pollution and temperature. However, no study has assessed and compared the methodological and reporting quality of SRs on the health effects of air pollutants and extreme temperatures. This study aims to assess and compare the methodological and reporting quality of SRs on the health effects of ambient air pollutants and extreme temperatures. METHODS: PubMed, Embase, the Cumulative Index to Nursing and Allied Health Literature (CINAHL), Cochrane Library, Web of Science, and Epistemonikos databases were searched. Two researchers screened the literature and extracted information independently. The methodological quality of the SRs was assessed through A Measurement Tool to Assess Systematic Reviews 2 (AMSTAR 2). The reporting quality was assessed through Preferred Reporting Items of Systematic reviews and Meta-Analyses (PRISMA). RESULTS: We identified 405 SRs (286 for air pollution, 108 for temperature, and 11 for the synergistic effects). The methodological and reporting quality of the included SRs were suboptimal, with major deficiencies in protocol registration. The methodological quality of SRs of air pollutants was better than that of temperature, especially in terms of satisfactory explanations for any heterogeneity (69.6% v. 45.4%). The reporting quality of SRs of air pollution was better than temperature, however, adherence to the reporting of the assessment results of risk of bias in all SRs (53.5% v. 34.3%) was inadequate. CONCLUSIONS: Methodological and reporting quality of SRs on the health effect of air pollutants were higher than those of temperatures. However, deficiencies in protocol registration and the assessment of risk of bias remain an issue for both pollutants and temperatures. In addition, developing a risk-of-bias assessment tool applicable to the temperature field may improve the quality of SRs.
Anthropogenic climate change is causing a rise in global temperatures, with this trend projected to increase into the future. Rising temperatures result in an increase in the frequency and severity of heatwave events, with an associated increase in poor health outcomes for vulnerable individuals. This places an increasing strain on health care services. However, methods calculating future health care costs associated with this trend are poorly understood. We calculated health care costs attributable to heatwave events in Tasmania 2009-2019, using ambulance dispatches as a case study. We also modeled the expected health and economic burden for projected heatwave frequencies between 2010 and 2089. We developed our models based on two possible approaches to describing population adaptation to heatwaves-an adapted population calculated by determining heatwave episodes using a rolling baseline, and a non-adapted population calculated by determining heatwave episodes using a static baseline. Using a rolling baseline calculation for 2010 to 2089, we estimated additional ambulance costs averaging AUD$57,147 per year and totaling AUD$4,571,788. For the same period using a static baseline, we estimated additional ambulance costs averaging AUD$517,342 per year and totaling AUD$41,387,349. While this method is suitable for estimating the health care costs associated with heatwaves, it could be utilized for estimating health care costs related to other climate-related extreme events. Different methods of estimating heatwaves, modeling an adapted versus non-adapted population, provide substantial differences in projected costs. There is potential for considerable health system cost savings when a population is supported to adapt to extreme heat.
Today the most substantial threats facing cities relate to the impacts of climate change. Extreme temperature such as heat waves and the occurrence of Urban Heat Island (UHI) phenomena, present the main challenges for urban planning and design. Climate deterioration exacerbates the already existing weaknesses in social systems, which have been created by changes such as population increases and urban sprawl. Despite numerous attempts by researchers to assess the risks associated with the heat-health nexus in urban areas, no common metrics have yet been defined yet. The objective of this study, therefore, is to provide an empirical example of a flexible and replicable methodology to estimate the micro-scale UHI risks within an urban context which takes into account all the relevant elements regarding the heat-health nexus. For this purpose, the city of Turin has been used as a case study. The methodological approach adopted is based on risk assessment guidelines suggested and approved by the most recent scientific literature. The risk framework presented here used a quantitative estimate per each census tract within the city based on the interaction of three main factors: hazard, exposure, and vulnerability. Corresponding georeferenced maps for each indicator have been provided to increase the local knowledge on the spatial distribution of vulnerability drivers. The proposed methodology and the related findings represent an initial stage of the urban risk investigation within the case study. This will include participatory processes with local policymakers and health-stakeholders with a view to guiding the local planning agenda of climate change adaptation and resilience strategies in the City of Turin.
A rising outbreak of waterborne diseases caused by global warming requires higher microbial stability in the drinking water distribution system (DWDS). Chloramine disinfection is gaining popularity in this context due to its good persistent stability and fewer disinfection byproducts. However, the microbiological risks may be significantly magnified by ammonia-oxidizing bacteria (AOB) in distribution systems during global warming, which is rarely noticed. Hence, this work mainly focuses on AOB to explore its impact on water quality biosafety in the context of global warming. Research indicates that global warming-induced high temperatures can directly or indirectly promote the growth of AOB, thus leading to nitrification. Further, its metabolites or cellular residues can be used as substrates for the growth of heterotrophic bacteria (e.g., waterborne pathogens). Thus, biofilm may be more persistent in the pipelines due to the presence of AOB. Breakpoint chlorination is usually applied to control such situations. However, switching between this strategy and chloramine disinfection would result in even more severe nitrification and other adverse effects. Based on the elevated microbiological risks in DWDS, the following aspects should be paid attention to in future research: (1) to understand the response of nitrifying bacteria to high temperatures and the possible association between AOB and pathogenic growth, (2) to reveal the mechanisms of AOB-mediated biofilm formation under high-temperature stress, and (3) to develop new technologies to prevent and control the occurrence of nitrification in drinking water distribution system.
The effect of climate change on flora and fauna has been widely discussed for years. However, its consequences on microorganisms are generally poorly considered. The main effect of climate change on microbiota is related to biodiversity changes in different regions of the planet, mainly due to variations in temperature. These alterations are resulting in a worldwide (re)distribution of pathogens, which was not considered a few years ago. They mainly affect different food chain sectors (such as agriculture, livestock and fishing), as well as human health. Hence, the spread of numerous animal and plant pathogens has been observed in recent years from south to north (especially in America, Europe and Asia), leading to the spread of numerous plant and animal diseases, which results in economic and ecological losses. In addition, global warming that accompanies climate change could also be related to emerging antibiotic resistance. However, the mitigation of climate change goes hand in hand with microorganisms, which can help us through different natural and industrial processes. Thus, this manuscript presents the direct and indirect effects of climate change on microorganisms described up to date and how they act on this worldwide phenomenon.
Climate change intersecting with complex socio-economic and political processes has produced distinctive patterns of crisis migration. However there exists a significant gap in understanding and theorizing these forms of migration creating significant policy challenges. Using a case study of an interstate migrant settlement in Bengaluru, India this article unpacks migration as an adaptation strategy through the lens of emotions. The article offers significant insights into how emotions affect the choice of migration as an adaptation strategy and shapes the differential experiences of risks and vulnerability for different groups of people. Emphasizing such relational aspects of migration, the article calls for more research that develops a nuanced understanding of the emotional landscapes of migrants across migration pathways.
INTRODUCTION: Climate change impacts mental wellbeing through complex pathways and young people are among the most vulnerable to climate-related anxiety. Minding our Futures used methods from systems science to explore this issue and identify actions to promote mental wellbeing for young Australians (18-24 years). METHODS: This qualitative study used Group Model Building via three online facilitated workshops recruiting health, youth and climate practitioners and researchers engaged with young people around climate change and/or mental wellbeing (N = 14). Analysis created a systems map and rich description of the relationships between causal factors and their impact on young people. RESULTS: Three themes emerged; “Government, Services and Structures” highlighted underlying structural issues including capitalism and political powerlessness; “Social Norms, Communication and Taking Action” reflected social media and misinformation; and “Personal Experience of Environmental Disasters” described the impact of climate-related disasters and importance of nature and place connection. Participants specified connections between the themes and mental health outcomes. CONCLUSION: This novel applied translational research process supported key informants to design structural responses to a complex and critical public health issue. Their vision was a multi-faceted approach, co-led with young people, drawing on Indigenous knowledges and change-focused policy, community empowerment and nature-based interventions.
Global warming and climate change are important worldwide issues which are a major human health threat. Climate change can affect the gastrointestinal (GI) system in many ways. Increased rainfall events and flooding may be associated with increased GI infections and hepatitis. Climate change could cause changes in gut microbiota, which may impact the pattern of GI diseases. The stress of access to essential needs such as clean water and food, the effects of forced migration, and natural disasters could increase brain-gut axis disorders. The association between air pollution and GI disorders is another challenging issue. There is a lot to do personally and professionally as gastroenterologists regarding climate change.
This study provides a synthetic overview of thirty years of research devoted to urban climate change in Africa. Which cities in Africa are being researched on the impacts of climate change affecting them? What are the main social and urban issues and how are they linked? Is the development of climate services envisaged for these cities? Related to which local issues? Some answers are drawn by text mining the metadata of more than a thousand articles published in the 1991-2021 period and recorded in the Web of Science. The evidences produced are based on the design and exploitation of a taxonomy of keywords forming a set of issues and on their articulation in a network based on their co-occurrences in the articles’ metadata. Forty-eight African countries and 134 cities are cited, Cairo, Dar es Salaam, Cape Town, Accra, Lagos, Durban, Nairobi, Addis Ababa, Kampala and Johannesburg being the cities deferring the largest number of studies. The salient urban climate change issues-health, water, energy, social issues and governance, followed by agriculture and food, mitigation, heat, urban territories, risks and hazards-are generally addressed in their interdependences. Urbanization and the implementation of associated policies, as well as the management of water resources, floods health and energy, and land use and land cover changes to a less extent, are proving to be the most pressing challenges. In view of the intricacy of these issues, climate services appear underdeveloped in African cities and barely confined to the acquisition and modeling of environmental data for decision-making in adaptation planning.
IntroductionHeat illness among the UK Armed Forces is usually exertional, and therefore preventable, yet the incidence has not reduced since 2011. JSP 539 explicitly states that wet bulb globe temperature (WBGT) should be measured ‘at the location of greatest heat risk’, not ‘that of most convenience’. A handheld WBGT tracker used at point-of-exertion could reduce this incidence if proven to be as accurate as the current in-service device. MethodsLongitudinal observational comparison and equipment feasibility study of the Kestrel 5400 and QUESTemp 34 (QT-34) in worldwide firm base and deployed UK Armed Forces locations. The locations chosen were Kenya, South Sudan, Belize, Tidworth, Aldershot and Brecon. Paired data points of WBGT readings were collected from November 2017 to August 2018 in all weather conditions. ResultsWBGT readings were comparable between the QT-34 and Kestrel 5400 across the UK and overseas. In addition, there was no change in accuracy between readings taken from the Kestrel 5400 when tripod-mounted and handheld. The Kestrel was easy to set up and far less susceptible to resupply or power supply limitations, as it requires no user input for wet bulb temperature, and runs on AA batteries. ConclusionThis equipment feasibility study has shown that the Kestrel 5400 gives an acceptable accuracy and is easier to use than the QT-34. The authors recommend that the Kestrel 5400 is introduced as an adjunct to the QT-34, and its use within the military setting monitored through ongoing comparative data collection in a large-scale proof-of-concept study.
Climate change is considered the greatest threat to global health. Greenhouse gases as well as global surface temperatures have increased causing more frequent and intense heat and cold waves, wildfires, floods, drought, altered rainfall patterns, hurricanes, thunderstorms, air pollution, and windstorms. These extreme weather events have direct and indirect effects on the immune system, leading to allergic disease due to exposure to pollen, molds, and other environmental pollutants. In this review, we will focus on immune mechanisms associated with allergy and asthma-related health risks induced by climate change events. We will review current understanding of the molecular and cellular mechanisms by which the changing environment mediates these effects.
Food insecurity is prevalent, affecting 1·2 billion people globally in 2021. However, the effects of food insecurity are unequally distributed across populations and climate-related shocks threaten to exacerbate food insecurity and associated health consequences. The mechanisms underlying this exacerbation at the household level are largely unknown. We aimed to synthesise the available evidence on the mechanisms connecting extreme climate events to household-level food insecurity and highlight the research gaps that must be addressed to inform better food security and health policy. For this systematic review, a comprehensive literature search was done by a medical librarian in February, 2021 for articles about food security and climate-related shocks. Relevant publications were identified by searching the following databases with a combination of standardised index terms and keywords: MEDLINE, Embase, CINAHL, GreenFILE, Environment Complete, Web of Science Core Collection, and Global Health. Searches were limited to human studies published in English. Included studies measured food security outcomes using indicators developed by the UN Food and Agricultural Organization (ie, consumption patterns, livelihood change, malnutrition, and mortality) and explained the mechanism behind the household-level or population-level food insecurity. Purely theoretical, modelling, and review studies were excluded. Quality assessment was conducted using the appropriate Joanna Briggs Institute Critical Appraisal Tool. Data were analysed using thematic analysis of the categories of mechanism (interpreted using internationally accepted frameworks), risk and resilience factors, and author policy recommendations. We found a paucity of data with only 18 studies meeting criteria for inclusion out of 337 studies identified for full-text review. All the studies that were included in our analysis showed worse food security outcomes after climate-related shocks. Food availability was the most common mechanism cited (17 studies), although most studies addressed at least one additional mechanism (15 studies). Studies were of mixed methodologies with nuanced discussions of risk and resilience factors, and of policy recommendations. This systematic review shows that there is an incomplete assessment of food security at the household and community level after climate-related shocks in the literature and finds that food availability is the primary mechanism studied. The low number of studies on this topic limits subgroup analysis and generalisability; however, the good quality of the studies allows for important policy recommendations around improving resilience to climate shocks and suggestions for future research including the need for a more granular understanding of mechanisms and feasible adaptation solutions.
Climate change is suspected to cause adverse health effects, and increased ozone concentration is one of the proposed pathways. We examined the mediation of ozone on the association between temperature and daily mortality and estimated excess mortality due to climate change. METHODS: Daily mean temperature, 8-hour maximum ozone concentration, and daily number of non-accidental deaths from 7 metropolitan cities in Korea (Seoul, Busan, Daegu, Incheon, Daejeon, Gwangju, and Ulsan) between January 1, 2006 and December 31, 2019 were analyzed. A mediation analysis using a linear regression model for temperature and ozone and a Poisson regression model for temperature and mortality adjusting for ozone was conducted on days with temperature higher than or lower than city specific minimum mortality temperature. We calculated excess mortality due to direct and indirect effects of daily temperature exceeding average daily temperature from 1960 to 1990. RESULTS: The daily mean temperature from 2006 to the end of 2019 was 1.15 ± 2.94 °C higher than the average daily temperature from 1960 to 1990. The pooled relative risk (for a 1 °C increment) of indirect effects through increased ozone were 1.0002 [95% confidence interval (CI): 0.9999, 1.0004] and 1.0003 (95% CI: 1.0002, 1.0005) in days with higher than or lower than minimum mortality temperature, respectively. The numbers of excess deaths during the study period were 2072.5 (95% CI: 1957.1, 2186.5) due to direct effects in days with higher than minimal mortality temperature, and 94.6 (95% CI: 84.3, 101.7) and 268.5 (95% CI: 258.4, 289.1) due to indirect effects in days with higher than and lower than minimal mortality temperature, respectively. CONCLUSION: We observed a mediating effect of ozone between temperature and daily mortality. There has been excess deaths due direct effect of temperature and indirect effects through ozone.
Natural disasters are complex, global issues that affect people individually, families, and communities, upsetting their emotional wellbeing. This research aims to comprehend the connections between disasters and their effects on mental health. We conducted a systemic review and meta-analysis on the effect of disasters on mental health disorders using defined search terms across three major databases. The search technique adhered to the PECO framework. The study locations were dispersed across Asia, Europe, and America. An electronic search was established in the Cochrane Central Register of Controlled Trials in the Cochrane Library, PubMed, and Medline databases. A random-effects meta-analysis was carried out. The I(2) statistic was used to explore heterogeneity. In the random-effects analysis, Tau-squared, τ(2), or Tau(2) evaluates the effects seen between the study variances. Publication bias was examined. The outcomes of the included studies on mental health issues (n = 48,170) brought on by catastrophic disasters were pooled using a random-effects meta-analysis. The three main mental health illnesses attributed to the disaster catastrophe in most studies were generalized anxiety disorder (GAD), depression, substance use, adjustment disorder, and post-traumatic stress disorder (PTSD). Storms, including cyclones and snowstorms, had an impact on 5,151 individuals. 38,456 people were harmed by flooding, and 4,563 people were affected by the earthquake. The included studies showed prevalence rates for mental health disorders ranging from 5.8% to 87.6%. The prevalence rates were between 2.2% and 84% for anxiety, 3.23% and 52.70% for depression, and 2.6% and 52% for PTSD, respectively. The point effect estimates of studies included the flood, storm/cyclone, and earthquake were 0.07 (95% confidence interval [CI]: 0.02-0.12), 0.18 (95% CI: 0.03-0.32), and 0.15 (95% CI: 0.03-0.27), respectively, which revealed a statistically significant positive effect (p-value: < 0.05) with a narrow 95% CI indicating more precise population estimates. However, the pooled effect estimates were not of a large effect size of 0.129 (95% CI: 0.05-0.20). This study found a link between disaster and poorer outcomes for mental health. The risk of psychological morbidity and fatalities increased with relocation and disruption of essential services. Flooding was the most frequent calamity. The "medium human development countries" were found to have the highest prevalence rate of mental health disorders in our meta-analysis. The "very high human development" and "high human development" nations, however, also had a higher prevalence rate of mental health disorders following catastrophic events. This study could aid in the creation of thorough strategies for the mitigation and avoidance of mental health problems during natural disasters. Increased community resilience, improved access to healthcare services, and a suitable mitigation strategy can all help to improve the situation of the disaster's vulnerable population.
BACKGROUND: Climate change has been shown to be directly linked to multiple physiological sequelae and to impact health consequences. However, the impact of climate change on mental health globally, particularly among vulnerable populations, is less well understood. OBJECTIVE: To explore the mental health impacts of climate change in vulnerable populations globally. METHODS: We performed an integrative literature review to identify published articles that addressed the research question: What are the mental health impacts of climate change among vulnerable populations globally? The Vulnerable Populations Conceptual Model served as a theoretical model during the review process and data synthesis. FINDINGS/RESULTS: One hundred and four articles were selected for inclusion in this review after a comprehensive review of 1828 manuscripts. Articles were diverse in scope and populations addressed. Land-vulnerable persons (either due to occupation or geographic location), Indigenous persons, children, older adults, and climate migrants were among the vulnerable populations whose mental health was most impacted by climate change. The most prevalent mental health responses to climate change included solastalgia, suicidality, depression, anxiety/eco-anxiety, PTSD, substance use, insomnia, and behavioral disturbance. CONCLUSIONS: Mental health professionals including physicians, nurses, physician assistants and other healthcare providers have the opportunity to mitigate the mental health impacts of climate change among vulnerable populations through assessment, preventative education and care. An inclusive and trauma-informed response to climate-related disasters, use of validated measures of mental health, and a long-term therapeutic relationship that extends beyond the immediate consequences of climate change-related events are approaches to successful mental health care in a climate-changing world.
Climate change is one of the great challenges of our time. The consequences of climate change on exposed biological subjects, as well as on vulnerable societies, are a concern for the entire scientific community. Rising temperatures, heat waves, floods, tornadoes, hurricanes, droughts, fires, loss of forest, and glaciers, along with disappearance of rivers and desertification, can directly and indirectly cause human pathologies that are physical and mental. However, there is a clear lack in psychiatric studies on mental disorders linked to climate change.
Natural hazards are increasing because of climate change, and they disproportionately affect vulnerable populations. Prior reviews of the mental health consequences of natural hazard events have not focused on the particular experiences of vulnerable groups. Based on the expected increase in fires and droughts in the coming years, the aim of this systematic review is to synthesize the global evidence about the mental health of vulnerable populations after experiencing natural hazards. We searched databases such as Ovid MEDLINE, EMBASE, CINAHL and Ovid PsycInfo using a systematic strategy, which yielded 3,401 publications. We identified 18 eligible studies conducted in five different countries with 15,959 participants. The most common vulnerabilities were living in a rural area, occupying a low socioeconomic position, being a member of an ethnic minority and having a medical condition. Common experiences reported by vulnerable individuals affected by drought included worry, hopelessness, isolation and suicidal thoughts and behaviors. Those affected by fire reported experiencing posttraumatic stress disorder (PTSD) and anger. These mental health problems exacerbated existing health and socioeconomic challenges. The evidence base about mental health in vulnerable communities affected by natural hazards can be improved by including standardized measures and comparison groups, examining the role of intersectional vulnerabilities, and disaggregating data routinely to allow for analyses of the particular experiences of vulnerable communities. Such efforts will help ensure that programs are informed by an understanding of the unique needs of these communities.
Disasters are severely impactful events with the potential to provide injuries or death, destroy properties, and put in danger the mental health of people exposed to them. People who are particularly involved in disasters are first responders. In this work, we will focus on a specific type of first responder, i.e., cultural heritage clinicians who have the responsibility to preserve, protect, and recover cultural heritage from damage. Aims: This review aims to discuss the mental health risks for first responders after disasters, with a specific focus on cultural heritage first responders. Methods: Studies had to be: 1) in English; 2) on adults; 3) original studies or clinical trials; 4) related to the mental health of participants; 5) published in peer-reviewed journals. Exclusion criteria were: 1) being written in languages different from English; 2) being conducted on adolescents/children; 3) not being related to the mental health of participants; 4) being a book/report/summary; 5) not being a clinical trial; 6) not being peer-reviewed. The search was run throughout PsycInfo, PsycArticles, and Medline on the 1st of April 2022 on articles published between 2012 and 2022 by using these keywords: natural disasters or tsunamis or floods or drought or wildfire or earthquake or tornado or hurricane or snowstorm AND first responders or firefighters or paramedics or police or emergency services or emergency medical services AND mental health or mental illness or mental disorder or psychiatric illness. Results: First responders are at risk of depression, anxiety, sleep disturbances, alcohol/substance abuse, and suicide ideation. Currently, there are no studies on mental health risks for cultural heritage first responders. There are some training programs designed for first responders in emergencies. Recent results seem to confirm their usefulness for first responders, leading us to suggest their application also for cultural heritage first responders. Conclusion: Further studies should explore the psychological impact of cultural heritage first responders, as well as the effect that psychological training can have on them.
Introduction: Mass mortality events (MMEs) involve the sudden death of thousands to millions of fish. MMEs are a serious problem in marine finfish aquaculture globally and may become more common with climate change. They can entail significant asset losses; pose compliance threats to environmental and animal health, and occupational health and safety obligations; and may undermine social license to operate. MMEs may be defined as major accidents in that they require rapid mobilization of workers, vessels and other supports and working under pressure to a) investigate the extent and cause of the die-off; b) remove, transport, and dispose of dead finfish; and c) adjust farm design and practices to reduce future risk. As with other such events, MMEs have the potential to cause injury or fatalities to persons, damage to cages and vessels and also substantially reduce the welfare or number of fish. Still, no existing research has explored the potential aquaculture occupational health and safety (AOHS) hazards and risks associated with responding to MMEs.Materials and methods: An international AOHS research team performed a desktop exercise using information on definitions of MMEs, incident reports, legal and regulatory guidance and documentation and media coverage to generate five country profiles (Canada, Chile, Ireland, Norway, Scotland) of potential AOHS hazards and risks associated with MMEs. Country profile findings were synthesized and incorporated into a multi-disciplinary, expert elicitation risk assessment process to identify causes and consequences of MMEs.Results: Findings indicate variability in MME definitions, requirements for event reporting and AOHS-related contingency planning across countries. To highlight key hazards and potential pathways between MME -prevention planning, monitoring and response and AOHS risks a preliminary bow-tie risk analysis is conduct-ed. Bow-tie risk analysis is a graphical tool to illustrate an accident scenario, with accident causes on one side of the tie and consequences on the other. These findings are also relevant for AOHS in general.Conclusions: AOHS concerns need to be fully and effectively integrated into broader risk assessments and sur-veillance systems to prevent MMEs and reduce their consequences in marine finfish aquaculture.
OBJECTIVE: To measure the prevalence of maternal anxiety, depression and posttraumatic stress disorder (PTSD) in those exposed to natural disasters. METHODS: A literature search of the PubMed database and www.clinicaltrials.gov from January 1990 through June 2020 was conducted. A PRISMA review of the available literature regarding the incidence and prevalence of maternal anxiety, depression and posttraumatic stress disorder (PTSD) following natural disasters was performed. A natural disaster was defined as one of the following: pandemic, hurricane, earthquake and post-political conflict/displacement of people. Studies were selected that were population-based, prospective or retrospective. Case reports and case series were not used. The primary outcome was the prevalence of maternal anxiety, depression and PTSD in the post-disaster setting. Two independent extractors (I.F. & H.G.) assessed study quality using an adapted version of the Effective Public Health Practice Project Quality Assessment tool. Given the small number of studies that met inclusion criteria, all 22 studies were included, regardless of rating. Data were extracted and aggregate rates of depression, anxiety, and PTSD were calculated to provide synthesized rates of maternal mental health conditions among participants. RESULTS: Twenty-two studies met the inclusion criteria. A total of 8357 pregnant or birthing persons in the antepartum and postpartum periods were studied. The prevalence of post-pandemic anxiety, depression and PTSD were calculated to be 48.2%, 27.3%, and 22.9%. Post-earthquake depression and PTSD rates were 38.8% and 22.4%. The prevalence of post-hurricane anxiety, depression and PTSD were 17.4%, 22.5%, and 8.2%. The rates of post-political conflict anxiety, depression and PTSD were 48.8%, 31.6% and 18.5%. CONCLUSION: Given the high rates of anxiety, depression and PTSD among pregnant and birthing persons living through the challenges of natural disasters, obstetrician-gynecologists must be able to recognize this group of patients, and provide a greater degree of psychosocial support.
The objective of this study was to explore the impact of maternal AT during pregnancy on childhood asthma and wheezing, as well as the potential effect modifiers in this association. A cross-sectional study was implemented from December 2018 to March 2019 in Jinan to investigate the prevalence of childhood asthma and wheezing among aged 18 months to 3 years. Then, we conducted a case-control study based on population to explore the association between prenatal different AT exposure levels and childhood asthma and wheezing. The association was assessed by generalized additive models and logistic regression models, and stratified analyses were performed to explore potential effect modifiers. A total of 12,384 vaccinated children participated in screening for asthma and wheezing, 236 cases were screened, as well as 1445 controls were randomized. After adjusting for the covariates, childhood asthma and wheezing were significantly associated with cold exposure in the first trimester, with OR 1.731 (95% CI: 1.117-2.628), and cold exposure and heat exposure in the third trimester, with ORs 1.610 (95% CI: 1.030-2.473) and 2.039 (95% CI: 1.343-3.048). In the third trimester, enhanced impacts were found among girls, children whose distance of residence was close to the nearest main traffic road, and children whose parents have asthma. The study indicates that exposure to extreme AT during the first and third trimesters could increase the risk of childhood asthma and wheezing.
Macrosomia has increased rapidly worldwide in the past few decades, with a huge impact on health. However, the effect of PM(2.5) and extreme high-temperature (EHT) on macrosomia has been ignored. OBJECTIVE: This study aimed to explore the association between maternal exposure to EHT, PM(2.5) and macrosomia based on the Seventh Demographic and Health Survey (DHS) in 14 countries of Africa. METHODS: The study included detailed demographic information on 106 382 births and maternal. Satellite inversion models estimated monthly mean PM(2.5) and mean surface temperature of 2 m (SMT(2m) ). Macrosomia was defined as the birth weight ≥ 4000 g. We used a Cox proportional risk regression model to estimate the association between PM(2.5) , EHT and macrosomia. We further explored the susceptibility of exposure to EHT and PM(2.5) at different pregnancy periods to macrosomia, and plotted the expose-response curve between PM(2.5) and macrosomia risk using a restricted cubic spline function. In addition, the Interplot model was used to investigate the interaction between EHT and PM(2.5) on macrosomia. Finally, some potential confounding factors were analysed by stratification. RESULTS: There was the positive association between EHT, PM(2.5) and macrosomia, and the risk of macrosomia with the increase in concentrations of PM(2.5) without clear threshold. Meanwhile, EHT and PM(2.5) had a higher effect on macrosomia in middle/later and early/middle stages of pregnancy, respectively. There was a significant interaction between EHT and PM(2.5) on macrosomia. CONCLUSIONS: Maternal exposure to EHT, PM(2.5) during pregnancy was associated with an increased risk of macrosomia in Africa.
Rapid changes in the global climate are deepening existing health disparities from resource scarcity and malnutrition. Rising ambient temperatures represent an imminent risk to pregnant women and infants. Both maternal malnutrition and heat stress during pregnancy contribute to poor fetal growth, the leading cause of diminished child development in low-resource settings. However, studies explicitly examining interactions between these two important environmental factors are lacking. We leveraged maternal and neonatal anthropometry data from a randomized controlled trial focused on improving preconception maternal nutrition (Women First Preconception Nutrition trial) conducted in Thatta, Pakistan, where both nutritional deficits and heat stress are prevalent. Multiple linear regression of ambient temperature and neonatal anthropometry at birth (n = 459) showed a negative association between daily maximal temperatures in the first trimester and Z-scores of birth length and head circumference. Placental mRNA-sequencing and protein analysis showed transcriptomic changes in protein translation, ribosomal proteins, and mTORC1 signaling components in term placenta exposed to excessive heat in the first trimester. Targeted metabolomic analysis indicated ambient temperature associated alterations in maternal circulation with decreases in choline concentrations. Notably, negative impacts of heat on birth length were in part mitigated in women randomized to comprehensive maternal nutritional supplementation before pregnancy suggesting potential interactions between heat stress and nutritional status of the mother. Collectively, the findings bridge critical gaps in our current understanding of how maternal nutrition may provide resilience against adverse effects of heat stress in pregnancy.
The semi- and arid agro-climatic zones of India harbor numerous plants, many occurring as wild and neglected inhabitants of the desert landscape, that bear edible fruits. They are capable of growing in extreme temperatures, on marginal lands and water-scarce conditions. These also represent sustainable food sources for the future. The benefits that they confer to the ecosystems and communities can be manifold: (a) as influencers of agricultural productivity for other crops (like cereals) in agroforestry systems; (b) as balanced functional foods by way of providing high quality protein, macro- and micronutrients to target protein-calorie malnutrition; (c) as sources of antioxidants, nutraceuticals and bioactive leads to target the ever-increasing burden of non-communicable diseases like obesity, diabetes and cardiovascular disorders. A few representative examples of the promising desert plants include: Prosopis cineraria, Acacia senegal, Cyamopsis tetragonoloba (cluster bean), Capparis decidua, Ziziphus mauritiana (Indian jujube), Cordia dichotoma, Leptadenia pyrotechnica, Calligonum polygonoides, and millets. Even though the potential of such plants has been recognized by food and agricultural scientists, research gaps like low yield, disease vulnerability, presence of anti-nutrients, unavailable genomic sequence information, exclusion from the formal food value chain, and poor marketing strategies, prevent the realization of their full potential. The current perspective looks at the promise afforded by underutilized plants of the Indian desert regions in ensuring food and nutrition security as well as the possibility of developing value-added agri-food products from them. The complementary role that food processing technologies can play in achieving the desired goals would also be highlighted so as to transform the desert plants from traditional to ‘climate-smart’ future foods.
OBJECTIVES: Cross-population variation in age at menarche is related to many factors. The purpose of this study was to examine climate variables in relation to mean age at menarche among 87 modern human populations. We hypothesized a later age at menarche among populations living in areas with high precipitation variability, heavy seasonal rainfall, and high temperatures year-round due to water-borne diseases and periods of resource scarcity. METHODS: Using a comparative dataset, we examined geospatial distribution and climate variables in relation to age at menarche for 87 modern human populations. RESULTS: We found the strongest predictor of a later age at menarche was higher fertility followed by a later mean age at death. In addition, higher annual rainfall, higher precipitation seasonality, and lower annual mean temperature were moderate predictors of age at menarche. CONCLUSIONS: We propose that later ages at menarche in countries with high fertility may be a life-history strategy developed in response to climatic conditions that have resulted in higher immunological load. In these conditions, females may prioritize growth rather than reproduction. Shifts in climate and global population growth may change the future biological landscape of age at menarche.
The Central African Region is an agricultural and fishing-based economy, with 40% of the population living in rural communities. The negative impacts of climate change have caused economic/health-related adverse impacts and food insecurity. This original article aims to research four key themes: (i) acute food insecurity (AFI); (ii) childhood malnutrition and mortality; (iii) infectious disease burden; and (iv) drought and mean temperature projections throughout the twenty-first century. Food insecurity was mapped in Central Africa based on the Integrated Food Security Phase Classification (IPC) for AFI. The global hunger index (GHI) was presented along with the proportion of children with undernourishment, stunting, wasting, and mortality. Data for infectious disease burden was computed by assessing the adjusted rate of change (AROC) of mortality due to diarrhea among children and the burden of death rates due to pneumonia across all age groups. Finally, the mean drought index was computed through the year 2100. This population-based study identifies high levels of hunger across a majority of the countries, with the mean drought index suggesting extreme ends of wet and dry days and an overall rise of 1-3 °C. This study is a source of evidence for stakeholders, policymakers, and the population residing in Central Africa.
INTRODUCTION: Human actions have influenced climate changes around the globe, causing extreme weather phenomena and impacting communities worldwide. Climate change has caused, directly or indirectly, health effects such as injury and physical injuries, which impact morbidity and mortality. Similarly, there is evidence that exposure to climatic catastrophes has serious repercussions on psychological well-being, and rising temperatures and drought have detrimental effects on mental health.Despite the recent effort of researchers to develop specific instruments to assess the effects of climate change on mental health, the evidence on measures of its impact is still scarce, and the constructs are heterogeneous. The aim of this scoping review is to describe the instruments developed and validated to assess the impact of mental health related to climate change. METHODS AND ANALYSIS: This review is registered at Open Science Framework (https://osf.io/zdmbk). This scoping review will follow the reporting elements chosen for systematic review and meta-analysis (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). We proposed a PO question, as it places no restrictions on the participants (P), and the outcome (O) are measurement instruments on mental health related to climate change. A search will be conducted in different databases (PubMed, Scopus, Web of Science, PsycINFO). We will use an open-source artificial intelligence screening tool (ASReview LAB) for the title and abstract review. The full-text review will be performed by three researchers. If there is a disagreement between two independent reviewers, a third reviewer will take the final decision. We will use the COnsensus-based Standards for the selection of health Measurement INstruments tool to assess the risk of bias for each included study. The review will be conducted starting in September 2023. ETHICS AND DISSEMINATION: The planned scoping review does not require ethical approval since it will not involve an ethical risk to the participants. The results obtained from this study will be presented at conferences, congresses and scientific publications.
Component criticality analysis of infrastructure systems has traditionally focused on physical networks rather than infrastructure services. As an example, a key objective of transport infrastructure is to ensure mobility and resilient access to public services, including for the population, service providers, and associated supply chains. We introduce a new user-centric measure for estimating infrastructure criticality and urban accessibility to critical public services – particularly healthcare facilities without loss of generality – and the effects of disaster-induced infrastructure disruptions. Accessibility measures include individuals’ choices of all services in each sector. The approach is scalable and modular while preserving detailed features necessary for local planning decisions. It relies on open data to simulate various disaster scenarios, including floods, seismic, and compound shocks. We present results for Lima, Peru, and Manila, Philippines, to illustrate how the approach identifies the most affected areas by shocks, underserved populations, and changes in accessibility and critical infrastructure components. We capture the changes in people’s choices of health service providers under each scenario. For Lima, we show that the floods of 2020 caused an increase in average access times to all health services from 33 minutes to 48 minutes. We identify specific critical road segments for ensuring access under each scenario. For Manila, we locate the 22% of the population who lost complete access to all higher health services due to flooding of over 15 cm. The approach is used to identify and prioritize targeted measures to strengthen the resilience of critical public services and their supporting infrastructure systems, while putting the population at the center of decision-making.
Climate change is a threat to the mental and emotional wellbeing of all humans, but young people are particularly vulnerable. Emerging evidence has found that young people’s awareness of climate change and the danger it poses to the planet can lead to negative emotions. To increase our understanding about this, survey instruments are needed that measure the negative emotions young people experience about climate change. RESEARCH QUESTIONS: (1) What survey instruments are used to measure negative emotional responses to climate change in young people? (2) Do survey instruments measuring young people’s negative emotional responses to climate change have evidence of reliability and validity? (3) What factors are associated with young people’s negative emotional responses to climate change? METHODS: A systematic review was conducted by searching seven academic databases on November 30, 2021, with an update on March 31, 2022. The search strategy was structured to capture three elements through various keywords and search terms: (1) negative emotions, (2) climate change, and (3) surveys. RESULTS: A total of 43 manuscripts met the study inclusion criteria. Among the 43 manuscripts, 28% focused specifically on young people, while the other studies included young people in the sample but did not focus exclusively on this population. The number of studies using surveys to examine negative emotional responses to climate change among young people has increased substantially since 2020. Survey instruments that examined worry or concern about climate change were the most common. CONCLUSION: Despite growing interest in climate change emotions among young people, there is a lack of research on the validity of measures of such emotions. Further efforts to develop survey instruments geared to operationalize the emotions that young people are experiencing in relation to climate change are needed.
BACKGROUND: Climate change is a health emergency. Each year, it is estimated to cost more than 230 million years of life expectancy, with 4-9 million premature deaths associated with air pollution, and 9 million excess deaths due to non-optimal temperatures, representing 7% more temperature-related deaths since 2015 and 66% more since 2000. OBJECTIVE: Identify and evaluate the reliability, fidelity, and validity of instruments measuring nurses’ knowledge and awareness of climate change and climate-associated diseases. METHODS: A systematic literature review will retrieve and assess studies examining instruments measuring nurses’ knowledge and awareness of climate change and climate-associated diseases. Using predefined search terms for nurses, climate change, literacy and scales or tools, we will search for published articles recorded in the following electronic databases, with no language or date restrictions, from their inception until 31 October 2023: Medline Ovid SP (from 1946), PubMed (NOT Medline[sb], from 1996), Embase.com (from 1947), CINAHL Ebesco (from 1937), the Cochrane Library Wiley (from 1992), Web of Science Core Collection (from 1900), the Trip Database (from 1997), JBI OVID SP (from 1998), and the GreenFILE EBSCO. We will also hand-search relevant articles’ bibliographies and search for unpublished studies using Google Scholar, ProQuest Dissertations and Theses Global, and DART-EUrope.eu. This will be completed by exploring the gray literature in OpenGrey and the Grey Literature Report, from inception until 31 October 2023, in collaboration with a librarian. Twelve bibliographic databases will be searched for publications up to 31 October 2023. The papers selected will be assessed for their quality. RESULTS: The electronic database searches were completed in May 2023. Retrieved articles are being screened, and the study will be completed by October 2023. After removing duplicates, our search strategy has retrieved 3449 references. CONCLUSIONS: This systematic review will provide specific knowledge about instruments to measure nurses’ knowledge, awareness, motivation, attitudes, behaviors, beliefs, skills, and competencies regarding climate change and climate-associated diseases.
Dengue fever is a rapidly spreading mosquito-borne contagion. However, the effects of extreme rainfall events on dengue occurrences have not been widely evaluated. With their immense precipitation and high winds, typhoons may have distinct effects on dengue occurrence from those during other heavy rain events. Frequented by typhoons and situated in the tropical climate zone, southern Taiwan is an appropriate study area due to its isolated geographic environment. Each subject to distinct orographic effects on typhoon structure and typhoon-induced precipitation, 9 typhoon trajectories around Taiwan have not been observed until now. This study analyzes typhoon-induced precipitation and examines historical typhoon events by trajectory to determine the effects of typhoons on dengue occurrences in different urban contexts of Tainan and Kaohsiung in high-epidemic southern Taiwan. We employed data from 1998 to 2019 and developed logistic regression models for modeling dengue occurrence while taking 28-day lag effects into account. We considered factors including typhoon trajectory, occurrence, and typhoon-induced precipitation to dengue occurrences. Our results indicate that typhoon trajectories are a significant risk factor for dengue occurrence. Typhoons affect dengue occurrence differently by trajectory. One out of four northbound (along the Taiwan Strait) and four out of five westbound (across Taiwan) typhoons were found to be positively correlated with dengue occurrences in southern Taiwan. We observe that typhoon-induced precipitation is not associated with dengue occurrence in southern Taiwan, which suggests that wind destruction during typhoon events may serve as the primary cause for their positive effects by leaving debris suitable for mosquito habitats. Our findings provide insights into the impact of typhoons by trajectory on dengue occurrence, which can improve the accuracy of future dengue forecasts in neighboring regions with similar climatic contexts.
Rising levels of Environmental Air Pollution (EAP) caused by wildfires and traffic emissions impact Indoor Air Quality (IAQ) by penetrating buildings through air conditioning intakes and door and window openings. Exposure to fine Particulate Matter (PM2.5) causes building occupant discomfort and significant health issues. Hence, it is vital to continuously monitor the PM2.5 exposure level and the general IAQ of buildings. This study uses Internet of Things (IoT) sensors to investigate the temporal and spatial correlations between indoor and outdoor PM2.5 concentrations in a university building in Sydney, Australia, over five months. Sensor measurements are used to determine the Indoor to Outdoor (I/O) ratio and Exceedance Index (E-index). The study timeline included impacts associated with Hazard Reduction Burning (HRB) and localized peak traffic flow. The findings reveal that the closest indoor area to the building entrance exceeded double the World Health Organization (WHO) PM2.5 recommended threshold for more than 80% of the study period. Results also confirm a negative correlation between the distance from ground level and indoor PM2.5 exposure. An hourly analysis shows that the PM2.5 concentrations in Winter increase overnight. During HRB in Winter, the I/O ratios increased by up to 200% on average during regular HVAC operating hours. Localized outdoor readings were also compared with the nearest regional air quality monitoring station (RAQMS). Those results indicate that the average PM2.5 for the local outdoor sensor was approximately 2.5 times higher than the nearest RAQMS, confirming that regional stations may not be reliable references for localized PM2.5 concentrations.
Beset by the effects of climate change, the island nation of Kiribati now faces increasing child malnutrition and a shortage of specialists to treat them. Jacqui Thornton reports.
Assessment of the relative impact of climate change on malaria dynamics is a complex problem. Climate is a well-known factor that plays a crucial role in driving malaria outbreaks in epidemic transmission areas. However, its influence in endemic environments with intensive malaria control interventions is not fully understood, mainly due to the scarcity of high-quality, long-term malaria data. The demographic surveillance systems in Africa offer unique platforms for quantifying the relative effects of weather variability on the burden of malaria. Here, using a process-based stochastic transmission model, we show that in the lowlands of malaria endemic western Kenya, variations in climatic factors played a key role in driving malaria incidence during 2008-2019, despite high bed net coverage and use among the population. The model captures some of the main mechanisms of human, parasite, and vector dynamics, and opens the possibility to forecast malaria in endemic regions, taking into account the interaction between future climatic conditions and intervention scenarios.
Discourse constitutes knowledge about something and the processes by which we come to know it. This is true in formal education and everyday life. In this way, both what students know about climate change and how they engage with publics about climate change are intertwined. Implementing teaching and learning about discourse in compulsory education is an opportunity to prepare young people to critically engage in public life by focusing on how to recognise and counter strategies that seek inaction as an appropriate response. In other words, by focusing on the strategies, impacts and effects of discourse in education about climate change, the ill effects of inaction associated with climate anxiety and climate fatigue can be “managed” in a long-term (re)imagination of an engaged public capable of working towards a sustainable, shared future. We contend that education about climate change discourse in global compulsory education curricula can provide young people opportunities to learn not only about climate change science, but about how to (re)consider discursive strategies used by others that otherwise promote and resist calls for action. This can produce a new generation of citizens capable, motivated and prepared to actively engage climate change discourse in public life.
BACKGROUND: Anopheles stephensi is a malaria-transmitting mosquito that has recently expanded from its primary range in Asia and the Middle East, to locations in Africa. This species is a competent vector of both Plasmodium falciparum and Plasmodium vivax malaria. Perhaps most alarming, the characteristics of An. stephensi, such as container breeding and anthropophily, make it particularly adept at exploiting built environments in areas with no prior history of malaria risk. METHODS: In this paper, global maps of thermal transmission suitability and people at risk (PAR) for malaria transmission by An. stephensi were created, under current and future climate. Temperature-dependent transmission suitability thresholds derived from recently published species-specific thermal curves were used to threshold gridded, monthly mean temperatures under current and future climatic conditions. These temperature driven transmission models were coupled with gridded population data for 2020 and 2050, under climate-matched scenarios for future outcomes, to compare with baseline predictions for 2020 populations. RESULTS: Using the Global Burden of Disease regions approach revealed that heterogenous regional increases and decreases in risk did not mask the overall pattern of massive increases of PAR for malaria transmission suitability with An. stephensi presence. General patterns of poleward expansion for thermal suitability were seen for both P. falciparum and P. vivax transmission potential. CONCLUSIONS: Understanding the potential suitability for An. stephensi transmission in a changing climate provides a key tool for planning, given an ongoing invasion and expansion of the vector. Anticipating the potential impact of onward expansion to transmission suitable areas, and the size of population at risk under future climate scenarios, and where they occur, can serve as a large-scale call for attention, planning, and monitoring.
Health risk resulting from non-optimal temperature exposure, referred to as “systematic risk”, has been a sustainable-development challenge in the context of global warming. Previous studies have recognized interactions between and among system components while assessing the vulnerability to climate change, but have left open the question of indicator directional interactions. The question is important, not least because indicator directional association analysis provides guidance to address climate risks by revealing the key nodes and pathways. The purpose of this work was to assess health vulnerability to short-term summer heat exposure based on a directional interaction network. Bayesian network model and network analysis were used to conduct a directional interaction network. Using indicator directional associations as weights, a weighted technique for the order of preference by similarity to ideal solution method was then proposed to assess heat-related health vulnerability. Finally, hotspots and coping strategies were explored based on the directional interaction network and health vulnerability assessments. The results showed that (1) indicator directional interactions were revealed in the health vulnerability framework, and the interactions differed between northern and southern China; (2) there was a dramatic spatial imbalance of health vulnerability in China, with the Beijing-Tianjin-Hebei Region and the Yangtze River Basin identified as hotspots; (3) particulate matter and ozone were recognized as priority indicators in the most vulnerable cities of northern China, while summer heat exposure level and variation were priority indicators in southern China; and (4) adaptive capacity could alter the extent of risk; thus, mitigation and adaptation should be implemented in an integrated way. Our study has important implications for strengthening the theoretical basis for the vulnerability assessment framework by providing indicator directional associations and for guiding policy design in dealing with heat-related health vulnerability in China.
As the shallow mineral resources are nearly depleted, the mining of deep resources has become an urgent problem to be studied. The increase in mine depth can lead to the increase of mine heat hazard, which is a critical concern for mining safety/occupational health and safety. However, there are limited review articles available regarding the prevention of mine heat hazard. To fill in this gap, a bibliometric analysis and knowledge mapping of the field of mine heat hazard prevention are presented in this paper. A total of 314 papers from the Web of Science (WOS) core collection database that published between January 1998 and July 2022 were analyzed using VOSviewer and CiteSpace. China, South Africa, Poland, USA, and Australia are the top five countries in this field. The important journals are Applied Thermal Engineering, Applied Energy, Energies, and International Journal of Mining Science and Technology. In addition, the research focal points and two research fronts were identified and discussed. The knowledge base of mine heat hazard research focuses on mine cooling technology, energy efficiency optimization of cooling systems, thermodynamic theory, and occupational health. There are two research fronts. One is to use the numerical simulation method to study various problems such as simulate the performance of refrigeration systems and thermal comfort in mines. The second is to study the occupational health impact of climate change on miners. Therefore, this paper provides readers and academics with an overview of the intellectual structure and knowledge body that have been developed on the subject of mine heat hazard.
The need to assess and measure how social vulnerability influences the health impacts of climate change has resulted in a rapidly growing body of research literature. To date, there has been no overarching, systematic examination of where this evidence is concentrated and what inferences can be made. This scoping review provides an overview of studies published between 2012 and 2022 on social vulnerability to the negative health effects of climate change. Of the 2115 studies identified from four bibliographic databases (Scopus, Web of Science, PubMed, and CAB Direct), 230 that considered indicators of social vulnerability to climate change impacts on health outcomes were selected for review. Frequency and thematic analyses were conducted to establish the scope of the social vulnerability indicators, climate change impacts, and health conditions studied, and the substantive themes and findings of this research. 113 indicators of social vulnerability covering 15 themes were identified, with a small set of indicators receiving most of the research attention, including age, sex, ethnicity, education, income, poverty, unemployment, access to green and blue spaces, access to health services, social isolation, and population density. The results reveal an undertheorisation and few indicators that conceptualise and operationalise social vulnerability beyond individual sociodemographic characteristics by identifying structural and institutional dimensions of vulnerability, and a preponderance of social vulnerability research in high-income countries. This Review highlights the need for future research, data infrastructure, and policy attention to address structural, institutional, and sociopolitical conditions, which will better support climate resilience and adaptation planning.
BACKGROUND: Climate change is increasing the dispersion of mosquitoes and the spread of viruses of which some mosquitoes are the main vectors. In Quebec, the surveillance and management of endemic mosquito-borne diseases, such as West Nile virus or Eastern equine encephalitis, could be improved by mapping the areas of risk supporting vector populations. However, there is currently no active tool tailored to Quebec that can predict mosquito population abundances, and we propose, with this work, to help fill this gap. METHODS: Four species of mosquitos were studied in this project for the period from 2003 to 2016 for the southern part of the province of Quebec: Aedes vexans (VEX), Coquillettidia perturbans (CQP), Culex pipiens-restuans group (CPR) and Ochlerotatus stimulans group (SMG) species. We used a negative binomial regression approach, including a spatial component, to model the abundances of each species or species group as a function of meteorological and land-cover variables. We tested several sets of variables combination, regional and local scale variables for landcover and different lag period for the day of capture for weather variables, to finally select one best model for each species. RESULTS: Models selected showed the importance of the spatial component, independently of the environmental variables, at the larger spatial scale. In these models, the most important land-cover predictors that favored CQP and VEX were ‘forest’, and ‘agriculture’ (for VEX only). Land-cover ‘urban’ had negative impact on SMG and CQP. The weather conditions on the trapping day and previous weather conditions summarized over 30 or 90 days were preferred over a shorter period of seven days, suggesting current and long-term previous weather conditions effects on mosquito abundance. CONCLUSIONS: The strength of the spatial component highlights the difficulties in modelling the abundance of mosquito species and the model selection shows the importance of selecting the right environmental predictors, especially when choosing the temporal and spatial scale of these variables. Climate and landscape variables were important for each species or species group, suggesting it is possible to consider their use in predicting long-term spatial variationsin the abundance of mosquitoes potentially harmful to public health in southern Quebec.
Aim: The main aim of this review article is to present a systematic review on “Mapping the Impact of Environmental Pollutants on Human Health and Environment: A Systematic Review and Meta-Analysis”.Methodology: The literature review was carried out using scientific databases like Scopus, Web of Science, Science Direct, ResearchGate, Google Scholar and PubMed up to May 2023 by adopting PRSIMA methodology. The keywords used were “Environmental Pollutants”, “Human Health Risks”, “Environmental Contaminants”, “Carcinogenic Pollutants”, “Heavy Metals”, and “Health Effects”.Results: The results compiled from various sources showed that prolonged exposure to pollutants is associated with human health effects. Due to these toxic pollutants present in more than their permissible limit in the environment. These are causing a serious damage in the natural environment as well as human health. The major human health risk associated are digestive disorders, organ damage, gastrointestinal issues, organ damage, cancer, lowering the immune system, hepatotoxicity, neurotoxicity, nephrotoxicity, endocrine disruptions and ultimately leading to the death. These toxic pollutants are also disturbing the climate, eutrophication, ozone layer depletion, acid rain, global warming and disrupting the geochemical cycles in the environment.Conclusion: As a result of the in-depth meta-analysis of the previous published literature on environmental pollutants. It has become evident that the presence of these pollutants poses a grave threat to the well-being of humans and the delicate balance of ecosystems. According to the findings of this review, exposure to environmental pollutants can result in a number of health problems in humans and disturbing the natural environment.
Crimean-Congo haemorrhagic fever (CCHF) is the most widely distributed tick-borne viral disease in humans and is caused by the Crimean-Congo haemorrhagic fever virus (CCHFV). The virus has a broader distribution, expanding from western China and South Asia to the Middle East, southeast Europe, and Africa. The historical known distribution of the CCHFV vector Hyalomma marginatum in Europe includes most of the Mediterranean and the Balkan countries, Ukraine, and southern Russia. Further expansion of its potential distribution may have occurred in and out of the Mediterranean region. This study updated the distributional map of the principal vector of CCHFV, H. marginatum, in the Old World using an ecological niche modeling approach based on occurrence records from the Global Biodiversity Information Facility (GBIF) and a set of covariates. The model predicted higher suitability of H. marginatum occurrences in diverse regions of Africa and Asia. Furthermore, the model estimated the environmental suitability of H. marginatum across Europe. On a continental scale, the model anticipated a widespread potential distribution encompassing the southern, western, central, and eastern parts of Europe, reaching as far north as the southern regions of Scandinavian countries. The distribution of H. marginatum also covered countries across Central Europe where the species is not autochthonous. All models were statistically robust and performed better than random expectations (p < 0.001). Based on the model results, climatic conditions could hamper the successful overwintering of H. marginatum and their survival as adults in many regions of the Old World. Regular updates of the models are still required to continually assess the areas at risk using up-to-date occurrence and climatic data in present-day and future conditions.
Flooding has become one of the most dangerous and expensive disasters due to urbanization and climate change. Tools for assessing flood impact are required to support the shift of flood mitigation management from post-disaster recovery and reconstruction to community-driven pre-disaster warning and preparation. This study aims to develop an integrated approach to spatially assess the economic and social losses and ecological gain and identify the geographical factors of locations with high impacts of floods in Brisbane using the datasets collected from both the 2011 and 2022 flood events. Water depth, inundated area, land cover, ecosystem service value, mortality, and morbidity were considered to assess flood impacts. It is found that downstream (above 23,500 m from the upper stream) riverside communities (within 800 m of the river) with low altitudes (below 15 m) are more likely to experience significant flood damage. Flood impacts have bell-shaped developments with elevation and direct distance to the upstream river source and an exponential decline with distances to the river. These findings have implications for formulating future urban land use and community-tailored mitigation strategies, particularly for flood warning and preparation.
Solar ultraviolet-B (UV-B) radiation has played a crucial role in the evolution of life on Earth, and potential changes in its levels could affect the health and functionality of humans and the ecosystems. UV exposure presents both risks and benefits to humans. However, optimal UV-B radiation exposure depends on several environmental and physiological factors and cannot be easily determined. The present document provides a review of the current state of knowledge relative to the effects of UV-B radiation on human health. A brief description of the physical mechanisms that control the levels of solar UV-B radiation at the Earth’s surface is provided, with special emphasis on the role of ozone and the importance of the Montreal Protocol. A comprehensive review of studies reporting current trends in levels of surface solar UV-B radiation and projections of future levels reveals the dominant role of climatic changes in the long-term variability of UV-B radiation and its impact on the development of melanomas as well as eye disorders. The review provides strong evidence that despite the success of the Montreal Protocol and the expected ozone recovery, the future evolution of the levels of solar UV-B radiation at the Earth’s surface is not certain.
In November 2022, a climate change performance index report released at the COP27 United Nations conference in Egypt, ranked Australia 55th on a list of 63 countries and country groupings in addressing the climate crisis. Australia is a leading development partner in the Pacific region; a region economically, environmentally, socially, and culturally impacted by climate change and global warming in the form of (e.g.,) rapid sea level rises, alarming shifts in marine ecosystems, and extreme weather events. How did Australia, a high-income country situated in the Pacific, become a nation that trails other developed countries in addressing climate change? Why has there been a lack of urgency for uptake of sustainable development policy and planning? A new Federal Government, elected in May 2022, has indicated willingness to meaningfully progress Australia’s interconnected climate change, wellbeing, and sustainability policy agendas, in which futures public health policy is inextricably linked. This change in government provides an important moment to review Australia’s sustainable-development climate change policy landscape over a 35-year period. By examining this landscape through a health lens, this paper can provide one of many critical perspectives tracing Australia’s slippage to the bottom of the global climate rankings today.
Sustainable food systems are essential to ensure food security and mitigate climate change. Adaptation to climate change is part and parcel of sustainable food systems. Prior literature merely documented the climate-smart agricultural practices and explored the relationship with food security of adopters without taking the period of the strategies into account. Therefore, this study explored the factors affecting sustainable adaptation to climate change and created a further link between sustainable adaptation to climate change and the food security of rural households. The cross-sectional data were collected from 384 farmers through a face-to-face survey in Pakistan, selected by a multistage random sampling method. An ordered probit model and propensity score matching technique were used to analyze the data. Education, farm size, credit access, extension services, internet use for agriculture information, women’s participation in farm-related decision making, and considering climate change a significant problem for agriculture were all positively influencing the sustainable adaptation to climate change at farms. The results indicated that farmers with a higher level of sustainable adaptation to climate change consumed more diversified diets and more daily calories as compared to those with a lower level of sustainable adaptation. Similarly, farmers with a lower level of sustainable adaptation to climate change had significantly lower food security than farmers with a high level of sustainable adaptation at their farms. This research indicated that farmers can gain food and nutrition benefits by becoming more sustainable adapters to climate change. This study has important policy implications for achieving sustainable development goals (SDGs) of zero hunger (SDG 2) and climate action (SDG 13) in developing countries.
The prevalence of glaucoma has seasonal variation in population, but the role of ambient temperature and its variation remains unclear in this seasonal trend. So, we conducted a time-stratified case-crossover study to examine the association of ambient temperature and temperature change between neighboring days (TCN) with the risk of acute glaucoma. Data on meteorological parameters and glaucoma outpatient visit between 2015 and 2021 covered all districts of Shanghai. Conditional logistic regression with distributed lag nonlinear model was applied to estimate the association of temperature or TCN with the risk of acute glaucoma. A total of 7,746 patients diagnosed with acute primary angle-closure glaucoma (APACG) were included in this analysis. We observed a significant increase in the risk of acute glaucoma with cold temperature and temperature drop. Compared with the referent temperature (32℃), moderate low (12 °C) and extreme low (4 °C) temperature exposures were associated with higher risk of acute glaucoma outpatient visit, with the highest cumulative OR of 1.46 (95% CI: 1.11, 1.91) and 1.50 (95% CI: 1.09, 2.06) over lag 0-2 days. Temperature drop (TCN = - 4 °C) also increases the risk of acute glaucoma (OR = 1.34, 95% CI: 1.07, 1.67) over lag 0-7 days, comparing with no temperature change. Patients of female and above age 65 were more vulnerable to cold exposure and temperature drop. This case-crossover study provided novel and robust individual-level evidence that low ambient temperature and temperature drop significantly increase the acute glaucoma risk. The findings provide protective strategies for glaucoma patient, especially for female and the old, under cold exposure and sudden temperature decline.
Non-optimum ambient temperature has recently been acknowledged as an independent risk factor for disease burden, but its impact on atrial fibrillation (AF) episodes was rarely evaluated. OBJECTIVES: To examine the associations between ambient non-optimum temperature and symptom onset of AF episodes and calculate the corresponding disease burden. METHODS: We conducted an individual-level, time-stratified, case-crossover analysis based on a nationwide registry, which comprises of 94,711 eligible AF patients from 1993 hospitals in 322 Chinese cities from January 2015 to December 2021. Multiple moving 24 h average temperatures prior to the symptom onset of AF episodes were calculated as lag days. The associations were analyzed using conditional logistic regression combined with distributed lag non-linear models with a duration of lag 0-7 days, after controlling for criteria air pollutants. Stratification analyses were performed to explore possible effect modifiers. RESULTS: There was a monotonically increasing relationship of AF onset risk with decreasing temperature. The excess AF risk occurred at lag 1 d and lasted for 5 days. Nationally, the cumulative relative risk of AF episode onset associated with extremely low temperature (-9.3 °C) over lag 0-7 d was 1.25 (95 % confidence interval: 1.08, 1.45), compared with the reference temperature (31.5 °C). The exposure-response curve was steeper in the south than in the north where there was levelling-off at lower temperature. Nationally, 7.59 % of acute AF episodes could be attributable to non-optimum temperatures. The attributable fraction was larger for southern residents, males and patients <65 years. CONCLUSION: This nationwide study provides novel and robust evidence that declining ambient temperature could increase the risk of AF episode onset. We also provide the first-hand evidence that a considerable proportion of acute AF episodes could be attributable to non-optimum temperatures.
Zoonotic emerging diseases (ZEDs) are increasing and may deeply impact human wellbeing, but our recent survey of public opinion in six European countries (n = 2415 participants) suggests a low concern among Europeans about the risk associated with ZEDs. This contrasts with Europeans’ high awareness of climate change risks, which was confirmed by our survey. Given the increasing risk of ZEDs, it is therefore essential to increase Europeans’ awareness of their impacts. In addition, our study suggests that Europeans may be more likely to support sustainable environmental policies that would reduce the risk associated with ZEDs, consequently improving the human wellbeing.
Extreme heat events pose a significant threat to population health that is amplified by climate change. Traditionally, statistical models have been used to model heat-health relationships, but they do not consider potential interactions between temperature-related and air pollution predictors. Artificial intelligence (AI) methods, which have gained popularity for health applications in recent years, can account for these complex and non-linear interactions, but have been underutilized in modelling heat-related health impacts. In this paper, six machine and deep learning models were considered to model the heat-mortality relationship in Montreal (Canada) and compared to three statistical models commonly used in the field. Decision Tree (DT), Random Forest (RF), Gradient Boosting Machine (GBM), Single- and Multi-Layer Perceptrons (SLP and MLP), Long Short-Term Memory (LSTM), Generalized Linear and Additive Models (GLM and GAM), and Distributed Lag Non-Linear Model (DLNM) were employed. Heat exposure was characterized by air temperature, relative humidity and wind speed, while air pollution was also included in the models using five pollutants. The results confirmed that air temperature at lags of up to 3 days was the most important variable for the heat-mortality relationship in all models. NO(2) concentration and relative humidity (at lags 1 to 3 days) were also particularly important. Ensemble tree-based methods (GBM and RF) outperformed other approaches to model daily mortality during summer months based on three performance criteria. However, a partial validation during two recent major heatwaves highlighted that non-linear statistical models (GAM and DLNM) and simpler decision tree may more closely reproduce the spike of mortality observed during such events. Hence, both machine learning and statistical models are relevant for modelling heat-health relationships depending on the end user goal. Such extensive comparative analysis should be extended to other health outcomes and regions.
The Asian tiger mosquito, Aedes albopictus, is an important vector of arboviruses that cause diseases such as dengue, chikungunya, and zika. The vector is highly invasive and adapted to survive in temperate northern territories outside its native tropical and sub-tropical range. Climate and socio-economic change are expected to facilitate its range expansion and exacerbate the global vector-borne disease burden. To project shifts in the global habitat suitability of the vector, we developed an ensemble machine learning model, incorporating a combination of a Random Forest and XGBoost binary classifiers, trained with a global collection of vector surveillance data and an extensive set of climate and environmental constraints. We demonstrate the reliable performance and wide applicability of the ensemble model in comparison to the known global presence of the vector, and project that suitable habitats will expand globally, most significantly in the northern hemisphere, putting at least an additional billion people at risk of vector-borne diseases by the middle of the 21st century. We project several highly populated areas of the world will be suitable for Ae. albopictus populations, such as the northern parts of the USA, Europe, and India by the end of the century, which highlights the need for coordinated preventive surveillance efforts of potential entry points by local authorities and stakeholders.
BACKGROUND: Tuberculosis (TB) is a public health problem worldwide, and the influence of meteorological and air pollutants on the incidence of tuberculosis have been attracting interest from researchers. It is of great importance to use machine learning to build a prediction model of tuberculosis incidence influenced by meteorological and air pollutants for timely and applicable measures of both prevention and control. METHODS: The data of daily TB notifications, meteorological factors and air pollutants in Changde City, Hunan Province ranging from 2010 to 2021 were collected. Spearman rank correlation analysis was conducted to analyze the correlation between the daily TB notifications and the meteorological factors or air pollutants. Based on the correlation analysis results, machine learning methods, including support vector regression, random forest regression and a BP neural network model, were utilized to construct the incidence prediction model of tuberculosis. RMSE, MAE and MAPE were performed to evaluate the constructed model for selecting the best prediction model. RESULTS: (1) From the year 2010 to 2021, the overall incidence of tuberculosis in Changde City showed a downward trend. (2) The daily TB notifications was positively correlated with average temperature (r = 0.231), maximum temperature (r = 0.194), minimum temperature (r = 0.165), sunshine duration (r = 0.329), PM(2.5) (r = 0.097), PM(10) (r = 0.215) and O(3) (r = 0.084) (p < 0.05). However, there was a significant negative correlation between the daily TB notifications and mean air pressure (r = -0.119), precipitation (r = -0.063), relative humidity (r = -0.084), CO (r = -0.038) and SO(2) (r = -0.034) (p < 0.05). (3) The random forest regression model had the best fitting effect, while the BP neural network model exhibited the best prediction. (4) The validation set of the BP neural network model, including average daily temperature, sunshine hours and PM(10), showed the lowest root mean square error, mean absolute error and mean absolute percentage error, followed by support vector regression. CONCLUSIONS: The prediction trend of the BP neural network model, including average daily temperature, sunshine hours and PM(10), successfully mimics the actual incidence, and the peak incidence highly coincides with the actual aggregation time, with a high accuracy and a minimum error. Taken together, these data suggest that the BP neural network model can predict the incidence trend of tuberculosis in Changde City.
BACKGROUND: A direct consequence of global warming, and strongly correlated with poor physical and mental health, food insecurity is a rising global concern associated with low dietary intake. The Coronavirus pandemic has further aggravated food insecurity among vulnerable communities, and thus has sparked the global conversation of equal food access, food distribution, and improvement of food support programs. This research was designed to identify the key features associated with food insecurity during the COVID-19 pandemic using Machine learning techniques. Seven machine learning algorithms were used in the model, which used a dataset of 32 features. The model was designed to predict food insecurity across ten Arab countries in the Gulf and Mediterranean regions. A total of 13,443 participants were extracted from the international Corona Cooking Survey conducted by 38 different countries during the COVID -19 pandemic. RESULTS: The findings indicate that Jordanian, Palestinian, Lebanese, and Saudi Arabian respondents reported the highest rates of food insecurity in the region (15.4%, 13.7%, 13.7% and 11.3% respectively). On the other hand, Oman and Bahrain reported the lowest rates (5.4% and 5.5% respectively). Our model obtained accuracy levels of 70%-82% in all algorithms. Gradient Boosting and Random Forest techniques had the highest performance levels in predicting food insecurity (82% and 80% respectively). Place of residence, age, financial instability, difficulties in accessing food, and depression were found to be the most relevant features associated with food insecurity. CONCLUSIONS: The ML algorithms seem to be an effective method in early detection and prediction of food insecurity and can profoundly aid policymaking. The integration of ML approaches in public health strategies could potentially improve the development of targeted and effective interventions to combat food insecurity in these regions and globally.
This study integrated dynamic models and statistical methods to design a novel macroanalysis approach to judge the climate impacts. First, the incidence difference across Köppen-Geiger climate regions was used to determine the four risk areas. Then, the effective influence of climate factors was proved according to the non-climate factors’ non-difference among the risk areas, multi-source non-major component data assisting the proof. It is found that cold steppe arid climates and wet temperate climates are more likely to transmit SARS-CoV-2 among human beings. Although the results verified that the global optimum temperature was around 10 °C, and the average humidity was 71%, there was evident heterogeneity among different climate risk areas. The first-grade and fourth-grade risk regions in the Northern Hemisphere and fourth-grade risk regions in the Southern Hemisphere are more sensitive to temperature. However, the third-grade risk region in the Southern Hemisphere is more sensitive to relative humidity. The Southern Hemisphere’s third-grade and fourth-grade risk regions are more sensitive to precipitation.
Centralized water infrastructure has, over the last century, brought safe and reliable drinking water to much of the world. But climate change, combined with aging and underfunded infrastructure, is increasingly testing the limits of-and reversing gains made by-this approach. To address these growing strains and gaps, we must assess and advance alternatives to centralized water provision and sanitation. The water literature is rife with examples of systems that are neither centralized nor networked, yet meet water needs of local communities in important ways, including: informal and hybrid water systems, decentralized water provision, community-based water management, small drinking water systems, point-of-use treatment, small-scale water vendors, and packaged water. Our work builds on these literatures by proposing a convergence approach that can integrate and explore the benefits and challenges of modular, adaptive, and decentralized (“MAD”) water provision and sanitation, often foregrounding important advances in engineering technology. We further provide frameworks to evaluate justice, economic feasibility, governance, human health, and environmental sustainability as key parameters of MAD water system performance.This article is categorized under:Engineering Water > Water, Health, and SanitationHuman Water > Water GovernanceEngineering Water > Sustainable Engineering of Water
Health technology assessment (HTA) provides evidence-based information on healthcare technology to support decision making in many countries. Environmental impact is a relevant dimension of a health technology’s value, but it has been poorly addressed in HTA processes in spite of the commitment that the health sector must have to contribute to mitigating the effects of climate change. This study aims to identify the state of the art and challenges for quantifying environmental impacts that could be incorporated into the economic evaluation (EE) of HTA. We performed a scoping review that included 22 articles grouped into four types of contribution: (1) concepts to draw up a theoretical framework, (2) HTA reports, (3) parameter designs or suitable indicators, and (4) economic or budgetary impact assessments. This review shows that evaluation of the environmental impact of HTAs is still very incipient. Small steps are being taken in EE, such as carbon footprint estimations from a life-cycle approach of technologies and the entire care pathway.
The recent polycrises of COVID-19, economic recession, and energy price increases have reinforced the critical importance of energy services – such as heating, information and communications technology, and refrigeration – to everyday societal functioning. Compromising access to these energy services, or energy poverty, limits social and economic development affecting education, health, and social participation. Energy poverty is impacted by climate change and climate-related policies – however, this nexus has been marginalised within social policy. We critically review literature at the intersection of climate change and energy poverty identifying policy approaches, tensions, and solutions of relevance for social policy. While tensions exist between efforts to mitigate climate change and energy poverty, climate-friendly mitigation of energy poverty requires better integration of social perspectives to disrupt current technical biases, recognising the characteristics and needs of individuals in energy poverty, and holistic governance approaches, especially involving the health and housing sectors.
To quantify the current literature and limitations associated with research examining thermoregulatory and cardiovascular strain in laborers working in the heat. PubMed, SCOPUS, and SPORTDiscus were searched for terms related to the cardiovascular system, heat stress, and physical work. Qualifying studies included adult participants (18-65 years old), a labor-intensive environment or exercise protocol simulating a labor environment, a minimum duration of 120 min of physical work, and environmental heat stress (ambient temperature ≥26.0°C and ≥30% relative humidity). Studies included at least one of the following outcomes: pre- and peak physical work, core temperature, heart rate (HR), systolic blood pressure, diastolic blood pressure, HR variability, and rate pressure product.Twenty-one out of 1559 potential studies qualified from our search. There was a total of 598 participants (mean = 28 ± 50 participants per study, range = 4-238 participants per study), which included 51 females (8.5%) and 547 males (91.5%). Of the participants, 3.8% had cardiovascular risk factors (diabetes: n = 10; hypertension: n = 13) and 96.2% were characterized as “healthy”. Fifty-seven percent of the included studies were performed in a laboratory setting. Studies were predominantly in men (91.5%), laboratory settings (57%), and “healthy” individuals (96.2%). To advance equity in protection against occupational heat stress and better inform future heat safety recommendations to protect all workers, future studies must focus on addressing these limitations. Employers, supervisors, and other safety stakeholders should consider these limitations while implementing current heat safety recommendations.
Coastal areas have long been attractive places to live, work, and recreate and remain so even in the face of growing threats from global environmental change. At any moment, a significant portion of the human population is exposed to both positive and negative health effects associated with coastal locations. Some locations may be “hotspots” of concern for human health due to ongoing climatic and other changes, accentuating the need for better understanding of coastal environment-human health linkages. This paper describes how environmental and health data could be combined to create a coastal environmental and human health observing system. While largely based on information from the US and Europe, the concept should be relevant to almost any coastal area. If implemented, a coastal health observing system would connect a variety of human health data and environmental observations for individuals and communities, and where possible cohorts. Health data would be derived from questionnaires and other personal sources, clinical examinations, electronic health records, wearable devices, and syndromic surveillance, plus information on vulnerability and health-relevant community characteristics, and social media observations. Environmental data sources would include weather and climate, beach and coastal conditions, sentinel species, occurrences of harmful organisms and substances, seafood safety advisories, and distribution, proximity, and characteristics of health-promoting green and blue spaces. Where available, information on supporting resources could be added. Establishment of a linked network of coastal health observatories could provide powerful tools for understanding the positive and negative health effects of coastal living, lead to better health protections and enhanced wellbeing, and provide significant benefits to coastal residents, including the historically disadvantaged, as well as the military, hospitals and emergency departments, academic medical, public health, and environmental health programs, and others. Early networks could provide best practices and lessons learned to assist later entries.
As a result of climatically regulated water sources, smallholder farming households in South Africa are severely impacted by climate change. Using the Livelihood Vulnerability Index, we assessed the vulnerability of smallholder farming households to climate change in Thaba Nchu, Mangaung District of the Free State Province of South Africa. Primary data from 301 smallholder farming households were collected and augmented with secondary data on temperature and rainfall from 2010 to 2020. The study found that farming households in Central Thaba Nchu are more vulnerable than those in North and South Thaba Nchu in terms of adaptive capacity: social network, livelihoods strategies, and socio-demographic structure. The Central Thaba Nchu were likewise more vulnerable to water resources than the Northern and Southern Thaba Nchu. However, Northern Thaba Nchu is more exposed and sensitive to health-related difficulties than Central and Southern Thaba Nchu. The study recommends that non-government and government institutions in the province should employ a pragmatic method to evaluate vulnerability using climate service information while prioritizing vulnerable households for adaptation support to improve adaptive capacity and resilience. The findings also imply that weather forecasters, in partnership with agricultural extension agents, must provide farmers with timely and adequate climate information reports to prepare them for climatic shocks. Moreover, it is important to deliver climate service information that is genuine, significant, and reliable.
The latest IPCC assessment reports (2021, 2022 and 2023) confirm the devastating impacts of climate change are being felt with increasing frequency and intensity, with these impacts causing profound changes in the livelihoods of remote communities. People who are heavily dependent on agriculture, fisheries and forestry are particularly impacted, with risks and vulnerabilities increasing. These communities are already adapting their livelihoods, yet they often face con-strained access to critical information, social safety nets, knowledge and skills, and technology, for effective adaptation to climate change. More importantly, they are typically outside the mainstream decision making and socio-economic structures that provide vital support during times of crisis. This article synthesizes analysis of the climate change impacts on, and adaptation by, remote communities living in very different environments – the tropical islands of the South Pacific, the mountains of the Himalaya in Nepal, and the deserts of central Australia. The authors’ analysis informs discussion about the limitations and strengths of local adaptation by remote communities and what strategies can support them build resilience.
Natural disasters in the Central Highlands of Vietnam are increasing and therefore becoming a concern for the provincial governments. The local authorities’ recent ability to respond to natural disasters in the region is considered ineffective, as evidenced by the increasing number of deaths and economic losses. Here, we focus on presenting and analyzing the current capacity of local authorities in the Central Highlands of Vietnam to respond to natural disasters in a normal state and in transitioning to an emergency state. We also provide evidence of natural disasters that have occurred and the actions undertaken by the Central Highlands provinces over the period 2015-2021. Our analysis shows that the capacity of local authorities to respond to natural disasters in the region is not commensurate with the actual requirements, in the dry season, the drought area increases, in the rainy season floods occur more, and human losses and economic losses have not been controlled. We propose that first of all, the government needs to have a system of timely guidance documents, the coordination between relevant agencies, secondly, that civil servants working in disaster response work must be capable, thirdly, the government must there should be publicity on how to respond, four is to limit the hot growth of projects such as hydroelectric projects, five is that the government must have a long-term master plan and sixth is to pay attention to livelihoods, education level of local ethnic people. These proposals can gradually control and limit the damage caused by increasingly severe natural disasters in the Central Highlands.
Global food security can be threatened by short-term extreme events that negatively impact food production, food purchasing power, and agricultural economic activity. At the same time, environmental pollutants like greenhouse gases (GHGs) can be reduced due to the same short-term extreme stressors. Stress events include pandemics like COVID-19 and widespread droughts like those experienced in 2015. Here we consider the question: what if COVID-19 had co-occurred with a 2015-like drought year? Using a coupled biophysical-economic modeling framework, we evaluate how this compound stress would alter both agricultural sector GHG emissions and change the number of undernourished people worldwide. We further consider three interdependent adaptation options: local water use for crop production, regional shifts in cropland area, and global trade of agricultural products. We find that GHG emissions decline due to reduced economic activity in the agricultural sector, but this is paired with large increases in undernourished populations in developing nations. Local and regional adaptations that make use of natural resources enable global-scale reductions in impacted populations via increased global trade.
Thermal comfort assessments at local or micro-scales within urban areas can provide crucial insights for the urban adaptation strategies pertaining to climate-conscious urban planning and public health. However, the availability of long-term or mid-term daily or hourly meteorological data sets from urban environments remains a significant challenge even in the 21st century. Consequently, this study aimed to assess the thermal conditions in cities across the western part of the Balkan Peninsula, encompassing five countries (Slovenia, Croatia, Serbia, Bosnia and Herzegovina, and Montenegro), by utilizing the Physiological Equivalent Temperature (PET) index. Meteorological data sets, comprising air temperature, relative humidity, wind speed, and cloudiness, were collected from 32 national meteorological stations/measurement locations spanning the period from 2001 to 2020. The PET calculations were conducted based on meteorological data measured three times per day (7 a.m., 2 p.m., and 9 p.m.). Upon conducting a spatial analysis of the meteorological stations, it was observed that most of them (25 stations) were situated within built-up areas or urban suburbs, rendering them highly relevant for local or micro-scale climate and bioclimate assessments. The findings revealed that urban locations exhibited slightly higher PET heat stress levels, particularly during the summer season and at 2 p.m. Moreover, higher average PET values were observed in both urban and non-urban stations situated within a continental climate during warmer periods, such as summer. In contrast, during the colder seasons, namely winter and spring, higher PET values were prevalent in the Mediterranean region. Furthermore, the PET frequency analysis revealed a greater prevalence of extreme and severe heat stress levels in stations within continental climates, particularly those located in urban areas, as compared to stations in Mediterranean climates. In contrast, during the winter and spring seasons, monitoring stations in close proximity to the Adriatic Sea, characterized by a Mediterranean climate, exhibited significantly lower levels of cold stress compared to inland stations. Evidently, in addition to the climatic characteristics and surrounding terrain, the urban morphology significantly impacts the thermal conditions within cities.
Background: Cervical, endometrial, and ovarian cancers are three major gynecological cancers (GCs) leading to heavy disease burden and high mortality among women worldwide, which are associated with environmental exposure. However, the role of air pollution and temperature on GCs remains unclear.Objective: To assess the combined effects of short-term, medium-term, and long-term exposure to ambient air pollution and temperature indicators on GCs in women.Methods: A case-control study was conducted in XiangYa Hospital from 2010 to 2018 at Changsha, China. A standard questionnaire was designed to collect the health status and personal factors of 305 cases with GCs including cervical, endometrial, and ovarian cancers and 399 healthy women as control group. Personal expo-sure to ambient air pollution (PM10, SO2, and NO2), temperature, and diurnal temperature variation (DTV) during past one year, past five years, and past ten years was calculated by inverse distance weighted (IDW) method based on each subject’s home address. Multiple logistic regression model was used to analyse the relationship of GCs with outdoor air pollution and temperature indicators.Results: Exposure to NO2 during past five years and past ten years was significantly associated with GCs, with adjusted ORs (95% CI) of 1.40 (1.02-1.91) and 1.41 (1.03-1.93). Furthermore, an increase in temperature during past ten years was related with GCs, with OR (95% CI) = 1.95 (1.16-3.25). We strikingly found that high temperature increased the effect of long-term exposure to PM10 and NO2 during past ten years on GCs, while low DTV elevated GCs risk of air pollution exposure. Sensitivity analysis suggests that some specific subjects were more susceptible to the effect of air pollution and temperature indicators on GCs.Conclusion: Relatively long-term exposure to traffic-related air pollution (NO2) and increased temperature played important roles in the development of women’s GCs. There may be interactions between air pollution and temperature indicators on GCs.
The intensity and frequency of wildfires is increasing globally. The systematic review of the current evidence on long-term impacts of non-occupational wildfire exposure on human health has not been performed yet. To provide a systematic review and identify potential knowledge gaps in the current evidence of long-term impacts of non-occupational exposure to wildfire smoke and/or wildfire impacts on human health. We conducted a systematic search of the literature via MEDLINE, Embase and Scopus from the database inception to July 05, 2022. References from the included studies and relevant reviews were also considered. The Newcastle-Ottawa Scale (NOS) and a validated quality assessment framework were used to evaluate the quality of observational studies. Study results were synthesized descriptively. A total of 36 studies were included in our systematic review. Most studies were from developed countries (11 in Australia, 9 in Canada, 7 in the United States). Studies predominantly focused on mental health (21 studies, 58.33%), while evidence on long-term impacts of wildfire exposure on health outcomes other than mental health is limited. Current evidence indicated that long-term impacts of non-occupational wildfire exposure were associated with mortality (COVID-19 mortality, cardiovascular disease mortality and acute myocardial disease mortality), morbidity (mainly respiratory diseases), mental health disorders (mainly posttraumatic stress disorder), shorter height of children, reduced lung function and poorer general health status. However, no significant associations were observed for long-term impacts of wildfire exposure on child mortality and respiratory hospitalizations. The population-based high-quality evidence with quantitative analysis on this topic is still limited. Future well-designed studies considering extensive wildfire smoke air pollutants (e.g., particulate matter, ozone, nitrogen oxides) and estimating risk coefficient values for extensive health outcomes (e.g., mortality, morbidity) are warranted to fill current knowledge gaps.
BACKGROUND: Public health practice and efforts to improve the social determinants of health operate within a climate characterised by multiple and intersecting crises. This includes the COVID-19 pandemic as well as more protracted crises such as climate change and persistent social inequalities that impact health. We sought to understand and compare how knowledge exchange (KE) processes occur across different crises, and how knowledge on improving social determinants of health can be utilised at times of crisis to reduce health inequalities and strengthen public systems. METHODS: We conducted a scoping review to understand how KE on improving social determinants of health can occur across different types of crises (e.g. environmental, pandemics, humanitarian). Relevant studies were identified through electronic searching of Medline, EMBASE, Global Health, Scopus and Web of Science databases. RESULTS: We identified 86 studies for inclusion in the review. Most studies concerned pandemic or environmental crises. Fewer studies explored KE during technical (e.g. nuclear), terror-related or humanitarian crises. This may reflect a limitation of the searches. Few studies assessed KE as part of longer-term responses to social and economic impacts of crises, with studies more likely to focus on immediate response or early recovery stages. Exchange of research evidence or data with policy or practice contextual knowledge was common but there was variation in the extent that lay (public) knowledge was included as part of KE processes. CONCLUSION: As ongoing crises continue with significant public health implications, KE processes should appropriately reflect the complexity inherent in crises and foreground health inequalities. Doing so could include the utilisation of systems or complexity-informed methods to support planning and evaluation of KE, a greater focus on KE to support action to address social determinants of health, and the inclusion of a plurality of knowledge-including lived experience-in planning and responding to crises.
INTRODUCTION: Heat-related illnesses are a global concern, affecting millions of people and leading to numerous deaths annually. Since military personnel are exposed to heat, the purpose of the study was to evaluate military personnel’s knowledge, attitudes, and practices (KAP) related to heat-related illnesses. Their KAP may help to prevent heat-related illness. Methods: We conducted a cross-sectional study using a structured online questionnaire on 168 military personnel who were training and working in a high-temperature and high-humidity environment all year round in Jeddah, Saudi Arabia. The questionnaire assessed the KAP and associated factors and was distributed as a Google Form. RESULTS: The mean knowledge score was 9.04 (range = 2-13, SD = 1.832), the mean awareness score was 9.61 (range = 4-15, SD = 2.415), and the mean practice score was 3.39 (range = 0-6, SD = 1.703). Most participants correctly identified symptoms (n=130; 77.4%). In terms of attitudes, most participants showed a good attitude (n=151; 81%), though 24.4% did not perceive the risk. Regarding practice, most were attentive to heat-related illness signs and hydration(75.6%), but there were gaps in receiving briefings from doctors (69%) and adequate guidance on treatment (56%). There was a split opinion on whether commanders adjust field activities based on temperature warnings (54.8% Yes, 45.2% No). There were no significant differences in knowledge scores based on age or educational level (both p>0.05), while some age and education-related differences were noted in practice scores (p<0.05). There was a positive correlation between knowledge and attitudes (r = 0.222, p = 0.004), knowledge and practices (r = 0.165, p = 0.033), and attitudes and practice (r=0.326, p < 0.001). CONCLUSION: Our study found that military personnel generally possess good knowledge of heat-related illnesses and good attitudes and practices concerning heat-related illnesses. However, there are areas in need of improvement, and enhancing awareness and practical implementation of preventive measures, along with the development of precise guidance and protocols, should involve active collaboration between military commanders and healthcare professionals.
The heat reduction effect of trees has been investigated through numerical simulations; however, there are still challenges to applying the scientific results to the planning process due to the model’s complexity and the computational resources required. This study investigates a rapid spatial evaluation method for heat stress potential, measured by mean radiant temperature (MRT), by decomposing radiation into sub-radiation using a multilayer MRT model. This method also enables the reproduction of optimized layouts considering the effect of tree arrangement in residential buildings. Multi-objectives were achieved through an evolutionary algorithm, resulting in more effective design layouts combining tree types and arrangements, all within a standard budget. By adopting this study’s approach, landscape designers can create climate-responsive tree layouts with reduced heat exposure and generate customized planting designs tailored to their preferences.
Landslides are a geological hazard commonly induced by rainfall, earthquakes, deforestation, or human activity causing loss of human life every year specially on highlands or mountain slopes with serious impacts that threaten communities and its infrastructure. The incidence and recurrence of landslides are conditioned by several aspects related to soil properties, geological structure, climatic conditions, soil cover, and water flow. Precisely, Colombia is one of the most affected by this type of natural hazard, as well as by floods, since they are the natural phenomena that bring with them the most severe risks for communities. In this work, we articulated the statistical approach of the landslide conditioning factors, Machine Learning Algorithms (MLA), and Geographic Information System (GIS), evaluating a flexible and agile methodology to estimate the landslide susceptibility defining areas prone to the landslide occurrence. The MLA were validated in a case study in the “La Liboriana” River basin, located in the Municipality of Salgar in the Colombian mountains Andes where Landslide Susceptibility Maps (LSMs) were obtained. The obtained MLA results hold immense potential in the field of regional landslide mapping, facilitating the development of effective strategies aimed at minimizing the devastating impacts on human lives, infrastructure, and the natural environment. By leveraging these findings, proactive measures can be devised to safeguard vulnerable areas, mitigate risks, and ensure the safety and well-being of communities. Seven supervised MLA were employed, two regression algorithms (Logistic) and five decision tree algorithms (Recursive Partitioning and Regression Trees [RPART], Conditional Inference Trees [CTREE], Random Forest [RF], Ranger, and Extreme Gradient Boosting Algorithm [XGBoost]). The LSMs were produced for each MLA. Considering different performance metrics, the RF model yields the best classification accuracy with an area under receiver operating characteristic (ROC) curve of 95% and 90% of accuracy, providing the most representative results. Finally, the contribution of each landslide conditioning factor on predictions with RF model is explained using the SHAP method.
Many urban climates are characterized by increased temperature and decreased relative humidity, under climate change and compared to surrounding rural landscapes. The two trends have contrasting effects on human-perceived heat stress. However, their combined impact on urban humid heat and adaptation has remained largely unclear. Here, we use simulations from an earth system model to investigate how urbanization coupled with climate change affects urban humid heat stress, exposure, and adaptation. Our results show that urban humid heat will increase substantially across the globe by 3.1 degrees C by the end of the century under a high emission scenario. This projected trend is largely attributed to climate change-driven increases in specific humidity (1.8 degrees C), followed by air temperature (1.4 degrees C)-with urbanization impacts varying by location and of a smaller magnitude. Urban humid heat stress is projected to be concentrated in coastal, equatorial areas. At least 44% of the projected urban population in 2100, the equivalent of over 3 billion people worldwide, is projected to be living in an urban area with high humid heat stress. We show a critical, climate-driven dilemma between cooling efficacy and water limitation of urban greenery-based heat adaptation. Insights from our study emphasize the importance of using urban-explicit humid heat measures for more accurate assessments of urban heat exposure and invite careful evaluation of the feasibility of green infrastructure as a long-term cooling strategy.
Circulatory-system diseases (CSDs) are responsible for 50-60% of all deaths in Romania. Due to its continental climate, with cold winters and very warm summers, there is a strong temperature dependence of the CSD mortality. Additionally, within its capital Bucharest, the urban heat island (UHI) is expected to enhance (reduce) heat (cold)-related mortality. Using distributed lag non-linear models, we establish the relation between temperature and CSD mortality in Bucharest and its surroundings. A striking finding is the strong temperature-related response to high urban temperatures of women in comparison with men from the total CSDs mortality. In the present climate, estimates of the CSDs attributable fraction (AF) of mortality at high temperatures is about 66% higher in Bucharest than in its rural surroundings for men, while it is about 100% times higher for women. Additionally, the AF in urban areas is also significantly higher for elderly people, and for those with hypertensive and cerebrovascular diseases than in the rural surroundings. On the other hand, in rural areas, men but especially women are currently more vulnerable with respect to low temperatures than in the urban environment. In order to project future thermal-related mortality, we have used five bias-corrected climate projections from regional circulation models under two climate-change scenarios, RCP4.5 and RCP8.5. Analysis of the temperature-mortality associations for future climate reveals the strongest signal under the scenario RCP8.5 for women, elderly people as well as for groups with hypertensive and cerebrovascular diseases. The net AF increase is much larger in urban agglomeration for women (8.2 times higher than in rural surroundings) and elderly people (8.5 times higher than in rural surroundings). However, our estimates of thermal attributable mortality are most likely underestimated due to the poor representation of UHI and future demography.
This article examines innovations in the development and advancement of a school of nursing-led climate change center and innovative leadership related to climate change and health in nursing education. METHOD: The integration of health consequences of climate change in curricula and continuing education is essential to prepare nursing students and nurses for clinical practice. RESULTS: Transformational leadership is a key concept for effective leadership in nursing education to address climate change as the looming public health challenge of the 21st century. Transformational leadership strengthened one nursing program’s curricula, dissemination of relevant scholarship, and achievements with public health outreach related to climate change, climate justice, and health. CONCLUSION: Nursing education leaders can influence nursing practice and improve societal health outcomes related to the health consequences of climate change across all levels of education and continuing education for professional nurses. [J Nurs Educ. 2023;62(9):528-531.].
Leishmaniasis is the second deadliest vector-borne, neglected tropical zoonotic disease and is found in a variety of clinical forms based on genetic background. Its endemic type is present in tropical, sub-tropical and Mediterranean areas around the world which accounts for a lot of deaths every year. Currently, a variety of techniques are available for detection of leishmaniasis each technique having it’s own pros and cons. The advancing next-generation sequencing (NGS) techniques are employed to find out novel diagnostic markers based on single nucleotide variants. A total of 274 NGS studies are available in European Nucleotide Archive (ENA) portal (https://www.ebi.ac.uk/ena/browser/home) that focused on wild-type and mutated Leishmania, differential gene expression, miRNA expression, and detection of aneuploidy mosaicism by omics approaches. These studies have provided insights into the population structure, virulence, and extensive structural variation, including known and suspected drug resistance loci, mosaic aneuploidy and hybrid formation under stressed conditions and inside the midgut of the sandfly. The complex interactions occurring within the parasite-host-vector triangle can be better understood by omics approaches. Further, advanced CRISPR technology allows researchers to delete and modify each gene individually to know the importance of genes in the virulence and survival of the disease-causing protozoa. In vitro generation of Leishmania hybrids are helping to understand the mechanism of disease progression in its different stages of infection. This review will give a comprehensive picture of the available omics data of various Leishmania spp. which helped to reveal the effect of climate change on the spread of its vector, the pathogen survival strategies, emerging antimicrobial resistance and its clinical importance.
Leptospirosis is a zoonosis that has been linked to hydrometeorological variability. Hydrometeorological averages and extremes have been used before as drivers in the statistical prediction of disease. However, their importance and predictive capacity are still little known. In this study, the use of a random forest classifier was explored to analyze the relative importance of hydrometeorological indices in developing the leptospirosis model and to evaluate the performance of models based on the type of indices used, using case data from three districts in Kelantan, Malaysia, that experience annual monsoonal rainfall and flooding. First, hydrometeorological data including rainfall, streamflow, water level, relative humidity, and temperature were transformed into 164 weekly average and extreme indices in accordance with the Expert Team on Climate Change Detection and Indices (ETCCDI). Then, weekly case occurrences were classified into binary classes “high” and “low” based on an average threshold. Seventeen models based on “average,” “extreme,” and “mixed” indices were trained by optimizing the feature subsets based on the model computed mean decrease Gini (MDG) scores. The variable importance was assessed through cross-correlation analysis and the MDG score. The average and extreme models showed similar prediction accuracy ranges (61.5-76.1% and 72.3-77.0%) while the mixed models showed an improvement (71.7-82.6% prediction accuracy). An extreme model was the most sensitive while an average model was the most specific. The time lag associated with the driving indices agreed with the seasonality of the monsoon. The rainfall variable (extreme) was the most important in classifying the leptospirosis occurrence while streamflow was the least important despite showing higher correlations with leptospirosis.
As climate change drives increased intensity, duration and severity of weather-related events that can lead to natural disasters and mass casualties, innovative approaches are needed to develop climate-resilient healthcare systems that can deliver safe, quality healthcare under non-optimal conditions, especially in remote or underserved areas. Digital health technologies are touted as a potential contributor to healthcare climate change adaptation and mitigation, through improved access to healthcare, reduced inefficiencies, reduced costs, and increased portability of patient information. Under normal operating conditions, these systems are employed to deliver personalised healthcare and better patient and consumer involvement in their health and well-being. During the COVID-19 pandemic, digital health technologies were rapidly implemented on a mass scale in many settings to deliver healthcare in compliance with public health interventions, including lockdowns. However, the resilience and effectiveness of digital health technologies in the face of the increasing frequency and severity of natural disasters remain to be determined. In this review, using the mixed-methods review methodology, we seek to map what is known about digital health resilience in the context of natural disasters using case studies to demonstrate what works and what does not and to propose future directions to build climate-resilient digital health interventions.
In the present paper, we will explore how artificial intelligence (AI) and big data analytics (BDA) can help address clinical public and global health needs in the Global South, leveraging and capitalizing on our experience with the “Africa-Canada Artificial Intelligence and Data Innovation Consortium” (ACADIC) Project in the Global South, and focusing on the ethical and regulatory challenges we had to face. “Clinical public health” can be defined as an interdisciplinary field, at the intersection of clinical medicine and public health, whilst “clinical global health” is the practice of clinical public health with a special focus on health issue management in resource-limited settings and contexts, including the Global South. As such, clinical public and global health represent vital approaches, instrumental in (i) applying a community/population perspective to clinical practice as well as a clinical lens to community/population health, (ii) identifying health needs both at the individual and community/population levels, (iii) systematically addressing the determinants of health, including the social and structural ones, (iv) reaching the goals of population’s health and well-being, especially of socially vulnerable, underserved communities, (v) better coordinating and integrating the delivery of healthcare provisions, (vi) strengthening health promotion, health protection, and health equity, and (vii) closing gender inequality and other (ethnic and socio-economic) disparities and gaps. Clinical public and global health are called to respond to the more pressing healthcare needs and challenges of our contemporary society, for which AI and BDA can help unlock new options and perspectives. In the aftermath of the still ongoing COVID-19 pandemic, the future trend of AI and BDA in the healthcare field will be devoted to building a more healthy, resilient society, able to face several challenges arising from globally networked hyper-risks, including ageing, multimorbidity, chronic disease accumulation, and climate change.
Agricultural production and household food security are hypothesized to play a critical role connecting climate change to downstream effects on women’s health, especially in communities dependent on rainfed agriculture. Seasonal variability in agriculture strains food and income resources and makes it a challenging time for households to manage a pregnancy or afford a new child. Yet, there are few direct assessments of the role locally varying agricultural quality plays on women’s health, especially reproductive health. In this paper we build on and integrate ideas from past studies focused on climate change and growing season quality in low-income countries with those on reproductive health to examine how variation in local seasonal agricultural quality relates to childbearing goals and family planning use in three countries in sub-Saharan Africa: Burkina Faso, Kenya, and Uganda. We use rich, spatially referenced data from the Performance Monitoring for Action (PMA) individual surveys with detailed information on childbearing preferences and family planning decisions. Building on recent advances in remote monitoring of seasonal agriculture, we construct multiple vegetation measures capturing different dimensions of growing season conditions across varying time frames. Results for the Kenya sample indicate that if the recent growing season is better a woman is more likely to want a child in the future. In Uganda, when the growing season conditions are better, women prefer to shorten the time until their next birth and are also more likely to discontinue using family planning. Additional analyses reveal the importance of education and birth spacing in moderating these findings. Overall, our findings suggest that, in some settings, women strategically respond to growing season conditions by adjusting fertility aspirations or family planning use. This study also highlights the importance of operationalizing agriculture in nuanced ways that align with women’s lives to better understand how women are impacted by and respond to seasonal climate conditions.
The necessity of exploring the relationship between sleep quality and the thermal environment has amplified regarding increasing heat stress risk on the human body due to climate change, particularly in vulnerable uninsulated buildings in Ankara. Within this scope, this study investigated occupants’ sleep quality and human thermal comfort in insulated and uninsulated buildings under three local extreme heat event thresholds: (1) typical summer days (TSD25), (2) very hot days (VHD33), and lastly, (3) heat wave events (HWE31). Within a two-tiered approach to thermal comfort evaluations, the human thermal comfort of occupants was identified through the calculation of physiologically equivalent temperature (PET) from the climatic data of local meteorological stations. The psychological thermal comfort and sleep quality of participants were evaluated by questionnaires during each heat event. The results of this study demonstrated that the physiological thermal load of the participants was highest during VHD33s, given that both outdoor and indoor PET values presented their highest values within VHD33 events. Furthermore, the outdoor PET values reached extreme heat stress based on physiological stress grades with 43.5 degrees C, which indicated the exacerbated vulnerability of Ankara during extreme heat events. The PET values were consistently higher in uninsulated buildings than in insulated buildings. Also, most of the mean psychological thermal comfort votes and sleep quality votes were better in uninsulated buildings than in insulated ones during TSD25s and HWE31s, while it was the opposite within extreme conditions of VHD33s. The outputs of this study contribute to interdisciplinary efforts to attenuate the existing and impending risks of climate change on human life by defining the influence of increasing outdoor heat stress on indoor spaces, thermal comfort, and the sleep quality of occupants.
Rapid urbanization and global warming have triggered frequent heat waves that pose a threat to human survival, with a marked increase in childhood morbidity. While previous studies have explored the thermal environment of children’s public activity places, only limited studies have focused on the commute of school children, which is a regular activity causing potential risk of heat stress. From an urban design perspective, this study systematically investigated the influence of building shade, road orientation and tree species on the thermal environment of commuting roads. The simulation results indicated that, regarding the reduction of road heat stress, the building shade has a greater impact that can reduce the mean radiant temperature by 3.22 degrees C to 21.25 degrees C, compared to the effect of tree shade (0.02-6.04 degrees C). Furthermore, planting street trees in a flexible manner to add building shade areas can enhance thermal safety. For road orienta-tions, increasing shade areas of north-south road generates more benefits in heat stress mitigation (in the northern hemisphere). Finally, from the perspective of urban design/management and school children, a set of heat stress mitigation strategies are proposed to promote the thermal safety of school children and stimulate the development of a sustainable and healthy urban environment.
This study was conducted to determine relationship between disasters and sleep problems in adolescents. In this descriptive and cross-sectional study, 407 adolescents aged 10-18 years were included. The data were collected with Descriptive Characteristics Form, Disaster Fear Form, and Bergen Insomnia Scale. 86.5% of the adolescents had experienced at least one disaster. It was found that 67.3% of adolescents experienced sleep problems after disasters. A positive correlation was found between the mean scores of Fear Disaster Form and Bergen Insomnia Scale. In addition, mean Bergen Insomnia Scale scores of adolescents who experienced earthquakes, pandemic disease, traffic accidents, and floods were statistically higher than those who did not (p < 0.05). By screening for sleep problems in adolescents who have experienced disasters and planning and implementing appropriate interventions, adolescents who are already at risk for sleep problems can develop healthy sleep habits and prevent physiological, mental, and cognitive problems due to sleep problems.
Despite many advances in medicine, there is still a strong relationship between human health and atmospheric conditions. This study determines the effects of thermal comfort conditions on the causes of death in the province of Amasya, which is located in the Mediterranean basin. Meteorological data and monthly mortality data were used as material. As a method, thermal comfort conditions were determined by the Rayman model according to the PET index. Pearson correlation analysis and linear regression analysis methods were used to determine the effects of air temperature and thermal comfort conditions on the causes of death. In conclusion, it has been determined that thermal comfort conditions are effective on the total number of deaths, deaths due to external injuries and poisonings, deaths due to circulatory, and respiratory system diseases, but not for deaths due to other causes. These findings are important for early warning systems, preventive, and protective measures in health systems.
In this article, we outline an up-to-date overview of the climate change impact on mental health of urban population, conducted by searching the PubMed database for relevant studies published in the past 12-18 months, in English. RECENT FINDINGS: Climate change is part of a larger systemic ecological problem in which human demands are exceeding the regenerative capacity of the biosphere. We are witnessing a ‘climate chaos’, a phase of instability and transformation, which is leading humans into a psychological condition of ‘systemic insecurity’ and a shared feeling of uncertainty. Currently, one of the places where our species is particularly exposed to climate change are cities, due to build-up in urban infrastructure, rapid and chaotic urbanization, high densities and recent rapid growth, social inequality, and ‘heat island effect’.The impact of climate change on cities exposes vulnerable groups to the worse mental health consequences. These groups include the homelessness, slum dwellers for whom the ‘neighbourhood effects’ are being discussed, climate refugees and migrants, young people, and finally those who assist these people. SUMMARY: In order to realize broader mental health prevention in cities exposed to climate change phenomena, public health approaches are needed. Institutions must avoid reinforcing inequalities among the more vulnerable groups or create new inequalities.
Leishmania is a genus of parasitic protozoa that causes a disease called leishmaniasis. Leishmaniasis is transmitted to humans through the bites of infected female sandflies. There are several different species of Leishmania that can cause various forms of the disease, and the symptoms can range from mild to severe, depending on species of Leishmania involved and the immune response of the host. Leishmania parasites have a variety of reservoirs, including humans, domestic animals, horses, rodents, wild animals, birds, and reptiles. Leishmaniasis is endemic of 90 countries, mainly in South American, East and West Africa, Mediterranean region, Indian subcontinent, and Central Asia. In recent years, cases have been detected in other countries, and it is already an infection present throughout the world. The increase in temperatures due to climate change makes it possible for sandflies to appear in countries with traditionally colder regions, and the easy movement of people and animals today, facilitate the appearance of Leishmania species in new countries. These data mean that leishmaniasis will probably become an emerging zoonosis and a public health problem in the coming years, which we must consider controlling it from a One Health point of view. This review summarizes the prevalence of Leishmania spp. around the world and the current knowledge regarding the animals that could be reservoirs of the parasite.
The critical inquiry is how Pacific communities themselves characterize mental distress as a result of climate change. If not solastalgia, what more suitable terms might they use? This viewpoint article aims to initiate a discourse using solastalgia as the focus for the Pacific by 1. providing a definition of solastalgia; 2. examining its application in Pacific research; 3. presenting limitations of solastalgia; and 4. assessing its appropriateness for Pacific communities. There is a dearth of research using solastalgia, particularly within Pacific communities. The Pacific region’s diverse contexts may already possess terms that effectively convey place-based distress that solastalgia attempts to describe. However, the authors found that solastalgia holds limited utility in the Pacific region, primarily based on a review of the literature, which involved keyword searches in Google Scholar such as solastalgia, mental health, mental distress, wellbeing, climate change, environmental distress, displacement, and Indigenous and Pacific peoples. More importantly, the concept is limited in capturing Pacific experiences of land loss due to climate change events, particularly, as the Pacific imbues land with profound significance, intertwined with culture, identity, and wellbeing. Land loss equates to a loss of culture, identity, wellbeing, and kinship in most Pacific contexts. It is apparent that broader and more holistic approaches are required.
BACKGROUND: Urbanization has led to the proliferation of high-rise buildings, which have substantially influenced the distribution of dengue vectors, such as Aedes aegypti (L.). However, knowledge gaps exist regarding the individual and combined effects of architectural and spatiotemporal factors on dengue vector. This study investigated the interrelationship between Ae. aegypti presence, building architectural features, and spatiotemporal factors in urban environments. RESULTS: The mosquito Ae. aegypti presence varied by location and seasons, being higher in outdoor environments than in indoor environments. Lingya (Kaohsiung City, Taiwan) had the highest mosquito numbers, particularly in basement and first floor areas. Ae. aegypti was found on multiple floors within buildings, and their presence was greater in summer and autumn. The XGBoost model revealed that height within a building, temperature, humidity, resident density, and rainfall were key factors influencing mosquito presence, whereas openness had a relatively minor impact. CONCLUSION: To effectively address the problems caused by urbanization, the three-dimensional distribution of Ae. aegypti, including their spatial distribution across heights and areas within the urban environment, must be considered. By incorporating these multiple factors, this approach provides valuable insights for those responsible for urban planning and disease management strategies. Understanding the interplay between architectural features, environmental conditions, and the presence of Ae. aegypti is essential for developing targeted interventions and mitigating the adverse impacts of urbanization on public health. © 2023 Society of Chemical Industry.
There is an urgent call for nurses to address climate change, especially in advocating for those most under threat to the impacts. Social justice is important to nurses in their relations with individuals and populations, including actions to address climate justice. The purpose of this article is to present a Global Nurse Agenda for Climate Justice to spark dialog, provide direction, and to promote nursing action for just-relations and responsibility for planetary health. Grounding ourselves within the Mi’kmaw concept of Etuaptmumk (two-eyed seeing), we suggest that climate justice is both call and response, moving nurses from silence to Ksaltultinej (love as action). We review the movement for climate justice in nursing, weaving between our own stories, our relations with Mi’kmaw ways of knowing, and the stories of the movement, with considerations for the (w)holistic perspectives foundational to nursing’s metaparadigm of person, environment, and health. We provide a background to the work of the Global Nurse Agenda for Climate Justice steering committee including their role at the 26th United Nations Climate Change Conference in Glasgow, 2021, and share our own stories of action to frame this agenda. We accept our Responsibility for the challenges of climate justice with humility and invite others to join us.
Growing recognition of the multi-faceted injustices of climate change has resulted in shifting public and policy discourse around how to understand and address climate change, yet justice considerations are rarely present in climate change education (CCE). With aims of bringing visibility to existing efforts and building a foundation for more widespread justice-driven CCE, this systematic review examined how justice frameworks are being employed in a range of CCE contexts, within and beyond the classroom. Analyses of 55 peer-reviewed articles with data from 57 countries published between 2007 and 2020 demonstrate that the empirical literature on justice in CCE has grown significantly in recent years. Notably, justice-driven CCE in this review took place within and beyond STEM education settings, was fueled more by people-focused aims (e.g. advancing equity) compared to planet-focused aims (e.g. protecting the environment), and encompassed a remarkable diversity of educational processes, goals, and outcomes-with learners of all ages-across formal, community-based, and activist learning contexts. Findings have implications for scholars, educators, and practitioners across disciplines committed to educating for justice in the face of climate change.
Indigenous communities shoulder a disproportionate burden of ill health compounded by climate change. In Australia, the oldest surviving cultures have adapted their ecological knowledge over millennia and across climatic ages. However, European colonization has severely curtailed Indigenous peoples’ ability to adjust to climate change. An effective response to the climate crisis requires decolonizing processes to reform our relationship with the planet. From an Australian Indigenous perspective, precursors for a self-determined and healthier future are justice, culture, and relationships. We review existing studies on Indigenous-led contemporary climate and health initiatives to assess these precursors. There are examples that highlight the need to attend to issues of restorative justice as the basis for respectful valuing of culture and genuine collaboration to address the climate crisis.
Intimate partner violence (IPV) is a widespread public health problem that affects an estimated one in three women globally. The increase in frequency and severity of disasters due to climate change is likely to worsen IPV globally due to disruptions to normal life and the stressors they create. To better understand the relationship between IPV and disasters and to support future research, we conducted a literature review to identify and synthesize research on IPV and disaster. This research used a systematic literature approach, in which two independent reviewers screened 1,033 articles identified in searches of three databases (PsychInfo, PubMed, and Google Scholar). To be eligible for inclusion, articles were peer-reviewed, accessible in English, and focused on IPV in adult relationships after a climate-related, technological, or infectious disease disaster. Thirty-seven articles were included in the review. Findings indicate that IPV likely increases after disaster. It is not clear which types of IPV (i.e., physical, emotional) are more likely to increase after disaster, with research demonstrating increases in physical, emotional, and sexual IPV in different research contexts. Findings also indicate IPV during disaster likely leads to increased depression and posttraumatic stress disorder. Future studies should include additional sociodemographic factors including race and ethnicity and sexual identity, as well as more measures of attendant consequences of IPV (i.e., lower resilience, higher stress).
Increased risk of occupational injuries and illnesses (OI) is associated with ambient temperature. However, most studies have reported the average impacts within cities, states, or provinces at broader scales. METHODS: We assessed the intra-urban risk of OI associated with ambient temperature in three Australian cities at statistical area level 3 (SA3). We collected daily workers’ compensation claims data and gridded meteorological data from July 1, 2005, to June 30, 2018. Heat index was used as the primary temperature metric. We performed a two-stage time series analysis: we generated location-specific estimates using Distributed Lag Non-Linear Models (DLNM) and estimated the cumulative effects with multivariate meta-analysis. The risk was estimated at moderate heat (90th percentile) and extreme heat (99th percentile). Subgroup analyses were conducted to identify vulnerable groups of workers. Further, the OI risk in the future was estimated for two projected periods: 2016-2045 and 2036-2065. RESULTS: The cumulative risk of OI was 3.4% in Greater Brisbane, 9.5% in Greater Melbourne, and 8.9% in Greater Sydney at extreme heat. The western inland regions in Greater Brisbane (17.4%) and Greater Sydney (32.3%) had higher risk of OI for younger workers, workers in outdoor and indoor industries, and workers reporting injury claims. The urbanized SA3 regions posed a higher risk (19.3%) for workers in Greater Melbourne. The regions were generally at high risk for young workers and illness-related claims. The projected risk of OI increased with time in climate change scenarios. CONCLUSIONS: This study provides a comprehensive spatial profile of OI risk associated with hot weather conditions across three cities in Australia. Risk assessment at the intra-urban level revealed strong spatial patterns in OI risk distribution due to heat exposure. These findings provide much-needed scientific evidence for work, health, and safety regulators, industries, unions, and workers to design and implement location-specific preventative measures.
Linkages between climate and human activity are often calibrated at daily or monthly resolutions, which lacks the granularity to observe intraday adaptation behaviors. Ignoring this adaptation margin could mischaracterize the health consequences of future climate change. Here, we construct an hourly outdoor leisure activity database using billions of cell phone location requests in 10,499 parks in 2017 all over China to investigate the within-day outdoor activity rhythm. We find that hourly temperatures above 30 °C and 35 °C depress outdoor leisure activities by 5% (95% confidence interval, CI 3-7%) and by 13% (95% CI 10-16%) respectively. This activity-depressing effect is larger than previous daily or monthly studies due to intraday activity substitution from noon and afternoon to morning and evening. Intraday adaptation is larger for locations and dates with time flexibility, for individuals more frequently exposed to heat, and for parks situated in urban areas. Such within-day adaptation substantially reduces heat exposure, yet it also delays the active time at night by about half an hour, with potential side effect on sleep quality. Combining empirical estimates with outputs from downscaled climate models, we show that unmitigated climate change will generate sizable activity-depressing and activity-delaying effects in summer when projected on an hourly resolution. Our findings call for more attention in leveraging real-time activity data to understand intraday adaptation behaviors and their associated health consequences in climate change research.
Predicting how climate change will affect disease risk is complicated by the fact that changing environmental conditions can affect disease through direct and indirect effects. Species with fast-paced life-history strategies often amplify disease, and changing climate can modify life-history composition of communities thereby altering disease risk. However, individuals within a species can also respond to changing conditions with intraspecific trait variation. To test the effect of temperature, as well as inter- and intraspecifc trait variation on community disease risk, we measured foliar disease and specific leaf area (SLA; a proxy for life-history strategy) on more than 2500 host (plant) individuals in 199 communities across a 1101 m elevational gradient in southeastern Switzerland. There was no direct effect of increasing temperature on disease. Instead, increasing temperature favoured species with higher SLA, fast-paced life-history strategies. This effect was balanced by intraspecific variation in SLA: on average, host individuals expressed lower SLA with increasing temperature, and this effect was stronger among species adapted to warmer temperatures and lower latitudes. These results demonstrate how impacts of changing temperature on disease may depend on how temperature combines and interacts with host community structure while indicating that evolutionary constraints can determine how these effects are manifested under global change. This article is part of the theme issue ‘Infectious disease ecology and evolution in a changing world’.
Governmental agencies and the medical and psychological professions are calling for a greater focus on the negative mental health effects of climate change (CC). As a first step, the field needs measures to distinguish affective/emotional distress due to CC from impairment that requires further scientific and diagnostic attention and that may require treatment in the future. To this end, we constructed the climate change distress and impairment scale, which distinguishes CC distress (spanning anger, anxiety, and sadness) from impairment. In four studies (N = 1699), we developed and validated English and German versions of the scale. Across samples, spanning 2021-2022, CC distress was at least moderate, while we observed general moderate to high levels of distress and low to moderate levels of impairment. In three English-speaking samples, younger individuals and women were most affected by CC distress, whereas this was not the case in a German-speaking sample, suggesting sociopolitical influencing factors. We demonstrate convergent validity with previous measures and discriminant validity for general negative affectivity and depressive and generalized anxiety disorder symptoms, which underlines that CC distress is not in itself pathological. Employing a fully incentivized social dilemma paradigm, we demonstrate that CC distress and (to a lesser degree) CC impairment predict pro-environmental behavior, underscoring them as possible drivers, and targets, of climate-change mitigation efforts.
BACKGROUND: Mosquito research in Europe has a long history, primarily focused on malaria vectors. In recent years, invasive mosquito species like the Asian tiger mosquito (Aedes albopictus) and the spread of arboviruses like dengue virus, chikungunya virus or bluetongue virus have led to an intensification of research and monitoring in Europe. The risk of further dissemination of exotic species and mosquito-borne pathogens is expected to increase with ongoing globalization, human mobility, transport geography, and climate warming. Researchers have conducted various studies to understand the ecology, biology, and effective control strategies of mosquitoes and associated pathogens. MAIN BODY: Three invasive mosquito species are established in Europe: Asian tiger mosquito (Aedes albopictus), Japanese bush mosquito (Ae. japonicus), and Korean bush mosquito (Aedes koreicus). Ae. albopictus is the most invasive species and has been established in Europe since 1990. Over the past two decades, there has been an increasing number of outbreaks of infections by mosquito-borne viruses in particular chikungunya virus, dengue virus or Zika virus in Europe primary driven by Ae. albopictus. At the same time, climate change with rising temperatures results in increasing threat of invasive mosquito-borne viruses, in particular Usutu virus and West Nile virus transmitted by native Culex mosquito species. Effective mosquito control programs require a high level of community participation, going along with comprehensive information campaigns, to ensure source reduction and successful control. Control strategies for container breeding mosquitoes like Ae. albopictus or Culex species involve community participation, door-to-door control activities in private areas. Further measures can involve integration of sterile insect techniques, applying indigenous copepods, Wolbachia sp. bacteria, or genetically modified mosquitoes, which is very unlike to be practiced as standard method in the near future. CONCLUSIONS: Climate change and globalization resulting in the increased establishment of invasive mosquitoes in particular of the Asian tiger mosquito Ae. albopictus in Europe within the last 30 years and increasing outbreaks of infections by mosquito-borne viruses warrants intensification of research and monitoring. Further, effective future mosquito control programs require increase in intense community and private participation, applying physical, chemical, biological, and genetical control activities.
Biological invasions have increased significantly with the tremendous growth of international trade and transport. Hematophagous arthropods can be vectors of infectious and potentially lethal pathogens and parasites, thus constituting a growing threat to humans-especially when associated with biological invasions. Today, several major vector-borne diseases, currently described as emerging or re-emerging, are expanding in a world dominated by climate change, land-use change and intensive transportation of humans and goods. In this review, we retrace the historical trajectory of these invasions to better understand their ecological, physiological and genetic drivers and their impacts on ecosystems and human health. We also discuss arthropod management strategies to mitigate future risks by harnessing ecology, public health, economics and social-ethnological considerations. Trade and transport of goods and materials, including vertebrate introductions and worn tires, have historically been important introduction pathways for the most prominent invasive hematophagous arthropods, but sources and pathways are likely to diversify with future globalization. Burgeoning urbanization, climate change and the urban heat island effect are likely to interact to favor invasive hematophagous arthropods and the diseases they can vector. To mitigate future invasions of hematophagous arthropods and novel disease outbreaks, stronger preventative monitoring and transboundary surveillance measures are urgently required. Proactive approaches, such as the use of monitoring and increased engagement in citizen science, would reduce epidemiological and ecological risks and could save millions of lives and billions of dollars spent on arthropod control and disease management. Last, our capacities to manage invasive hematophagous arthropods in a sustainable way for worldwide ecosystems can be improved by promoting interactions among experts of the health sector, stakeholders in environmental issues and policymakers (e.g. the One Health approach) while considering wider social perceptions.
Climate change is the greatest threat to global public health, although the impacts on mental health are relatively understudied. Furthermore, there is a lack of consensus about the effects of climate change on individuals with pre-existing mental health problems. This review aimed to identify the health impacts of climate change on people with pre-existing mental health problems. The search was conducted across three databases; studies were included if they involved participants who had mental health problem(s) before a climate-driven event and reported on health outcomes post-event. A total of thirty-one studies met the full inclusion criteria. The study characteristics included 6 climate-driven events: heat events, floods, wildfires, wildfire and flood, hurricanes, and droughts, and 16 categories of pre-existing mental health problems, with depression, and non-specified mental health problems being the most common. The majority of the studies (90%, n = 28) suggest an association between the presence of pre-existing mental health problems and the likelihood of adverse health impacts (e.g., increased mortality risk, new symptom presentation, and an exacerbation of symptoms). To mitigate the exacerbation of health inequalities, people with pre-existing mental health problems should be included in adaption guidance and/or plans that mitigate the health impacts of climate change, future policy, reports, and frameworks.
The paper traces the evolution the concept of socioeconomic vulnerability to climate change has followed in the academic and scientific debate and examines its effects on wellbeing. The recent recognition of vulnerability as a social construction has shifted the focus of the analysis to the dimension of adaptive capacity, restoring a political economy significance to the study of vulnerability. The social origin of vulnerability is related to the presence of structural inequalities, rooted in structural economic and political relationships and reinforced by historical cultural values and praxes. Structural inequalities and power relations in place within a society shape access to resources and capabilities that can enable individuals or population groups to prevent and cope with impacts from extreme weather events, ultimately defining vulnerabilities. Widespread vulnerabilities to climate change can compromise wellbeing in several ways, including an increase in food insecurity, health issues, outbreak of armed conflicts and mass migrations. In addition, the same individual or population group can be vulnerable in more than one wellbeing dimension and, once a dimension is affected, their own vulnerability to other threats is likely to increase.
The incidence of West Nile fever (WNF) is highly variable in emerging areas, making it difficult to identify risk periods. Using clinical case records has important biases in understanding the transmission dynamics of West Nile virus (WNV) because asymptomatic infections are frequent. However, estimating virus exposure in sentinel species could help achieve this goal at varying spatiotemporal scales. To identify the determinants of inter-annual variation in WNV transmission rates, we designed a 15-year longitudinal seroepidemiological study (2005-2020) in five environmentally diverse areas of southwestern Spain. We modeled individual annual area-dependent exposure risk based on potential environmental and host predictors using generalized linear mixed models. Further, we analyzed the weight of predictors on exposure probability by variance partitioning of the model components. The analysis of 2418 wild ungulate sera (1168 red deer – Cervus elaphus – and 1250 Eurasian wild boar – Sus scrofa) with a highly sensitive commercial blocking ELISA identified an average seroprevalence of 24.9% (95% confidence interval (CI): 23.2-26.7%). Antibody prevalence was slightly higher in wild boar (27.5%; CI: 25.1-30.1%) than in deer (22.2%; CI: 19.8-24.7%). We observed a spatial trend in exposure, with higher frequency in the southernmost areas and a slight, although area-dependent, increasing temporal trend. Host-related predictors were important drivers of exposure risk. The environmental predictor with the highest weight was annual cumulative precipitation, while temperature variations were also relevant but with less weight. We observed a coincidence of spatiotemporal changes in exposure with the notification of WNF outbreaks in horses and humans. That indicates the usefulness of wild ungulates as sentinels for WNV transmission and as models to understand its spatiotemporal dynamics. These results will allow the development of more accurate predictive models of spatiotemporal variations in transmission risk that can inform health authorities to take appropriate action.
INTRODUCTION: Climate change constitutes a major threat to human health. Nurses have an essential role to play in protecting populations from this threat, and to fulfil this role, they must be properly prepared. The purpose of this scoping review is to examine studies on the integration of climate change into the academic curriculum or continuing education of nurses so as to identify issues and opportunities related to this integration. METHODS AND ANALYSIS: The method being used is the methodological framework proposed by Arksey and O’Malley and Levac et al. First, a search strategy using keywords and their combinations will be developed. This strategy will be applied in four bibliographic databases: MEDLINE (PubMed), CINAHL, Embase, Web of Science. Second, an initial selection of studies based on titles and abstracts will be carried out by two members of the research team using the software Covidence. They will conduct this selection process independently, with the aim of identifying relevant studies that meet the inclusion criteria for our scoping review. Third, the second stage in the selection process will be carried out by examining the full text of each article to determine which studies to include in the review. Finally, data on year of publication, authors, geographical area, article type, study objectives, methodology and key findings will be extracted from selected articles for analysis. A search of the grey literature will also be conducted to supplement the results of the bibliographic database search. The scoping review is currently ongoing. Identification of relevant literature began in the first quarter of 2022 and is expected to be completed in the first quarter of 2023. ETHICS AND DISSEMINATION: Ethical approval is not required for this review. The results of this study will be presented in workshops and conferences and be submitted for publication to a peer-reviewed journal.
With the increasing challenge of addressing environmental health issues, various approaches have been proposed to reduce environmental problems. For Muslims all over the world, the Qur’an, Hadith, and Sunnah are recognised as the authoritative messages for spiritual and behavioural guidance on how humans can react to protect the environment and health. This review aims to integrate the environment with health from the perspective of Islam. An exploration of Qur’anic, Hadith, and Sunnah Muslim scholar views and articles was carried out to identify environmental health issues. Integrating Islamic aspects into environmental health includes: (i) environmental dimensions of natural and social environments; (ii) dimensions of health including disease, wellness, intellectual health, transcendence, and Qalbe Salim; and (iii) principles that can be used to describe people’s attitudes towards the environment through unity, balance, and responsibility. Differences between Islamic and Western views on the environment include that taqwa-centric is the highest level of environmental responsibility, with religious duty serving as the key driver of environmental activity. About 89 verses were identified in 42 Qur’anic chapters, with a strong emphasis on the health aspect in relation to the water, biodiversity, corruption of the earth, waste minimisation, and climate change. The Hadith and Sunnah highlight cleanliness as another important value in Islamic ethics, focusing on environmental conservation. Current and future research trends may be able to identify research gaps concerning the Islamic aspect of handling environmental health issues, which can then be implemented into the educational system. These findings imply that Islam could be a powerful source and educational medium for environmental health interventions in large communities, as well as for improving and preserving a healthy environment.
Introduction. Dengue Hemorrhagic Fever (DHF) is still a public health problem even in the era of the COVID-19 pandemic in 2020, including in Indonesia. This study aimed to analyze the incidence of DHF based on the integration of climatic factors, including rainfall, humidity, air temperature, and duration of sun-light and their distribution.Materials and Methods. This was an ecological time series study with secondary data from the Surabaya City Health Office covering the incidence of DHF and larva-free rate and climate data on rainfall, humidity, air temperature, and duration of sunlight obtained from the Meteorology and Geophysics Agency (BMKG). Silver station in Surabaya, the distribution of dengue incidence during 2018-2020.Results and Discussion. The results showed that humidity was correlated with the larvae-free rate. Meanwhile, the larva-free rate did not correlate with the number of DHF cases. DHF control is estimated due to the correlation of climatic factors and the inci-dence of DHF, control of vectors and disease agents, control of transmission media, and exposure to the community.Conclusions. The integration of DHF control can be used for early precautions in the era of the COVID-19 pandemic by control-ling DHF early in the period from January to June in Surabaya. It is concluded that humidity can affect the dengue outbreak and it can be used as an early warning system and travel warning regarding the relative risk of DHF outbreak.
The quality of health services in flood disaster conditions still needs to get better attention because health workers carry out actions in this condition that are not yet effective. It was closely related to the quality of preparedness of these health workers. It can reflect whether there was an integration of health workers’ knowledge, attitude, and preparedness in dealing with flood disasters.The study used a mixed method consisting of a quantitative design with a correlation test and a qualitative design with interviews. The quantitative design study involved a total population of 22 health workers, and the qualitative design involved 8 participants who are representatives of each profession. Analysis used univariate analysis and bivariate analysis with Fisher’s exact test. Knowledge and preparedness of health workers to face flood disasters were still not good and not ready when com pared to attitudes.Knowledge relates to preparing the health workers to face flood disasters with p 0.009, and a study with a qualitative design using eight participants who are representatives of each profession. Health workers dealing with flood disasters have not fully integrated knowledge, attitudes, and preparedness. We need to improve aspects of behavior that are still not optimal.
There has been an insurgence of allergic respiratory diseases such as asthma and rhinitis in industrialized countries in the last few decades as a result of the interaction between air pollutants and pollen, which has become a global and dramatic health problem. Air pollutants such as nitrogen dioxide, sulfur dioxide, ozone, and carbon dioxide affect the physical, chemical and biological properties of pollen such as the pollen content, production, and allergenicity, exacerbating symptoms in vulnerable subjects. When investigating these interactions and their effects, the environmental impact of climate change, weather variables and urbanization should be taken into account as well as the pollen species, type of pollutant, conditions of exposure, and individual susceptibility. Up to 25% of asthma adult cases are work-related, because several categories of workers in different sectors are exposed to aeroallergens and outdoor air pollutants. Thus, in this study, we evaluated the significant impacts of occupational allergies on worker’s health and quality of life. In summary, to assess the effect of interactions between air pollutants and pollen on public and occupational health, all the factors that play a role in this context will be investigated, including environmental factors, individual susceptibility in relation to pollen species, type of pollutants, and conditions of exposure.
The biogeochemical cycling of mercury in aquatic environments is a complex process driven by various factors, such as ambient temperature, seasonal variations, methylating bacteria activity, dissolved oxygen levels, and Hg interaction with dissolved organic matter (DOM). As a consequence, part of the Hg contamination from anthropogenic activity that was buried in sediments is reinserted into water columns mainly in highly toxic organic Hg forms (methylmercury, dimethylmercury, etc.). This is especially prominent in the coastal shallow waters of industrial regions worldwide. The main entrance point of these highly toxic Hg forms in the aquatic food web is the naturally occurring phytoplankton. Hg availability, intake, effect on population size, cell toxicity, eventual biotransformation, and intracellular stability in phytoplankton are of the greatest importance for human health, having in mind that such Hg incorporated inside the phytoplankton cells due to biomagnification effects eventually ends up in aquatic wildlife, fish, seafood, and in the human diet. This review summarizes recent findings on the topic of organic Hg form interaction with natural phytoplankton and offers new insight into the matter with possible directions of future research for the prevention of Hg biomagnification in the scope of climate change and global pollution increase scenarios.
Dengue is expanding globally, but how dengue emergence is shaped locally by interactions between climatic and socio-environmental factors is not well understood. Here, we investigate the drivers of dengue incidence and emergence in Vietnam, through analysing 23 years of district-level case data spanning a period of significant socioeconomic change (1998-2020). We show that urban infrastructure factors (sanitation, water supply, long-term urban growth) predict local spatial patterns of dengue incidence, while human mobility is a more influential driver in subtropical northern regions than the endemic south. Temperature is the dominant factor shaping dengue’s distribution and dynamics, and using long-term reanalysis temperature data we show that warming since 1950 has expanded transmission risk throughout Vietnam, and most strongly in current dengue emergence hotspots (e.g., southern central regions, Ha Noi). In contrast, effects of hydrometeorology are complex, multi-scalar and dependent on local context: risk increases under either short-term precipitation excess or long-term drought, but improvements in water supply mitigate drought-associated risks except under extreme conditions. Our findings challenge the assumption that dengue is an urban disease, instead suggesting that incidence peaks in transitional landscapes with intermediate infrastructure provision, and provide evidence that interactions between recent climate change and mobility are contributing to dengue’s expansion throughout Vietnam.
Climate change and shifts in land use/land cover (LULC) are critical factors affecting the environmental, societal, and health landscapes, notably influencing the spread of infectious diseases. This study delves into the intricate relationships between climate change, LULC alterations, and the prevalence of vector-borne and waterborne diseases in Coimbatore district, Tamil Nadu, India, between 1985 and 2015. The research utilised Landsat-4, Landsat-5, and Landsat-8 data to generate LULC maps, applying the maximum likelihood algorithm to highlight significant transitions over the years. This study revealed that built-up areas have increased by 67%, primarily at the expense of agricultural land, which was reduced by 51%. Temperature and rainfall data were obtained from APHRODITE Water Resources, and with a statistical analysis of the time series data revealed an annual average temperature increase of 1.8 °C and a minor but statistically significant rainfall increase during the study period. Disease data was obtained from multiple national health programmes, revealing an increasing trend in dengue and diarrhoeal diseases over the study period. In particular, dengue cases surged, correlating strongly with the increase in built-up areas and temperature. This research is instrumental for policy decisions in public health, urban planning, and climate change mitigation. Amidst limited research on the interconnections among infectious diseases, climate change, and LULC changes in India, our study serves as a significant precursor for future management strategies in Coimbatore and analogous regions.
The pandemics of obesity, undernutrition, and climate change represent severe threats to child health. They co-occur; interact with each other to produce sequelae at biological, psychological, or social levels; and share common underlying drivers. In this paper, we review the key issues concerning child diet and nutritional status, focusing on the interactions with climate and food systems. Inadequate infant and young child feeding practices, food insecurity, poverty, and limited access to health services are the leading causes of malnutrition across generations. Food system industrialization and globalization lead to a double burden of malnutrition, whereby undernutrition (i.e., stunting, wasting, and deficiencies in micronutrients) coexists with overweight and obesity, as well as to harmful effects on climate. Climate change and the COVID-19 pandemic are worsening child malnutrition, impacting the main underlying causes (i.e., household food security, dietary diversity, nutrient quality, and access to maternal and child health), as well as the social, economic, and political factors determining food security and nutrition (livelihoods, income, infrastructure resources, and political context). Existing interventions have the potential to be further scaled-up to concurrently address undernutrition, overnutrition, and climate change by cross-cutting education, agriculture, food systems, and social safety nets. Several stakeholders must work co-operatively to improve global sustainable nutrition.
This study explores internal linkages among depressive, anxiety, and acute stress symptoms in 2021 Henan floods victims during the disaster. Moreover, the interaction between instant flood exposure (IFE) and symptoms were testified. We conducted a survey from July 20 to August 6, 2021, when floods occurred in Henan. We employ convenience sampling to capture the immediate reaction of those (N = 714) exposed to the floods. We use self-reported survey answers to assess IFE and depressive, anxiety, and acute stress symptoms. We adopt a psychological network approach to analyze the internal linkages among symptoms and linkages between IFE and symptoms. Results revealed that: First, the strongest relationship between symptoms within each network model remains stable irrespective of whether we control for IFE; however, the strongest edge within depressive symptom cluster differs between the depression network and the depressive-anxiety-acute stress symptom cluster network. The order of central symptoms for depressive symptom cluster, anxiety symptom cluster, and acute stress symptom cluster changes after controlling for IFE. Second, the bridge symptoms of depressive-anxiety-acute stress symptom cluster network remain stable regardless of whether we control for IFE. However, the bridge symptoms of the depressive and acute stress symptoms network vary after controlling for IFE. Third, IFE related to changes in living and family conditions is a crucial factor in linking depressive, anxiety, and acute stress symptoms. Inconsistent results between depressive, anxiety, and acute stress symptom cluster networks and depressive-anxiety-acute stress symptom cluster network reveal that studies employing a network approach should control for potential confounders to avoid omitted variable bias. Sequential psychiatric reactions toward IFE during a disaster imply that pre-disaster community cohesion is crucial for positive coping during the disaster.
Climate and agriculture have played an interconnected role in the rise and fall of historical civilizations. Our modern food system, based on open-environment production and globalised supply chains, is vulnerable to a litany of abiotic and biotic stressors exacerbated by anthropogenic climate change. Despite this evidence, greenhouse gas emissions continue to rise. Current trajectories suggest global warming of -2.0-4.9 degrees C by 2100, however, a worst-case emissions scenario with rapid combustion of all available fossil fuels could cause a rise of -12 degrees C. Even if emissions decline, unprecedented atmospheric CO2-e concentrations risk triggering tipping points in climate system feedbacks that may see global warming exceed 8 degrees C. Yet, such speculative ‘runaway global warming’ has received minimal attention compared to mainstream low- to midrange scenarios. This study builds on The Limits to Growth to provide new insights into the international risk of mass mortality due to food insecurity based on a higher-resolution illustration of World3’s ‘runaway global warming’ scenario (-8-12 degrees C+). Our simulation indicates rapid decline in food production and unequal distribution of -6 billion deaths due to starvation by 2100. We highlight the importance of including high-resolution simulations of high-range global warming in climate change impact modelling to make well-informed decisions about climate change mitigation, resilience and adaptation.
Background: We conducted this scoping review to (1) comprehensively compile the published literature on interprofessional education focused on climate change and health, (2) assess the quality and outcomes of the existing curriculum interventions, and (3) highlight potential areas for further growth. By evaluating published curricular interventions, our goal was to highlight effective and validated developments that could be utilized by health professional educators seeking to include topics on climate change in the curriculum. Methods: We searched Ovid MEDLINE databases (MEDLINE, In-Process, In-Data-Review and Other Non-Indexed Citations, and Epub Ahead of Print), Embase, Clarivate Web of Science, and EBSCOhost Education Abstracts from inception through March 2023. Resulting articles were screened for relevance, and data were extracted from the included studies. The Medical Education Research Study Quality Instrument (MERSQI) was used to assess the quality of each included study. Findings: We screened 688 unique articles, and 6 met inclusion criteria. Publications dated from 2013 to 2023. Three studies included students or healthcare professionals from at least three health profession education programs. The mean MERSQI score was 8 & BULL;17 (SD = 1 & BULL;34; range 6-10). Curricular interventions varied by study, and topics included effects of climate change on human health, effect of climate change on extreme weather events and infectious disease exposures, and role of health professionals in climate change communication. Studies did not utilize a two-group comparison design. Most studies used an assessment tool with content validity evidence, but no study provided evidence of validity for internal structure or relationships to other variables. Studies reported that curricular interventions improved outcomes related to both climate change and interprofessional education. Interpretation: Despite the growing call for health professional education focused on climate change and health, there remains a gap in the interprofessional curricular interventions that have been assessed.
Globally, there are an estimated 13.3 million cases of acute kidney injury (AKI) annually. Although infections are a common cause of AKI globally, most infection-associated AKI occurs in low- and lower-middle-income countries. There are marked differences in the etiology of infection-associated AKI across age groups, populations at risk, and geographic location. This article provides a global overview of different infections that are associated commonly with AKI, including severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), human immunodeficiency virus, malaria, dengue, leptospirosis, tick-borne illnesses, and viral hemorrhagic fevers. Further discussion focuses on infectious conditions associated with AKI including sepsis, diarrheal diseases and pregnancy, peripartum and neonatal AKI. This article also discusses the future of infection-associated AKI in the framework of climate change. It explores how increased investment in achieving the sustainable development goals may contribute to the International Society of Nephrology’s 0 by 25 objective to curtail avoidable AKI-related fatalities by 2025.
Climate sensitivity of infectious diseases is discussed in many studies. A quantitative basis for distinguishing and predicting the disease impacts of climate and other environmental and anthropogenic driver-pressure changes, however, is often lacking. To assess research effort and identify possible key gaps that can guide further research, we here apply a scoping review approach to two widespread infectious diseases: Lyme disease (LD) as a vector-borne and cryptosporidiosis as a water-borne disease. Based on the emerging publication data, we further structure and quantitatively assess the driver-pressure foci and interlinkages considered in the published research so far. This shows important research gaps for the roles of rarely investigated water-related and socioeconomic factors for LD, and land-related factors for cryptosporidiosis. For both diseases, the interactions of host and parasite communities with climate and other driver-pressure factors are understudied, as are also important world regions relative to the disease geographies; in particular, Asia and Africa emerge as main geographic gaps for LD and cryptosporidiosis research, respectively. The scoping approach developed and gaps identified in this study should be useful for further assessment and guidance of research on infectious disease sensitivity to climate and other environmental and anthropogenic changes around the world.
Natural disasters are catastrophic occurrences that can seriously harm infrastructure, inflict property damage, and even result in fatalities. Water supply and sanitation systems can be disrupted in flooded areas, raising the risk of infectious diseases. It is advised that public health responders do a disease risk assessment of such a catastrophic event to ascertain the disaster’s consequences and the health requirements. This editorial provides an overview of the transmission of infectious illnesses after hydrometeorological disasters. It also discusses the effects of such catastrophes on individuals’ psychological and physical health who live in disaster-prone locations.
BACKGROUND: The number of heatstroke victims hit record numbers in 2022 as global warming continues. In heat-induced injuries, circulatory shock is the most severe and deadly complication. This review aims to examine the mechanisms and potential approaches to heat-induced shock and the life-threatening complications of heatstroke. METHODS: A computer-based online search was performed using the PubMed database and Web of Science database for published articles concerning heatstroke, shock, inflammation, coagulopathy, endothelial cell, cell death, and heat shock proteins. RESULTS: Dehydration and heat-induced cardiomyopathy were reported as the major causes of heat-induced shock, although other heat-induced injuries are also involved in the pathogenesis of circulatory shock. In addition to dehydration, the blood volume decreases considerably due to the increased vascular permeability as a consequence of endothelial damage. Systemic inflammation is induced by factors that include elevated cytokine and chemokine levels, dysregulated coagulation/fibrinolytic responses, and the release of damage-associated molecular patterns (DAMPs) from necrotic cell death that cause distributive shock. The cytoprotective heat shock proteins can also facilitate circulatory disturbance under excess heat stress. CONCLUSIONS: Multiple mechanisms are involved in the pathogenesis of heat-induced shock. In addition to dehydration, heat stress-induced cardiomyopathy due to the thermal damage of mitochondria, upregulated inflammation via damage-associated molecular patterns released from oncotic cells, unbalanced coagulation/fibrinolysis, and endothelial damage are the major factors that are related to circulatory shock.
Urban populations face increasing heat stress in cities. However, the influence of the built environment of new and old urban blocks on pedestrian thermal comfort remains unclear. This study selected typical old (Yongqingfang) and new urban areas (Knowledge City) in Guangzhou, China, as our research sites. Through field monitoring and surveys, we used physiological equivalent temperature (PET) and thermal comfort vote (TCV) to evaluate outdoor thermal comfort by thermal walk experiments. We analyzed the relationships between built environment variables, meteorological variables, and pedestrian thermal comfort at the two sites. Our analysis revealed significant differences in the built environment and meteorological conditions between the new and old urban blocks within the 60-m buffer zone. PET and TCV showed noticeable spatiotemporal variations in both sites, and their correlation was stronger in the morning (r = 0.87-0.89) than late afternoon (r = 0.60-0.70). Our stepwise regression model indicated that sky view factor and building coverage ratio significantly affected outdoor thermal comfort in old and new urban blocks. Built environment variables explained a higher percentage of the variance in PET (Yongqingfang R2: 0.59-0.82, Knowledge City R2: 0.32-0.81) than TCV (Yongqingfang R2: 0.45-0.57, Knowledge City R2: 0.48-0.69). In short, built environment variables affected thermal indices more than thermal perception. The impact of built environment variables on TCV is also greater in new urban areas than in old urban blocks. Our findings provide insights into the complex relationship between built environments and outdoor thermal comfort in different urban landscapes, which informs climate-resilient urban design.
Introduction: World over studies are being done by different group of workers to understand the time of deliveries conducted. Surprisingly majority of deliveries were following a pattern, seasonally. Today in this busy world, couples choose comparatively a free time for delivery and preparation for conception is done accordingly. Apart from these, it is clearly shown majority of deliveries are conducted during a particular season. We hypothesised that the change in semen quality during different seasons is responsible for this phenomenon. Materials and methods: Present study conducted on semen quality included 12,408 semen samples collected from different laboratories of Bangalore city during 8 years (2000-2007) period of time and were analysed season wise. Results: Results showed sperm concentration was significantly lower in monsoon than in winter season. Humidity and pressure influenced sperm count. Forward moving sperms were influenced by temperature and pressure. The study concludes the change in birth rates seen during different season in a year is due to the quality of semen responsible for conception.
Previous studies reported higher incidence of surgical site infection (SSI) after procedures performed in summer or with high temperatures. However, no study used detailed climate data to assess this risk after hip and knee arthroplasty, and no study specifically investigated the role of heatwaves. AIM: To assess the impact of higher environmental temperatures and heatwaves on SSI rates after hip and knee arthroplasty. METHODS: Data on hip and knee arthroplasty procedures performed between January 2013 and September 2019 in hospitals participating in the Swiss SSI surveillance were linked to climate data extracted from weather stations located in their vicinity. The association between temperature, heatwaves and SSI was studied using mixed effects logistic regression models fitted at the patient level. Poisson mixed models were fitted for both calendar year and month of the year to investigate the SSI incidence trajectory over time. RESULTS: We included 116,981 procedures performed in 122 hospitals. Significantly higher SSI rates were observed for procedures performed in the summertime (incidence rate ratio 1.39, 95% CI (1.20-1.60), P<0.001; reference: autumn) or in calendar months in which the mean temperature was above 20 °C (reference 5-10 °C; odds ratio 1.59, 95% CI (1.27, 1.98), P<0.001). We observed a slight but non-significant increase in the rate of SSI during heatwaves (1.44% versus 1.01%, P=0.2). CONCLUSION: SSI rates after hip and knee replacement appear to increase with higher environmental temperature. To establish whether, and to what extent, heatwaves increase the risk of SSI, studies involving geographical areas with larger variability in temperature are needed.
OBJECTIVES: To analyse how the key components at the time of diagnosis of the Sjögren’s phenotype (epidemiological profile, sicca symptoms, and systemic disease) can be influenced by the potential exposure to climate-related natural hazards. METHODS: For the present study, the following variables were selected for harmonisation and refinement: age, sex, country, fulfilment of 2002/2016 criteria items, dry eyes, dry mouth, and overall ESSDAI score. Climate-related hazards per country were defined according to the OECD and included seven climate-related hazard types: extreme temperature, extreme precipitation, drought, wildfire, wind threats, river flooding, and coastal flooding. Climatic variables were defined as dichotomous variables according to whether each country is ranked among the ten countries with the most significant exposure. RESULTS: After applying data-cleaning techniques and excluding people from countries not included in the OECD climate rankings, the database study analysed 16,042 patients from 23 countries. The disease was diagnosed between 1 and 3 years earlier in people living in countries included among the top 10 worst exposed to extreme precipitation, wildfire, wind threats, river flooding, and coastal flooding. A lower frequency of dry eyes was observed in people living in countries exposed to wind threats, river flooding, and coastal flooding, with a level of statistical association being classified as strong (p<0.0001 for the three variables). The frequency of dry mouth was significantly lower in people living in countries exposed to river flooding (p<0.0001) and coastal flooding (p<0.0001). People living in countries included in the worse climate scenarios for extreme temperature (p<0.0001) and river flooding (p<0.0001) showed a higher mean ESSDAI score in comparison with people living in no-risk countries. In contrast, those living in countries exposed to worse climate scenarios for wind threats (p<0.0001) and coastal flooding (p<0.0001) showed a lower mean ESSDAI score in comparison with people living in no-risk countries. CONCLUSIONS: Local exposure to extreme climate-related hazards plays a role in modulating the presentation of Sjögren across countries concerning the age at which the disease is diagnosed, the frequency of dryness, and the degree of systemic activity.
Greenery can improve the outdoor thermal environment in elderly care centers during heat wave in summer. However, it lacks quantitative results and rules. This study investigated the summer outdoor thermal environment of four representative elderly care centers in Tianjin to establish the thermal demand of seniors. The different thermal effects of greenery types (GTs) were revealed in elderly care centers. To improve the quality of the outdoor recreational space, this study utilized numerical simulation to quantitatively establish the influence of tree-shrub coverage rate (TSCR) on the thermal comfort of seniors. The results showed that the thermal neutral physiologically equivalent temperature (PET) of elderly people was 27.0 degrees C in summer, and the thermal acceptance range of PET was 23.6-36.8 degrees C. Shrubs overall could significantly increase the tree’s ability to improve the outdoor thermal environment. Furthermore, this study proposed different TSCR strategies. TSCR of the elderly care center should be greater than 31.5% to obtain great thermal acceptance for the elderly in summer; when the TSCR of the elderly care center could not reach 31.5% due to the reality, TSCR = 10.0% was the efficient strategy to improve outdoor thermal comfort. This research provided a scientific reference for the greenery configuration plan of elderly care centers in summer.
OBJECTIVE: To investigate the relationship between ambient temperature and atmospheric pressure (AP) and the severity of heart failure (HF) decompensations. METHODS: We analysed patients coming from the Epidemioloy Acute Heart Failure Emergency (EAHFE) Registry, a multicentre prospective cohort study enrolling patients diagnosed with decompensated HF in 26 emergency departments (EDs) of 16 Spanish cities. We recorded patient and demographic data and maximum temperature (T(max)) and AP (AP(max)) the day before ED consultation. Associations between temperature and AP and severity endpoints were explored by logistic regression. We used restricted cubic splines to model continuous non-linear associations of temperature and AP with each endpoint. RESULTS: We analysed 16,545 patients. Daily T(max) and AP(max) (anomaly) of the day before patient ED arrival ranged from 0.8 to 41.6° and from – 61.7 to 69.9 hPa, respectively. A total of 12,352 patients (75.2%) were hospitalised, with in-hospital mortality in 1171 (7.1%). The probability of hospitalisation by HF decompensation showed a U-shaped curve versus T(max) and an increasing trend versus AP(max). Regarding temperature, hospitalisation significantly increased from 20 °C (reference) upwards (25 °C: OR = 1.12, 95% CI = 1.04-1.21; 40 °C: 1.65, 1.13-2.40) and below 5.4 °C (5 °C: 1.21, 1.01-1.46). Concerning the mean AP of the city (anomaly = 0 hPa), hospitalisation increased when AP(max) (anomaly) was above + 7.0 hPa (atmospheric anticyclone; + 10 hPa: 1.14, 1.05-1.24; + 30 hPa: 2.02. 1.35-3.03). The lowest probability of mortality also corresponded to cold-mild temperatures and low AP, with a significant increased risk only found for T(max) above 24.3 °C (25 °C: 1.13, 1.01-1.27; 40 °C: 2.05, 1.15-3.64) and AP(max) (anomaly) above + 3.4 hPa (+ 10 hPa: 1.21, 1.07-1.36; + 30 hPa: 1.73, 1.06-2.81). Sensitivity analysis confirmed the main analysis results. CONCLUSION: Temperature and AP are independently associated with the severity of HF decompensations, with possible different effects on the need for hospitalisation and in-hospital mortality.
Heatwaves, which are defined as prolonged periods of time when the weather is much hotter than usual, have been always serious threats to the occupational health and productivity of workers. To reduce the risk of occupational health hazards during heatwaves, various heat protection methods have been developed and applied. One of the proposed methods is to apply personal cooling onto a certain local body part of the worker, like one’s neck or one’s torso, using thermoelectric coolers. Several commercial solutions of this type are already available in the market, but a rigorous analysis of the effects of local cooling of body parts is not yet widely available. In this study, we use a human thermal behavior model, i.e., the FIALA-FE model, to assess the effectiveness of such a personal local cooling device under heatwaves. A whole-body thermal comfort index, i.e., predicted mean vote (PMV), and a local thermal sensation index, i.e., Zhang’s local thermal comfort index, are calculated under local cooling conditions of various body parts and compared to those without any cooling to assess the effectiveness of such a local cooling strategy. Our result shows that the local cooling strategy may provide only limited protection against extreme thermal conditions like heatwaves, suggesting that basic measures for the protection of workers including assured access to drinking water, frequent rest breaks, reduction of working hours, and suspension of work must remain as the primary means for protecting workers during heatwaves.
High drinking water temperatures occur due to climate change and could enhance the growth of opportunistic pathogens in drinking water systems. We investigated the influence of drinking water temperatures on the growth of Pseudomonas aeruginosa, Stenotrophomonas maltophilia, Mycobacterium kansasii and Aspergillus fumigatus in drinking water biofilms with an autochthonous microflora. Our results reveal that the growth of P. aeruginosa and S. maltophilia in the biofilm already occurred at 15.0 °C, whereas M. kansasii and A. fumigatus were able to grow when temperatures were above 20.0 °C and 25.0 °C, respectively. Moreover, the maximum growth yield of P. aeruginosa, M. kansasii and A. fumigatus increased with increasing temperatures up to 30 °C, whereas an effect of temperature on the yield of S. maltophilia could not be established. In contrast, the maximum ATP concentration of the biofilm decreased with increasing temperatures. We conclude from these results that high drinking water temperatures caused by, e.g., climate change can result in high numbers of P. aeruginosa, M. kansasii and A. fumigatus in drinking water systems, which poses a possible risk to public health. Consequently, it is recommended for countries with a more moderate climate to use or maintain a drinking water maximum standard temperature of 25 °C.
Previous studies have proved that exposure to extreme temperature in specific windows of pregnancy could cause some complications, such as pregnancy induced hypertension (PIH) and gestational diabetes mellitus (GDM), but differences in the effect of extreme temperature on the 2 complications are rarely studied. We carried a retrospective study on the impact of temperature on GDM/PIH in different trimesters based on data from a maternal and child health center in Beijing, China. Ambient temperatures (°C) were obtained from the China Meteorological Administration from January 1st, 2013 to May 15th, 2018. We use distributed lag non-linear models (DLNMs) combined with logistic regression to calculate the lag exposure-response relationships between the temperature and GDM/PIH from 1st to 24th/20th weeks of pregnancy. In both first and second trimesters, the risk of GDM was increased in summer with high temperatures; in second trimester, the risk of GDM increased in winter with low temperatures. In first half of pregnancy, risk of PIH was decreased in winter with low temperatures. These findings can provide the guideline for preventing the GDM and PIH induced by extreme temperature during pregnancy.
The summer outdoor thermal environment is gradually deteriorating in most cities in low and middle latitudes under global warming, threatening human health and life. This study was conducted to improve this situation, in which urban surface compositions were seen as the main influencing factors at vertical and horizontal levels. Results showed urban surface compositions affected the outdoor thermal environment at both levels. CVI and GVI were the key vertical factors, while NDBI and NDVI were the crucial horizontal ones. More importantly, synergies on the outdoor thermal environment between the two levels were found, and they were higher than any single level; the sums of the independent effects were 27.05% and 64.21%, and the synergetic explanatory powers were 9.10% and 34.37% for air temperature and humidity, respectively. The potential reason for the synergy between the two levels was attributed to their correlation, especially for the CVI and GVI to the NDBI and NDVI. The TVoEs of the CVI and GVI were 0.31 and 0.17, respectively, regulating air temperature at the vertical level, and the TVoE of the NDVI was 0.33, coordinating humidity at the horizontal level. These results provide scientific evidence and data support for urban planning and landscape design.
Arboviral infections such as Zika, chikungunya, dengue, and yellow fever pose significant health problems globally. The population at risk is expanding with the geographical distribution of the main transmission vector of these viruses, the Aedes aegypti mosquito. The global spreading of this mosquito is driven by human migration, urbanization, climate change, and the ecological plasticity of the species. Currently, there are no specific treatments for Aedes-borne infections. One strategy to combat different mosquito-borne arboviruses is to design molecules that can specifically inhibit a critical host protein. We obtained the crystal structure of 3-hydroxykynurenine transaminase (AeHKT) from A. aegypti, an essential detoxification enzyme of the tryptophan metabolism pathway. Since AeHKT is found exclusively in mosquitoes, it provides the ideal molecular target for the development of inhibitors. Therefore, we determined and compared the free binding energy of the inhibitors 4-(2-aminophenyl)-4-oxobutyric acid (4OB) and sodium 4-(3-phenyl-1,2,4-oxadiazol-5-yl)butanoate (OXA) to AeHKT and AgHKT from Anopheles gambiae, the only crystal structure of this enzyme previously known. The cocrystallized inhibitor 4OB binds to AgHKT with K (i) of 300 μM. We showed that OXA binds to both AeHKT and AgHKT enzymes with binding energies 2-fold more favorable than the crystallographic inhibitor 4OB and displayed a 2-fold greater residence time τ upon binding to AeHKT than 4OB. These findings indicate that the 1,2,4-oxadiazole derivatives are inhibitors of the HKT enzyme not only from A. aegypti but also from A. gambiae.
Innovative actions are local initiatives which leverage the interactions between the ocean and human health to reduce the risks and enhance the benefits for the stakeholders and the natural environment. These initiatives can have strong positive effects on human health and wellbeing as well as on the marine environment. We analysed 150 such innovative actions in Europe. Using a combined case study and survey approach, innovative actions were identified using interviews and content analysis of websites and compiled into a database. Quantitative data were analysed according to the Drivers, Pressures, State, Impact and Response (DPSIR) framework, guided by selected in-depth interviews. Overall, the innovative actions provided a positive impact on the health of both the ocean and humans through increasing food provision, water quality and tourism opportunities; and addressing environmental issues such as commercial fish stock depletion, pollution and climate change. Innovative actions contributed to meeting various targets of the Sustainable Development Goals (SDGs) 3, 13 and 14. These actions played a potential role ahead of and alongside policy. Some of the innovative actions may have potential to be put in place elsewhere. Such up-scaling would need to be adapted to local circumstances and could be facilitated by an innovative action exchange platform.
In this study, we have used thirteen statistically downscaled bias-corrected General Circulation Models (GCMs) from Coupled Model Intercomparison Project Phase 6 (CMIP6) under the Shared Socioeconomic Pathways (SSP) scenarios. Based on these models, the projected changes in mean rainfall and daily extremes (number of rainy days and simple daily intensity) during the southwest (SW) and northeast (NE) monsoon seasons in the near (2021-2050) and far future (2071-2100) under the SSP2-4.5 & SSP5-8.5 scenarios relative to the baseline period (1985-2014) are studied. In addition to the rainfall, the maximum, minimum, and mean temperature changes and their daily extremes are also examined. Our results show that the Multi-Model Mean (MMM) slightly underestimated (overestimated) the SW (NE) monsoon rainfall compared to the observed rainfall in the baseline period. A considerable increase in future rainfall during the SW monsoon season is noticed in central India, the Himalayan region, and over the northwestern parts of India. In the NE monsoon season, south peninsular India experiences more rainfall under SSP5-8.5 than SSP2-4.5. In general, both SSPs scenarios shows increase in monsoon rainfall from the mid-century onwards. Interestingly, by the end of the 21st century the number of rainy days are projected to reduce, whereas the intensity of rainfall projected to be drastically increase over many areas of India. Analysis of temperature revealed that there is increase in the projected warming with maximum temperature is around 4.5 degrees C during summertime, with minimum temperatures of about 5 degrees C in the wintertime in northern parts of India by the end of the 21st century. Under the SSP5-8.5 scenario, increase in the highest maximum temperatures is seen in the Himalayan region and elevated minimum temperature pattern over the Indo-Gangetic Basin (IGB) is noted. This increased warming may affect the agriculture, water, health, and power sectors severely.
The growing population, intensified anthropogenic pressures and climate variability have increased the demands on available water resources, and water reuse has become a high priority, particularly in areas of the world suffering from water stress. The main objectives of this review paper are to consider and identify the potential opportunities and challenges in the implementation of water reuse schemes worldwide by considering and analyzing different fields of interest in water reuse, the current and future global drivers of water reuse policies, the existing advances in treatment and reuse technologies promising elimination of environmental footprint and human health risk, an analysis of the trends in potable and non-potable reuse, and the development of quality criteria and issues related to transition circular economy. Moreover, the major knowledge gaps in critical issues on different domains of water reuse schemes are discussed. For this study, a thorough analysis of the current literature was conducted, using research and review articles, technical reports, specific national (and EU) proposals, guidance documents, and legislative initiatives and actions, as well as any validly disseminated findings by scientists around the world in the wider scientific area of (alternative) water resources, water supply, water management, sustainable development, and protection of public health. Water reuse practices are expected to increase in the future, mainly in developed countries and climate-vulnerable areas of the planet. Current advances in wastewater treatment and water reuse technologies can provide the opportunity for the foul exploitation of alternative water resources, increasing the potential of potable and non-potable water reuse systems worldwide, relying on pollutant/contaminant elimination, and improving economic and energy performances. Moreover, paradigmatic and technological switches based on an improved understanding of the relationships between the water cycle and the Water-Energy-Food (WEF) Nexus will increase the perspective of water reuse schemes. The benefits of the recovery of nutrients through sewage wastewater treatment are also highlighted, arising from reduced costs associated with their sheer removal and the supplement of fertilizers to the WEF Nexus. On the other hand, reduced nutrient removal may promote agricultural or landscape reuse practices, contributing to less energy consumption and reducing GHGs emissions. Regarding the management of water use schemes, a holistic approach (integrated management) is proposed, incorporating regulatory actions, actions increasing public awareness, interconnection among actors/stakeholders, and efficient control and monitoring. The establishment of quality criteria is paramount to preventing undesirable impacts on humans and the environment. The study considers the “one water” concept, which means equal water quality criteria independent of the origin of water, and instead differentiates among different types of water reuse as a means to facilitate implementation and management of potable and non-potable water reuse. Finally, it highlights the need to understand the impacts of water reuse systems on ecosystem services (ESs) and the consequences of achieving the global sustainable development goals (SDGs).
The psychological impacts of the climate crisis and its triggers can have long-lasting consequences for public mental health. Many indigenous communities have an in-depth understanding of these impacts, and some of their filmmakers have depicted them through their audiovisual work. By challenging colonial perspectives, these indigenous filmmakers offer invaluable insights into how communities might navigate into adaptation and recovery to cope with the challenges brought about by climate change. Unfortunately, audiovisual work has often been overlooked in climate-related disaster studies despite its significant contributions. Drawing on community-based feminism and the decolonial turn, I sought to explore the healing practices employed by communities in Upper Xingu, Brazil, through the practice of indigenous filmmaker Takuma Kuikuro. To achieve this, I drew on audiovisual analysis of Takuma Kuikuro’s documentaries and records (short videos) from the decolonial panorama. Additionally, I conducted semi-structured interviews with the filmmaker and three members of the People’s Palace Projects, who have worked closely with Takuma, culminating in a validation meeting. I highlight three key findings for this article: (i) healing through rituals as esthetic and ethical-sacred practices within the territory, (ii) bodies in collectivism, and (iii) cascading effects on healing audiences: weaving networks from reciprocities. In seeking a discussion of the findings, I contend that there is an inextricable bond between the community-based healing responses to the climate crisis shown by Takuma’s lenses and the Politics of the Bodies proposed by the Colombian philosopher Laura Quintana, allowing us to frame the decolonial understanding of healing as a political and collective action both within and with territories. Therefore, placing the indigenous cinema as a source of knowledge will enable us to bring community-based discussions that disaster risk reduction has neglected due to its embeddedness in epistemic injustice, from which at-risk communities have been predominantly seen as incapable of knowing their geographies. The rituals and collaborative practices grounded in reciprocity demonstrate forms of adaptation in which mental health becomes a collective responsibility woven into nature at its core.
PurposeSocial development is the ultimate goal of every nation, and climate change is a major stumbling block. Climate Risk Index has documented several climate change events with their devastations in terms of lives lost and economic cost. This study aims to link the climate change and renewable energy with the social progress of extreme climate affected countries. Design/methodology/approachThis research used the top 50 most climate-affected countries of the decade and estimated the impact of climate risk on social progress with moderation effects of renewable energy and technology. Several competing panel data models such as quantile regression, bootstrap quantile regression and feasible generalized least square are used to generate robust estimates. FindingsThe results confirm that climate hazards obstruct socioeconomic progress, but renewable energy and technology can help to mitigate the repercussion. Moreover, improved institutions enhance the social progress of nations. Research limitations/implicationsGovernment should improve the institutional quality that enhances their performance in terms of Voice and Accountability, Political Stability and Absence of Violence, Government Effectiveness, Regulatory Quality, Rule of Law and Control of Corruption to increase social progress. In addition, society should use renewable energy instead of fossil fuels to avoid environmental degradation and health hazards. Innovation and technology also play an important role in social progress and living standards, so there should be free hand to private business research and development, encouraging research institutes and universities to come forward for innovation and research. Practical implicationsThe ultimate goal of all human struggle is to have progress that facilitates human beings to uplift their living standard. One of the best measures that can tell us about a nation’s progress is Social Progress Index (SPI), and one of many factors that can abruptly change it is the climate; so this study is an attempt to link the relationship among these variables and also discuss the situation where the impact of climate can be reduced. Social implicationsAlthough social progress is an important concept of today’s economics discussion, relatively few studies are using the SPI to measure social well-being. Similarly, there is consensus about the impact of climate on people, government and crops but relatively less study about its overall impact on social progress, so this study attempts to fill the gap about the relationship between social progress and climate change. Originality/valueThe main contribution of this study is the solution for the impact of climate risk. Climate risk is not in human control, and we cannot eliminate it, but we can reduce the negative impacts of climate change. Moderator impact of renewable energy decreases the negative impact of climate change, so there is a need to use more renewable energy to mitigate the bad consequences of climate on social progress. Another moderator is technology; using technology will also mitigate the negative consequences of the climate, so there is a need to facilitate technological advancement.
BACKGROUND: Indigenous food systems (IFS) consider the complex relationships and connections between land, animals, plants, water, and people. These food systems may differ between regions, Indigenous cultures, and history; however, given the similar colonial histories and policies influencing Indigenous groups in Canada, the United States, Australia, and Aotearoa (New Zealand), the IFS changes and responses in these regions may follow similar trends. Climate change and pollution continue to impact the environment in catastrophic ways, and this, in turn, impacts IFS. However, to date, there has been no review of the literature on IFS, how they are changing, and how communities are responding to these changes. OBJECTIVE: In this scoping review, we will summarize primary research in Canada, the United States, Australia, and Aotearoa related to IFS addressing the following questions: (1) What changes are IFS experiencing in the context of climate change and pollution? (2) What actions have been taken in response to IFS changes? (3) What are the characteristics of IFS research in peer-reviewed academic literature? METHODS: We will use the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines for scoping reviews and the Joanna Briggs Institute reviewer’s manual to inform the review process. MEDLINE, SCOPUS, International Bibliography of the Social Sciences, Sociological Abstracts, and the Bibliography of Native North Americans are the databases included in this review search. All screening and extraction have been supported by Covidence software (Veritas Health Innovation) with 2 independent reviewers conducting the abstract and full-text screening. We will map concepts and themes related to the research questions to contribute to the understanding of IFS within the academic literature and provide a narrative review of the outcomes. RESULTS: The electronic database searches for this review were conducted in May 2021. Screening and full-text review were initially completed in the winter of 2022. We are currently in the process of compiling results and aim to share findings in 2023. CONCLUSIONS: This review will provide valuable insight into current IFS needs by summarizing the peer-reviewed literature on how IFS are changing because of climate change and pollution and how communities are responding to these changes. The results of this review will be shared with Indigenous communities, through academic publications, community conversations, and conference presentations. TRIAL REGISTRATION: OSF Registries osf.io/xrj87; https://osf.io/xrj87. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR1-10.2196/41627.
The climate change and increasing anthropogenic pressures are expected to limit the availability of water resources. Hence, active measures must be planned in vulnerable regions to ensure a sustainable water supply and minimize environmental impacts. A pilot test was carried out in the Llobregat River (NE Spain) aiming to provide a useful procedure to cope with severe droughts through indirect water reuse. Reclaimed water was used to restore the minimum flow of the lower Llobregat River, ensuring a suitable water supply downstream for Barcelona. A monitoring was performed to assess chemical and microbiological threats throughout the water treatment train, the river and the final drinking water, including 376 micropollutants and common microbiological indicators. The effects of water disinfection were studied by chlorinating reclaimed water prior to its discharge into the river. Data showed that 10 micropollutants (bromodichloromethane, dibromochloromethane, chloroform, EDDP, diclofenac, iopamidol, ioprimid, lamotrigine, ofloxacin and valsartan) posed a potential risk to aquatic life, whereas one solvent (1,4-dioxane) could affect human health. The chlorination of reclaimed water mitigated the occurrence of pharmaceuticals but, conversely, the concentration of halogenated disinfection by-products increased. From a microbiological perspective, the microbial load decreased along wastewater treatments and, later, along drinking water treatment, ultimately reaching undetectable values in final potable water. Non-chlorinated reclaimed water showed a lower log reduction of E. coli and coliphages than chlorinated water. However, the effect of disinfection vanished once reclaimed water was discharged into the river, as the basal concentration of microorganisms in the Llobregat River was comparable to that of non-chlorinated reclaimed water. Overall, our study indicates that indirect water reuse can be a valid alternative source of drinking water in densely populated areas such as Barcelona (Catalonia – NE Spain). A suitable monitoring procedure is presented to assess the related risks to human health and the aquatic ecosystem.
The indoor air quality (IAQ) was investigated in 15 Passive Houses in the heating and non-heating seasons between 2019 and 2021 in Hungary. The concentrations of volatile organic compounds (VOCs), aldehydes, ozone, nitrogen dioxide, PM2.5 mass, carbon dioxide, bacteria, fungi, and pollen were measured together with the monitoring of temperature, relative humidity and air change rate (ACR). The IAQ varied considerably among the investigated buildings. Significant seasonal differences were obtained for all physical parameters (temperature, relative humidity, ACR), certain VOCs (benzene, alpha-pinene, limonene), acetaldehyde, and airborne fungi. Considerable health concern was associated with the indoor concentrations of PM2.5 mass and nitrogen dioxide in many cases based on the evaluation of IAQ in relation to potential adverse health effects, while the peak con-centrations of other pollutants (e.g. trichloroethylene, alpha-pinene, certain aldehydes, fungi) were also of concern in a couple of cases. The median indoor/outdoor concentration ratios of benzene, PM2.5 mass, nitrogen dioxide, ozone and fungi indicated that these pollutants are mainly of outdoor origin, while the other VOCs, aldehydes and bacteria showed higher concentration indoors. Overheating, the lack of proper particle filters in the me-chanical ventilation system, and low ACR and relative humidity were identified as frequent problems related to the building characteristics. The emissions from building materials and furniture, the proximity of construction works and unpaved roads, and the allergenic vegetation might considerably influence IAQ. The results highlight that risk reduction measures are needed to create healthier indoor environment in the Passive Houses.
Low quality in a museum’s internal microclimate can induce both the deterioration of the exhibit collections, as well as affecting the health of visitors, employees and restorers. Starting from this premise, the present study aims to study the perception of visitors and employees of Darvas-La Roche Museum House (Romania) in relation to the air quality in the exhibition spaces. Their opinions were analyzed based on a questionnaire comprising 11 items aimed at understanding the influence of the indoor environment on the health of individuals, the degree of disturbance induced by the indoor air, if they experienced symptoms of illness after visiting the museum, etc. The obtained data were analyzed statistically in the SPSS 28 program, using tests such as coefficient, analysis of variance (ANOVA) and model summary, in order to obtain correlations between the sets of variables. The results obtained indicate that the majority of respondents perceived the indoor air quality as good, but there were also exceptions (approximately 20% of the respondents), which indicated different symptoms induced by the indoor air. Most of those (%) affected stated that they had pre-existing conditions, wear contact lenses or are smokers. In their case, the statistical-mathematical analyses indicated strong correlations between the ailments they suffer from and the appearance of certain discomforts (caused by too low or too high temperature, dust or dry air, etc.) and disease symptoms (nasal congestion, eye and skin irritations, coughs, migraines, frequent colds, etc.).
Public health agencies recommend that older adults without home air-conditioning visit cooling centres to mitigate physiological strain from high ambient temperatures during heat waves. However, there is little evidence regarding their influence on self-reported environmental symptoms and mood-state after returning to the heat. METHODS: Forty adults (64-79 years) underwent a daylong laboratory-based indoor overheating simulation (9-hours, heat index: 37 °C) with (cooling, n = 20) or without (control, n = 20) a 2-hour air-conditioning intervention (hours 5-6). Mean skin and core temperature areas under the curve (AUC, hours 0-9) were used to assess cumulative thermal strain. Group differences in total symptom scores and subjective heat illness (68-item environmental symptoms questionnaire) as well as total mood disturbance and energy index (40-item profile of mood states questionnaire) were evaluated at end-heating (adjusted for pre-exposure scores). RESULTS: Cooling reduced mean skin and core temperature AUCs by 4.0 [0.1, 0.8] and 1.6 [0.4, 2.8] °C·hour compared to control (both p < 0.048). However, at end-heating neither mean skin nor core temperatures differed between groups (both p > 0.999). Total symptom scores and subjective heat illness were 0.58-fold [0.44, 0.77] and 0.56-fold [0.40, 0.78] lower in the cooling compared to control group (both p < 0.001). Mood disturbance was 0.91-fold [0.83, 0.99] lower for cooling than control (p = 0.036), although energy index was not different between groups (p = 0.141). CONCLUSION: Cooling centres can have sustained positive effects on perceived thermal strain and mood-state in older adults after returning to the heat. However, continued vigilance and use of appropriate countermeasures to mitigate physiological strain from indoor overheating should be encouraged as body temperatures can rapidly return to pre-cooling levels.
Inequality and climate change represent two key challenges in modern societies across the world. In this paper, we provide a critical engagement with the literature that treats aggravated social and economic inequalities as (potential) negative outcomes of climate and low-carbon transition policies that aim to achieve carbon emission reductions in energy and transport sectors. We introduce a conceptual meta-review that systematises but also departs from three existing literature reviews by challenging the prevailing treatment of inequalities as ex-post negative outcomes. Instead, we draw on literature that treats multifaceted inequalities as systemic occurrences that are rooted in socio-economic structures. Therefore, the conceptual meta-review exhibits an inequality filter which shapes the nature of policy costs, benefits and compliance. In other words, multifaceted inequalities are treated as ex-ante phenomena that interact with climate and low-carbon transition policies. This interaction then determines social outcomes in terms of energy access, health, employment, essential goods affordability and livelihoods. Each of these outcomes then feed back into the inequality filter where existing inequalities are either amplified or diminished. In order to examine the efficacy of our conceptual framework, we also provide a limited review of more recent literature that discusses the social outcomes of climate and low-carbon transition policies as well as measures to prevent negative social outcomes. Altogether, this paper suggests that the mitigation of systemic inequalities, rather than the prevention of aggravated inequalities, is necessary to avert the transmission from climate and low-carbon policies to negative social outcomes.
Understanding the costs and benefits of climate change mitigation and adaptation options is crucial to justify and prioritize future decarbonization pathways to achieve net zero. Here, we quantified the co-benefits of decarbonization for air quality and public health under scenarios that aim to limit end-of-century warming to 2 degrees C and 1.5 degrees C. We estimated the mortality burden attributable to ambient PM2.5 exposure using population attributable fractions of relative risk, incorporating projected changes in population demographics. We found that implementation of decarbonization scenarios could produce substantial global reductions in population exposure to PM2.5 pollution and associated premature mortality, with maximum health benefits achieved in Asia around mid-century. The stringent 1.5oC-compliant decarbonization scenario (SSP1-1.9) could reduce the PM2.5-attributable mortality burden by 29% in 2050 relative to a middle-of-the-road scenario (SSP2-4.5), averting around 2.9 M annual deaths worldwide. While all income groups were found to benefit from improved air quality through a combination of decarbonization and air pollution controls, the smallest health benefits are experienced by the low-income population. The disparity in PM2.5 exposure across income groups is projected to reduce by 2100, but a 30% disparity between high- and low-income groups persists even in the strongest mitigation scenario. Further, without additional and targeted air quality measures, low- and lower-middle-income populations (predominantly in Africa and Asia) will continue to experience PM2.5 exposures that are over three times the World Health Organization Air Quality Guideline. Implementation of decarbonization strategies to mitigate future climate change can provide additional benefits or “co-benefits” through improved air quality and public health. Quantifying these benefits and how they manifest across different world regions and income groups is essential to incentivize climate action. In this work we have quantified the air pollution health co-benefits for three different possible future scenarios: one “middle-of-the-road” scenario and two decarbonization scenarios. We found that by following a future decarbonization pathway instead of a “middle-of-the-road” pathway, can generate substantial air quality and public health benefits worldwide, particularly in Asia around 2050. While all income groups were found to benefit from improved air quality through decarbonization, the smallest health benefits are experienced by the low-income population. Inequalities in air pollution exposure between the lower-income and high-income groups were found to reduce rapidly under a decarbonization pathway, but persist through to 2100 even under the strongest mitigation. Further, without additional and targeted air quality measures, low- and lower-middle-income populations (predominantly in Africa and Asia) will continue to experience air pollution levels that exceed the World Health Organization Air Quality Guideline. Decarbonization has the potential to generate substantial health co-benefits by averting millions of premature deaths associated with PM2.5 exposure across all income groupsThe low-income population is predicted to experience the smallest health benefits of decarbonization and continue to be exposed to PM2.5 concentrations that are over three times that of the World Health Organization Air Quality GuidelineUnder a decarbonization future pathway, the global socioeconomic disparity in PM2.5 exposure reduces but persists at around 30% by the end of the century
Due to sustainability concerns related to current diets and environmental challenges, it is crucial to have sound policies to protect human and planetary health. It is proposed that sustainable diets will improve public health and food security and decrease the food system’s effect on the environment. Micronutrient deficiencies are a well-known major public health concern. One-third to half of the world’s population suffers from nutrient deficiencies, which have a negative impact on society in terms of unrealised potential and lost economic productivity. Large-scale fortification with different micronutrients has been found to be a useful strategy to improve public health. As a cost-effective strategy to improve micronutrient deficiency, this review explores the role of micronutrient fortification programmes in ensuring the nutritional quality (and affordability) of diets that are adjusted to help ensure environmental sustainability in the face of climate change, for example by replacing some animal-sourced foods with nutrient-dense, plant-sourced foods fortified with the micronutrients commonly supplied by animal-sourced foods. Additionally, micronutrient fortification considers food preferences based on the dimensions of a culturally sustainable diet. Thus, we conclude that investing in micronutrient fortification could play a significant role in preventing and controlling micronutrient deficiencies, improving diets and being environmentally, culturally and economically sustainable.
Climate change is an active and growing threat to human health. This review examines the evidence linking climate change to kidney diseases, with a focus on acute kidney injury (AKI). RECENT FINDINGS: A growing body of evidence documents the adverse impact of various environmental and occupational exposures on kidney health. Extreme heat exposure increases the risk for AKI in vulnerable populations, particularly outdoor workers. These effects are being seen in both developed and developing nations, impacting equatorial as well as more northern climates. Climate change is also increasing the risk of water-borne and vector-borne infections, which are important causes of AKI in tropical regions. Due to overlapping environmental and social risk factors, populations in low-income and middle-income countries are likely to be disproportionately affected by climate-related health impacts, including heightened risk for kidney diseases. SUMMARY: Climate change will adversely impact global kidney health over the course of the century through effects on temperature and risk of endemic infections. Alongside efforts to aggressively reduce carbon emissions, additional research is needed to guide public and environmental health policies aimed at mitigating the impact of climate change on human health.
In contemporary global society, largely because of climate change and other natural and human-induced hazards, disasters are an almost daily occurrence. The nutritional impact of disasters on children results in long-term physical and mental health problems. As children are one of the most vulnerable demographic groups, they must be empowered with disaster preparedness nutrition knowledge, and the skills and motivation to survive, prevent/reduce malnutrition, and maintain good health during disasters. A disaster preparedness nutrition education program (DPNEP) was developed in this study to improve children’s nutrition in daily life and during disasters through student-centered education. A consultative approach was used to synthesize the knowledge of a diverse group of four experts in disaster medicine and management, public health, education, and food and nutrition sciences to reach a consensus through discussion. A model DPNEP was developed by targeting grade 4 and 5 students and using interactive teaching methods. This can lead to the implementation of continuous nutrition education to empower children to make healthy food choices in daily life and reduce the risk of disaster-nutrition-related morbidity and mortality. Furthermore, once children acquire the necessary information, they are likely to share this knowledge with their families and communities, thereby enhancing society’s resilience.
The incidence of heat emergencies, including heat stroke and heat exhaustion, have increased recently due to climate change. This has affected global health and has become an issue of consideration for human health and well-being. Due to overlapping clinical manifestations with other diseases, and most of these emergencies occurring in an elderly patient, patients with a comorbid condition, or patients on poly medicine, diagnosing and managing them in the emergency department can be challenging. This study assessed whether an educational training on heat emergencies, defined as heat intervention in our study, could improve the diagnosis and management practices of ED healthcare providers in the ED setting. METHODS: A quasi-experimental study was conducted in the EDs of four hospitals in Karachi, Pakistan. Eight thousand two hundred three (8203) patients were enrolled at the ED triage based on symptoms of heat emergencies. The pre-intervention data were collected from May to July 2017, while the post-intervention data were collected from May to July 2018. The HEAT intervention, consisting of educational activities targeted toward ED healthcare providers, was implemented in April 2018. The outcomes assessed were improved recognition-measured by increased frequency of diagnosing heat emergencies and improved management-measured by increased temperature monitoring, external cooling measures, and intravenous fluids in the post-intervention period compared to pre-intervention. RESULTS: Four thousand one hundred eighty-two patients were enrolled in the pre-intervention period and 4022 in the post-intervention period, with at least one symptom falling under the criteria for diagnosis of a heat emergency. The diagnosis rate improved from 3% (n = 125/4181) to 7.5% (n = 7.5/4022) (p-value < 0.001), temperature monitoring improved from 0.9% (n = 41/4181) to 13% (n = 496/4022) (p-value < 0.001) and external cooling measure (water sponging) improved from 1.3% (n = 89/4181) to 3.4% (n = 210/4022) (p-value < 0.001) after the administration of the HEAT intervention. CONCLUSION: The HEAT intervention in our study improved ED healthcare providers' approach towards diagnosis and management practices of patients presenting with health emergencies (heat stroke or heat exhaustion) in the ED setting. The findings support the case of training ED healthcare providers to address emerging health issues due to rising temperatures/ climate change using standardized treatment algorithms.
Background: The mental health impacts of climate change-related disasters are significant. However, access to mental health services is often limited by the availability of trained clinicians. Although building local community capability for the mental health response is often prioritised in policy settings, the lack of evidence-based programs is problematic. The aim of this study was to test the efficacy of the Skills for Life Adjustment and Resilience programme (SOLAR) delivered by trained local community members following compound disasters (drought, wildfires, pandemic-related lockdowns) in Australia.Method: Thirty-six community members were trained to deliver the SOLAR programme, a skills-based, trauma informed, psychosocial programme. Sixty-six people with anxiety, depression and/or posttraumatic stress symptoms, and impairment were randomised into the SOLAR programme or a Self-Help condition. They were assessed pre, post and two months following the interventions. The SOLAR programme was delivered across five 1-hourly sessions (either face to face or virtually). Those in the Self-Help condition received weekly emails with self-help information including links to online educational videos.Results: Multigroup analyses indicated that participants in the SOLAR condition experienced significantly lower levels of anxiety and depression, and PTSD symptom severity between pre – and post-intervention (T1 to T2), relative to the Self-Help condition, while controlling for scores at intake. These differences were not statistically different at follow-up. The SOLAR programme was associated with large effect size improvements in posttraumatic stress symptoms over time.Conclusion: The SOLAR programme was effective in improving anxiety, depression and posttraumatic stress symptoms over time. However, by follow-up the size of the effect was similar to an active self-help condition. Given the ongoing stressors in the community associated with compounding disasters it may be that booster sessions would have been useful to sustain programme impact.Trial registration: Australian New Zealand Clinical Trials Registry identifier: ACTRN12621000283875..
Urban environments influence child behaviours, exposures and experiences and may affect health, development, achievement and realization of fundamental human rights. We examined the status of eleven UN Convention on the Rights of the Child articles, in a multi-case study across four global cities. Within all study cities, children experienced unequal exposure to urban environmental risks and amenities. Many violations of child rights are related to car-based transportation systems and further challenged by pressures on urban systems from rapid population increases in the context of climate change. A child rights framework provides principles for a collective, multi-sectoral re-imagination of urban environments that support the human rights of all citizens.
OBJECTIVES: Climate change and environmental factors have an impact on human health and the ecosystem. The healthcare sector is responsible for substantial environmental pollution. Most healthcare systems rely on economic evaluation to select efficient alternatives. Nevertheless, environmental spillovers of healthcare treatments are rarely considered whether it is from a cost or a health perspective. The objective of this article is to identify economic evaluations of healthcare products and guidelines that have included any environmental dimensions. METHODS: Electronic searches of 3 literature databases (PubMed, Scopus, and EMBASE) and official health agencies guidelines were conducted. Documents were considered eligible if they assessed the environmental spillovers within the economic evaluation of a healthcare product or provided any recommendations on the inclusion of environmental spillovers in the health technology assessment process. RESULTS: From the 3878 records identified, 62 documents were deemed eligible and 18 were published in 2021 and 2022. The environmental spillovers considered were carbon dioxide (CO(2)) emissions, water or energy consumption, and waste disposal. The environmental spillovers were mainly assessed using the lifecycle assessment (LCA) approach while the economic analysis was mostly limited to costs. Only 9 documents, including the guidelines of 2 health agencies presented theoretical and practical ways to include environmental spillovers into the decision-making process. CONCLUSIONS: There is a clear lack of methods on whether environmental spillovers should be included in health economic evaluation and how this should be done. If healthcare systems want to reduce their environment footprint, the development of methodology which integrates environmental dimensions in health technology assessment will be key.
Increases in population exposure to humid heat extremes in agriculturally-dependent areas of the world highlights the importance of understanding how the location and timing of humid heat extremes intersects with labor-intensive agricultural activities. Agricultural workers are acutely vulnerable to heat-related health and productivity impacts as a result of the outdoor and physical nature of their work and by compounding socio-economic factors. Here, we identify the regions, crops, and seasons when agricultural workers experience the highest hazard from extreme humid heat. Using daily maximum wet-bulb temperature data, and region-specific agricultural calendars and cropland area for 12 crops, we quantify the number of extreme humid heat days during the planting and harvesting seasons for each crop between 1979-2019. We find that rice, an extremely labor-intensive crop, and maize croplands experienced the greatest exposure to dangerous humid heat (integrating cropland area exposed to >27 degrees C wet-bulb temperatures), with 2001-2019 mean rice and maize cropland exposure increasing 1.8 and 1.9 times the 1979-2000 mean exposure, respectively. Crops in socio-economically vulnerable regions, including Southeast Asia, equatorial South America, the Indo-Gangetic Basin, coastal Mexico, and the northern coast of the Gulf of Guinea, experience the most frequent exposure to these extremes, in certain areas exceeding 60 extreme humid heat days per year when crops are being cultivated. They also experience higher trends relative to other world regions, with certain areas exceeding a 15 day per decade increase in extreme humid heat days. Our crop and location-specific analysis of extreme humid heat hazards during labor-intensive agricultural seasons can inform the design of policies and efforts to reduce the adverse health and productivity impacts on this vulnerable population that is crucial to the global food system.
Climate change, in particular the exposure to heat, impacts on human health and can trigger diseases. Pregnant people are considered a vulnerable group given the physiological changes during pregnancy and the potentially long-lasting consequences for the offspring. Evidence published to date on higher risk of pregnancy complications upon heat stress exposure are from geographical areas with high ambient temperatures. Studies from geographic regions with temperate climates are sparse; however, these areas are critical since individuals may be less equipped to adapt to heat stress. This study addresses a significant gap in knowledge due to the temperature increase documented globally. METHODS: Birth data of singleton pregnancies (n = 42,905) from a tertiary care centre in Hamburg, Germany, between 1999 and 2021 were retrospectively obtained and matched with climate data from the warmer season (March to September) provided by the adjacent federal meteorological station of the German National Meteorological Service to calculate the relative risk of heat-associated preterm birth. Heat events were defined by ascending temperature percentiles in combination with humidity over exposure periods of up to 5 days. Further, ultrasound data documented in a longitudinal prospective pregnancy cohort study (n = 612) since 2012 were used to identify pathophysiological causes of heat-induced preterm birth. FINDINGS: Both extreme heat and prolonged periods of heat exposure increased the relative risk of preterm birth (RR: 1.59; 95% CI: 1.01-2.43; p = 0.045; RR: 1.20; 95% CI: 1.02-1.40; p = 0.025). We identified a critical period of heat exposure during gestational ages 34-37 weeks that resulted in increased risk of late preterm birth (RR: 1.67; 95% CI: 1.14-1.43; p = 0.009). Pregnancies with a female fetus were more prone to heat stress-associated preterm birth. We found heat exposure was associated with altered vascular resistance within the uterine artery. INTERPRETATION: Heat stress caused by high ambient temperatures increases the risk of preterm birth in a geographical region with temperate climate. Prenatal routine care should be revised in such regions to provide active surveillance for women at risk. FUNDING: Found in acknowledgements.
The purpose of this study is to explore the associations among dry eye disease (DED), air pollution, and meteorological conditions in the cold region of a northeastern Chinese metropolis (i.e., Changchun). Data on ambient air pollutants and meteorological parameters as well as diagnosed DED outpatients during 2015-2021 were collected. The associations between DED and environmental factors were analysed at multiple time scales using various statistical methods (i.e., correlation, regression and machine learning). Among the 10,809 DED patients (21,617 eyes) studied, 64.60% were female and 35.40% were male. A higher frequency of DED was observed in March and April, followed by January, August and October. Individual and multiple factor models showed the positive importance of particles with aerodynamic diameters <10 μm (PM(10)), carbon monoxide (CO), and ozone (O(3)) among normal air pollutants and air pressure (AP), air temperature (AT) and wind speed (WS) among normal meteorological parameters. Air pollutants (PM(10), nitrogen dioxide: NO(2)) and meteorological parameters (AT, AP) have combined impacts on DED occurrence. For the first time, we further explored the associations of detailed components of atmospheric particles and DED, suggesting potential emission sources, including spring dust from bare soil and roads and precursor pollutants of summer O(3) formation from vehicles and industry in Northeast China. Our results revealed the quantitative associations among air pollutants, meteorological conditions and DED outpatients in cold regions, highlighting the importance of coordinated policies in air pollution control and climate change mitigation.
Climate change is exposing populations to increasing temperatures and extreme weather events in many parts of Australia. To prepare for climate challenges, there is a growing need for Local Health Districts (LHDs) to identify potential health impacts in their region and strengthen the capacity of the health system to respond accordingly. This rapid review summarised existing evidence and research gaps on the impact of climate change on health and health services in Northern New South Wales (NSW)-a ‘hotspot’ for climate disaster declarations. We systematically searched online databases and selected 11 peer-reviewed studies published between 2012-2022 for the Northern NSW region. The most explored health outcome was mental health in the aftermath of floods and droughts, followed by increased healthcare utilisation due to respiratory, cardiovascular and mortality outcomes associated with bushfire smoke or heat waves. Future research directions were recommended to understand: the compounding impacts of extreme events on health and the health system, local data needs that can better inform models that predict future health risks and healthcare utilisation for the region, and the needs of vulnerable populations that require a whole-of-system response during the different phases of disasters. In conclusion, the review provided climate change and health research directions the LHD may undertake to inform future adaptation and mitigation policies and strategies relevant to their region.
This scoping review explores the extant literature on climate change impacts on Workplace Health and Safety (WHS) in Australia. It maps the coverage of climate hazards, occupations at risk, and health and socio-economic impacts with the aim of identifying climate change impacts on WHS in Australia and associated knowledge gaps. We used a scoping review approach to identify and investigate 41 scholarly works at the nexus between climate change and WHS in Australia. Thematic template analysis and the NVivo software helped us identify and structure the main themes and systematically document the analysis process. The review highlighted a research focus on the impacts on WHS of heat and extreme weather events resulting from climate change. Agriculture and construction emerged as the most examined occupations, emphasising climate-related diseases and productivity loss. Other climate-related hazards, occupations, and health and socio-economic impacts were largely overlooked in the included research literature. The analysis revealed there is scope for further research relating to climate change impacts on occupational hazards (e.g., air pollution), occupations (e.g., indoor settings at risk), worker health (e.g., injuries), and socio-economic impacts (e.g., change in social practice). Furthermore, the results highlight that the main themes (hazards, occupations, health, and productivity) are interconnected, and the impacts of climate change can be ‘cascading’, adding complexity and severity. Hence, it is important to look at WHS as a multifaceted phenomenon in a holistic way to understand the risks and support required.
BACKGROUND: Indigenous populations in Canada and the United States (US) have maintained reciprocal relationships with nature, grounded in respect for and stewardship of the environment; however, disconnection from traditional food systems has generated a plethora of physical and mental health challenges for communities. Indigenous food sovereignty including control of lands were found to be factors contributing to these concerns. Therefore, our aim was to conduct a scoping review of the peer-reviewed literature to describe Indigenous disconnection from Indigenous food systems (IFS) in Canada and the US. METHODS: Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Scoping Reviews (PRISMA-SR) and Joanna Briggs Institute guidelines, we searched MEDLINE, SCOPUS, International Bibliography of the Social Sciences, Sociological Abstracts, and Bibliography of Native North Americans. Data was extracted from 41 studies and a narrative review completed based on study themes. RESULTS: The overarching theme identified in the included studies was the impact of colonization on IFS. Four sub-themes emerged as causes for Indigenous disconnection from traditional food systems, including: climate change; capitalism; legal change; and socio-cultural change. These sub-themes highlight the multiple ways in which colonization has impacted Indigenous food systems in Canada and the US and important areas for transformation. CONCLUSIONS: Efforts to reconnect Indigenous knowledge and values systems with future food systems are essential for planetary health and sustainable development. Traditional knowledge sharing must foreground authentic Indigenous inclusion within policymaking.
Climate change is a key factor that profoundly affects aquatic environments. Because of climate warming, the increase in the intensity and frequency of extreme climate events has aggravated the uncertainty of nitrogen pollution. However, the risk of nitrogen loss under different climatic conditions has not been well assessed, which is of great significance for controlling diffuse pollution. In this study, we used the upper and middle Wei River Basin (UMWB) as the study area, and selected organic nitrogen (Org-N) and nitrate (NO3-N) as the two forms of nitrogen pollution. Then, we quantified the contributions of 10 climate factors and combined the Soil and Water Assessment Tool (SWAT) and copula to analyze the risk of pollution when extreme weather occurs. Our results showed that during periods of high precipitation and temperature, Org-N loss accounted for 96% and 83% of the total loss, and nitrate loss accounted for 74% and 67%, respectively. Org-N loss responded more strongly to high precipitation than nitrate loss because Org-N was transported with soil particles. The attribution analysis indicated that high precipitation amount (R95P) contributed to the largest Org-N loss. As for the nitrate loss, R95P, normal precipitation amount, and consecutive days with no precipitation were the most important climatic drivers, accounting for 35%, 32%, and 13% of the watershed area, respectively. After selecting critical source areas by identification method, an optimized copula model for nitrogen loss and the main climatic factors was proposed. The risk of nitrogen pollution under the defined climate severity was then quantified. The probabilities of Org-N and nitrate loss exceeding the top 1%-20% were 0.2%-15% and 0.8%-10% when the precipitation exceeded the top 20%. The pollution risk caused by high temperatures is lower than that caused by precipitation. This study emphasized the dominant role of extreme climate in driving nitrogen loss and proposed a method for quantifying the risk of nitrogen pollution under specific climate conditions, which enabled man-agers to identify high-risk pollution areas and optimize management measures to prevent diffuse nitrogen pollution.
Workers in many industries are frequently exposed to hot weather conditions. To protect workers’ health and safety, it is important to evaluate the existing heat-related policies practiced in workplaces in accordance with national guidelines. We used a case study design to evaluate the existing heat-related policies of a large con-struction company and five of its subcontractors according to the guidelines provided by safe work Australia (SWA). We used snowball sampling to acquire documents from the companies. The retrieved documents were analysed thematically using the framework approach. The main guidance themes and categories were developed deductively based on “the guide for working in heat” provided by SWA. The data was interpreted and summarized. Our results suggest that all policies advised on some administrative control measures, safe work practices for workers, use of personal protective equipment, and emergency response plans. The majority of policies focus on administrative control measures, which may not be practicable at all times and are not a high level of health and safety control if implemented alone. The policies do not comprehensively cover some most important aspects of heat stress management such as consultation with workers, risk assessment of heat hazard, promoting training and awareness programs among workers, and reviewing and evaluating control measures and heat stress in-cidents. Priorities for heat-related policy development include an increased emphasis on preparation and plan-ning for hot weather in consultation with workers, along with considering location-specific, workplace, and individual risk factors in assessing the heat hazard at the workplace.
Climate change and air pollution are closely interlinked since carbon dioxide and air pollutants are co-emitted from fossil fuel combustion. Net Zero (NZ) policies aiming to reduce carbon emissions will likely bring co-benefits in air quality and associated health. However, it is unknown whether regional NZ policies alone will be sufficient to reduce air pollutant levels to meet the latest 2021 World Health Organisation (WHO) guidelines. Here, we carried out high resolution air quality modelling for in the West Midlands region, a typical metropolitan area in the UK, to quantify the effects of different NZ policies on air quality. Results show that NZ policies will significantly improve air quality in the West Midlands, with up to 6 μg m(-3) (21%) reduction in annual mean NO(2) (mostly through the electrification of vehicle fleet, EV) and up to 1.4 μg m(-3) (12%) reduction in annual mean PM(2.5) projected for 2030 relative to levels under a “business as usual” (BAU) scenario. Under BAU, 2030 PM(2.5) concentrations in most wards would be below 10 μg m(-3) whilst under the Net Zero scenario, those in all wards would be below 10 μg m(-3). This means that the ward averages in the West Midlands would meet the UK PM(2.5) of 10 μg m(-3)target a decade early under the Net Zero scenario. However, no ward-level-averaged annual mean PM(2.)concentrations meet the 2021 WHO Air Quality guideline level of 5 μg m(-3) under any scenario. Similarly for NO(2) only 18 wards (8% of the region’s population) are predicted to have NO(2) concentrations below the 2021 WHO guideline level (10 μg m(-3)). Decarbonisation policies linked to Net Zero deliver substantial regional air quality benefits, but are not in isolation sufficient to deliver clean air with air pollutant levels low enough to meet the 2021 WHO guidelines.
Ocean warming and marine heatwaves significantly alter environmental conditions in marine and estuarine environments. Despite their potential global importance for nutrient security and human health, it is not well understood how thermal impacts could alter the nutritional quality of harvested marine resources. We tested whether short-term experimental exposure to seasonal temperatures, projected ocean-warming temperatures, and marine heatwaves affected the nutritional quality of the eastern school prawn (Metapenaeus macleayi). In addition, we tested whether nutritional quality was affected by the duration of exposure to warm temperatures. We show the nutritional quality of M. macleayi is likely to be resilient to short- (28 d), but not longer-term (56 d) exposure to warming temperatures. The proximate, fatty acid and metabolite compositions of M. macleayi were unchanged after 28 d exposure to simulated ocean warming and marine heatwaves. The ocean-warming scenario did, however, show potential for elevated sulphur, iron and silver levels after 28 d. Decreasing saturation of fatty acids in M. macleayi after 28 d exposure to cooler temperatures indicates homeoviscous adaptation to seasonal changes. We found that 11 % of measured response variables were significantly different between 28 and 56 d when exposed to the same treatment, indicating the duration of exposure time and time of sampling are critical when measuring this species’ nutritional response. Further, we found that future acute warming events could reduce harvestable biomass, despite survivors retaining their nutritional quality. Developing a combined knowledge of the variability in seafood nutrient content with shifts in the availability of harvested seafood is crucial for understanding seafood-derived nutrient security in a changing climate.
Climate change threatens health directly as well as indirectly through impacts on health-related behaviors. Physical activity, nutrition and sleep are key health-related behaviors for population health. We aimed at elucidating the impacts of climate change which emerge gradually on these three key health-related behaviors, particularly focusing on scenarios and projections relevant to people living in the northern Europe. We conducted a systematic literature search in three different databases in January 2023 to identify English language review articles summarizing the effects of climate change on either physical activity, nutrition, sleep, or their combination. We identified 15 review articles on the topic. Data on climate change impacts on nutrition and sleep were sparse, and those on physical activity were heterogeneous. The climate in northern Europe will become warmer and sunnier in summer as well as warmer and darker in winter, which will probably increase the level of physical activity, but decrease the consumption of fruits and vegetables, as well as increase the occurrence of sleep disturbances in a population.The anticipated changes in physical activity, nutrition and sleep driven by climate change influence population health and call for grass-roots action plans for adaptation.
In 2019/20 major bushfires devastated Australia’s East Coast. Shortly afterward the COVID-19 pandemic was declared. Older people are disproportionately affected by disasters and are at high risk from respiratory pandemics. However, little is known about how these events impact on older peoples’ health and well-being and engagement with services such as primary care. OBJECTIVE: To explore the health impacts of the 2019/20 bushfires and the COVID-19 pandemic on older Australians’ health and well-being. METHODS: One hundred and fifty-five people aged over 65 years living in South-eastern New South Wales, Australia participated in an online survey. The survey measured the impacts of the bushfires and COVID-19 on physical and mental health and the capacity of older people to manage these impacts. RESULTS: Most respondents felt that the bushfires caused them to feel anxious/worried (86.2%) and negatively affected their physical (59.9%) and mental (57.2%) health. While many participants had similar feelings about COVID-19, significantly fewer felt these physical and mental health impacts than from the bushfires. A significantly greater perceived level of impact was observed for females and those with health problems. More respondents described negative mental health than physical health effects. Those who felt more impacted by the events had lower levels of resilience, social connection and support, and self-rated health. CONCLUSION: The health impacts identified in this study represent an opportunity for primary care to intervene to both ensure that people with support needs are identified and provided timely support and that older people are prepared for future disasters.
Wildfires are increasing yearly in number and severity as a part of the evolving climate crisis. These fires are a significant source of air pollution, a common driver of flares in cardiorespiratory disease, including asthma, which is the most common chronic disease of childhood. Poorly controlled asthma leads to significant societal costs through morbidity, mortality, lost school and work time and healthcare utilization. This retrospective cohort study set in Calgary, Canada evaluates the relationship between asthma exacerbations during wildfire smoke events and equivalent low-pollution periods in a pediatric asthma population. Air pollution was based on daily average levels of PM(2.5). Wildfire smoke events were determined by combining information from provincial databases and local monitors. Exposures were assumed using postal codes in the health record at the time of emergency department visits. Provincial claims data identified 27,501 asthma exacerbations in 57,375 children with asthma between 2010 to 2021. Wildfire smoke days demonstrated an increase in asthma exacerbations over the baseline (incidence rate ratio: 1.13; 95% CI: 1.02-1.24); this was not seen with air pollution in general. Increased rates of asthma exacerbations were also noted yearly in September. Asthma exacerbations were significantly decreased during periods of COVID-19 healthcare precautions.
BACKGROUND: Adaptation, to reduce the health impacts of climate change, is driven by political action, public support and events (extreme weather). National adaptation policies or strategies are limited in addressing human health risks and implementation of adaptation in the public health community is not well understood. AIM: To identify key issues in climate change adaptation implementation for public health in Europe. METHODS: Key informant interviews with decision-makers in international, national and local city governments in 19 European countries. Participants were recruited if a senior decision-maker working in public health, environmental health or climate adaptation. INTERVIEWS ADDRESSED: Barriers and levers for adaptation, policy alignment, networks and evidence needs. RESULTS: Thirty-two interviews were completed between June and October 2021 with 4 international, 5 national and 23 city/local government stakeholders. Respondents reported inadequate resources (funding, training and personnel) for health-adaptation implementation and the marginal role of health in adaptation policy. A clear mandate to act was key for implementation and resource allocation. Limited cross-departmental collaboration and poor understanding of the role of public health in climate policy were barriers to implementation. CONCLUSIONS: Across Europe, progress is varied in implementation of climate adaptation in public health planning. Providing appropriate resources, training, knowledge mobilization and supporting cross-departmental collaboration and multi-level governance will facilitate adaptation to protect human health.
There is a need to consider people’s welfare when for-mulating policies, where subjective well-being is a proxy for welfare. Although it is important to elucidate the mech-anisms underlying the decline in subjective well-being associated with flood experience when making policy, this has not been studied in detail. Therefore, this study sought to clarify the relationship between flood experience and subjective well-being, focusing on anxiety about floods. We conducted an online questionnaire in Tochigi Prefecture, Japan and analyzed the results of 2,630 respondents. Medi-ation analysis revealed that flood experience does not have a direct effect on subjective well-being (p < 0.05) but exerts a negative effect through anxiety about floods. The same was true when only people with recent flood experience were analyzed. This study suggests methods for restoring subjective well-being to its original level after a flood, such as managing anxiety about floods.
As fossil fuel combustion continues to power the global economy, the rate of climate change is accelerating, causing severe respiratory health impacts and large disparities in the degree of human suffering. Hotter and drier climates lead to longer and more severe wildland fire seasons, impairing air quality around the globe. Hotter temperatures lead to higher amounts of ozone and particles, causing the exacerbation of chronic respiratory diseases and premature mortality. Longer pollen seasons and higher pollen concentrations provoke allergic airway diseases. In arid regions, accelerated land degradation and desertification are promoting dust pollution and impairing food production and nutritional content that are essential to respiratory health. Extreme weather events and flooding impede healthcare delivery and can lead to poor indoor air quality due to mold overgrowth. Climate and human activities that harm the environment and ecosystem may also affect the emergence and spread of viral infections, including severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), and associated morbidity and mortality exacerbated by air pollution. Children and elderly individuals are more susceptible to the adverse health effects of climate change. Geographical and socioeconomic circumstances, together with a decreased capacity to adapt, collectively increase vulnerability to the adverse effects of climate change. Successful mitigation of anthropogenic climate change is dependent on the commitment of energy-intensive nations to manage greenhouse gas emissions, as well as societal support and response to aggravating factors. In this review, we focus on the respiratory health impacts of global climate change, with an emphasis on susceptible and vulnerable populations and low- and middle-income countries.
Increasing attention is being given to the effect of climate change on schistosomiasis, but the impact is currently unknown. As the intermediate snail host (Neotricula aperta) of Schistosoma mekongi inhabits the Mekong River, it is thought that environmental factors affecting the area of water will have an impact on the occurrence of schistosomiasis mekongi. The aim of the present study was to assess the impact of precipitation on the prevalence of human schistosomiasis mekongi using epidemiological data and Earth observation satellite data in Khong district, Champasak province, Lao PDR. Structural equation modelling (SEM) using epidemiological data and Earth observation satellite data was conducted to determine the factors associated with the number of schistosomiasis mekongi patients. As a result, SEM identified 3 significant factors independently associated with schistosomiasis mekongi: (1) a negative association with mass drug administration (MDA); (2) negative association with total precipitation per year; and (3) positive association with precipitation during the dry season. Precisely, regardless of MDA, the increase in total yearly precipitation was suggested to decrease the number of schistosomiasis patients, whereas an increase in precipitation in the dry season increased the number of schistosomiasis patients. This is probably because when total precipitation increases, the water level of the Mekong River rises, thus decreasing the density of infected larvae, cercaria, in the water, and the frequency of humans entering the river would also decrease. In contrast, when precipitation in the dry season is higher, the water level of the Mekong River also rises, which expands the snail habitant, and thus water contact between humans and the snails would also increase. The present study results suggest that increasing precipitation would impact the prevalence of schistosomiasis both positively and negatively, and precipitation should also be considered in the policy to eliminate schistosomiasis mekongi in Lao PDR.
The recent expansion of Aedes albopictus across continents in both tropical and temperate regions and the exponential growth of dengue cases over the past 50 years represent a significant risk to human health. Although climate change is not the only factor responsible for the increase and spread of dengue cases worldwide, it might increase the risk of disease transmission at global and regional scale. Here we show that regional and local variations in climate can induce differential impacts on the abundance of Ae. albopictus. We use the instructive example of Réunion Island with its varied climatic and environmental conditions and benefiting from the availability of meteorological, climatic, entomological and epidemiological data. Temperature and precipitation data based on regional climate model simulations (3 km × 3 km) are used as inputs to a mosquito population model for three different climate emission scenarios. Our objective is to study the impact of climate change on the life cycle dynamics of Ae. albopictus in the 2070-2100 time horizon. Our results show the joint influence of temperature and precipitation on Ae. albopictus abundance as a function of elevation and geographical subregion. At low-elevations areas, decreasing precipitation is expected to have a negative impact on environmental carrying capacity and, consequently, on Ae. albopictus abundance. At mid- and high-elevations, decreasing precipitation is expected to be counterbalanced by a significant warming, leading to faster development rates at all life stages, and consequently increasing the abundance of this important dengue vector in 2070-2100.
The UK is legally committed to reduce its greenhouse gas emissions to net zero by 2050. We aimed to understand the potential impact on population health of two pathways for achieving this target through the integrated effects of six actions in four sectors. METHODS: In this multisectoral modelling study we assessed the impact on population health in England and Wales of six policy actions relating to electricity generation, transport, home energy, active travel, and diets relative to a baseline scenario in which climate actions, exposures, and behaviours were held constant at 2020 levels under two scenarios: the UK Climate Change Committee’s Balanced Pathway of technological and behavioural measures; and its Widespread Engagement Pathway, which assumes more substantial changes to consumer behaviours. We quantified the impacts of each policy action on mortality using a life table comprising all exposures, behaviours, and health outcomes in a single model. FINDINGS: Both scenarios are predicted to result in substantial reductions in mortality by 2050. The Widespread Engagement Pathway achieves a slightly greater reduction in outdoor fine particulate matter air pollution of 3·2 μg/m(3) (33%) and, under assumptions of appropriate ventilation, a greater improvement in indoor air pollution (a decrease in indoor-generated fine particulate matter from 9·4 μg/m(3) to 4·6 μg/m(3)) and winter temperatures (increasing from 17·8°C to 18·1°C), as well as appreciably greater changes in levels of active travel (27% increase in metabolic equivalent hours per week of walking and cycling) by 2050. Additionally, the greater reduction in red meat consumption (50% compared with 35% under the Balanced Pathway) by 2050 results in greater consumption of fruits (17-18 g/day), vegetables (22-23 g/day), and legumes (5-7 g/day). Combined actions under the Balanced Pathway result in more than 2 million cumulative life-years gained over 2021-50; the estimated gain under the Widespread Engagement Pathway is greater, corresponding to nearly 2·5 million life-years gained by 2050 and 13·7 million life-years gained by 2100. INTERPRETATION: Reaching net zero greenhouse gas emissions is likely to lead to substantial benefits for public health in England and Wales, with the cumulative net benefits being correspondingly greater with a pathway that entails faster and more ambitious changes, especially in physical activity and diets. FUNDING: National Institute for Health Research and the Wellcome Trust.
The Asian summer monsoon impacts the human lives and agrarian economies throughout Asia. These impacts are driven by monsoon anomalies which are manifested in terms of the seasonal precipitation, surface temperatures and the occurrences of floods, droughts and tropical cyclones. A strong monsoon results in various positive outcomes like increased agricultural produce, economic growth, reduced commodity prices and national inflationary levels as well as increased ground water and restored reservoirs. While predicting the Asian summer monsoon has been prioritized by decision-makers across sectors in Asia, impact forecasting must gain greater significance as it is particularly important to tackle disaster risks. The paradigm shifts from ‘what monsoon will be to what monsoon will do provides valuable insights to better prepare Asian countries for managing impending extreme events. The paper brings out how impact outlook for Asian monsoon can be effectively utilized. It shows how seasonal forecasts overlaid with risk and hazards maps and indicators on exposure and vulnerability can enhance understanding of potential risk scenarios for various sectors, including agriculture, energy, health, water, and disaster management. Noting the limitations of accuracy and information available from seasonal forecasts, the information provided from impact outlook should be understood as preliminary assessments. The paper makes a case for seamless integration of seasonal, sub-seasonal, medium, and short terms forecasts with the data on potential impact. This is aimed at enabling close monitoring and targeted policy actions.
With rising temperature extremes, older workers are becoming increasingly vulnerable to heat-related injuries because of age- and disease-associated decrements in thermoregulatory function. Endothelial monocyte-activating polypeptide-II (EMAP-II) is a proinflammatory cytokine that has not yet been well-characterized during heat stress, and which may mediate the inflammatory response to high levels of physiological strain. We evaluated serum EMAP-II concentrations before and after 180 min of moderate-intensity work (200 W/m(2) ) in temperate (wet-bulb globe temperature [WBGT] 16°C) and hot (WBGT 32°C) environments in heat-unacclimatized, healthy young (n = 13; mean [SD]; 22 [3] years) and older men (n = 12; 59 [4] years), and unacclimatized older men with hypertension (HTN) (n = 10; 60 [4] years) or type 2 diabetes (T2D) (n = 9; 60 [5] years). Core temperature and heart rate were measured continuously. In the hot environment, work tolerance time was lower in older men with HTN and T2D compared to healthy older men (both p < 0.049). While core temperature and heart rate reserve increased significantly (p < 0.001), they did not differ across groups. End-exercise serum EMAP-II concentrations were higher in young men relative to their older counterparts due to higher baseline levels (both p ≤ 0.02). Elevations in serum EMAP-II concentrations were similar between healthy older men and older men with HTN, while serum EMAP-II concentrations did not change in older men with T2D following prolonged work in the heat.Serum EMAP-II concentrations increased following prolonged moderate-intensity work in the heat and this response is influenced by age and the presence of HTN or T2D.
Agriculture is currently one of the leading economic sectors most impacted by climate change. Due to its great field of application and its susceptibility to meteorological variability, the effects of climate change on agriculture have significant social and economic consequences for human well-being. Moreover, the increasing need for land spaces for population growth has produced strong competition between food and urbanization, leading to a loss of the agroecosystem that supports food security. This review aims to understand the main risks generated by climate change in agricultural production and the potential strategies that can be applied to increase agriculture’s resilience. Agricultural risk can be linked to the decrease in the productivity of foods, weed overgrowth at the crops expense, increase in parasites, water availability, soil alteration, negative impact on production costs and consequent change in the adopted cultivars, reduction in the pollination process, intense fires, and alteration of product quality. Thus, climate change can impact the provisioning of ecosystem services, reducing food security in terms of quantity and quality for future generations. Finally, in this review, we report the main adaptation strategies to increase agroecosystem resilience in adverse environments generated by climate change. Mainly, we highlight new technologies, such as new breeding technologies and agrivoltaic and smart agricultural applications, which, combined with agroecosystems, can reduce the agricultural risks following climate change (for example, drought events and low availability of water). We suggest that the combination of natural capital and technologies can be defined as an “innovation-based solution” able to support and increase ecosystem service flow in agroecosystems.
As a consequence of global climate change, acute water deficit conditions, soil salinity, and high temperature have been on the rise in their magnitude and frequency, which have been found to impact plant growth and development negatively. However, recent evidence suggests that many fruit plants that face moderate abiotic stresses can result in beneficial effects on the postharvest storage characters of the fruits. Salinity, drought, and high temperature conditions stimulate the synthesis of abscisic acid (ABA), and secondary metabolites, which are vital for fruit quality. The secondary metabolites like phenolic acids and anthocyanins that accumulate under abiotic stress conditions have antioxidant activity, and therefore, such fruits have health benefits too. It has been noticed that fruits accumulate more sugar and anthocyanins owing to upregulation of phenylpropanoid pathway enzymes. The novel information that has been generated thus far indicates that the growth environment during fruit development influences the quality components of the fruits. But the quality depends on the trade-offs between productivity, plant defense, and the frequency, duration, and intensity of stress. In this review, we capture the current knowledge of the irrigation practices for optimizing fruit production in arid and semiarid regions and enhancement in the quality of fruit with the application of exogenous ABA and identify gaps that exist in our understanding of fruit quality under abiotic stress conditions.
The potential for dengue fever epidemic due to climate change remains uncertain in tropical areas. This study aims to assess the impact of climate change on dengue fever transmission in four South and Southeast Asian settings. We collected weekly data of dengue fever incidence, daily mean temperature and rainfall from 2012 to 2020 in Singapore, Colombo, Selangor, and Chiang Mai. Projections for temperature and rainfall were drawn for three Shared Socioeconomic Pathways (SSP126, SSP245, and SSP585) scenarios. Using a disease transmission model, we projected the dengue fever epidemics until 2090s and determined the changes in annual peak incidence, peak time, epidemic size, and outbreak duration. A total of 684,639 dengue fever cases were reported in the four locations between 2012 and 2020. The projected change in dengue fever transmission would be most significant under the SSP585 scenario. In comparison to the 2030s, the peak incidence would rise by 1.29 times in Singapore, 2.25 times in Colombo, 1.36 times in Selangor, and >10 times in Chiang Mai in the 2090s under SSP585. Additionally, the peak time was projected to be earlier in Singapore, Colombo, and Selangor, but be later in Chiang Mai under the SSP585 scenario. Even in a milder emission scenario of SSP126, the epidemic size was projected to increase by 5.94%, 10.81%, 12.95%, and 69.60% from the 2030s-2090s in Singapore, Colombo, Selangor, and Chiang Mai, respectively. The outbreak durations in the four settings were projected to be prolonged over this century under SSP126 and SSP245, while a slight decrease is expected in 2090s under SSP585. The results indicate that climate change is expected to increase the risk of dengue fever transmission in tropical areas of South and Southeast Asia. Limiting greenhouse gas emissions could be crucial in reducing the transmission of dengue fever in the future.
Temperature, precipitation, and humidity are important factors that can influence the spread, reproduction, and survival of pathogens. Climate change affects these factors, resulting in higher air and water temperatures, increased precipitation, or water scarcity. Climate change may thus have an increasing impact on many infectious diseases. METHODS: The present review considers those foodborne pathogens and toxins in animal and plant foods that are most relevant in Germany, on the basis of a selective literature review: the bacterial pathogens of the genera Salmonella, Campylobacter and Vibrio, parasites of the genera Cryptosporidium and Giardia, and marine biotoxins. RESULTS: As climate change continues to progress, all infections and intoxications discussed here can be expected to increase in Germany. CONCLUSIONS: The expected increase in foodborne infections and intoxications presents a growing public health risk in Germany.
BACKGROUND: UV radiation can cause serious skin and eye diseases, especially cancers. UV-related skin cancer incidences have been increasing for decades. The determining factor for this development is the individual UV exposure. Climate change-induced changes in atmospheric factors can influence individual UV exposure. METHODS: On the basis of a topic-specific literature research, a review paper was prepared and supplemented by as yet unpublished results of the authors’ own studies. The need for scientific research and development is formulated as well as primary prevention recommendations. RESULTS: Climate change alters the factors influencing UV irradiance and annual UV dose in Germany. First evaluations of satellite data for Germany show an increase in mean peak UV irradiance and annual UV dose for the last decade compared to the last three decades. CONCLUSIONS: The climate change-related influences on individual UV exposure and the associated individual disease incidence cannot yet be reliably predicted due to considerable uncertainties. However, the current UV-related burden of disease already requires primary preventive measures to prevent UV-related diseases.
BACKGROUND: The impacts of air pollutants on health range from short-term health impairments to hospital admissions and deaths. Climate change is leading to an increase in air pollution. METHODS: This article addresses, based on selected literature, the relationship between climate change and air pollutants, the health effects of air pollutants and their modification by air temperature, with a focus on Germany. RESULTS: Poor air quality increases the risk of many diseases. Climate change is causing, among other things, more periods of extreme heat with simultaneously increased concentrations of air pollutants. The interactions between air temperature and air pollutants, as well as their combined effects on human health, have not yet been sufficiently studied. Limit, target, and guideline values are of particular importance for health protection. CONCLUSIONS: Measures to reduce air pollutants and greenhouse gases must be more strictly implemented. An essential step towards improving air quality is setting stricter air quality limit values in Europe. Prevention and adaptation measures should be accelerated in Germany, as they contribute to climate-resilient and sustainable healthcare systems.
Endemic and imported vector- and rodent-borne infectious agents can be linked to high morbidity and mortality. Therefore, vector- and rodent-borne human diseases and the effects of climate change are important public health issues. METHODS: For this review, the relevant literature was identified and evaluated according to the thematic aspects and supplemented with an analysis of surveillance data for Germany. RESULTS: Factors such as increasing temperatures, changing precipitation patterns, and human behaviour may influence the epidemiology of vector- and rodent-borne infectious diseases in Germany. CONCLUSIONS: The effects of climatic changes on the spread of vector- and rodent-borne infectious diseases need to be further studied in detail and considered in the context of climate adaptation measures.
Climate change has significantly influenced the spread of waterborne diseases (WBDs), which affect environmental quality and human life. The impact of climate change is greatest in developing countries, especially in the Association of Southeast Asian Nations (ASEAN) countries. Vibrio cholerae, a waterborne pathogen, is most susceptible to and most prevalent during severe climatic changes. The Philippines is regularly exposed to tropical cyclones, such as Bopha in 2012 and Haiyan in 2013, because of its geographical location, while Cyclone Nargis in 2008 caused over 95% of the damage and casualties seen in the preceding two decades in Myanmar. Therefore, implementing policies to adjust to these climate changes and to safeguard their citizens from the effects of WBDs is imperative for ASEAN countries. This study aimed to (1) investigate the effects of climate change on health and to understand the policy requirements to prevent or minimize its negative impact and (2) explore the link between the Sustainable Development Goals (SDGs) and the effects of climate change on WBDs to determine perspectives for global sustainability. The framework of the SDGs should be adapted to ASEAN countries to improve legislation, laws, and regulations on climate-related health issues. Efficient collaboration among scientists, researchers, health professionals, and policymakers will assist in addressing the problems associated with the impact of climate change on WBDs in ASEAN countries.
Climate change, food insecurity, and epidemics affect all population sub-groups. This article reviews the current evidence on the relationships between climate change, food insecurity, and the COVID-19 pandemic in the context of newborn and child health. The authors searched Medline, PsycINFO, Cumulative Index to Nursing and Allied Health Literature (CINAHL), and Scopus databases using a structured approach. Food insecurity, particularly from the lack of food access and affordability, increased amidst the COVID-19 pandemic. Factors such as nationwide lockdowns, increased unemployment and financial instability, and school closures precipitated food insecurity. Children born to immigrant parents, belonging to racial and ethnic minority groupsor low-income families, and those who were Autistic were highly vulnerable. Climate change also contributes to food insecurity, with increased susceptibility among neonates and children compared to adults. There is a need for further research on the relationships between climate-linked exposures and COVID-19 transmission. Multisectoral collaborations and multilevel interventions are necessary to mobilize local and national resources for mitigating and preventing the synergistic effects of the three concurrent crises. The evidence-informed discourse on this topic can help in improved preparedness and response for future outbreaks and epidemics. The policy interventions for newborn and child survival need to factor in climate change, food insecurity, and emerging diseases.
Climate change may affect mental health. We conducted an umbrella review of meta-analyses examining the association between mental health and climate events related to climate change, pollution and green spaces. We searched major bibliographic databases and included meta-analyses with at least five primary studies. Results were summarized narratively. We included 24 meta-analyses on mental health and climate events (n = 13), pollution (n = 11), and green spaces (n = 2) (two meta-analyses provided data on two categories). The quality was suboptimal. According to AMSTAR-2, the overall confidence in the results was high for none of the studies, for three it was moderate, and for the other studies the confidence was low to critically low. The meta-analyses on climate events suggested an increased prevalence of symptoms of post-traumatic stress, depression, and anxiety associated with the exposure to various types of climate events, although the effect sizes differed considerably across study and not all were significant. The meta-analyses on pollution suggested that there may be a small but significant association between PM(2.5), PM(10), NO(2), SO(2), CO and mental health, especially depression and suicide, as well as autism spectrum disorders after exposure during pregnancy, but the resulting effect sizes varied considerably. Serious methodological flaws make it difficult to draw credible conclusions. We found reasonable evidence for an association between climate events and mental health and some evidence for an association between pollution and mental disorders. More high-quality research is needed to verify these associations.
OBJECTIVE: It is known that the inhalation of air pollutants adversely affects human health. These air pollutants originated from natural sources such as desert storms or human activities including traffic, power generating, domestic heating, etc. This study aimed to investigate the impacts of desert dust storms, particulate matter ≤10 μm (PM(10)) and daily maximum temperature (MT) on mortality and emergency department (ED) visits due to stroke in the city of Gaziantep, Southeast Turkey. METHOD: The data on mortality and ED visits due to stroke were retrospectively recruited from January 1, 2009, to March 31, 2014, in Gaziantep City Centre. RESULTS: PM(10) levels did not affect ED visits or mortality due to stroke; however, MT increased both ED visits [adjusted odds ratio (OR) = 1.002, 95% confidence interval (CI) = 1.001-1.003] and mortality (OR = 1.006, 95% CI = 0.997-1.014) due to stroke in women. The presence of desert storms increased ED visits due to stroke in the total population (OR = 1.219, 95% CI = 1.199-1.240), and all subgroups. It was observed that desert dust storms did not have an increasing effect on mortality. CONCLUSION: Our findings suggest that MT and desert dust storms can induce morbidity and mortality due to stroke.
Children in developing countries such as India will experience severe consequences of climate change. Primary school students, in particular, are the most vulnerable to extreme weather conditions, such as heat waves intensifying due to climate change. This will adversely impair their development, well-being, and learning outcomes. However, significant research gaps exist in understanding and mitigating children’s vulnerabilities. There is an urgent need for a deeper understanding of the impact of heat waves on children’s health and well-being in India. Further, the discussion on the state of heat safety in Indian primary schools is limited. This study addresses these gaps by surveying 335 primary school teachers in seven Indian cities. The data gathered from the field survey offers a better understanding of classroom experiences and challenges encountered by children and teachers during heat waves. It underscores several aspects of students’ vulnerability to heat exposure and its adverse impact on their health, such as absence from school, physical symptoms of heat distress, etc. Furthermore, it highlights the pressing need for classroom heat risk management in light of climate change and makes several policy prescriptions in primary schools.
There is an important gap in regional information on climate change and health, limiting the development of science-based climate policies in South American countries. This study aims to identify the main gaps in the existing scientific literature on the impacts, exposure, and vulnerabilities of climate change on population health. A scoping review was performed guided by four sub-questions focused on the impacts of climate change on physical and mental health, exposure and vulnerability factors of population to climate hazards. The main findings showed that physical impacts mainly included infectious diseases, while mental health impacts included trauma, depression, and anxiety. Evidence on population exposure to climate hazards is limited, and social determinants of health and individual factors were identified as vulnerability factors. Overall, evidence on the intersection between climate change and health is limited in South America and has been generated in silos, with limited transdisciplinary research. More formal and systematic information should be generated to inform public policy. FUNDING: None.
Snakebite is one of the largest risks from wildlife, however little is known about venomous snake distribution, spatial variation in snakebite risk, potential changes in snakebite risk pattern due to climate change, and vulnerable human population. As a consequence, management and prevention of snakebite is hampered by this lack of information. Here we used habitat suitability modeling for 10 medically important venomous snakes to identify high snakebite risk area under climate change in Iran. We identified areas with high snakebite risk in Iran and showed that snakebite risk will increase in some parts of the country. Our results also revealed that mountainous areas (Zagros, Alborz, Kopet-Dagh mountains) will experience highest changes in species composition. We underline that in order to improve snakebite management, areas which were identified with high snakebite risk in Iran need to be prioritized for the distribution of antivenom medication and awareness rising programs among vulnerable human population.
Spatial analogs have previously been used to communicate climate projections by comparing the future climate of a location with an analogous recent climate at a different location which is typically hotter. In this study, spatial climate analogs were computed using observational data to identify and quantify past changes. A sigma dissimilarity metric was computed to compare the recent climates of nine major Australian cities and early 20th century climate across Australia. Evidence is found for climate shifts, particularly in Darwin where temperature variability is lower than in extratropical cities. Analogs designed to capture extremes, including a human health-relevant climate analog, were constructed and these also highlight significant climate shifts. The analogs may also be used to examine extreme events in the context of a reference city climate and identify unusual events. This work demonstrates the utility of climate analogs for monitoring past climate changes and extreme events as well as examining and communicating future change. Care should be taken in interpretation of the movement of analogous climates and the design of analyses, but climate analogs have many potential applications beyond previous uses. Tailored analogs could be studied to communicate climate changes relevant to specific stakeholders.
Temperature is a well-known effector of several transmission factors of mosquito-borne viruses, including within mosquito dynamics. These dynamics are often characterized by vector competence and the extrinsic incubation period (EIP). Vector competence is the intrinsic ability of a mosquito population to become infected with and transmit a virus, while EIP is the time it takes for the virus to reach the salivary glands and be expectorated following an infectious bloodmeal. Temperatures outside the optimal range act on life traits, decreasing transmission potential, while increasing temperature within the optimal range correlates to increasing vector competence and a decreased EIP. These relatively well-studied effects of other Aedes borne viruses (dengue and Zika) are used to make predictions about transmission efficiency, including the challenges presented by urban heat islands and climate change. However, the knowledge of temperature and chikungunya (CHIKV) dynamics within its two primary vectors-Ae. aegypti and Ae. albopictus-remains less characterized, even though CHIKV remains a virus of public-health importance. Here, we review the literature and summarize the state of the literature on CHIKV and temperature dependence of vector competence and EIP and use these data to demonstrate how the remaining knowledge gap might confound the ability to adequately predict and, thus, prepare for future outbreaks.
The local climate zone (LCZ) has been an important land surface classification used to differentiate urban climate between localities. The general knowledge maps of LCZ studies are needed when LCZ-related research has attracted great attention. This study integrated bibliometrics and critical review to understand the status quo and suggest future research directions. Bibliometrics provided a statistical technique to explore large volumes of article data from the Web of Science, ScienceDirect, and Scopus databases, based on the Co-Occurrence 13.4 (COOC) software. The bibliometric results indicated a rapid increase in LCZ publications and identified the high-frequency keywords which can be clustered into two groups, including a human thermal comfort-related group and the other urban climatology-related one. From 2011 to 2020, the effects of land use and urban morphology on urban climate and heat island effects predominated the LCZ-related research. Since 2021, the research focuses had shifted to the fields of thermal environment and heatwave, due to the growing demand for human thermal comfort and heat risk reduction. Moreover, this study identified ‘Land Surface Temperature’ and ‘Heatwave’ as two focuses of LCZ-related research during the last decade. Their critical reviews demonstrated the need for additional in-depth LCZ-heatwave studies that consider the risk of human exposure. This study also recommended incorporating hydrological concerns and social issues into the LCZ plan for a more integrated LCZ research outlook. Overall, this study provides not only a comprehensive understanding of LCZ knowledge networks, but also critical details on research focuses and potential research prospects.
The potential critical windows for extreme ambient temperature, air pollution exposure and small for gestational age (SGA) are still unclear, and no study has explored their joint effects on SGA. In a national multi-center prospective cohort, we included 179,761 pairs of mother-infant from 16 counties of 8 provinces in China during 2014-2018. Daily averaged temperature and PM(2.5) concentration were matched to the maternal residential address to estimate personal exposure. Extreme temperature exposures were categorized by a series of percentile in each meteorological and geographic division for the entire pregnancy, each trimester and gestational week (GA-week). Generalized linear mixed models (GLMMs) and distributed lag nonlinear models (DLNMs) were used to estimate the whole pregnancy-, trimester-specific, and weekly-specific associations of extreme temperature and PM(2.5) exposures with SGA. Combined effects were evaluated with the relative excess risk due to interaction (RERI) and proportion attributable to interaction (AP). We observed that by referring to temperature at the 41st – 50th percentile, heat (>90th percentile) exposure during 13th – 29th GA-weeks was associated with SGA; odds ratio (OR) and 95 % confidence intervals (CI) was 1.16 (1.06, 1.28). For cold (<=10th percentile), inverse associations were observed during the 1st - 8th GA-weeks. PM(2.5) exposure during the 2nd - 5th and 19th - 27th GA-weeks was associated with SGA, with the strongest association in the 2nd GA-week (OR = 1.0017, 95 %CI: 1.0001, 1.0034, for a 10 μg/m(3) increase). No interactive effects between ambient temperature and PM(2.5) on SGA were observed. Our findings suggest the weekly susceptibility windows for heat and PM(2.5) exposure were primarily the gestational weeks within the 2nd trimester, therefore, corresponding protective measures should be conveyed to pregnant women during routine prenatal visits to reduce exposures.
Comprehensive and objective assessment methods need to be developed to create inclusive, safe, resilient and sustainable cities. Monitoring the evolution of sustainability and well-being in the cities is important for researchers implementing the UN 2030 Agenda. This research explores and analyzes the climate change hazards, adaptation- and mitigation actions and their implementation in 776 cities located in 84 different countries. The climate action co-benefits are supporting the achievement of sustainable development goals, which are comprehensively elaborated in this methodological development. The analyzes are carried out based on the continuously updated Carbon Disclosure Project database. An open source algorithm has been developed that represents the CDP database as a bit table and use frequent itemset mining for the identification of global patterns of climate hazards, mitigation- and adaptation actions and their co-benefits, therefore, this paper offers an exploratory analysis tool that is suitable for monitoring climate actions. The most frequently identified mitigation actions in cities were energy planting (1444 actions), and on-site renewable production (644), while the most common actions for adaptation were tree planting (283) and flood mapping (267). Regarding city size, 41% of large metropolitan areas plan to develop mass transit actions, while the separate collection of recyclables is typical in 85% of towns. 56.2% of CDP database actions support access to sustainable cities and communities goal (SDG11), 54.2% access to climate action goal (SDG13), and the emergence of affordable and clean energy (SDG7) and gender equality goal (SDG5) are below 5%.
INTRODUCTION: Climate change poses enormous threats to humanity and much of life on earth. Many of the behavioral patterns that drive climate change also contribute to the epidemics of obesity, diabetes, and cardiovascular disease. OBJECTIVES: The primary objective of this study was to compile and categorize the literature on interventions aimed at modifying individual behaviors to promote both personal health and environmental sustainability. Secondary objectives were to help define the emerging field of behavioral eco-wellness and to discuss future directions, including the need for assessment tools and analytic strategies. METHODS: A scoping review was conducted to locate, categorize, and interpret current scientific studies of interventions aimed at changing individual behaviors to promote both personal health and environmental sustainability. RESULTS: Other than a pilot study that this team previously conducted, nothing was found that strictly fit the inclusion criteria. However, we did find 16 relevant studies that fit neatly within 4 broad topical areas: active transportation, dietary intake, indoor air quality, and green space immersion. DISCUSSION: While this systematic scoping review found little meeting original criteria, we did find that 4 separate fields of study are converging on a scientific area that we are calling behavioral eco-wellness, defined as the simultaneous pursuit of both personal health and environmental sustainability. The emerging field could provide a conceptual framework and methodological toolkit for those seeking to enhance sustainability while supporting health behaviors, including dietary intake. This, in turn, could help to inform and motivate the urgent action needed to confront both climate change and the epidemics of obesity, diabetes, and cardiovascular disease.
The production and quality of human life have been impacted by the extreme heat wave events caused by global warming and urbanization. This study analyzed the prevention of air pollution and the strategies of emission reduction based on decision trees (DT), random forests (RF), and extreme random trees (ERT). Additionally, we quantitatively investigated the contribution rate of atmospheric particulate pollutants and greenhouse gases to urban heat wave occurrences by combining numerical models and big data mining technology. This study focuses on changes in the urban environment and climate. The main findings of this study are as follows. The average concentrations of PM(2.5) in the northeast of Beijing-Tianjin-Hebei in 2020 were 7.4%, 0.9%, and 9.6% lower than those in the corresponding years of 2017, 2018, and 2019, respectively. The carbon emissions in the Beijing-Tianjin-Hebei region showed an increasing trend during the previous 4 years, which was consistent with the spatial distribution of PM(2.5). In 2020, there were fewer urban heat waves, which was attributable to a reduction of 75.7% in emissions and an improvement of 24.3% in the prevention and management of air pollution. These results suggest that the government and environmental protection agencies need to pay attention to changes in the urban environment and climate to diminish the negative effects of heatwaves on the health and economic growth of the urban population.
Ambient air pollution, and especially particulate matter (PM) air pollution <2.5 μm in diameter (PM(2.5)), has clearly emerged as an important yet often overlooked risk factor for atherosclerosis and ischemic heart disease (IHD). In this review, we examine the available evidence demonstrating how acute and chronic PM(2.5) exposure clinically translates into a heightened coronary atherosclerotic burden and an increased risk of acute ischemic coronary events. Moreover, we provide insights into the pathophysiologic mechanisms underlying PM(2.5)-mediated atherosclerosis, focusing on the specific biological mechanism through which PM(2.5) exerts its detrimental effects. Further, we discuss about the possible mechanisms that explain the recent findings reporting a strong association between severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, increased PM(2.5) exposure, and morbidity and mortality from IHD. We also address the possible mitigation strategies that should be implemented to reduce the impact of PM(2.5) on cardiovascular morbidity and mortality, and underscoring the strong need of clinical trials demonstrating the efficacy of specific interventions (including both PM(2.5) reduction and/or specific drugs) in reducing the incidence of IHD. Finally, we introduce the emerging concept of the exposome, highlighting the close relationship between PM(2.5) and other environmental exposures (i.e.: traffic noise and climate change) in terms of common underlying pathophysiologic mechanisms and possible mitigation strategies.
A growing body of literature recognises the importance of nature-based solutions in providing resilience to the effects of climate change by mitigating urban heat islands. However, a knowledge gap exists regarding the contribution of blue spaces to the urban environment. Recent evidence suggests that blue spaces within urban canyons can promote pollutant removal via the vertical transport of air under certain conditions, but this is inconclusive. Using a numerical solver that accounts for evaporation effects, we investigate the influence of blue space size and shape on the in-canyon flow structure, temperature and water vapour distribution. Simulations were performed for water bodies of varying size and shape at different temperatures compared to the surrounding air. Results suggest that inadequately sized warmer water bodies are unable to promote sufficient vertical transport for pollutant removal, leading to overturning and increased temperature and humidity levels at the pedestrian level, thereby worsening environmental conditions and increasing the risk of heat-related illness and mortality. Hence, larger water bodies are better suited to nocturnal transport of pollutants and accumulated warm air away from the urban surface, while smaller water bodies are better suited to providing localised evaporative cooling. Lastly, irregular water bodies may have a greater cooling effect across a larger area.
The huge impact of climate change on humankind is multidimensional, and includes direct and indirect challenges to the physical, psychological and socio-cultural wellbeing. Women may be more vulnerable to climate-sensitive diseases, but little attention has been paid to specific needs and challenges associated with the menopause transition. The increase in average and extreme temperatures may modulate the manifestation of vasomotor symptoms; in particular, environmental temperature and seasonality may affect hot flushes and night sweats. However, more research is needed to define the impact of climate-related factors among the determinants influencing the individual experience of menopause. In addition, increased exposure to environmental pollution and toxins may also have a role in the modulation of ovarian aging mechanisms, possibly influencing timing of menopause. Finally, both air pollution and menopause transition are associated with unfavorable modifications of cardio-metabolic, bone and cognitive health, and account should be taken of these in the evaluation of the individual woman’s health vulnerabilities. Overall, the evidence reported in this narrative review supports the need for specific strategies aimed at reducing the burden of climate and environmental change on menopausal women. Healthcare providers should promote behavioral measures that reduce anthropogenic climate change and at the same time have a beneficial role on several domains of physical and psychological wellbeing. From this perspective, menopause represents a golden moment to implement virtuous behaviors that will benefit at the same time women’s longevity and the planet.
Observed climate changes in Pacific island countries (PICs) are causing detrimental effects on the health of communities. Increased frequency and intensity of cyclones, more extremely hot days, and changes in rainfall patterns can change the geographic distribution of vector-borne diseases, decrease food and water security and safety, and strain health service capacity. These impacts are projected to worsen with additional climate change in the absence of strong and effective mitigation and adaptation measures. Health vulnerability and adaptation assessments conducted in twelve PICs in 2014 highlighted significant knowledge gaps on the national health risks of climate change and on adaptation implementation and policy translation. We synthesize recent research to identify approaches to support evidence-based policymaking to increase resilience of health systems in the Pacific. Broad areas where further and substantial investment and support are needed include: (i) health workforce capacity development; (ii) enhanced surveillance and monitoring systems, and (iii) research to enhance understanding of risks and effective interventions and their subsequent translation into practice and policy. Finally, health facilities need urgent upgrades; many are old and located in coastal areas, and are heavy users of coal-fired electricity.
Policy Points After decades of scientific progress and growth in academic literature, there is a recognition that climate change poses a substantial threat to the health and well-being of individuals and communities both in the United States and globally. Solutions to mitigate and adapt to climate change can have important health cobenefits. A vital component of these policy solutions is that they must also take into consideration historic issues of environmental justice and racism, and implementation of these policies must have a strong equity lens.
Composite dust samples were collected on a monthly basis over a full year from Doha, Qatar. Inductively Coupled Plasma Mass Spectrometry (ICPMS) was used for the determination of total concentrations of Na, K, Mg, Ca, Li, Be, B, V, Cr, Fe, Mn, Co, Ni, Cu, Zn, As, Se, Sr, Cd, Ba, Al, Pb, Ag, TI, U, Sb, Si, Sn, Mo and Bi. A combined approach, merging conventional sampling and analysis with subsequent numerical calculations of the risk of exposure to toxic elements, was employed. For assessment of the health risks associated with the regular exposure to dust, the exposure routes related to the dermal contact and inhalation were considered. Our results indicate that the total non-carcinogenic health risk through exposure to different elements (Hazardous Quotients, HQ’s) that are contained in the dust are quite low (well below unity) for both dermal contact and inhalation routes in all months of the year, i.e., there is no risk to the human health. There is no clear explanation for the seasonal variation of metals in the dust in the Qatar area. Several elements in the dust collected in the sum-mertime have higher concentration than in the wintertime. This could be due to the weather conditions and natural depositions. However, the content of several elements (Pb, Zn, Cu, Sn and Li) showed elevation in the wintertime. For dermal exposure, the dominant contribution to the Hazardous Index (HI) comes from thallium (Tl) while for inhalation exposure several comparable contributions are related to Mn, Sb, Si, Ni, and Co. Long -term monitoring strategies are still needed for detailed research on dust pollutants and potential risks.
The prevalence of pathogens in the environment has caused severe human diseases. Anthropogenic changes profoundly affect the distribution, abundance, and dispersal of human pathogens in the environment. However, until now, the effects of human activity and global climate change on the dispersal of human pathogens in soil ecosystems have not been systematically analyzed. Abundant and diverse human pathogens have been identified in soil ecosystems. Two emerging hotspots of human pathogens in soil ecosystems are the gut of invasive animals and the plastisphere. Anthropogenic activities are increasing the abundance of human pathogens in soil, and global climate changes will affect the distribution and dispersal of these pathogens. Our current understanding is that it is important to quantify and predict the effects of anthropogenic changes on human pathogens dispersal for the protection of human health in the soil ecosystem, and environmental DNA-based technologies for human pathogens surveillance has shown great promise. More research is needed to explore the global distribution of human pathogens in soil ecosystems and their health risks in the Anthropocene.
Ambient temperatures exceeding 40 °C are projected to become common in many temperate climatic zones due to global warming. Therefore, understanding the health effects of continuous exposure to high ambient temperatures on populations living in hot climatic regions can help identify the limits of human tolerance. OBJECTIVE: We studied the relationship between ambient temperature and non-accidental mortality in the hot desert city of Mecca, Saudi Arabia, between 2006 and 2015. METHODS: We used a distributed lag nonlinear model to estimate the mortality-temperature association over 25 days of lag. We determined the minimum mortality temperature (MMT) and the deaths that are attributable to heat and cold. RESULTS: We analyzed 37,178 non-accidental deaths reported in the ten-year study period among Mecca residents. The median average daily temperature was 32 °C (19-42 °C) during the same study period. We observed a U-shaped relationship between daily temperature and mortality with an MMT of 31.8 °C. The total temperature-attributable mortality of Mecca residents was 6.9% (-3.2; 14.8) without reaching statistical significance. However, extreme heat, higher than 38 °C, was significantly associated with increased risk of mortality. The lag structure effect of the temperature showed an immediate impact, followed by a decline in mortality over many days of heat. No effect of cold on mortality was observed. IMPACT STATEMENT: High ambient temperatures are projected to become future norms in temperate climates. Studying populations familiar with desert climates for generations with access to air-conditioning would inform on the mitigation measures to protect other populations from heat and on the limits of human tolerance to extreme temperatures. We studied the relationship between ambient temperature and all-cause mortality in the hot desert city of Mecca. We found that Mecca population is adapted to high temperatures, although there was a limit to tolerance to extreme heat. This implies that mitigation measures should be directed to accelerate individual adaptation to heat and societal reorganization.
North Africa is home to more than 200 million people living across five developing economies (Egypt, Libya, Tunisia, Algeria, and Morocco) and two Spanish exclaves (Ceuta and Melilla), many of whom are impacted by ticks and tick-borne zoonoses. Populations in Europe are also increasingly vulnerable to North African ticks and tick-borne zoonoses due to a combination of climate change and the movement of ticks across the Mediterranean on migratory birds, human travellers, and trafficked wildlife. The human-biting ticks and tick-borne zoonoses in North Africa are reviewed along with their distribution in the region. We also assess present and future challenges associated with ticks and tick-borne zoonoses in North African and highlight opportunities for collaboration and coordination between governments in Europe and North Africa to address public health challenges posed by North African ticks and tick-borne zoonoses.
Human health is increasingly being recognized as an important aspect of marine spatial planning (MSP), yet research and practice continue to neglect this component. Specifically, the consequences of marine development and climate change on human health are largely absent from ocean governance processes, and need to be addressed. This study argues that human health and spatial planning frameworks may be employed in combi-nation to address this issue. Guided by the concept of salutogenesis (health promotion), this study utilized online participatory mapping in conjunction with a questionnaire to explore study participants’ perceptions of the health benefits of, and barriers to, participating in coastal activities within Halifax Regional Municipality (HRM), Nova Scotia, Canada. Results from this study indicated that participating in coastal activities in HRM is perceived to be very important for human health. In support of MSP implementation, criteria for salutogenically significant areas (SSAs) were developed by drawing parallels to the CBD criteria for biologically and ecologically significant areas, which included uniqueness, diversity, productivity, importance for underserved populations, and vulnerability. Recommendations are made for gathering SSA criteria information while enabling marine man-agers to make more informed decisions about how to best consider human health objectives within MSP. Further application of this participatory mapping approach to gather human health data, particularly to collaborate or partner with diverse and underserved population groups, is recommended.
Protozoan parasites of the genus Plasmodium cause malaria, a mosquito borne disease responsible for substantial health and economic costs throughout the developing world. During transition from human host to insect vector, the parasites undergo profound changes in morphology, host cell tropism and gene expression. Unique among eukaryotes, Plasmodium differentiation through each stage of development includes differential expression of singular, stage-specific ribosomal RNAs, permitting real-time adaptability to major environmental changes. In the mosquito vector, these Plasmodium parasites respond to changes in temperature by modulating transcriptional activities, allowing real-time responses to environmental cues. Here, we identify a novel form of long noncoding RNA: a temperature-regulated untranslated lncRNA (tru-lncRNA) that influences the Plasmodium parasite’s ability to respond to changes in its local environment. Expression of this tru-lncRNA is specifically induced by shifts in temperature from 37 °C to ambient temperature that parallels the transition from mammalian host to insect vector. Interestingly, deletion of tru-lncRNA from the genome may prevent processing of S-type rRNA thereby affecting the protein synthesis machinery. Malaria prevention and mitigation strategies aimed at disrupting the Plasmodium life cycle will benefit from the characterization of ancillary biomolecules (including tru-lncRNAs) that are constitutively sensitive to micro- environmental parameters.
Recently, there has been a growing concern regarding the severity of flood inundation, and the role of disaster response has become increasingly complex. As the number of problems to be addressed has been on the rise, the limits of individual disaster response capabilities have also been suggested. Therefore, disaster-response activities, whose contents change with time, should be regarded as a series of time-connected processes, and the issues of prolonged disaster responses should be reexamined. This study focused on the relationship between the evacuation of residents at the time of flooding and the subsequent rescue activities. Based on a flooding scenario in a real urban area, simulations were used to examine how different evacuation choices of residents may affect the subsequent rescue activities in the flooded area. The results show that the behavioral models desired in conventional studies of evacuation behavior do not necessarily lead to equally good outcomes throughout the entire disaster response. As a contribution of this study, a dilemma structure was found in which choosing risky evacuation behavior in the short term can ultimately improve the rescue situation. In addition, when residents themselves select their own evacuation behavior, it was found that the evacuation awareness of each resident affects the safety of other residents in the community and that the personal safety of a person is affected by the evacuation awareness of all community residents. It was suggested that not only the response of the government but also the attitude change of individual residents is important to solve this social dilemma.
The climate crisis not only has significant impacts on biodiversity and the physical health of humans, but its ramifications are also affecting people’s mental health. Eco-anxiety, or the emotions that emerge with the awareness of climate change and the apprehension of its detrimental effects, has been investigated in adults and adolescents, but much less attention has been given to the impacts on children’s mental health and well-being. Initial evidence confirms that youth are significantly concerned about climate change, but few studies have investigated the resulting emotional responses of children and the role of their parents in tempering these, especially using qualitative methodologies. The present study used a descriptive qualitative design with a convenience sample of parents and child dyads, assessed separately. Children’s (n = 15, ages 8-12 years) experiences were explored using semi-structured interviews and their parents’ (n = 12) perceptions were captured using a survey with closed and open-ended questions. A reflexive thematic analysis was used to analyze the interview data, and content analysis was used to investigate parent-child experiences. Three themes emerged from the thematic analysis: 1. children’s understanding of climate change, 2. their emotional reaction to climate change, and 3. their coping mechanisms to deal with these emotions. The comparative content analysis revealed that parents who were aware that their children had concerns about climate change, had children who used more adaptive coping mechanisms. The results of this qualitative study contribute to a better understanding of children’s emotional experience of the awareness of climate change in Canada and how they cope with these emotions. Furthermore, the results provide insight into the role parents might play in helping their children cope with their feelings.
Climate change (CC) has a significant impact on human health, resulting in both physical and mental illnesses. Eco-anxiety-the excessive and pervasive fear about the consequences of CC-is the most studied psychoterratic state. This study presents the validation of Italian versions of Hogg’s Eco-Anxiety Scale (HEAS) and the Eco-Paralysis Scale. It also investigates the effects of worry on eco-anxiety and eco-paralysis. The study was conducted on 150 Italian individuals who responded to the two scales and to other questionnaires to make comparisons with the two above. Internal consistency and factorial structure were assessed through Cronbach’s alpha, Confirmatory Factor Analysis and Exploratory Factor Analysis. A median regression was used to assess the association between the EPS and the HEAS and Climate Change Worry Scale (CCWS) and their interaction. HEAS and EPS showed good psychometric properties: HEAS resulted in good internal consistency (Cronbach’s alpha = 0.986), and the Eco-Paralysis scale had good test-retest reliability (r = 0.988). In both cases, a one-factor structure was suggested to be retained. The interaction terms between HEAS and CCWS (beta = -0.02; 95% CI: -0.03, -0.01; p < 0.001) and between HEAS and education (beta = -0.05; 95% CI: -0.08, -0.02; p < 0.001) were significant. Therefore, the feeling of worry seems to act as a moderator between climate change anxiety and eco-paralysis since it may appear to influence individuals and their ability to transform anxiety into action. Education plays a role in reducing the risk of Eco-Paralysis in subjects affected by climate change anxiety. Thus, data suggest that working on reinforcing a more cognitive concern might result in more problem-solving-focused strategies to face climate change anxiety and eco-paralysis.
The epithelial barrier represents the point of contact between the host and the external environment. It is the first line of defense against external insults in the skin and in the gastrointestinal and upper and lower respiratory tracts. The steep increase in chronic disorders in recent decades, including allergies and autoimmune disorders, has prompted studies to investigate the immune mechanisms of their underlying pathogeneses, all of which point to a thought-provoking shared finding: disrupted epithelial barriers. Climate change with global warming has increased the frequency of unpredictable extreme weather events, such as wildfires, droughts, floods, and aberrant and longer pollination seasons, among many others. These increasingly frequent natural disasters can synergistically damage the epithelial barrier integrity in the presence of environmental pollution. A disrupted epithelial barrier induces proinflammatory activation of epithelial cells and alarmin production, namely, epithelitis. The “opened” epithelial barrier facilitates the entry of the external exposome into and underneath the epithelium, triggering an expulsion response driven by inflammatory cells in the area and chronic inflammation. These changes are associated with microbial dysbiosis with colonizing opportunistic pathogens and decreased commensals. These cellular and molecular events are key mechanisms in the pathogenesis of numerous chronic inflammatory disorders. This review summarizes the impact of global warming on epithelial barrier functions in the context of allergic diseases. Further studies in the impact of climate change on the dysfunction of the epithelial barriers are warranted to improve our understanding of epithelial barrier-related diseases and raise awareness of the environmental insults that pose a threat to our health.
Four decades of research on the health effects of ‘connection to nature’ identifies many wellbeing advantages for young people. Yet this literature has developed largely without reference to biophysical evidence about mass biodiversity loss, the degradation of marine environments and climate change. As these interlocking planetary crises progress, children will be more likely to witness the marine environments they learn about degrade or disappear as they grow up. Improving ocean literacy is important to protect marine environments into the future. However little is known about how learning about ocean degradation affects young people’s emotional wellbeing. We undertook qualitative research to investigate how ocean literacy educators in Aotearoa New Zealand view the content they deliver in relation to the emotional wellbeing of young people. Semi-structured interviews were conducted with 21 key informants from non-government organisations (NGOs), Ministry of Education funded programmes, university-community partnerships, youth-led initiatives and local and national museums and aquariums. Transcripts were analysed using the six steps of Braun and Clarke’s (2022) reflexive thematic analysis. Ocean literacy education was described as positively affecting young people’s emotional wellbeing through interactive experiences in coastal environments. These provided opportunities for experiencing wonder, curiosity and a shared sense of connection and belonging. Educators reported witnessing distress and overwhelm in young people when some information was delivered. This resulted in educators ‘not focusing on the negative’ and moving straight to solutions young people could take part in. Our findings provide opportunities for re-imagining ocean literacy education as a space for promoting mental wellbeing, especially when young people have the opportunity to be part of collective experiences that promote joy and wonder. Intergenerational solutions where young people can be supported to take action with adults who work in solidarity with them are also recommended. Further research into how educators can be resourced to acknowledge and facilitate support around young people’s negative emotional responses (such as grief, overwhelm and anxiety) is required.
IntroductionTrauma secondary to extreme weather events may heavily impact the normal activity of orthopaedic surgery departments, especially in places not prepared to deal with them. The Filomena snowstorm, which happened in January 2021, has been one of the greatest snowstorms ever in Spain. During it, the constant influx of trauma patients made the Orthopaedic Emergencies Department (OED) to collapse. The primary objective of this study was to describe the orthopaedic injuries and changes in fracture’s epidemiology observed during this exceptional period. Secondary objectives were to analyse the collected variables in order to minimize the future impact of these unexpected extreme weather events.Materials and methodsRetrospective cohort study between patients that came to the OED during the snowstorm (Filomena group) and those who came on the same period of the previous year (Control group). The following data were collected: age, sex, injury location, injury mechanism, diagnosis, AO/OTA fracture classification, treatment type (conservative vs surgical) and delay to surgical treatment.ResultsA total of 1237 patients were included in total, 655 patients from the Filomena group and 582 from the Control group. One in two patients in the Filomena group sustained a fracture (50.7% vs 23.2%). The most frequent diagnosis on the Filomena group was distal radius fracture (16.2%), five times more frequent than in the Control group (3.4%). A significant increment was also observed in the incidence of ankle (21.7%) and proximal humerus (33%) fractures. In Filomena, surgically treated fractures increased by 168%, being more severe, as C-type fractures were more prevalent (23% vs 13%). Mean delay to surgery was 6.78 days during the snowstorm.ConclusionUnexpected snowstorms entail an exponential rise in orthopaedic care demand and OED pressures. A significant increment in orthopaedic trauma surgery, up to 168% more, particularly distal radius, proximal humerus and ankle fractures it is to be expected, which will imply elective surgery cancellation, damaging patients and increasing costs.
Climate change is adversely affecting human health. Rapid and wide-scale adaptation is urgently needed given the negative impact climate change has across the socio-environmental determinants of health. The mobilisation of climate finance is critical to accelerate adaptation towards a climate resilient health sector. However, a comprehensive understanding of how much bilateral and multilateral climate adaptation financing has been channelled to the health sector is currently missing. Here, we provide a baseline estimate of a decade’s worth of international climate adaptation finance for the health sector. We systematically searched international financial reporting databases to analyse 1) the volumes, and geographic targeting, of adaptation finance for the health sector globally between 2009-2019 and 2) the focus of health adaptation projects based on a content analysis of publicly available project documentation. We found that health was largely a co-benefit, not the principal objective, within the projects. We estimate that USD 1,431 million (4.9%) of total multilateral and bilateral adaptation has been committed to health activities across the decade. However, this is likely an overestimate of the true figure. Most health adaptation projects were in Sub-Saharan Africa, with average project funding comparable to East Asia and the Pacific and the MENA region. Fragile and conflict affected countries received 25.7% of total health adaptation financing. The paucity of health indicators as part of project monitoring and evaluation criteria and the lack of emphasis on local adaptation were particularly significant. This study contributes to the wider evidence base on global health adaptation and climate financing by quantifying adaptation funds directed towards the health sector and revealing specific gaps in financing health adaptation. We anticipate these results will support researchers in developing actionable research on health and climate finance and decision-makers in mobilizing funds to low-resource settings with high health sector adaptation needs.
Background: Nowadays, pulmonary tuberculosis (TB) is still a major global cause of death. Indonesia is a country with a high burden of the disease and is ranked second as a contributor to tuberculosis in the world after India, China, the Philippines, and Pakistan [1] along with the phenomenon of deforestation [2] and global warming [3]. Forest restoration and reforestation are considered cost-effective nature-based solutions for climate change adaptation and mitigation to remove carbon dioxide from the atmosphere, provide habitat for species and balance temperatures.Methods: There is no research data on the contribution of the economic value of reforestation to reduce the incidence rate of infectious diseases especially for TB, which is very important for mitigating against the global warming. This research was conducted to determine the economic value of ecosystem services as compensation for the reforestation program. This research was carried out in Lampung Province from April to October 2021, using Landsat imagery series 2009, 2012, 2015, 2018, and 2019 to detect forest cover.Results: The study’s findings show that every 2oC increase in temperature increases the incidence of pulmonary tuberculosis by 1.5 per 10,000 population, or 3,770 cases cover class that has a significant effect on the incidence of pulmonary TB is temperature, state forests, community forests, bare land, and rice fields.Conclusions: The valuation of forest environmental services in Lampung Province with human capital through pulmonary tuberculosis medical cost approach techniques for forest mitigation costs is IDR 20.113.458.000 /year.
Southeast Asia (SEA) is experiencing rapid warming, leading to more extreme heatwaves. Sustained compound heatwaves, with high temperatures during day and at night, pose profound threats in highly vulnerable regions, resulting in great stress on society. We estimated the changes in the compound heatwave characteristics and population exposure over SEA at the end of the 21st century based on the model outputs from the Coupled Model Intercomparison Project Phase 6. Results show that the projected compound heatwaves have significant intensified over SEA linked to increasing greenhouse gas emissions. Contemporary younger generations will face more potential risks than their parents’ generation. A child born in the 2010s will experience 1,000 discrete heatwaves in their lifetime, a threefold increase compared with the 1980s. Climate change and population growth combine to drive increased population exposure. The climate effect accounts for 125% in the 0-24-year-old cohort, whereas the interaction effect accounts for 85% in the 75+ age group. The relative importance of effects evolves dynamically across age groups, gradually shifting from a predominance of climate effects to a synergy of the climate and population effects. Significant regional inequalities exist in the increased population exposure over SEA. The largest increase occurs in Indonesia, where the aggregate exposure ranges from 45 billion person-days under the SSP1-2.6 scenario to 81 and 108 billion person-days, respectively, in the higher SSP2-4.5 and SSP5-8.5 scenarios. The study emphasizes the need for the SEA countries to focus on heat-stress adaptation strategies, while also working toward fulfilling emission reduction commitments.
Research on human extreme cold climate adaptations has benefitted from a recent resurgence since Ted Steegmann laid out his Human Cold Adaptation Agenda in 2007. Human biologists have drastically expanded our knowledge in this area during the last 15 years, but we still have a great deal more work to do to fulfill the cold climate adaptation agenda. Here, I follow Steegmann’s example by providing a review of cold climate adaptations and setting forth a new, expanded agenda. I review the foundational work on cold climate adaptations including classic Bergmann, Allen, and Thomson rules as well as early work assessing metabolic differences among Indigenous cold climate populations. From there, I discuss some of the groundbreaking work currently taking place on cold climate adaptations such as brown adipose tissue (a heat generating organ), physical activity levels, metabolic rates, and behavioral/cultural mechanisms. Finally, I present a path forward for future research with a focus on some of the basic extreme cold adaptations as well as how human biologists should approach the effects of climate change on human health and well-being, particularly within a cold climate context. The Arctic has felt the dramatic effects of climate change sooner and more acutely than other parts of the world, making it an ideal location for studying both cold climate adaptations and climate change resilience. Human biologists have a great deal to contribute to the conversation on not only adaptations to extreme cold, but also the ways in which climate change is being embodied by cold climate populations.
We present a new open source dataset FLODIS that links estimates of flood-induced human displacements, fatalities, and economic damages to flooded areas observed through remote sensing. The dataset connects displacement data from the Internal Displacement Monitoring Centre (IDMC), as well as data on fatalities and damages from the Emergency Events Database (EM-DAT), with the Global Flood Database (GFD), a satellite-based inventory of historic flood footprints. It thereby provides a spatially explicit estimate of the flood hazard underlying each individual disaster event. FLODIS contains two datasets with event-specific information for 335 human displacement events and 695 mortality/damage events that occurred around the world between 2000 and 2018. Additionally, we provide estimates of affected population, GDP, and critical infrastructure, as well as socio-economic indicators; and we provide geocoding for displacement events ascribed to other types of disasters, such as tropical cyclones, so that they may be linked to corresponding hazard estimates in future work. FLODIS facilitates integrated flood risk analysis, allowing, for example, for detailed assessments of local flood-damage and displacement vulnerability.
Air pollution and global temperature change are expected to affect infectious diseases. Air pollution usually causes inflammatory response and disrupts immune defense system, while temperature mainly exacerbates the effect of vectors on humans. Yet to date overview of systematic reviews assessing the exposure risk of air pollutants and temperature on infectious diseases is unavailable. This article aims to fill this research gap. PubMed, Embase, the Cochrane Library, Web of Science, and the Cumulative Index to Nursing and Allied Health Literature were searched. Systematic reviews and meta-analyses investigated the exposure risk of pollutants or temperature on infectious diseases were included. Two investigators screened literature, extracted data and performed the risk of bias assessments independently. A total of 23 articles met the inclusion criteria, which 3 (13%) were “low” quality and 20 (87%) were “critically low” quality. COVID-19 morbidity was associated with long-term exposure PM(2.5) (RR = 1.056 per 1 [Formula: see text], 95% CI: 1.039-1.072) and NO(2) (RR = 1.042 per 1 [Formula: see text], 95% CI: 1.017-1.068). In addition, for each 1 °C increase in temperature, the morbidity risk of dengue increased 13% (RR = 1.130 per 1 °C, 95% CI: 1.120-1.150), infectious diarrhea increased 8% (RR = 1.080 per 1 °C, 95% CI: 1.050-1.200), and hand, foot and mouth disease (HFMD) increased 5% (RR = 1.050 per 1 °C, 95% CI: 1.020-1.080). In conclusion, PM(2.5) and NO(2) increased the risk of COVID-19 and temperatures were associated with dengue, infectious diarrhoea and HFMD morbidity. Moreover, the exposure risk of temperature on COVID-19 was recommended to be further explored.
The climate change leads to periods of extreme events (i.e. reduction of cold seasons, heat waves, overheating, urban heat island among others) that affect the performance of residential and tertiary buildings with high occupancy (i.e. hospitals, schools, commercial centres, offices etc). However, most of low-carbon policies do not consider the ventilation as a mitigation measure. In fact, a lack of studies on natural ventilation (NV) and mixedmode (MM) strategies was detected, especially for warm regions or areas with hot and humid climates. This paper aims to carry out a bibliometric analysis from 1928 to 2023, to observe the evolution of the topic. After identifying the main research clusters (thermal comfort, energy efficiency, indoor air quality and simulation tools) by science mapping, the most relevant publications of the last 20 years were assessed (2003-2023). The results of this study revealed that only 1.51 % of the scientific documents in 95 years corresponded to an extensive literature review, although epidemic or disease outbreaks led to peaks of production in this topic. This emphasizes the importance of observing what was done and how was implemented over the years. Regarding the clusters, some relevant aspects can be highlighted: (i) non-homogeneity of studies on NV or MM related to building type; (ii) interregional projects should be drawn up to check the effectiveness of NV and MM, especially when other architectural techniques are adopted (i.e. solar chimneys, window wall ratio -WWR-, thermally activated building structures -TABS- etc); (iii) the optimization of simulation tools should be based on the incorporation of BIM and generative design for NV and MM.
Solastalgia is a term used to describe the pain and distress experienced by those witnessing their home environments destroyed or changed in unwelcome ways. Solastalgia is expected to become more prominent as climate change worsens and transforms landscapes. This scoping review examines and maps the existing literature on solastalgia in Australia, particularly focusing on Aboriginal and Torres Strait Islander experiences. Four focus questions guided the review to explore how solastalgia is conceptualized, highlight risk and protective factors, and identify strategies for addressing solastalgia. Eighteen papers met the criteria for inclusion. Overall, our results show a minimal evidence base on solastalgia in Australia with an even greater gap in exploring solastalgia from Aboriginal and Torres Strait Islander perspectives. A strong connection to home environments was suggested as both a risk and protective factor for experiencing solastalgia. Aboriginal and Torres Strait Islander peoples are considered at risk due to intimate connections to home environments, and since the invasion, have experienced mental distress resulting from significant, damaging changes to landscapes and home environments. We recommend further exploration of lived experiences of solastalgia across a greater diversity of Australian contexts, particularly amongst Aboriginal and Torres Strait Islander peoples, including a focus on practical implications.
BACKGROUND AND OBJECTIVES: Extremely hot temperature affects psychological well-being negatively, especially for older adults with lower socioeconomic status (SES). The objectives of this study are to examine: (a) the impact of hot instantaneous temperature on older adults’ emotional well-being and (b) whether meaningful engagement could reduce the above impact, particularly for those of lower SES. RESEARCH DESIGN AND METHODS: We conducted a quantitative time-sampling study during hot-weather months (May-September) in 2021 and 2022. The sample comprises 344 participants aged 60 years or older (M(age) = 67.15, SD(age) = 5.26) living in urban areas of Hong Kong, where hot days (daily maximum temperature ≥33°C) accounted for 23% of the study days. Participants reported positive and negative affect, and engagement in meaningful activities, three times a day over a 10-day period, and wore sensors that tracked the instantaneous temperature of their immediate environment. Multilevel modeling was employed to examine the impacts on affect from temperature, SES, and meaningful activity engagement. RESULTS: Hotter instantaneous temperature predicted greater momentary negative affect and less positive affect immediately afterwards. Meaningful engagement significantly buffered against the affective impacts of hotter temperature, and this buffering effect was more salient among older adults of lower SES. DISCUSSION AND IMPLICATIONS: This study highlights the role of meaningful engagement in reducing the impact of hotter instantaneous temperature on older adults’ emotional well-being, particularly for those of lower SES. Meaningful activity engagement may be capitalized on, as a strategy, to reduce climate-related social inequality.
This paper provides an assessment of residential satisfaction of post-disaster resettlement areas that were built in Tacloban City, Leyte, Philippines after Typhoon Haiyan. We analyze four com-ponents of residential satisfaction: environmental, infrastructure and management, social and neighborhood and economic-livelihood services. Results from the study indicate that the resi-dents are moderately satisfied with the post-disaster housing provided after typhoon Yolanda. A multiple linear regression was employed in the study to determine the factors that are correlated with housing satisfaction. Results from the regression show that use of houses for cultural activi-ties, presence of health infrastructure and membership in associations were the common predic-tor variables to determine residential satisfaction. Meanwhile, the presence of infrastructural de-fects such as wall cracks and distance from the city center are negatively associated with housing satisfaction. The data from this study provides specific factors that can influence residential satis-faction which can provide targeted interventions for future resettlement projects.
Globally, antimicrobial resistance (AMR) and climate change (CC) are two of the top health emergencies, and can be considered as two interlinked public health priorities. The complex commonalities between AMR and CC should be deeply investigated in a One Health perspective. Here, we provided an overview of the current knowledge about the relationship between AMR and CC. Overall, the studies included pointed out the need for applying a systemic approach to planetary health. Firstly, CC increasingly brings humans and animals into contact, leading to outbreaks of zoonotic and vector-borne diseases with pandemic potential. Although it is well-established that antimicrobial use in human, animal and environmental sectors is one of the main drivers of AMR, the COVID-19 pandemic is exacerbating the current scenario, by influencing the use of antibiotics, personal protective equipment, and biocides. This also results in higher concentrations of contaminants (e.g., microplastics) in natural water bodies, which cannot be completely removed from wastewater treatment plants, and which could sustain the AMR spread. Our overview underlined the lack of studies on the direct relationship between AMR and CC, and encouraged further research to investigate the multiple aspects involved, and its effect on human health.
Comprehending the correlation between alterations in human-flood distance and flood fatalities (as well as displacements) is pivotal for formulating effective human adaptive strategies in response to floods. However, this relationship remains inadequately explored in existing global analyses. To address this gap, we examine 910 flood events occurring from 2000 to 2018, resulting in significant numbers of fatalities and displacements. We find that in 53% of countries, humans tend to distance from floods, particularly in the Middle East. Such distancing greatly mitigates flood fatalities and displacements. Simultaneously, in areas with increased flood protection level (FPL), humans are less likely to move away from floods. Furthermore, FPL and human-flood distance have decreased in regions affected by ice jam- and hurricane-induced floods from 2000 to 2018. Notably, regions with human-flood distance slightly below the average for a given flood type experience more severe flood fatalities. People have developed effective ways (i.e., distancing from flood and increasing flood protection level) to adapt and minimize the impact of catastrophic floods on exposed populations. However, the relationship between these behaviors and flood fatalities (as well as displacements) is not well understood on a global scale. To address this knowledge gap, we study 910 flood events that occurred between 2000 and 2018, leading to significant fatalities and displacements. We find that in 53% of countries, people tend to move away from flood-affected areas, especially in the Middle East. This distancing behavior greatly reduces the number of fatalities and displaced individuals caused by floods. Additionally, in areas with higher flood protection level, people are less likely to relocate away from floods. Over the studied period, both flood protection levels and the distance between humans and flood-prone areas have decreased in regions affected by ice jam- and hurricane-induced floods. Importantly, regions where the distance between humans and floods is slightly below the average for a given flood type experience more severe flood fatalities. These findings could help improve the efficiency of flood control management and the adoption of adaptive policies. 53% of countries witnessed humans distancing themselves from floods between 2000 and 2018, especially those in the Middle EastHumans distancing from the floods leads to a substantial reduction in both flood fatalities and flood displaced populationHumans residing in regions with a high flood protection level tend not to move away from the flood
While it has been shown that climate change anxiety (emotional distress response to climate change) can enhance pro-environmental behaviours (PEBs) in some subjects, in others it can induce eco-paralysis, thus leading individuals to avoid any form of engagement in actions against climate change. This study aims to clarify which factors influence the relationship between climate change anxiety and the disposition to PEBs, focusing on the role of self-efficacy as a mediating factor. A cross-sectional study was conducted on 394 healthy subjects living in Italy who completed the Pro-Environmental Behaviours Scale (PEBS), the General Self-Efficacy scale (GSE), and the Climate Change Anxiety Scale (CCAS). As a result, the mediation model showed a positive direct effect of the cognitive impairment subscale of CCAS on PEBS and an indirect negative effect of the cognitive impairment subscale of CCAS on PEBS mediated by GSE. These findings show that climate change anxiety has simultaneously two different effects on individuals: it directly encourages PEBs, and indirectly may have detrimental effects on PEBs such as eco-paralysis. Consequently, therapeutic approaches to treat climate change anxiety should not be aimed at rationalising irrational thoughts but rather at helping patients develop coping strategies such as PEBs which, in turn, foster self-efficacy.
Global climate change, induced by anthropogenic causes, has severe consequences for Earth and its inhabitants. With the consequences already visible around the globe, one of them is the impact on food security. The lack of food security has serious impacts on health, especially in vulnerable populations who highly depend on a nutritious diet for a healthy life. The following research aims to assess the current research status of climate change, food security and health. In this context, the interlinkage of the three key concepts is analyzed, as well as the related health consequences. To achieve the aims of this research, a bibliometric analysis was conducted using VOSviewer, (version 1.6.16) including 453 papers. The data were retrieved from the Scopus database on 10 November 2022. Bibliometric analysis can illustrate emerging and key topic areas using keywords and co-occurrence analysis; hence, it is an adequate method to meet the listed research aims. Five different clusters have been derived from the analysis, each representing a different perspective on interlinkage. From the different clusters, the main consequences of climate change on food security could be derived, such as a decrease in crop yields, less availability of fish and livestock, or food contamination through mycotoxins. These can cause serious health implications, predominantly increasing the rate of malnutrition globally. The work showed the importance of action to prevent the consequences of climate change in relation to food security and health nexus. To do so, adaptation strategies are needed that consider the interdisciplinary scope of the problem, building sustainable measures that benefit each concept.
Climate change is recognized as a major contributor to the increase in heat-related deaths, and the frequency of heatwave days is expected to continue rising in the future. Addressing the impacts of climate change is a critical component of the United Nations’ sustainable development goals, emphasizing the need for urgent action. To aid decision-makers in this process, the heat vulnerability index (HVI) serves as a valuable tool for identifying areas most susceptible to heatwaves, informing adaptation plans, and assessing influential factors. In this comprehensive review article, we examined 104 relevant studies that focus on the HVI. Our analysis explores key indicators of exposure, sensitivity, and adaptive capacity that contribute to the vulnerability index, and which are associated with increased mortality. While certain indicators are locationspecific, others-such as building characteristics-have broader applicability but require more focused consideration. Furthermore, we present various data analysis and visualization options, as well as potential weaknesses of the indicators. This information will aid researchers and practitioners in selecting appropriate indicators for their specific areas and developing robust heat vulnerability indexes. By understanding these factors, we can prioritize interventions and strategies to reduce heat-related excess mortality and improve overall human health outcomes.
Heatwaves are becoming more common and impact health. We conducted a representative survey in June 2022 in Germany to determine people’s knowledge and protective behaviours on heat days. In data from 953 respondents, we found that a large proportion informed themselves about upcoming heat days, but there are considerable gaps in knowledge. While knowledge was not related to taking up protecting behaviour, other predictors were (e.g. risk perception). Health campaigns should therefore not only aim to improve knowledge but also address risk perceptions, facilitate social learning, communicate social norms and remove barriers that prevent protective behaviours.
OBJECTIVE: To critically assess the impacts of very hot weather on (i) frontline staff in hospitals in England and (ii) on healthcare delivery and patient safety. STUDY DESIGN: A qualitative study design using key informant semi-structured interviews, preinterview survey and thematic analysis. SETTING: England. PARTICIPANTS: 14 health professionals in the National Health Service (clinicians and non-clinicians, including facilities managers and emergency preparedness, resilience and response professionals). RESULTS: Hot weather in 2019 caused significant disruption to health services, facilities and equipment, staff and patient discomfort, and an acute increase in hospital admissions. Levels of awareness varied between clinical and non-clinical staff of the Heatwave Plan for England, Heat-Health Alerts and associated guidance. Response to heatwaves was affected by competing priorities and tensions including infection control, electric fan usage and patient safety. CONCLUSIONS: Healthcare delivery staff experience difficulty in managing heat risks in hospitals. Priority should be given to workforce development and strategic, long-term planning, prevention and investment to enable staff to prepare and respond, as well as to improve health system resilience to current and future heat-health risks. Further research with a wider, larger cohort is required to develop the evidence base on the impacts, including the costs of those impacts, and to assess the effectiveness and feasibility of interventions. Forming a national picture of health system resilience to heatwaves will support national adaptation planning for health, in addition to informing strategic prevention and effective emergency response.
With the increasing impacts of climate change, heatwaves are placing an enormous burden on health and social systems and threatening ecological diversity around the world. Heatwaves are increasing not only in frequency but also in severity and magnitude. They are causing the deaths of thousands of people. Research is needed on a multidisciplinary, supra-regional, and regional level. METHODS: A detailed evaluation of the research conducted is not yet available. Therefore, this study provides a detailed insight into the publication landscape to identify key players, incentives, and requirements for future scientific efforts that are useful not only for scientists but also to stakeholders and project funders. RESULTS: The number of publications on heatwaves is increasing, outpacing the trend of research indexed by the Science Citation Index Expanded. However, funding is lagging behind comparatively. Looking at absolute numbers, the USA, Australia, China, and some European countries have been identified as major players in heatwave research. If socio-economic numbers are included, Switzerland and Portugal lead the way. Australia and the UK dominate if the change in heatwave-exposed people is included. Nevertheless, exposure and economic strength of publishing countries were identified as the main drivers of national research interests. Previous heatwaves, in particular, have driven research efforts primarily at the national level. CONCLUSION: For an efficient monitoring or early detection system that also includes the economically weak regions, internationally networked efforts are necessary to enable preventive measures and damage limitation against heatwaves. Regardless of previous regional extreme heat events, research approaches should be focused to the global level.
BACKGROUND: Flooding can cause long-term, significant impacts on mental health in affected populations. We explored help-seeking behaviour of households affected by flooding. METHODS: A cross-sectional analysis was conducted on National Study of Flooding and Health data on households flooded in England in winter 2013/14. Participants (Year 1: n = 2006; Year 2: n = 988; Year 3: n = 819) were asked if they sought help from health services and other sources. Logistic regression was conducted to calculate odds ratios (ORs) of help-seeking in flooded and disrupted participants compared to unaffected, adjusted for a priori confounders. RESULTS: The odds of seeking help from any source 1 year after flooding were greater for flooded participants [adjusted OR (aOR): 1.71, 95% confidence interval (CI): 1.19-1.45] and those disrupted by flooding (aOR: 1.92, 95% CI: 1.37-2.68) compared to unaffected participants. This continued in the second year (flooded: aOR 6.24, 95% CI: 3.18-13.34; disrupted: aOR: 2.22, 95% CI: 1.14-4.68), and help-seeking remained greater in flooded than unaffected participants in the third year. Flooded and disrupted participants were particularly likely to seek help from informal sources. Help-seeking was more prevalent amongst participants with mental health outcomes, but a notable proportion of individuals with any mental health outcome did not seek help (Year 1: 15.0%; Year 2: 33.3%; Year 3: 40.3%). CONCLUSIONS: Flooding is associated with increased demand for formal and informal support, persisting for at least 3 years, and an unmet need for help amongst affected individuals. Our findings should be considered in flood response planning to reduce the long-term adverse health impacts of flooding.
Cities in the Sahel are heavily impacted by heat stress. Climate change, growing population rates and urbanization will increase the magnitude and intensity of urban heat stress towards the future. This study provides a comprehensive analysis of the current status of heat stress in Niamey (Niger) and future impacts by combining the results of two models operating at city-level: UrbClim which simulates (future) climate and GeoDynamiX, providing future city spatial extents combined with the results of a measurement campaign. Additionally, a meter-scale assessment of heat stress within the city is executed for a selection of city districts. Urban green and trees are effective mitigation tools for heat stress, which is observed in both measurements and model results, being most effective during the hottest hours of the day when they lower heat stress to less health-impacting levels. Future simulations show a strong increase in the spatial extent and intensity of extreme temperatures within the city. This impacts city dwellers, which will consequently experience much more days with extreme heat stress levels towards the future, doubling or tripling depending on the climate scenario. Socio-economic impacts for mid-century are quantified, noting increases in heat-related mortality of several percentages compared to present-day values. Additionally, negative economic impacts of several percentages of the Gross Domestic Product are projected as heat stress will prohibit performing moderate or high-intensity activities during the hottest hours of the day, even in the shade.
As climate warms, the impact of existing urban heat islands on the health of residents in towns and cities will worsen. A reduction in impervious in cities may help to reduce temperatures, but the relationship between tree canopy coverage and land surface temperature (LST) is not well characterised. Here, we quantified the summer LST of the temperate city of Leeds, UK using Landsat 8 TIRS remote sensing image and explored the spatial relationships between LST and impervious land cover, greenspace coverage, type of greenspace and canopy cover. We found a strong relationship between LST and canopy coverage across the built-up region of Leeds and use this relationship to project the impact of future canopy cover expansion. We found that of the nine main types of greenspaces in Leeds, private gardens occupied the greatest fraction of the total greenspace area and offered most potential for canopy cover expansion. Results suggest that a doubling of canopy coverage across the city, could reduce the mean LST by around 2.5 degrees C during the warmest summer months. Such a temperature reduction adds further weight to efforts by cities and countries globally to increase tree cover to both mitigate for and adapt to climate change.
RATIONALE: Air pollution and extreme temperature and humidity are risk factors for lung dysfunction, but their interactions are not clearly understood. OBJECTIVES: To assess the impact of exposure to air pollutants and meteorological factors on lung function, and the contribution of their interaction to the overall effect. METHODS: The peak expiratory flow rates of 135 participants were repeatedly measured during up to four visits. Two weeks before each visit, the concentrations of gaseous pollutants and 19 fine particle components, and the temperature and relative humidity, were continuously monitored in the community where they lived. A Bayesian Kernel machine regression model was used to explore the non-linear exposure-response relationships of the peak expiratory flow rate with pollutant exposure and meteorological factors, and their interactions. MEASUREMENTS AND MAIN RESULTS: Increased temperature and relative humidity could exacerbate pollutant-associated decline in the peak expiratory flow rate, although their associations with lung dysfunction disappeared after adjustment for pollutant exposure. For example, declines of peak expiratory flow rate associated with interquartile range increase of 3-day cadmium exposure were -0.03 and -0.07 units, when temperature was at 0.1 and 19.5 °C, respectively. Decreased temperature were associated with declines of peak expiratory flow rate after adjustment for pollutant exposure, and had interaction with pollutant exposure on lung dysfunction. CONCLUSIONS: High temperature, low temperature, and high humidity were all high-risk factors for lung dysfunction, and their interactions with pollutant levels contributed greatly to the overall effects.
Urban heat islands (UHIs) aggravate urban heat stress and, therefore, exacerbate heat-related morbidity and mortality as global warming continues. Numerous studies used surface urban heat island intensity (SUHII) to quantify the change in the UHI effect and its drivers for heat mitigation. However, whether the variations in SUHII among cities can demonstrate the physical difference and fluctuation of the urban thermal environment is poorly understood. Here, we present a comparison study on the temporal trends of SUHII and LST in urban and nonurban areas in 13 cities of the Beijing-Tianjin-Hebei (BTH) megaregion in China and further identify different types of changes in SUHII based on the temporal trends of land surface temperature (LST) in urban and nonurban areas from 2000 to 2020. We also measured the effect of the changes in four socioecological factors (i.e., population density, vegetation greenness (EVI), GDP, and built-up area) on the trends of SUHII to understand the dynamic interaction between the UHI effect and socioecological development. We found the following. (1) Nine out of thirteen cities showed a significant increasing trend in SUHII, indicating that the SUHI effects have been intensified in most of the cities in the BTH megaregion. (2) The spatial pattern of summer mean SUHII and LST in urban areas varied greatly. Among the 13 cities, Beijing had the highest mean SUHII, but Handan had the highest urban temperature, which suggests that a city with stronger SUHII does not necessarily have a higher urban temperature or hazardous urban thermal environment. (3) Four types of changes in SUHII were identified in the 13 cities, which resulted from different temporal trends of LST in urban areas and nonurban areas. In particular, one type of increasing trend of SUHII in seven cities resulted from a greater warming trend (increasing LST) in urban than nonurban areas (SUHII up arrow 1), and another type of increasing trend of SUHII in Beijing and Chengde was attributed to the warming trends (increasing LST) in urban areas and the cooling trends (decreasing LST) in nonurban areas (SUHII up arrow 2). Meanwhile, the third type of increasing trend of SUHII in Zhangjiakou was due to a greater cooling (decreasing LST) trend in nonurban areas than in urban areas (SUHII up arrow 3). In contrast, three cities with a decreasing trend of SUHII were caused by the increase in LST in urban and nonurban areas, but the warming trend in nonurban areas was greater than in urban areas (SUHII down arrow 1). (4) Among the relationship between the trend of SUHII (TrendSUHII) and the changes in socioecological factors (Trendpopulation density, TrendGDP per captica, TrendEVI, and Trendbuild-up area), a significantly positive correlation between TrendSUHII and TrendEVI indicated that the change in SUHII was significantly related to an increased rate of EVI. This is mainly because increased vegetation in nonurban areas would result in lower temperatures in nonurban areas.
The factors that drive dengue virus (DENV) evolution, and selection of virulent variants are yet not clear. Higher environmental temperature shortens DENV extrinsic incubation period in mosquitoes, increases human transmission, and plays a critical role in outbreak dynamics. In the present study, we looked at the effect of temperature in altering the virus virulence. We found that DENV cultured at a higher temperature in C6/36 mosquito cells was significantly more virulent than the virus grown at a lower temperature. In a mouse model, the virulent strain induced enhanced viremia and aggressive disease with a short course, hemorrhage, severe vascular permeability, and death. Higher inflammatory cytokine response, thrombocytopenia, and severe histopathological changes in vital organs such as heart, liver, and kidney were hallmarks of the disease. Importantly, it required only a few passages for the virus to acquire a quasi-species population harboring virulence-imparting mutations. Whole genome comparison with a lower temperature passaged strain identified key genomic changes in the structural protein-coding regions as well as in the 3’UTR of the viral genome. Our results point out that virulence-enhancing genetic changes could occur in the dengue virus genome under enhanced growth temperature conditions in mosquito cells.
The coronavirus (SARS-CoV-2) is the latest but not the first deadly pathogen to jump from animals to humans. The history of pandemics is replete with such events. The convergence of animal health, human health, and ecosystem health is a twenty-first century reality, as human activities that drive climate change also contribute to pandemic risk. Understanding the past and future of zoonotic diseases requires new models in the way we research human-animal-environment interconnections. This bibliographic essay discusses the historical development of these zoonotic diseases and incorporates sources from the history of science and medicine, environmental science, animal science, disease ecology, politics, and anthropology. Contributing to deeper understandings of zoonotic diseases, historians and anthropologists have viewed pandemics as social and biological phenomena. However, viewpoints differ whether scholars routinely examine disease links between animals and humans. These links include the ecological aspects of infectious diseases’ history and the role of wildlife as vectors of zoonotic disease. In addition, challenges persist in integrating social sciences and humanities, the environmental sector, and scientific research. Ideally, historiographies of zoonotic diseases would include societies’ responses and the social, cultural, political, economic, and ecological contexts. This bibliographic essay assembles resources that would benefit such an integrated approach.
Heat waves can be one of the most dangerous climatic hazards affecting the planet, having dramatic impacts on the health of humans and natural ecosystems as well as on anthropogenic activities, infrastructures and economy. Based on climatic conditions in West Africa, the urban centres of the region appear to be vulnerable to heat waves. The goals of this work are firstly to assess the potential uncertainties encountered in heat wave detection and secondly to analyse their recent trend in West Africa cities during the period 1993-2020. This is done using two state-of-the-art reanalysis products, namely the fifth-generation European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis (ERA5) and Modern-Era Retrospective analysis for Research and Applications (MERRA), as well as two local station datasets, namely Dakar-Yoff in Senegal and Aeroport Felix Houphouet-Boigny, Abidjan, in Cote d’Ivoire. An estimate of station data from reanalyses is processed using an interpolation technique: the nearest neighbour to the station with a land sea mask = 0.5. The interpolated temperatures from local stations in Dakar and Abidjan show slightly better correlation with ERA5 than with MERRA. Three types of uncertainty are discussed: the first type of uncertainty is related to the reanalyses themselves, the second is related to the sensitivity of heat wave frequency and duration to the threshold values used to monitor them, and the last one is linked to the choice of indicators and the methodology used to define heat waves. Three sorts of heat wave have been analysed, namely those occurring during daytime, nighttime, and both daytime and nighttime concomitantly. Four indicators have been used to analyse heat waves based on 2 m temperature, humidity, 10 m wind or a combination of these. We found that humidity plays an important role in nighttime events; concomitant events detected with wet-bulb temperature are more frequent and located over the northern Sahel. Strong and more persistent heat waves are found in the continental (CONT) region. For all indicators, we identified 6 years with a significantly higher frequency of events (1998, 2005, 2010, 2016, 2019 and 2020), possibly due to higher sea surface temperatures in the equatorial Atlantic Ocean corresponding to El Nino events for some years. A significant increase in the frequency, duration and intensity of heat waves in the cities has been observed during the last decade (2012-2020); this is thought to be a consequence of climate change acting on extreme events.
COVID-19 pandemic appeared summer surge in 2022 worldwide and this contradicts its seasonal fluctuations. Even as high temperature and intense ultraviolet radiation can inhibit viral activity, the number of new cases worldwide has increased to >78% in only 1 month since the summer of 2022 under unchanged virus mutation influence and control policies. Using the attribution analysis based on the theoretical infectious diseases model simulation, we found the mechanism of the severe COVID-19 outbreak in the summer of 2022 and identified the amplification effect of heat wave events on its magnitude. The results suggest that approximately 69.3% of COVID-19 cases this summer could have been avoided if there is no heat waves. The collision between the pandemic and the heatwave is not an accident. Climate change is leading to more frequent extreme climate events and an increasing number of infectious diseases, posing an urgent threat to human health and life. Therefore, public health authorities must quickly develop coordinated management plans to deal with the simultaneous occurrence of extreme climate events and infectious diseases.
Given the increasing trend of global warming and extreme weather conditions, including heat waves and its effects on health, the present study was done to investigate adaptive behaviors of communities in the world for combating heat waves. METHOD: ology: In this systematic review, out of 1529 results, 57 relevant and authoritative English papers on adaptation to heat waves hazard were extracted and evaluated using valid keywords from valid databases (PubMed, WOS, EMBASE, and Scopus). In addition, multiple screening steps were done and then, the selected papers were qualitatively assessed. Evaluation results were summarized using an Extraction Table. RESULTS: In this paper, the adaptive behaviors for combating heat waves hazard were summarized into 11 categories: Education and awareness raising, Adaptation of critical infrastructure, Governments measures, Health-related measures, Application of early warning system, Protective behaviors in workplace, Physical condition, Adaptive individual behaviors, Design and architecture of the building, Green infrastructure (green cover), and Urban design. CONCLUSION: The findings of this study showed that community actions have significant effects on adaptation to heat wave. Therefore, for reducing heat wave-related negative health effects and vulnerability, more attention should be paid to the above-mentioned actions for mitigation, preparation, and responding regarding heat waves. PROSPERO REGISTRATION NUMBER: CRD42021257747.
Ambulance data has been reported to be a sensitive indicator of health service use during hot days, but there is no comprehensive summary of the quantitative association between heat and ambulance dispatches. We conducted a systematic review and meta-analysis to retrieve and synthesise evidence published up to 31 August 2022 about the association between heat, prolonged heat (i.e. heatwaves), and the risk of ambulance dispatches. We initially identified 3628 peer-reviewed papers and included 48 papers which satisfied the inclusion criteria. The meta-analyses showed that, for each 5 °C increase in mean temperature, the risk of ambulance dispatches for all causes and for cardiovascular diseases increased by 7% (95% confidence interval (CI): 5%, 10%) and 2% (95% CI: 1%, 3%), respectively, but not for respiratory diseases. The risk of ambulance dispatches increased by 6% (95% CI: 4%, 7%), 7% (95% CI: 5%, 9%), and 18% (95% CI: 12%, 23%) under low-intensity, severe, and extreme heatwaves, respectively. We observed two potential sources of bias in the existing literature: (1) bias in temperature exposure measurement; and (2) bias in the ascertainment of ambulance dispatch causes. This review suggests that heat exposure is associated with an increased risk of ambulance dispatches, and there is a dose-response relationship between heatwave intensity and the risk of ambulance dispatches. For future studies assessing the heat-ambulance association, we recommend that (1) using data on spatially refined gridded temperature that is either very well interpolated or derived from satellite imaging may be an alternative to reduce exposure measurement bias; and (2) linking ambulance data with hospital admission data can be useful to improve health outcome classification.
Under climate change, many parts of the world are warming with increasing frequencies and intensities of heatwaves, bringing heat-health risks to places including those that have a historically temperate or cool climate. These places may have extensive experience in managing cold-health risks, while experience is lacking in dealing with heat-health risks due to their lack of historical exposure to high temperatures. This paper explores this overlooked area of the challenges and opportunities of heat-health governance in cool places using Scotland as a case study. Various important themes of heat-health governance in cool places were identified by the study, including socio-cultural barriers to intervention, vulnerable population overlaps, temporal and geographical scales, and governance arrangements. The study found challenges in managing heat-health risks including a perceived lack of heat-health risks and policy priority as well as unsuitable building stock. Meanwhile, it also identified opportunities for governing cold and heat risks holistically within existing institutional systems and creating co-benefits of improving communication and information dissemination, reducing inequality and improving indoor thermal comfort of both cold and heat as well as providing good quality greenspace. Our findings contribute to the development or improvement of national/regional strategies to manage heat-health risks not only in Scotland but also in other places with a historically cool or temperate climate.
Evidence on the potential interactive effects of heat and ambient air pollution on cause-specific mortality is inconclusive and limited to selected locations. OBJECTIVES: We investigated the effects of heat on cardiovascular and respiratory mortality and its modification by air pollution during summer months (six consecutive hottest months) in 482 locations across 24 countries. METHODS: Location-specific daily death counts and exposure data (e.g., particulate matter with diameters ≤ 2.5 µm [PM(2.5)]) were obtained from 2000 to 2018. We used location-specific confounder-adjusted Quasi-Poisson regression with a tensor product between air temperature and the air pollutant. We extracted heat effects at low, medium, and high levels of pollutants, defined as the 5th, 50th, and 95th percentile of the location-specific pollutant concentrations. Country-specific and overall estimates were derived using a random-effects multilevel meta-analytical model. RESULTS: Heat was associated with increased cardiorespiratory mortality. Moreover, the heat effects were modified by elevated levels of all air pollutants in most locations, with stronger effects for respiratory than cardiovascular mortality. For example, the percent increase in respiratory mortality per increase in the 2-day average summer temperature from the 75th to the 99th percentile was 7.7% (95% Confidence Interval [CI] 7.6-7.7), 11.3% (95%CI 11.2-11.3), and 14.3% (95% CI 14.1-14.5) at low, medium, and high levels of PM(2.5), respectively. Similarly, cardiovascular mortality increased by 1.6 (95%CI 1.5-1.6), 5.1 (95%CI 5.1-5.2), and 8.7 (95%CI 8.7-8.8) at low, medium, and high levels of O(3), respectively. DISCUSSION: We observed considerable modification of the heat effects on cardiovascular and respiratory mortality by elevated levels of air pollutants. Therefore, mitigation measures following the new WHO Air Quality Guidelines are crucial to enhance better health and promote sustainable development.
Over 70,000 excess deaths occurred in Europe during the summer of 2003. The resulting societal awareness led to the design and implementation of adaptation strategies to protect at-risk populations. We aimed to quantify heat-related mortality burden during the summer of 2022, the hottest season on record in Europe. We analyzed the Eurostat mortality database, which includes 45,184,044 counts of death from 823 contiguous regions in 35 European countries, representing the whole population of over 543 million people. We estimated 61,672 (95% confidence interval (CI) = 37,643-86,807) heat-related deaths in Europe between 30 May and 4 September 2022. Italy (18,010 deaths; 95% CI = 13,793-22,225), Spain (11,324; 95% CI = 7,908-14,880) and Germany (8,173; 95% CI = 5,374-11,018) had the highest summer heat-related mortality numbers, while Italy (295 deaths per million, 95% CI = 226-364), Greece (280, 95% CI = 201-355), Spain (237, 95% CI = 166-312) and Portugal (211, 95% CI = 162-255) had the highest heat-related mortality rates. Relative to population, we estimated 56% more heat-related deaths in women than men, with higher rates in men aged 0-64 (+41%) and 65-79 (+14%) years, and in women aged 80+ years (+27%). Our results call for a reevaluation and strengthening of existing heat surveillance platforms, prevention plans and long-term adaptation strategies.
Physical health has been associated with ambient temperature and heatwave. With the frequent occurrence of heatwave, the adaptive effects and mechanisms on mental health remain uncertain. On the basis of the China Health and Nutrition Survey, we estimated the relationship between heatwaves and self-assessed mental health scores in the Chinese population aged 50 and above. This study has identified that with each additional heatwave event, mental health scores decreased by an average of 0.027 points, which is equivalent to 0.3% of the average level. Heat is more likely to affect groups with low education, no medical insurance, and living in rural areas. In mechanistic exploration, we found that stress emotion is a fully mediating effect. Heat led to reduced health activities and more frequent drinking, which may lead to lower psychological well-being. Moreover, good dietary preference is a regulator that can help mitigate the adverse effects of heat on mental health. This study corroborates the impact of heat on spiritual welfare, and demonstrates the mechanisms and channels of impact, which can help reduce global economic losses due to mental health problems.
We aimed to analyze recent literature on heat effects on cardiovascular morbidity and mortality, focusing on the adopted heat definitions and their eventual impact on the results of the analysis. Methods: The search was performed on PubMed, ScienceDirect, and Scopus databases: 54 articles, published between January 2018 and September 2022, were selected as relevant. In total, 21 different combinations of criteria were found for defining heat, 12 of which were based on air temperature, while the others combined it with other meteorological factors. By a simulation study, we showed how such complex indices could result in different values at reference conditions depending on temperature. Heat thresholds, mostly set using percentile or absolute values of the index, were applied to compare the risk of a cardiovascular health event in heat days with the respective risk in non-heat days. The larger threshold’s deviation from the mean annual temperature, as well as higher temperature thresholds within the same study location, led to stronger negative effects. To better analyze trends in the characteristics of heatwaves, and their impact on cardiovascular health, an international harmonization effort to define a common standard is recommendable.
The World Meteorological Organization considers a heatwave as “a period of statistically unusual hot weather persisting for a number of days and nights”. Accompanying the ongoing global climate change, sharp heatwave bouts occur worldwide, growing in frequency and intensity, and beginning earlier in the season. Heatwaves exacerbate the risk of heat-related illnesses, hence human morbidity and mortality, particularly in vulnerable elderly and children. Heat-related illnesses present a continuum from normothermic (prickly heat, heat edema, heat cramps, heat tetany) to hyperthermic syndromes (from heat syncope and heat exhaustion to lethal heat stroke). Heat stroke may occur through passive heating and/or exertional exercise. “Normal sleep”, such as observed in temperate conditions, is altered during heatwaves. Brisk excessive heat bouts shorten and fragment human sleep. Particularly, deep N3 sleep (formerly slow-wave sleep) and REM sleep are depleted, such as in other stressful situations. The resultant sleep loss is deleterious to cognitive performance, emotional brain function, behavior, and susceptibility to chronic health conditions and infectious diseases. Our group has previously demonstrated that sleep constitutes an adaptive mechanism during climatic heat acclimatization. In parallel, artificial heat acclimation procedures have been proposed in sports and military activities, and for the elderly. Other preventive actions should be considered, such as education and urban heat island cooling (vegetation, white paint), thus avoiding energy-hungry air conditioning.
Heatwaves are a significant cause of adverse health outcomes and mortality in Australia, worsening with climate change. In Queensland, the northeastern-most state, little is known about the impact of heatwaves outside of the capital city of Brisbane. This study aims to explore the impact of heatwaves on mortality across various demographic and environmental conditions within Queensland from 2010 to 2019. The Excess Heat Factor was used to indicate heatwave periods at the Statistical Area 2 (SA2) level. Registered deaths data from the Australian Bureau of Statistics and heatwave data from the Bureau of Meteorology were matched using a case-crossover approach. Relative risk and 95% confidence intervals were calculated across years, regions, age, sex, rurality, socioeconomic status, and cause of death. Heatwaves were associated with a 5% increase in all-cause mortality compared to deaths on non-heatwave days, with variability across the state. The risk of death on a heatwave day versus a non-heatwave day varied by heatwave severity. Individuals living in urban centers, the elderly, and those living in regions of lower socioeconomic status were most impacted by heatwave mortality. The relative risk of dying from neoplasms, nervous system conditions, respiratory conditions, and mental and behavioral conditions increased during heatwaves. As heatwaves increase in Queensland due to climate change, understanding the impact of heatwaves on mortality across Queensland is important to tailor public health messages. There is considerable variability across communities, demographic groups, and medical conditions, and as such messages need to be tailored to risk.
Concerns about climate change are driving the development of novel technologies for mitigation and adaptation. Some of them include electricity generating and water harvesting based on atmospheric humidity. The latter is already commercial and can generate 50 L of drinking water per day per capita for dozens of people; however, besides energy, operation requires sufficient levels and durations of humidity and temperature. Our study focuses on the 33 megacities of the world, characterising the humidity and heat stress regimes during the last decade, using data from meteorological stations in their vicinity, and ranking them by their exposure and vulnerability to intense heat stress and their suitability to use these moisture-reliant technologies. Our findings indicate the dominance of severe heat stress conditions in megacities located in developing countries. Ranking the megacities according to the intensity and duration of the heat stress shows the annual, monthly and hourly courses. The five most affected are the cities of Chennai, Bangkok, Kolkata, Karachi and New Delhi. Seven megacities suffer continuous, at least 12 h, of intense heat stress during 1-4 months. The ranking also considered the level of income of the countries, hence their vulnerability. On an annual basis, approximately half of the megacities are highly suited for moisture-reliant technologies, among them megacities ranked as the top three in exposure to intense heat stress conditions-Chennai, Bangkok and Kolkata. When focusing on the humid season, 27 out of 33 megacities (82%) obtain suitable conditions for the new technologies and thus can benefit from them, at least part of the year. The implementation of humidity technologies for green energy and clean water could be of great help as our world gets more populated, warmer with higher water demand, especially for populations with insufficient infrastructure and resources. Our study focuses on the 33 megacities of the world, characterising the humidity and heat stress regimes during the last decade, using data from meteorological stations in their vicinity, and ranking them by their exposure and vulnerability to intense heat stress and their suitability to use these moisture-reliant technologies.image
Globally, more people die from cardiovascular disease than any other cause. Extreme heat can have serious implications for heart health, especially in people with pre-existing cardiovascular conditions. In this review, we examined the relationship between heat and the leading causes of cardiovascular diseases as well as the proposed physiological mechanisms for the deleterious effect of heat on the heart. The body’s response to high temperatures, including dehydration, increased metabolic demand, hypercoagulability, electrolyte imbalances, and systemic inflammatory response, can place a significant strain on the heart. Epidemiological studies showed that heat can result in ischemic heart disease, stroke, heart failure, and arrhythmia. However, targeted research is needed to understand the underlying mechanisms of hot temperatures on these main causes of cardiovascular disease. Meanwhile, the absence of clinical guidance on how to manage heart diseases during heat events highlights the need for cardiologists and other health professionals to lead the charge in addressing the critical relationship between a warming climate and health.
Extreme heat negatively impacts cognition, learning, and task performance. With increasing global temperatures, workers may therefore be at increased risk of work-related injuries and illness. This study estimates the effects of temperature on worker health using records spanning 1985-2020 from an Australian mandatory insurance scheme. High temperatures are found to cause significantly more claims, particularly among manual workers in outdoor-based industries. These adverse effects have not diminished across time, with the largest effect observed for the 2015-2020 period, indicating increasing vulnerability to heat. Within occupations, the workers most adversely affected by heat are female, older-aged and higher-earning. Finally, results from firm-level panel analyses show that the percentage increase in claims on hot days is largest at “safer” firms.
BACKGROUND: Climate change has led to the frequent occurrence of high-temperature weather, which has various adverse effects on health, ranging from blood metabolism to systemic organ function. In particular, the sequelae of heat stress injury in most people are related to the nervous system. However, the mechanisms between heat stress and mental health conditions, especially heat stress and anxiety, remain unclear. OBJECTIVE: We attempted to elucidate the effect of heat exposure intervention on anxiety levels in the population and its mechanism. METHODS: We first carried out a randomized controlled trial in 20 college students in Beijing, China, to observe the results of the effects of heat exposure intervention on human anxiety. Then, we collected blood samples before and after heat exposure experiment and used metabolomic and transcriptomic approaches to quantify serum metabolites and ELISA measurements to explore the underlying mechanisms. RESULTS: We found that even 1.5-hour heat exposure intervention significantly increased anxiety levels. Heat stress-induced anxiety was mediated by the activation of the HPA axis, inflammation, oxidative stress, and subsequently unbalanced neurotransmitters. Metabolites such as BDNF, GABA, and glucocorticoids released by the adrenal glands are biomarkers of heat stress-induced anxiety. CONCLUSIONS: We have demonstrated a causal link between heat stress and anxiety, explored possible biological pathway between heat stress and anxiety. Heat stress can cause the activation of the HPA axis and lead to changes in the body’s metabolism, resulting in a series of changes such as inflammation and oxidative stress, leading to anxiety. This study reveals hidden health cost of climate change that has been underexplored, and also reminds us the importance of immediate climate actions.
Excessive relative humidity (RH) in combination with high temperature can lead to heat stress, often measured by the Wet Bulb Globe Temperature (WBGT). The Clausius-Clapeyron (CC) relationship implies that warming reduces RH if no extra moisture is added. Over coastal regions like eastern Asia, however, the predominant summer monsoon favours increased moisture transport from surrounding oceans as a result of enhanced evaporation driven by surface temperature increase. This would lessen the RH reduction by potentially two-thirds. Based on two ensembles of climate model simulations, this paper examines the competing effects of near-surface temperature, humidity and circulation patterns in this region and the consequential health risks. Under a high emissions scenario (RCP8.5/SSP5-8.5), surface temperature could increase by 4 – 7 degrees C with WBGT increases of several degrees by the end of the 21st century. Devastating extreme heat health events could therefore become a frequent occurrence as a result. Overall, our results show how humidity can be just as important as temperature when considering the risks to society of excessive heat.
AimExtreme heat events caused by climate change continue to increase in frequency, duration, and intensity. People living in cities in particular are exposed to heat as a result of the urban heat island effect. Although negative effects can be mitigated by heat health action plans (HHAPs), it remains unknown how many German cities have implemented such plans or other measures to reduce the health risks from heat. Therefore, this study surveyed the status of planned or published HHAPs and measures in German cities.Subject and methodsApproximately 10% of German cities with the greatest population density were sampled for the study (n = 70 cities). A frequency analysis of city concepts and city webpages was conducted to determine whether cities have already introduced concepts for climate adaptation, climate protection or an HHAP, and which measures are planned in detail.ResultsFifty-one cities have implemented measures to protect health from heat events. Forty-one cities integrated such measures into concepts, and only one city formulated an HHAP. Large cities in particular published measures. Long-term measures proved most common, for example, improved building envelope insulation and urban greening. Other than advice on individual behavior, hardly any acute heat health measures are being taken.ConclusionPublic health authorities can play an active role in communicating the health risks of heat and implementing HHAPs. To this end, the health risks of climate change need to be addressed consistently by all policy fields in Germany. There is also a need for further research in the evaluation of measures and HHAPs.
OBJECTIVE: To explore the relationship between occupational heat exposure, physiological heat strain indicators and adverse outcomes in pregnant women. DESIGN: Prospective cohort. SETTING: Workplaces in Tamil Nadu, India. SAMPLE: A cohort of 800 pregnant women engaged in moderate to heavy physical work in 2017-2019 and 2021-2022. METHODS: Participants were recruited at between 8 and 14 weeks of gestation. Occupational heat exposure and heat strain indicators were captured each trimester. ‘Heat exposed’ was defined as heat stress exceeding the threshold limit value (TLV) for safe manual work (with maximum wet-bulb globe temperatures of 27.5°C for a heavy workload and 28.0°C for a moderate workload). Physiological heat strain indicators (HSIs) such as core body temperature (CBT) and urine specific gravity (USG) were measured before and after each shift. Heat-related health symptoms were captured using the modified HOTHAPS questionnaire. MAIN OUTCOME MEASURES: The main outcome measures included (1) a composite measure of any adverse pregnancy outcome (APO) during pregnancy (including miscarriage, preterm birth, low birthweight, stillbirth, intrauterine growth restriction and birth defects), (2) a composite measure of adverse outcomes at birth (3) and miscarriage. RESULTS: Of the 800 participants, 47.3% had high occupational heat exposure. A rise in CBT was recorded in 17.4% of exposed workers, and 29.6% of workers experienced moderate dehydration (USG ≥ 1.020). Heat-exposed women had a doubled risk of miscarriage (adjusted odds ratio, aOR 2.4; 95% confidence interval, 95% CI 1.0-5.7). High occupational heat exposure was associated with an increased risk of any adverse pregnancy and foetal outcome (aOR 2.3; 95% CI 1.4-3.8) and adverse outcome at birth (aOR 2.0; 95% CI 1.2-3.3). CONCLUSIONS: High occupational heat exposure is associated with HSIs and adverse pregnancy outcomes in India.
There is growing attention on occupational heat stress in Central America, as workers in this region are affected by a unique form of chronic kidney disease. Previous studies have examined wet bulb globe temperatures and estimated metabolic rates to assess heat stress, but there are limited data characterizing heat strain among these workers. OBJECTIVE: The aims were to characterize heat stress and heat strain and examine whether job task, break duration, hydration practices, and kidney function were associated with heat strain. METHODS: We used data from the MesoAmerican Nephropathy Occupational Study, a cohort of 569 outdoor workers in El Salvador and Nicaragua who underwent workplace exposure monitoring, including continuous measurement of core body temperature (T(c)), heart rate (HR), physical activity, and wet bulb globe temperature (WBGT), over the course of three days in January 2018 – May 2018. Participants represented five industries: sugarcane, corn, plantain, brickmaking, and construction. RESULTS: Median WBGTs were relatively high (>27 °C) at most sites, particularly when work shifts spanned the afternoon hours (e.g., 29.2 °C among plantain workers). Sugarcane workers, especially cane cutters in both countries and Nicaraguan agrichemical applicators, had the highest estimated metabolic rates (medians: 299-318 kcal/hr). Most workers spent little time on break (<10% of the shift), as determined by physical activity data. Overall, sugarcane workers-particularly those in Nicaragua-experienced the highest T(c) and HR values. However, a few workers in other industries reached high T(c) (>39 °C) as well. Impaired kidney function (estimated glomerular filtration rate <90 mL/min/1.73 m(2)) was associated with higher T(c) and HR values, even after adjustment. SIGNIFICANCE: This is the largest study to-date examining heat stress and strain among outdoor workers in Central America. Workers at sugar companies regularly experienced T(c) > 38°C (76.9% of monitored person-days at Nicaraguan companies; 46.5% at Salvadoran companies). Workers with impaired kidney function had higher measures of T(c) and HR. IMPACT STATEMENT: This study examined levels of occupational heat stress and heat strain experienced among outdoor workers in five industries in El Salvador and Nicaragua. We characterized heat stress using wet bulb globe temperatures and estimated metabolic rate and heat strain using core body temperature and heart rate. Sugarcane workers, particularly cane cutters and Nicaraguan agrichemical applicators, performed more strenuous work and experienced greater levels of heat strain. Impaired kidney function was associated with higher heart rates and core body temperatures.
The observed continuous rise in the frequency of extreme heat events in South America (SA) poses a serious challenge for public health. However, there is a lack on the understanding of the large-scale and long-term variability and trends of thermal stress in this continent. Accordingly, here we developed the first comprehensive bioclimatology of thermal stress over SA during the past four decades. Consecutive heat stress hours were analyzed using the Universal Thermal Climate Index (UTCI) from ERA5-HEAT reanalysis according to the Koppen-Geiger climate classification and also focusing on the 31 most populated cities of SA. Results show an inland/coastline contrast and a marked latitudinal northward increase in the number of hours under heat stress. Heat stress hotspots are located mostly around the Amazon, northern and central parts of SA with 26-35% of the hours between 1979 and 2020 under strong heat stress. The annual number of hours within heat stress increased significantly between 1979 and 2020, varying from + 1.16 h/year to + 8.25 h/year depending on the Koppen-Geiger class. The past 20 years (2000 forward) presented not only more consecutive hours under heat stress than the previous two decades in all the analyzed cities, but also a higher persistence of such conditions. The bioclimatology of thermal stress developed here may provide important guidelines to decision-makers for exploring adaptation strategies to increase societal resilience.
Crop failure is largely caused by various climate hazards, and among them, heat stress is the primary factor hindering crop production. The significant global loss of crop yield is primarily due to heat-related damage during the reproductive phase. Terminal heat stress has been well documented in wheat, causing morphophysiological alterations, biochemical disruptions, and reduction of genetic potential. The formation of shoots and roots, the effect on the double ridge stage, and early biomass in the vegetative stage are also impacted by heat stress. The final negative outcomes of heat stress include reduced grain number and weight, slower grain filling rate, reduced grain quality, and shorter grain filling duration. Plants have developed mechanisms to adapt to heat stress through modifications in their morphological or growth responses, physiological and biochemical pathways, and changes in enzyme reactions. Numerous heat tolerance genes have been identified in wheat, but the more extensive study is needed to increase heat tolerance in crops to satisfy the food demands of the world’s growing population. The global food policy needs to prioritize and promote additional joint research and the development of heat-tolerant wheat breeding to ensure the world’s food security.
Average global temperatures continue to trend upward, and this phenomenon is part of the more complex climate change taking place on our planet over the past century. Human health is directly affected by environmental conditions, not only because of communicable diseases that are clearly affected by climate, but also because of the relationship between rising temperatures and increased morbidity for psychiatric diseases. As global temperatures and the number of extreme days increase, so does the risk associated with all those acute illnesses related to these factors. For example, there is a correlation between out-of-hospital cardiac arrest and heat. Then, there are pathologies that recognize excessive heat as the main etiological agent. This is the case with so-called “heat stroke”, a form of hyperthermia accompanied by a systemic inflammatory response, which causes multi-organ dysfunction and sometimes death. Starting with a case that came to their attention of a young man in good general health who died while working unloading fruit crates from a truck, the authors wanted to express some thoughts on the need to adapt the world of work, including work-specific hazards, in order to protect the worker exposed to this “new risk” and develop multidisciplinary adaptation strategies that incorporate climatology, indoor/building environments, energy use, regulatory perfection of work and human thermal comfort.
Stressors are especially widespread in urban agglomerations. Common themes of built environment interventions that support health and well-being are blue and green infrastructure, indoor and outdoor air quality, thermal comfort, access to natural lighting, and acoustics. Given the current megatrends of increasing summer temperatures and the high popularity of home offices, we aimed at modeling thermal comfort changes of people working at home in three Austrian cities (Vienna, Innsbruck, and Graz) during the next decades until 2090. We present findings based on (I) an inter-disciplinary literature search and (II) indoor and outdoor climate simulations for actual and future climate scenarios. Based on the results, we discuss the potential impacts for work and human health and well-being, and we suggest a framework for the home office in “post-COVID-19 Austria” that integrates social, ecological, and economic aspects. The results of our study indicate that, in future climate scenarios, overheating of the interior can no longer be prevented without active cooling measures and nature-based solutions. Recommendations on the adjustment of behavior under climate change, including greening, adequate ventilation, and cooling techniques, are thus urgently needed for employees who are working from home in order to maintain physical and mental health and wellbeing.
PURPOSE OF REVIEW: Wildfire smoke is associated with human health, becoming an increasing public health concern. However, a comprehensive synthesis of the current evidence on the health impacts of ambient wildfire smoke on children and adolescents, an exceptionally vulnerable population, is lacking. We conduct a systematic review of peer-reviewed epidemiological studies on the association between wildfire smoke and health of children and adolescents. RECENT FINDINGS: We searched for studies available in MEDLINE, EMBASE, and Scopus from database inception up to October 11, 2022. Of 4926 studies initially identified, 59 studies from 14 countries were ultimately eligible. Over 33.3% of the studies were conducted in the USA, and two focused on multi-countries. The exposure assessment of wildfire smoke was heterogenous, with wildfire-specific particulate matters with diameters ≤ 2.5 µm (PM(2.5), 22.0%) and all-source (22.0%) PM(2.5) during wildfire period most frequently used. Over half of studies (50.6%) focused on respiratory-related morbidities/mortalities. Wildfire smoke exposure was consistently associated with enhanced risks of adverse health outcomes in children/adolescents. Meta-analysis results presented a pooled relative risk (RR) of 1.04 (95% confidence interval [CI], 0.96-1.12) for all-cause respiratory morbidity, 1.11 (95% Ci: 0.93-1.32) for asthma, 0.93 (95% CI, 0.85-1.03) for bronchitis, and 1.13 (95% CI, 1.05-1.23) for upper respiratory infection, whilst - 21.71 g for birth weight (95% CI, - 32.92 to - 10.50) per 10 µg/m(3) increment in wildfire-specific PM(2.5)/all-source PM(2.5) during wildfire event. The majority of studies found that wildfire smoke was associated with multiple adverse health outcomes among children and adolescents, with respiratory morbidities of significant concern. In-utero exposure to wildfire smoke may increase the risk of adverse birth outcomes and have long-term impacts on height. Higher maternal baseline exposure to wildfire smoke and poor family-level baseline birthweight respectively elevated risks in preterm birth and low birth weight associated with wildfire smoke. More studies in low- and middle-income countries and focusing on extremely young children are needed. Despite technological progress, wildfire smoke exposure measurements remain uncertain, demanding improved methodologies to have more precise assessment of wildfire smoke levels and thus quantify the corresponding health impacts and guide public mitigation actions.
Climate vulnerability can make urban space unhealthy and accentuate existing health (in)justice and (economic) segregation. Drawing on the vulnerability-readiness nexus and measuring health justice (i.e., health poverty, health distribution, and health access) and economic segregation (through indices), we strive to investigate the plausible pathways of the two constructs at the heat risks. Our work, focusing on metropolitan cities in South Korea, addresses the role of heat vulnerability and readiness nexus regarding health justice and economic segregation through correlational analysis and a time-trend comparative approach between 2011 and 2015 (as five year-long effects). Our results show that potential positive links exist between health poverty as a component of health justice and economic segregation. Moreover, climate readiness, as opposed to vulnerability, plays a crucial role in reducing economic segregation in the context of health justice and heat risks.
Forcibly displaced populations are among the most vulnerable groups in disasters. They experience poorer health conditions compared with nondisplaced individuals. However, a clear picture is lacking regarding the overall health problems encountered by disaster-induced mid- to long-term displaced people. This study investigated these disorders prevalence and identified their correlates among long-settled displaced populations worldwide. The current scoping review follows the PRISMA-ScR guidelines; a systematic search was conducted on PubMed, Web of Science, and CINAHL and included original peer-reviewed studies, commentary, reviews, and grey literature published in English between January 1990 to June 2022. In the thematic and content analysis, the authors applied the narrative review approach to identify themes and sub-themes. Forty-eight documents were identified as fully relevant to this study. The largest number of published papers were from Asia, followed by the Middle East, the United States, and Europe. IDPs in developed countries were the most researched populations. Human-made disasters were addressed by 89% of the included studies. The four main thematic categories included were “physical health,” “mental health,” “inadequate facilities,” and “lack of healthy behaviour.” The worsening of noncommunicable diseases had the highest prevalence, followed by communicable diseases. Due to their condition, forcibly displaced migrants face a triple burden of communicable diseases and noncommunicable diseases such as mental health issues. Health-related research and policy need to consider the links among disasters, health problems, and forced migration as a determinant of health in the new era of climate change-driven displacements.
Continuous global warming and frequent extreme high temperatures keep the urban climate health risk increasing, seriously threatening residents’ emotional health. Therefore, analysis on spatial distribution of the health risk that the urban heat island (UHI) effect imposes on emotional health as well as basic research on the characteristics of vulnerable populations need to be conducted. This study, with Tianjin city as the case, analyzed data from Landsat remote-sensing images, meteorological stations, and digital maps, explored the influence of summer UHI effect on distress (a typical negative emotion factor) and its spatiotemporal evolution, and conducted difference analysis on the age groups, genders, family state, and distress levels of vulnerable populations. The results show: (1) During the period of 1992-2020, the level and area of UHI influence on residents’ distress drastically increased-influence level elevated from level 2-4 to level 4-7, and highlevel influence areas were concentrated in six districts of central Tianjin. (2) Influence of the UHI effect on distress varied in different age groups-generally dropping with fluctuations as residents got older, especially residents aged 50-59. (3) Men experienced a W-shaped pattern in distress and were more irritable and unsteady emotionally; while women were more sensitive to distress in the beginning, but they became more placid as temperature got higher. (4) Studies on family status show that couples living together showed sound heat resistance in the face of heat stress, while middle-aged and elderly people living alone or with children were relatively weak in adjusting to high ambient temperature.
Epidemiological studies have provided compelling evidence of associations between temperature variability (TV) and health outcomes. However, such studies are limited in developing countries. This study aimed to investigate the relationship between TV and hospital admissions for cause-specific diseases in South Africa. Hospital admission data for cardiovascular diseases (CVD) and respiratory diseases (RD) were obtained from seven private hospitals in Cape Town from 1 January 2011 to 31 October 2016. Meteorological data were obtained from the South African Weather Service (SAWS). A quasi-Poisson regression model was used to investigate the association between TV and health outcomes after controlling for potential effect modifiers. A positive and statistically significant association between TV and hospital admissions for both diseases was observed, even after controlling for the non-linear and delayed effects of daily mean temperature and relative humidity. TV showed the greatest effect on the entire study group when using short lags, 0-2 days for CVD and 0-1 days for RD hospitalisations. However, the elderly were more sensitive to RD hospitalisation and the 15-64 year age group was more sensitive to CVD hospitalisations. Men were more susceptible to hospitalisation than females. The results indicate that more attention should be paid to the effects of temperature variability and change on human health. Furthermore, different weather and climate metrics, such as TV, should be considered in understanding the climate component of the epidemiology of these (and other diseases), especially in light of climate change, where a wider range and extreme climate events are expected to occur in future.
Climate change poses an unequivocal threat to the respiratory health of current and future generations. Human activities-largely through the release of greenhouse gases-are driving rising global temperatures. Without a concerted effort to mitigate greenhouse gas emissions or adapt to the effects of a changing climate, each increment of warming increases the risk of climate hazards (eg, heat waves, floods, and droughts) that that can adversely affect allergy and immunologic diseases. For instance, wildfires, which release large quantities of particulate matter with a diameter of less than 2.5 μm (an air pollutant), occur with greater intensity, frequency, and duration in a hotter climate. This increases the risk of associated respiratory outcomes such as allergy and asthma. Fortunately, many mitigation and adaptation strategies can be applied to limit the impacts of global warming. Adaptation strategies, ranging from promotions of behavioral changes to infrastructural improvements, have been effectively deployed to increase resilience and alleviate adverse health effects. Mitigation strategies aimed at reducing greenhouse gas emissions can not only address the problem at the source but also provide numerous direct health cobenefits. Although it is possible to limit the impacts of climate change, urgent and sustained action must be taken now. The health and scientific community can play a key role in promoting and implementing climate action to ensure a more sustainable and healthy future.
An integrated environmental, economic, and health-informed approach was developed as a decision making framework to assess the associated benefits of enriching the urban greenery cover to provide city cooling potential. The framework used an evidence-based statistical-simulation approach to support decision-making processes associated with heat mitigation strategies. A novel health-informed statistical modeling was developed by introducing log-linear Poisson regression based on clustering factors to increase model fit, control dataset overdispersion, and enhance model prediction. The statistical model was utilized to predict mortality records and emergency department visits based on changes in heat behavior. Microclimate simulations were developed utilizing an updated version of the Urban Weather Generator to assess the impacts of increasing greenery cover in York Region, Southern Ontario, Canada on ambient temperature, outdoor heat stress, and buildings’ energy consumption. The heat-based health predictions of the York Region community confirmed the possible hazardous impact of climate change on health and the impact of extreme heat on mortality records and health system use. By intensifying the urban greenery cover, the results demonstrated significant reductions in ambient temperature, outdoor heat stress, neighborhood average daily energy use, expected mortality counts, and emergency department visits. The economic module has reported the expected benefits in terms of lower visits to emergency departments, avoiding premature mortality, reduced energy consumption, and reduced productivity losses. The proposed framework was developed as a flexible decision-making tool for policy-makers and stakeholders to assess environmental, economic, and health benefits of heat mitigation strategies within urban contexts.
Extreme heat, also known as the silent killer that conceal its lethal effect behind heat-related deaths, has become one of the deadliest natural hazards globally. However, the evaluation of heat risks in many countries remains incomplete, overlooking an important component on population health conditions in the evaluation framework. Drawing on the IPCC’s risk assessment framework, this study presents, for the first time, a comprehensive heat health risk assessment in Australian capital cities, consisting of three individual indexes-the heat exposure index, heat hazard index and heat vulnerability index-at the finest census unit, and an overall heat health risk index (HHRI). By involving health-related indicators in heat risk assessment, our evaluation takes into account people’s sensitivity to heat in developing the heat health risk indexes. Using the HHRI, we identify high heat risk areas appearing primarily in higher density residential areas with some distances away from the inner cities. We also find that the inequity of demographic and socioeconomic characteristics, housing features, and built envi-ronment features exists in areas with different levels of heat risks. Our findings contribute not only to profiling heat risks in Australian cities, but also empirically advance our understanding of place-based risk reduction in the Southern Hemisphere by linking climate science with health and spatial science research.
AimClimate change and air pollution exposures are global issues impacting human health. This scoping review aims to synthesize evidence on the health-related impacts of climate change and air pollution exposures on immigrant and refugee populations younger than 18 and 65 years and older, and to determine if the impacts are influenced by age, immigrant category, gender, and/or geographical location.Subject and methodsDatabases were searched from inception to July 2022 and included PROSPERO, OVID Medline, OVID EMBASE, Wiley Cochrane Library (CDSR and Central), Proquest Dissertations and Theses Global and SCOPUS. All time frames, languages, and geographic locations were included. Types of evidence sources included were reviews (e.g. scoping, systematic, clinical), books, and descriptive (e.g., ecological) and analytical (e.g. case-control, cross-sectional and cohort) studies.ResultsThree studies fit the criteria. All used secondary data sources, different study designs and analysis approaches and defined immigrants, refugees, and exposures differently. Only climate change exposures (excessive temperatures) were explored, with mortality and respiratory syncytial virus outcomes. Two articles found that foreign-born and non-US citizens 65 years and older were similarly or less susceptible compared to native-born, but younger individuals were more susceptible. The other found that higher temperatures were associated with higher respiratory syncytial virus incidence in refugee children younger than 5 years old. If stratification was done, only sex, age, race, ethnicity, and place of birth were examined.ConclusionsImmigrants and refugees are understudied in the literature and often excluded. Additional research is needed to determine other exposures and health outcomes for immigrant and refugee populations.
Climate extremes and rising energy prices present interconnected global health risks. Technical solutions can be supplemented with biomedical approaches to promote healthy longevity in hot and cold conditions. In summer, reducing basal metabolic rate through mild caloric restriction or CR mimetics, such as resveratrol, can potentially be used to lower body temperature. In winter, activating brown adipose tissue (BAT) for non-shivering thermogenesis and improved metabolic health can help adaptation to colder environments. Catechins found in green tea and in other food could be alternatives to drugs for these purposes. This review examines and discusses the biomedical evidence supporting the use of CR mimetics and BAT activators for health benefits amid increasingly extreme temperatures.
Climate change threatens the health of all Australians: without adaptation, many areas may become unlivable, in particular the tropical north. The Northern Territory (NT) health workforce is already under colliding operational pressures worsened by extreme weather events, regional staff shortages and infrastructure that is poorly adapted to climate change. The H3 Project (Healthy Patients, Workforce and Environment) explores nature-based interventions in the NT health sector aiming to strengthen the resilience and responsiveness of health infrastructure and workforce in our climate-altered future. The H3 Project engaged the health workforce, climate researchers and the wider community, in recognition that meaningful and timely climate action requires both organization-led and grassroots engagement. We recruited campus greening volunteers and sustainability champions to Royal Darwin Hospital (RDH) to develop strategies that enhance climate adaptation, build climate and health literacy, and incentivize active mobility. We implemented low-cost biophilic design within the constraints of legacy healthcare infrastructure, creating cool and restorative outdoor spaces to mitigate the impacts of heat on RDH campus users and adapt to projected warming. This case study demonstrated substantial cooling impacts and improved local biodiversity and hospital campus aesthetics. We collaborated with Indigenous healers and plant experts to harness the synergy between Aboriginal people’s traditional knowledge and connectedness to land and the modern concept of biophilic design, while seeking to improve hospital outcomes for Indigenous patients who are both disconnected from their homelands and disproportionately represented in NT hospitals.
PURPOSE: Climate change is considered to be the greatest threat to human health in the 21st century, and its effects are accelerating. Extensive research has clearly demonstrated its increasing impact across the continuum of health conditions. Despite this, there has been limited attention to the ramifications of climate change on hearing loss and hearing disorders. This lack of consideration is somewhat surprising as the environment itself and its changing nature have a substantial effect on hearing. METHOD: Tackling climate change could be the greatest global health opportunity of the 21st century. To address this issue, this tutorial provides a general introduction to climate change and its three major elements (pollution, infectious diseases, and extreme weather events) and their effects on health. The substantial consequences of climate change for the incidence, development, and exacerbation of hearing loss and disorders are clearly described and detailed. CONCLUSIONS: The challenge of responding to this very real and escalating threat to hearing requires a combination of prevention, advocacy, and education. These three roles place audiologists in the perfect position to take action on the far-reaching effects of climate change on hearing loss and disorders. To respond to this challenge and to fulfill these roles, several strategies, ranging from the individual level to the global level, are delineated for audiologists to incorporate into their practice.
The co-occurrence of more frequent, intense and prolonged heat and drought events can lead to severe socio-economic impacts. The integration of different types of urban green infrastructures (GIs; e.g., urban parks and building greens), and urban and building design measures (DMs; e.g., a network of cool urban spaces and passive cooling), at various scales, can help reduce outdoor air temperature, energy use and heat stress. Numerous accessible or emerging GI and DM solutions exist, highlighting the need for guidelines that evaluate their suitability in enhancing resilience to extreme heat. Those should consider broader aspects such as geographical conditions, urban morphology and development, social-economic background, governance and sustainability, as well as more specific considerations like maintenance, adaptability and soil and water resources. To facilitate decision-making, this study proposes guidelines based on a narrative literature review, discussing the potential impact of GIs and DMs and their role in enhancing the city’s climate resilience.
Marine heatwaves (MHWs) have doubled in frequency since the 1980s and are projected to be exacerbated during this century. MHWs have been shown to trigger harmful algal blooms (HABs), with severe consequences to marine life and human populations. Within this context, this study aims to understand, for the first time, how MHWs impact key biological and toxicological parameters of the paralytic shellfish toxin (PST) producer Gymnodinium catenatum, a dinoflagellate inhabiting temperate and tropical coastal waters. Two MHW were simulated-category I (i.e., peak: 19.9 °C) and category IV (i.e., peak: 24.1 °C)-relative to the estimated baseline in the western coast of Portugal (18.5 °C). No significant changes in abundance, size, and photosynthetic efficiency were observed among treatments. On the other hand, chain-formation was significantly reduced under category IV MHW, as was PSP toxicity and production of some PST compounds. Overall, this suggests that G. catenatum may have a high tolerance to MHWs. Nevertheless, some sublethal effects may have occurred since chain-formation was affected, suggesting that these growth conditions may be sub-optimal for this population. Our study suggests that the increase in frequency, intensity, and duration of MHWs may lead to reduced severity of G. catenatum blooms.
With climate change, the COVID-19 pandemic, and ongoing conflicts, food systems and the diets they produce are facing increasing fragility. In a turbulent, hot world, threatened resiliency and sustainability of food systems could make it all the more complicated to nourish a population of 9.7 billion by 2050. Climate change is having adverse impacts across food systems with more frequent and intense extreme events that will challenge food production, storage, and transport, potentially imperiling the global population’s ability to access and afford healthy diets. Inadequate diets will contribute further to detrimental human and planetary health impacts. At the same time, the way food is grown, processed, packaged, and transported is having adverse impacts on the environment and finite natural resources further accelerating climate change, tropical deforestation, and biodiversity loss. This state-of-the-science iterative review covers three areas. The paper’s first section presents how climate change is connected to food systems and how dietary trends and foods consumed worldwide impact human health, climate change, and environmental degradation. The second area articulates how food systems affect global dietary trends and the macro forces shaping food systems and diets. The last section highlights how specific food policies and actions related to dietary transitions can contribute to climate adaptation and mitigation responses and, at the same time, improve human and planetary health. While there is significant urgency in acting, it is also critical to move beyond the political inertia and bridge the separatism of food systems and climate change agendas that currently exists among governments and private sector actors. The window is closing and closing fast.
Globally, diet quality is poor, with populations failing to achieve national dietary guidelines. Such failure has been consistently linked with malnutrition and poorer health outcomes. In addition to the impact of diet on health outcomes, it is now accepted that what we eat, and the resulting food system, has significant environmental or planetary health impacts. Changes are required to our food systems to reduce these impacts and mitigate the impact of climate change on our food supply. Given the complexity of the interactions between climate change, food and health, and the different actors and drivers that influence these, a systems-thinking approach to capture such complexity is essential. Such an approach will help address the challenges set by the UN 2030 Agenda for sustainable development in the form of the sustainable development goals (SDG). Progress against SDG has been challenging, with an ultimate target of 2030. While the scientific uncertainties regarding diet and public and planetary health need to be addressed, equal attention needs to be paid to the structures and systems, as there is a need for multi-level, coherent and sustained structural interventions and policies across the full food system/supply chain to effect behaviour change. Such systems-level change must always keep nutritional status, including impact on micronutrient status, in mind. However, benefits to both population and environmental health could be expected from achieving dietary behaviour change towards more sustainable diets.
The deepening climate crisis generates specific impacts that will exacerbate the already disproportionately negative health outcomes experienced by Indigenous people. Disparate health outcomes have not spontaneously emerged, but rather have been foreshadowed by existing inequities. This article summarizes a sample of the work from a two-year research project in Aotearoa New Zealand to understand existing policy processes and ascertain the extent to which health institutions give serious consideration to climate change impacts on Maori (Indigenous people) with health vulnerabilities. Speaking to tangata whenua (Indigenous Maori), District Health Board (DHB) employees, and subject matter experts (SMEs), it was clear that policy processes were ad hoc and problematically silenced consistent Maori input. While research participants expressed their experiences of, and aspirations for, dealing with climate change, their voices were not evident in DHB policy development processes. The deficit within existing policy process reflects a lack of preparedness in the face of climate change. Despite clear resilience and adaptation strategies, structural change is needed to address identified disadvantages. Through a co-designed policy framework (“Haumanu Hauora”), we guide policy formation to mitigate climate change risk to Maori (and others). Central to the revised policy framework is the creation of space for both internal and external Maori voices to ensure consistent Maori input throughout the policy process. We also introduce a commissioning, refining, and monitoring stage (that includes evaluation). Haumanu Hauora considers whanau-centered healthcare knowledge, needs, resources, and aspirations, to contribute to a transformed and responsive health system. Above all, we believe that strengthening health institution responsiveness to Maori health needs is essential.
Global climate change has increased the probability and intensity of extreme weather events. The adverse health effect of extreme temperature has gone through a temporal variation over years. Time-series data including city-level daily cardiovascular death records and meteorological data were collected from 136 Chinese cities during 2006 and 2019. A time-varying distributed lag model with interaction terms was applied to assess the temporal change of mortality risk and attributable mortality of heat wave and cold spell. The mortality effect of heat wave generally increased and that of cold spell decreased significantly in the total population during the study period. The heat wave effect increased especially among the female and people aged 65 to 74. As for the cold spell, the reduced susceptibility was detected both in the temperate and cold climatic zone. Our findings appeal for counterpart measures corresponding to sub-populations and regions responding to future extreme climate events from the public and individuals.
Recent extreme weather events attributable to climate change have major implications for policy. Here we summarize and evaluate the current state of climate change adaptation policy, from a health perspective, for Aotearoa New Zealand, based on government sources. Legislation relating to both environmental management and health are currently subject to major reforms. At present, adaptation policy emphasises protection of health care facilities from climate extremes; there is insufficient attention paid to broader determinants of health. We argue for greater health input into adaptation planning. Without intersectoral collaboration, contributions from diverse communities, and better support of indigenous solutions, climate change policy is unlikely to achieve effective health outcomes and there is a risk that climate change will exacerbate inequities. We recommend that the Climate Change Commission engage formally and directly with health bodies to strengthen the Commission’s advice on the implications of climate change, and of national climate change policies, on health and equity. Climate resilient development does not occur without better public health. For this reason, the health sector has a critical role in the development and implementation of adaptation policy.
PM(2.5) emissions from heavy-duty diesel trucks (HDDTs) have a significant impact on air quality, human health, and climate change, and seriously threaten the UN Sustainable Development Goals. Globally, a series of emission control measures have been implemented to reduce pollution emissions from HDDTs. Current studies assessing the impact of these measures on air quality and human health have mainly used coarse-grained emission data as input to dispersion model, resulting in the inability to capture the spatiotemporal variability of pollutant concentrations and tending to increase the uncertainty of health impact assessment results. In this study, we quantified the impact of pollution control policies for HDDTs in Beijing on PM(2.5) concentrations, human health, and economic losses by integrating policy scenario analysis, pollution dispersion simulation, public health impact and economic benefit assessment models, supported by high spatiotemporal resolution emission data from HDDTs. The results show that PM(2.5) concentrations from HDDTs exhibit significant spatial aggregation characteristics, with the intensity of aggregation at night being about twice as high as that during the day. The emission hotspots are mainly concentrated in the sixth, fifth and fourth rings and major highways. Compared to the “business as usual” scenario in 2018, the current policy of updating the fuel standard to China VI and the emission standard to China 6 can reduce PM(2.5) concentrations by 96.72%, thereby avoiding 612 premature deaths, which is equivalent to obtaining economic benefits of 1.65 billion CNY. This study further emphasizes the importance of high spatiotemporal resolution emission data during traffic dispersion modeling. The results can help improve the understanding of the effectiveness of emission reduction measures for HDDTs from a health benefit perspective.
Understanding the role of how people are housed in reducing the long-term health and housing effects of climate-related disasters is crucial given our changing climate. We examine long-term health and housing trajectories and health effects of climate-related disasters in relation to housing vulnerabilities over a decade. METHODS: We conducted a matched case-control study using longitudinal population-based data from the Household, Income and Labour Dynamics in Australia survey. We included data from people whose homes had been damaged by climate-related disasters (eg, flood, bushfire, or cyclone) between 2009 and 2019 and matched control cohorts with similar sociodemographic profiles who had not been exposed to disaster-related home damage during this period. We included data from de-identified individuals with at least 1 year of data before disaster and 3 years after disaster. One-to-one nearest neighbour matching was performed on the basis of demographic, socioeconomic, housing, health, neighbourhood, location, and climate characteristics 1 year before disaster. Conditional fixed-effects models for matched case-control groups were used to assess health trajectories, using eight quality-of-life domains on mental, emotional, social, and physical wellbeing, and housing trajectories, using three housing aspects of cost (ie, housing affordability and fuel poverty), security (ie, residential stability and tenure security), and condition (ie, housing quality and suitability). FINDINGS: Exposure to home damage from climate-related disasters had significant negative effects on people’s health and wellbeing at disaster year (difference between exposure and control groups in mental health score was -2·03, 95% CI -3·28 to -0·78; in social functioning score was -3·95, -5·57 to -2·33; and in emotional wellbeing score was -4·62, -7·06 to -2·18), with some effects lasting for 1-2 years after disaster. These effects were more severe for people who had housing affordability stress or were living in poor quality housing before the disaster. People in the exposure group had a slight increase in housing and fuel payment arrears following disasters. Homeowners had increased housing affordability stress (1 year after disaster: 0·29, 95% CI 0·02 to 0·57; 2 years after disaster: 0·25, 0·01 to 0·50), renters had a higher prevalence of acute residential instability (disaster year: 0·27, 0·08 to 0·47), and people who were exposed to disaster-related home damage had a higher prevalence of forced moves than did the control group (disaster year: 0·29, 0·14 to 0·45). INTERPRETATION: Findings support the need for recovery planning and resilience building to consider housing affordability, tenure security, and housing condition. Interventions might require divergent strategies for populations in different precarious housing circumstances, and policies should target long-term housing support services for highly vulnerable groups. FUNDING: The National Health and Medical Research Council Centre of Research Excellence in Healthy Housing, University of Melbourne Affordable Housing Hallmark Research Initiative Seed Funding, Australian Research Council’s Centre of Excellence for Children and Families over the Life Course, and Lord Mayor’s Charitable Foundation.
Using the difference-in-difference (DID) method, this study uses Typhoon Morakot, which occurred in August 2009, as an example to estimate the effect of flooding on health care cost burden. The main data source is the medical claims records of a cohort of three million patients in Taiwan’s National Health Insurance system. By examining flood-related physiological diseases and disaster-related mental illnesses, our results indicate that the increase in outpatient health care costs resulting from the flood caused by the typhoon is approximately NTD 8.95 billion (USD 280 million), equivalent to approximately 69% of the annual special budget for flooding prevention during the period 2006-2019 in Taiwan. Moreover, the increase in outpatient expenditure for mental illnesses is nearly 10 times that of physiological diseases. An important implication of our findings is that the cost of preventing natural disasters, such as floods, can be offset by saving health care costs, particularly for mental illnesses. Our results also suggest that in addition to providing safe drinking water and indoor residual spraying, offering continuous postdisaster mental health services can further save health care expenditures caused by natural disasters.
More intense cyclones are expected in the future as a result of climate change. A comprehensive review is urgently needed to summarize and update the evidence on the health effects of cyclones. OBJECTIVES: We aimed to provide a systematic review with meta-analysis of current evidence on the risks of all reported health outcomes related to cyclones and to identify research gaps and make recommendations for further research. METHODS: We systematically searched five electronic databases (MEDLINE, Embase, PubMed, Scopus, and Web of Science) for relevant studies in English published before 21 December 2022. Following the Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) guidelines, we developed inclusion criteria, screened the literature, and included epidemiological studies with a quantitative risk assessment of any mortality or morbidity-related outcomes associated with cyclone exposures. We extracted key data and assessed study quality for these studies and applied meta-analyses to quantify the overall effect estimate and the heterogeneity of comparable studies. RESULTS: In total, 71 studies from eight countries (the United States, China, India, Japan, the Philippines, South Korea, Australia, Brazil), mostly the United States, were included in the review. These studies investigated the all-cause and cause-specific mortality, as well as morbidity related to injury, cardiovascular diseases (CVDs), respiratory diseases, infectious diseases, mental disorders, adverse birth outcomes, cancer, diabetes, and other outcomes (e.g., suicide rates, gender-based violence). Studies mostly included only one high-amplitude cyclone (cyclones with a Saffir-Simpson category of 4 or 5, i.e., Hurricanes Katrina or Sandy) and focused on mental disorders morbidity and all-cause mortality and hospitalizations. Consistently elevated risks of overall mental health morbidity, post-traumatic stress disorder (PTSD), as well as all-cause mortality or hospitalizations, were found to be associated with cyclones. However, the results for other outcomes were generally mixed or limited. A statistically significant overall relative risk of 1.09 [95% confidence interval (CI): 1.04, 1.13], 1.18 (95% CI: 1.12, 1.25), 1.15 (95% CI: 1.13, 1.18), 1.26 (95% CI: 1.05, 1.50) was observed for all-cause mortality, all-cause hospitalizations, respiratory disease, and chronic obstructive pulmonary disease hospitalizations, respectively, after cyclone exposures, whereas no statistically significant risks were identified for diabetes mortality, heart disease mortality, and preterm birth. High between-study heterogeneity was observed. CONCLUSIONS: There is generally consistent evidence supporting the notion that high-amplitude cyclones could significantly increase risks of mental disorders, especially for PTSD, as well as mortality and hospitalizations, but the evidence for other health outcomes, such as chronic diseases (e.g., CVDs, cancer, diabetes), and adverse birth outcomes remains limited or inconsistent. More studies with rigorous exposure assessment, of larger spatial and temporal scales, and using advanced modeling strategy are warranted in the future, especially for those small cyclone-prone countries or regions with low and middle incomes. https://doi.org/10.1289/EHP12158.
Climate change and its respective environmental impacts, such as dying lakes, is widely acknowledged. Studies on the impact of shrinking hyper-saline lakes suggest severe negative consequences for the health of the affected population. The primary aim was to investigate the relationship between changes in the water level of the hyper-saline Lake Urmia, along with the associated salt release, and the prevalence of hypertension and the general state of health of the local population in Shabestar County north of the lake. Moreover, we sought to map the vulnerability of the local population to the health risks associated with salt-dust scatter using multiple environmental and demographic characteristics. We applied a spatiotemporal analysis of the environmental parameters of Lake Urmia and the health of the local population. We analyzed health survey data from local health care centers and a national STEPS study in Shabestar County, Iran. We used a time-series of remote sensing images to monitor the trend of occurrence and extent of salt-dust storms between 2012 and 2020. To evaluate the impacts of lake drought on the health of the residences, we investigated the spatiotemporal correlation of the lake drought and the state of health of local residents. We applied a GIScience multiple decision analysis to identify areas affected by salt-dust particles and related these to the health status of the residents. According to our results, the lake drought has significantly contributed to the increasing cases of hypertension in local patients. The number of hypertensive patients has increased from 2.09% in 2012 to 19.5% in 2019 before decreasing slightly to 16.05% in 2020. Detailed results showed that adults, and particularly females, were affected most by the effects of the salt-dust scatter in the residential areas close to the lake. The results of this study provide critical insights into the environmental impacts of the Lake Urmia drought on the human health of the residents. Based on the results we suggest that detailed socioeconomic studies might be required for a comprehensive analysis of the human health issues in this area. Nonetheless, the proposed methods can be applied to monitor the environmental impacts of climate change on human health.
The complex interconnections between climate change policies and health equity are well established, and policy research to understand the health impacts of climate change in multiple domains is growing. Policy analysis theories/frameworks are an important aspect of policy analysis. Many frameworks exist to understand the health equity considerations in policies across various disciplines and the health impacts of climate change-related policies in the health and climate change sectors. However, a closer examination is required to understand whether there is explicit attention to health equity issues in relation to climate change policies in an integrated way. This systematic review attempted to identify existing health equity-focused policy analysis frameworks for understanding health equity considerations in climate change and public health policies. Eight papers were identified through five database searches. Policy analysis frameworks exploring the integration of health equity and climate change are fragmented, and frameworks encompassing several aspects of the policy-making process could not be found. Problem framing and policy-focused solutions were common approaches to understanding health equity in climate change policies. Concepts of social determinants of health and social justice were central to the intersection of climate change and health equity.
BACKGROUND: Extreme weather events represent one of the most tangible impacts of anthropogenic climate change. They have increased in number and severity and a further increase is expected. This is accompanied by direct and indirect negative consequences for human health. METHODS: Flooding events, storms and droughts are analysed here for Germany from a systemic perspective on the basis of a comprehensive literature review. Cascading risks beyond the initial event are also taken into account in order to depict downstream consequences. RESULTS: In addition to the immediate health burdens caused by extreme weather events such as injuries, long-term consequences such as stress-related mental disorders occur. These stresses particularly affect certain vulnerable groups, e.g. older persons, children, pregnant women or first responders. CONCLUSIONS: A look at the cascading risks described in the international literature allows us to develop precautionary measures for adaptation to the consequences of climate change. Many adaptation measures protect against different risks at the same time. In addition to planning measures, these include, above all, increasing the population’s ability to protect itself through knowledge and strengthening of social networks.
Childhood anemia constitutes a global public health problem, especially in low- and middle-income countries (LMICs). However, it remains unknown whether global warming has an impact on childhood anemia. Here, we examined the association between annual temperatures and childhood anemia prevalence in sub-Saharan Africa and then projected childhood anemia burden attributable to climate change. Each 1°C increment in annual temperature was associated with increased odds of childhood anemia (odd ratio = 1.138, 95% confidence interval: 1.134-1.142). Compared with the baseline period (1985-2014), the attributable childhood anemia cases would increase by 7,597 per 100,000 person-years under a high-emission scenario in the 2090s, which would be almost 2-fold and over 3-fold more than those projected in moderate- and low-emission scenarios. Our results reveal the vulnerabilities and inequalities of children for the excess burden of anemia due to climate warming and highlight the importance of climate mitigation and adaptation strategies in LMICs.
Africa is the second largest continent after Asia, having a larger than 30 million km(2) area. Doubtlessly, one of the biggest ecological and societal problems of the twenty-first century is climate change. Since the early 1970s, it has been clear that Africa is already experiencing the effects of climate change, and it has given rise to a wide range of new and unusual phenomena, such as rising temperatures, poor agricultural output, extreme different weather scenarios, and the spread of disease, among other things. Therefore, the current review aims at screening the impact of climate change on agricultural sector, human health and food security in Africa compared to the other continents, evaluating the change projections in future and highlighting the role of African leaders in mitigating and adapting to these effects. Artificial intelligence, remote sensing, and high-tech algorithms were applied to analyze these effects. Historical data were downloaded in near real-time from January 2009 to the present from the FAO Water Productivity Open-access portal WaPOR and Terra Climate datasets on Earth Engine platform. Assessment process was performed using Google Earth Engine, whereas future data were downloaded from WorldClim 2.1. We used 2021-2040 timelines and two scenarios: SSP245 and SSP585. For the SSP and timeline, we downloaded four versions, based on four different global circulation models (GCMs): IPSL-CM6A-LR (France), MRI-ESM2-0 (Japan), CanESM5 (Canadian), and BCC-CSM2-MR (China), to reflect the uncertainty among GCMs. We averaged future projection of each variable and SSP across four GCMs to decrease the uncertainty connected with a particular GCM. We presented the averaged results as maps. Annual precipitation totals were significantly above average in Central and East Africa, while under SSP 245 scenario, Madagascar would experience high rainfall. The highest temperature anomalies were seen in parts of the Greater Horn of Africa, western equatorial regions, and the north-western part of the continent. Minimum and Maximum temperature predictions showed that Africa would experience harsh temperatures than previously recorded in the historical years. A high average maximum temperature is predicted across the sub-Sahara Africa, South Africa, Somalia, and Madagascar under SSP 245 and SSP 585. The MCD64A1 dataset tagged in Earth Engine was used to classify forest fire risk in Africa. Analysis revealed that the highest fire risk was recorded in Savannah in tropical and subtropical Africa. Further, changes in rainfall and increased temperature leading to increased evaporation would directly reduce runoff levels and recharge groundwater which in turn will have negative effects on biodiversity, agriculture, and food security. Notably, African leaders have played positive role in the recent climate negotiations and bright climate initiatives have been emerged. Hopefully they will solve the climate crisis across the continent.
Ensuring safe high-quality food is an ongoing priority, yet consumers face heightened risk from foodborne pathogens due to extended supply chains and climate change in the food industry. Nanomaterial-based assays are popular and have recently been developed to ensure food safety and high quality. This review discusses strategies for utilizing gold nanoparticles in colorimetric biosensors. The visible-signal biosensor proves to be a potent sensing technique for directly measuring targets related to foodborne pathogens in the field of food analysis. Among visible-signal biosensors, the localized surface plasmon resonance (LSPR) biosensor has garnered increasing attention and experienced rapid development in recent years. This review succinctly introduces the origin of LSPR theory, providing detailed insights into its fundamental principles. Additionally, this review delves into the application of nanotechnology for the implementation of the LSPR biosensor, exploring methods for utilizing gold nanoparticles and elucidating the factors that influence the generation of visible signals. Several emerging technologies aimed at simple and rapid immunoassays for onsite applications have been introduced in the food industry. In the foreseeable future, field-friendly colorimetric biosensors could be adopted in food monitoring systems. The onsite and real-time detection of possible contaminants and biological substances in food and water is essential to ensure human health and safety.
Due to climate changes, there has been a large expansion of emerging tick-borne zoonotic viruses, including Heartland bandavirus (HRTV) and Dabie bandavirus (DBV). As etiologic agents of hemorrhagic fever with high fatality, HRTV and DBV have been recognized as dangerous viral pathogens that likely cause future wide epidemics. Despite serious health concerns, the mechanisms underlying viral infection are largely unknown. HRTV and DBV Gn and Gc are viral surface glycoproteins required for early entry events during infection. Glycosphingolipids, including galactosylceramide (GalCer), glucosylceramide (GlcCer) and lactosylceramide (LacCer), are a class of membrane lipids that play essential roles in membrane structure and viral lifecycle. Here, our genome-wide CRISPR/Cas9 knockout screen identifies that glycosphingolipid biosynthesis pathway is essential for HRTV and DBV infection. The deficiency of UDP-glucose ceramide glucosyltransferase (UGCG) that produces GlcCer resulted in the loss of infectivity of recombinant viruses pseudotyped with HRTV or DBV Gn/Gc glycoproteins. Conversely, exogenous supplement of GlcCer, but not GalCer or LacCer, recovered viral entry of UGCG-deficient cells in a dose-dependent manner. Biophysical analyses showed that GlcCer targeted the lipid-head-group binding pocket of Gc to form a stable protein-lipid complex, which allowed the insertion of Gc protein into host lysosomal membrane lipid bilayers for viral fusion. Mutagenesis showed that D841 residue at the Gc lipid binding pocket was critical for GlcCer interaction and thereby, viral entry. These findings reveal detailed mechanism of GlcCer glycosphingolipid in HRTV and DBV Gc-mediated membrane fusion and provide a potential therapeutic target for tickborne virus infection. Author summaryHeartland bandavirus (HRTV) and Dabie bandavirus (DBV) were recently identified as emerging tick-borne zoonotic viruses in the United States and Asia, respectively. As etiologic agents of hemorrhagic fever with high fatality, HRTV and DBV have been recognized as dangerous viral pathogens that likely cause future wide epidemics. Despite serious health concerns, the mechanisms underlying viral infection are largely unknown. Here, we use genome-wide CRISPR/Cas9 knockout screens to determine the requirements of HRTV entry in mammalian cells. We found that the glycosphingolipid biosynthesis pathway is essential for HRTV and DBV infection. The infectivity of HRTV and DBV in glycosphingolipid biosynthesis-deficient cells was drastically reduced. We also found that glucosylceramide (GlcCer) plays a vital role in HRTV glycoproteins-mediated membrane fusion. The GlcCer targets the lipid-head-group binding pocket of HRTV glycoprotein in the host lysosomal membrane to form a stable lipid-protein complex, thereby facilitating viral fusion and entry. Our study reveals the detailed molecular mechanism of GlcCer glycosphingolipid in HRTV and DBV Gc-mediated membrane fusion and provides a potential therapeutic target for tick-borne virus infection.
Urban green spaces are important for climate change adaptation, in particular to reduce the negative impacts of heat waves on human well-being. However, in growing cities urban green spaces are under pressure due to increasing housing demand and densification. Municipalities face the challenge of addressing both the housing shortage and the need for climate change adaptation on limited space. This study assessed the barriers that hinder successful integration in urban policymaking. More specifically, it analyses structural conditions impeding or promoting climate resilient urban development in growing, densifying areas. Based on interviews with urban and green space planning officers and policy analyses, we investigate current discourses and the interrelations between actors, power, resources and regulations. Our results show that improved cooperation between indi-vidual administrative departments, as well as administration and politics is decisive for better integration of green spaces in urban planning, negotiations with investors and sustained citizen involvement. Certain depart-mental structures and working routines can help to promote such cooperation. We show that it is not the availability of resources alone that is key for integration, as commonly suggested. Instead, transparent communication, the co-development of rules and resolutions with the public, and strategic external resource management are needed for solving conflicting demands for densification and greening in cities. We conclude with recommendations for research, policy and practice.
Climate change affects most remarkably Savannah regions in ways that alter agricultural productivity. In addition, these regions are marked by high prevalence of malnutrition and mortality related to undernourishment in children under 5 years old. One of the most promising solutions to sustainably fight malnutrition is to design programs that will consider locally produced foods and production approaches that protect the soil. The present study was designed to evaluate the nutritional quality of grains produced in the Savannah in order to provide data that will be used to make recommendations for nutrition and sustainable farming. Farmers in the Savannah region in Togo were interviewed about their productions and their produced grains were sampled for biochemical characterization. All producers exploit family lands and mainly produce grains. More than 98% of producers breed poultry by only at the family level. Biochemical characterization of the sampled foods shows that pulses present a relative high level of sand, fatty matters and proteins. Results show that both cereals and pulses contain sufficient energy, fatty matters, vitamins and minerals that are necessary for human wellbeing. Foods formulations could be made especially for children under food substitution. In addition, pulses production is encouraged for sustainable soil preservation.
As heatwaves become more frequent, intense, and longer-lasting due to climate change, the question of breaching thermal limits becomes pressing. A wet-bulb temperature (T(w)) of 35 °C has been proposed as a theoretical upper limit on human abilities to biologically thermoregulate. But, recent-empirical-research using human subjects found a significantly lower maximum T(w) at which thermoregulation is possible even with minimal metabolic activity. Projecting future exposure to this empirical critical environmental limit has not been done. Here, using this more accurate threshold and the latest coupled climate model results, we quantify exposure to dangerous, potentially lethal heat for future climates at various global warming levels. We find that humanity is more vulnerable to moist heat stress than previously proposed because of these lower thermal limits. Still, limiting warming to under 2 °C nearly eliminates exposure and risk of widespread uncompensable moist heatwaves as a sharp rise in exposure occurs at 3 °C of warming. Parts of the Middle East and the Indus River Valley experience brief exceedances with only 1.5 °C warming. More widespread, but brief, dangerous heat stress occurs in a +2 °C climate, including in eastern China and sub-Saharan Africa, while the US Midwest emerges as a moist heat stress hotspot in a +3 °C climate. In the future, moist heat extremes will lie outside the bounds of past human experience and beyond current heat mitigation strategies for billions of people. While some physiological adaptation from the thresholds described here is possible, additional behavioral, cultural, and technical adaptation will be required to maintain healthy lifestyles.
In the past few decades, the air temperature of built environment and energy demand of buildings has been increased, particularly in summer. As a consequence, the number of heat waves, heat-related mortality and morbidity have increased. The wide application of air conditioning and high level of energy use are inevitable to save people’s lives, particularly in hot and temperate climates. Under these circumstances, this study offers a scoping review of the articles published between 2000 and 2020 to evaluate the role of green roofs in building energy use in hot and temperate climates. Given the ongoing trend of urban overheating, the scope of this review is limited to hot-humid, temperate and hot-dry climate zones. This scoping review shows the benefits of green roofs for reducing the demand of building energy in different climate zones and highlights the higher magnitude of energy saving in temperate climates than hot-humid or hot-dry climates provided that the green roofs are well-irrigated and uninsulated. According to the review of the articles published between 2000 and 2020, the reduction in cooling load is maximum (mean 50.2%) in temperate climate zones for well-irrigated green roofs. The effectiveness in saving cooling load reduces in hot-humid and hot-dry climate zones with means of 10% and 14.8% respectively. Green roof’s design elements also strongly influence the potential in saving energy, and the effectiveness is heavily influenced by background climatic conditions. The findings of this study assist building designers and communities to better understand the amount of energy savings due to green roofs and present the results in different climates quantitatively.
Cities are becoming more vulnerable to climate change and need appropriate adaptation measures. Previous studies demonstrated that urban green spaces provide multiple ecosystem services, improving the health and well-being of urban residents. Yet different urban green spaces provide different services-provisioning, regulating, cultural, or supporting ones. This work aims first to understand if urban green space users perceive the different supplies of provisioning and regulating services offered by different types of urban green spaces. Second, this work seeks to determine if green roof type conditions, as well as vegetation type and access, affect the users’ perceptions of the cultural ecosystem services. This work presents the results of an image-based online survey performed among 376 Portuguese undergraduate students between March and April 2021. The survey is based on nine alternative urban space designs, varying the roof access type and vegetation types. The results show a general preference for urban green spaces with more vegetation, regardless of the type of roof, and a general preference for green spaces with better accessibility. In addition, users’ preference for no-roof conditions appears to be linked to the abundance of vegetation and quality of urban design and not to awareness of an existing roof structure and its influence on the natural processes.
Societal habits’ continuation is expected to result in severe consequences for climate change, causing significant environmental damage and humanitarian crises. Sustainability, defined as meeting present needs without compromising future generations, balances environment, equity, and economy. Turkiye, a middle-income developing country, has committed to achieving net-zero emissions by 2053 under the United Nations’ framework. The construction sector is increasingly adopting eco-friendly practices, emphasizing green buildings and structures. Several green hospital certification systems, including BREEAM, LEED, and Australian Green Star, are now in use, with around 20 certified “green hospitals” in Turkiye. The “Zero Waste Project” initiated in Turkiye aims to reduce waste generation and resource usage efficiently. Recent efforts have focused on sustainability in high-carbon footprint medical laboratories, however, an international standard has not been established yet. Clinical chemistry and laboratory medicine federations have established working groups on the subject. Universities and nonprofits worldwide offer green laboratory certificate programs covering energy conservation, green chemistry, waste management, and water conservation. Laboratories’ sustainability efforts encompass inventory management, green purchasing, test request reduction, greenhouse gas management, efficient building design, transportation choices, carbon footprint calculations, and education. The guides published in Turkiye are “Health Institutions Wastewater/Liquid Waste Management Handbook” and “Guide for Laboratory and Dialysis Wastes”. Turkiye’s Ministry of Health introduced the “Rational Test Request Procedure” to enhance diagnostic accuracy and cost-effectiveness by reducing unnecessary tests. Collective efforts are essential to raise awareness and implement precautions, particularly in high-carbon footprint medical laboratories, addressing climate change and sustainability challenges in the healthcare sector.
BACKGROUND: There is a pressing need for healthcare to respond to the climate crisis. Family physicians, given their central role in community healthcare provision, are strategically placed to lead, support, and promote sustainable healthcare, yet guidance on how to do this is fragmented. OBJECTIVE: To identify and evaluate toolkits and aids on sustainable healthcare to act as a curated resource for family physicians and their care teams interested in delivering evidence-based sustainable healthcare in their clinical practices. METHODS: A scoping review was completed of the published and grey literature across 4 databases and 2 search engines to identify articles and aids/toolkits from 1990 to present. Toolkits were subsequently evaluated for purpose, evidence-base, implementation process, adaptability to family medicine, and outcome measures. RESULTS: The search identified 17,751 articles. Screening resulted in 20 published articles and 11 toolkits. Most articles presented simple checklists to support greening clinic initiatives, 3 studies focussed on partial carbon footprint analyses, and 4 on educational initiatives. Toolkits ranged in sustainability topics and degree of depth covered, and adaptability and outcome measures. None of the resources identified have been formally evaluated for effectiveness. CONCLUSIONS: A range of aids exist to support greening of clinic operations; however, there is a significant gap in the literature for greening clinical care. Two toolkits were found to be comprehensive, one requiring tracking and reporting of sustainability initiatives. This scoping review provides a starting point for motivated family doctors and community clinics to initiate change and support more sustainable healthcare.
Green vegetation may protect against heat-related death by improving thermal comfort. Few studies have investigated associations of green vegetation with heat-related mortality in Latin America or whether associations are modified by the spatial configuration of green vegetation. We used data from 323 Latin American cities and meta-regression models to estimate associations between city-level greenness, quantified using population-weighted normalized difference vegetation index values and modeled as three-level categorical terms, and excess deaths from heat (heat excess death fractions [heat EDFs]). Models were adjusted for city-level fine particulate matter concentration (PM(2.5)), social environment, and country group. In addition to estimating overall associations, we derived estimates of association stratified by green space clustering by including an interaction term between a green space clustering measure (dichotomized at the median of the distribution) and the three-level greenness variable. We stratified analyses by climate zone (arid vs. temperate and tropical combined). Among the 79 arid climate zone cities, those with moderate and high greenness levels had modestly lower heat EDFs compared to cities with the lowest greenness, although protective associations were more substantial in cities with moderate versus high greenness levels and confidence intervals (CI) crossed the null (Beta: -0.41, 95% CI: -1.06, 0.25; Beta -0.23, 95% CI: -0.95, 0.49, respectively). In 244 non-arid climate zone cities, associations were approximately null. We did not observe evidence of effect modification by green space clustering. Our results suggest that greenness may offer modest protection against heat-related mortality in arid climate zone Latin American cities.
With the impact of human engineering activities, groundwater pollution has seriously threatened the health of human life. Accurate water quality assessment is the basis of controlling groundwater pollution and improving groundwater management, especially in specific regions. A typical semi-arid city in Fuxin Province of China is taken as an example. We use remote sensing and GIS to compile four environmental factors, such as rainfall, temperature, LULC, and NDVI, to analyze and screen the correlation of indicators. The differences among the four algorithms were compared by using hyperparameters and model interpretability, including random forest (RF), support vector machine support vector machine (SVM), decision tree (DT), and K-nearest neighbor (KNN). The groundwater quality of the city during the dry and wet periods was comprehensively evaluated. The results show that the RF model has higher integrated precision (MSE = 0.11, 0.035; RMSE = 0.19,0.188; R(2) = 0.829,0.811; ROC = 0.98, 0.98). The quality of shallow groundwater is poor in general, 29%, 38%, 33% of the groundwater quality in low-water period is III, IV, V water. Thirty-three percent and 67% of the groundwater quality in the high-water period were IV and V water. The proportion of poor water quality in high-water period was higher than that in low-water period, which was consistent with the actual investigation. This study provides a kind of machine learning method for the semi-arid area, which cannot only promote the sustainable development of groundwater in this area, but also provide reference for the management policy of related departments.
BACKGROUND: Changes in climate and anthropogenic activities have made water salinization a significant threat worldwide, affecting biodiversity, crop productivity and contributing to water insecurity. The Horn of Africa, which includes eastern Ethiopia, northeast Kenya, Eritrea, Djibouti, and Somalia, has natural characteristics that favor high groundwater salinity. Excess salinity has been linked to infrastructure and health problems, including increased infant mortality. This region has suffered successive droughts that have limited the availability of safe drinking water resources, leading to a humanitarian crisis for which little spatially explicit information about groundwater salinity is available. METHODS: Machine learning (random forest) is used to make spatial predictions of salinity levels at three electrical conductivity (EC) thresholds using data from 8646 boreholes and wells along with environmental predictor variables. Attention is paid to understanding the input data, balancing classes, performing many iterations, specifying cut-off values, employing spatial cross-validation, and identifying spatial uncertainties. RESULTS: Estimates are made for this transboundary region of the population potentially exposed to hazardous salinity levels. The findings indicate that about 11.6 million people (∼7% of the total population), including 400,000 infants and half a million pregnant women, rely on groundwater for drinking and live in areas of high groundwater salinity (EC > 1500 µS/cm). Somalia is the most affected and has the largest number of people potentially exposed. Around 50% of the Somali population (5 million people) may be exposed to unsafe salinity levels in their drinking water. In only five of Somalia’s 18 regions are less than 50% of infants potentially exposed to unsafe salinity levels. The main drivers of high salinity include precipitation, groundwater recharge, evaporation, ocean proximity, and fractured rocks. The combined overall accuracy and area under the curve of multiple runs is ∼ 82%. CONCLUSIONS: The modelled groundwater salinity maps for three different salinity thresholds in the Horn of Africa highlight the uneven spatial distribution of salinity in the studied countries and the large area affected, which is mainly arid flat lowlands. The results of this study provide the first detailed mapping of groundwater salinity in the region, providing essential information for water and health scientists along with decision-makers to identify and prioritize areas and populations in need of assistance.
Children and young people (henceforth referred to as young people) are one of the groups most affected by climate change and are at the forefront of climate action. Yet, there is scarce evidence on how young people navigate the challenges presented by climate change using their personal strengths and the resources accessible to them. This study aimed to address this gap by drawing on qualitative data from workshops with 31 young people between 12 and 22 years of age from metropolitan Melbourne and a bushfire-risk region in Victoria, Australia. An inductive thematic analysis of workshop transcripts showed that participants had progressively become aware of climate change in an increasingly uncertain world and sought to gain a sense of connection, agency, and hope. Participants aimed to achieve the latter by becoming aware of opportunities for climate actions in everyday life and developing themselves as agents of change. We discussed our findings from a developmental perspective to gain a better understanding of how supporting young people in learning about and acting on climate change can benefit their mental health and sense of agency.
High counts of bacteria are present in beach sand, and human health threats attributable to contact with sand have been reported. In this study, we investigated fecal indicator bacteria in the top surface sand of coastal beaches. Monitoring investigations were performed during a monsoon when rainfall occurs randomly, and the composition of the coliforms was analyzed. The coliform count in the top surface sand (depth < 1 cm) increased by approximately 100 fold (26-2.23 × 10(3) CFU/100 g) with increasing water content because of precipitation. The composition of the coliforms in the top surface sand changed within 24 h of rainfall, with Enterobacter comprising more than 40% of the coliforms. Estimation of factors that changed the bacterial counts and composition revealed that coliform counts tended to increase with increasing water content in the top surface sand. However, the abundance of Enterobacter was independent of the sand surface temperature and water content. Coliform counts in the top surface sand rapidly increased and the composition showed remarkable variations because of the supply of water to the beach following rainfall. Among them, some bacteria with suspected pathogenicity were present. Controlling bacteria in coastal beaches is important for improving public health for beachgoers.
Ambient fine particulate matter (PM(2.5)) has severe adverse health impacts, making it crucial to reduce PM(2.5) exposure for public health. Meteorological and emissions factors, which considerably affect the PM(2.5) concentrations in the atmosphere, vary substantially under different climate change scenarios. In this work, global PM(2.5) concentrations from 2021 to 2100 were generated by combining the deep learning technique, reanalysis data, emission data, and bias-corrected CMIP6 future climate scenario data. Based on the estimated PM(2.5) concentrations, the future premature mortality burden was assessed using the Global Exposure Mortality Model. Our results reveal that SSP3-7.0 scenario is associated with the highest PM(2.5) exposure, with a global concentration of 34.5 μg/m(3) in 2100, while SSP1-2.6 scenario has the lowest exposure, with an estimated of 15.7 μg/m(3) in 2100. PM(2.5)-related deaths for individuals under 75 years will decrease by 16.3 and 10.5% under SSP1-2.6 and SSP5-8.5, respectively, from 2030s to 2090s. However, premature mortality for elderly individuals (>75 years) will increase, causing the contrary trends of improved air quality and increased total PM(2.5)-related deaths in the four SSPs. Our results emphasize the need for stronger air pollution mitigation measures to offset the future burden posed by population age.
Despite recent progress in assessing future population exposure, few studies have focused on the exposure of certain vulnerable groups, such as working people. Working in hot environments can increase the heat-related risk to human health and reduce worker productivity, resulting in broad social and economic implications. Based on the daily climatic simulations from the Coupled Model Intercomparison Project phase 6 (CMIP6) and the age group-specific population projections, we investigate future changes in working-age population exposure to heat extremes under multiple scenarios at global and continental scales. Projections show little variability in exposure across scenarios by mid-century (2031-2060), whereas significantly greater increases occur under SSP3-7.0 for the late century (2071-2100) compared to lower-end emission scenarios. Global exposure is expected to increase approximately 2-fold, 6-fold and 16-fold relative to the historical time (1981-2010) under SSP1-2.6, SSP2-4.5 and SSP3-7.0, respectively. Asia will have the largest absolute exposure increase, while in relative terms, the most affected region is Africa. At the global level, future exposure increases are primarily caused by climate change and the combined effect of climate and working-age population changes. Climate change is the dominant driver in enhancing future continental exposure except in Africa, where the main contributor is the combined effect.
OBJECTIVE: This study aimed to estimate spatiotemporal variations of global heat-related cardiovascular disease (CVD) burden from 1990 to 2019. METHODS: Data on the burden of heat-related CVD were derived from the Global Burden of Disease Study 2019. Deaths and disability-adjusted life years (DALYs) were used to quantify heat-induced CVD burden. We calculated the age-standardized mortality rate (ASMR) and DALY rate (ASDR) per 100,000 population to compare this burden across regions. Generalized linear models were applied to evaluate estimated annual percentage changes (EAPC) for temporal trends from 1990 to 2019. The correlation between the socio-demographic index (SDI) and age-standardized rate was measured using the Spearman rank test. RESULTS: Heat-induced CVD caused approximately 90 thousand deaths worldwide in 2019. Global ASMR and ASDR of heat-related CVD in 2019 were 1.17 [95% confidence interval ( CI): 0.13-1.98] and 25.59 (95% CI: 2.07-44.17) per 100,000 population, respectively. The burden was significantly increased in middle and low-SDI regions and slightly decreased in high-SDI regions from 1990 to 2019. ASMR showed an upward trend, with the most considerable increase in low-latitude countries. We observed a negative correlation between SDI and EAPC in ASMR ( r (s) = -0.57, P < 0.01) and ASDR ( r (s) = -0.59, P < 0.01) among 204 countries. CONCLUSION: Heat-attributable CVD burden substantially increased in most developing countries and tropical regions.
Arboviral mosquito vectors are key targets for the surveillance and control of vector-borne diseases worldwide. In recent years, changes to the global distributions of these species have been a major research focus, aimed at predicting outbreaks of arboviral diseases. In this study, we analyzed a global scenario of climate change under regional rivalry to predict changes to these species’ distributions over the next century. Using occurrence data from VectorMap and environmental variables (temperature and precipitation) from WorldClim v. 2.1, we first built fundamental niche models for both species with the boosted regression tree modelling approach. A scenario of climate change on their fundamental niche was then analyzed. The shared socioeconomic pathway scenario 3 (regional rivalry) and the global climate model Geophysical Fluid Dynamics Laboratory Earth System Model v. 4.1 (GFDL-ESM4.1; gfdl.noaa.gov) were utilized for all analyses, in the following time periods: 2021-2040, 2041-2060, 2061-2080, and 2081-2100. Outcomes from these analyses showed that future climate change will affect Ae. aegypti and Ae. albopictus distributions in different ways across the globe. The Northern Hemisphere will have extended Ae. aegypti and Ae. albopictus distributions in future climate change scenarios, whereas the Southern Hemisphere will have the opposite outcomes. Europe will become more suitable for both species and their related vector-borne diseases. Loss of suitability in the Brazilian Amazon region further indicated that this tropical rainforest biome will have lower levels of precipitation to support these species in the future. Our models provide possible future scenarios to help identify locations for resource allocation and surveillance efforts before a significant threat to human health emerges.
Culex tritaeniorhynchus is the primary vector of Japanese encephalitis (JE) and has a wide global distribution. However, the current and future geographic distribution maps of Cx. tritaeniorhynchus in global are still incomplete. Our study aims to predict the potential distribution of Cx. tritaeniorhynchus in current and future conditions to provide a guideline for the formation and implementation of vector control strategies all over the world. We collected and screened the information on the occurrence of Cx. tritaeniorhynchus by searching the literature and online databases and used ten algorithms to investigate its global distribution and impact factors. Cx. tritaeniorhynchus had been detected in 41 countries from 5 continents. The final ensemble model (TSS = 0.864 and AUC = 0.982) indicated that human footprint was the most important factor for the occurrence of Cx. tritaeniorhynchus. The tropics and subtropics, including southeastern Asia, Central Africa, southeastern North America and eastern South America, showed high habitat suitability for Cx. tritaeniorhynchus. Cx. tritaeniorhynchus is predicted to have a wider distribution in all the continents, especially in Western Europe and South America in the future under two extreme emission scenarios (SSP5-8.5 and SSP1-2.6). Targeted strategies for the control and prevention of Cx. tritaeniorhynchus should be further strengthened.
The increasing exposure to extreme heatwaves in urban areas from both climate change and the urban heat island (UHI) effect poses multiple threats and challenges to human society. Despite a growing number of studies focusing on extreme exposure, research advances are still limited in some aspects such as oversimplification of human exposure to heatwaves and neglect of perceived temperature as well as actual body comfort, resulting in unreliable and unrealistic estimates of future results. In addition, little research has performed comprehensive and fine-resolution global analyses in future scenarios. In this study, we present the first global fine-resolution projection of future changing urban population exposure to heatwaves by 2100 under four shared socioeconomic pathways (SSPs) considering urban expansion at global, regional, and national scales. Overall, global urban population exposure to heatwaves is rising under the four SSPs. Temperate and tropical zones predictably have the greatest exposure among all climate zones. Coastal cities are projected to have the greatest exposure, followed closely by cities at low altitudes. Middle-income countries have the lowest exposure and the lowest inequality of exposure among countries. Individual climate effects contributed the most (approximately 46.4%) to future changes in exposure, followed by the interactive effect between climate and urbanization (approximately 18.5%). Our results indicate that more attention needs to be paid to policy improvements and sustainable development planning of global coastal cities and some low-altitude cities, especially in low- and high-income countries. Meanwhile, this study also highlights the impact of continued future urban expansion on population exposure to heatwaves.
BACKGROUND: Local government plays an important role in addressing complex public health challenges. While the use of research in this work is important, it is often poorly understood. This study aimed to build knowledge about how research is used by investigating its use by local government authorities (LGAs) in Victoria, Australia in responding to a new legislative requirement to prioritise climate and health in public health planning. The role of collaboration was also explored. METHODS: Informed by Normalization Process Theory (NPT), this study adopted multiple research methods, combining data from an online survey and face-to-face interviews. Quantitative data were analysed using descriptive statistics; thematic analysis was used to analyse qualitative data. RESULTS: Participants comprised 15 interviewees, and 46 survey respondents from 40 different LGAs. Research was most commonly accessed via evidence synthesis, and largely used to inform understanding about climate and health. When and how research was used was shaped by contextual factors including legislation, community values and practical limitations of how research needed to be communicated to decision-makers. Collaboration was more commonly associated with research access than use. CONCLUSIONS: Greater investment in the production and dissemination of localised research, that identifies local issues (e.g. climate risk factors) and is tailored to the communication needs of local audiences is needed to foster more impactful research use in local public health policy.
Climate changes affect planet ecosystems, living beings, humans, including their lives, rights, economy, housing, migration, and both physical and mental health. Geo-psychiatry is a new discipline within the field of psychiatry studying the interface between various geo-political factors including geographical, political, economic, commercial and cultural determinants which affect society and psychiatry: it provides a holistic overview on global issues such as climate changes, poverty, public health and accessibility to health care. It identifies geopolitical factors and their effects at the international and national levels, as well as considers the politics of climate changes and poverty within this context. This paper then introduces the Compassion, Assertive Action, Pragmatism, and Evidence Vulnerability Index (CAPE-VI) as a global foreign policy index: CAPE-VI calculates how foreign aid should be prioritised for countries that are at risk or already considered to be fragile. These countries are characterised by various forms of conflict, disadvantaged by extremes of climate change, poverty, human rights abuses, and suffering from internal warfare or terrorism.
Urban green space is important for alleviating high temperatures, pollution, and flooding in cities. Furthermore, it is becoming increasingly clear that urban green space is important for the mental and physical health of humans residing in cities and that urban green space may harbor unique biodiversity. Understanding the extent and drivers of urban green space is thus important. While urban green space has been mapped and studied at local to national scales, the global patterns and drivers of urban green space remain unknown, potentially hampering effective planning and allocation of resources toward reaching sustainable development goals. Here, we quantified the effect of environmental and socio-economic drivers (temperature, precipitation, human development, and population density) on urban green space globally by focusing on national capital cities. We used satellite imagery to map urban green space using two measures: the Normalized Difference Vegetation Index (NDVI), and the fractional cover of “green” land cover classes. NDVI is useful as it includes all vegetated surfaces, also small ones like gardens. However, land cover classes allow the exclusion of certain classes such as sports fields or cropland. We used boosted regression trees to show that climatic variables accounted for 75 % of the relative influence in urban green space, with a positive effect of precipitation and a negative effect of temperature. Importantly, socioeconomic variables accounted for 25 % of the influence on global urban green space, with a positive effect of human development index (HDI) and a negative effect of population density. HDI in relation to urban green space has not previously been tested globally, and our study shows that significantly affects urban greenspace. The results demonstrate that cities where development status is low and population densities are high, typically in the Global South, have less urban green space than the climate would predict. The results therefore suggest that human wellbeing does not only benefit directly from increasing human development and decreasing population densities in urban areas, but that these effects may be compounded by also improving nature’s contribution to people.
Wildfires are thought to be increasing in severity and frequency as a result of climate change(1-5). Air pollution from landscape fires can negatively affect human health(4-6), but human exposure to landscape fire-sourced (LFS) air pollution has not been well characterized at the global scale(7-23). Here, we estimate global daily LFS outdoor fine particulate matter (PM(2.5)) and surface ozone concentrations at 0.25° × 0.25° resolution during the period 2000-2019 with the help of machine learning and chemical transport models. We found that overall population-weighted average LFS PM(2.5) and ozone concentrations were 2.5 µg m(-3) (6.1% of all-source PM(2.5)) and 3.2 µg m(-3) (3.6% of all-source ozone), respectively, in 2010-2019, with a slight increase for PM(2.5), but not for ozone, compared with 2000-2009. Central Africa, Southeast Asia, South America and Siberia experienced the highest LFS PM(2.5) and ozone concentrations. The concentrations of LFS PM(2.5) and ozone were about four times higher in low-income countries than in high-income countries. During the period 2010-2019, 2.18 billion people were exposed to at least 1 day of substantial LFS air pollution per year, with each person in the world having, on average, 9.9 days of exposure per year. These two metrics increased by 6.8% and 2.1%, respectively, compared with 2000-2009. Overall, we find that the global population is increasingly exposed to LFS air pollution, with socioeconomic disparities.
BACKGROUND: Advocacy is one of the core functions of public health and is a key tool for achieving Sustainable Development Goals. Public health associations play a key role in advocating for the development and implementation of strategies to prevent diseases and promote health and well-being. OBJECTIVE: This study aims to map out the focus of public health advocacy carried out by selected national public health associations over 4 years, between 2018 and 2021, in order to identify gaps and strengths and support associations and professionals in their advocacy efforts. METHODS: Twelve national public health associations participated in the study. Official policy documents produced between 2018 and 2021 were collected and analysed. The title and summary of the policy documents were examined line by line and coded into the main subject categories and themes. A qualitative thematic analysis was conducted. Policies were assessed from global and regional perspectives. RESULTS: A total of 220 policy documents were analysed. Overall, the largest number of policy documents came from high-income countries and dealt with environmental health and communicable diseases, including COVID-19, with, however, important differences among regions. In the African region, public health advocacy focused mainly on strengthening health systems; Europe and South America were mostly concerned with communicable diseases and pandemic management; and North America and the Western Pacific regions focused primarily on climate change. Limited attention was paid to international health and health as a human right in all regions. CONCLUSION: Our study showed that, especially in high-income countries, public health associations actively engage in advocacy; however, more effort needs to be devoted to implementing a more international and intersectoral approach at the global level, anchored in health as a human right and aligned with the Sustainable Development Goals.
Purpose of Review This review aimed to systematically synthesize the global evidence base for natural disasters and human health using natural language processing (NLP) techniques. Recent Findings We searched Embase, PubMed, Scopus, PsycInfo, and Web of Science Core Collection, using titles, abstracts, and keywords, and included only literature indexed in English. NLP techniques, including text classification, topic modeling, and geoparsing methods, were used to systematically identify and map scientific literature on natural disasters and human health published between January 1, 2012, and April 3, 2022. We predicted 6105 studies in the area of natural disasters and human health. Earthquakes, hurricanes, and tsunamis were the most frequent nature disasters; posttraumatic stress disorder (PTSD) and depression were the most frequently studied health outcomes; mental health services were the most common way of coping. Geographically, the evidence base was dominated by studies from high-income countries. Co-occurrence of natural disasters and psychological distress was common. Psychological distress was one of the top three most frequent topics in all continents except Africa, where infectious diseases was the most prevalent topic. Summary Our findings demonstrated the importance and feasibility of using NLP to comprehensively map natural disasters and human health in the growing literature. The review identifies clear topics for future clinical and public health research and can provide an empirical basis for reducing the negative health effects of natural disasters.
Climate change has increased the vulnerability of many communities and ecosystems, including those on islands. This study evaluates the patterns of scientific publication and visualises network connections between countries and keywords by presenting four sets of bibliometric analyses of publications related to “climate change and vulnerability”, “climate change and island”, “vulnerability and island”, and “vulnerability, climate change, and island”, as obtained from the Scopus database. Based on the combinations of keywords in the article, the study retrieved 1768 documents for “climate change and vulnerability”, 501 documents for “climate change and island”, 270 documents for “vulnerability and island”, and 37 documents for “vulnerability, climate change, and island” for further analysis using various tools. Microsoft Excel was used to conduct the frequency analysis, and Harzing’s Publish or Perish and VOSviewer were used for the citation metrics analysis and data visualisation, respectively. The results are reported using standard bibliometric indicators, such as the annual growth of publications, publications by subject, prolific authors, most active institutions, active journals, highly cited articles, co-authorship by countries, and co-occurrence keyword analysis. The findings revealed that there has been continuous growth in the number of publications on all four research topics since the first publication, and the main subject found on Scopus for all topics in Environmental Science. For “climate change and vulnerability”, the most productive author is James D. Ford, and the most active journal is Climatic Change. The most-cited document has received 3243 citations. Meanwhile, for “climate change and islands”, the most productive author and most active journals are Patrick D. Nunn and Regional Environmental Change, respectively, while the most cited document has received 285 citations. Subsequently, the most productive authors for “vulnerability and island” and “climate change, vulnerability, and island” received 627 citations and 154 citations, respectively. The country with the most links and highest total link strength was the United States of America, according to co-occurrence analysis between countries. Current themes are discussed, and future possible research is suggested based on the clustering of the keywords. Among the clusters that emerged from the network visualisations are those focused on the ecosystem, adaptation, water resources, human and health risk assessments, coastal vulnerability and management, and agricultural and resource management. This study will benefit policymakers, researchers, environmental practitioners, and the public because it provides a comprehensive overview of existing research, potential research directions, and the current state of knowledge on the topic, allowing a better understanding of the research landscape.
Impacts of climate change rank among the century’s most significant ecological and medical concerns. As a result of climatic changes, the distribution of some bacterial species will alter across time and space. Numerous bacterial infections will reorganize as a result worldwide. Acinetobacter baumannii Bouvet and Grimont is one of the most significant and frequently occurring bacteria identified in soil and air. The COVID-19 pandemic has changed how bacteriologists perceive this species as a new threat to human health. In order to estimate the existing and future worldwide distribution of A. baumannii under various climate change scenarios, about 1000 A. baumannii occurrence records were employed. Given its superior accuracy and dependability versus alternative modeling techniques, maximum entropy implemented in MaxEnt was selected as the modeling tool. The bioclimatic variable that contributes the most to the distribution of A. baumannii is the mean temperature of the coldest quarter (bio_11). The created current distribution model agreed with the species’ actual globally dispersed distribution. It is projected that A. baumannii will experience a severe range expansion due to the increase in temperature brought on by global warming in different regions of its range. According to the risk maps created for 2050 and 2070 using two alternative RCPs, there are various regions that will be under risk of this bacterium as a result of rising temperature. Future data science and GIS evaluation of the current results are necessary, especially on a local level.
The global spatiotemporal pattern of mortality risk and burden attributable to tropical cyclones is unclear. We aimed to evaluate the global short-term mortality risk and burden associated with tropical cyclones from 1980 to 2019. METHODS: The wind speed associated with cyclones from 1980 to 2019 was estimated globally through a parametric wind field model at a grid resolution of 0·5° × 0·5°. A total of 341 locations with daily mortality and temperature data from 14 countries that experienced at least one tropical cyclone day (a day with maximum sustained wind speed associated with cyclones ≥17·5 m/s) during the study period were included. A conditional quasi-Poisson regression with distributed lag non-linear model was applied to assess the tropical cyclone-mortality association. A meta-regression model was fitted to evaluate potential contributing factors and estimate grid cell-specific tropical cyclone effects. FINDINGS: Tropical cyclone exposure was associated with an overall 6% (95% CI 4-8) increase in mortality in the first 2 weeks following exposure. Globally, an estimate of 97 430 excess deaths (95% empirical CI [eCI] 71 651-126 438) per decade were observed over the 2 weeks following exposure to tropical cyclones, accounting for 20·7 (95% eCI 15·2-26·9) excess deaths per 100 000 residents (excess death rate) and 3·3 (95% eCI 2·4-4·3) excess deaths per 1000 deaths (excess death ratio) over 1980-2019. The mortality burden exhibited substantial temporal and spatial variation. East Asia and south Asia had the highest number of excess deaths during 1980-2019: 28 744 (95% eCI 16 863-42 188) and 27 267 (21 157-34 058) excess deaths per decade, respectively. In contrast, the regions with the highest excess death ratios and rates were southeast Asia and Latin America and the Caribbean. From 1980-99 to 2000-19, marked increases in tropical cyclone-related excess death numbers were observed globally, especially for Latin America and the Caribbean and south Asia. Grid cell-level and country-level results revealed further heterogeneous spatiotemporal patterns such as the high and increasing tropical cyclone-related mortality burden in Caribbean countries or regions. INTERPRETATION: Globally, short-term exposure to tropical cyclones was associated with a significant mortality burden, with highly heterogeneous spatiotemporal patterns. In-depth exploration of tropical cyclone epidemiology for those countries and regions estimated to have the highest and increasing tropical cyclone-related mortality burdens is urgently needed to help inform the development of targeted actions against the increasing adverse health impacts of tropical cyclones under a changing climate. FUNDING: Australian Research Council and Australian National Health and Medical Research Council.
Mosquito-borne viruses increasingly threaten human populations due to accelerating changes in climate, human and mosquito migration, and land use practices. Over the last three decades, the global distribution of dengue has rapidly expanded, causing detrimental health and economic problems in many areas of the world. To develop effective disease control measures and plan for future epidemics, there is an urgent need to map the current and future transmission potential of dengue across both endemic and emerging areas. Expanding and applying Index P, a previously developed mosquito-borne viral suitability measure, we map the global climate-driven transmission potential of dengue virus transmitted by Aedes aegypti mosquitoes from 1981 to 2019. This database of dengue transmission suitability maps and an R package for Index P estimations are offered to the public health community as resources towards the identification of past, current and future transmission hotspots. These resources and the studies they facilitate can contribute to the planning of disease control and prevention strategies, especially in areas where surveillance is unreliable or non-existent.
Global warming is a result of the increased emission of greenhouse gases. The consequences of this climate change threaten society, biodiversity, food and resource availability. The consequences include an increased risk of cardiovascular (CV) disease and cardiovascular mortality. In this position paper, we summarize the data from the main studies that assess the risks of a temperature increase or heat waves in CV events (CV mortality, myocardial infarction, heart failure, stroke, and CV hospitalizations), as well as the data concerning air pollution as an enhancer of temperature-related CV risks. The data currently support global warming/heat waves (extreme temperatures) as cardiovascular threats. Achieving neutrality in emissions to prevent global warming is essential and it is likely to have an effect in the global health, including the cardiovascular health. Simultaneously, urgent steps are required to adapt the society and individuals to this new climatic context that is potentially harmful for cardiovascular health. Multidisciplinary teams should plan and intervene healthcare related to temperature changes and heat waves and advocate for a change in environmental health policy.
Global warming has direct and indirect effects, as well as short- and long-term impacts on the respiratory and skin barriers. Extreme temperature directly affects the airway epithelial barrier by disrupting the structural proteins and by triggering airway inflammation and hyperreactivity. It enhances tidal volume and respiratory rate by affecting the thermoregulatory system, causing specific airway resistance and reflex bronchoconstriction via activation of bronchopulmonary vagal C fibers and upregulation of transient receptor potential vanilloid (TRPV) 1 and TRPV4. Heat shock proteins are activated under heat stress and contribute to both epithelial barrier dysfunction and airway inflammation. Accordingly, the frequency and severity of allergic rhinitis and asthma have been increasing. Heat activates TRPV3 in keratinocytes, causing the secretion of inflammatory mediators and eventually pruritus. Exposure to air pollutants alters the expression of genes that control skin barrier integrity and triggers an immune response, increasing the incidence and prevalence of atopic dermatitis. There is evidence that extreme temperature, heavy rains and floods, air pollution, and wildfires increase atopic dermatitis flares. In this narrative review, focused on the last 3 years of literature, we explore the effects of global warming on respiratory and skin barrier and their clinical consequences.
Human activity has a direct influence on the climate on our planet. In recent decades, the greater part of the scientific community has united around the concept of Global Warming (GW). This process highly impacts the geographical distribution of mosquitoes and Mosquito-Borne Diseases (MBD). The examined scientific publications show that Africa, especially sub-Saharan countries were and still hot spot of MBD globally. The economic, social, and environmental conditions prevailing in most African countries have effectively contributed to the spread of MBD. The current situation is very worrying, and it will get even more complicated as GW gets worse. In this regard, health systems in developing countries will have serious difficulties in health policies and public health activities to control the spread on MBD. Therefore, the governments of African countries should do more to combat MBD. However, a part of the responsibility lies with the international community, especially countries that contribute to GW. In conclusion, the analysis of the scientific literature showed that with increasing importance of GW leads to an increase in the prevalence of MBD.
The adverse and severe impacts of climate-induced natural hazards, which are expected to be aggravated by climate change, are forming a wider outline of the environmental crisis, being a source of negative emotions for human societies. Children and young people, in particular, are one of the most vulnerable social groups to this distress. In this research, we intend to analyze the eco-anxiety and climate anxiety aspects of Generation Z, based on a critical review of studies on children’s and young people’s ecological feelings worldwide, alongside a study of actual data on natural disasters per country since the year 2000. The results of the research revealed that (a) Generation Z worries in the Global North and suffers in the Global South, (b) Generation Z acts against climate change, and (c) there is an existential dimension of children’s and young people’s eco-anxiety. The study also highlights dimensions of eco-anxiety that are under-researched and are important to explore in the future. Empathizing with Generation Z’s emotional state in relation to ecological crisis and climate change may affect and highlight new directions in environmental thought and awareness.
BACKGROUND: Increasing grain nutritional value in sorghum (Sorghum bicolor) is a paramount breeding objective, as is increasing drought resistance (DR), because sorghum is grown mainly in drought-prone areas. The genetic basis of grain nutritional traits remains largely unknown. Marker-assisted selection using significant loci identified through genome-wide association study (GWAS) shows potential for selecting desirable traits in crops. This study assessed natural variation available in sorghum accessions from around the globe to identify novel genes or genomic regions with potential for improving grain nutritional value, and to study associations between DR traits and grain weight and nutritional composition. RESULTS: We dissected the genetic architecture of grain nutritional composition, protein content, thousand-kernel weight (TKW), and plant height (PH) in sorghum through GWAS of 163 unique African and Asian accessions under irrigated and post-flowering drought conditions. Several QTLs were detected. Some were significantly associated with DR, TKW, PH, protein, and Zn, Mn, and Ca contents. Genomic regions on chromosomes 1, 2, 4, 8, 9, and 10 were associated with TKW, nutritional, and DR traits; colocalization patterns of these markers indicate potential for simultaneous improvement of these traits. In African accessions, markers associated with TKW were mapped to six regions also associated with protein, Zn, Ca, Mn, Na, and DR, suggesting the potential for simultaneous selection for higher grain nutrition and TKW. Our results indicate that it may be possible to select for increased DR on the basis of grain nutrition and weight potential. CONCLUSIONS: This study provides a valuable resource for selecting landraces for use in plant breeding programs and for identifying loci that may contribute to grain nutrition and weight with the hope of producing cultivars that combine improved yield traits, nutrition, and DR.
While nearly one in nine people in the world deals with hunger, one in eight has obesity, and all face the threat of climate change. The production of rice, an important cereal crop and staple food for most of the world’s population, faces challenges due to climate change, the increasing global population, and the simultaneous prevalence of hunger and obesity worldwide. These issues could be addressed at least in part by genetically modified rice. Genetic engineering has greatly developed over the century. Genetically modified rice has been approved by the ISAAA’s GM approval database as safe for human consumption. The aim behind the development of this rice is to improve the crop yield, nutritional value, and food safety of rice grains. This review article provides a summary of the research data on genetically modified rice and its potential role in improving the double burden of malnutrition, primarily through increasing nutritional quality as well as grain size and yield. It also reviews the potential health benefits of certain bioactive components generated in genetically modified rice. Furthermore, this article discusses potential solutions to these challenges, including the use of genetically modified crops and the identification of quantitative trait loci involved in grain weight and nutritional quality. Specifically, a quantitative trait locus called grain weight on chromosome 6 has been identified, which was amplified by the Kasa allele, resulting in a substantial increase in grain weight and brown grain. An overexpressing a specific gene in rice, Oryza sativa plasma membrane H+-ATPase1, was observed to improve the absorption and assimilation of ammonium in the roots, as well as enhance stomatal opening and photosynthesis rate in the leaves under light exposure. Cloning research has also enabled the identification of several underlying quantitative trait loci involved in grain weight and nutritional quality. Finally, this article discusses the increasing threats of climate change such as methane-nitrous oxide emissions and global warming, and how they may be significantly improved by genetically modified rice through modifying a water-management technique. Taken together, this comprehensive review will be of particular importance to the field of bioactive components of cereal grains and food industries trying to produce high-quality functional cereal foods through genetic engineering.
The past decade has witnessed an increasing frequency and intensity of disasters, from extreme weather, drought, and wildfires to hurricanes, floods, and wars. Providing timely disaster response and humanitarian aid to these events is a critical topic for decision makers and relief experts in order to mitigate impacts and save lives. When a disaster occurs, it is important to acquire first-hand, real-time information about the potentially affected area, its infrastructure, and its people in order to develop situational awareness and plan a response to address the health needs of the affected population. This requires rapid assembly of multi-source geospatial data that need to be organized and visualized in a way to support disaster-relief efforts. In this paper, we introduce a new cyberinfrastructure solution-GeoGraphVis-that is empowered by knowledge graph technology and advanced visualization to enable intelligent decision making and problem solving. There are three innovative features of this solution. First, a location-aware knowledge graph is created to link and integrate cross-domain data to make the graph analytics-ready. Second, expert-driven disaster response workflows are analyzed and modeled as machine-understandable decision paths to guide knowledge exploration via the graph. Third, a scene-based visualization strategy is developed to enable interactive and heuristic visual analytics to better comprehend disaster impact situations and develop action plans for humanitarian aid.
Glacial lake outburst floods (GLOFs) represent a major hazard and can result in significant loss of life. Globally, since 1990, the number and size of glacial lakes has grown rapidly along with downstream population, while socio-economic vulnerability has decreased. Nevertheless, contemporary exposure and vulnerability to GLOFs at the global scale has never been quantified. Here we show that 15 million people globally are exposed to impacts from potential GLOFs. Populations in High Mountains Asia (HMA) are the most exposed and on average live closest to glacial lakes with ~1 million people living within 10 km of a glacial lake. More than half of the globally exposed population are found in just four countries: India, Pakistan, Peru, and China. While HMA has the highest potential for GLOF impacts, we highlight the Andes as a region of concern, with similar potential for GLOF impacts to HMA but comparatively few published research studies.
Global warming is causing melting of glaciers, which is affecting socioeconomic development. It is essential to study the combined influence of changes in structures of glaciers on human well-being and socioeconomic systems. Herein, we considered Qilian Mountains as an example, quantified the regional socioeconomic benefits of glaciers and human well-being, and attempted to draw a correlation between glacier service value and human well-being. The findings of our study reveal that the value of glacier services in Qilian Mountains decreased from 1.84 x 1010 yuan in 1998 to 1.72 x 1010 yuan in 2018, with a spatial trend of circling down from the central region to the western and eastern regions. The distribution of human well-being showed an increasing trend, and a phenomenon of “low value central and western clustering, high value eastern sporadic distribution.” There is an increasing degree of coordination between human well-being and glacier services value; the spatial distribution shows a decreasing trend from the west to the east, with differences in the nature of coordinated development in different regions at the same coordination stage being obvious. We analyzed the changes in glacier services value and their relationship with human well-being from both micro and macro perspectives to provide theoretical support for formulating management strategies for glacier resource conservation and improving the interface between glacier service evaluation results and government decision-making.
Ground-level ozone is a major air pollutant harmful to human health. In the scope of climate change, it is essential to provide high-quality local-scale assessments of the anticipated changes for public health and policy interventions. Assessments and projections of ground-level ozone usually rely on numerical modeling, but statistical approaches are also available. The present study enhances the validity of statistical downscaling by taking climate change as well as air pollution changes into account. Besides considering meteorological predictors such as air temperature, short-wave radiation, humidity, and wind, ozone trends from changes in precursor emissions were included in the statistical models. Meteorological and ozone predictor information extracted from reanalysis data for the observational period and output of seven Earth System Models (ESMs) for the projection periods were used, with three of them having interactive chemical modeling, while the other four used prescribed ozone changes. Ground-level ozone, more precisely daily maximum 8-hr running means (MDA8) as well as daily maximum 1-hr values (MDA1), at 798 measurement stations across the European area in the “ozone season ” from April to September were assessed. Results depended strongly on whether only meteorological information or additional information about emission changes were considered. As a general picture under the consideration of climate and emission changes, decreasing ground-level ozone concentrations were projected under the moderate SSP2-4.5 scenario, while for the more pessimistic scenario SSP3-7.0 increasing ozone concentrations over Europe, especially at the end of the 21st century, were assessed.
Global warming leads to more frequent and intense heatwaves, putting urban populations at greater risk. Previous related studies considered only surface air temperature or one or two Shared Socioeconomic Pathways (SSPs) and were limited to specific regions. Moreover, no research focused on heatwave exposure in highly-populated global megacities facing severe threats. This study is the first to project future population exposure to heatwaves in 83 global megacities by 2100 using fine-resolution data, suitable indices reflecting human comfort in heatwaves by incorporating temperature and humidity, and a future population exposure projection and analysis framework. The results show that (1) the global frequency of extreme heatwave events and average change rate in each megacity sequentially increase from SSP1-2.6 to SSP5-8.5, and the change rate is generally larger in megacities in the Southern Hemisphere; (2) the increases in heatwave exposure are greatest under SSP370, and the change rates are generally larger for megacities in Southern Asia; (3) there is a high degree of inequality (Gini of 0.6 to 0.63) in future heatwave exposure globally, with the highest inequality under SSP5-8.5 and the lowest under SSP3-7.0; (4) the average exposure, increase rate, and change are highest in low-income megacities and lowest in high-income megacities. The distribution of exposure is the most balanced in middle-income megacities and the least balanced in high-income megacities; and (5) population growth contributes more to the change in exposure than total warming in high-income megacities under SSP1-2.6, and total urban warming contributes much more than population growth in all other cases. Every effort should be made to avoid the SSP3-7.0 scenario and pursue sustainable and rational urban economic development. Mumbai, Manila, Kolkata, and Jakarta warrant particular attention due to their rapid exposure growth. Additionally, policymakers and urban planners must focus on improving sustainable development planning for megacities in southern Asia and low-income megacities.
Cholera is a bacterial disease that is commonly transmitted through contaminated water, leading to severe diarrhea and rapid dehydration that can prove fatal if left untreated. The complexity of the disease spread arises from the convergence of several distinct and interrelated factors, which previous research has often failed to consider. A significant scientific limitation of the existing literature is the simplistic assumption of linear or logistic dynamics of the disease spread, thereby impeding a thorough assessment of the effectiveness of control strategies. Since environmental factors are the most influential determinant of Vibrio bacterial growth in nature and are responsible for the resurgence, propagation, and disappearance of cholera epidemics, we have proposed a S-I-R-S model that combines bacterial dynamics with the Allee effect. This model takes into account the environmental influence and allows for a better understanding of the disease dynamics. Our results have revealed the phenomenon of bi-stability, with backward and forward bifurcation. Furthermore, our findings have demonstrated that the Allee effect provides a robust framework for characterizing fluctuations in bacterial populations and the onset of cholera outbreaks. This framework can be used for assessing the effectiveness of control strategies, including regular environmental sanitation programs, adherence to hygiene protocols, and monitoring of unfavorable weather conditions.
: While climate change and migration are separately recognised as public health challenges, the combination of the two – climate change-induced migration which is predicted to increase through this century – requires further research to ensure population health needs are met. As such, this paper aims to identify initial gaps and opportunities in the nexus of climate change, migration and health research. METHODS: : We conducted a questionnaire based study of academics and practitioners working in the fields of climate change, migration and health. Open-ended responses were thematically analysed. RESULTS: : Responses from 72 practitioners collected in October 2021 were categorised into a thematic framework encompassing i) gaps and opportunities: across health care and outcomes, impact pathways between climate change and migration, most at risk groups (specific actors) and regions, and longitudinal perspectives on migrant journeys; alongside ii) methodological challenges; iii) ethical challenges, and iv) advancing research with better funding and collaboration. Broadly, findings suggested that research must clarify the interlinkages and drivers between climate change, migration, health (systems), and intersecting factors including the broader determinants of health. Study of the dynamics of migration needs to extend beyond the current focus of rural-urban migration and international migration into high income countries, to include internal displacement and immobile/ trapped populations. Research could better include considerations of vulnerable groups currently underrepresented, people with specific health needs, and focus more on most at-risk regions. Research methodology could be strengthened through better data and definitions, clear ethical guidelines, and increased funding and collaboration. CONCLUSION: : This study describes gaps, challenges and needs within research on the nexus of climate change, migration and health, in acknowledgement of the complexity of studying across multiple intersecting factors. Working with complexity can be supported by using the framework and findings to support researchers grappling with these intersecting themes.
Climate change is a global emergency. Consequently, current global targets to combat the climate crisis include reaching net-zero carbon emissions by 2050 and keeping global temperature increases below 1.5 ˚C. In 2014, the healthcare carbon footprint was 5.5% of the total national footprint. Gastrointestinal endoscopy (GIE) has a large carbon footprint compared to other procedures performed in healthcare facilities. GIE was identified as the third largest generator of medical waste in healthcare facilities for the following reasons: (1) GIE is associated with high case volumes, (2) GIE patients and relatives travel frequently, (3) GIE involves the use of many nonrenewable wastes, (4) single-use devices are used during GIE, and (5) GIE is frequently reprocessed. Immediate actions to reduce the environmental impact of GIE include: (1) adhering to guidelines, (2) implementing audit strategies to determine the appropriateness of GIE, (3) avoiding unnecessary procedures, (4) using medication rationally, (4) digitalization, (5) telemedicine, (6) critical pathways, (7) outpatient procedures, (8) adequate waste management, and (9) minimizing single-use devices. In addition, sustainable infrastructure for endoscopy units, using renewable energy, and 3R (reduce, reuse, and recycle) programs are necessary to reduce the impact of GIE on the climate crisis. Consequently, healthcare providers need to work together to achieve a more sustainable future. Therefore, strategies must be implemented to achieve net-zero carbon emissions in the healthcare field, especially from GIE, by 2050.
OBJECTIVE: Belsky’s parenting model provides insight into the relationship between parental psychological status and parenting behaviors. However, little is known about the unique associations of posttraumatic stress disorder (PTSD) symptoms with specific parenting behaviors. This study aimed to assess the associations of PTSD symptoms and three types of parenting behaviors (rejection, emotional warmth, and overprotection) with marital satisfaction, and to examine gender differences in these associations. METHOD: Self-report questionnaires were used to survey 4,570 parents 3 months after Typhoon Lekima in China. RESULTS: The results showed that intrusion and avoidance symptoms had positively indirect associations with emotional warmth and negatively indirect associations with rejection and overprotection via marital satisfaction. However, negative cognitive and emotional alterations (NCEA) and hyperarousal symptoms had opposite relationships with three types of parenting behavior. A gender-moderated mediation relationship was found in the associations of PTSD symptoms and parenting behaviors via marital satisfaction. Marital satisfaction played a mediating role in the relationships between four PTSD symptom clusters and three types of parenting behavior in mothers, whereas in fathers, marital satisfaction mediated only the relationships of NCEA and hyperarousal symptoms with three types of parenting behavior. CONCLUSIONS: Marital satisfaction mediated the associations between four distinct PTSD symptom clusters and three types of parenting behavior, and a gender difference was found to be in these indirect relationships. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
INTRODUCTION: After 2000, there are more obese than underweight people in the world. We face a rapid increase in average global warming of 1.5°C, reported as a syndemic problem of three interconnected epidemics: obesity, global warming, and undernutrition. We aimed to analyze the impact and association between global warming and obesity in children and differences by gender across Europe after 2000. METHODS: We searched PubMed, MEDLINE, Google Scholar, ScienceDirect, and Embase databases. The considered population were children aged 6-14. Only cross-sectional studies that defined obesity by the IOTF cutoffs and the subjects’ place of residence, used to determine precise climate zones, were included. We assessed the prevalence of obesity and overweight using a random-effects and the Mantel-Haenszel fixed-effect method when heterogeneity was greater/lower than 50%. We did a subgroup analysis for prevalence across gender, obesity, and overweight, two decades, regions, countries, and the Köppen-Geiger climate zones. Random effects of the meta-regression were used to study the global warming impact and differences in trends across European countries by gender for both conditions separately. RESULTS: We identified 114 studies that included 985,971 children from 39 European countries. A significant difference between genders was in favor of obese girls 4.78 (95% CI: 3.85-5.93) versus boys 5.76% (95% CI: 5.11-6.48, p = 0.03), respectively, but not for overweight children. Most of the obese girls were in South Europe 7.51% (95% CI: 6.61-8.51) versus East Europe 2.86% (95% CI: 23-3.12), versus boys in South Europe 8.66% (95% CI: 7.68-9.74) and North Europe 3.49% (95% CI: 2.90-4.19), respectively. The “cold” Köppen-Geiger climate zone, with lowest temperatures, has the largest trend rise between two decades of 2.8% and 1.53% for obese girls and boys, and 5.31% and 1.81% for overweight girls and boys, respectively, followed by the smallest number of obese girls 3.28% (95% CI: 2.17-4.92) and boys 3.58% (95% CI: 2.39-5.33), versus the zone with the highest temperatures “hot” for girls 7.02% (95% CI: 6.30-7.82) and for boys 8.23% (95% CI: 7.55-8.96), respectively. The meta-regression proved global warming has a significant impact on the distribution of obesity and overweight across climate zones, R(2) = 0.52 and R(2) = 0.22. No significant gender differences, or significant interaction, was noted. CONCLUSION: Our meta-analysis provides a comprehensive overview of the association between and impact of global warming on obesity. This impact increases obesity among children in Europe throughout all climate zones, and emphasizes an urgent call for further preventive methods in schools, since obesity differences continue their trend of disappearing into the future.Systematic review registration: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021282127, identifier: CRD42021282127.
Climate-related events unevenly affect society, worsening mental health disparities among vulnerable populations. This paper highlights that lesbians, gays, bisexuals, transgender, queers, and other individuals identifying as sexual and gender minorities (LGBTQ+) could be considered a climate-vulnerable population in the Philippines, one of the most climate-vulnerable countries. As such, this paper elucidated that LGBTQ+ Filipinos can be marginalized in climate response efforts due to their sexual orientation and gender minority identities. According to the minority stress theory, discrimination against LGBTQ+ individuals may predispose them to mental health problems. Thus, there is a need to institute an LGBTQ+ inclusive mental health response for climate-related events to address discrimination against LGBTQ+ individuals and uphold their mental health.
It is acknowledged that climate change exacerbates social inequalities, and women have been reported as more vulnerable to heat than men in many studies in Europe, including the Czech Republic. This study aimed at investigating the associations between daily temperature and mortality in the Czech Republic in the light of a sex and gender perspective, taking into account other factors such as age and marital status. Daily mean temperature and individual mortality data recorded during the five warmest months of the year (from May to September) over the period 1995-2019 were used to fit a quasi-Poisson regression model, which included a distributed lag non-linear model (DLNM) to account for the delayed and non-linear effects of temperature on mortality. The heat-related mortality risks obtained in each population group were expressed in terms of risk at the 99th percentile of summer temperature relative to the minimum mortality temperature. Women were found generally more at risk to die because of heat than men, and the difference was larger among people over 85 years old. Risks among married people were lower than risks among single, divorced, and widowed people, while risks in divorced women were significantly higher than in divorced men. This is a novel finding which highlights the potential role of gender inequalities in heat-related mortality. Our study underlines the relevance of including a sex and gender dimension in the analysis of the impacts of heat on the population and advocates the development of gender-based adaptation policies to extreme heat.
Climate change represents a threat to the future of young people everywhere; from a mental health point of view, emotions such as fear and intense worry can manifest themselves as a construct termed climate anxiety (CA). Using an online survey, we evaluated the general anxiety and CA of a sample of university students [n = 461, 64.5% identified as women; mean age (standard deviation) = 21.4 (1.6)] as well as a diverse set of psychosocial variables (i.e., exposure to social media and news, knowledge about climate change, prosociality, and their disposition to donate to conservation efforts) to obtain a profile of potential measures associated with vulnerability to CA. Using generalized linear models, we found that participants who identified as women, spent more time reading news sites, had more knowledge about climate change, were more prosocial and more willing to donate to conservation efforts had higher CA scores, but not more generalized anxiety. In addition, we found that students whose courses involved information about climate change had higher CA scores. Identifying the characteristics of individuals vulnerable to CA may help address their negative feelings so that they can overcome anxiety and turn to meaningful positive action.
In many low-income countries, agricultural producers face significant climate-related risks that undermine the resilience of their production and food supply systems. Agricultural insurance can help mitigate some of these risks, enabling farmers to increase farm investments, incomes, and food and nutritional security. This paper conducts a literature review to evaluate the extent to which agricultural insurance is gender-inclusive and gender-responsive (i.e., reaches and benefits both women and men), and whether there is potential for such insurance to empower women or even become gender-transformative. We find that existing agricultural insurance products are designed and delivered in ways that limit reach and benefits of insurance for women. Empirical research has focused less on the question whether insurance empowers women, let alone whether it has a transformative effect by changing institutional norms that perpetuate gender inequities. We present a case study of a crop insurance program in Kenya to discuss how agricultural insurance, if adequately designed, can have stronger impacts on gender-related outcomes. Empirically testing these approaches to agricultural insurance design is a key priority for future research.
The frequency and severity of flooding events are expected to increase with climate change in Canada’s province of Quebec. Highly publicized flooding events ravaged the province’s water-front communities in 2017 and 2019, with dire health and economic impacts. A recognized com-ponent of integrated flood risk management is the adoption of adaptive behaviors that reduce the vulnerability of exposed households to flooding. A previous study established an index of pre-flood adaptation based on 15 behaviors, using responses of 1951 participants residing within or less than 150 m from officially designated high flood risk zones. 325 of these respondents were successfully recontacted in 2019 for a follow-up survey on their adaptive behaviors, constituting the longitudinal sample used in this study. The new database tracks changes in pre-flood adapta-tion of Quebecers over a span of 4 years and seeks to establish experiential, socio-demographic, and psychosocial variables that predict the preventive behavior adoption rates four years on. Re-sults suggest that there has been no significant increase in the level of adaptive behavior between 2015 and 2019, though households that have experienced a flood or a flood alert in the past are more likely to adapt than those who have not. Furthermore, the most important measures re-ported in 2015 for predicting adoption of behaviors four years on are income, the experience of a flood, and the belief that one lives in a flood-prone zone. Finally, a second stepwise regression in-dicates that a change in flood experience, an increase in perception of the severity of flood im-pacts on one’s residence, and adaptation in 2015 are the strongest predictors of adaptation in 2019. Results from this exploratory longitudinal study provide critical information regarding flood adaptive behavior over a long period of time, and its predictors.
Addressing food security in high mountains is a multidimensional conundrum because of complex climate patterns and environmental attributes. These conditions affect water supplies, biodiversity, droughts, and other hazards. The climate change-land degradation nexus, although it is difficult to disentangle, poses formidable challenges. Isolated mountain villages, coupled with poverty, a strained subsistence existence, conflict, and marginal lands make the residents vulnerable to malnutrition, stunting, and food access. Because the arable land is mostly in confined valleys, food production is insufficient. The soils are typically infertile, with little organic matter; on hillslopes, thin soil and rock cover, coupled with short growing seasons, restrict crop production. High-elevation pastures are overgrazed, and the natural hazard impacts on food security are often overlooked. We examine food security through these multifaceted stressors, instead of merely focusing on production and distribution, and present an integrated approach to assess natural and anthropogenic stressors and feedback loops affecting food security linked to planning, mitigation, and coping strategies.
Non-technical summaryThe industrial food system is widely considered to be unsustainable due to its undesired climate and health effects. One proposed alternative to these problems is a more local system of food provisioning. This means involving individuals, households, and communities in growing and acquiring edibles, like vegetables and other food stuff. This study based on a literature review found that food self-provisioning practitioners are mainly driven by health concerns and less by reasoning linked to the environment, like climate change adaptation and mitigation. We propose that the potential of food self-provisioning is underutilised in developing the sustainability of food systems. Technical summaryIn this article, we review and analyse the literature and concept of ‘food self-provisioning’ in order to understand its potential as a response to contemporary challenges. The focus of the study is on investigating the meanings related to environmental problems, particularly climate change, and issues of health. Firstly, we show how food self-provisioning is conceptualised vis-a-vis health and the environment; and secondly, what the (potential) implications of food self-provisioning to interlinked human and non-human health and beyond are. Based on the conducted literature review (n = 44), meanings of food self-provisioning are found to connect primarily to issues of human health and only secondarily to environmental questions, and even more marginally to climate change mitigation and adaptation. Our analysis cuts across the scales of households, communities, cities, and regions, including their diverse geographies, and hereby also comments on the questions of multilevel organising of self-provisioning, and what the notion of ‘self’ implies in this context. Social media summaryThe potential of food self-provisioning is underutilised in developing the sustainability of food systems.
Blue foods, sourced in aquatic environments, are important for the economies, livelihoods, nutritional security and cultures of people in many nations. They are often nutrient rich(1), generate lower emissions and impacts on land and water than many terrestrial meats(2), and contribute to the health(3), wellbeing and livelihoods of many rural communities(4). The Blue Food Assessment recently evaluated nutritional, environmental, economic and justice dimensions of blue foods globally. Here we integrate these findings and translate them into four policy objectives to help realize the contributions that blue foods can make to national food systems around the world: ensuring supplies of critical nutrients, providing healthy alternatives to terrestrial meat, reducing dietary environmental footprints and safeguarding blue food contributions to nutrition, just economies and livelihoods under a changing climate. To account for how context-specific environmental, socio-economic and cultural aspects affect this contribution, we assess the relevance of each policy objective for individual countries, and examine associated co-benefits and trade-offs at national and international scales. We find that in many African and South American nations, facilitating consumption of culturally relevant blue food, especially among nutritionally vulnerable population segments, could address vitamin B(12) and omega-3 deficiencies. Meanwhile, in many global North nations, cardiovascular disease rates and large greenhouse gas footprints from ruminant meat intake could be lowered through moderate consumption of seafood with low environmental impact. The analytical framework we provide also identifies countries with high future risk, for whom climate adaptation of blue food systems will be particularly important. Overall the framework helps decision makers to assess the blue food policy objectives most relevant to their geographies, and to compare and contrast the benefits and trade-offs associated with pursuing these objectives.
Plant species vary under different climate conditions and the distribution of pollen in the air and their trends can be used to assess the impact of climate change on public health. In 2015, MASK-air® (Mobile Airways Sentinel networK for rhinitis and asthma) was launched as a project of the European Innovation Partnership on Active and Healthy Ageing (EIP-on-AHA, DG Santé and DG CONNECT). This project aimed to develop a warning system to inform patients about the pollen season onset. SILAM (System for Integrated modeLling of Atmospheric composition), a global-to-meso-scale dispersion model was developed by the Finnish Meteorological Institute (FMI). It provides quantitative information on atmospheric pollution of anthropogenic and natural origins, particularly on allergenic pollens. POLLAR (Impact of Air Pollution on Asthma and Rhinitis, EIT Health) has combined MASK-air clinical data with SILAM forecasts. A new Horizon Europe grant, CATALYSE (Climate Action to Advance HeaLthY Societies in Europe; grant agreement number 101057131), which started in September 2022, aims at better understanding climate change and finding ways to counteract it. One objectives of this project is to develop early warning systems and predictive models to improve the effectiveness of adaptation strategies to climate change. One of warning system is focused on allergic rhinitis (CATALYSE Task 3.2). with a collaboration between the FMI (Finland), Porto University (Portugal), MASK-air SAS (France), ISGlobal (Spain), Hertie School (Germany) and the University of Zurich (Switzerland). It is to be implemented with the support of EAACI. This paper reports the planning of CATALYSE Task 3.2.
Are people more inclined to adapt to climate change if they believe that climate change is real, caused by human behavior, and/or brings negative consequences? Previous studies provided inconclusive results on the relationship between climate change perceptions and adaptation behavior. Using a longitudinal approach, we examined whether risk perception, self-efficacy, and outcome efficacy play a role in how and when climate change perceptions are associated with adaptation to pluvial flooding and heat stress in the Netherlands. As expected, stronger climate change perceptions were associated with stronger perceptions of climate-related risks, which in turn lead to stronger intentions to implement adaptation measures. Yet, neither climate change perceptions nor risk perception were associated with whether people had actually implemented adaptation measures during a 1-year period. Contrary to common assumptions in the literature, higher levels of perceived self-efficacy and outcome efficacy did not strengthen the relations between climate change perceptions and adaptation intentions and behavior. Rather, higher levels of self-efficacy and outcome efficacy were directly related to stronger intentions to take adaptive measures and taking those measures within a period of 1 year. Exploratory analyses offered initial support for a sequential model where climate change perceptions lead to higher levels of perceptions of specific climate-related risks, which in turn lead to stronger self-efficacy and outcome efficacy, ultimately increasing adaptation intentions, but not actual behavior. Strategies to promote adaptation behavior could aim to remove behavioral barriers to increase self-efficacy, and strengthen outcome efficacy, enabling people to act on their climate change perceptions.
We find ourselves in a unique time in history with the confluence of a pandemic, global warming, and social chasms felt throughout the world. In this article, it is suggested that the grieving process is necessary for progress. The article addresses grief from a psychodynamic lens and progresses through the neurobiological changes that occur in the grieving process. The article discusses grief as both a result of and a necessary response to COVID-19, global warming, and social unrest. It is argued that grief is a vital process in order to fully change as a society and move forward. The role of psychiatry, and specifically psychodynamic psychiatry, is integral in paving the way to this new understanding and a new future.
Climate change and global warming are major modern challenges, while gender inequality has been a social issue throughout the history of humankind. This study attempts to investigate how natural threats influence gender inequality. The study estimates the influence of the likelihood of suffering harms due to natural hazards on gender inequality in education, health, employment, and rights for a sample of 130 countries from 2011 to 2019. Natural threats appear to reduce the proportions of waged and salaried female workers in comparison with males, while inducing higher levels of self-employment among women. Natural threats increase gender inequality in education at both primary and tertiary levels. Natural threats seem to decrease the health status of men more than that of women, which is reflected in increased ratios of female/male life expectancy or survival to age 65. Natural threats are, surprisingly, found to improve women’s rights.
OBJECTIVE: At the Medical Faculty of the Goethe University Frankfurt am Main, the elective course “climate change and health” was offered to students in the clinical phase of their medical studies for the first time in the winter semester 2021/22 (any unfilled places were made available to interested students studying other subjects). Despite attracting considerable attention, this topic has not yet been incorporated into the curriculum of medical studies. Our aim was therefore to teach students about climate change and discuss its effects on human health. The students evaluated the elective in terms of various factors relating to knowledge, attitudes and behavior. PROJECT DESCRIPTION: The elective focused on the concept of Planetary Health, with an emphasis on the health consequences of climate change, as well as possibilities for action and adaptation in clinical and practical settings. The course took place in three live, online sessions (with inputs, discussion, case studies and work in small groups), as well as online preparation and a final written assignment for which students were asked to reflect on the subject. The standardized teaching evaluation questionnaire (=didactic dimension) of Goethe University was used online to evaluate the elective, whereby the questionnaire was extended to include the measurement of changes in students’ agreement with items (dimensions) relating to knowledge, attitudes and behavior (personal behavior and behavior as physicians) before and after the course (pre/post comparison). RESULTS: Students expressed high levels of satisfaction with the course content, the presentation of the course, and the organization of the elective. This was reflected in very good to good overall ratings. The pre/post comparisons further showed a significant, positive shift in agreement ratings in almost all dimensions. The majority of respondents also wanted the topic to be firmly embedded in the medical curriculum. CONCLUSION: The evaluation shows that with respect to the impact of climate change on human health, the elective course had a clear influence on the knowledge, attitudes, and behaviors of the students. In view of the relevance of the topic, it is therefore important that this subject is included in medical curricula in the future.
The incidence of allergic diseases worldwide is rapidly increasing, making allergies a modern pandemic. This article intends to review published reports addressing the role of fungi as causative agents in the development of various overreactivity-related diseases, mainly affecting the respiratory tract. After presenting the basic information on the mechanisms of allergic reactions, we describe the impact of fungal allergens on the development of the allergic diseases. Human activity and climate change have an impact on the spread of fungi and their plant hosts. Particular attention should be paid to microfungi, i.e., plant parasites that may be an underestimated source of new allergens.
Fungal keratitis due to Fusarium species is a rare but serious ocular disease. Due to its rapid progression, often late diagnostic confirmation as well as limited topical treatment options, this is potentially sight threatening. Increasing contact lens use and global climate change have been suggested to be factors leading to an increase in cases of fusarium keratitis, even in regions with moderate climate. Early recognition and initiation of antimycotic treatment, as well as early surgical treatment by penetrating keratoplasty are decisive for the outcome.
Climate change is arguably one of the most pressing issues affecting the world today and requires the fusion of disparate data streams to accurately model its impacts. Mosquito populations respond to temperature and precipitation in a nonlinear way, making predicting climate impacts on mosquito-borne diseases an ongoing challenge. Data-driven approaches for accurately modeling mosquito populations are needed for predicting mosquito-borne disease risk under climate change scenarios. Many current models for disease transmission are continuous and autonomous, while mosquito data is discrete and varies both within and between seasons. This study uses an optimization framework to fit a non-autonomous logistic model with periodic net growth rate and carrying capacity parameters for 15 years of daily mosquito time-series data from the Greater Toronto Area of Canada. The resulting parameters accurately capture the inter-annual and intra-seasonal variability of mosquito populations within a single geographic region, and a variance-based sensitivity analysis highlights the influence each parameter has on the peak magnitude and timing of the mosquito season. This method can easily extend to other geographic regions and be integrated into a larger disease transmission model. This method addresses the ongoing challenges of data and model fusion by serving as a link between discrete time-series data and continuous differential equations for mosquito-borne epidemiology models.
There are numerous challenges facing the modern food and agriculture industry that urgently need to be addressed, including feeding a growing global population, mitigating and adapting to climate change, decreasing pollution, waste, and biodiversity loss, and ensuring that people remain healthy. At the same time, foods should be safe, affordable, convenient, and delicious. The latest developments in science and technology are being deployed to address these issues. Some of the most important elements within this modern food design approach are encapsulated by the MATCHING model: Meat-reduced; Automation; Technology-driven; Consumer-centric; Healthy; Intelligent; Novel; and Globalization. In this review article, we focus on four key aspects that will be important for the creation of a new generation of healthier and more sustainable foods: emerging raw materials; structural design principles for creating innovative products; developments in eco-friendly packaging; and precision nutrition and customized production of foods. We also highlight some of the most important new developments in science and technology that are being used to create future foods, including food architecture, synthetic biology, nanoscience, and sensory perception.Supplemental data for this article is available online at https://doi.org/10.1080/10408398.2022.2033683.
Over the last two decades, Vibrio vulnificus infections have emerged as an increasingly serious public health threat along the German Baltic coast. To manage related risks, near real-time (NRT) modelling of V. vulnificus quantities has often been proposed. Such models require spatially explicit input data, for example, from remote sensing or numerical model products. We tested if data from a hydrodynamic, a meteorological, and a biogeochemical model are suitable as input for an NRT model system by coupling it with field samples and assessing the models’ ability to capture known ecological parameters of V. vulnificus. We also identify the most important predictors for V. vulnificus in the Baltic Sea by leveraging the St. Nicolas House Analysis. Using a 27-year time series of sea surface temperature, we have investigated trends of V. vulnificus season length, which pinpoint hotspots mainly in the east of our study region. Our results underline the importance of water temperature and salinity on V. vulnificus abundance but also highlight the potential of air temperature, oxygen, and precipitation to serve as predictors in a statistical model, albeit their relationship with V. vulnificus may not be causal. The evaluated models cannot be used in an NRT model system due to data availability constraints, but promising alternatives are presented. The results provide a valuable basis for a future NRT model for V. vulnificus in the Baltic Sea.
Global warming is caused by human activity, such as the burning of fossil fuels, which produces high levels of greenhouse gasses. As a consequence, climate change impacts all organisms and the greater ecosystem through changing conditions from weather patterns to the temperature, pH and salt concentrations found in waterways and soil. These environmental changes fundamentally alter many parameters of the living world, from the kinetics of chemical reactions and cellular signaling pathways to the accumulation of unforeseen chemicals in the environment, the appearance and dispersal of new diseases, and the availability of traditional foods. Some organisms adapt to extremes, while others cannot. This article asks five questions that prompt us to consider the foundational knowledge that biochemistry can bring to the table as we meet the challenge of climate change. We approach climate change from the molecular point of view, identifying how cells and organisms – from microbes to plants and animals – respond to changing environmental conditions. To embrace the concept of “one health” for all life on the planet, we argue that we must leverage biochemistry, cell biology, molecular biophysics and genetics to fully understand the impact of climate change on the living world and to bring positive change.
Aerobiological studies are still scarce in northwestern Mexico where allergenic pollen have great impacts on health. Current global pollution and climate change problems are closely related to many allergic diseases, enhancing the need to continue researching these issues and improve life quality. This study provides the first Pollen Calendar for Hermosillo, Sonora, México. Airborne pollen were continuously collected for 5 years (2015-2019). The standardized methodology with a Hirst-type spore trap proposed for global aerobiological studies was used. Weather data were also taken from a station located in the city and used to explore correlations between climate and airborne pollen concentrations in different seasons. The most important pollen taxa recorded in air belongs to herbaceous pollen, such as Poaceae, Ambrosia, Asteraceae, Chenopodiaceae-Amaranthaceae, and some shrub trees typical of this arid region, such as Nyctaginaceae, Prosopis, Parkinsonia, and Fabaceae. The most critical herbaceous pollen related to allergies have a long mean pollen season throughout the years, and the most critical periods with high pollen concentration in air occur in two seasons, spring (March-April) and summer-fall (August-October). In these 5 years, the correlation analyses for these two peaks indicate that a link exists between pollen in the air and decreases in precipitation and temperatures, and an increase in relative humidity. An inter-annual variability in pollen concentrations was recorded related to different weather conditions. Although pollen calendars are location-specific, they are useful for future research on biological air quality scenarios in different cities. Using this standardized method for other regions can provide pollen calendars that have been proven clinically important in allergic disease management worldwide.
IMPORTANCE: Climate change is associated with more frequent and intense floods. Current research on the association between flood exposure and diarrhea risk is limited mainly to short-term and event-specific analyses. Moreover, how prior drought or water, sanitation, and hygiene (WaSH) practices influence this association remains largely unknown. OBJECTIVE: To examine the association between flood exposure and diarrhea risk among children younger than 5 years and to evaluate the compounding influence of prior drought and effect modification by WaSH. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study included multicluster surveys conducted by the Demographic and Health Surveys Program in 43 low- and middle-income countries during 2009 through 2019. This study included children younger than 5 years in all households from each survey cluster. Collected data were analyzed between September 1 and December 31, 2022. EXPOSURES: Historical flood events during 2009 through 2019 were obtained from the Dartmouth Flood Observatory. MAIN OUTCOME AND MEASURES: The main outcome was diarrhea prevalence among children younger than 5 years in the 2 weeks before the survey was conducted. Results were analyzed by binomial generalized linear mixed-effects logistic regression models with nested random intercepts for country and survey cluster. RESULTS: Among 639 250 children making up the complete data series (excluding 274 847 children with missing values for diarrhea or baseline characteristics), 6365 (mean [SD] age, 28.9 [17.2] months; 3214 boys [50.5%]; 3151 girls [49.5%]) were exposed to floods during the 8 weeks after a flood started. The prevalence of diarrhea was 13.2% (n = 839) among exposed children and 12.7% (n = 80 337) among unexposed children. Exposure to floods was associated with increased diarrhea risk, with the highest odds ratio (OR) observed during the second to fourth weeks after floods started (OR, 1.35; 95% CI, 1.05-1.73). When floods were stratified by severity and duration, significant associations were observed only for extreme floods (OR during the third to fifth weeks, 2.07; 95% CI, 1.37-3.11) or floods lasting more than 2 weeks (OR during the second to fourth weeks, 1.47; 95% CI, 1.13-1.92), with significantly stronger associations than for less extreme floods or shorter-duration floods, respectively. The OR during the first 4 weeks after the start of floods was significantly higher for floods preceded by a 6-month or longer drought (12-month drought OR, 1.96; 95% CI, 1.53-2.52) than for floods not preceded by a 6-month or longer drought (12-month drought OR, 1.00; 95% CI, 0.79-1.27). CONCLUSIONS: These findings suggest that floods, especially severe floods, long-duration floods, and floods preceded by drought, are associated with an increased risk of diarrhea among children younger than 5 years living in low- and middle-income countries. With the projected increasing frequency and intensity of floods and drought under climate change, greater collective efforts are needed to protect children’s health from these compounding events.
BACKGROUND: Climate change has been associated with a higher frequency of extreme weather events, resulting in an overall increase in morbidity and mortality. Acute otitis media (AOM) is one of the most common otolaryngological infections and accounts for 1.5% of emergency department visits. This study aimed to identify associations between extreme weather events and the immediate and delayed risks for AOM-related emergency department visits (EV). METHODS: A total of 1,465 AOM-related EVs were identified in the Vienna General Hospital between 2015 and 2018. A distributed lag non-linear model was applied to evaluate the relationship between extreme weather conditions and the total number of AOM-related EVs per day. The relative risk (RR) and cumulative RR (cRR) of single-day events and extended weather events over three days were analyzed over a lag period of 14 days. RESULTS: AOM-related EVs showed a pronounced seasonality, with the highest occurrence during winter. Single-day weather events affected AOM-related EVs only at high relative humidity. Prolonged extreme weather conditions over three days, however, significantly increased the cRR for AOM-related EVs to 3.15 [1.26-7.88; p = 0.014] and 2.14 [1.14-4.04; p = 0.018] at mean temperatures of -4°C (1(st)-percentile – p(1)) and 0°C (p(5)) on the same day. Relative humidity of 37% (p(1)) decreased RR to 0.94 [0.88-0.99; p = 0.032] on day 7, while extremely high humidity of 89% (p(99)) led to an increased cRR of 1.43 [1.03-2.00; p = 0.034] on day 7. Heavy prolonged precipitation of 24mm (p(95)) reduced cRR beginning day 4 up until day 14 to 0.52 [0.31-0.86; p = 0.012]. Prolonged low atmospheric pressure events of 985hPa (p(5)) reduced the RR to 0.95 [0.91-1.00; p = 0.03], whereas extremely high atmospheric pressure events of 1013hPa (p(99)) increased the RR to 1.11 [1.03-1.20; p = 0.008]. Extremely low wind speeds significantly diminished the RR of AOM-related EVs. CONCLUSIONS: While single-day extreme weather events had little impact on the occurrence of AOM-related EVs, extended periods of extreme temperatures, relative humidity, precipitation, wind speeds and atmospheric pressure significantly impacted the RR for AOM-related EVs. These findings could help improve healthcare resource allocation in similar climates and aid in educating patients about the role of environmental factors in AOM.
Climate change is modifying the spatiotemporal patterns of global precipitation events, temperatures, and winds, therefore, after extreme events, improving emergency responses in urban areas is key to saving its inhabitants. In Southern America, the number of extreme events is increasing. This is the case of Soledad, the municipality in Colombia where most of the catastrophic wind phenomena take place. To date, no studies have been conducted to quantify the impacts and effects of the urban cyclonic wind phenomena on society and the urban built environment. This lack of information and dissemination means that the population is not informed of the magnitude of the problem. This research aims to generate a risk map of atmospheric wind phenomena to evaluate their impacts and establish spatial-temporal correlations based on meteorological data from the last 20 years. Moreover, the online press has been used to identify the location of these phenomena and their negative impacts over time. For each event, the following indicators have been studied: (1) location of the atmospheric wind events; (2) occurrence rate; (3) impact of the events discriminated by fatalities, injuries, and affected houses. The results show that in 20 years, a total of 34 urban cyclonic wind events were reported. Those occurrences have impacted 60 neighbourhoods, leaving 7 deaths, 14,552 injured, and 5180 affected homes. These findings show the magnitude of the problem and the need to inform the population to improve emergency responses. We conclude that effective consideration of the resulting map will be crucial in the processes of decision-making related to territorial planning in Soledad, but also in other Southern American cities.
Air pollution and climate change are the most important environmental issues for European citizens. Despite the air quality improvements achieved in recent years, with most pollutants’ concentrations below the European Union legislated values, it is necessary to understand whether this will continue in the future due to expected climate changes impacts. In this context, this work tries to answer two main questions: (i) What is the relative contribution of emission source regions/activities to air quality, now and in the future, considering a climate change scenario?; and (ii) What additional policies are needed to support win-win strategies for air quality and climate mitigation and/or adaptation, at urban scale? For that, a climate and air quality modelling system, with source apportionment tools, was applied to the Aveiro Region, in Portugal. Main results show that in the future, due to the implementation of carbon neutrality measures, air quality in the Aveiro Region may improve, with reduction up to 4 μg.m(-3) for particulate matter (PM) concentrations and 22 μg.m(-3) for nitrogen dioxide (NO(2)), and consequently, the premature deaths due to air pollution exposure will also decrease. The expected air quality improvement will ensure that, in the future, the limit values of the European Union (EU) Air Quality Directive will not be exceeded, but the same will not happen if the proposed revision of the EU Air Quality Directive is approved. Results also shown that, in the future, industrial sector will be the one with higher relative contribution for PM concentrations and the second one for NO(2). For that sector, additional emission abatement measures were tested, showing that, in the future, it is possible to comply with all the new limit values proposed by the EU.
BACKGROUND: Physical activity (PA) can be affected by extreme temperatures, however fewer studies have identified factors impacting this relationship. This study sought to identify factors associated with changes of outdoor PA during extreme cold/heat events in a sub-tropical Chinese urban population, including factors of sociodemographic, health conditions, temperature-related awareness and attitude, and protective behaviours. METHODS: Two telephone surveys were conducted a week after extreme cold/heat events in 2016 and 2017 among a cohort of Hong Kong residents over age 15. Data was collected on self-reported changes in outdoor PA level during the periods of extreme temperatures, health status, comorbidities, sociodemographic, and temperature-related awareness, and behavioural variables. We conducted multivariable logistic regression analyses to assess predictors of change in outdoor PA over the two extreme temperature events. RESULTS AND CONCLUSION: Among 435 participants (42.8% response rate), over a third of the participants reported decreased outdoor PA level in extreme temperature events, while 10% reported an increase in extreme heat. Self-reported cardiovascular diseases were associated with decreased PA level in extreme cold, while hypertension was associated with unchanged/increased PA level in extreme heat. These results suggest physical activity to be an important consideration in the understanding of climate change-and-health pathways and meriting further research.
Increased use of fossil fuels has led to global warming with concomitant increases in the severity and frequency of extreme weather events such as wildfires and sand and dust storms. These changes have led to increases in air pollutants such as particulate matter and greenhouse gases. Global warming is also associated with increases in pollen season length and pollen concentration. Particulate matter, greenhouse gases, and pollen synergistically increase the incidence and severity of allergic diseases. Other indirect factors such as droughts, flooding, thunderstorms, heat waves, water pollution, human migration, deforestation, loss of green space, and decreasing biodiversity (including microbial diversity) also affect the incidence and severity of allergic disease. Global warming and extreme weather events are expected to increase in the coming decades, and further increases in allergic diseases are expected, exacerbating the already high health care burden associated with these diseases. There is an urgent need to mitigate and adapt to the effects of climate change to improve human health. Human health and planetary health are connected and the concept of One Health, which is an integrated, unifying approach to balance and optimize the health of people, animals, and the environment needs to be emphasized. Clinicians are trusted members of the community, and they need to take a strong leadership role in educating patients on climate change and its adverse effects on human health. They also need to advocate for policy changes that decrease the use of fossil fuels and increase biodiversity and green space to enable a healthier and more sustainable future.
Heatwaves pose an important risk for population health and are associated with an increased demand for emergency care. To find factors causing such overload, an online Delphi study included 15 experts in emergency medicine, disaster medicine, or public health. One open-ended question was delivered in the first round. After content analysis, the obtained statements were sent to the experts in two rounds to be rated on a 7-point linear scale. Consensus was defined as a standard deviation ≤ 1.0. Thirty-one statements were obtained after content analysis. The experts agreed on 18 statements, mostly focusing on the input section of patient processing and identifying stakeholders, the population, and primary care as targets of potential interventions. Additional dedicated resources and bed capacity were deemed important as per throughput and output sections, respectively. These findings could be used in the future to implement and test solutions to increase emergency healthcare resilience during heatwaves and reduce disaster risk due to climatic change.
Climate change will have adverse impacts on human health, which are amplified in cities. For these impacts, there are direct, indirect, and deferred pathways. The first category is well-studied, while indirect and deferred impacts are not well-understood. Moreover, the factors moderating the impacts have received little attention, although understanding these factors is critical for adaptation. We developed a conceptual framework that shows the pathways of climate impacts on human health, focusing specifically on the factors of urban environment moderating the emergence and severity of these health impacts. Based on the framework and literature review, we illustrate the mechanisms of direct, indirect, and deferred health impact occurrence and the factors that exacerbate or alleviate the severity of these impacts, thus presenting valuable insights for anticipatory adaptation. We conclude that an integrated systemic approach to preventing health risks from climate change can provide co-benefits for adaptation and address multiple health risks. Such an approach should be mainstreamed horizontally to all sectors of urban planning and should account for the spatiotemporal aspects of policy and planning decisions and city complexity.
Health professionals (HPs) are increasingly called upon to care for patients experiencing the health impacts of climate change, while working in the high eco-footprint health care system, which is starting to embrace a culture of sustainability. HPs are uniquely positioned to drive health care culture toward ecological responsibility and, consequently, improve patient care, health equity, and public health. Education for sustainable health care (ESHC or ESH) is the first step in developing health care practitioners able to think critically about and act upon the health impacts of the climate crisis. University of California Education for Sustainable Healthcare (UC-ESH) Faculty Development Initiative was developed to address the following goals: educate faculty on eco-medical literacy, empower faculty to build community and lead ESH at their institutions, and expand coverage of ESH to reach students beyond those for whom sustainability is already a focus. The initiative provided training to faculty across health professions and 6 health science campuses to integrate ESH into their courses using the train-the-trainer model, key knowledge and pedagogical skills, and longitudinal guidance and networking opportunities. Using a survey, questionnaire, and interviews, the initiative was evaluated using the process/elements and product/outcomes steps of the Context, Input, Process, and Product evaluation model. The UC-ESH educated over 100 faculty members and led to ESH integration into 99 existing and new courses that subsequently reached over 7,000 learners. The UC-ESH increased empowerment, awareness, and knowledge about the climate crisis, and built an ESH community of practice. Initiative elements that contributed to these outcomes included engaging training; creation of supportive group dynamics; helpful resources and activities; ongoing support; and integration approaches to ESH. This university-system-wide initiative provides a transferable model to institutions, schools, and departments seeking to develop eco-medical literate faculty who educate their students about the climate, ecosystem, and health crisis.
The ‘alarm clock’ for human beings in the era of climate medicine has rung. Original diseases have appeared, that could not be explained and attributed to common causes, which are suggested to be linked to global warming and environmental factors. Such an indolent disease is the chronic kidney disease of unknown cause (CKDu), introduced also as Mesoamerican or Uddanam nephropathy. Scientists equate the climate impact on kidneys with the canary in the coal mine; coal miners used to carry caged canaries with them, so that if poisonous gases, such as methane or carbon monoxide leaked into the mine-shaft, the gases would kill the canary before killing the miners; similarly, kidneys are injured before devastating and lethal complications occur in humans. In some regions of Central America, the deaths due to chronic kidney disease increased by 177% with a death toll being as high as over 20,000. It was first documented in animals that periodic heat and dehydration have a major role in causing chronic kidney disease. Based on that observation, it is advocated that young male agricultural workers in Central America and South Asia, develop renal disease by getting exposed to extreme heat repeatedly. The clinico-pathological characteristics of this type of kidney injury, do not belong to an existing classification, even though a form of tubulo-interstitial renal disease has been proposed. In this review, we will discuss about CKDu, its epidemiology and pathophysiological mechanisms, clinical presentation and diagnostic biomarkers and examine potential therapeutic options.
Flood cases in so many parts of Nigeria, especially in Anambra state and the accruing psychological and health related problems, affecting members of families and society necessitated this study. In view to assist and help affected individuals who specialized in farming therapeutically, this study investigated the effect of rational emotive family health therapy (REFHT) on flood-induced anxiety disorders among farmers in Anambra state Nigeria. This study was guided with 3 null hypotheses. METHODS: This is a group randomized control study, conducted in Anambra state Nigeria. The sample size was 120 registered cassava farmers in Anambra State Nigeria. A measure of anxiety disorders was used to assess the baseline data of the condition before the treatment, immediately after treatment, and after 3 weeks. The treatment was a self-developed REFHT manual that lasted for 12 sessions, 60 minutes per session with aim of reducing anxiety disorders among farmers who are victims of flood. The manual was delivered by counseling psychologists with orientation in rational emotive behavior and family therapies. Data collected were analyzed using descriptive (mean, standard deviation, chi-square, and percentage) and inferential (Partial Eta Squared, and Analysis of Covariance) statistical tools. RESULTS: The result revealed no significant gender difference was observed among the study participants’ socioeconomic, working status, and loan status. REFHT was significantly effective in reducing flood-induced anxiety disorders among farmers. There was no significant moderating effect of gender on flood-induced anxiety disorders among farmers. There was no significant interaction effect of gender and REFHT treatment on anxiety disorders among farmers. CONCLUSION: REFHT was significantly effective in reducing flood-induced anxiety disorders among farmers. Based on the findings, this study recommended among others that rational-emotive therapists and family health professionals should liaise with community leaders to provide career counseling services to farmers and establishment of community-based rational emotive institute for each state in Nigeria.
Under current climate change, severe weather impacts human life in Central Europe, which is a relatively safe climate zone concerning the occur-rence of the most violent weather events. This impact is projected to increase due to ongoing climate change. Therefore, this study, for the first time, discusses the death toll related to selected sudden severe weather phenomena in Central Europe in the 2010-2020 period with particular attention put to the death circumstances caused by the severe weather fatality, and their spatial and temporal distribution. In this study, severe wind, severe rainfall, lightning strikes, tornadoes and avalanches are considered. The data on phenomena occurrence were taken from the verified European Severe Weather Database. The study revealed that an average of 73 people died per year, and 365 people were hurt annually due to severe weather in the study period. Avalanches were found to be the deadliest phenomena, followed by severe wind, lightning and heavy rain. The majority of victims were killed during outdoor activities, such as spending free time outside or driving;however, the dominating death circumstances varied within the analysed domain and were different than those in the other regions of the world. This findings should be taken into account while creating national early-warning systems and better gathering severe weather impact data. Education and raising society awareness according to our results should be implemented as well.
A quarter of the total increase in emissions is attributable to the growth of emissions per capita, whereas three-quarters are due to population growth. This evidence notwithstanding, demography in climate-economy models typically follows exogenous trends. We develop a climate-economy integrated model with endogenous fertility through a quality-quantity trade-off. The decentralization of the social optimum requires two complementary instruments: a carbon pricing policy and family planning interventions. Global population increases and reaches a peak, depending on the scenario, between 11.6 billion in the social optimum and 14.6 billion if only carbon prices are implemented. Fertility costs (i.e., the net present value of the climate-related costs per child) are in 2020 estimated to be about 22,000 euros in the “social optimum” scenario, and about 88,000 euros in the “second-best with fertility taxes” scenario. Carbon pricing tends to have a rebound effect as it increases population growth leading to higher future emissions. Our results highlight the effects of fertility choices and global population on climate change, quantifying the cost of neglecting the interaction.
Increasing heatwave frequency due to climate change threatens outdoor workers’ health. We aimed to assess the on-site heat strain level of outdoor workers using wearable sensors and identify the factors for consideration in developing individual-based heat adaptation strategies. Seven road construction workers were recruited and asked to wear necklace-form temperature loggers and smartwatches monitoring heart rate (HR). The questionnaire was delivered daily to ask about their psychological comfort level during work. Workers were exposed to up to 5.4 degrees C higher temperature than the official air temperature, indicating that the national heatwave alarm does not reflect on-site heat conditions. Based on the measured HR data, heat strain levels were defined. When HR exceeded the level of “180-age,” we assumed extreme heat strain occurred, which requires immediate cessation of work. When HR exceeded 40% of the individual heart rate reserve (the difference between the maximum and resting HR), we assumed high heat strain occurred, indicating a stressed condition. High heat strain occurred in all workers on 9 of the 13 monitored days, whereas the official heatwave alarms were issued only on four dates. Additionally, three workers experienced extreme heat strain on two dates. The main factor for workers experiencing extreme heat strain was age. Comparing the heat strain levels from HR with the survey results, we found that the older workers considered their condition comfortable even under extreme and high heat strain. Thus, an individual sensor-based early-warning system is needed to prevent heat strain not perceived by outdoor workers. The findings emphasize the need for a personalized adaptation strategy for heatwaves and will be a baseline for developing a new work manual that mainstreams climate change impacts.
Future weather scenarios significantly affect indoor thermal comfort, influencing people’s well-being and productivity at work. Thus, future weather scenarios should be considered in the design phase to improve a building’s climate change resilience for new constructions as well as renovations in building stock. As thermal comfort is highly influenced by internal and external thermal loads resulting from weather conditions and building usage, only a dynamic building performance simulation (BPS) can predict the boundary conditions for a thermal comfort analysis during the design stage. As the model setup for a BPS requires detailed information about building geometry, materials, and usage, recent research activities have tried to derive the required simulation models from the open BIM (Building Information Modeling) Standard IFC (Industry Foundation Classes). However, even if IFC data are available, they are often faulty or incomplete. We propose a template-based enrichment of the BPS models that assists with imputing missing data based on archetypal usage of thermal zones. These templates are available for standardized enrichment of BPS models but do not include the required parameters for thermal comfort analysis. This study presents an approach for IFC-based thermal comfort analysis and a set of zone-usage-based templates to enrich thermal comfort input parameters.
The effect of exposure to extreme temperature events (ETEs) on dementia mortality remains largely unknown. We aimed to quantify the association of ETE exposure with dementia mortality. METHODS: We conducted a population-based, case-crossover study among 57 791 dementia deaths in Jiangsu province, China, during 2015-20. Daily mean temperatures were extracted from a validated grid dataset at each subject’s residential address, and grid-specific exposures to heat wave and cold spell were assessed with a combination of their intensity and duration. We applied conditional logistic regression models to investigate cumulative and lag effects for ETE exposures. RESULTS: Exposure to ETE with each of all 24 definitions was associated with an increased odds of dementia mortality, which was higher when exposed to heat wave. Exposure to heat wave (daily mean temperature ≥95th percentile, duration ≥3 days (d); P95_3d) and cold spell (≤5th percentile, duration ≥3 d; P5_3d) was associated with a 75% (95% CI: 61%, 90%) and 30% (19%, 43%) increase in odds of dementia mortality, respectively. Definitions with higher intensity were generally associated with a higher odds of dementia mortality. We estimated that 6.14% of dementia deaths were attributable to exposure to heat wave (P90_2d) and cold spell (P10_2d). No effect modifications were observed by sex or age, except that the association for heat wave was stronger among women. CONCLUSIONS: Exposure to both heat wave and cold spell was associated with an increased odds of dementia mortality. Our findings highlight that reducing individual ETE exposures may be helpful in preventing deaths from dementia, especially among women in summer.
Extreme temperature events (ETEs), including heat wave and cold spell, have been linked to myocardial infarction (MI) morbidity; however, their effects on MI mortality are less clear. Although ambient fine particulate matter (PM(2.5)) is suggested to act synergistically with extreme temperatures on cardiovascular mortality, it remains unknown if and how ETEs and PM(2.5) interact to trigger MI deaths. METHODS: A time-stratified case-crossover study of 202 678 MI deaths in Jiangsu province, China, from 2015 to 2020, was conducted to investigate the association of exposure to ETEs and PM(2.5) with MI mortality and evaluate their interactive effects. On the basis of ambient apparent temperature, multiple temperature thresholds and durations were used to build 12 ETE definitions. Daily ETEs and PM(2.5) exposures were assessed by extracting values from validated grid datasets at each subject’s geocoded residential address. Conditional logistic regression models were applied to perform exposure-response analyses and estimate relative excess odds due to interaction, proportion attributable to interaction, and synergy index. RESULTS: Under different ETE definitions, the odds ratio of MI mortality associated with heat wave and cold spell ranged from 1.18 (95% CI, 1.14-1.21) to 1.74 (1.66-1.83), and 1.04 (1.02-1.06) to 1.12 (1.07-1.18), respectively. Lag 01-day exposure to PM(2.5) was significantly associated with an increased odds of MI mortality, which attenuated at higher exposures. We observed a significant synergistic interaction of heat wave and PM(2.5) on MI mortality (relative excess odds due to interaction >0, proportion attributable to interaction >0, and synergy index >1), which was higher, in general, for heat wave with greater intensities and longer durations. We estimated that up to 2.8% of the MI deaths were attributable to exposure to ETEs and PM(2.5) at levels exceeding the interim target 3 value (37.5 μg/m(3)) of World Health Organization air quality guidelines. Women and older adults were more vulnerable to ETEs and PM(2.5). The interactive effects of ETEs or PM(2.5) on MI mortality did not vary across sex, age, or socioeconomic status. CONCLUSIONS: This study provides consistent evidence that exposure to both ETEs and PM(2.5) is significantly associated with an increased odds of MI mortality, especially for women and older adults, and that heat wave interacts synergistically with PM(2.5) to trigger MI deaths but cold spell does not. Our findings suggest that mitigating both ETE and PM(2.5) exposures may bring health cobenefits in preventing premature deaths from MI.
OBJECTIVES: This study aims to assess the association between daily temperature and sickness absence episodes in the Mediterranean province of Barcelona between 2012 and 2015, according to sociodemographic and occupational characteristics. METHODS: Ecological study of a sample of salaried workers affiliated to the Spanish social security, resident in Barcelona province between 2012 and 2015. The association between daily mean temperature and risk of new sickness absence episodes was estimated with distributed lag non-linear models. The lag effect up to 1 week was considered. Analyses were repeated separately by sex, age groups, occupational category, economic sector and medical diagnosis groups of sickness absence. RESULTS: The study included 42,744 salaried workers and 97,166 episodes of sickness absence. The risk of sickness absence increased significantly between 2 and 6 days after the cold day. For hot days there was no association with risk of sickness absence. Women, young, non-manual and workers in the service sector had a higher risk of sickness absence on cold days. The effect of cold on sickness absence was significant for respiratory system diseases (RR: 2.16; 95%CI: 1.68-2.79) and infectious diseases (RR: 1.31; 95%CI: 1.04-1.66). CONCLUSION: Low temperatures increase the risk of having a new episode of sickness absence, especially due to respiratory and infectious diseases. Vulnerable groups were identified. These results suggest the importance of working in indoor and possibly poorly ventilated spaces in the spread of diseases that eventually lead to an episode of sickness absence. It is necessary to develop specific prevention plans for cold situations.
Climate change’s influence on extreme weather events poses a significant threat to the morbidity and mortality of asthma patients. The aim of this study was to examine associations between extreme weather events and asthma-related outcomes. METHODS: A systematic literature search for relevant studies was performed using the PubMed, EMBASE, Web of Science and ProQuest databases. Fixed-effects and random-effects models were applied to estimate the effects of extreme weather events on asthma-related outcomes. RESULTS: We observed that extreme weather events were associated with increasing risks of general asthma outcomes with relative risks of 1.18-fold for asthma events (95% CI 1.13-1.24), 1.10-fold for asthma symptoms (95% CI 1.03-1.18) and 1.09-fold for asthma diagnoses (95% CI 1.00-1.19). Extreme weather events were associated with increased risks of acute asthma exacerbation with risk ratios of asthma emergency department visits of 1.25-fold (95% CI 1.14-1.37), of asthma hospital admissions of 1.10-fold (95% CI 1.04-1.17), of asthma outpatient visits of 1.19-fold (95% CI 1.06-1.34) and of asthma mortality of 2.10-fold (95% CI 1.35-3.27). Additionally, an increase in extreme weather events increased risk ratios of asthma events by 1.19-fold in children and 1.29-fold in females (95% CI 1.08-1.32 and 95% CI 0.98-1.69, respectively). Thunderstorms increased the risk ratio of asthma events by 1.24-fold (95% CI 1.13-1.36). CONCLUSIONS: Our study showed that extreme weather events more prominently increased the risk of asthma morbidity and mortality in children and females. Climate change is a critical concern for asthma control.
As described in the previous chapter, Chapter 4: Air pollution and pregnancy, there is robust literature on the adverse health impacts of ambient air pollution on perinatal outcomes. With climate change contributing to more extreme weather patterns, wildfire events are becoming more intense and frequent. Wildfire smoke is a major contributor to poor air quality and data are beginning to emerge with respect to the negative impact on perinatal outcomes. The aim of this chapter is to provide an overview of the current literature on wildfire smoke exposure in pregnancy and associated adverse outcomes.
This pilot study aimed to evaluate the effects of extremely hot ambient temperatures on the total number of fatal injuries. Data were collected from a population-based mortality registry of Thanh Hoa, a province in the North Central region of Vietnam. This study qualified the distributed lag non-linear model and calculated the RR and 95% CI adjusted for long-term trend and absolute humidity. For the entire study population with 3,949 registered deaths due to injuries collected during 2005-2007, after the onset of extremely hot ambient temperatures, an increased risk of death was observed on the 9th day RR (95% CI) = 1.44 (1.06-1.97), and reached the peak on the 12th day RR (95% CI) = 1.58 (1.14-2.17), and at the 15th day RR (95% CI) = 1.49 (1.08-2.06). Men and old adults were identified as the most vulnerable groups. This study confirmed a positive association between hot temperatures and injury-related deaths in the province of 3.6 million people. The findings motivated further investigation into the effect of warm climate changes and the risk of deaths related to other specific causes such as road traffic, work-related injury, and etc.
Climate and pollution challenges have been increasing over the last decades. The eyes are susceptible to those challenges. Modern life allows the population to search internet engine tools for information regarding eye symptoms. Drug sales are globally monitored to orient the actions of pharmaceutical companies. Monitoring those two big data sources of information (i.e., trends in internet search of eye diseases and symptoms and eye drop sales) can be correlated with climate and pollution data of the same locations and time to create standards capable of alerting about climate and pollution challenges. The present hypothesis is that climate and pollution level changes correlate with an increase in the search for ocular discomfort on the internet and the sales volume of symptomatic-relieving eye drops, providing a new tool to people’s health and preventive medicine. The potential correlation with statistical significance and a reliable confidence interval will allow using these correlations as tools to monitor remotely and to compare the parameters among different regions and over time. The benefits are to provide subsidies to public health strategies to predict and minimize climatic and environmental parameters effects.
Despite the existing knowledge about stress, trauma and pregnancy and maternal stress during natural disasters, little is known about what types of trauma pregnant or preconception women experience during these disasters. In May 2016, the worst natural disaster in modern Canadian history required the evacuation of nearly 90,000 residents of the Fort McMurray Wood Buffalo (FMWB) area of northern Alberta. Among the thousands of evacuees were an estimated 1850 women who were pregnant or soon to conceive. In August 2017, Hurricane Harvey devastated areas of the United States including Texas, with 30,000 people forced to flee their homes due to the intense flooding. OBJECTIVE: To explore immediate and past traumatic experiences of pregnant or preconception women who experienced one of two natural disasters (a wildfire and a hurricane) as captured in their expressive writing. Research questions were: (1) What trauma did pregnant or preconception women experience during the fire and the hurricane? (2) What past traumatic experiences, apart from the disasters, did the women discuss in their expressive writing? METHODS: A qualitative secondary analysis of expressive writing using thematic content analysis was conducted on the expressive writing of 50 pregnant or preconception women who experienced the 2016 Fort McMurray Wood Buffalo Wildfire (n = 25) and the 2017 Houston Hurricane Harvey (n = 25) Narrative data in the form of expressive writing entries from participants of two primary studies were thematically analyzed. One of the expressive writing questions was used in this analysis: “What is the most traumatic, upsetting experience of your entire life, especially that you have never discussed in great detail with others?” NVivo 12 supported thematic content analysis. RESULTS: For some women, the disasters elicited immense fear and anxiety that surpassed previous traumatic life events. Others, however, disclosed significant past traumas that continue to impact them, including betrayal by a loved one, abuse, maternal health complications, and illness. CONCLUSION: We recommend a strengths-based and trauma-informed care approach in both maternal health and post-disaster relief care.
AIM: to assess the Heat (HW) and Cold Waves (CW) risks on health in the urban municipality of Getafe. METHODOLOGY: time series analysis between 01/01/1999-31/10/2013. DEPENDENT VARIABLE: daily mortality due to natural causes – (ICD-10): A99-R99-. INDEPENDENT VARIABLES: the maximum (T(max)) and minimum (T(min)) daily temperature. The mortality-temperature relationship was analysed to determine the thresholds of HW (Threshold(heat)) and CW (Threshold(cold)). Using Poisson GLM (link = log), the Relative Risk (RR), Attributable Risk (AR) and Attributable Mortality (AM) were determined for each degree of the T(max) exceeding the Threshold(heat) (T(heat)) and for each degree of T(min) under the Threshold(cold) (T(cold)). Finally, socioeconomic variables were analysed descriptively. RESULTS: Threshold(heat) was 36 °C while Threshold(cold) was 0 °C. The RRs associated with T(heat), i.e. 1.08 (1.03 1.14), are akin to those obtained for T(cold,) i.e. 1.05 (1.03 1.08). There were 202 HW and 430 CW episodes. The AM to HW totalled 61 (25, 96) deaths, while that attributable to CW reached 146 (82,211) deaths. The vulnerability in Getafe seems to be lower than in surrounding similar urban and rural cities. CONCLUSIONS: The singular urban development of the municipality may have granted it an advantage over surrounding municipalities regarding temperature extremes.
BACKGROUND: Climate change has been identified as the greatest threat to global health in the twenty-first century, with its unfavorable health consequences being among its impacts on humans. Exploring the perspectives and understanding of healthcare professionals and service providers concerning climate change becomes imperative. The aim of this study is to investigate the perceptions and understanding of final-year medical students regarding the health impacts of climate change on individuals and the healthcare system using a qualitative content analysis. METHODS: This study employed a qualitative content analysis approach. Face-to-face interviews were conducted with the aid of an interview guide to explore the students’ awareness, understanding, and attitudes towards the impacts of climate change on public health and the healthcare system. The collected interview data were subsequently organized into codes, categories, and subcategories based on the students’ perspectives and attitudes towards climate change. RESULTS: Fifteen medical intern students were interviewed for this study, and the qualitative findings were categorized into 3 categories, 23 subcategories, and 229 codes. The study’s findings revealed various health impacts of climate change, which were classified into three main categories, including environmental effects with 8 subcategories, socio-economic effects with 8 subcategories, and health effects with 7 subcategories. The study’s findings revealed medical students’ perceptions of various health impacts of climate change and These findings suggest that medical student understand that climate change has significant impacts on individuals’ health and society, mainly through environmental degradation, increased risks, and climate-related disasters, which ultimately lead to adverse health outcomes. CONCLUSIONS: The perspectives of medical students in this study indicate that climate change may not have a direct and immediate impact on the health of individuals and communities. However, it can significantly influence their health and socio-economic well-being by exacerbating or causing environmental problems, increasing the risk of weather-related events and natural disasters, ultimately leading to adverse health outcomes. While the medical students’ perspectives on the health impacts of climate change are indeed broad, incorporating scientific knowledge about this topic into the medical curriculum and educating students on how to deal with patients affected by these consequences can have a significant impact on health management. This proactive approach, despite the students’ already comprehensive understanding, can enhance their preparedness to address the health effects of climate change and contribute to strengthening the healthcare system’s resilience in the face of climate-related challenges.
Air pollution is one of the most important problems the world is facing nowadays, adversely affecting public health and causing millions of deaths every year. Particulate matter is a criteria pollutant that has been linked to increased morbidity, as well as all-cause and cause-specific mortality. However, this association remains under-investigated in smaller-size cities in the Eastern Mediterranean, which are also frequently affected by heat waves and dust storms. This study explores the impact of particulate matter with an aerodynamic diameter ≤ 10 μm (PM(10)) and ≤ 2.5 μm (PM(2.5)) on mortality (all-cause, cardiovascular, respiratory) in two coastal cities in the Eastern Mediterranean; Thessaloniki, Greece and Limassol, Cyprus. Generalized additive Poisson models were used to explore overall and gender-specific associations, controlling for long- and short-term patterns, day of week and the effect of weather variables. Moreover, the effect of different lags, season, co-pollutants and dust storms on primary associations was investigated. A 10 μg/m(3) increase in PM(2.5) resulted in 1.10 % (95 % CI: -0.13, 2.34) increase in cardiovascular mortality in Thessaloniki, and in 3.07 % (95 % CI: -0.90, 7.20) increase in all-cause mortality in Limassol on the same day. Additionally, significant positive associations were observed between PM(2.5) as well as PM(10) and mortality at different lags up to seven days. Interestingly, an association with dust storms was observed only in Thessaloniki, having a protective effect, while the gender-specific analysis revealed significant associations only for the males in both cities. The outcome of this study highlights the need of city- or county-specific public health interventions to address the impact of climate, population lifestyle behaviour and other socioeconomic factors that affect the exposure to air pollution and other synergistic effects that alter the effect of PM on population health.
Carbon dioxide emissions (CO(2)e) which is caused by energy use contributes to the global average surface temperature increase by 1.5 °C as compared to the mid-1800s which is causing a certain change in the climate and becoming an adverse effect on health and economy. The relationship between health status, CO(2)e, and energy use has yet to be thoroughly investigated in the top 20 highest emitting economies. The data from 2000 to 2019 is analyzed by using advanced techniques of cross-sectional augmented distributed lag (CS-DL) and cross-sectional augmented autoregressive distributed lag (CS-ARDL) which take into consideration crucial elements of panel data, namely dynamics, heterogeneity, and cross-sectional dependence. Moreover, cross-sectional augmented error correction method (CS-ECM) and the common dynamic process of the augmented mean group (AMG) are applied for robustness checks. The empirical findings revealed that (i) CO(2)e weakens the health status only in the short-run, whereas health expenditure improves the health status in the both short- and long-runs, while economic growth is not contributing to the health status in the both short- and long-runs; (ii) health expenditure and economic growth only help to mitigate CO(2)e in the long-run, whereas energy use causes CO(2)e in the both short- and long-runs; (iii) energy use causes high economic growth in the both short- and long-runs, whereas CO(2)e aids economic growth in the short-run but is extremely damaging to economic growth in the long-run, while in the both short- and long-runs health expenditure is not aiding the economic growth. This study provides policy recommendations on improving human health by advocating massive health expenditures, CO(2)e easing, promoting renewable energy use or low-emission energy, and steering the economy toward green economic growth.
Bedrooms are important spaces that are often overlooked in the design of residential properties. The interior environment of bedrooms directly affects our sleep quality, which affects the quality of our lives and impacts productivity, health, and wellbeing. Insufficient sleep is a well-known problem in society, having significant negative consequences for health. This is compounded during heatwaves when it can be challenging to get sufficient sleep because of high night-time temperatures, especially in temperate climate zones with no tradition of mechanical cooling. A narrative review was used to explore the inter-relationship between sleep quality, bedroom design, indoor environmental quality (IEQ) and overheating. In addition to highlighting the different focus between health research and built environment research, the outcomes indicate that greater attention needs to be given to bedroom design in domestic properties. The originality of the findings relates to the need for evidence to help inform building designers to mitigate the effects of extreme heat on sleep quality, helping to improve resilience and the health of residents in a warming climate.
BACKGROUND: The impact of wildfire smoke is a growing public health issue, especially for those living with preexisting respiratory conditions. Understanding perceptions and behaviors relevant to the use of individual protective strategies, and how these affect the adoption of these strategies, is critical for the development of future communication and support interventions. This study focused on the use of masks by people living in the Australian community with asthma or chronic obstructive pulmonary disease (COPD). METHODS: Semi-structured phone interviews were undertaken with people living in the community aged 18 years and over. Participants lived in a bushfire-prone area and reported having been diagnosed with asthma or COPD. RESULTS: Twenty interviews were undertaken between July and September 2021. We found that, during wildfire episodes, there was an overwhelming reliance on closing windows and staying inside as a means of mitigating exposure to smoke. There was limited use of masks for this purpose. Even among those who had worn a mask, there was little consideration given to the type of mask or respirator used. Reliance on sensory experiences with smoke was a common prompt to adopting an avoidance behavior. Participants lacked confidence in the information available from air-quality apps and websites, however they were receptive to the idea of using masks in the future. CONCLUSIONS: Whilst COVID-19 has changed the nature of community mask use over the last couple of years, there is no guarantee that this event will influence an individual’s mask behavior during other events like bushfires. Instead, we must create social support processes for early and appropriate mask use, including the use of air quality monitoring.
BACKGROUND: Exposure to heat waves could result in adverse effects on human health, especially in male testicles. PIWI-interacting RNA (piRNA) is a novel type of small non-coding RNA, which can notably impact mRNA turnover and preserve germline maintenance in germline cells. However, piRNA’s expression status when adapting to testicular heat stress remains largely unclear. OBJECTIVES: To investigate the function and mechanisms of relevant piRNAs during testicular heat stress. MATERIALS AND METHODS: In this study, a mouse testicular heat stress model was constructed, and the testes were removed for piRNA-sequencing. Bioinformatics analysis was used to discover the differential expressed piRNAs, piRNA clusters, and enriched pathways. A cell heat stress model was constructed to validate the top five upregulated piRNAs. Proliferation and apoptosis assays were utilized to validate the function of selected piRNA. Bioinformatics prediction, western blotting, and immunohistochemistry were used to illustrate the downstream mechanisms. RESULTS: Through the bioinformatics analysis, we identified the differential expression profile and enriched pathways of piRNAs and piRNA clusters during testicular hyperthermia. Besides, piR-020492 was proved to be upregulated in heat stress mouse testes and a germ cell model. A series of in vitro assays illustrated that an overexpression of piR-020492 could restrain the proliferation and promote the apoptosis of mouse germ cells. Kyoto Encyclopedia of Genes and Genomes analysis of piRNA-generating genes in the testicular heat stress model and piR-020492 targeting genes showed that the overlap pathways are adenosine monophosphate-activated protein kinase (AMPK) and insulin pathways. Validation experiments demonstrated that the key genes of AMPK and insulin pathway exhibit differential expression after an overexpression of piR-020492 or testicular heat stress. DISCUSSION AND CONCLUSION: In conclusion, our findings revealed the expression profile of piRNAs in testicular heat stress and illustrated the function and mechanisms of piR-020492 in germ cells, which could provide novel insights into the mechanism of hyperthermia-induced testicular injury.
Airtight and highly insulated buildings are subjected to overheating risks, even in moderate climates, due to unforeseeable events like frequent heatwaves and power outages. Educational buildings share a major portion of building stocks and a large percentage of the energy is expended in maintaining thermal comfort in these buildings. Overheating risks in educational buildings can lead to heat-stress and negatively impact the health conditions and also cognitive performance of the occupants. In the light of increasing severity and longevity of heat waves in future climate scenarios, and associated power outages occurring during the heatwaves, measures to reduce overheating risk while limiting the cooling energy is gaining importance. Since the performance of existing buildings are not guaranteed during events like heatwaves, power outages, it is crucial for these buildings to be resilient to overheating. (Building) resilience is a method to deal with these uncertainties and is stated as ‘an ability of the building to withstand disruptions; and to maintain the capacity to adapt, learn and transform’. The focus of this paper is to evaluate thermal resilience for two test lecture equipped with low-energy cooling strategies like natural night ventilation (NNV) and indirect evaporative cooling (IEC) rooms, by dynamic Building Energy Simulations (BES). To assess the thermal resilience to overheating three different heatwaves (HW) files (intense, severe, and longest) for 3 future scenarios (1) Historical (2010-2020), (2) mid-term (2041-2060) and (3) long-term (2081-2100) and a 24h power outage (PO)scenario was simulated. Benchmarking was done with a base case – Typical Meteorological year(TMY) with no power outage. The heatwave files were developed adopting the methodology proposed by the ‘Weather Data Task Force’ of International Energy Agency Energy in Buildings and Communities Programme (IEA EBC) Annex 80 ‘Resilient Cooling of Buildings’. This study shows, IEC has high to moderate recovery capacity in TMY period and low recovery capacity in HW period, for a power outage of 24 h. Recovery capacity is low during HW period, especially during an intense and longer HW period when outdoor temperature influences the cooling capacity of the IEC. The results also demonstrates the impact of the thermal mass on the resilience to overheating. Passive survivability assessment indicates, the lecture room with lighter thermal mass does not violate 30 degrees C threshold during a power outage in TMY period and additionally,. recovers faster (11% times faster) from peak temperature compared to lecture room with heavy thermal mass. There is a steep increase in unmet degree hours (occupied hours above24 degrees C threshold) during HW compared to TMY period. This paper gives a directive towards assessment of resilience to overheating and also points out the gap in the existing indicators to assess the resilience.
The heatwave event to which the Ontario-Quebec area was subjected in 2018 resulted in significant morbidity and mortality. In this study, an investigation was conducted on how this heatwave affected the respective urban heat islands (UHIs) in Montreal and Ottawa. The modelled urban climates were compared before, during and after the heatwave using a Weather Research and Forecast (WRF) model having a 1 km spatial resolution. The UHI was calculated using two methods. As a first method, the “rural-ring” method was used to calculate the UHI in regard to temperature differences between urban and surrounding rural areas. The second method used the “urban-increment” approach where simulation results were compared to another simulation in which urban cells are replaced by croplands. Results show that urban land can raise temperatures by up to 12 °C at surfaces and 6 °C in the near-surface air. A synoptic anticyclone in the lower atmosphere was responsible for the heatwave, although both cities were located in areas peripheral to the anticyclone. During the heatwave, precipitation at the initial stage of the event and low wind conditions largely varied the pattern of the UHI effect within each urban center. The UHI was generally unchanged or even reduced during this heatwave, but there was substantial diurnal variation. Around noon and in the afternoon, the UHI was amplified by up to 3 °C, whereas it was suppressed or even negative at sunrise.
Climate change is increasing the frequency and magnitude of floods in many parts of the world. Therefore, people are affected significantly during floods experienced in urban areas and road networks, as well as they, may be stranded at these points due to flooding, traffic jams, and flooding of vehicles. Thus, the quick search and rescue activities in these areas may reduce the loss of life and property. This study aims to create safe routes for emergency response teams and people in urban floods. For this purpose, 2D flood analysis is carried out, and flood risk classes are determined for vehicles and people according to the results of this analysis. According to these determined flood risk classes, the most appropriate point in the flood area is found for the emergency response teams to carry out their search and rescue activities effectively. The most suitable routes for emergency response teams are obtained in four different scenarios. In addition, 13 different safe points are identified for pedestrians in the flood area, and routes are created to reach these points. Consequently, the findings of the study demonstrate that during flooding, human evacuations and search and rescue activities may happen fast.
Extreme heat has been linked to increased mortality and morbidity across the globe. Increasing temperatures due to climatic change will place immense stress on healthcare systems. This review synthesises Australian literature that has examined the effect of hot weather and heatwaves on various health outcomes. Databases including Web of Science, PubMed and CINAHL were systematically searched for articles that quantitatively examined heat health effects for the Australian population. Relevant, peer-reviewed articles published between 2010 and 2023 were included. Two authors screened the abstracts. One researcher conducted the full article review and data extraction, while another researcher randomly reviewed 10% of the articles to validate decisions. Our rapid review found abundant literature indicating increased mortality and morbidity risks due to extreme temperature exposures. The effect of heat on mortality was found to be mostly immediate, with peaks in the risk of death observed on the day of exposure or the next day. Most studies in this review were concentrated on cities and mainly included health outcome data from temperate and subtropical climate zones. There was a dearth of studies that focused on tropical or arid climates and at-risk populations, including children, pregnant women, Indigenous people and rural and remote residents. The review highlights the need for more context-specific studies targeting vulnerable population groups, particularly residents of rural and remote Australia, as these regions substantially vary climatically and socio-demographically from urban Australia, and the heat health impacts are likely to be even more substantial.
BACKGROUND: Globally, drowning is a leading cause of injury-related harm, which is heavily impacted by environmental conditions. In Australia, fatal unintentional drowning peaks in summer, yet the impact of prolonged periods of hot weather (heatwave) on fatal drowning has not previously been explored. METHODS: Using a case-crossover approach, we examined the difference in drowning risk between heatwave and non-heatwave days for the Australian state of Queensland from 2010 to 2019. Heatwave data, measured by the excess heat factor, were acquired from the Bureau of Meteorology. Incidence rate ratios (IRRs) were calculated by sex, age of drowning decedent, category of drowning incident (International Classification of Diseases-10 codes) and heatwave severity. Excess drowning mortality during heatwaves was also calculated. RESULTS: Analyses reveal increased fatal drowning risk during heatwave for males (IRR 1.22, 95% CI 0.92 to 1.61), people aged 65+ years (IRR 1.36, 95% CI 0.83 to 2.24), unintentional drowning (IRR 1.28, 95% CI 0.98 to 1.69) and during severe heatwaves (IRR 1.26, 95% CI0.88 to 1.82). There were 13 excess drowning deaths due to heatwave over the study period. DISCUSSION: The findings confirm an increased risk of fatal drowning during heatwaves. With increased likelihood and severity of heatwaves, this information should be used to inform drowning prevention, in particular the timing of public awareness campaigns and patrolling of supervised aquatic locations. CONCLUSIONS: Water safety and patrolling organisations, as well as first responders, need to prepare for more drowning deaths during heatwave conditions. In addition, drowning prevention education ahead of heatwaves is needed for recreational swimmers, and older people, particularly those with comorbidities which may be further exacerbated by a heatwave.
The UK government has announced its ten-point plan to annually install 600,000 low-carbon heat pumps by 2028. However, there is a lack of evidence showing potential overheating risk in dwellings retrofitted with heat pumps. This paper examines the prevalence and magnitude of summertime overheating across 24 naturally ventilated social housing dwellings retrofitted with ground source heat pumps (GSHPs). The dwellings are located in a socially deprived area in Oxford (UK). The empirical study included longitudinal monitoring of indoor temperatures in the living rooms and bedrooms during the non-heating seasons of 2021 and 2022 (May-September), which included a record-breaking heatwave in July 2022. Indoor temperature and CO2 levels in bedrooms were monitored across a subset of six dwellings alongside the monitoring of window opening state in three bedrooms to understand the effect of natural ventilation in removing excess heat. About 136 thermal comfort surveys were conducted to ascertain the subjective responses of residents. Overheating risk assessment was carried out using CIBSE static and adaptive methods, which revealed that summertime overheating was prevalent across half of the dwellings in the non-heating season of 2022, as compared to 17% overheated dwellings in 2021. Bungalows with upgraded cavity wall insulation and top floor flats facing south and south-west had a propensity to overheat. The variation in indoor temperature and CO2 levels across a small sample also indicated the relationship between overheating and residents’ behaviour. Given that the majority of the dwellings were occupied by retired elderly people with low incomes who are vulnerable to heat and cannot afford active forms of cooling, it is vital to deploy passive design measures, such as appropriate shading devices that are suitable for a heating-dominated climate and enhanced ventilation, as part of home energy retrofits. Implementing reversible heat pumps coupled with solar PVs can provide cooling during heatwaves while delivering low-carbon heat in the winter.
Heat and cold are established environmental risk factors for human health. However, mapping the related health burden is a difficult task due to the complexity of the associations and the differences in vulnerability and demographic distributions. In this study, we did a comprehensive mortality impact assessment due to heat and cold in European urban areas, considering geographical differences and age-specific risks. METHODS: We included urban areas across Europe between Jan 1, 2000, and Dec 12, 2019, using the Urban Audit dataset of Eurostat and adults aged 20 years and older living in these areas. Data were extracted from Eurostat, the Multi-country Multi-city Collaborative Research Network, Moderate Resolution Imaging Spectroradiometer, and Copernicus. We applied a three-stage method to estimate risks of temperature continuously across the age and space dimensions, identifying patterns of vulnerability on the basis of city-specific characteristics and demographic structures. These risks were used to derive minimum mortality temperatures and related percentiles and raw and standardised excess mortality rates for heat and cold aggregated at various geographical levels. FINDINGS: Across the 854 urban areas in Europe, we estimated an annual excess of 203 620 (empirical 95% CI 180 882-224 613) deaths attributed to cold and 20 173 (17 261-22 934) attributed to heat. These corresponded to age-standardised rates of 129 (empirical 95% CI 114-142) and 13 (11-14) deaths per 100 000 person-years. Results differed across Europe and age groups, with the highest effects in eastern European cities for both cold and heat. INTERPRETATION: Maps of mortality risks and excess deaths indicate geographical differences, such as a north-south gradient and increased vulnerability in eastern Europe, as well as local variations due to urban characteristics. The modelling framework and results are crucial for the design of national and local health and climate policies and for projecting the effects of cold and heat under future climatic and socioeconomic scenarios. FUNDING: Medical Research Council of UK, the Natural Environment Research Council UK, the EU’s Horizon 2020, and the EU’s Joint Research Center.
We are in the midst of a global crisis of climate change and environmental degradation to which the healthcare sector directly contributes. Yet conceptions of health justice have little to say about the environment. They purport societies should ensure adequate health for their populations but fail to require doing so in ways that avoid environmental harm or injustice. We need to expand our understanding of health justice to consider the environment and do so without reinforcing the epistemic injustice inherent in the field of bioethics. This paper considers what work in philosophy related to the environment should be applied to help build that understanding and develops ideas about the healthcare sector’s responsibilities of justice to the environment. It first introduces the dominant multivalent environmental and ecological justice (EJ) concept in philosophy and each of its dimensions: distribution, participation, recognition and well-being. It then shows why applying that conception alone to broaden our understanding of health justice will reinforce epistemic injustice within bioethics. Drawing on EJ literature from the global South, the paper demonstrates that different ontological and experiential starting points identify additional EJ dimensions-power and harmony-and give rise to a nuanced understanding of the recognition dimension relative to the dominant EJ conception. The paper concludes by applying them to articulate healthcare sector responsibilities of justice to the environment, demonstrating they ground responsibilities beyond reducing its carbon emissions.
Melioidosis is an infectious disease caused by the bacterium Burkholderia pseudomallei. Although this environmental organism is endemic in certain regions of Australia, it is not considered endemic in Southern Queensland, where the last case was reported 21 years ago. We report a climate change-associated outbreak of melioidosis occurring during two La Niña events in a region previously considered nonendemic for B. pseudomallei. During a 15-month period, 14 cases of locally acquired melioidosis were identified. Twelve patients were adults (> 50 years), with diabetes mellitus the most common risk factor in 6 of 12 patients (50%). Eleven patients (79%) had direct exposure to floodwaters or the flooded environment. This study suggests an association between climate change and an increased incidence of melioidosis. In addition, this is the first report of environmental sampling and whole-genome analysis to prove endemicity and local acquisition in this region.
The paralytic shellfish poison toxin (PST)-producing dinoflagellate, Gymnodinium catenatum, frequently blooms in China, posing a threat to food safety and human health. To understand the drivers of G. catenatum blooms and predict potential habitats for G. catenatum under climate change, samples from occurrence localities and envi-ronmental datasets from multiple agencies were aggregated and used to model the habitat suitability of G. catenatum in the China Sea using a maximum entropy model (Maxent). The accumulated variable contribu-tions for the Maxent model were defined to measure the importance of key predictors in the model. The most important environmental variables were distance to the coastline, depth of seawater, and long-term average of the minimum annual temperature. This highlights the main reasons why G. catenatum blooms always occur in coastal waters. Occurrence probabilities higher than 0.66 were defined as habitats with high suitability for shellfish management and aquaculture. Projected habitats with high suitability in Haizhou Bay, coastal waters along the western Taiwan Strait, and Bohai Bay remained stable with increasing temperature by 2100, regardless of the IPCC Representative Concentration Pathways (RCPs). However, those in the China Sea would be reduced overall, leading to a northward movement of the center of integrated habitats. Habitats with a spatial area of >6000 km2 in the Bohai Sea, Yellow Sea, and South China Sea and >23,000 km2 in the East China Sea would be exposed to high risk under low greenhouse gas emission scenarios (RCP2.6).
We conducted a pre-registered, between-subjects experiment to investigate whether experiencing climate change consequences virtually can influence cognitions, emotions, and pro-environmental intentions and behaviors. Participants (N = 277) experienced a wildfire through different media that varied in their degree of technological immersiveness (virtual reality vs. regular video vs. magazine articles only). Participants in the virtual reality condition reported higher spatial presence, stronger emotional responses, stronger bodily responses, and reported that the experience felt more life-like. Increased spatial presence was associated with increased risk perceptions and negative emotions. Risk perceptions and negative emotions were subsequently associated with reduced intentions to consume dairy and meat, but not associated with actual plant-based food choices (vegan vs. non-vegan chocolate bar). Actual donations to ENGOs were only influenced by risk perceptions, not emotions. The role of psychological distance was explored, which led to different conclusions for quantitative (no effect of virtual reality) and qualitative measures (virtual reality can reduce psychological distance).
Extreme temperatures are triggering and exacerbating hospital admissions and health burdens; however, it is still understudied. Therefore, we evaluated the effects of the average temperature on overall hospitalisation and the average length of hospital stay. METHODS: Daily area-specific age-sex stratified hospitalisation records from 2006 to 2020 were collected from the National Health Research Institutes of Taiwan. The distributed lag non-linear model was used to estimate the area-specific relative risk (RR) and 95% CI associated with daily average temperature. Overall cumulative RR was pooled from area-specific RRs using random effects meta-analysis. Temperature effects of extreme high and low thresholds were also evaluated based on the 99th (32°C) and 5th (14°C) percentiles, respectively. RESULTS: Our findings suggested that the elderly (age ≥65 years) are vulnerable to temperature effects, while differential gender effects are not explicit in Taiwan. A higher risk of in-patient visits was seen among the elderly during extreme low temperatures (RR 1.08; 95% CI 1.04 to 1.11) compared with extreme high temperatures (RR 1.07; 95% CI 1.05 to 1.10). Overall, high-temperature extremes increased the risk of hospitalisation with an RR of 1.05 (95% CI 1.03 to 1.07) among the all-age-sex population in Taiwan. Additionally, lag-specific analysis of the study revealed that high-temperature effects on in-patient visits are effective on the same day of exposure, while cold effects occurred after 0-2 days of exposure. The average length of hospital stays can also increase with high-temperature extremes among age group 41-64 years and the elderly. CONCLUSION: Public health preparedness should consider the increased load on health facilities and health expenditures during extreme temperatures.
During summer heat waves, road workers are easily exposed to heat stress and faced with a high risk of thermal diseases and death, and thus preventive measures are required for their safety at the work site. To prepare response measures, it is necessary to estimate workers’ perceived temperature (PT) according to exposure time, road environment, clothing type, and work intensity. This study aimed to examine radiation (short-wave radiation and long-wave radiation) and other meteorological factors (temperature, humidity, and wind) in an actual highway work environment in summer and to estimate PT using the observation data. Analysis of radiation and meteorological factors on the road according to pavement type and weather revealed that more heat was released from asphalt than from concrete. Regression model analysis indicated that compared with young workers (aged 25-30 years), older workers (aged >= 60 years) showed a rapid increase in PT as the temperature increased. The temperatures that people actually feel on concrete and asphalt roads in heat wave conditions can be predicted using the PT values calculated by the regression models. Our findings can serve as a basis for measures to prevent workers from thermal diseases at actual road work sites.
Anthropogenic climate change is unequivocal, and many of its physical health impacts have been identified, although further research is required into the mental health and wellbeing effects of climate change. There is a lack of understanding of the importance of ethics in policy-responses to health and climate change which is also linked to the lack of specific action-guiding ethical resources for researchers and practitioners. There is a marked paucity of ethically-informed health input into economic policy-responses to climate change-an area of important future work. The interaction between health, climate change and ethics is technically and theoretically complex and work in this area is fragmentary, unfocussed, and underdeveloped. Research and reflection on climate and health is fragmented and plagued by disciplinary silos and exponentially increasing literature means that the field cannot be synthesised using conventional methods. Reviewing the literature in these fields is therefore methodologically challenging. Although many of the normative challenges in responding to climate change have been identified, available theoretical approaches are insufficiently robust, and this may be linked to the lack of action-guiding support for practitioners. There is a lack of ethical reflection on research into climate change responses. Low-HDI (Human Development Index) countries are under-represented in research and publication both in the health-impacts of climate change, and normative reflection on health and climate change policy. There is a noticeable lack of ethical commentary on a range of key topics in the environmental health literature including population, pollution, transport, energy, food, and water use. Serious work is required to synthesise the principles governing policy responses to health and climate change, particularly in relation to value conflicts between the human and non-human world and the challenges presented by questions of intergenerational justice.
West Nile virus (WNV), a mosquito-borne zoonosis, has emerged as a disease of public health concern in Europe. Recent outbreaks have been attributed to suitable climatic conditions for its vectors favoring transmission. However, to date, projections of the risk for WNV expansion under climate change scenarios is lacking. Here, we estimate the WNV-outbreaks risk for a set of climate change and socioeconomic scenarios. We delineate the potential risk-areas and estimate the growth in the population at risk (PAR). We used supervised machine learning classifier, XGBoost, to estimate the WNV-outbreak risk using an ensemble climate model and multi-scenario approach. The model was trained by collating climatic, socioeconomic, and reported WNV-infections data (2010-22) and the out-of-sample results (1950-2009, 2023-99) were validated using a novel Confidence-Based Performance Estimation (CBPE) method. Projections of area specific outbreak risk trends, and corresponding population at risk were estimated and compared across scenarios. Our results show up to 5-fold increase in West Nile virus (WNV) risk for 2040-60 in Europe, depending on geographical region and climate scenario, compared to 2000-20. The proportion of disease-reported European land areas could increase from 15% to 23-30%, putting 161 to 244 million people at risk. Across scenarios, Western Europe appears to be facing the largest increase in the outbreak risk of WNV. The increase in the risk is not linear but undergoes periods of sharp changes governed by climatic thresholds associated with ideal conditions for WNV vectors. The increased risk will require a targeted public health response to manage the expansion of WNV with climate change in Europe.
BACKGROUND: The increase in global temperature and urban warming has led to the exacerbation of heatwaves, which negatively affect human health and cause long-term loss of work productivity. Therefore, a global assessment in temperature variation is essential. OBJECTIVE: This paper is the first of its kind to propose land-use based spatial machine learning (LBSM) models for predicting highly spatial-temporal variations of wet-bulb globe temperature (WBGT), which is a heat stress indicator used to assess thermal comfort in indoor and outdoor environments, specifically for the main island of Taiwan. METHODS: To develop spatiotemporal prediction models for both the working period and noon period, we calculated the WBGT of each weather station from 2001 to 2019 using temperature, humidity, and solar radiation data. These WBGT estimations were then used as the dependent variable for developing the spatiotemporal prediction models. To enhance model performance, we used innovative approaches that combined SHapley Additive exPlanations (SHAP) values for the selection of non-linear variables, along with machine learning algorithms for model development. RESULTS: When incorporating temperature along with other land-use/land cover predictor variables, the performance of LBSM models was excellent, with an R(2) value of up to 0.99. The LBSM models explained 98% and 99% of the spatial-temporal variations in WBGT for the working and noon periods, respectively, within the complete models. In the temperature-excluded models, the explained variances were 94% and 96% for the working and noon periods, respectively. IMPACT: WBGT is a common method used by many organizations to access the impact of heat stress on human beings. However, limited studies have mentioned the association between WBGT and health impacts due to the absence of spatiotemporal databases. This study develops a new approach using land-use-based spatial machine learning (LBSM) models to better predict the fine spatial-temporal WBGT levels, with a 50-m × 50-m grid resolution for both working time and noontime. Our proposed methodology could be used in future studies aimed at evaluating the potential long-term loss of work productivity due to the effects of global warming or urban heat island.
Disaster response refers to any action taken and performed by disaster team managers after and during a disaster. According to the prevalence of the coronavirus and the unpredictability of the behavior of this virus, the capacities of hospitals and medical centers have been overshadowed by this epidemic. Governments have set up temporary rehabilitation centers to control the epidemic, make better use of resources, and quarantine COVID-19 patients. The Tehran (Iran) Disaster Management Organization has designated centers to house the injured and displaced during natural disasters such as floods and earthquakes. In this study, the efficiency and sustainability of the evaluation criteria of selected disaster management centers were evaluated in three scenarios: disaster conditions (natural disasters), epidemic conditions, and disaster-epidemic situations. Firstly, the research criteria were classified by experts using the fuzzy Delphi method and weighted using the triangular fuzzy aggregation method. In addition, the criteria are evaluated as information layers in the Geographic Information System (GIS) and the relief locations determined by the disaster management are evaluated against the research criteria. By forming a decision matrix, the alternatives in all three scenarios were prioritized using the PROMETHEE Method and evaluated in terms of efficiency. As a results, the main ways criterion shown with an impact factor of 13% among the evaluation criteria of centers in disaster situations. Additionally, the security criterion with an impact factor of 22% among the evaluation criteria of centers in epidemic conditions achieved the most important criteria in the PROMETHEE ranking.
OBJECTIVE: Climate change, an underlying risk driver of natural disasters, threatens the environmental sustainability, planetary health, and sustainable development goals. Incorporating disaster-related health impacts into electronic health records helps to comprehend their impact on populations, clinicians, and healthcare systems. This study aims to: (1) map the United Nations Office for Disaster Risk Reduction and International Science Council (UNDRR-ISC) Hazard Information Profiles to SNOMED CT International, a clinical terminology used by clinicians, to manage patients and provide healthcare services; and (2) to determine the extent of clinical terminologies available to capture disaster-related events. MATERIALS AND METHODS: Concepts related to disasters were extracted from the UNDRR-ISC’s Hazard Information Profiles and mapped to a health terminology using a procedural framework for standardized clinical terminology mapping. The mapping process involved evaluating candidate matches and creating a final list of matches to determine concept coverage. RESULTS: A total of 226 disaster hazard concepts were identified to adversely impact human health. Chemical and biological disaster hazard concepts had better representation than meteorological, hydrological, extraterrestrial, geohazards, environmental, technical, and societal hazard concepts in SNOMED CT. Heatwave, drought, and geographically unique disaster hazards were not found in SNOMED CT. CONCLUSION: To enhance clinical reporting of disaster hazards and climate-sensitive health outcomes, the poorly represented and missing concepts in SNOMED CT must be included. Documenting the impacts of climate change on public health using standardized clinical terminology provides the necessary real time data to capture climate-sensitive outcomes. These data are crucial for building climate-resilient healthcare systems, enhanced public health disaster responses and workflows, tracking individual health outcomes, supporting disaster risk reduction modeling, and aiding in disaster preparedness, response, and recovery efforts.
With the expectation of increasing frequency and magnitude of extreme events caused by climate change, one of the most critical yet overlooked aspects of building design in the industry is thermal resilience. An effective way to assess and quantify a building’s resilience in the design phase is through modeling and simulation; however, there has been limited effort invested in operationalizing this practice. The purpose of this paper is to provide a critical review of past modeling and simulation research focused on quantifying the thermal resilience of buildings, and to discuss future areas of research that are needed to enhance and standardize practice, as well as building codes and standards. The paper begins by defining a framework for building performance simulationaided resilience quantification. Next, we review the current state of the art research on a variety of topics such as heat stress and resilience metrics, model assumptions and setup, simulation tool capabilities, weather file type selection, and methods to visualize and communicate resilience. Finally, a discussion on the fundamental research and future tool development needs to accelerate transition from research into practice is presented.
The main reason for technological developments is to make human life more comfortable. Bioclimatic comfort areas are areas where people feel the most comfortable and comfortable in terms of climate. As a result of global climate changes, the temperature in the world is increasing day by day moreover increase in terms of people living in our country and other countries which the need for comfortable and comfortable spaces increases in all seasons. Bioclimatic comfort areas are the most needed in the summer months. However, the average temperature increases day by day in all seasons due to climate change. For this reason, within the scope of this study, the most suitable bioclimatic comfort areas were calculated with the HEAT index by using the average temperature and humidity maps for the fall, winter, spring, and summer seasons of 2019. While creating temperature and humidity maps, a point database was created for the neighborhoods in Kocaeli Province, temperature and humidity data were combined in this database. The temperature and humidity map for each season was open-source code the Inverse Distance Weighted (IDW) interpolation method in the QGIS 3.16 software was transformed into a map in raster format. The heat index was created by using temperature and relative humidity maps in raster format. Then, the relationship between the created heat index maps and morphological factors was examined.
Sub-micron particles are ubiquitous in the indoor environment, especially during wildfire smoke episodes, and have a higher impact on human health than larger particles. Conventional fibrous air filters installed in heating, ventilation, and air conditioning (HVAC) systems play an important role in controlling indoor air quality by removing various air pollutants, including particulate matter (PM). However, it is evident that the removal efficiency of wildfire smoke PM and its effect on filter performance is significantly under-studied. This study delves into the size-specific removal efficiency of pine needle smoke, a representative of wildfire smoke and emissions. We test an array of filter media with minimum efficiency reporting values (MERV) spanning 11-15. Both size-resolved particle number concentrations and mass concentrations were measured using an Optical Particle Sizer (OPS, TSI, Inc.) and a Scanning Mobility Particle Sizer (SMPS, TSI, Inc.). Furthermore, we characterize the filter media morphology and smoke particles deposited on filter fibers using Scanning Electron Microscopy (SEM) to gain insights into the interaction dynamics of these particles. Our findings add to the comprehension of the relationship between MERV designations and smoke removal efficiency. Such insight can inform standards and guidelines and equip decision-makers with the knowledge needed to initiate measures for mitigating the impact of air pollution, specifically on the indoor environment.
Global warming due to increased outdoor carbon dioxide (CO(2)) levels may cause several health problems such as headaches, cognitive impairment, or kidney dysfunction. It is predicted that further increases in CO(2) levels will increase the morbidity and mortality of patients affected by a variety of diseases. For instance, patients with Chronic Obstructive Pulmonary Disease (COPD) may suffer cognitive impairments or intracranial bleeding due to an increased cerebral blood flow rate. Predicting the harmful effects of global warming on human health will help to take measures for potential problems. Therefore, the quantification of physiological parameters is an essential step to investigate the effects of global warming on human health. In this study, the effects of increased outdoor temperatures due to climate change on cerebral blood flow rate and respiratory function in healthy subjects and COPD patients with anemia and respiratory acidosis are evaluated utilizing numerical simulations. The numerical model simulates cardiac function and blood circulation in systemic, pulmonary and cerebral circulations, cerebral autoregulatory functions, respiratory function, alveolar gas exchange, oxygen (O(2)) and CO(2) contents, and hemoglobin levels in the blood. The simulation results show that although the cardiovascular function is not significantly altered, the respiratory function and cerebral blood flow rates are altered remarkably.
The increasing reports of multidrug-resistant Klebsiella pneumoniae have emerged as a public health concern, raising questions about the potential routes for the evolution and dissemination of the pathogenic K. pneumoniae into environmental reservoirs. Potential drivers of the increased incidence of antimicrobial-resistant environmental K. pneumoniae include the eminent global climatic variations as a direct or indirect effect of human activities. The ability of microorganisms to adapt and grow at an exponential rate facilitates the distribution of environmental strains with acquired resistant mutations into water systems, vegetation, and soil which are major intersection points with animals and humans. The bacterial pathogen, K. pneumoniae, is one of the critical-priority pathogens listed by the World Health Organization, mostly associated with hospital-acquired infections. However, the increasing prevalence of pathogenic environmental strains with similar characteristics to clinical-antibiotic-resistant K. pneumoniae isolates is concerning. Considering the eminent impact of global climatic variations in the spread and dissemination of multidrug-resistant bacteria, in this review, we closely assess factors influencing the dissemination of this pathogen resulting in increased interaction with the environment, human beings, and animals. We also look at the recent developments in rapid detection techniques as part of the response measures to improve surveillance and preparedness for potential outbreaks. Furthermore, we discuss alternative treatment strategies that include secondary metabolites such as biosurfactants and plant extracts with high antimicrobial properties.
Numerous environmental contaminants significantly contribute to human disease, affecting climate change and public and individual health, resulting in increased mortality and morbidity. Because of the scarcity of information regarding pollution exposure from less developed nations with inadequate waste management, higher levels of poverty, and limited adoption of new technology, the relationship between pollutants and health effects needs to be investigated more. A similar situation is present in many developed countries, where solutions are only discovered after the harm has already been done and the necessity for safeguards has subsided. The connection between environmental toxins and health needs to be better understood due to difficulties in quantifying exposure levels and a lack of systematic monitoring. Different pollutants are to blame for both chronic and acute disorders. Additionally, research becomes challenging when disease problems are seen after prolonged exposure. This review aims to discuss the present understanding of the association between environmental toxins and human health in bridging this knowledge gap. The genesis of cancer and the impact of various environmental pollutants on the human body’s cardiovascular, respiratory, reproductive, prenatal, and neural health are discussed in this overview.
Candia auris is an emerging human pathogenic yeast; yet, despite phenotypic attributes and genomic evidence suggesting that it probably emerged from a natural reservoir, we know nothing about the environmental phase of its life cycle and the transmission pathways associated with it. The thermotolerant characteristics of C. auris have been hypothesised to be an environmental adaptation to increasing temperatures due to global warming (which may have facilitated its ability to tolerate the mammalian thermal barrier that is considered a protective strategy for humans against colonisation by environmental fungi with pathogenic potential). Thus, C. auris may be the first human pathogenic fungus to have emerged as a result of climate change. In addition, the release of antifungal chemicals, such as azoles, into the environment (from both pharmaceutical and agricultural sources) is likely to be responsible for the environmental enrichment of resistant strains of C. auris; however, the survival and dissemination of C. auris in the natural environment is poorly understood. In this paper, we critically review the possible pathways through which C. auris can be introduced into the environment and evaluate the environmental characteristics that can influence its persistence and transmission in natural environments. Identifying potential environmental niches and reservoirs of C. auris and understanding its emergence against a backdrop of climate change and environmental pollution will be crucial for the development of effective epidemiological and environmental management responses.
Australia has objectively suffered climate extreme-driven loss and damage-climate change impacts that cannot or will not be avoided. Recent national surveys demonstrate a growing awareness of the link between climate change and climate extremes. However, climate extremes interact with existing environmental subjectivities (i.e., how people perceive, understand, and relate to the environment), which leads to different social, cultural, and political responses. For example, people in northern Australia are familiar with climate extremes, with the heat, humidity, fires, floods, storms, and droughts intimately connected to identities and sense of place. In this climate ethnography, I demonstrate the value of undertaking environmental subjectivities analyses for research on climate-society relations. I detail how environmental subjectivities influence people’s experiences, or non-experiences, of climate extreme-driven loss and damage in northern Australia. I identify a growing concern for climate change and climate extremes are influencing environmental subjectivities. Yet, many northern Australians-even people concerned about climate change-are not, for now, connecting extreme events to climate change. A widespread subjectivity of anticipatory loss supplied people with an imagined temporal buffer, which contributes to non-urgency in political responses. Together with more structural political-economic barriers and a sense of helplessness to affect progressive change, limited action beyond individual consumer decisions and small-scale advocacy are occurring. These, amongst other, findings extend research on the role of climate extremes in climate opinion, lived experiences of loss and damage in affluent contexts, and the environmental value-action gap.
INTRODUCTION: Chronic musculoskeletal conditions affect billions of individuals and constitute the greatest contributor to disability worldwide. Climate change has a negative impact on these conditions, causing a rising number of patients seeking medical attention in outpatient orthopaedic and rheumatology clinics. Due to the COVID-19 pandemic, the delivery of care by these facilities tends to become more energy-intensive due to the increased usage of protective equipment and testing for the purpose of maintaining hygienic conditions. Therefore, practitioners and health bodies in the field need to take action to make their practice more environmentally sustainable and protect both the environment and their patients. METHODS: The authors searched peer reviewed and grey literature for relevant sources. RESULTS: The present review of the literature provides an overview of the environmental pollution associated with outpatient musculoskeletal care and discusses evidence-based recommendations from previous studies. CONCLUSION: Telemedicine, rationalised use of consumables and equipment, physician-led climate advocacy and patient education have a major potential to turn the tide.
BACKGROUND: The healthcare sector is responsible for 4%-10% of global greenhouse gas emissions. Considering the broad range of care that obstetricians and gynaecologists provide, mitigation strategies within this specialty could result in significant reductions of the environmental footprint across the whole healthcare industry. OBJECTIVES: The aim of this review was to identify for what services, procedures and products within obstetric and gynaecological care the environmental impact has been studied, to assess the magnitude of such impact and to identify mitigation strategies to diminish it. SEARCH STRATEGY: The search strategy combined terms related to environmental impact, sustainability, climate change or carbon footprint, with the field of obstetrics and gynaecology. SELECTION CRITERIA: Articles reporting on the environmental impact of any service, procedure or product within the field of obstetrics and gynaecology were included. Included outcomes covered midpoint impact categories, CO(2) emissions, waste generation and energy consumption. DATA COLLECTION AND ANALYSIS: A systematic literature search was conducted in the databases of MEDLINE (Ovid), Embase (Ovid) and Scopus, and a grey literature search was performed on Google Scholar and two websites of gynaecological associations. MAIN RESULTS: The scope of the investigated studies encompassed vaginal births, obstetric and gynaecological surgical procedures, menstrual products, vaginal specula and transportation to gynaecological oncologic consultations. Among the highest yielding mitigation strategies were displacing disposable with reusable materials and minimising content of surgical custom packs. The lowest yielding mitigation strategy was waste optimisation, including recycling. CONCLUSIONS: This systematic review highlights opportunities for obstetricians and gynaecologists to decrease their environmental footprint in many ways. More high-quality studies are needed to investigate the environmental impact of other aspects of women’s and reproductive health care.
Climate change is an urgent public health crisis that significantly impacts disease development, health outcomes, and access to care. The major approaches to climate change are mitigation and adaptation. The purpose of this review is to discuss the effects of climate change on health and health disparities, review the carbon footprint of surgical care and discuss strategies for surgeons to reduce emissions and advocate for sustainability. RECENT FINDINGS: Recent studies increasingly demonstrate the direct and indirect health effects of climate change, including the relationship between climate and otolaryngologic disease. Within the domain of otolaryngology, we summarize findings related to climate change and health and healthcare delivery; health disparities; healthcare-associated emissions; and the role of otolaryngologists in mitigating and adapting to the climate crisis. There are many recent studies that identify impactful sustainability opportunities and initiatives for healthcare providers. Climate solutions may also reduce cost and have potential clinical benefits. SUMMARY: Climate change and air pollution directly impact disease burden in otolaryngology patients and are underrecognized social determinants of health. Surgeons can lead on climate change by implementing sustainability initiatives in the operating room and engaging in research and advocacy.
Climate change has a broad range of health impacts and tackling climate change could be the greatest opportunity for improving global health this century. Yet conversations on climate change and health are often incomplete, giving little attention to structural discrimination and the need for racial justice. Racism kills, and climate change kills. Together, racism and climate change interact and have disproportionate effects on the lives of minoritised people both within countries and between the Global North and the Global South. This paper has three main aims. First, to survey the literature on the unequal health impacts of climate change due to racism, xenophobia, and discrimination through a scoping review. We found that racially minoritised groups, migrants, and Indigenous communities face a disproportionate burden of illness and mortality due to climate change in different contexts. Second, this paper aims to highlight inequalities in responsibility for climate change and the effects thereof. A geographical visualisation of responsibility for climate change and projected mortality and disease risk attributable to climate change per 100 000 people in 2050 was conducted. These maps visualise the disproportionate burden of illness and mortality due to climate change faced by the Global South. Our third aim is to highlight the pathways through which climate change, discrimination, and health interact in most affected areas. Case studies, testimony, and policy analysis drawn from multidisciplinary perspectives are presented throughout the paper to elucidate these pathways. The health community must urgently examine and repair the structural discrimination that drives the unequal impacts of climate change to achieve rapid and equitable action.
As Earth’s climate warms, outdoor thermal conditions that threaten human life are becoming more frequent and severe. To prepare and adapt effectively to this challenge, an understanding of both current baseline thermal conditions and how thermal conditions will change throughout the 21st century is vital. However, current efforts to measure and model baseline thermal conditions have generally ignored the contributions of radiation, and have been performed at coarse temporal and spatial resolutions. In this study, we present the first hourly multidecadal bioclimatology of mean radiant temperature and the Universal Thermal Climate Index, driven by meteorological reanalysis data and processed using the Solar and LongWave Environmental Irradiance Geometry model. This process allows for the calculation of the influence of urban geometry on radiation fluxes at 1 m spatial scale. The results demonstrated that this technique provides significant insight into thermal stress conditions, while also presenting some inherent challenges. The presence of bimodal thermal stress conditions driven by shade, significant variability of heat stress conditions on multiple time scales, and differences in the factors that drive extreme heat and cold stress were revealed. Our study showed that such high-resolution modelling of thermal stress is a feasible technique with the potential to provide significant value in understanding outdoor thermal stress in complex urban environments.
Amidst climate change, the importance of climate-adaptive design in architecture and landscape design has surged, particularly in residential courtyards, where optimizing the microclimate is paramount to residents’ wellbeing. Traditional spatial indices, however, fall short in accurately characterizing complex courtyards and local spatial features. To overcome these limitations, this study introduces pixel-level spatial indicators that effectively overcome these constraints. These indicators are implemented using computational geometry algorithms such as Ray Tracing, Flood Fill, and A*, enabling simulation of various courtyard spatial indicator maps. We also utilize Graphics Processing Unit (GPU)-based rapid thermal comfort simulation technology to generate thermal comfort maps. By applying data mining methods such as Partial Least Squares Regression (PLSR), Pearson correlation, and Nearest-neighbor interpolation, we explore the relationships between spatial indicators and thermal comfort, ultimately identifying key indicators and determining the guiding thresholds and influencing trends corresponding to heat discomfort frequency. Six key indicators and th emerge: Building View Factor (BVF), indicating building coverage visibility (prefer above 0.11); Solar Beam Fraction (BEAM), illustrating Summer solstice sun shading condition (prefer below 0.78); Averaged View Factor (AVF), showing overall visibility (prefer below 0.40); Directional Sky View Factor (DSVF(W)), reflecting sky visibility in a specific orientation (prefer below 0.73); Tree View Factor (TVF), denoting tree coverage visibility (prefer above 0.18); and Plan Water Ratio (PWR), signifying water surface proportion (aim for below 0.44). These insights, integrated into design tools, contribute to evidence-based microclimate regulation strategies, thereby enhancing urban residents’ thermal comfort and overall well-being.
Focused on the case of Ankara, human thermophysiological thresholds were investigated in association with typical morphological characteristics to determine the frequency of seasonal Heat/ Cold Stress. The study further developed methodical means to better understand the relationship with local radiation exposure within in-situ settings, allowing for the better understanding of seasonal thermophysiological exposure upon human biometeorology. To approach future vulnerability and frequency of thermophysiological stress, daily EURO-CORDEX data was processed to determine Representative Concentration Pathway scenario projections (for air temperature and Physiologically Equivalent Temperature (PET)). The study highlighted the already significant urban frequencies of heat stress (ranging up to 82.7%) due to all districts witnessing an elevated frequency of low aspect ratios. The fewer midrange aspect ratios also revealed to be frequently in orientations with higher heat stress susceptibilities (i.e., between 105 degrees and 150 degrees). Bioclimatic planning recommendations were presented for Ankara. Nevertheless, given the high vulnerability for existing/future urban human health and welfare, these recommendations were further associated with the call for immediate heat action plans and heat warning/mapping systems. In these first type of projections for Ankara, even for the milder/stabilization future scenario by 2100, PET based projections revealed frequencies remaining at 100% between 35.1 degrees C-41.1 degrees C, with further values exceeding 46.1 degrees C.
The construction industry is significantly influenced by various outdoor weather factors, which affect the thermal comfort of workers and, subsequently their productivity and health. Existing studies regarding outdoor thermal comfort only consider the daytime or a specific season. However, this study considers all seasons and regions based on accident data and aims to analyze the relationship between construction accidents and the outdoor thermal comfort index based on the frequency and probabilities by using accident data from the construction industry. In addition, Physiological equivalent temperature groups based on their impact on accidents are developed to classify the accident probability by climate index level. This study is conducted in the following five steps: (i) collection of data, (ii) calculation of the outdoor thermal comfort, (iii) calculation of the relative frequency, and (iv) conducting statistical analyses. As a result of the relative probability analysis, which is the concept of probability, it was found that the probability of accidents was the highest at PET temperature of 34.7 degrees C and 2.95. That is, as the PET temperature decreases or increases, the relative frequency indicating the probability of an accident increases. In addition, seven outdoor thermal comfort index grades were classified based on relative frequency.
Refurbishing buildings to minimize lifecycle costs and increase reliance on natural ventilation may reduce building resilience to extreme weather. This is critical for elderly whose health is affected by exposure to thermally stressful conditions. This study proposes a novel approach for refurbishing elderly houses to enhance their sustainability and heatwave resilience with the aim of supporting low-income groups. This approach involves using multi-objective optimization to identify refurbishment parameters and an autonomous control strategy to provide thermoneutral indoor conditions at a low cost. The optimization procedure and control strategy were applied to a case study for a representative apartment in the Mediterranean climate using a validated building model. The strategy led to substantial reduction (61%) in cooling energy, while the optimization yielded Pareto solutions that showed trade-offs between lifecycle cost and resilience. A selected solution resulted in reduced electrical usage for heating (37%) and cooling (45%) and decreased indoor overheating during heatwaves. The study recommends design features for cost-effective and resilient elderly housing in the Mediterranean climate, such as lim-ited window area, enhanced thermal properties, and a modest air conditioning system for low-income populations. Larger windows and AC systems are recommended for high income populations seeking reduced operational expenses and improved sustainability. (c) 2023 Elsevier B.V. All rights reserved.
In sub-Saharan Africa, temperatures are generally conducive to malaria transmission, and rainfall provides mosquitoes with optimal breeding conditions. The objective of this study is to assess the impact of future climate change on malaria transmission in West Africa using community-based vector-borne disease models, TRIeste (VECTRI). This VECTRI model, based on bias-corrected data from the Phase 6 Coupled Model Intercomparison Project (CMIP6), was used to simulate malaria parameters, such as the entomological inoculation rate (EIR). Due to the lack of data on confirmed malaria cases throughout West Africa, we first validated the forced VECTRI model with CMIP6 data in Senegal. This comparative study between observed malaria data from the National Malaria Control Program in Senegal (Programme National de Lutte contre le Paludisme, PNLP, PNLP) and malaria simulation data with the VECTRI (EIR) model has shown the ability of the biological model to simulate malaria transmission in Senegal. We then used the VECTRI model to reproduce the historical characteristics of malaria in West Africa and quantify the projected changes with two Shared Socio-economic Pathways (SSPs). The method adopted consists of first studying the climate in West Africa for a historical period (1950-2014), then evaluating the performance of VECTRI to simulate malaria over the same period (1950-2014), and finally studying the impact of projected climate change on malaria in a future period (2015-2100) according to the ssp245 ssp585 scenario. The results showed that low-latitude (southern) regions with abundant rainfall are the areas most affected by malaria transmission. Two transmission peaks are observed in June and October, with a period of high transmission extending from May to November. In contrast to regions with high latitudes in the north, semi-arid zones experience a relatively brief transmission period that occurs between August, September, and October, with the peak observed in September. Regarding projections based on the ssp585 scenario, the results indicate that, in general, malaria prevalence will gradually decrease in West Africa in the distant future. But the period of high transmission will tend to expand in the future. In addition, the shift of malaria prevalence from already affected areas to more suitable areas due to climate change is observed. Similar results were also observed with the ssp245 scenario regarding the projection of malaria prevalence. In contrast, the ssp245 scenario predicts an increase in malaria prevalence in the distant future, while the ssp585 scenario predicts a decrease. These findings are valuable for decision makers in developing public health initiatives in West Africa to mitigate the impact of this disease in the region in the context of climate change.
BACKGROUND: Acting on social determinants is the most effective, efficient, and fairest strategy to improve population health and health equity. Because of their vulnerability and dependence, children are particularly exposed to the deleterious effects of their living environment. Taking these issues into account in the development of public policies and identifying levers for action are crucial. The objective of this scoping review of reviews is to identify the main environmental determinants on children’s health and development, and their mechanisms of effect, to be addressed by public policies. METHODS: We conducted a scoping review of reviews in accordance with the method developed by Arksey and O’Malley, and Levac and colleagues’ methodology advancement and the PRISMA guideline. Inclusion criteria were identified with the PICos (population-phenomena of interest-context-study design) framework. We used the PubMed database and conducted a thematic analyze. RESULTS: Forty-seven articles were selected. Their analysis allowed us to identify five categories of interdependent environmental determinants of child health: i) urban design ii) contaminants, iii) parenting environment, iv) social conditions, v) climate change. Together and in a systemic way, they act on the health of the child. CONCLUSION: The review carried out allows us to propose a pragmatic framework for clarifying the effects of the physical, social, and economic environment on children’s health and wellbeing.
Sustainable diets are key for mitigating further anthropogenic climate change and meeting future health and sustainability goals globally. Given that current diets need to change significantly, novel/future foods (e.g., insect meal, cultured meat, microalgae, mycoprotein) present options for protein alternatives in future diets with lower total environmental impacts than animal source foods. Comparisons at the more concrete meal level would help consumers better understand the scale of environmental impacts of single meals and substitutability of animal sourced foods with novel foods. Our aim was to compare the environmental impacts of meals including novel/future foods with those of vegan and omnivore meals. We compiled a database on environmental impacts and nutrient composition of novel/future foods and modeled the impacts of calorically similar meals. Additionally, we applied two nutritional Life Cycle Assessment (nLCA) methods to compare the meals in terms of nutritional content and environmental impacts in one index. All meals with novel/future foods had up to 88 % less Global Warming Potential, 83 % less land use, 87 % less scarcity-weighted water use, 95 % less freshwater eutrophication, 78 % less marine eutrophication, and 92 % less terrestrial acidification impacts than similar meals with animal source foods, while still offering the same nutritional value as vegan and omnivore meals. The nLCA indices of most novel/future food meals are similar to protein-rich plant-based alternative meals and show fewer environmental impacts in terms of nutrient richness than most animal source meals. Substituting animal source foods with certain novel/future foods may provide for nutritious meals with substantial environmental benefits for sustainably transforming future food systems.
There is a direct and accelerating connection between ongoing environmental change, the unprecedented decline in biodiversity, and the increase in infectious disease epidemiology worldwide. Rising global temperatures are threatening the biodiversity that underpins the richness and diversity of flora and fauna species in our ecosystem. Anthropogenic activities such as burning fossil fuels, deforestation, rapid urbanization, and expanding population are the primary drivers of environmental change resulting in biodiversity collapse. Climate change is influencing the emergence, prevalence, and transmission of infectious diseases both directly and through its impact on biodiversity. The environment is gradually becoming more suitable for infectious diseases by affecting a variety of pathogens, hosts, and vectors and by favoring transmission rates in many parts of the world that were until recently free of these infections. The acute effects of these zoonotic, vector and waterborne diseases are well known; however, evidence is emerging about their role in the development of chronic kidney disease. The pathways linking environmental change and biodiversity loss to infections impacting kidney health are diverse and complex. Climate change and biodiversity loss disproportionately affect the vulnerable and limit their ability to access healthcare. The kidney health community needs to contribute to the issue of environmental change and biodiversity loss through multisectoral action alongside government, policymakers, advocates, businesses, and the general population. We describe various aspects of the environmental change effects on the transmission and emergence of infectious diseases particularly focusing on its potential impact on kidney health. We also discuss the adaptive and mitigation measures and the gaps in research and policy action.
Environmental factors are important causes that impair global pregnancy outcomes and are, importantly, responsible for maternal morbidity and mortality. However, apart from the direct reasons for maternal deaths, mainly obstetric and neonatal complications, such factors are ignored or given less importance. The recent surge in research on the impact of various environmental factors on pregnancy outcomes suggests the need for immediate attention to such factors and device-specific policies to counter the situation. Moreover, the recent coronavirus disease of 2019 (COVID-19) pandemic, global warming, and climate change showed a lack of preparedness to counter the impact of such events on maternal survival and safe and successful pregnancy outcomes. In the present review, we have emphasized the specific factors responsible for increased maternal and neonatal deaths and their association with specific environmental factors. Increased attention on maternal healthcare, preparedness to counter sudden environmental challenges and improvement of the conventional requirement for better maternal healthcare access and nutrition at a global level may improve the scenario.
Stroke is a leading cause of death and adult disability globally. In addition to traditional risk factors, environmental risk factors have emerged over the recent past and are becoming increasingly important. The disproportionate rise of stroke incidence in low- and middle-income countries has been attributed, at least in part, to environmental factors. This narrative review provides details on the interplay between the environment and health generally and stroke specifically, covering topics including air pollution, atmospheric brown clouds, desert dust storms, giant wildfires, chemical contamination, biological aggressors, urbanization, and climate change. It also covers some beneficial environmental effects such as can be harnessed from the exposure to green spaces. It concludes with a summary of pragmatic actions that can be taken to help address some of these challenges at individual, community, and political advocacy levels.
This review provides an overview of the impact of air pollution on respiratory health, by examining the relationship between air pollution and climate change, as well as the effects of indoor and outdoor allergens, on airway respiratory health.Recent FindingsThe majority of the world’s population is exposed to air pollution levels that exceed the WHO’s air quality standards. Outdoor air pollution, particularly traffic-related air pollution, is linked to several respiratory disorders. Indoor air pollution resulting from the use of biomass and coal for cooking and heating is a significant contributor to respiratory illnesses. Climate change worsens air pollution by increasing the severity and frequency of extreme weather events, leading to higher levels of outdoor allergens.Air pollution is a public health issue globally, and its deleterious effects on respiratory health are particularly concerning. The interplay between air pollution and climate change poses a significant threat to vulnerable populations.
IMPORTANCE: The healthcare sector is essential to human health and well-being, yet its significant carbon footprint contributes to climate change-related threats to health. OBJECTIVE: To review systematically published studies on environmental impacts, including carbon dioxide equivalent (CO(2)e) emissions, of contemporary cardiovascular healthcare of all types, from prevention through to treatment. EVIDENCE REVIEW: We followed the methods of systematic review and synthesis. We conducted searches in Medline, EMBASE and Scopus for primary studies and systematic reviews measuring environmental impacts of any type of cardiovascular healthcare published in 2011 and onwards. Studies were screened, selected and data were extracted by two independent reviewers. Studies were too heterogeneous for pooling in meta-analysis and were narratively synthesised with insights derived from content analysis. FINDINGS: A total of 12 studies estimating environmental impacts, including carbon emissions (8 studies), of cardiac imaging, pacemaker monitoring, pharmaceutical prescribing and in-hospital care including cardiac surgery were found. Of these, three studies used the gold-standard method of Life Cycle Assessment. One of these found the environmental impact of echocardiography was 1%-20% that of cardiac MR (CMR) imaging and Single Photon Emission Tomography (SPECT) scanning. Many opportunities to reduce environmental impacts were identified: carbon emissions can be reduced by choosing echocardiography as the first cardiac test before considering CT or CMR, remote monitoring of pacemaker devices and teleconsultations when clinically appropriate to do so. Several interventions may be effective for reducing waste, including rinsing bypass circuitry after cardiac surgery. Cobenefits included reduced costs, health benefits such as cell salvage blood available for perfusion, and social benefits such as reduced time away from work for patients and carers. Content analysis revealed concern about the environmental impact of cardiovascular healthcare, particularly carbon emissions and a desire for change. CONCLUSIONS AND RELEVANCE: Cardiac imaging, pharmaceutical prescribing and in-hospital care including cardiac surgery have significant environmental impacts, including CO(2)e emissions which contribute to climate-related threats to human health. Importantly, many opportunities to effectively reduce environmental impacts exist within cardiac care, and can provide economic, health and social cobenefits.
Climate change is a key environmental factor for allergic respiratory diseases, especially in childhood. This review describes the influences of climate change on childhood asthma considering the factors acting directly, indirectly and with their amplifying interactions. Recent findings on the direct effects of temperature and weather changes, as well as the influences of climate change on air pollution, allergens, biocontaminants and their interplays, are discussed herein. The review also focusses on the impact of climate change on biodiversity loss and on migration status as a model to study environmental effects on childhood asthma onset and progression. Adaptation and mitigation strategies are urgently needed to prevent further respiratory diseases and human health damage in general, especially in younger and future generations.
BACKGROUND: Environmental factors have been implicated in various eye pathologies. The purpose of this review is to synthesise the published research on environmental effects on eye disease. METHODS: Four databases were searched for terms relating to environmental exposures and ophthalmic disease. Titles and abstracts were screened followed by full-text review. Data was extracted from 118 included studies. Quality assessment was conducted for each study. RESULTS: Air pollutants, including nitrogen dioxide, nitrites, sulphur dioxide, particulate matter, carbon monoxide, ozone and hydrocarbons are associated with ocular conditions ranging from corneal damage to various retinopathies, including central retinal artery occlusion. Certain chemicals and metals, such as cadmium, are associated with increased risk of age-related macular degeneration. Climate factors, such as sun exposure, have been associated with the development of cataracts. Living in rural areas was associated with various age-related eye diseases whereas people living in urban settings had higher risk for dry eye disease and uveitis. CONCLUSION: Environmental exposures in every domain are associated with various ophthalmic conditions. These findings underscore the importance of continued research on the interplay between the environment and eye health.
OBJECTIVE: According to the WHO, anthropogenic climate change poses the greatest threat to human health in the 21(st) century. However, the link between climate change and human health is not an integral part of medical education in Germany. Within a student-led project, an elective clinical course was designed and successfully implemented, which has been made accessible to undergraduate medical students at the Universities of Giessen and Marburg. The implementation and didactic concept are explained in this article. METHODOLOGY: In a participatory format, knowledge is imparted using an action-based, transformative approach. Topics discussed are, amongst others, interactions of climate change and health, transformative action, and health behavior, as well as “green hospital” and the simulation of a “climate-sensitive health counselling”. Lecturers from different disciplines within and beyond medicine are invited as speakers. RESULTS: Overall, the elective was evaluated positively by the participants. The fact that there is a high demand among students for participation in the elective, as well as for the transfer of concepts underlines the need for including this topic into medical education. The implementation and further development of the concept at two universities with different study regulations demonstrates its adaptability. CONCLUSION: Medical education can raise awareness of the multiple health consequences of the climate crisis, can have a sensitizing and transformative effect on various levels, and can promote climate-sensitive action ability in patient care. In the long term, however, these positive consequences can only be guaranteed by including mandatory education on climate change and health in medical curricula.
Global changes have influenced our societies in several ways with both positive (e.g., technology, transportation, and food security), and negative impacts (e.g., mental health problems, spread of diseases, and pandemics). Overall, these changes have affected the distribution patterns of parasites and arthropod vectors with the introduction and spreading of alien species in new geographical areas, eventually posing new challenges in public health. In this framework, the Acta Tropica Special Issue “Emerging parasites and vectors in a rapidly changing world: from ecology to management” provides a focus on the biology, ecology and management of emerging parasites and vectors of human and veterinary importance. Herein we review and discuss novel studies dealing with interactions of parasites and vectors with animals in changing environmental settings. In our opinion, a special focus on the implementation of management strategies of parasitic diseases to face anthropogenic environmental changes still represent a priority for public health. In the final section, key research challenges in this rapidly changing scenario are outlined.
Autoimmune eye diseases (AEDs), a collection of autoimmune inflammatory ocular conditions resulting from the dysregulation of immune system at the ocular level, can target both intraocular and periorbital structures leading to severe visual deficit and blindness globally. The roles of air pollution and meteorological factors in the initiation and progression of AEDs have been increasingly attractive, among which the systemic and local mechanisms are both involved in. Exposure to excessive air pollution and extreme meteorological conditions including PM(2.5)/PM(0.1), environmental tobacco smoke, insufficient sunshine, and high temperature, etc., can disturb Th17/Treg balance, regulate macrophage polarization, activate neutrophils, induce systemic inflammation and oxidative stress, decrease retinal blood flow, promote tissue fibrosis, activate sympathetic nervous system, adversely affect nutrients synthetization, as well as induce heat stress, therefore may together deteriorate AEDs. The crosstalk among inflammation, oxidative stress and dysregulated immune system appeared to be prominent. In the present review, we will concern and summarize the potential mechanisms underlying linkages of air pollution and meteorological factors to ocular autoimmune and inflammatory responses. Moreover, we concentrate on the specific roles of air pollutants and meteorological factors in several major AEDs including uveitis, Graves’ ophthalmopathy (GO), ocular allergic disease (OAD), glaucoma, diabetic retinopathy (DR), etc.
In a context where disaster risk has become a chronic, continuous condition, this paper explores new pathways for creating long-term (emotional) resilience. I show that emotions matter as part of devising community-based and formal educational strategies for disaster risk reduction and preparedness. Focus is on exploring young people’s everyday emotional experiences in situations of recurrent disaster risk, such as flooding and landslides. The article draws on lessons learned from participatory and community-based research with 30 young people in the urban periphery of Sao Paulo, Brazil, as well as educational approaches on dealing with climate anxiety and ecological distress. Results indicate that participants tended to ‘normalise’ risk while using hu-mour to engage with difficult emotions. Results however also show that with the tools at hand to acknowledge, validate and engage with the emotions of disaster risk, youth can develop and cultivate hope, improve individual coping behaviours, and recognise their agency without min-imising or denying their experience. To guide interdisciplinary disaster risk scholars and practi-tioners in developing a process of reflective participation and collaborative peer-and intergenerational learning about disaster risk, I developed the EMPOWER framework. I suggest that by openly engaging with and sharing emotions across the researcher/practitioner and participant divide, we can develop critical reflexivity and collective hope as part of a praxis for improved wellbeing and disaster preparedness.
Climate change represents a serious threat to human health, including mental health, due to both the traumatizing effects of extreme climate events and the psychological effect of worry about climate change. OBJECTIVES: This scoping review aims to search the literature for original research investigating mental health and climate-related negative emotions in young people. Findings will help to understand the current landscape, gaps in the literature, and provide recommendations for future youth mental health research and practice. METHODS: A scoping review of the literature examining negative emotions associated with climate change in young people was undertaken. Studies published prior to March 2022 were included if they examined mental ill-health (e.g., symptoms of depression or anxiety) or negative emotions (e.g., distress, worry, concern) associated with the threat of climate change. RESULTS: Of 3939 articles screened, 26 met the inclusion criteria. Together, studies show that young people are worried about climate change. Negative emotions about climate change were correlated with symptoms of mental ill-health. Studies also explored coping strategies young people use to manage their distress caused by climate change. DISCUSSION: The limited literature in this area indicates a key gap in youth mental health research. While available evidence suggests that young people are concerned about climate change, more research is needed on the relationship between climate-related negative emotions and mental ill-health. Clinicians should assess for and address climate-related negative emotions in young people. Mental health leaders are urged to advocate for actions to mitigate the mental health impact of climate change.
Increasing individual awareness could help communities better prepare for climate change. Here a pilot study using participatory system mapping finds that the process increases awareness and preparedness for climate risk, and identifies considerations for promoting citizen-led adaptation. The increasing impacts of climate change instigate the need for adaptation. However, most adaptation initiatives focus on actions by government or businesses, despite growing calls for communities on the frontline of climate risks to be involved in planning and selecting strategies. Here we appraise a pilot process using participatory systems mapping with citizens to identify (1) diverse threat vectors for local climate impacts and (2) context-relevant interventions to protect households and communities while (3) considering synergies and trade-offs with other socially desirable outcomes. We tested the pilot process in communities in the Lower Volta Basin in Ghana, the Assam region in India and Southern England. From participants’ perspectives, the process increased awareness of and preparedness for climate change impacts and raised essential learning points for upscaling citizen-led adaptation approaches. These include understanding multiple outcomes of interventions, barriers and enablers to implementation, and sensitivity of co-design to regional geography and socio-cultural context.
Following the Fukushima nuclear accident, Japan gradually shut down all its nuclear power plants, causing a countrywide power shortage. In response the government launched large-scale energy-saving campaigns to reduce electricity consumption. Exploiting the electricity-saving targets across regions and over time, we show that the campaigns significantly increased mortality, par-ticularly during extremely hot days. The impact is primarily driven by people using less air conditioning, as encouraged by the govern-ment. Nonpecuniary incentives can explain most of the reduction in electricity consumption. Our findings suggest there exists a trade-off between climate change mitigation and climate change adaptation. (JEL I12, L94, L98, Q48, Q54, Q58)
This article analyses local practices concerning energy saving in the context of summer heat. It argues that the analysis of people’s thermal regulation activities in a situation of energy marginalization is central to understanding the social dynamics of energy vulnerability. The research combines architectural/urban and ethnographic perspectives to investigate the adaptive capacities of users and how external factors and regulations influence local practices concerning energy saving. Older adults are one of the most vulnerable groups to summer heat, as well as most prone to suffering energy vulnerability. The article examines how adults over 65 years of age in Madrid experience heat stress and adapt to extreme temperatures through the analysis of a collaborative documentary film, ‘The Wave’ (30 & PRIME;), written and designed by research participants to show the ways in which they experience summer heat. It explores older adults’ adaptation practices and the various external factors influencing their use of energy dependent adaptation strategies, including climate change (rising temperatures), existing conditions (urban, cultural, and social) and policies/economy (energy prices). The article highlights how these factors govern citizens’ energy consumption and how they are negotiated locally through embodied, environmental, and social adjustments.
The impact of climate change on water, sanitation, and hygiene (WASH) has driven an increased focus on climate-resilient WASH development. Evidence suggests that adaptation in the WASH sector is underway, but the progress is limited in certain domains and the participation of the public health community may be lacking. Using the Lake Victoria Basin (LVB) as a climate vulnerability setting for this analysis, this study aimed to identify factors that impede full engagement of the health sector in climate-resilient WASH development. In-depth semi-structured interviews were conducted with 13 WASH sector stakeholders across lakeside urban centers in Kenya, Uganda, and Tanzania. Several barriers to health sector engagement were identified including factors related to donor-driven financing and priority setting, a relative neglect of climate vulnerabilities associated with sanitation and hygiene, ministerial siloes, and broader systems of adaptation governance which compromise health sector leadership in climate adaptation. These results suggest room for expansion of interdisciplinary collaborations and deepened involvement of the health sector in WASH-related climate adaptation, which starts with addressing these and other barriers to full health sector engagement.
Despite the threat that nighttime heatwave poses to public health and the environment in the developing world, it remains relatively understudied in Africa, especially in its rapidly expanding urban areas with large populations. Using meteorological observations, climate reanalysis, remote sensing datasets, and integrated methodology, we found that during 1981-2020, nighttime heatwaves dramatically increased with early onset dates over Africa. Large scale circulation induced dry conditions over land which explains the major heatwaves across all climate zones. Meanwhile, the increasing trend of nighttime heatwaves in urban areas than rural areas in both tropical and temperate climates is largely due to urbanization, which amplifies heatwaves with urban heat island (UHI) effects. The strongest contribution of urbanization to nighttime heatwaves was observed in temperate climate, leading to a 46% increase in the heatwave duration. In arid climate, urban expansion has a negative impact on nighttime heatwaves, due to the cool island effect of urban greens and weak urbanization. The major contribution of urbanization to the urban-rural contrast of nighttime heatwave trends in temperate climate can be attributed to stronger UHI intensity resulting from lower windspeed and less evapotranspiration. Without appropriate adaptation efforts to reduce heatwave exposure, the risks posed in Africa’s urban areas will continue to increase under future warming.
This study investigated the associations between heatwaves and daily hospital admissions for cardiovascular and respiratory diseases in two provinces in Viet Nam known to be vulnerable to droughts during 2010-2018. This study applied a time series analysis with data extracted from the electronic database of provincial hospitals and meteorological stations from the corresponding province. To eliminate over-dispersion, this time series analysis used Quasi-Poisson regression. The models were controlled for the day of the week, holiday, time trend, and relative humidity. Heatwaves were defined as the maximum temperature exceeding P90th over the period from 2010 to 2018 during at least three consecutive days. Data from 31,191 hospital admissions for respiratory diseases and 29,056 hospitalizations for cardiovascular diseases were investigated in the two provinces. Associations between hospital admissions for respiratory diseases and heatwaves in Ninh Thuan were observed at lag 2, with excess risk (ER = 8.31%, 95% confidence interval: 0.64-16.55%). However, heatwaves were negatively associated with cardiovascular diseases in Ca Mau, which was determined amongst the elderly (age above 60), ER = -7.28%, 95%CI: -13.97–0.08%. Heatwaves can be a risk factor for hospital admission due to respiratory diseases in Vietnam. Further studies need to be conducted to assert the link between heat waves and cardiovascular diseases.
It has been suggested that heat exposure prior to exercise could induce changes in anaerobic exercise. Therefore, the purpose of this study was to observe the effects of high temperature heat exposure prior to an anaerobic test. Twenty-one men (age: 19.76 ± 1.22 years; height: 1.69 ± 0.12 m; weight: 67.89 ± 11.78 kg) voluntarily participated in this investigation. All of them performed two Wingate tests, vertical jump and macronutrient intake control. On the first day, the test was performed under normal environmental conditions. On the second day, it was performed in a similar way, but with previous exposure to heat at high sauna temperatures (15 min; 100 ± 2 °C). There were no differences in the vertical jump and macronutrient intake. However, the results showed an improvement in power (W) (p < 0.05), relative power (W/kg) (p < 0.01) and revolutions per minute (p < 0.05) 10 s after the start of the test. There was also an increase in thigh (p < 0.01) and skin temperature (p < 0.01) with pre-heat exposure. The results obtained suggest that this pre-exercise protocol could improve power in short and intensive actions.
Pharmacological agents used to treat or manage diseases can modify the level of heat strain experienced by chronically ill and elderly patients via different mechanistic pathways. Human thermoregulation is a crucial homeostatic process that maintains body temperature within a narrow range during heat stress through dry (i.e., increasing skin blood flow) and evaporative (i.e., sweating) heat loss, as well as active inhibition of thermogenesis, which is crucial to avoid overheating. Medications can independently and synergistically interact with aging and chronic disease to alter homeostatic responses to rising body temperature during heat stress. This review focuses on the physiologic changes, with specific emphasis on thermolytic processes, associated with medication use during heat stress. The review begins by providing readers with a background of the global chronic disease burden. Human thermoregulation and aging effects are then summarized to give an understanding of the unique physiologic changes faced by older adults. The effects of common chronic diseases on temperature regulation are outlined in the main sections. Physiologic impacts of common medications used to treat these diseases are reviewed in detail, with emphasis on the mechanisms by which these medications alter thermolysis during heat stress. The review concludes by providing perspectives on the need to understand the effects of medication use in hot environments, as well as a summary table of all clinical considerations and research needs of the medications included in this review. SIGNIFICANCE STATEMENT: Long-term medications modulate thermoregulatory function, resulting in excess physiological strain and predisposing patients to adverse health outcomes during prolonged exposures to extreme heat during rest and physical work (e.g., exercise). Understanding the medication-specific mechanisms of altered thermoregulation has importance in both clinical and research settings, paving the way for work toward refining current medication prescription recommendations and formulating mitigation strategies for adverse drug effects in the heat in chronically ill patients.
Studies have shown that dengue virus transmission increases in association with ambient temperature. We performed a systematic review and meta-analysis to assess the effect of both high temperatures and heatwave events on dengue transmission in different climate zones globally. METHODS: A systematic literature search was conducted in PubMed, Scopus, Embase, and Web of Science from January 1990 to September 20, 2022. We included peer reviewed original observational studies using ecological time series, case crossover, or case series study designs reporting the association of high temperatures and heatwave with dengue and comparing risks over different exposures or time periods. Studies classified as case reports, clinical trials, non-human studies, conference abstracts, editorials, reviews, books, posters, commentaries; and studies that examined only seasonal effects were excluded. Effect estimates were extracted from published literature. A random effects meta-analysis was performed to pool the relative risks (RRs) of dengue infection per 1 °C increase in temperature, and further subgroup analyses were also conducted. The quality and strength of evidence were evaluated following the Navigation Guide systematic review methodology framework. The review protocol has been registered in the International Prospective Register of Systematic Reviews (PROSPERO). FINDINGS: The study selection process yielded 6367 studies. A total of 106 studies covering more than four million dengue cases fulfilled the inclusion criteria; of these, 54 studies were eligible for meta-analysis. The overall pooled estimate showed a 13% increase in risk of dengue infection (RR = 1.13; 95% confidence interval (CI): 1.11-1.16, I(2) = 98.0%) for each 1 °C increase in high temperatures. Subgroup analyses by climate zones suggested greater effects of temperature in tropical monsoon climate zone (RR = 1.29, 95% CI: 1.11-1.51) and humid subtropical climate zone (RR = 1.20, 95% CI: 1.15-1.25). Heatwave events showed association with an increased risk of dengue infection (RR = 1.08; 95% CI: 0.95-1.23, I(2) = 88.9%), despite a wide confidence interval. The overall strength of evidence was found to be “sufficient” for high temperatures but “limited” for heatwaves. Our results showed that high temperatures increased the risk of dengue infection, albeit with varying risks across climate zones and different levels of national income. INTERPRETATION: High temperatures increased the relative risk of dengue infection. Future studies on the association between temperature and dengue infection should consider local and regional climate, socio-demographic and environmental characteristics to explore vulnerability at local and regional levels for tailored prevention. FUNDING: Australian Research Council Discovery Program.
INTRODUCTION: Natural hazards are damaging environmental events, such as fires, droughts and floods, which have negative impacts on human lives, livelihoods and health. Natural hazards are increasing in intensity and severity, and may potentially have harmful effects on the health and development of children who experience them. There are few syntheses of the evidence about the effects of natural hazards on the early development of children aged from birth to 5 years old. The aim of this systematic review and meta-analysis is to determine the impact of natural hazards on the cognitive, motor, language, social and emotional development of children from birth to 5 years old. METHODS AND ANALYSIS: Comprehensive searches will be conducted in five bibliographic databases: Ovid MEDLINE, Ovid PsycInfo, CINAHL Plus, Scopus and Ovid EMBASE, using predefined search terms to identify the relevant studies. The review will follow the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines. Eligible studies will be included if they report on the association between exposure to natural hazards and at least one indicator of early childhood development (ECD). Extracted data will include: main study findings, characteristics of the study design, measures of natural hazards and ECD indicators. Observational studies with cross-sectional, case-control, prospective or retrospective cohort designs will be included in this review. Case descriptions and qualitative studies will be excluded. Study quality will be assessed using the Joanna Brigg’s Institute critical appraisal tools. We will conduct a meta-analysis if the reviewed studies are sufficiently homogeneous according to research design, exposure, participants and outcome measures. The meta-analysis will include subgroup analyses (eg, length of exposure to natural hazard, type of natural hazard, ECD indicator). ETHICS AND DISSEMINATION: The findings will be disseminated through a peer-review publication, policy brief, technical report and report published on institutional stakeholder websites. PROSPERO REGISTRATION NUMBER: CRD42022331621.
With global climate change and rapid urbanization, the prevalence of allergic diseases caused by pollen is rising dramatically worldwide with unprecedented complexity and severity, especially for children in mega-cities. However, because of the lack of long time-series pollen concentrations data, the accurate evaluation of the impact of pollen on allergic rhinitis (AR) was scarce in the Chinese metropolis. A generalized additive model was used to assess the effect of pollen concentration on pediatric AR outpatient visits in Beijing from 2014 to 2019. A stratified analysis of 10 pollen species and age-gender-specific groups was also conducted during the spring and summer-autumn peak pollen periods separately. Positive associations between pollen concentration and pediatric AR varied with the season and pollen species were detected. Although the average daily pollen concentration is higher during the spring tree pollen peak, the influence was stronger at the summer-autumn weed pollen peak with the maximum relative risk 1.010 (95% CI 1.009, 1.011), which was higher than the greatest relative risk, 1.003 (95% CI 1.002, 1.004) in the spring peak. The significant adverse effects can be sustained to lag10 during the study period, and longer in the summer-autumn peak (lag13) than in the spring peak (lag8). There are thresholds for the health effects and they varied between seasons. The significant effect appeared when the pollen concentration was higher than 3.74 × 10(5) grain·m(-2)·d(-1) during the spring tree pollen peaks and 4.70 × 10(4) grain·m(-2)·d(-1) during the summer-autumn weed pollen peaks. The stratified results suggested that the species-specific effects were heterogeneous. It further highlights that enough attention should be paid to the problem of pollen allergy in children, especially school-aged children aged 7-18 years and weed pollen in the summer-autumn peak pollen period. These findings provide a more accurate reference for the rational coordination of medical resources and improvement of public health.
This study investigated associations between climate variables (average temperature and cumulative rainfall), and El Niño Southern Oscillation (ENSO) and dengue-like-illness (DLI) incidence in two provinces (Western and Guadalcanal Provinces) in Solomon Islands (SI). METHODS: Weekly DLI and meteorological data were obtained from the Ministry of Health and Medical Services SI and the Ministry of Environment, Climate Change, Disaster Management and Meteorology from 2015 to 2018, respectively. We used negative binomial generalized estimating equations to assess the effects of climate variables up to a lag of 2 months and ENSO on DLI incidence in SI. RESULTS: We captured an upsurge in DLI trend between August 2016 and April 2017. We found the effects of average temperature on DLI in Guadalcanal Province at lag of one month (IRR: 2.186, 95% CI: 1.094-4.368). Rainfall had minor but consistent effect in all provinces. La Niña associated with increased DLI risks in Guadalcanal Province (IRR: 4.537, 95% CI: 2.042-10.083), whereas El Niño associated with risk reduction ranging from 72.8% to 76.7% in both provinces. CONCLUSIONS: Owing to the effects of climate variability and ENSO on DLI, defining suitable and sustainable measures to control dengue transmission and enhancing community resilience against climate change in low- and middle-developed countries are important.
There is a growing body of modelling evidence that demonstrates the potential for immediate and substantial benefits to adult health from greenhouse gas mitigation actions, but the effects on the health of younger age groups is largely unknown. We conducted a systematic review to identify the available published evidence of the modelled effects on child and adolescent health (≤18 years of age) of greenhouse gas mitigation. We searched six databases of peer-reviewed studies published between January 1, 1990 and July 27, 2022, screened 27,282 original papers and included 23 eligible papers. All included studies were set in high- and middle-income countries; and all studies modelled the effects of interventions that could mitigate greenhouse gas emissions and improve air quality. Most of the available evidence suggests positive benefits for child and adolescent respiratory health from greenhouse gas mitigation actions that simultaneously reduce air pollution (specifically PM2.5 and nitrogen dioxide). We found scant evidence on child and adolescent health from regions more vulnerable to climate change, or on mitigation interventions that could affect exposures other than air pollution.
This study aimed at evaluating the efficacy of an online CBT intervention with limited therapist contact targeting a range of posttraumatic symptoms among evacuees from the 2016 Fort McMurray wildfires. One hundred and thirty-six residents of Fort McMurray who reported either moderate PTSD symptoms (PCL-5 > 23) or mild PTSD symptoms (PCL-5 > 10) with mod-erate depression (PHQ-9 > 10) or subthreshold insomnia symptoms (ISI > 8) were randomized either to a treatment (n = 69) or a waitlist condition (n = 67). Participants were on average 45 years old, and mostly identified as White (82%) and as women (76%). Primary outcomes were PTSD, depression, and insomnia symptoms. Secondary outcomes were anxiety symptoms and disability. Signifi-cant Assessment Time x Treatment Condition interactions were observed on all outcomes, indicating that access to the treatment led to a decrease in posttraumatic stress (F[1,117.04] =12.128, p = .001; d = .519, 95% CI = .142- .895),depression (F[1,118.29] = 9.978, p = .002; d = .519, 95% CI = .141-.898) insomnia (F[1,117.60] = 4.574, p = .035; d = .512, 95% CI = .132-.892), and anxiety (F[1,119.64] = 5.465, p = .021; d = .421, 95% CI = .044- .797) symptom severity and disability (F[1,111.55] = 7.015, p = .009; d = .582, 95% CI = .200-.963). Larger effect sizes (d = 0.823-1.075) were observed in participants who completed at least half of the treatment. The RESILI-ENT online treatment platform was successful to provide access to specialized evidence-based mental health care after a disaster.
Health agencies, including the U.S. Centers for Disease Control and Prevention and the World Health Organization, recommend that heat-vulnerable older adults without home air-conditioning should visit cooling centers or other air-conditioned locations (e.g., a shopping mall) during heat waves. However, experimental evidence supporting the effectiveness of brief air-conditioning is lacking. OBJECTIVE: We evaluated whether brief exposure to an air-conditioned environment, as experienced in a cooling center, was effective for limiting physiological strain in older adults during a daylong laboratory-based heat wave simulation. METHODS: Forty adults 64-79 years of age underwent a 9-h simulated heat wave (heat index: 37°C) with (cooling group, n = 20) or without (control group, n = 20) a cooling intervention consisting of 2-h rest in an air-conditioned room ( ∼ 23°C, hours 5-6). Core and skin temperatures, whole-body heat exchange and storage, cardiovascular function, and circulating markers of acute inflammation were assessed. RESULTS: Core temperature was 0.8°C (95% CI: 0.6, 0.9) lower in the cooling group compared with the control group at the end of the cooling intervention (p < 0.001; hour 6), and it remained 0.3°C (95% CI: 0.2, 0.4) lower an hour after returning to the heat (p < 0.001; hour 7). Despite this, core temperatures in each group were statistically equivalent at hours 8 and 9, within ±0.3°C (p ≤ 0.005). Cooling also acutely reduced demand on the heart and improved indices of cardiovascular autonomic function (p ≤ 0.021); however, these outcomes were not different between groups at the end of exposure (p ≥ 0.58). DISCUSSION: Brief air-conditioning exposure during a simulated heat wave caused a robust but transient reduction in core temperature and cardiovascular strain. These findings provide important experimental support for national and international guidance that cooling centers are effective for limiting physiological strain during heat waves. However, they also show that the physiological impacts of brief cooling are temporary, a factor that has not been considered in guidance issued by health agencies. https://doi.org/10.1289/EHP11651.
Diarrhea remains a common infectious disease caused by various risk factors in developing countries. This study investigated the incidence rate and temporal associations between diarrhea and meteorological determinants in five regions of Surabaya, Indonesia. METHOD: Monthly diarrhea records from local governmental health facilities in Surabaya and monthly means of weather variables, including average temperature, precipitation, and relative humidity from Meteorology, Climatology, and Geophysical Agency were collected from January 2018 to September 2020. The generalized additive model was employed to quantify the time lag association between diarrhea risk and extremely low (5th percentile) and high (95th percentile) monthly weather variations in the north, central, west, south, and east regions of Surabaya (lag of 0-2 months). RESULT: The average incidence rate for diarrhea was 11.4 per 100,000 during the study period, with a higher incidence during rainy season (November to March) and in East Surabaya. This study showed that the weather condition with the lowest diarrhea risks varied with the region. The diarrhea risks were associated with extremely low and high temperatures, with the highest RR of 5.39 (95% CI 4.61, 6.17) in the east region, with 1 month of lag time following the extreme temperatures. Extremely low relative humidity increased the diarrhea risks in some regions of Surabaya, with the highest risk in the west region at lag 0 (RR = 2.13 (95% CI 1.79, 2.47)). Extremely high precipitation significantly affects the risk of diarrhea in the central region, at 0 months of lag time, with an RR of 3.05 (95% CI 2.09, 4.01). CONCLUSION: This study identified a high incidence of diarrhea in the rainy season and in the deficient developed regions of Surabaya, providing evidence that weather magnifies the adverse effects of inadequate environmental sanitation. This study suggests the local environmental and health sectors codevelop a weather-based early warning system and improve local sanitation practices as prevention measures in response to increasing risks of infectious diseases.
The health and wellbeing effects of climate change events have gained much attention from decision makers and academia over the past decade. Using a systematic review approach, this paper aims to present an improved understanding of how different climate change events have impacted on people’s health and/or wellbeing. A thorough review of 93 articles following a PRISMA and SALSA protocol revealed nine climate change events, of which heat waves and extreme ambient temperature were found to be closely associated with the most cited illnesses, including physical problems and failure of one’s circulatory and respiratory systems. Age and gender are the critical factors among others that differentiate the effects of climate change on health. Although the formulation of heatwave response plans has been adopted in many countries, the findings of this study suggest that design for climate-adaptive built environments is of paramount importance. This paper provides insights into climate change adaption strategies from a health perspective. The findings can be used by disaster risk reduction (DRR) policymakers and practitioners to identify the areas to target in their climate change agenda in order to enhance the adaptive ability of communities.
Climate change is one of the most significant global challenges and is already having detrimental effects on people’s health. Pollution levels and ambient temperatures continue to increase, resulting in higher levels of humidity and pollen production. These environmental threats can affect many vulnerable patients, particularly those with respiratory and cardiovascular conditions, and nurses have a crucial role in raising awareness of the health implications of climate change. This article explores the pathophysiological effects of climate change on patients with asthma, chronic obstructive pulmonary disease and cardiovascular disease, and aims to enhance nurses’ understanding of the health challenges of climate change.
Malaria continues to be a major public health concern with a substantial burden in Africa. Even though it has been widely demonstrated that malaria transmission is climate-driven, there have been very few studies assessing the relationship between climate variables and malaria transmission in Côte d’Ivoire. We used the VECTRI model to predict malaria transmission in southern Côte d’Ivoire. First, we tested the suitability of VECTRI in modeling malaria transmission using ERA5 temperature data and ARC2 rainfall data. We then used the projected climatic data pertaining to 2030, 2050, and 2080 from a set of 14 simulations from the CORDEX-Africa database to compute VECTRI outputs. The entomological inoculation rate (EIR) from the VECTRI model was well correlated with the observed malaria cases from 2010 to 2019, including the peaks of malaria cases and the EIR. However, the correlation between the two parameters was not statistically significant. The VECTRI model predicted an increase in malaria transmissions in both scenarios (RCP8.5 and RCP4.5) for the time period 2030 to 2080. The monthly EIR for RCP8.5 was very high (1.74 to 1131.71 bites/person) compared to RCP4.5 (0.48 to 908 bites/person). These findings call for greater efforts to control malaria that take into account the impact of climatic factors.
Rural populations are at risk of climate-related impacts due to ecological and geographical determinants, potentially leading to greater morbidity and health utilization. They are often highly dependent on primary care services. However, no rural- or primary care specific synthesis of these issues has ever been conducted. This review aimed to identify, characterize, and summarize existing research on the effects of climate-related events on utilization and health outcomes of primary care in rural and remote areas and identify related adaptation strategies used in primary care to climate-related events. METHODS: A scoping review following PRISMA-ScR guidelines was conducted, examining peer-reviewed English-language articles published up to 31 October 2022. Eligible papers were empirical studies conducted in primary care settings that involved climate-related events as exposures, and health outcomes or utilization as study outcomes. Two reviewers independently screened and extracted relevant information from selected papers. Data were analysed using content analysis and presented using a narrative approach. RESULTS: We screened 693 non-duplicate papers, of those, 60 papers were analysed. Climate-related events were categorized by type, with outcomes described in terms of primary, secondary, and tertiary effects. Disruption of primary care often resulted from shortages in health resources. Primary care may be ill-prepared for climate-related events but has an important role in supporting the development of community. CONCLUSIONS: Findings suggest various effects of climate-related events on primary care utilization and health outcomes in rural and remote areas. There is a need to prepare rural and remote primary care service before and after climate-related events.
BACKGROUND: Cyanobacterial harmful algal blooms (CyanoHABs) originate from the excessive growth or bloom of cyanobacteria often referred to as blue-green algae. They have been on the rise globally in both marine and freshwaters in recently years with increasing frequency and severity owing to the rising temperature associated with climate change and increasing anthropogenic eutrophication from agricultural runoff and urbanization. Humans are at a great risk of exposure to toxins released from CyanoHABs through drinking water, food, and recreational activities, making CyanoHAB toxins a new class of contaminants of emerging concern. OBJECTIVES: We investigated the toxic effects and mechanisms of microcystin-LR (MC-LR), the most prevalent CyanoHAB toxin, on the ovary and associated reproductive functions. METHODS: Mouse models with either chronic daily oral or acute intraperitoneal exposure, an engineered three-dimensional ovarian follicle culture system, and human primary ovarian granulosa cells were tested with MC-LR of various dose levels. Single-follicle RNA sequencing, reverse transcription-quantitative polymerase chain reaction, enzyme-linked immunosorbent assay, western blotting, immunohistochemistry (IHC), and benchmark dose modeling were used to examine the effects of MC-LR on follicle maturation, hormone secretion, ovulation, and luteinization. RESULTS: Mice exposed long term to low-dose MC-LR did not exhibit any differences in the kinetics of folliculogenesis, but they had significantly fewer corpora lutea compared with control mice. Superovulation models further showed that mice exposed to MC-LR during the follicle maturation window had significantly fewer ovulated oocytes. IHC results revealed ovarian distribution of MC-LR, and mice exposed to MC-LR had significantly lower expression of key follicle maturation mediators. Mechanistically, in both murine and human granulosa cells exposed to MC-LR, there was reduced protein phosphatase 1 (PP1) activity, disrupted PP1-mediated PI3K/AKT/FOXO1 signaling, and less expression of follicle maturation-related genes. DISCUSSION: Using both in vivo and in vitro murine and human model systems, we provide data suggesting that environmentally relevant exposure to the CyanoHAB toxin MC-LR interfered with gonadotropin-dependent follicle maturation and ovulation. We conclude that MC-LR may pose a nonnegligible risk to women’s reproductive health by heightening the probability of irregular menstrual cycles and infertility related to ovulatory disorders. https://doi.org/10.1289/EHP12034.
Frequent extreme cold events in recent years have brought serious threats to outdoor workers and rescuers. Changes in ambient temperature are associated with altered cardiac autonomic function. The study aims to investigate heart rate variability (HRV) and its relationship to other physiological parameters under extreme cold exposures. Twelve males underwent a 30-min preconditioning phase in a neutral environment followed by a 30-min cold exposure (-5, -10, -15, and -20 degrees C). Time-domain indexes(meanRR, SDNN, RMSSD, and pNN50), frequency domain indexes [Log(HF), Log(LF), and low frequency/high frequency (LF/HF)], parasympathetic nervous system (PNS), and sympathetic nervous system (SNS) were analysed. Results showed all HRV indexes of four cold exposures were significant. The decrease in temperature was accompanied by progressive PNS activation with SNS retraction. SDNN was the most sensitive HRV index and had good linear relationships with blood pressure, pulse, and hand temperature. The results are significant for formulating safety protection strategies for workers in extremely cold environments.Practitioner Summary: This study investigated heart rate variability (HRV) in 12 males during a 30-min cold exposure (-5, -10, -15, and -20 degrees C). Results showed all HRV indexes of four cold exposures were significant. The decrease in temperature was accompanied by progressive PNS activation with SNS retraction. SDNN was the most sensitive HRV index and had good linear relationships with blood pressure, pulse, and hand temperature.
As the global greenhouse effect intensifies, the urban heat island effect becomes increasingly severe; consequently, people are exposed to high-temperature and metabolically intensive thermal environments. The issue of thermal safety is becoming increasingly serious. This study investigated the human thermal comfort requirements at different temperatures and metabolic rates. Twenty participants were made to perform four tasks at four ambient temperatures (Ta; 28, 30, 32, and 34 degrees C) and metabolic rate levels (2.4, 3.2, 4.0, and 4.4 met), and their physiological reactions, symptoms, and responses to subjective thermal comfort were continuously measured. The results revealed that 15.2% of the participants exhibited adverse symptoms when Ta = 28 degrees C, whereas 53.2% of the participants exhibited adverse symptoms when Ta = 34 degrees C. The symptoms included intense sweating, facial heat, rapid heartbeat, dyspnea, chest tightness, feebleness, general weakness, blurry vision, skin sensitivity, and nausea. Prolonged exercise in high-temperature environments may affect the body’s heat resistance, resulting in discomfort such as fatigue, headaches, and nausea. Furthermore, participants with high metabolic rates preferred higher wind speeds and lower humidity to improve their thermal comfort in warmer thermal environments. The results offer valuable insights towards mitigating heat exposure-related occupational health risks during work or exercise in high-temperature environments.
In this research, the effect of flooding caused by heavy precipitation, postulated to be one of the consequences of climate change, on toxic metal concentrations in two demersal fish species, whiting (Merlangius merlangus euxinus) and red mullet (Mullus barbatus), was investigated. For both demersal fish species, concentrations of Hg, Fe, Cd, Pb, Se, Al, Zn, Cu, Sr, B, Cr, Mn, Ni, Ba, and Li were compared between samples taken from Türkeli, Sinop, Black Sea, before and after the flood event in August 2021. Hg, Mn, Se, Li, B, and Sr metal concentrations increased in whiting and in red mullet in the post-flood samples. Estimated daily intake, target hazard quotient, cancer risk, the maximum allowable daily consumption rate and minimum daily requirements, and health risk analyses indicated that daily consumption of whiting and red mullet was risky due to the heavy metal Hg level after the flood. In addition, it was found that the samples had higher levels of Se than Hg, Se/Hg ratios were above 1, and Se-HBV were positive. Therefore, whiting and red mullet fishing should be restricted for a limited time period in the region.
Vector-borne diseases (VBDs) pose a major threat to human and animal health, with more than 80% of the global population being at risk of acquiring at least one major VBD. Being profoundly affected by the ongoing climate change and anthropogenic disturbances, modelling approaches become an essential tool to assess and compare multiple scenarios (past, present and future), and further the geographic risk of transmission of VBDs. Ecological niche modelling (ENM) is rapidly becoming the gold-standard method for this task. The purpose of this overview is to provide an insight of the use of ENM to assess the geographic risk of transmission of VBDs. We have summarised some fundamental concepts and common approaches to ENM of VBDS, and then focused with a critical view on a number of crucial issues which are often disregarded when modelling the niches of VBDs. Furthermore, we have briefly presented what we consider the most relevant uses of ENM when dealing with VBDs. Niche modelling of VBDs is far from being simple, and there is still a long way to improve. Therefore, this overview is expected to be a useful benchmark for niche modelling of VBDs in future research.
This scoping review assesses the current evidence on the health impacts of climate change and associated economic costs in South America. In total, 3281 studies were identified using a systematic search strategy, but only 23 articles met the inclusion criteria and were analysed. The results from these articles indicate that the health effects of climate change will likely be costly for South America; however, evidence is limited to a handful of countries or regional analyses that ignore heterogeneity across and within countries. Most of the analysed studies looking at extreme weather events related to climate change focus on the effects and costs of droughts and fire events. A broader understanding of the topic could be achieved by estimating other extreme weather events’ health effects and costs, using appropriate research methods to identify causal impacts, and including a more comprehensive and representative regional population sample. Beyond identifying effects, it is important to investigate demand responses for healthcare services, associated costs, availability and expansion of infrastructure, and cost-effectiveness of policies aimed at coping with and adapting to the health dimension of climate change.
As the climate warms, increasing heat-related health risks are expected, and can be exacerbated by the urban heat island (UHI) effect. UHIs can also offer protection against cold weather, but a clear quantification of their impacts on human health across diverse cities and seasons is still being explored. Here we provide a 500 m resolution assessment of mortality risks associated with UHIs for 85 European cities in 2015-2017. Acute impacts are found during heat extremes, with a 45% median increase in mortality risk associated with UHI, compared to a 7% decrease during cold extremes. However, protracted cold seasons result in greater integrated protective effects. On average, UHI-induced heat-/cold-related mortality is associated with economic impacts of €192/€ - 314 per adult urban inhabitant per year in Europe, comparable to air pollution and transit costs. These findings urge strategies aimed at designing healthier cities to consider the seasonality of UHI impacts, and to account for social costs, their controlling factors, and intra-urban variability.
AIMS: We aimed to explore the association between short-term exposure to temperature variability (TV), and cardiovascular hospitalization stratified by the presence of comorbid diabetes. METHODS: We collected data on nationwide hospitalization for cardiovascular diseases and daily weather conditions during 2011-2018 in Japan. TV was calculated as the standard deviation of daily minimum and maximum temperatures within 0-7 lag days. We applied a two-stage time-stratified case-crossover design to estimate the association between TV and cardiovascular hospitalization with and without comorbid diabetes, adjusting for temperature and relative humidity. Furthermore, specific cardiovascular disease causes, demographic characteristics, and seasons were used for stratification. RESULTS: In 3,844,910 hospitalizations for cardiovascular disease, each 1 °C increase in TV was associated with a 0.44% (95% CI: 0.22%, 0.65%) increase in the risk of cardiovascular admission. We observed a 2.07% (95% CI: 1.16%, 2.99%) and 0.61% (95% CI: -0.02%, 1.23%) increase per 1 °C in risk of heart failure admission in individuals with and those without diabetes, respectively. The higher risk among individuals with diabetes was mostly consistent in the analyses stratified by age, sex, body mass index, smoking status, and season. CONCLUSION: Comorbid diabetes may increase susceptibility to TV in relation to acute cardiovascular disease hospitalization.
BACKGROUND: The protective effect of urban greenery from adverse heat impacts remains inconclusive. Existing inconsistent findings could be attributed to the different estimation techniques used. OBJECTIVES: We investigated how effect modifications of urban greenery on heat-mortality associations vary when using different greenery measurements reflecting overhead-view and eye-level urban greenery. METHODS: We collected meteorological and daily mortality data for 286 territory planning units between 2005 and 2018 in Hong Kong. Three greenery measurements were extracted for each unit: a) the normalized difference vegetation index (NDVI) from Landsat remote sensing images, b) the percentage of greenspace based on land use data, and c) eye-level street greenery from street view images via a deep learning technique. Time-series analyses were performed using the case time series design with a linear interaction between the temperature term and each of the three greenery measurements. Effect modifications were also estimated for different age groups, sex categories, and cause-specific diseases. RESULTS: Higher mortality risks were associated with both moderate and extreme heat, with relative risks (RRs) of 1.022 (95% CI: 1.000, 1.044) and 1.045 (95% CI: 1.013, 1.079) at the 90th and 99th percentiles of temperatures relative to the minimum mortality temperature (MMT). Lower RRs were observed in greener areas whichever of the three greenery measurements was used, but the disparity of RRs between areas with low and high levels of urban greenery was more apparent when using eye-level street greenery as the index at high temperatures (99th percentile relative to MMT), with RRs for low and high levels of greenery, respectively, of 1.096 (95% CI: 1.035, 1.161) and 0.985 (95% CI: 0.920, 1.055) for NDVI (p = 0.0193), 1.068 (95% CI: 1.021, 1.117) and 0.990 (95% CI: 0.906, 1.081) for the percentage of greenspace (p = 0.1338), and 1.103 (95% CI: 1.034, 1.177) and 0.943 (95% CI: 0.841, 1.057) for eye-level street greenery (p = 0.0186). Health discrepancies remained for nonaccidental mortality and cardiorespiratory diseases and were more apparent for older adults ( ≥ 65 years of age) and females. DISCUSSION: This study provides new evidence that eye-level street greenery shows stronger associations with reduced heat-mortality risks compared with overhead-view greenery based on NDVI and percentage of greenspace. The effect modification of urban greenery tends to be amplified as temperatures rise and are more apparent in older adults and females. Heat mitigation strategies and health interventions, in particular with regard to accessible and visible greenery, are needed for helping heat-sensitive subpopulation groups in coping with extreme heat. https://doi.org/10.1289/EHP12589.
INTRODUCTION: In this short review, the effect of climate change on nature and human health with a special focus on infectious diseases in the Mediterranean region is discussed. This research is a part of the Mediterranean Convention of Human Rights project, which is an organizational work on human rights issues that was established in cooperation with civil society and the national authorities of the Mediterranean Region. METHODOLOGY: Previously published data were collected by retrieving published literature from PubMed, Google Scholar, and Web of Science using “climate change”, “the Mediterranean region”, “infections in Mediterranean Region”, “infectious diseases”, “biodiversity”, and “the Mediterranean Sea” as keywords. The collected data were then evaluated and reviewed. The recommendations and guidelines were analysed by the preferred reporting items for systematic reviews and meta-analyses (PRISMA). CONCLUSIONS: The Mediterranean region presents a typical example witnessing a dramatic change in climate events and their adverse impact on biodiversity, ecosystems and public health are multiple. This negative impact is in part due to the geographical particularities, and sociocultural and geopolitical conflicts that are progressively worsening the burden of climate change. While most of these changes cannot be totally avoided, many of the health risks related to climate change could be monitored. This can be done by establishing health systems with policies to reduce and prevent the risks of infectious diseases and to recover and support the affected areas, which may identify priority and management of high-risk events.
Although ambient temperature has been linked to asthma exacerbation, impacts associated with extreme temperature events remain unclear. This study aims to identify the events characteristics that elevate risk of asthma hospital visits, and to assess whether healthy behavior changes due to the COVID-19 prevention and control policy may modify the relationships. Data of asthma hospital visits from all medical facilities in Shenzhen, China during 2016-2020 were assessed in relation to extreme temperature events using a distributed lag model. Stratified analysis was conducted by gender, age and hospital department to identify susceptible populations. Through events defined by various duration days and temperature thresholds, we explored the modification by events intensity, length, occurrence time and healthy behaviors. The cumulative relative risk of asthma during heat waves compared to other days was 1.06 (95%CI: 1.00-1.13) and for cold spells was 1.17 (95%CI: 1.05-1.30), and that of males and school-aged children were generally higher than other sub-groups. There were significant effects of heat waves and cold spells on asthma hospital visits when the mean temperature was above 90th percentile (30 °C) and below 10th percentile (14 °C) respectively, and the relative risks were higher when events lasted longer, became stronger, occurred in daytime and in early summer or winter. During the healthy behaviors maintaining period, the risk of heat waves increased whilst the risk of cold spells reduced. Extreme temperatures may pose considerable impact on asthma and the health effect can be modified by the event characteristics and anti-epidemic healthy behaviors. Strategies of asthma control should consider the heightened threats of the intense and frequent extreme temperature events in the context of climate change.
AIM: To evaluate the effect of the historic Spanish heatwave (9th-26th July 2022) over glycemic control in adults with type 1 diabetes (T1D). METHODS: Cross-sectional retrospective analysis of adult patients with T1D in Castilla-La Mancha (south-central Spanish region) using intermittently scanned continuous glucose monitoring (isCGM) during and after the heatwave. Primary outcome was change in time in range (TIR) 3.0-10 mmol/L (70-180 mg/dL) of interstitial glucose in the two weeks following the heatwave. RESULTS: A total of 2701 T1D patients were analyzed. We detected a TIR reduction of 4.0 % (95 % CI -3.4, -4.6; P < 0.001) in the two weeks following the heatwave. Patients in the highest daily scan frequency quartile (>13 scans/day) during the heatwave showed the greatest deterioration in TIR after it concluded (-5.4 % [95 % CI -6.5, -4.3; P < 0.001]). The percentage of patients meeting all the recommendations of the International Consensus of Time in Range was greater during the heatwave than after it ended (10.6 % vs. 8.4 %, P < 0.001). CONCLUSIONS: Adults with T1D had better glycemic control during the historic Spanish heatwave compared to the following period.
Climate change is one of the most serious issues in the recent world. Climate change is known as caused by the increase of carbon dioxide and many countries are forced to take measures. The first big measure was the Paris Agreement in 2015, and many countries joined the agreement. According to the agreement, many of the countries declared major shifts, such as the shift to electric vehicles in the car industry. The biggest concern about climate change at this moment is the rise of the temperature and it causes more death by heat stroke in summer. It also causes more usage of air conditioning systems and emits more carbon dioxide. It became a serious vicious circle. For that reason, it is important to analyze the mechanism of the human thermal sensation, which can be affected by the environmental history of the person, such as the residential area, the length of stay, and so on. In addition, it is expected that the effect of these histories especially appears strongly outdoors. For that reason, the outdoor experiment targeting short-term residents was carried out in Bangkok. For the experiment, 5 measuring points were selected. As a result, a different tendency was grasped at one of the measuring points with an open sky.
The diurnal temperature range (DTR) is a significant indicator of climate change, and a previous study has shown its impact on human health. However, research investigating the influence of DTR on road traffic accidents is scarce. Thus, this study aims to evaluate the impact of changes in DTR on road traffic accidents. The present study employs two methods to address the complexities of road accidents. Firstly, panel data from 20 cities and counties in Taiwan are utilized, and the autoregressive distributed lag (ARDL) model is employed for estimation. Secondly, distributed lag non-linear models (DLNMs) are used with quasi-Poisson regression analysis to assess the DTR’s lagged and non-linear relationships with road accidents using time series data from six Taiwanese metropolitan cities. The study results indicate that a decrease of 1 degrees C in DTR raises long-term road traffic accidents by 17.1%. In the short term, the impact of declining DTR on road accidents is around 4%. Moreover, the effect of low DTR values differs in each city in Taiwan. Three cities had high levels of road accidents, as evidenced by an increase in the relative risk value; two cities had moderate responses; and one city had a relatively lower response compared to high DTR values. Finally, based on the cumulative relative risk estimations, the study found that a low diurnal temperature range is linked to a high road traffic accident rate, especially during the lag-specific 0-5 months. The findings of this study offer fresh evidence of the negative impact of climate factor on road traffic accidents.
Assuring the quantity and quality of groundwater resources is essential for the well-being of human and ecological health, society, and the economy. For the last few decades, groundwater vulnerability modeling techniques have become essential for groundwater protection and management. Groundwater contamination is highly dynamic due to its dependency on recharge, which is a function of time-dependent parameters such as precipitation and evapotranspiration. Therefore, it is necessary to consider the time-series analysis in the “approximation” process to model the dynamic vulnerability of groundwater contamination. This systematic literature review (SLR) aims to critically review the methods used to evaluate the spatiotemporal assessment of groundwater vulnerability. The PRISMA method was employed to search web platforms and refine the collected research articles by applying certain inclusion and exclusion criteria. Despite the enormous growth in this field in recent years, spatiotemporal variations in precipitation and evapotranspiration were not considered considerably. Groundwater contamination vulnerability assessment needs to integrate the multicriteria decision support tools for better analysis of the subsurface flow, residence time, and groundwater recharge. Holistic approaches need to be formulated to evaluate the groundwater contamination in changing climatic scenarios and uncertainties, which can provide knowledge and tools with which to prepare sustainable groundwater management strategies.
An area with the potential of producing high concentrations of airborne pollen is defined as the ‘potential pollinosis area’. However, the detailed dynamics of pollen dispersion are not fully understood. Further, studies on the detailed dynamics of the pollen-generating environment are limited. This study aimed to determine the relationship between the dynamics of potential pollinosis areas and annual meteorological factors with high spatiotemporal resolution. We visualised and analysed the dynamics of the potential polliosis area based on 11-year high-spatial-density observation data for the atmospheric concentrations of Cryptomeria japonica pollen. The results showed that the potential pollinosis area headed northeast with repeated expansion and contraction, while the centre of the potential pollinosis area leaped to the north in mid-March. The variance in the fluctuation of the coordinates for the potential pollinosis area before the northward leap was strongly related to the variance in the relative humidity of the previous year. These results indicated that the pollen grains of C. japonica across Japan are distributed based on the meteorological conditions of the previous year until mid-March, after which, the pollen grains are distributed through flowering synchrony. Our results suggest that daily nationwide flowering synchrony has a significant annual impact, and changes in relative humidity caused by, for example, global warming would affect the occurrence and predictability of seasonal changes in the pollen dispersion dynamics of C. japonica and other pollen-producing species. Our study showed that pollen production by C. japonica through flowering synchrony is a major cause of nationwide pollinosis and other allergy-related health problems.
Eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) are omega-3 very long-chain polyunsaturated fatty acids (VLC-PUFAs) that offer a wide range of human health benefits impacting cardiovascular, anti-inflammatory, and neurological health. It is widely known that humans inefficiently synthesize these compounds and as such rely on exogenous dietary sources, such as marine fish oils. Unfortunately, the production of marine fish oils is an unsustainable process and has suffered a dramatic fall in recent years due to overfishing and climate change, as the demand for EPA and DHA continues to rise. Therefore, there is an urgent need to develop alternative, sustainable sources for consumable EPA and DHA. Metabolic engineering of marine microalgae to improve their EPA and DHA productivity is regarded as a promising option that has received increasing commercial attention in recent years. In this mini-review, we describe several notable health benefits of EPA and DHA, summarize the natural sources and biosynthesis of VLC-PUFAS, as well as the recent advances in metabolic engineering of EPA and DHA production in representative microalgal and protist species, including Schizochytrium sp., Phaeodactylum tricornutum, and Nannochloropsis oceanica.
Early life in-utero can have long-term influence on the mental health status of individuals in adulthood, such as depression. Age, gender, socio-economic status, education, and geography are demographic factors shown to be particularly vulnerable towards the development of depressive symptoms. In addition, climate risks on depression include sunlight, rain, and temperature. However, whether climate factors in early life have a long-term influence on depression related to demographic vulnerability remains unknown. Here, the present study explored the association between birth seasonality and adulthood depressive symptoms. METHODS: We employed data from the project of Chinese Labour-forces Dynamic Survey (CLDS) 2016, containing the epidemiological data of depressive symptoms with a probability proportional to size cluster and random cluster sampling method in 29 provinces of China. A final sample size of 16,185 participants was included. Birth seasonality included spring (March, April, and May), summer (June, July, and August), autumn (September, October, and November), and winter (December, January, and February). RESULTS: We found that born in Autumn peaked lowest rate of having depressive symptoms (16.8%) and born in Summer (vs. Autumn) had a significant higher ratio (OR = 1.14, 95%CI = 1.02, 1.29) when controlling for demographic variables. In addition, demographic odds ratio of having depressive symptoms differed between people born in different seasons, particular for age and geography. CONCLUSION: Our findings suggest that birth seasonality influences the sensitive link of depressive symptoms with age and geography. It implicates early life climate environment may play a role in the development of adulthood depressive symptoms.
In light of global climate change, the variance of rainfall is projected to increase substantially, affecting every country. In this paper, we examine how exposure to rainfall during the first 1,000 days of life influences women’s long-term human capital accumulation in the context of 28 African countries. Exploiting the exogenous deviations of rainfall from the historical norms, we document a positive relationship between rainfall during the first 1,000 days and women’s educational attainment. The effects mostly come from rainfall variability in agricultural season. There is also suggestive evidence that larger impacts are detected among women from low-income countries and women living in areas with poor market integration.
Climate change is an increasingly important global concern, requiring urgent action. To achieve environmental sustainability, identifying the predictors influencing individuals’ actions is necessary. Individuals with negative psychological responses to climate change, such as eco-anxiety, are more likely to engage in pro-environmental behaviour. However, eco-anxiety and other perceptions associated with climate change and sustainability can differ based on an individual’s unique background. Therefore, this study aimed to identify potent predictors of individuals’ environmental sustainability interest and examine the impact of eco-anxiety on environmental sustainability interest. Data from 459 South Korean adults (19-65 years) were included in this secondary analysis. Eco-anxiety, climate change risk perception and future event cognition were assessed by the Climate Change Anxiety Scale, the Climate Change Risk Perception Inventory and Future Event Questionnaires, respectively. Multiple linear regression analysis showed that eco-anxiety was the most potent predictor of environmental sustainability interest, followed by climate change risk perception, age 60-65 years, future event cognition and age under 30 years. Considering that eco-anxiety is the most potent predictor of environmental sustainability interest, mental health nurses should assess patients’ eco-anxiety level and help them recognize and manage their anxiety levels appropriately. Age-specific approaches should be considered for interventions to enhance environmental sustainability interest. Further studies are needed to determine the cut-off anxiety level that influences the positive impact on environmental sustainability interest and to develop programmes to manage eco-anxiety.
According to the scientific literature, climate change, due to human activities, can damage the environment, with psycho-physical consequences for humans. The scientific literature has highlighted how severe weather events can cause fear, stress, concern for the future, and eco-anxiety. In light of this information, this study aims to explore the concept of eco-anxiety. However, climate change is still perceived as a secondary problem. It would also be worth investigating the real importance that people attach to environmental issues compared to other circumstances, such as wars or pandemics.
Climate change is a serious threat to human health and the awareness of this threat can elicit ecological anxiety (eco-anxiety), which could be considered a rational and potentially adaptive response. However, the experience of eco-anxiety does not always lead to adaptive behaviour. The present study investigated whether differential patterns of selective attention towards climate-related information, and variability in this attention, might explain this inconsistent relationship. Participants completed a dot-probe assessment of attentional bias to images of both climate change mitigation strategies and of climate change causes and consequences, and measures of eco-anxiety, climate change belief, environmental self-efficacy, and general psychological symptoms. Engagement in pro-environmental behaviours was measured using a daily behavioural diary. Eco-anxiety and attentional bias independently predicted behaviour, but did not interact. However, attentional bias variability moderated the relationship between eco-anxiety and behaviour, such that higher eco-anxiety predicted greater behavioural engagement, but only when attentional bias variability was low. This was the first known study to examine the potential moderating effect of attentional bias on the relationship between eco-anxiety and pro-environmental behaviours. This growing field of research can help in identifying how the rational response of eco-anxiety can be better harnessed to motivate an adaptive response to the climate crisis.
It is now widely acknowledged that climate change will have a considerable impact on various aspects of human existence, and this includes happiness and satisfaction with life. This study adds to the existing literature on the contribution of climate to well-being by exploring the interaction of various climate variables at the national and local levels while controlling for socioeconomic factors. Using climate data covering a 20-yr period and demographic data from the Household Income Labor Dynamics in Australia surveys, several ordinary least squares (OLS) models of interaction are developed to test the proposition that climate does influence life satisfaction. Geographically weighted regression is then applied to explore how the relationship between explanatory variables and life satisfaction varies across different regions of Australia. We find that overall rainfall, temperature, and sunshine have a small but significant effect on individual life satisfaction. The spatial analysis reveals a high level of nonstationarity in the way climate variables impact life satisfaction, suggesting that regional climate type may be an important element influencing the relationship. The understanding of this relationship may assist policy makers who develop resilience and adaptation strategies as we face the impacts of climate change.
Anthropogenic climate change will likely put dwellings at risk of overheating and potentially increase cooling demand in the decades ahead, leading to higher greenhouse gas (GHG) emissions due to the energy consumed for mechanical cooling. Contemporary constructions with highly insulated fabric have been found to suffer from periodic overheating in today’s climate, the occurrence of which is projected to increase in frequency as the temperature rises. This critical review investigates the factors affecting overheating risks in dwellings and passive cooling strategies to mitigate overheating impacts on occupant thermal comfort and wellbeing. The cooling efficiency of passive strategies is affected by the design, construction and operation of buildings, as well as climate and occupancy. A framework has been developed to illustrate the effect of overheating factors on the cooling efficacy of passive strategies. Findings suggest that a combination of passive strategies is required to minimise overheating risks by the 2080s. External solar shading is the most effective method for retrofitting insulated dwellings. On the other hand, cool paint is ideal for uninsulated dwellings. In addition, thermal mass and natural ventilation require occupant interaction for optimal air circulation and cooling performance.
Natural disasters, pandemics, and epidemics have devastating impacts on communities. Poverty, famine, ill health, social isolation, and death are some of the consequences of such events. Transformations in culture, religion, political and economic stability, and other social aspects can also be attributed to catastrophic incidents. Whilst such events have been well documented and studied, little attention has been given to their effect on children. Using osteoarchaeological and historical evidence, this review article explores how children appear to have been affected during, and in the aftermath of, natural disasters and epidemics. A range of cases from Antiquity to the modern day is provided, alongside three focal case studies. This research demonstrates analogies with the present-day where countries face disease outbreaks, droughts, floods, and earthquakes. Ultimately, the findings presented in this paper illustrate the extent to which these events shaped the lives and deaths of children in the past.
This case report discusses a 25-year-old male who was referred to community mental health services from primary care with symptoms of anxiety and depression related to climate change, which the referring clinician believed were of delusional intensity. This case report gives the history of his interaction with the service. A literature review is performed noting the dearth of case reports in this area and a subsequent discussion charts the emerging literature on mental health issues related to climate change. Finally the paper makes some broad recommendations for mental health practitioners on how to approach these issues.
Obesity, undernutrition, and climate change constitute a global syndemic that disproportionately affects vulnerable populations, including children. Double- and triple-duty actions that simultaneously address these pandemics are needed to prevent further health, economic, and environmental consequences. Evidence describing the implementation and evaluation of such actions is lacking. This review summarized the literature on whole-of-population actions targeting children that were designed or adapted to be double or triple duty. Six academic databases were searched (January 2015-March 2021) using terms related to ‘children’, ‘intervention’, ‘nutrition’, ‘physical activity’, and ‘climate change’. Data were extracted from 43/15,475 studies, including six randomized controlled trials. Most (58%) described triple-duty actions targeting food systems in schools such as implementing guidelines for healthier and environmentally sustainable school meals programs, and 51% reported engaging community in the design, implementation, and/or evaluation of actions. Changes in dietary intake, diet composition, greenhouse gas emissions, and food waste were the most frequently reported outcomes and 21 studies (three randomized controlled trials) showed positive double- or triple-duty effects. This review is the first to demonstrate that double- and triple-duty actions for addressing the global syndemic in childhood have been implemented and can have a positive impact on obesity, undernutrition, and climate change.
Context Climate change and global warming have been hypothesized to influence the increased prevalence of obesity worldwide. However, the evidence is scarce. Objective We aimed to investigate how outside temperature might affect adipose tissue physiology and metabolic traits. Methods The expression of genes involved in thermogenesis/browning and adipogenesis were evaluated (through quantitative polymerase chain reaction) in the subcutaneous adipose tissue (SAT) from 1083 individuals recruited in 5 different regions of Spain (3 in the North and 2 in the South). Plasma biochemical variables and adiponectin (enzyme-linked immunosorbent assay) were collected through standardized protocols. Mean environmental outdoor temperatures were obtained from the National Agency of Meteorology. Univariate, multivariate, and artificial intelligence analyses (Boruta algorithm) were performed. Results The SAT expression of genes associated with browning (UCP1, PRDM16, and CIDEA) and ADIPOQ were significantly and negatively associated with minimum, average, and maximum temperatures. The latter temperatures were also negatively associated with the expression of genes involved in adipogenesis (FASN, SLC2A4, and PLIN1). Decreased SAT expression of UCP1 and ADIPOQ messenger RNA and circulating adiponectin were observed with increasing temperatures in all individuals as a whole and within participants with obesity in univariate, multivariate, and artificial intelligence analyses. The differences remained statistically significant in individuals without type 2 diabetes and in samples collected during winter. Conclusion Decreased adipose tissue expression of genes involved in browning and adiponectin with increased environmental temperatures were observed. Given the North-South gradient of obesity prevalence in these same regions, the present observations could have implications for the relationship of the obesity pandemic with global warming.
Eastern Africa exhibits bimodal rainfall consisting of long rains (March-May) and short rains (October-December), changes in which have profound socioeconomic and environmental impacts. In this Review, we examine the drivers and corresponding impacts of Eastern African rainfall variability. Remote teleconnections, namely the El Nino-Southern Oscillation and the Indian Ocean Dipole, exert a dominant influence on interannual variability. From the mid-1980s to 2010, the long rains have tended toward a drier state (trends of -0.65 to -2.95 mm season(-1) year(-1)), with some recovery thereafter, while the short rains have become wetter since the mid 1980s (1.44 to 2.36 mm season(-1) year(-1)). These trends, overlain by substantial year-to-year variations, affect the severity and frequency of extreme flooding and droughts, the stability of food and energy systems, the susceptibility to water-borne and vector-borne diseases, and ecosystem stability. Climate model projections of rainfall changes differ, but there is some consensus that the short rains will deliver more rainfall than the long rains by 2030-2040, with implications for sustaining agricultural yields and triggering climate-related public health emergencies. Mitigating the impacts of future Eastern African climate requires continued investments in agriculture, clean water, medical and emergency infrastructures, and development and adoption of adaptation strategies, as well as targeted early-warning systems driven by improved meteorological observations. Rainfall variability in Eastern Africa is associated with considerable social and environmental impacts, including threats to water, energy and food security. This Review outlines the drivers of this rainfall variability, their corresponding impacts, and potential future changes with anthropogenic warming.
The Murray-Darling Basin (MDB) is Australia’s prime agricultural region, where drought and hotter weather pose a significant threat to rural residents’ mental health – hence increasing their potential suicide risk. We investigate the impact of drought and hotter temperatures on monthly suicide within local areas in the MDB, from 2006-2016. Using Poisson fixed-effects regression modeling, we found that extreme drought and hotter temperatures were associated with increased total suicide rates. The effects of extreme drought and temperature on suicide were heterogeneous across gender and age groups, with younger men more vulnerable. Areas with higher percentages of Indigenous and farmer populations were identified as hot spots, and were vulnerable to increased temperatures and extreme drought. Green space coverage (and to some extent higher incomes) moderated the drought and suicide relationship. Providing targeted interventions in vulnerable groups and hot spot areas is warranted to reduce the suicide effect of climate change.
Climate-induced extreme events could lead to drastic socioeconomic consequences, including altered cooperation behaviours. With survey experiments among Iraqi and Syrian refugees, this study finds drought experience could reduce altruism and group identity function as the key moderator. Previous research on climate change impact regularly considers conflict outcomes, thereby disregarding cooperative behaviour such as altruism. Drought has the potential to fuel inter-ethnic cleavages, thus contributing to conflicts. Yet this runs against resilience arguments suggesting people who experience environmental hardship are more cooperative. Here we examine altruism in survey experiments in a natural setting among refugees from Syria and Iraq. We match survey responses to observational data on drought and socioeconomic variables. Our findings speak to both arguments. First, we show that drought exposure is associated with decreased altruism for survey respondents generally. We further show how group identity moderates the relationship between drought and altruism. Our results suggest a decrease in altruism due to drought is much larger when the target of altruism is presented as a member of an antagonistic ethno-religious outgroup.
BACKGROUND: The distributions of ticks and tick-borne pathogens are thought to have changed rapidly over the last two decades, with their ranges expanding into new regions. This expansion has been driven by a range of environmental and socio-economic factors, including climate change. Spatial modelling is being increasingly used to track the current and future distributions of ticks and tick-borne pathogens and to assess the associated disease risk. However, such analysis is dependent on high-resolution occurrence data for each species. To facilitate such analysis, in this review we have compiled georeferenced tick locations in the Western Palearctic, with a resolution accuracy under 10 km, that were reported between 2015 and 2021 METHODS: The PubMed and Web of Science databases were searched for peer-reviewed papers documenting the distribution of ticks that were published between 2015 and 2021, using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The papers were then screened and excluded in accordance with the PRISMA flow chart. Coordinate-referenced tick locations along with information on identification and collection methods were extracted from each eligible publication. Spatial analysis was conducted using R software (version 4.1.2). RESULTS: From the 1491 papers identified during the initial search, 124 met the inclusion criteria, and from these, 2267 coordinate-referenced tick records from 33 tick species were included in the final dataset. Over 30% of articles did not record the tick location adequately to meet inclusion criteria, only providing a location name or general location. Among the tick records, Ixodes ricinus had the highest representation (55%), followed by Dermacentor reticulatus (22.1%) and Ixodes frontalis (4.8%). The majority of ticks were collected from vegetation, with only 19.1% collected from hosts. CONCLUSIONS: The data presented provides a collection of recent high-resolution, coordinate-referenced tick locations for use in spatial analyses, which in turn can be used in combination with previously collated datasets to analyse the changes in tick distribution and research in the Western Palearctic. In the future it is recommended that, where data privacy rules allow, high-resolution methods are routinely used by researchers to geolocate tick samples and ensure their work can be used to its full potential.
Physiological equivalent temperature (PET) is one of most used indices for outdoor human well-being evaluation; its determination is particularly helpful for adaptation strategies in built-up areas affected by the urban heat island (UHI) phenomenon. In this work, we presented a methodology to compute spatially and temporally resolved PET values during a heatwave at the city level, based on a combination of satellite products, in situ measurements and Envi-met model runs upscaled from specific test areas to the broader city. The method exploits the ECOSTRESS sensor to detect surface thermal patterns at different diurnal times by developing an hourly based index called hUHTI (hourly urban heatwave thermal index) that serves as a proxy. A case study on Prato (Italy) municipality during the 2021 summer heatwave events is presented. Based on the available satellite products, a set of six hourly diurnal PET maps at 10 m spatial resolution were derived and daytime outdoor thermal patterns and trends were investigated according to land cover. hUHTI index resulted a more suitable tool as PET proxy compared to the sole ECOSTRESS land surface temperature (LST) product, especially for morning and evening times. Hourly PET maps were summarized by the use of an average exceedance map providing public administrations and stakeholders a synthetic tool for urban regeneration purposes at city scale.
Previous heat risk assessments have limitations in obtaining accurate heat hazard sources and capturing population distributions, which change over time. This study proposes a diurnal heat risk assessment framework incorporating spatiotemporal air temperature and real-time population data. Daytime and nighttime heat risk maps were generated using hazard, exposure, and vulnerability components in Seoul during the summer of 2018. The hazard was derived from the daily extreme air temperatures obtained using the stacking machine learning model. Exposure was calculated using de facto population density, and vulnerability was assessed using demographic and socioeconomic indicators. The resulting maps revealed distinct diurnal spatial patterns, with high-risk areas in the urban core during the day and dispersed at night. Daytime heat risk was strongly correlated with heat-related illness ratios (R = 0.8) and accurately captured temporal fluctuations in heat-related illness incidence. The proposed framework can guide site-specific adaptation and response plans for dynamic urban heat events.
Toxigenic fungi, including Aspergillus and Fusarium species, contaminate our major cereal crops with an array of harmful mycotoxins, which threaten the health of humans and farmed animals. Despite our best efforts to prevent crop diseases, or postharvest spoilage, our cereals are consistently contaminated with aflatoxins and deoxynivalenol, and while established monitoring systems effectively prevent acute exposure, Aspergillus and Fusarium mycotoxins still threaten our food security. This is through the understudied impacts of: (i) our chronic exposure to these mycotoxins, (ii) the underestimated dietary intake of masked mycotoxins, and (iii) the synergistic threat of cocontaminations by multiple mycotoxins. Mycotoxins also have profound economic consequences for cereal and farmed-animal producers, plus their associated food and feed industries, which results in higher food prices for consumers. Climate change and altering agronomic practices are predicted to exacerbate the extent and intensity of mycotoxin contaminations of cereals. Collectively, this review of the diverse threats from Aspergillus and Fusarium mycotoxins highlights the need for renewed and concerted efforts to understand, and mitigate, the increased risks they pose to our food and feed cereals.
Climate change and extreme weather events have been shown to increase incidences of gender-based violence (GBV). Numerous organizations have devoted significant time, resources, and effort to the design and implementation of interventions aimed at reducing GBV in Africa. Some interventions effectively reduce violence, but GBV persists and remains pervasive. The United Nations has called for GBV interventions that consider the impact of climate change on violence. This review aims to determine whether public health interventions intended to reduce GBV in Africa take into account the effects of climate change on the region and the population. PubMed, PsychArticles, and CINAHL databases were searched systematically in February 2023 for interventions conducted in Africa published between 2010 and 2023. There were a total of 86 articles in the final review that described 40 distinct interventions. The intervention designs included empowerment and participatory approaches (microfinance, microfinance plus, community education, and community engagement), changing social and cultural norms (community education, community engagement, and media), and school-based programs. None of the 40 interventions mentioned climate, weather, or climate change as a component of the intervention. There are several opportunities to improve existing, successful GBV interventions in order to increase their efficacy. GBV interventions could incorporate economic independence programs that do not rely on agriculture and include climate change education. These findings could facilitate the integration of two previously distinct research disciplines-climate change and GBV prevention-to inform future research and develop more effective and cost-efficient interventions.
BACKGROUND: Precipitation anomalies are associated with a number of poor health outcomes. One potential consequence of precipitation extremes is human geographic mobility. We evaluated the associations between precipitation anomalies (droughts and heavy rains) and short-term mobility in 23 sub-Saharan African countries by linking satellite data on precipitation to cross-sectional representative surveys. METHODS: Using data from 23 Demographic and Health Surveys from 2011 to 2017, we estimated the associations between deviations in long-term rainfall trends and short-term mobility among 294,539 women and 136,415 men over 15 years of age. We fit multivariable logistic regression models to assess potential non-linear relationships between rainfall deviations and short-term mobility, adjusting for survey month and socio-demographic covariates, and stratified by participant gender. Furthermore, we assessed whether these associations differed by marital status. RESULTS: Rainfall deviations were associated with short-term mobility among women, but not men. The relationship between rainfall deviations and mobility among women was U-shaped, such that women had increased marginal probabilities of mobility in instances of both lower and heavier precipitation. Differences between married and unmarried women were also revealed: among married women, we found positive associations between both rainfall deviation extremes (drought and heavy rains) and mobility; however, among unmarried women, there was only a positive association for heavy rains. CONCLUSION: Precipitation anomalies were associated with short-term mobility among women, which may be in turn associated with poor health outcomes. More research with longitudinal data is needed to elaborate the associations between weather shocks, mobility, and downstream health impacts.
It is unclear if ambient temperature changes affect eczema. It is also unclear if people with worse disease are more susceptible to weather-related flares, or specific types of emollient offer protection. OBJECTIVES: To investigate the effect of short-term temperature variations on eczema symptoms in children. METHODS: Data from a UK cohort of 519 children with eczema were combined with data from the Hadley Centre’s Integrated Surface Database. Hot and cold weeks were defined by average regional temperature > 75th or < 25th percentile, January 2018 to February 2020. Eczema flares were defined as ≥ 3-point change in Patient-Oriented Eczema Measure (POEM). Random-effects logistic regression models were used to estimate the odds ratios of flares in hot and cold weeks (reference group: temperate weeks). RESULTS: The baseline mean age was 4.9 years (SD 3.2) and the POEM score was 9.2 (SD 5.5). From the 519 participants, there were 6796 consecutively paired POEMs and 1082 flares. Seasonal variation in POEM scores was observed, suggesting symptoms worsening in winter and improving in summer. Odds ratios of flares were: 1.15 [95% confidence interval (CI) 0.96-1.39, P = 0.14] in cold weeks and 0.85 (95% CI 0.72-1.00, P = 0.05) in hot weeks. The likelihood ratio test showed no evidence of this differing by disease severity (P = 0.53) or emollient type used (P = 0.55). CONCLUSIONS: Our findings are consistent with previous studies demonstrating either improvements in eczema symptoms or reduced flares in hot weather. Worse disease and different emollient types did not increase susceptibility or provide protection against temperature changes. Further work should investigate the role of sunlight, humidity, pollution and other environmental factors.
Although the utility of Ecological Niche Models (ENM) and Species Distribution Models (SDM) has been demonstrated in many ecological applications, their suitability for modelling epidemics or pandemics, such as SARS-Cov-2, has been questioned. In this paper, contrary to this viewpoint, we show that ENMs and SDMs can be created that can describe the evolution of pandemics, both in space and time. As an illustrative use case, we create models for predicting confirmed cases of COVID-19, viewed as our target “species”, in Mexico through 2020 and 2021, showing that the models are predictive in both space and time. In order to achieve this, we extend a recently developed Bayesian framework for niche modelling, to include: (i) dynamic, non-equilibrium “species” distributions; (ii) a wider set of habitat variables, including behavioural, socio-economic and socio-demographic variables, as well as standard climatic variables; (iii) distinct models and associated niches for different species characteristics, showing how the niche, as deduced through presence-absence data, can differ from that deduced from abundance data. We show that the niche associated with those places with the highest abundance of cases has been highly conserved throughout the pandemic, while the inferred niche associated with presence of cases has been changing. Finally, we show how causal chains can be inferred and confounding identified by showing that behavioural and social factors are much more predictive than climate and that, further, the latter is confounded by the former.
AIM: Coronavirus is an airborne and infectious disease and it is crucial to check the impact of climatic risk factors on the transmission of COVID-19. The main objective of this study is to determine the effect of climate risk factors using Bayesian regression analysis. METHODS: Coronavirus disease 2019, due to the effect of the SARS-CoV-2 virus, has become a serious global public health issue. This disease was identified in Bangladesh on March 8, 2020, though it was initially identified in Wuhan, China. This disease is rapidly transmitted in Bangladesh due to the high population density and complex health policy setting. To meet our goal, The MCMC with Gibbs sampling is used to draw Bayesian inference, which is implemented in WinBUGS software. RESULTS: The study revealed that high temperatures reduce confirmed cases and deaths from COVID-19, but low temperatures increase confirmed cases and deaths. High temperatures have decreased the proliferation of COVID-19, reducing the virus’s survival and transmission. CONCLUSIONS: Considering only the existing scientific evidence, warm and wet climates seem to reduce the spread of COVID-19. However, more climate variables could account for explaining most of the variability in infectious disease transmission.
BACKGROUND: Climate change has effects on multiple aspects of human life, such as access to food and water, expansion of endemic diseases as well as an increase of natural disasters and related diseases. The objective of this review is to summarize the current knowledge on climate change effects on military occupational health, military healthcare in a deployed setting, and defense medical logistics. METHODS: Online databases and registers were searched on August 22(nd), 2022 and 348 papers retrieved, published between 2000 and 2022, from which we selected 8 publications that described climate effects on military health. Papers were clustered according to a modified theoretical framework for climate change effects on health, and relevant items from each paper were summarized. RESULTS: During the last decades a growing body of climate change related publications was identified, which report that climate change has a significant impact on human physiology, mental health, water- and vector borne infectious diseases, as well as air pollution. However, regarding the specific climate effects on military health the level of evidence is low. The effects on defense medical logistics include vulnerabilities in the cold supply chain, in medical devices functioning, in need for air conditioning, and in fresh water supply. CONCLUSIONS: Climate change may transform both the theoretical framework and practical implementations in military medicine and military healthcare systems. There are significant knowledge gaps on climate change effects on the health of military personnel in operations of both combat and non-combat nature, alerting the need for prevention and mitigation of climate-related health issues. Further research within the fields of disaster and military medicine is needed to explore this novel field. As climate effects on humans and the medical supply chain may degrade military capability, significant investments in military medical research and development are needed.
BACKGROUND AND AIM: Meteorological factors affect the respiratory system, and the most important factor is the change in ambient temperature and humidity. We aimed to investigate the seasonal characteristics of patients diagnosed with cryptogenic organizing pneumonia. METHODS: The study included 84 cryptogenic organizing pneumonia, 55 chronic obstructive pulmonary disease, and 42 asthma patients. To determine the characteristics of the disease according to the seasons, the number of attacks and admissions was grouped according to the seasonal characteristics and analyzed for three groups. RESULTS: Among cryptogenic organizing pneumonia and chronic obstructive pulmonary disease patients, males significantly predominated (p<0.001). The hospitalization rate was highest in chronic obstructive pulmonary disease patients but similar to cryptogenic organizing pneumonia and asthma patients (p<0.001). The highest admission rate in cryptogenic organizing pneumonia patients was observed in spring (39.3% in spring, 26.2% in fall, 22.6% in winter, and 11.9% in summer). In winter, cryptogenic organizing pneumonia patients were admitted less frequently than chronic obstructive pulmonary disease and asthma patients. The neutrophil-to-lymphocyte ratio was higher in cryptogenic organizing pneumonia patients than in asthma patients and similar to chronic obstructive pulmonary disease patients. CONCLUSION: As a result of our study, the high rate of diagnosis and admission in the spring in cryptogenic organizing pneumonia suggested that the effect of allergens on the formation of cryptogenic organizing pneumonia should be investigated. In contrast, it should be kept in mind that cryptogenic organizing pneumonia may develop as a prolonged finding of involvement that may occur in the lung parenchyma due to lung infections and/or cold weather triggering during the winter months. In this regard, further studies can be conducted in which allergens and/or the history of infection in patients and meteorological variables are also evaluated.
BACKGROUND: It remains unknown how ambient temperature impact pneumonia of various infectious causes. METHODS: Based on the national death registry covering all counties in Chinese mainland, we conducted an individual-level case-crossover study in China from 2013 to 2019. Exposures were assigned at residential addresses for each decedent. Conditional logistic regression model combined with distributed lag non-linear models were used to estimate the exposure-response associations. The attributable fractions due to non-optimum temperature were calculated after accounting for spatial and temporal patterns for the excess risks. FINDINGS: The exposure-response curves were inversely J-shaped with both low and high temperature increasing the risks, and the effect of low temperature was stronger. Extremely low temperature was associated with higher magnitude of influenza-related pneumonia [relative risk (RR): 2.46, 95% confidence interval (CI): 1.62-3.74], than viral pneumonia (RR: 1.89, 95% CI: 1.55-2.30) and bacterial pneumonia (RR: 1.81, 95% CI: 1.56-2.09). The magnitudes of RRs associated with extremely high temperature were similar among the three categories of pneumonia. The mortality attributable fraction for influenza-related pneumonia (29.78%) was the highest. The effects were stronger in people of low education level or residence in the north. INTERPRETATION: This nationwide study presents findings on the varied risk and burden of pneumonia mortality of various infectious causes, and highlights the susceptibility of influenza-related pneumonia to ambient low temperature. FUNDING: This study is supported by the National Key Research and Development Program (2022YFC3702701), the Shanghai Municipal Science and Technology Commission (21TQ015) and Shanghai International Science and Technology Partnership Project (21230780200).
Natural and human-made disasters have long played a role in shaping the environment and microbial communities, also affecting non-microbial life on Earth. Disaster microbiology is a new concept based on the notion that a disaster changes the environment causing adaptation or alteration of microbial populations -growth, death, transportation to a new area, development traits, or resistance- that can have downstream effects on the affected ecosystem. Such downstream effects include blooms of microbial populations and the ability to colonize a new niche or host, cause disease, or survive in former extreme conditions. Throughout history, fungal populations have been affected by disasters. There are prehistoric archeological records of fungal blooms after asteroid impacts and fungi implicated in the fall of the dinosaurs. In recent times, drought and dust storms have caused disturbance of soil fungi, and hurricanes have induced the growth of molds on wet surfaces, resulting in an increased incidence of fungal disease. Probably, the anticipated increase in extreme heat would force fungi adaptation to survive at high temperatures, like those in the human body, and thus be able to infect mammals. This may lead to a drastic rise of new fungal diseases in humans.
The number of natural disasters has increased globally as a result of climate change. Community nurses become frontline workers in disaster-struck areas, protecting their clients from harm and risk. The number of communitybased healthcare providers in Japan has increased in recent years, along with the shift from cure-focused acute healthcare to home-based care settings. Many studies have investigated the preparedness and willingness to provide care in the aftermath of a disaster. However, there is still a dearth of knowledge on disaster preparedness among community-based healthcare professionals globally. This study investigated the preparedness of community nurses in Hiroshima, Japan, focusing on nurses providing home-based care. A mixed method design was employed, and data were collected through surveys and interviews. The survey results indicated a positive association between disaster experience and training, as well as training and the existence of a disaster plan. Further, participants reported that healthcare providers neglected the preparation of disaster plans due to time constraints and a lack of incentives; our results suggest that incentives may promote disaster preparedness.
Scientifically analyzing and documenting climate change and related disaster risks is demanded by international organizations such as the United Nations. However, global or national studies predominate, and cross-regional overviews are lacking, especially for Western Asia. In four countries in the region, Iran, Israel, Saudi Arabia, and Turkey, transport accidents, floods, fires, and earthquakes are the predominant accidents and disasters in the Emergency Events Database (EM-DAT). The result is different when analyzing the scientific publications via a bibliometric literature analysis using VOS viewer and the Web of Science, and earthquakes, climate change, COVID-19, and terrorism dominate here. Governance and management are also an important and recurring cluster topic. The conceptual components of vulnerability and resilience are discussed in most countries. The hazards are often associated with specific concepts and quantitative methods. GIS and remote sensing as specific methodologies also often appear in a cluster. Further clusters derived from the keyword search include floods and droughts, food security and agriculture, and posttraumatic stress and psychological aspects. The results help us to identify countries with a rich literature on certain hazards and gaps in relation to other types of disasters, which are more prevalent. The findings can help scientists and policymakers to support future studies based on either high or low research coverage.
INTRODUCTION: Since 1902, disasters in the Northern Triangle of Central America, which consists of the countries Guatemala, Honduras, and El Salvador, have caused over one-hundred-thousand deaths, affected millions of people, and caused tens of billions of dollars in damages. Understanding the nature and frequency of these events will allow stakeholders to decrease both the acute damages and the long-term deleterious consequences of disasters. STUDY OBJECTIVE: This study provides a descriptive analysis of all disasters recorded in the Emergency Events Database (EM-DAT) affecting Guatemala, Honduras, and El Salvador from 1902-2022. METHODS: Data were collected and analyzed from the EM-DAT, which categorizes disasters by frequency, severity, financial cost, distribution by country, burden of death, number of people affected, financial cost by country, and type of disasters most prevalent in each country. Results are presented as absolute numbers and as a percentage of the overall disaster burden. These trends are then graphed over the time period of the database. RESULTS: The EM-DAT recorded 359 disasters in the Northern Triangle from 1902 through 2022. Meteorologic events (floods and storms) were the most common types of disaster (44%), followed by transport accidents (13%). Meteorologic events and earthquakes were the most severe, as measured by deaths (62%), people affected (60%), and financial cost (86%). Guatemala had the greatest number of disasters (45%), deaths (68%), and affected people (52%). The financial costs of the disasters were evenly distributed between the three countries. CONCLUSION: Meteorologic disasters are the most common and most severe type of disaster in the Northern Triangle. Earthquakes and transport accidents are also common. As climate change causes more severe storms in the region, disasters are likely to increase in severity as well. Governments and aid organizations should develop disaster preparedness and mitigation strategies to lessen the catastrophic effects of future disasters. Missing data limit the conclusions of this study to general trends.
Heat waves and extreme weather events caused by climate change increase people’s need for predictable, healthy, and appropriate thermal thresholds in urban areas. The Mediterranean region, where alarming effects are expected, poses a danger to many species and threatens the quality of human life. In the research, predictions were made according to SSP 245 and SSP 585 scenarios from CNRM-CM6-1 climate models using the data of meteorological stations for 2020 in the Eastern Mediterranean region via CMIP6 and WorldClim database. The study aims to predict the change in the bioclimatic comfort situation of the region at 20-year intervals until 2100, depending on the periods. The highest annual temperatures seen in the area are 18-20 degrees C. In the 2100 estimations, areas with a value of 22-24 degrees C according to SSP 245 and 24-26 degrees C according to SSP 585 are modeled spatially. While the largest area in the basin today is the area with a humidity range of 62-64%, according to SSP 245, in 2100 predictions, the largest area will be 23% with a humidity level of 56-58%. While the wind speed in the area is currently 0.5-1 m/s, it decreases to 0-0.5 m/s in 36% of the area, according to SSP 585. According to the ETv index, quite cool areas are effective on a 36% area surface. However, in the 2100, compared to the SSP 245, the most comprehensive range is the slightly cool areas with 40%. According to SSP 585, mild areas will have a share of 42%. Warm areas, the most critical class of the index, will begin to form. According to DI, the field has a 58% share in the cold class. According to SSP 585, hot areas have a rate of 26%, and comfortable areas have a rate of 52%. Findings of thermal disturbance variation can help develop solutions to conditions in the context of the climatic values of the region.
Anxiety related to disasters is a topic of emergent research significance. Literature has shown that the potential occurrence of disasters can trigger feelings of anxiety for individuals. While a scale for measuring general anxiety and anxiety symptoms exists, a scale that measures worried thoughts related to land and forest fire is not yet available in the disaster and land and forest fire literature. The aim of this research was to measure and develop a valid scale for worried thoughts related to land and forest fire. We mapped worried thoughts related to land and forest fire onto anxiety over land and forest fire. We used focus groups to generate items for anxiety over land and forest fire and validated the scale for anxiety over land and forest fire. We used an online sur-vey to collect the data in Indonesia and we targeted residents who live near the fire prone areas in Kalimantan and Sumatra islands of Indonesia as participants. Through a systematic scale devel-opment procedure: Exploratory Factor Analysis (n=430), Confirmatory Factor Analysis (n=252), Confirmatory Factor Analysis for external validity (n=254), we developed a three -dimension scale for anxiety over land and forest fire i.e., habitat loss-related anxiety, economic and financial-related anxiety, and health-related anxiety. A further nomological network (n=370) established the validity and reliability of the scale. Our newly developed scale is found to be psychometrically sound as a valid instrument for the purpose of measuring anxiety over land and forest fire.
BACKGROUND: Drought is a slow-onset natural hazard with significant socioeconomic, environmental and psychological impacts. The extant literature has predominately focused on the physical and economic dimensions of resilience, which mainly address the socioeconomic and environmental consequences of drought. However, the mental health effects of chronic environmental adversity, such as prolonged drought, remain an under-researched area, and frameworks that build and strengthen the psychological aspect of the social resilience of communities are lacking. METHODS: This feasibility study will employ a mixed-method design sub-divided into three phases. Phase 1 will utilise social network analysis (SNA) to identify leadership patterns and their intersections across communities. While phase 2 will use semi-structured interviews to ascertain the perceived roles of identified leaders in preparing for and recovering from drought impacts, the third phase will adopt the Delphi method to unpack existing perceptions of control, coherence and connectedness.
Anopheles mosquitoes are the vectors of human malaria, a disease responsible for a significant burden of global disease and over half a million deaths in 2020. Here, methods using a time series of cost-free Earth Observation (EO) data, 45,844 in situ mosquito monitoring captures, and the cloud processing platform Google Earth Engine are developed to identify the biogeographical variables driving the abundance and distribution of three malaria vectors-Anopheles gambiae s.l., An. funestus, and An. paludis-in two highly endemic areas in the Democratic Republic of the Congo. EO-derived topographical and time series land surface temperature and rainfall data sets are analysed using Random Forests (RFs) to identify their relative importance in relation to the abundance of the three mosquito species, and they show how spatial and temporal distributions vary by site, by mosquito species, and by month. The observed relationships differed between species and study areas, with the overall number of biogeographical variables identified as important in relation to species abundance, being 30 for An. gambiae s.l. and An. funestus and 26 for An. paludis. Results indicate rainfall and land surface temperature to consistently be the variables of highest importance, with higher rainfall resulting in greater mosquito abundance through the creation of pools acting as mosquito larval habitats; however, proportional coverage of forest and grassland, as well as proximity to forests, are also consistently identified as important. Predictive application of the RF models generated monthly abundance maps for each species, identifying both spatial and temporal hot-spots of high abundance and, by proxy, increased malaria infection risk. Results indicate greater temporal variability in An. gambiae s.l. and An. paludis abundances in response to seasonal rainfall, whereas An. funestus is generally more temporally stable, with maximum predicted abundances of 122 for An. gambiae s.l., 283 for An. funestus, and 120 for An. paludis. Model validation produced R-2 values of 0.717 for An. gambiae s.l., 0.861 for An. funestus, and 0.448 for An. paludis. Monthly abundance values were extracted for 248,089 individual buildings, demonstrating how species abundance, and therefore biting pressure, varies spatially and seasonally on a building-to-building basis. These methods advance previous broader regional mosquito mapping and can provide a crucial tool for designing bespoke control programs and for improving the targeting of resource-constrained disease control activities to reduce malaria transmission and subsequent mortality in endemic regions, in line with the WHO’s ‘High Burden to High Impact’ initiative. The developed method was designed to be widely applicable to other areas, where suitable in situ mosquito monitoring data are available. Training materials were also made freely available in multiple languages, enabling wider uptake and implementation of the methods by users without requiring prior expertise in EO.
Global travel and climate change have drastically increased the number of countries with endemic or epidemic dengue. The largest dengue outbreak in Taiwan, with 43,419 cases and 228 deaths, occurred in 2015. Practical and cost-effective tools for early prediction of clinical outcomes in dengue patients, especially the elderly, are limited. This study identified the clinical profile and prognostic indicators of critical outcomes in dengue patients on the basis of clinical parameters and comorbidities. A retrospective cross-sectional study was conducted in a tertiary hospital from 1 July 2015 to 30 November 2015. Patients diagnosed with dengue were enrolled, and the initial clinical presentations, diagnostic laboratory data, details of the underlying comorbidities, and initial management recommendations based on 2009 World Health Organization (WHO) guidelines were used to evaluate prognostic indicators of critical outcomes in dengue patients. Dengue patients from another regional hospital were used to evaluate accuracy. A group B (4 points) classification, temperature < 38.5 °C (1 point), lower diastolic blood pressure (1 point), prolonged activated partial thromboplastin time (aPTT) (2 points), and elevated liver enzymes (1 point) were included in the scoring system. The area under the receiver operating characteristic curve of the clinical model was 0.933 (95% confidence interval [CI]: 0.905-0.960). The tool had good predictive value and clinical applicability for identifying patients with critical outcomes.
Emerging terms in the literature such as climate anxiety describe heightened concern, fear, and anxiety related to the climate crisis. Recent efforts have attempted to develop and validate scales to measure climate anxiety; however, extant research is largely focused on adults. Consequently, it is unclear whether developed measures are appropriate for adolescent populations, despite disproportionate impacts of the climate crisis experienced by this age group. The purpose of this study was two-fold; first, we aimed to assess levels of climate concern among Canadian adolescents using the Youth Development Instrument (YDI), a population-level youth well-being survey administered in schools with students (ages 15-18). Secondly, we collaborated with adolescents to adapt an existing climate anxiety scale to be included in the YDI survey. We used survey results to validate the adapted scale for use with adolescents and assessed levels of climate anxiety within our sample. In consultation with adolescents, the 13-item Climate Change Anxiety Scale (CCAS) was adapted to create the Climate Change Anxiety Scale – Short-form (CCAS-S) which consists of four-items adapted from the original CCAS. A total of 2306 respondents were included in analyses. Most adolescents reported feeling climate change concern (75.8%). A smaller proportion reported experiences of climate anxiety (48.7%). Confirmatory factor analysis supported a one-factor structure for the CCAS-S, with high internal consistency (Cronbach’s alpha = 0.95) and good model fit with error co-variance. Findings from this study provide construct validity evidence and reliability for the use of the CCAS-S in adolescent populations.
Anthropogenic and natural disasters (e.g., wildfires, oil spills, mine spills, sewage treatment facilities) cause water quality disturbances in fluvial networks. These disturbances are highly unpredictable in space-time, with the potential to propagate through multiple stream orders and impact human and environmental health over days to years. Due to challenges in monitoring and studying these events, we need methods to strategize the deployment of rapid response research teams on demand. Rapid response research has the potential to close the gap in available water quality data and process understanding through time-sensitive data collection efforts. This manuscript presents a protocol that can guide researchers in preparing for and researching water quality disturbance events. We tested and refined the protocol by assessing the longitudinal propagation of water quality disturbances from the 2022 Hermit’s Peak-Calf Canyon, NM, USA, the largest in the state’s recorded history. Our rapid response research allowed us to collect high-resolution water quality data with semi-continuous sensors and synoptic grab sampling. The data collected have been used for traditional peer-reviewed publications and pragmatically to inform water utilities, restoration, and outreach programs.
Exposure to heat is a recognized occupational risk factor. Deaths and accidents at work caused by high temperatures are underestimated. With the aim of detecting and monitoring heat-related illnesses and injuries, a prototype database of occupational events attributable to critical thermal conditions reported in Italian newspapers was created. Information was analyzed from national and local online newspapers using a web application. The analysis was conducted from May to September during the three-year period 2020-2022. Articles concerning 35 occupational heat-related illnesses and injuries were selected; 57.1% of the events were reported in 2022, and 31.4% of total accidents occurred in the month of July 2022, when the Universal Thermal Climate Index daily mean values corresponded to “moderate heat stress” (51.0%) and “strong heat stress” (49.0%). Fatal heat-related illnesses were the most frequent conditions described. In most cases, workers had been involved in outdoor activities in the construction sector. A comprehensive report was created by compiling all relevant newspaper articles to enhance awareness of this issue among relevant stakeholders and promote heat-risk prevention strategies in the current context where heatwaves are becoming increasingly frequent, intense and long-lasting.
Climate change will be a major challenge for the world’s health systems in the coming decades. Elevated temperatures and increasing frequencies of heat waves, wildfires, heavy precipitation and other weather extremes can affect health in many ways, especially if chronic diseases are already present. Impaired responses to heat stress, including compromised vasodilation and sweating, diabetes-related comorbidities, insulin resistance and chronic low-grade inflammation make people with diabetes particularly vulnerable to environmental risk factors, such as extreme weather events and air pollution. Additionally, multiple pathogens show an increased rate of transmission under conditions of climate change and people with diabetes have an altered immune system, which increases the risk for a worse course of infectious diseases. In this review, we summarise recent studies on the impact of climate-change-associated risk for people with diabetes and discuss which individuals may be specifically prone to these risk conditions due to their clinical features. Knowledge of such high-risk groups will help to develop and implement tailored prevention and management strategies to mitigate the detrimental effect of climate change on the health of people with diabetes.
In recent decades, the presence of flaviviruses of concern for human health in Europe has drastically increased,exacerbated by the effects of climate change – which has allowed the vectors of these viruses to expand into new territories. Co-circulation of West Nile virus (WNV), Usutu virus (USUV), and tick-borne encephalitis virus (TBEV) represents a threat to the European continent, and this is further complicated by the difficulty of obtaining an early and discriminating diagnosis of infection. Moreover, the possibility of introducing non-endemic pathogens, such as Japanese encephalitis virus (JEV), further complicates accurate diagnosis. Current flavivirus diagnosis is based mainly on RT-PCR and detection of virus-specific antibodies. Yet, both techniques suffer from limitations, and the development of new assays that can provide an early, rapid, low-cost, and discriminating diagnosis of viral infection is warranted. In the pursuit of ideal diagnostic assays, flavivirus non-structural protein 1 (NS1) serves as an excellent target for developing diagnostic assays based on both the antigen itself and the antibodies produced against it. This review describes the potential of such NS1-based diagnostic methods, focusing on the application of flaviviruses that co-circulate in Europe.
Introduction: Climate change and hot processes in the workplaces has led to an increase in the effects of heat stress on employed people, which has become a major concern, especially in tropical and subtropical countries. Early detection of biomarkers in induction of heat stress-related DNA damage can be used in the identification and evaluation of health and safety, including occupational health professionals, as well as to prevent serious diseases caused by heat stress in various occupations with the nature of hot processes or to help different warm seasons of the year. Therefore, this review study was conducted to identify diagnostic biomarkers heat stress induced- DNA damage in occupational exposure. Material and Methods: Databases such as PubMed, Scopus, Google Scholar, and Web of Science were systematically searched to meet the study’s goals. Moreover, references to relevant publications were examined. Finally, suitable articles were selected and analyzed using the inclusion (studies on different occupations, different biomarkers in hot work environments, all articles published without time limit until the end of April 2022 , and English and Persian language) and exclusion criteria.Results: The results of search in databases showed that 9234 articles were found in the initial search. After removing duplicate and unrelated articles, 2209 eligible articles were selected. Based on abstract full-text screening, 7166 studies were excluded, and based on abstract full-text screening, 21 studies were not accessible. Finally, seven articles were selected to be reviewed. The evidence showed that diagnostic biomarkers included the measurement of 8-hydroxy-2-deoxyguanosine (8-OHdG), micronuclei semen quality, heat shock proteins (HSP70), and leukocytes were extracted to heat stress induced- DNA damage in occupational exposure. Conclusion: Based on a review of studies, biomarkers identified are suitable for heat stress induced- DNA damage as a result of occupational exposure to extremely high heat climate conditions. Understanding and identifying appropriate biomarkers in inducing DNA damage can help health and safety professionals determine the amount and magnitude of heat stress responses in occupational exposure to different temperatures and take appropriate measures and interventions to control and reduce the hazard effects of thermal stress. This study can also be considered as a preliminary study for research in the future.
Many survivors of wildfires report elevated levels of psychological distress following the trauma of wildfires. However, there is only limited research on the effects of wildfires on mental health. This study examined differences in anxiety, depression, insomnia, sleep quality, nightmares, and post-traumatic stress disorder (PTSD) symptoms following wildfires in Australia, Canada, and the United States of America (USA). One hundred and twenty-six participants from Australia, Canada, and the USA completed an online survey. The sample included 102 (81%) women, 23 (18.3%) men, and one non-binary (0.8%) individual. Participants were aged between 20 and 92 years (M age = 52 years, SD = 14.4). They completed a demographic questionnaire, the Disturbing Dream and Nightmare Severity Index (DDNSI), Generalized Anxiety Disorder Questionnaire (GAD-7), the Insomnia Severity Index (ISI), Patient Health Questionnaire (PHQ-9), the Pittsburgh Sleep Quality Index (PSQI), and PTSD Checklist (PCL-5). Results showed that participants from the USA scored significantly higher on the GAD-7 (p = 0.009), ISI (p = 0.003), and PCL-5 (p = 0.021) than participants from Australia and Canada. The current findings suggest a need for more international collaboration to reduce the severity of mental health conditions in Australia, Canada, and the USA.
Dengue is the world’s fastest-growing vector borne disease and has significant epidemic potential in suitable climates. Recent disease models incorporating climate change scenarios predict geographic expansion across the globe, including parts of the United States and Europe. It will be increasingly important in the next decade for dermatologists to become familiar with dengue, as it commonly manifests with rashes, which can be used to aid diagnosis. In this review, we discuss dengue for general dermatologists, specifically focusing on its cutaneous manifestations, epidemiology, diagnosis, treatment, and prevention. As dengue continues to spread in both endemic and new locations, dermatologists may have a larger role in the timely diagnosis and management of this disease.
Objective: The purpose of this work is to carry out a descriptive analysis of occupational accidents and to evaluate the relationship between heatwaves and work accidents in Spain’s three most populated provinces: Madrid, Barcelona and Valencia.Methods: Daily data of work accidents (including for each case: gender, age, date, length of time in the position, type of work, place of accident and duration of medical leave) was collected. A heatwave was defined when daily mean temperatures above the threshold (95th percentile) of the climatological period (1990-2021) were recorded for at least three consecutive days. To estimate the association between daily workplace accidents and heatwave events, we applied a Generalized Additive Model combined with a Distributed Lag Non-linear Model with a quasi-Poisson distribution.Results: The average annual accident rate was 33.2 work accidents/100,000 employees in Madrid, 35.8 work accidents/100,000 employees in Barcelona and 31.8 work accidents/100,000 employees in Valencia. The total accident rates followed a downward trend between 2005 and 2021. The difference in work accident rates between sex decreased over the studied period (p < 0.005). In the first month of work, the highest casualty rate occurs among construction workers in Madrid and Barcelona, and in primary sector workers in Valencia. Work accidents tend to increase during heatwaves. The highest risk was recorded when considering a cumulative lagged effect of 3 days in Madrid and Barcelona and 5 days in Valencia.Conclusions: Since work accidents increase during heatwaves, risk prevention services and public administrations must take special measures to prevent them.
Based upon a ‘human-centred approach’, combinations of existing and new methodologies were applied to determine how Ankara’s morphological characteristics influenced the magnitude/frequency of Cold Stress (CS) and Heat Stress (HS) to detect/quantify seasonal and yearly human thermal stress frequency. To quantify these conditions upon the human biometeorological system, the Physiologically Equivalent Temperature (PET) was utilised by processing climatic variables from Ankara’s Meteorological Station (AMS). In situ assessments of human thermophysiological thresholds were undertaken within characteristic existing/future Urban Canyon Cases (UCCs), with a further stipulation of three interior Reference Points (RPs). Indoor PET values were moreover calculated within a stereotypical vulnerable residential dwelling. Seasonal frequencies revealed that winter PET values frequently ranged between 0.0 and – 19.9 degrees C, with corresponding summer values frequently ranging between 35.1 and 46.0 degrees C. Accounting for Ankara’s urban morphology, yearly frequency of No Thermal Stress remained at similar to 48%, CS remained at similar to 26%, and HS similar to 28%. HS varied the most between the eight evaluated Aspect Ratios (ARs). It reduced by up to 7.1% (114 min) within the Centre (RPC) area of UCCs with an orientation of 90 degrees. Out of twelve orientations, the highest HS frequency took place between 105 and 135 degrees Including in UCC3.50, the frequency of HS almost always remained above 72% (2592 min).
Harmful algal blooms events have been reported worldwide and during the last decades are occurred with increasing frequency and intensity due to the climate change and the high inputs of nutrients in freshwaters from anthropogenic activities. During blooms cyanobacteria release in water their toxic secondary metabolites, known as cyanotoxins, along with other bioactive metabolites. Due to the negative impacts of these compounds on aquatic ecosystems and public health, there is an urgent need to detect and identify known and unknown cyanobacterial metabolites in surface waters. In the frame of the present study, a method based on liquid chromatography – high resolution mass spectrometry (LC-HRMS) was developed to investigate the presence of cyanometabolites in bloom samples from Lake Karaoun, Lebanon. Data analysis was performed using Compound Discoverer software with related tools and databases in combination to the CyanoMetDB mass list for detection, identification and structural elucidation of the cyanobacterial metabolites. In the course of this study, 92 cyanometabolites were annotated including 51 cyanotoxins belonging to microcystins, 15 microginins, 10 aeruginosins, 6 cyclamides, 5 anabaenopeptins, a cyanopeptolin, the dipeptides radiosumin B and dehydroradiosumin, the planktoncyclin and a mycosporine-like amino acid. Out of them, 7 new cyanobacterial metabolites, the chlorinated MC-ClYR, [epoxyAdda(5)]MC-YR, MC-LI, aeruginosin 638, aeruginosin 588, microginin 755C and microginin 727 were discovered. Moreover, the presence of anthropogenic contaminants was recorded indicating the pollution of the lake and emphasizing the need for assessment of the co-occurrence of cyanotoxins, other cyanobacterial metabolites and other compounds hazardous to the environment. Overall, results prove the suitability of the proposed approach for the detection of cyanobacterial metabolites in environmental samples but also highlight the necessity of spectral libraries for these compounds, considering the absence of their reference standards.
Nurses are in a unique position to achieve the Sustainable Development Goals, and to prevent and intervene in climate change. Determining nursing students’ levels of attitudes and knowledge on this subject is important in determining the content of nursing education programs. To determine the nursing students’ attitudes towards sustainable development and their knowledge of climate change, and to identify determinants associated with these parameters. A descriptive and correlational design was used. SETTINGS: National Student Nurses’ Association in Turkey. The sample of study consisted of 481 nursing students who were members of the National Student Nurses’ Association. Data were collected online with the descriptive characteristics’ questionnaire, the Attitudes Towards Sustainable Development Scale, and the Climate Change Knowledge Test. We used Mann-Whitney U test, Kruskal-Wallis test, and Spearman correlation analysis to analyze the data obtained from the scales. The participants’ mean sustainable development attitude score was 82.61 ± 12.69 and mean climate change knowledge score was 6.47 ± 1.44. There was a relationship between the sustainable development attitude and the variables such as gender, grade, warning people around them to be sensitive about environmental pollution, following the news about environmental problems, taking precautions about sustainable development and climate change in daily life, and receiving education about sustainable development and climate change in the nursing education. There was a relationship between climate change knowledge and the variables such as gender, grade, membership in an environmental organization, method of keeping up with environmental issues, and receiving education on sustainable development and climate change in nursing education. Although the students displayed favorable attitudes towards sustainable development at a good level, their knowledge of climate change was not adequate. Thus, we recommend that sustainable development and climate change issues should be integrated into nursing education curricula to improve students’ attitudes towards and knowledge and awareness of sustainable development and climate change.
Heatwaves are a significant and growing threat to the health and well-being of the residents of Queensland, Australia. This threat is increasing due to climate change. Excess heat increases the demand for health services, including ambulance calls, and the purpose of this study was to explore this impact across Queensland. A state-wide retrospective analysis of heatwaves and emergency ‘Triple Zero’ (000) calls to Queensland Ambulance (QAS) from 2010-2019 was undertaken. Call data from the QAS and heatwave data from the Bureau of Meteorology were analysed using a case-crossover approach at the postcode level. Ambulance calls increased by 12.68% during heatwaves. The effect was greatest during low-severity heatwaves (22.16%), followed by severe (14.32%) and extreme heatwaves (1.16%). The impact varied by rurality, with those living in very remote areas and major cities most impacted, along with those of low and middle socioeconomic status during low and severe intensity heat events. Lag effects post-heatwave continued for at least 10 days. Heatwaves significantly increase ambulance call centre workload, so ambulance services must actively prepare resources and personnel to address increases in heatwave frequency, duration, and severity. Communities must be informed of the risks of heatwaves at all severities, particularly low severity, and the sustained risks in the days following a heat event.
Human brucellosis (HB) is a seasonal and climate-affected infectious disease that is posing an increasing threat to public health and economy. However, most of the research on the seasonal relationships and impact of climatic factors on HB did not consider the secular trend and spatiotemporal effect related to the disease. We herein utilized long-term surveillance data on HB from 2008 to 2020 using sinusoidal models to explore detrended relationships between climatic factors and HB. In addition, we assessed the impact of such climatic factors on HB using a spatial panel data model combined with the spatiotemporal effect. HB peaked around mid-May. HB was significantly correlated with climatic factors with 1-5-month lag when the respective correlations reached the maximum across the different lag periods. Each 0.1 °C increase in temperature led to 0.5% decrease in the 5-month lag incidence of HB. We also observed a positive spatiotemporal effect on the disease. Our study provides a detailed and in-depth overview of seasonal relationships and impact of climatic factors on HB. In addition, it proposes a novel approach for exploring the seasonal relationships and quantifying the impacts of climatic factors on various infectious diseases.
To develop a Climate Change Inequality Health Impact Assessment (CCIHIA) framework for health services; to provide a systematic process for assessing potential unequal health impacts of climate change on vulnerable and marginalised populations and places; to support effective planning to address these impacts; and to develop contextually appropriate local strategies. Type of program: A collaborative interdisciplinary scoping research project involving two universities and two local health districts (LHDs) in New South Wales (NSW) to develop a CCIHIA framework. This work builds upon the health impact assessment (HIA) approach, which systematically assesses proposals’ potential health and equity impacts by involving stakeholders in developing responses. The project involved four main activities: understanding stakeholder requirements; conceptualising climate change vulnerability; considering the role of health services; and integrating findings into a conceptual framework. Stakeholders identified key functions that should be addressed across the framing, process and utility of the CCIHIA framework. The resulting conceptual framework outlines contexts and social stratification, the differential impacts of climate change (including factors influencing unequal impacts) and the health system’s position, and also identifies key potential points of intervention. The challenge of addressing the complexity of factors and resulting health impacts is reflected within the CCIHIA framework. While there are many intervention points within this framework for health services to address, many factors influencing unequal impacts are created outside the health sector’s direct control. The framework’s development process reflected the focus on collaboration and the interdisciplinary nature of climate change response. Ultimately, the CCIHIA framework is an assessment tool and an approach for prioritising inclusive, cross-cutting, multisector working, and problem-solving.
BACKGROUND: This two-study paper developed a climate change risk perception model that considers the role of posttraumatic growth (i.e., a reappraisal of life priorities and deeper appreciation of life), resource loss, posttraumatic stress, coping, and social support. METHOD: In Study 1, participants were 332 persons in the Philippines who experienced Super Typhoon Haiyan. In Study 2, participants were 709 persons in Fiji who experienced Cyclone Winston. Climate change can increase the size and destructive potential of cyclones and typhoons as a result of warming ocean temperatures, which provides fuel for these storms. Participants completed measures assessing resource loss, posttraumatic stress, coping, social support, posttraumatic growth, and climate change risk perception. RESULTS: Structural equation modeling was used to develop a climate change risk perception model with data collected in the Philippines and to confirm the model with data collected in Fiji. The model showed that climate change risk perception was influenced by resource loss, posttraumatic stress, coping activation, and posttraumatic growth. The model developed in the Philippines was confirmed with data collected in Fiji. CONCLUSIONS: Posttraumatic growth played a central role in climate change risk perception. Public health educational efforts should focus on vividly showing how climate change threatens life priorities and that which gives life meaning and can result in loss, stress, and hardship. Disaster response organizations may also use this approach to promote preparedness for disaster threats.
BACKGROUND: Specialized occupational health and safety (OHS) issues are covered at the EU level through detailed legislation and guidelines. Unfortunately, this does not extend to occupational heat stress, not only in Greece but also (with few exceptions) internationally. One possible explanation could be the difficulty in accurately identifying the dangerous conditions, as many environmental and individualized elements are involved, and hundreds of “thermal stress indicators” are available. Another explanation could be the difficulty in adequately measuring hazardous conditions for workers affected more (i.e., outdoor and high intensity) since the biological protection framework is based on the human body’s internal temperature. METHODS: The Wet Bulb Globe Temperature (WBGT) has been proposed as the most efficacious thermal stress indicator. Since 2021, the Hellenic National Meteorological Service has provided 48-h WBGT forecast predictions to serve as a first level of alert. Real-time measurements and 48-h forecasts of WBGT are also available through a smartphone application. Additionally, as revealed when developing the occupational heat stress legislation in Cyprus and Qatar, crucial first steps are identifying the specific characteristics of worker exposure and the tripartite collaboration between employers, workers, and the State. RESULTS: Evaluating the simplified WBGT forecasted values and the smartphone application estimates proved well-established. The sound scientific basis can be effectively combined with administrative measures based on the EU OHS legislative experience to produce practical solutions. CONCLUSIONS: As the climate crisis exacerbates, worker productivity and well-being will decline, underscoring the urgent need for an integrated protection framework. Such a framework is proposed here.
Climate justice and health education can address the disproportionate health impacts of climate change on minoritized communities by providing frameworks to build awareness and instigate action on climate-related health inequities. The Envisioning Environmental Equity Educator’s Guide to Climate and Health Justice provides a framework for educators, activists and health professionals to lead lessons on health and climate justice that center the experiences of those Most Affected People and Areas (MAPA) by climate change. Collaborators in Brazil, the Philippines, and Uganda engaged in stakeholder meetings to assess priorities and needs about climate and health with policymakers, doctors, activists, and students. These meetings informed the product: An educator’s guide to climate and health justice that explores their dynamics from an anti-racist, anti-colonial approach. The guide serves as a recommended lesson framework fit with concepts, examples, and activities for educators teaching in primary and secondary learning settings. It is an innovative climate and health justice educational resource that draws on principles of anti-colonialism, critical thinking and consciousness, and engaged pedagogy. It offers a strategy for climate justice communication that targets diverse audiences across climate, health and social contexts by promoting educational approaches that center MAPA experiences, fit for diverse audiences.
In recent years, the global food crisis and resulting food insecurity have made sustainable food supply a challenge for many countries, sparking global geopolitical competition. In regard to the geopolitization of food, this study proposes strategies to enhance food security. The model has been developed using grounded theory and data have been collected through interviews with 17 experts and review of 43 official reports and papers. Research findings reveal that food access has declined due to food shortages and unfair distribution in recent decades; as a result, food has become a source of competition and power struggles among countries. Therefore, food has been raised as a geopolitical issue. Changes such as the scarcity of water and soil resources, climate change, environmental degradation, insufficient investment in agriculture, and consumerism in societies have all contributed to the geopolitical importance of food worldwide. A number of strategies have been developed by countries in response to the geopolitization of food to improve their citizens’ food security, including sustainable agriculture development, overseas cultivation, importing virtual water, reducing food waste, and diet modification. The success of these strategies, on the one hand, is influenced by the natural, human, technological, economic, political and military potentials of countries, and on the other hand, the conditions of the global environment. The most important achievements of the principled management of geopoliticization of food include enhancing food security, community health, reducing socio-cultural problems, improving political stability, reducing dependence on foreign countries, and preventing the destruction of natural resources.
High-resolution air temperature data is indispensable for analysing heatwave-related non-accidental mortality. However, the limited number of weather stations in urban areas makes obtaining such data challenging. Multi-source data fusion has been proposed as a countermeasure to tackle such challenges. Satellite products often offered high spatial resolution but suffered from being temporally discontinuous due to weather conditions. The characteristics of the data from reanalysis models were the opposite. However, few studies have explored the fusion of these datasets. This study is the first attempt to integrate satellite and reanalysis datasets by developing a two-step downscaling model to generate hourly air temperature data during heatwaves in London at 1 km resolution. Specifically, MODIS land surface temperature (LST) and other satellite-based local variables, including normalised difference vegetation index (NDVI), normalized difference water index (NDWI), modified normalised difference water index (MNDWI), elevation, surface emissivity, and ERA5-Land hourly air temperature were used. The model employed genetic programming (GP) algorithm to fuse multi-source data and generate statistical models and evaluated using ground measurements from six weather stations. The results showed that our model achieved promising performance with the RMSE of 0.335 ?& DEG;C, R-squared of 0.949, MAE of 1.115 ?, and NSE of 0.924. Elevation was indicated to be the most effective explanatory variable. The developed model provided continuous, hourly 1 km estimations and accurately described the temporal and spatial patterns of air temperature in London. Furthermore, it effectively captured the temporal variation of air temperature in urban areas during heatwaves, providing valuable insights for assessing the impact on human health.
The incidence of vector-borne diseases is rising as deforestation, climate change, and globalization bring humans in contact with arthropods that can transmit pathogens. In particular, incidence of American Cutaneous Leishmaniasis (ACL), a disease caused by parasites transmitted by sandflies, is increasing as previously intact habitats are cleared for agriculture and urban areas, potentially bringing people into contact with vectors and reservoir hosts. Previous evidence has identified dozens of sandfly species that have been infected with and/or transmit Leishmania parasites. However, there is an incomplete understanding of which sandfly species transmit the parasite, complicating efforts to limit disease spread. Here, we apply machine learning models (boosted regression trees) to leverage biological and geographical traits of known sandfly vectors to predict potential vectors. Additionally, we generate trait profiles of confirmed vectors and identify important factors in transmission. Our model performed well with an average out of sample accuracy of 86%. The models predict that synanthropic sandflies living in areas with greater canopy height, less human modification, and within an optimal range of rainfall are more likely to be Leishmania vectors. We also observed that generalist sandflies that are able to inhabit many different ecoregions are more likely to transmit the parasites. Our results suggest that Psychodopygus amazonensis and Nyssomia antunesi are unidentified potential vectors, and should be the focus of sampling and research efforts. Overall, we found that our machine learning approach provides valuable information for Leishmania surveillance and management in an otherwise complex and data sparse system.
1. All nature relies on water, yet climate change threatens water availability to the highest degree- from too much (e.g. extreme weather; flooding) to too little (e.g. droughts; wildfires). These water shifts threaten all life on earth.2. Societies’ safe and reliable water accessibility faces growing uncertainty from climate change; however, water crisis communication may inadvertently remind audiences of their mortality. According to terror management theory, these mortality reminders can hinder pro-environmental efforts in humans and even increase intergroup biases- a significant challenge for developing environmental solutions. While climate change has been examined as a mortality reminder, water remains untested.3. We presented participants with either a mortality -laden message, an aversive but not – life-threatening message, or one of three threatening water-related messages- experiencing drowning, dehydration or contaminated water consumption- to determine if the water-related messages function similarly to the mortality message.4. Some (e.g. drowning; contaminated water), but not all (e.g. dehydration), water messages increased death-thought accessibility, which could lead to paradoxical environmental behaviours, depending on the audience. Our research findings should inform policymakers, non-profit organizations and other water correspondents’ communication strategies.5. As some threatening water messages elicit similar responses to known mortality reminders, the way water crises are framed is important for water-related decision-making and ensuring equitable, successful pro-environmental outcomes.
The effects of climate change, population growth, and future hydrologic uncertainties necessitate increased water conservation, new water resources, and a shift towards sustainable urban water supply portfolios. Diversifying water portfolios with non-traditional water sources can play a key role. Rooftop harvested rainwater (RHRW), atmospheric and condensate harvesting, stormwater, recycled wastewater and greywater, and desalinated seawater and brackish water are all currently utilized and rapidly emerging non-traditional water sources. This review explores the status and trends around these non-traditional water sources, and reviews approaches and models for prioritizing, predicting, and quantifying metrics of concern. The analysis presented here suggests that understanding the challenges of location specific scenarios, socioeconomic knowledge gaps, water supply technologies, and/or water management structure is the crucial first step in establishing a model or framework approach to provide a strategy for improvement going forward. The findings of this study also suggest that clear policy guidance and onsite maintenance is necessary for variable water quality concerns of non-traditional sources like harvested rainwater and greywater. In addition, use of stormwater or reuse of wastewater raises public health concerns due to unknown risks and pathogen levels, thus rapid monitoring technologies and transparent reporting systems can facilitate their adoption. Finally, cost structure of desalination varies significantly around the world, largely due to regulatory requirements and local policies. Further reduction of its capital cost and energy consumption is identified as a hurdle for implementation. Overall, models and process analyses highlight the strength of comparative assessments across scenarios and water supply options.
Climate change is one of several drivers of recurrent outbreaks and geographical range expansion of infectious diseases in Europe. We propose a framework for the co-production of policy-relevant indicators and decision-support tools that track past, present, and future climate-induced disease risks across hazard, exposure, and vulnerability domains at the animal, human, and environmental interface. This entails the co-development of early warning and response systems and tools to assess the costs and benefits of climate change adaptation and mitigation measures across sectors, to increase health system resilience at regional and local levels and reveal novel policy entry points and opportunities. Our approach involves multi-level engagement, innovative methodologies, and novel data streams. We take advantage of intelligence generated locally and empirically to quantify effects in areas experiencing rapid urban transformation and heterogeneous climate-induced disease threats. Our goal is to reduce the knowledge-to-action gap by developing an integrated One Health-Climate Risk framework.
Infectious diseases are a major threat to public health, causing serious medical consumption and casualties. Accurate prediction of infectious diseases incidence is of great significance for public health organizations to prevent the spread of diseases. However, only using historical incidence data for prediction can not get good results. This study analyzes the influence of meteorological factors on the incidence of hepatitis E, which are used to improve the accuracy of incidence prediction. METHODS: We extracted the monthly meteorological data, incidence and cases number of hepatitis E from January 2005 to December 2017 in Shandong province, China. We employ GRA method to analyze the correlation between the incidence and meteorological factors. With these meteorological factors, we achieve a variety of methods for incidence of hepatitis E by LSTM and attention-based LSTM. We selected data from July 2015 to December 2017 to validate the models, and the rest was taken as training set. Three metrics were applied to compare the performance of models, including root mean square error(RMSE), mean absolute percentage error(MAPE) and mean absolute error(MAE). RESULTS: Duration of sunshine and rainfall-related factors(total rainfall, maximum daily rainfall) are more relevant to the incidence of hepatitis E than other factors. Without meteorological factors, we obtained 20.74%, 19.50% for incidence in term of MAPE, by LSTM and A-LSTM, respectively. With meteorological factors, we obtained 14.74%, 12.91%, 13.21%, 16.83% for incidence, in term of MAPE, by LSTM-All, MA-LSTM-All, TA-LSTM-All, BiA-LSTM-All, respectively. The prediction accuracy increased by 7.83%. Without meteorological factors, we achieved 20.41%, 19.39% for cases in term of MAPE, by LSTM and A-LSTM, respectively. With meteorological factors, we achieved 14.20%, 12.49%, 12.72%, 15.73% for cases, in term of MAPE, by LSTM-All, MA-LSTM-All, TA-LSTM-All, BiA-LSTM-All, respectively. The prediction accuracy increased by 7.92%. More detailed results are shown in results section of this paper. CONCLUSIONS: The experiments show that attention-based LSTM is superior to other comparative models. Multivariate attention and temporal attention can greatly improve the prediction performance of the models. Among them, when all meteorological factors are used, multivariate attention performance is better. This study can provide reference for the prediction of other infectious diseases.
Events of high dust loading are extreme meteorological phenomena with important climate and health implications. Therefore, early forecasting is critical for mitigating their adverse effects. Dust modeling is a long-standing challenge due to the multiscale nature of the governing meteorological dynamics and the complex coupling between atmospheric particles and the underlying atmospheric flow patterns. While physics-based numerical modeling is commonly being used, we propose a meteorological-based deep multi-task learning approach for forecasting dust events. Our approach consists of forecasting the local PM10 (primary task) measured in situ, and simultaneously to predict the satellite-based regional PM10 (auxiliary task); thus, leveraging valuable information from a correlated task. We use 18 years of regional meteorological data to train a neural forecast model for dust events in Israel. Twenty-four hours before the dust event, the model can detect 76% of the events with even higher predictability of winter and spring events. Further analysis shows that local dynamics drive most misclassified events, meaning that the coherent driving meteorology in the region holds a predictive skill. Further, we use machine-learning interpretability methods to reveal the meteorological patterns the model has learned, thus highlighting the important features that govern dust events in the Middle East, being primarily lower-tropospheric winds, and Aerosol Optical Depth.
A major trade-off of land-use change is the potential for increased risk of infectious diseases, a.o. through impacting disease vector life-cycles. Evaluating the public health implications of land-use conversions requires spatially detailed modelling linking land-use to vector ecology. Here, we estimate the impact of deforestation for oil palm cultivation on the number of life-cycle completions of Aedes albopictus via its impact on local microclimates. We apply a recently developed mechanistic phenology model to a fine-scaled (50-m resolution) microclimate dataset that includes daily temperature, rainfall and evaporation. Results of this combined model indicate that the conversion from lowland rainforest to plantations increases suitability for A. albopictus development by 10.8%, moderated to 4.7% with oil palm growth to maturity. Deforestation followed by typical plantation planting-maturation-clearance-replanting cycles is predicted to create pulses of high development suitability. Our results highlight the need to explore sustainable land-use scenarios that resolve conflicts between agricultural and human health objectives.
Climate change is real and we are witnessing its consequences, such as rising temperatures, water scarcity, and sea-level rise, among other significant impacts. As healthcare professionals, podiatrists should be concerned about climate change; however, they still contribute to the damage caused. Therefore, the aim of this study was to assess the level of awareness among podiatrists regarding this issue and determine their attitudes toward the climate change process. The study involved conducting a survey comprising a series of questions, including personal information, Likert-scale questions, and short questions to evaluate attitudes toward environmental sustainability in their workplace and how they contribute to the climate change process. The questions addressed their commuting habits to determine sustainability, the number of hours of physical exercise per week, and their clinical attitudes, such as prescribing unnecessary treatments or emphasizing sports as the primary treatment. The results revealed that nearly 89% of the respondents were unaware of ecological podiatry or shoe recycling. Regarding clinical attitudes, 31.1% of the respondents stated that they prescribe sports as the primary treatment for all their patients, while 37.9% do so in most cases. They also tend to avoid prescribing unnecessary treatments, with 44.9% stating that they never prescribe them unless absolutely necessary. In conclusion, based on this survey, Spanish podiatrists do not undertake favorable actions for climate change and lack knowledge of the concept of “ecological podiatry”. To improve the situation, efforts should focus on waste reduction, eliminating unnecessary treatments, and promoting and practicing ecological podiatry.
NEW FINDINGS: What is the central question of this study? What are the independent effects of air temperature and humidity on performance, physiological and perceptual responses during endurance exercise? What is the main finding and its importance? When examined independently, elevated air temperature increased heat strain and impaired aerobic exercise performance, but to a lesser extent than has been reported previously. These findings highlight the importance of absolute humidity relative to temperature when exercising or working under severe heat stress. ABSTRACT: Many studies have reported that ambient heat stress increases physiological and perceptual strain and impairs endurance exercise, but effects of air temperature per se remain almost unexamined. Most studies have used matched relative humidity, thereby exponentially increasing absolute humidity (water content in air) concurrently with temperature. Absolute (not relative) humidity governs evaporative rate and is more important at higher work rates and air temperatures. Therefore, we examined the independent effects of air temperature and humidity on performance, thermal, cardiovascular and perceptual measures during endurance exercise. Utilizing a crossover design, 14 trained participants (7 females) completed 45 min fixed-intensity cycling (70% V̇O2peak ) followed by a 20-km time trial in each of four environments: three air temperatures at matched absolute humidity (Cool, 18°C; Moderate, 27°C; and Hot, 36°C; at 1.96 kPa, air velocity ∼4.5 m/s), and one at elevated humidity (Hot Humid, 36°C at 3.92 kPa). Warmer air caused warmer skin (0.5°C/°C; P < 0.001), higher heart rate (1 bpm/°C; P < 0.001), sweat rate (0.04 l/h/°C; P < 0.001) and thermal perceptions during fixed-intensity exercise, but minimally affected core temperature (<0.01°C/°C; P = 0.053). Time-trial performance was comparable between Cool and Moderate (95% CI: -1.4, 5.9%; P = 0.263), but 3.6-6% slower in Hot (95% CI: ±2.4%; P ≤ 0.006). Elevated humidity increased core temperature (P < 0.001), perceived temperature and discomfort but not skin temperature or heart rate, and reduced mean blood pressure (P = 0.046) during fixed-intensity exercise. Elevated humidity impaired time-trial performance by 3.4% (95% CI: ±2.2%; P = 0.006). In conclusion, these findings quantify the importance of absolute humidity alongside air temperature when exercising under severe heat stress.
Lyme borreliosis, the most common vector-borne disease in Europe and North America, is attracting growing concern due to its expanding geographic range. The growth in incidence and geographic spread is largely attributed to climate and land-use changes that support the tick vector and thereby increase disease risk. Despite a wide range of symptoms displayed by Lyme borreliosis patients, the demographic patterns in clinical manifestations and seasonal case timing have not been thoroughly investigated and may result from differences in exposure, immunity and pathogenesis. We analysed 25 years of surveillance data from Norway, supplemented by population demography data, using a Bayesian modelling framework. The analyses aimed to detect differences in case seasonality and clinical manifestations of Lyme borreliosis across age and sex differentiated patient groups. The results showed a bimodal pattern of incidence over age, where children (0-9 years) had the highest incidence, young adults (20-29 years) had low incidence and older adults had a second incidence peak in the ages 70-79 years. Youth (0-19 years) presented with a higher proportion of neuroborreliosis cases and a lower proportion of arthritic manifestations compared to adults (20+ years). Adult males had a higher overall incidence than adult females and a higher proportion of arthritis cases. The seasonal timing of Lyme borreliosis consistently occurred around 4.4 weeks earlier in youth compared to adults, regardless of clinical manifestation. All demographic groups exhibited a shift towards an earlier seasonal timing over the 25-year study period, which appeared unrelated to changes in population demographics. However, the disproportionate incidence of Lyme borreliosis in seniors requires increased public awareness and knowledge about this high-risk group as the population continues to age concurrently with disease emergence. Our findings highlight the importance of considering patient demographics when analysing the emergence and seasonal patterns of vector-borne diseases using long-term surveillance data.
High ambient temperatures are associated with many health effects, including premature mortality. The combination of global warming due to climate change and the expansion of the global built environment mean that the intensification of urban heat islands (UHIs) is expected, accompanied by adverse effects on population health. Urban green infrastructure can reduce local temperatures. We aimed to estimate the mortality burden that could be attributed to UHIs and the mortality burden that would be prevented by increasing urban tree coverage in 93 European cities. METHODS: We did a quantitative health impact assessment for summer (June 1-Aug 31), 2015, of the effect of UHIs on all-cause mortality for adults aged 20 years or older in 93 European cities. We also estimated the temperature reductions that would result from increasing tree coverage to 30% for each city and estimated the number of deaths that could be potentially prevented as a result. We did all analyses at a high-resolution grid-cell level (250 × 250 m). We propagated uncertainties in input analyses by using Monte Carlo simulations to obtain point estimates and 95% CIs. We also did sensitivity analyses to test the robustness of our estimates. FINDINGS: The population-weighted mean city temperature increase due to UHI effects was 1·5°C (SD 0·5; range 0·5-3·0). Overall, 6700 (95% CI 5254-8162) premature deaths could be attributable to the effects of UHIs (corresponding to around 4·33% [95% CI 3·37-5·28] of all summer deaths). We estimated that increasing tree coverage to 30% would cool cities by a mean of 0·4°C (SD 0·2; range 0·0-1·3). We also estimated that 2644 (95% CI 2444-2824) premature deaths could be prevented by increasing city tree coverage to 30%, corresponding to 1·84% (1·69-1·97) of all summer deaths. INTERPRETATION: Our results showed the deleterious effects of UHIs on mortality and highlighted the health benefits of increasing tree coverage to cool urban environments, which would also result in more sustainable and climate-resilient cities. FUNDING: GoGreenRoutes, Spanish Ministry of Science and Innovation, Institute for Global Health, UK Medical Research Council, European Union’s Horizon 2020 Project Exhaustion.
The climate crisis is upon us, already exacting a health cost, with likely acceleration over our lifetimes. Our existing medical curricula do not adequately prepare medical students to deal with climate health nor to be leaders in the public health sphere. Current faculty have themselves not often been exposed to climate health training nor often to leadership training. This affords a unique opportunity for creative implementation of strategies to educate both faculty and students on how leadership skill building can complement the science and policy of climate health.
BACKGROUND: Japan is located on the Pacific Ring of Fire and experiences frequent earthquakes. In addition, as the climate is changing due to global warming, heavy rains have caused frequent floods recently. Following the occurrence of disasters, citizens often experience confusion regarding access to healthcare services. Moreover, health professionals often face uncertainty regarding the availability of medical services in their local area. The Tokyo Kita city Pharmacist Association (KPA) independently developed the pharmacist safety confirmation (PSC) and pharmacy status confirmation (PSTC) systems to provide information regarding pharmaceutical resources during a disaster. These systems are very useful; however, they only provide information about pharmacies. Using this system as a base, a regional medical resource (RMR) map was created in cooperation with the Medical Association and Dental Association to provide useful medical resource information for clinicians and citizens during a disaster. OBJECTIVES: The study aimed to assess the effectiveness and reliability of the RMR map. METHODS: The PSC and PSTC systems were originally invented by the KPA. The systems were employed in the event of actual earthquakes and flood damages and have produced positive results. An RMR map was created as a new resource map system by updating the software and platform of PSC and PSTC, and its reliability and efficacy were verified using drills. Drills were conducted seven times from 2018 to 2021. RESULTS: Out of the 527 member facilities, 450 were registered. The response rate ranged from 49.4% to 73.8% and the system successfully created useful maps. CONCLUSION: This is the first report on the creation of an effective RMR map that can be used for helping people during disasters in Japan.
Global change is expected to have complex effects on the distribution and transmission patterns of zoonotic parasites. Modelling habitat suitability for parasites with complex life cycles is essential to further our understanding of how disease systems respond to environmental changes, and to make spatial predictions of their future distributions. However, the limited availability of high quality occurrence data with high spatial resolution often constrains these investigations. Using 449 reliable occurrence records for Echinococcus multilocularis from across Europe published over the last 35 years, we modelled habitat suitability for this parasite, the aetiological agent of alveolar echinococcosis, in order to describe its environmental niche, predict its current and future distribution under three global change scenarios, and quantify the probability of occurrence for each European country. Using a machine learning approach, we developed large-scale (25 × 25 km) species distribution models based on seven sets of predictors, each set representing a distinct biological hypothesis supported by current knowledge of the autecology of the parasite. The best-supported hypothesis included climatic, orographic and land-use/land-cover variables such as the temperature of the coldest quarter, forest cover, urban cover and the precipitation seasonality. Future projections suggested the appearance of highly suitable areas for E. multilocularis towards northern latitudes and in the whole Alpine region under all scenarios, while decreases in habitat suitability were predicted for central Europe. Our spatially explicit predictions of habitat suitability shed light on the complex responses of parasites to ongoing global changes.
The Middle East and North Africa (MENA) is one of the regions that is most vulnerable to the negative effects of climate change, yet the potential public health impacts have been underexplored compared to other regions. We aimed to examine one aspect of these impacts, heat-related mortality, by quantifying the current and future burden in the MENA region and identifying the most vulnerable countries. METHODS: We did a health impact assessment using an ensemble of bias-adjusted statistically downscaled Coupled Model Intercomparison Project phase 6 (CMIP6) data based on four Shared Socioeconomic Pathway (SSP) scenarios (SSP1-2·6 [consistent with a 2°C global warming scenario], SSP2-4·5 [medium pathway scenario], SSP3-7·0 [pessimistic scenario], and SSP5-8·5 [high emissions scenario]) and Bayesian inference methods. Assessments were based on apparent temperature-mortality relationships specific to each climate subregion of MENA based on Koppen-Geiger climate type classification, and unique thresholds were characterised for each 50 km grid cell in the region. Future annual heat-related mortality was estimated for the period 2021-2100. Estimates were also presented with population held constant to quantify the contribution of projected demographic changes to the future heat-mortality burden. FINDINGS: The average annual heat-related death rate across all MENA countries is currently 2·1 per 100 000 people. Under the two high emissions scenarios (SSP3-7·0 and SSP5-8·5), most of the MENA region will have experienced substantial warming by the 2060s. Annual heat-related deaths of 123·4 per 100 000 people are projected for MENA by 2100 under a high emissions scenario (SSP5-8·5), although this rate would be reduced by more than 80% (to 20·3 heat-related deaths per 100 000 people per year) if global warming could be limited to 2°C (ie, under the SSP1-2·6 scenario). Large increases are also expected by 2100 under the SSP3-7·0 scenario (89·8 heat-related deaths per 100 000 people per year) due to the high population growth projected under this pathway. Projections in MENA are far higher than previously observed in other regions, with Iran expected to be the most vulnerable country. INTERPRETATION: Stronger climate change mitigation and adaptation policies are needed to avoid these heat-related mortality impacts. Since much of this increase will be driven by population changes, demographic policies and healthy ageing will also be key to successful adaptation. FUNDING: National Institute for Health Research, EU Horizon 2020.
INTRODUCTION: The costs of global warming are substantial. These include expenses from occupational illnesses and injuries (OIIs), which have been associated with increases during heatwaves. This study estimated retrospective and projected future heatwave-attributable OIIs and their costs in Australia. MATERIALS AND METHODS: Climate and workers’ compensation claims data were extracted from seven Australian capital cities representing OIIs from July 2005 to June 2018. Heatwaves were defined using the Excess Heat Factor. OIIs and associated costs were estimated separately per city and pooled to derive national estimates. Results were projected to 2030 (2016-2045) and 2050 (2036-2065). RESULTS: The risk of OIIs and associated costs increased during heatwaves, with the risk increasing during severe and particularly extreme heatwaves. Of all OIIs, 0.13% (95% empirical confidence interval [eCI]: 0.11-0.16%) were heatwave-attributable, equivalent to 120 (95%eCI:70-181) OIIs annually. 0.25% of costs were heatwave-attributable (95%eCI: 0.18-0.34%), equal to $AU4.3 (95%eCI: 1.4-7.4) million annually. Estimates of heatwave-attributable OIIs by 2050, under Representative Concentration Pathway [RCP]4.5 and RCP8.5, were 0.17% (95%eCI: 0.10-0.27%) and 0.23% (95%eCI: 0.13-0.37%), respectively. National costs estimates for 2030 under RCP4.5 and RCP8.5 were 0.13% (95%eCI: 0.27-0.46%) and 0.04% (95%eCI: 0.66-0.60), respectively. These estimates for extreme heatwaves were 0.04% (95%eCI: 0.02-0.06%) and 0.04% (95%eCI: 0.01-0.07), respectively. Cost-AFs in 2050 were, under RCP4.5, 0.127% (95%eCI: 0.27-0.46) for all heatwaves and 0.04% (95%eCI: 0.01-0.09%) for extreme heatwaves. Attributable fractions were approximately similar to baseline when assuming theoretical climate adaptation. DISCUSSION: Heatwaves represent notable and preventable portions of preventable OIIs and economic burden. OIIs are likely to increase in the future, and costs during extreme heatwaves in 2030. Workplace and public health policies aimed at heat adaptation can reduce heat-attributable morbidity and costs.
The effects of global warming are not limited to rising global temperatures and have set in motion a complex chain of events contributing to climate change. A consequence of global warming and the resultant climate change is the rise in cyanobacterial harmful algal blooms (cyano-HABs) across the world, which pose a threat to public health, aquatic biodiversity, and the livelihood of communities that depend on these water systems, such as farmers and fishers. An increase in cyano-HABs and their intensity is associated with an increase in the leakage of cyanotoxins. Microcystins (MCs) are hepatotoxins produced by some cyanobacterial species, and their organ toxicology has been extensively studied. Recent mouse studies suggest that MCs can induce gut resistome changes. Opportunistic pathogens such as Vibrios are abundantly found in the same habitat as phytoplankton, such as cyanobacteria. Further, MCs can complicate human disorders such as heat stress, cardiovascular diseases, type II diabetes, and non-alcoholic fatty liver disease. Firstly, this review describes how climate change mediates the rise in cyanobacterial harmful algal blooms in freshwater, causing increased levels of MCs. In the later sections, we aim to untangle the ways in which MCs can impact various public health concerns, either solely or in combination with other factors resulting from climate change. In conclusion, this review helps researchers understand the multiple challenges brought forth by a changing climate and the complex relationships between microcystin, Vibrios, and various environmental factors and their effect on human health and disease.
Groundwater is a significant source of water across the world and constitutes about 30% of the earth’s freshwater. This water source is likely to be contaminated by cyanobacteria that produce secondary metabolites called cyanotoxins. Studies on contamination of groundwater by cyanobacteria have been sketchy with limited information. There is a need for better evidence regarding groundwater contamination by cyanobacteria as their presence in surface water bodies could cause contamination of groundwater via infiltration and percolation during rainfall events or during groundwater-surface water interaction, bank infiltration or water quality exchange. Therefore, this review is aimed at exploring the occurrences and potential sources of cyanotoxins in groundwater. This was achieved by summarising the existing data on the occurrence of cyanobacteria in groundwater and their potential sources across the world. Groundwater cyanobacteria contamination can possibly pose threat to water quality because many of the cyanotoxins produced by cyanobacteria pose a severe threat to human health, animals and the environment. Concentrations of microcystins (MCs) in groundwater have been recorded in China (Chaohu), Saudi Arabia, and China (Huai River Basin), with concentrations of 1.446 μg/L, 1.8 μg/L and 1.07 μg/L, respectively. In humans, exposure to these cyanotoxins can cause symptoms such as vomiting, diarrhea, and skin irritation, to mention a few. This work highlights the importance of providing information or knowledge regarding public health implications of exposure to groundwater contaminated with cyanotoxins and the need to undertake risk management actions through national and international regulation. This review also points out current knowledge gaps, which could lead to future research.
Cyanobacterial harmful algal blooms (CHABs) are a global environmental concern that encompasses public health issues, water availability, and water quality owing to the production of various secondary metabolites (SMs), including cyanotoxins in freshwater, brackish water, and marine ecosystems. The frequency, extent, magnitude, and duration of CHABs are increasing globally. Cyanobacterial species traits and changing environmental conditions, including anthropogenic pressure, eutrophication, and global climate change, together allow cyanobacteria to thrive. The cyanotoxins include a diverse range of low molecular weight compounds with varying biochemical properties and modes of action. With the application of modern molecular biology techniques, many important aspects of cyanobacteria are being elucidated, including aspects of their diversity, gene-environment interactions, and genes that express cyanotoxins. The toxicological, environmental, and economic impacts of CHABs strongly advocate the need for continuing, extensive efforts to monitor cyanobacterial growth and to understand the mechanisms regulating species composition and cyanotoxin biosynthesis. In this review, we critically examined the genomic organization of some cyanobacterial species that lead to the production of cyanotoxins and their characteristic properties discovered to date.
Extreme climate events threaten human health, economic development, and ecosystems. Many studies have been conducted on extreme precipitation and temperature changes in the Yarlung Zangbo River Basin (YZRB). However, little attention has been paid to compound climate extremes. In this study, the variations of wet/warm compound extreme events in summer and dry/cold compound extreme events in winter over the past 42 years in the YZRB were investigated using eight extreme climate indices that were estimated using monthly temperature and precipitation observations. The results showed that the numbers of frost days and ice days tended to decrease on the spatiotemporal scale, while the maximum values of daily maximum temperature and daily minimum temperature exhibited increasing trends. The frequency of wet/warm compound extreme events was significantly higher from 1998 to 2018 than from 1977 to 1997. Dry/cold compound extreme events became less frequent from 1998 to 2018 than from 1977 to 1997. The rate of increase of wet/warm compound extreme events was about ten times the absolute rate of decrease of dry/cold compound extreme events. With regard to the spatial pattern, the frequency of wet/warm compound extreme events increased significantly in almost all parts of the YZRB, while that of dry/cold compound extreme events decreased across the basin. This study helps to improve our understanding of the changes in compound precipitation and temperature extremes in the YZRB from a multivariable perspective. (c) 2022 Hohai University. Production and hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http:// creativecommons.org/licenses/by-nc-nd/4.0/).
As the COVID-19 pandemic continues to unfold around the world, the per unit area yield of the world’s three major crops (i.e. maize, rice and wheat) decreased simultaneously for the first time in 20 years, and nearly 2.37 billion people faced food insecurity in 2020. Around 119-124 million people were pushed back into extreme poverty. Drought is one of the natural hazards that mostly affect agricultural production, and 2020 is one of the three warmest years on record. When the pandemic, economic recession and extreme climate change occur simultaneously, food crisis will often be exacerbated. Due to the limited research on the geographic modelling of crops and food security at the country level, we investigated the effects of the COVID-19 pandemic (COVID-19 incidence and mortality rate), economic (GDP and per capita GDP), climate (temperature change and drought), and their compound effects on three crop yields and food security in the world. On the basis of verifying the spatial autocorrelation, we used the global ordinary least squares model to select the explanatory variables. Then, geographically weighted regression (GWR) and multi-scale GWR (MGWR), were utilised to explore spatial non-stationary relationships. Results indicated that the MGWR was more efficient than the traditional GWR. On the whole, per capita GDP was the most important explanatory variable for most countries. However, the direct threats of COVID-19, temperature change and drought on crops and food security were small and localised. This study is the first to utilise advanced spatial methods to analyse the impacts of natural and human disasters on agriculture and food security in various countries, which can serve as a geographical guide for the World Food Organization, other relief agencies and policymakers to conduct food aid, health and medical assistance, financial support, climate change policy formulation, and anti-epidemic policy formulation.
Foodborne diseases are a critical public health problem worldwide and significantly impact human health, economic losses, and social dynamics. Understanding the dynamic relationship between the detection rate of bacterial foodborne diseases and a variety of meteorological factors is crucial for predicting outbreaks of bacterial foodborne diseases. This study analyzed the spatio-temporal patterns of vibriosis in Zhejiang Province from 2014 to 2018 at regional and weekly scales, investigating the dynamic effects of various meteorological factors. Vibriosis had a significant temporal and spatial pattern of aggregation, and a high incidence period occurred in the summer seasons from June to August. The detection rate of Vibrio parahaemolyticus in foodborne diseases was relatively high in the eastern coastal areas and northwestern Zhejiang Plain. Meteorological factors had lagging effects on the detection rate of V. parahaemolyticus (3 weeks for temperature, 8 weeks for relative humidity, 8 weeks for precipitation, and 2 weeks for sunlight hours), and the lag period varied in different spatial agglomeration regions. Therefore, disease control departments should launch vibriosis prevention and response programs that are two to eight weeks in advance of the current climate characteristics at different spatio-temporal clustering regions.
The adverse impacts of extreme heat on human health when a concurrent daytime and nighttime heatwave (CDNHW) occurs are greater than when daytime or nighttime heatwaves occur individually, because of the reduced recovery time from heat exposure. This study projects increases in CDNHW over the whole of East Asia under two Representative Concentration Pathway scenarios (RCP2.6 and RCP8.5) and two Shared Socioeconomic Pathway scenarios (SSP1-2.6 and SSP5-8.5). The daily maximum and minimum temperatures, which are used to define a CDNHW, are calculated of 3-hourly temperatures of 25 km horizontal resolution produced by 12 general circulation model and regional climate model chains participating in the Coordinated Regional Climate Downscaling Experiment East Asia phase 2 project. In Historical simulation (1981-2005), occurrence period and occurrence rate of CDNHW from April to September area-averaged in East Asia are 10.9 days and 0.9%, respectively. In projections for the future (2071-2100), occurrence period and occurrence rate of CDNHW will be 3 weeks and 3.7% (RCP2.6), 2 months and 20.5% (RCP8.5), 2 months and 15.6% (SSP1-2.6), and 3 months and 45.7% (SSP5-8.5). In addition, it is expected that the CDNHW intensity will increase, and the spatial extent of CDNHW will be extended. Although a CDNHW lasting less than 3 days is the most common, the proportion of CDNHWs lasting more than 10 days, compared to the total CDNHW frequency, will increase to 1.2% (RCP2.6), 7.2% (RCP8.5), 6.1% (SSP1-2.6), and 17.3% (SSP5-8.5) from 0.2% (Historical). Both occurrence rate and intensity of CDNHW will increase to a relatively large extent in IndoChina, East and West China, and India. If the current greenhouse gas emissions continue, East Asia will experience unprecedented heat stress because the frequency and intensity of CDNHWs, which rarely occur during present-day, will increase significantly over all regions by the end of the 21st century.
Tropical and potentially fatal malaria is brought on by the parasite Plasmodium spp which spreads through infected female anopheles mosquitoes within the human populations. In Ghana, malaria is endemic and perennial, with distinct seasonal fluctuations in the northern part. Children aged below five years are among the population most vulnerable to malaria in Ghana. This study’s goal is to establish how suspected malaria cases, tested malaria cases, and climatic conditions impact confirmed malaria cases in children under five years in the Sunyani Municipality, Bono Region, Ghana. The dependent variable, monthly number of confirmed cases of malaria in children under five years, was modelled with the independent variables, monthly number of tested cases of malaria in children under five years, mean monthly relative humidity, mean monthly rainfall, and mean monthly temperature, in the Sunyani Municipality. We employed multiple linear regression after data transformation, exploratory data analysis, and correlation analysis. Results show that tested malaria cases and climatic factors significantly influence confirmed malaria cases in children under 5 years. About 41.8% of variations in confirmed malaria cases among children under 5 years is attributed to climatic factors and the number of tested cases. Moreover, results show that increase in tested cases and rainfall leads to more confirmed malaria cases among children under 5 years, while increase in temperature reduces malaria infections. To reduce the incidence of malaria in children under five years, the government and its stakeholders should encourage parent to let their children sleep in treated mosquito nets, distil stagnant waters during raining seasons, spray bushes with antimosquito insecticides, and destroy all breeding grounds of mosquitoes at all times. We proposed that all malaria cases should be laboratory tested and properly confirmed.
OBJECTIVES: Complex challenges such as political instability, climate change and population displacement are increasing threats to national disease control, elimination and eradication programmes. The objective of this study was to determine the burden and risk of conflict-related and climate-related internal displacements and the need for strategies for countries endemic with neglected tropical diseases (NTDs). DESIGN, SETTING AND OUTCOME MEASURES: A cross-sectional ecological study was conducted including countries that are endemic with at least one of five NTDs requiring preventive chemotherapy in the African region. For each country, the number of NTDs, population size and the number and rate per 100 000 of conflict-related and natural disaster-related internal displacements reported in 2021 were classified into high and low categories and used in unison to stratify and map the burden and risk. RESULTS: This analysis identified 45 NTD-endemic countries; 8 countries were co-endemic with 4 or 5 diseases and had populations classified as ‘high’ totalling >619 million people. We found 32 endemic countries had data on internal displacements related to conflict and disasters (n=16), disasters only (n=15) or conflict only (n=1). Six countries had both high conflict-related and disaster-related internal displacement numbers totalling >10.8 million people, and five countries had combined high conflict-related and disaster-related internal displacement rates, ranging from 770.8 to 7088.1 per 100 000 population. Weather-related hazards were the main cause of natural disaster-related displacements, predominately floods. CONCLUSIONS: This paper presents a risk stratified approach to better understand the potential impact of these complex intersecting challenges. We advocate for a ‘call to action’ to encourage national and international stakeholders to further develop, implement and evaluate strategies to better assess NTD endemicity, and deliver interventions, in areas at risk of, or experiencing, conflict and climate disasters, in order to help meet the national targets.
Recent studies show an increase in the frequency of compound extremes in air temperature and precipitation in many parts of the world, especially under dry and hot conditions. Compound extremes have a significant impact on all spheres of human activity, such as health, agriculture, and energy. Features of atmospheric circulation are closely related to the occurrence of anomalies in air temperature and precipitation. The article analyzes the relationship of atmospheric circulation modes with compound extremes that have had the greatest impact on the Atlantic-European region over the territory of Eastern Europe over the past 60 years on extreme air temperature and precipitation. Combinations of extreme temperature and humidity conditions (indices)-cold-dry (CD), cold-wet (CW), warm-dry (WD) and warm-wet (WW)-were used as compound extremes. Indices of compound extremes were calculated according to the E-OBS reanalysis data. Estimates of the relationship between two time series were carried out using standard correlation and composite analyses, as well as cross wavelet analysis. Phase relationships and time intervals for different climatic indices were different. The period of most fluctuations in the indices of compound extremes was from 4 to 12 years and was observed during 1970-2000. The coherent fluctuations in the time series of the WD and WW indices and the North Atlantic oscillation (NAO) index occurred rather in phase, those in the time series of the CD and WD indices and the Arctic oscillation (AO) index occurred in antiphase, and those in the time series of the WD and WW indices and the Scandinavia pattern (SCAND) index occurred in antiphase. Statistically significant increase in the number of warm compound extremes was found for the northern parts of the study region in the winter season with positive NAO and AO phases.
Aim and background This article aims to link early deaths due to diet-related noncommunicable diseases at the global level, low animal food intake, primarily in developing countries, regenerative/organic agriculture, worldwide food security, and global warming mitigation. On statistically modeling Global Burden of Disease (GBD) risk factor and health outcome data, the unexpected finding was that early deaths (death before age 70) per year per 100k population due to noncommunicable diseases (NCDs, such as coronary artery disease, emphysema, liver failure, kidney failure, and cancers) were much higher in cohorts with low consumption of animal-sourced foods (processed meat, red meat, dairy, fish, poultry, eggs, and saturated fats). Relatively low NCD rates are associated with high animal food consumption. This unexpected finding led to exploring the implications of climate change. Methods I critiqued the Intergovernmental Panel on Climate Change’s (IPCC’s) definitions of “sustainability in land management, sustainable intensification (of agriculture), climate-smart agriculture,” and “sustainability-focused socioeconomic pathway 1 (SSP1)”-the most climate-favorable scenario that the IPCC modeled. I modeled doubling the global livestock together with global regenerative/organic agriculture compared with the IPCC’s SSP1, using the IPCC’s mean 2010-2019 global anthropogenic greenhouse gas emissions (GHGs) as the baseline for comparison. Results This study found that all the IPCC’s agricultural land-related definitions of interest were aspirational without detailing the farming methods used and those not allowed. The IPCC’s land management-related definitions differed from the same or similar terms in the literature. The status quo net global agriculture and other land use GHGs (2010-2019) totaled 11.9 ± 4.4 gigatonnes (GT) carbon dioxide equivalent per year (11.9 ± 4.4 GTCO(2)-eq yr(-1)). The IPCC’s modeling of the SSP1 scenario reduced GHGs to 3 GTCO(2)-eq yr(-1) by 2050. Transitioning to global regenerative/organic agriculture (5 billion hectares) and doubling the global livestock for human consumption and agricultural land fertilization corresponded to net global GHGs = -24.1 GTCO(2)-eq yr(-1) for 2-3 decades, totaling -482 to -723 GTCO(2)-eq of CO(2) sequestration. Conclusions Doubling global livestock combined with worldwide regenerative/organic agriculture has the potential to mitigate climate change significantly more than SSP1 while providing global food security by reversing land degradation. Worldwide transitioning from intensive industrial agriculture that degrades land to regenerative/organic agriculture that sequesters CO(2) in soil
Globally, more people die from cardiovascular disease than any other cause. Climate change, through amplified environmental exposures, will promote and contribute to many noncommunicable diseases, including cardiovascular disease. Air pollution, too, is responsible for millions of deaths from cardiovascular disease each year. Although they may appear to be independent, interchangeable relationships and bidirectional cause-and-effect arrows between climate change and air pollution can eventually lead to poor cardiovascular health. In this topical review, we show that climate change and air pollution worsen each other, leading to several ecosystem-mediated effects. We highlight how increases in hot climates as a result of climate change have increased the risk of major air pollution events such as severe wildfires and dust storms. In addition, we show how altered atmospheric chemistry and changing patterns of weather conditions can promote the formation and accumulation of air pollutants: a phenomenon known as the climate penalty. We demonstrate these amplified environmental exposures and their associations to adverse cardiovascular health outcomes. The community of health professionals-and cardiologists, in particular-cannot afford to overlook the risks that climate change and air pollution bring to the public’s health.
Soil moisture reflects the amount of water available to crops in the top layer of soil. As such, considering soil moisture provides important insight into water availability and ultimately crop yields in agricultural settings. In studies of climate change, food security, and health, however, soil moisture is rarely empirically considered despite its connection to crop health and yields. In this project, we aim to advance understanding of climate impacts on food security by incorporating soil moisture into quantitative models of child health. Combining spatially referenced health survey data from the Demographic and Health Surveys for 2005 and 2010 in Senegal and 2007, 2011, and 2014 in Bangladesh, with soil moisture data from the Famine Early Warning System Network Land Data Assimilation System, we explore the linkages between sub-annual and sub-seasonal climate conditions and child malnutrition in two rainfed agriculture dependent countries-Bangladesh and Senegal. Results suggest that soil moisture, measured on very short time scales, may be associated with reductions in anthropometric weight-for-height z-scores, but the relationship is highly dependent upon geographic context.
Global warming causes new challenges for urban citizens and metropolitan governments in adapting to the changing thermal environment. However, fine-scale spatiotemporal mapping of urban thermal environments has been inadequate. Therefore, this study takes a typical highdensity city, Hong Kong, as an example and utilises a machine learning algorithm, the random forest (RF), to carry out 100 m resolution hourly thermal environment mapping, including air temperature (Ta), relative humidity (RH) and the net effective temperature (NET), for the summer season (May to September) of 2008-2018, considering meteorological drivers, topography and local-climate-zone-based landscape drivers. The validation results show that the developed dataset achieves satisfactory accuracy. The mean values of R2, root mean square error (RMSE) and mean absolute error (MAE) for Ta achieve 0.8723, 1.1160 degrees C and 0.8227 degrees C, respectively, while those for RH reach 0.7970, 5.3816% and 3.8641%. In addition, the thermal comfort index, NET, reveals that people in built-up areas feel hotter than measured by Ta during the night due to the urban heat island effect. We believe this newly developed thermal comfort dataset can provide novel, reliable and fine-grained data support for urban climate research areas such as urban heat islands, heat exposure, heat-related health risk assessment, and urban energy consumption estimation.
The creation of standardized, impactful, evidence-based curricula and resources addressing climate change and health issues in schools is seen as vital in combating the impending risks of climate change on human health. A scoping review of the literature was conducted to identify peer-reviewed studies related to climate change and health education in schools and to examine their content focus and evaluation. The search covered five electronic databases and considered English peer-reviewed publications from 2000 to May 2022. Nine studies met the inclusion criteria, representing various countries and employing different study designs. Climate change and health adaptation content dominated the included studies with varying foci, including heatwaves, disaster preparation, flood education, vector-borne diseases, and general climate change and health adaptation. Other studies utilized climate change and health topics to develop skills, employ the use of information and communication technologies within curricula, and highlight the interconnectedness between the environment and health. Although heterogenous in their methodology, the intervention studies and evaluations included (five out of nine) found that interventions impacted knowledge, awareness or perception. Two studies also highlighted the intergenerational learning potential of the interventions. While there is a growing body of research in the field, more research is necessary to measure their effectiveness and thereby develop suitable educational strategies.
BACKGROUND: Effective mass drug administration (MDA) is the cornerstone in the elimination of lymphatic filariasis (LF) and a critical component in combatting all neglected tropical diseases for which preventative chemotherapy is recommended (PC-NTDs). Despite its importance, MDA coverage, however defined, is rarely investigated systematically across time and geography. Most commonly, investigations into coverage react to unsatisfactory outcomes and tend to focus on a single year and health district. Such investigations omit more macro-level influences including sociological, environmental, and programmatic factors. The USAID NTD database contains measures of performance from thousands of district-level LF MDA campaigns across 14 years and 10 West African countries. Specifically, performance was measured as an MDA’s epidemiological coverage, calculated as persons treated divided by persons at risk. This analysis aims to explain MDA coverage across time and geography in West Africa using sociological, environmental, and programmatic factors. METHODOLOGY: The analysis links epidemiological coverage data from 3,880 LF MDAs with contextual, non-NTD data via location (each MDA was specific to a health district) and time (MDA month, year). Contextual data included rainfall, temperature, violence or social unrest, COVID-19, the 2014 Ebola outbreak, road access/isolation, population density, observance of Ramadan, and the number of previously completed MDAs. PRINCIPAL FINDINGS: We fit a hierarchical linear regression model with coverage as the dependent variable and performed sensitivity analyses to confirm the selection of the explanatory factors. Above average rainfall, COVID-19, Ebola, violence and social unrest were all significantly associated with lower coverage. Years of prior experience in a district and above average temperature were significantly associated with higher coverage. CONCLUSIONS/SIGNIFICANCE: These generalized and context-focused findings supplement current literature on coverage dynamics and MDA performance. Findings may be used to quantify typically anecdotal considerations in MDA planning. The model and methodology are offered as a tool for further investigation.
This review systematically gathers and provides an analysis of pollutants levels emitted from wildfire (WF) and their impact on short-term health effects of affected populations. The available literature was searched according to Population, Exposure, Comparator, Outcome, and Study design (PECOS) database defined by the World Health Organization (WHO) and a meta-analysis was conducted whenever possible. Data obtained through PECOS characterized information from the USA, Europe, Australia, and some Asian countries; South American countries were seldom characterized, and no data were available for Africa and Russia. Extremely high levels of pollutants, mostly of fine fraction of particulate matter (PM) and ozone, were associated with intense WF emissions in North America, Oceania, and Asia and reported to exceed several-fold the WHO guidelines. Adverse health outcomes include emergency department visits and hospital admissions for cardiorespiratory diseases as well as mortality. Despite the heterogeneity among exposure and health assessment methods, all-cause mortality, and specific-cause mortality were significantly associated with WF emissions in most of the reports. Globally, a significant association was found for all-cause respiratory outcomes including asthma, but mixed results were noted for cardiovascular-related effects. For the latter, estimates were only significant several days after WF emissions, suggesting a more delayed impact on the heart. Different research gaps are presented, including the need for the application of standardized protocols for assessment of both exposure and adverse health risks. Mitigation actions also need to be strengthened, including dedicated efforts to communicate with the affected populations, to engage them for adoption of protective behaviors and measures.
The connections of climatic variables to zoonotic and wildlife diseases remain uncertain. Here, we compiled a systematic database for the prevalence of 121 pathogenic microbial taxa in birds (ca 376 species) and bats (ca 39 species), including 11 939 observations from over 450 000 individuals across Europe and surrounding regions. We modelled the potential connection of climatic variables with the prevalence of 75 pathogenic microbial taxa at a multi-pathogenic-taxa level and of 17 most-studied pathogenic taxa at a single-pathogenic-taxon level. According to the multi-taxa model, the prevalence of bacterial taxa was positively associated with temperature, while this association was significantly weaker for eukaryotes and viruses. The prevalence of bacterial taxa was negatively associated with rainfall, while viruses showed a positive association with rainfall. These associations between climatic variables and prevalence of pathogenic taxa were not different between bird and bat hosts. According to the single-taxon models, the prevalence of influenza A viruses, Plasmodium, and several bacterial taxa in birds and bats was positively associated with temperature. Rainfall showed positive associations with the prevalence of Usutu, Sindbis and Influenza A viruses but the directions of significant associations varied among bacterial taxa. Strikingly, this was evidenced also between bacterial taxa that share hosts and transmission mechanism hinting towards hitherto unknown features on pathogen ecology, e.g. Salmonella versus Campylobacter and Anaplasma versus Borrelia. Our results suggest that rising temperature and increasing precipitation will accelerate the threat of bird- and bat-associated bacterial and viral pathogens to wildlife, domesticated animals and humans, respectively. However, the idiosyncratic relationships with climatic conditions among pathogenic taxa highlight the need for pathogen-specific predictive models to understand future pathogen distributions.
Emotion-place-disaster research tends to focus more on people and communities than on places and their specificities. Our study aims to explore disparities in people’s place-based emotional experiences in the recovery period in a region of the Philippines affected by Typhoon Haiyan. We used an original data collection game in which respondents were asked to associate pictures of places with emoticons and to explain these associations. A fully integrated mixed data analysis was then used to characterize non-Typhoon and Typhoon-related place-based emotional experiences. The large panel of descriptive results reveals predominantly positive emotional experiences that intertwine tangible and intangible facets of the person-place relationship. A variety of emotions and their meanings, individual and group concerns, and experiences before, during and after the disaster combine to produce contrasting place-based emotional experiences. In particular, the heterogeneity of the material impacts of the Typhoon on places and their implications for disaster recovery are described and discussed. We argue that further developments in the field should take into account the diversity of place-based emotional experiences highlighted in this research, which can improve disaster preparedness and response strategies and play an important role in disaster recovery.
Irrigation and urban greening can mitigate extreme temperatures and reduce adverse health impacts from heat. However, some recent studies suggest these interventions could actually exacerbate heat stress by increasing humidity. These studies use different heat stress indices (HSIs), hindering intercomparisons of the relative roles of temperature and humidity. Our method uses calculus of variations to compare the sensitivity of HSIs to temperature and humidity, independent of HSI units. We explain the properties of different HSIs and identify conditions under which they disagree. We highlight recent studies where the use of different HSIs could have led to opposite conclusions. Our findings have significant implications for the evaluation of irrigation and urban greening as adaptive responses to overheating and climate adaptation measures in general. We urge researchers to be critical in their choice of HSIs, especially in relation to health outcomes; our method provides a useful tool for making informed comparisons.
BACKGROUND: The German status report on climate change and health 2023 identifies numerous health risks that are caused or exacerbated by climate change. One recommendation arising from the report is to strengthen education, information, and communication in the field. This article aims to serve as a basis for this. METHODS: Based on four survey waves (2022/2023) of the PACE study (Planetary Health Action Survey, n=3,845, online), the status of risk perception as well as the Readiness to Act against climate change in the adult population in Germany is examined and a target group analysis is carried out. RESULTS: Some health risks due to the climate crisis are perceived as comparatively low (e.g. mental health problems). People with higher risk perception show a higher Readiness to Act. Younger people, men, people with low education, and those living in smaller communities are identified as relevant target groups as they have a lower Readiness to Act. One third state that they never or hardly ever seek out specific information on climate change. Media use differs depending on target group. CONCLUSIONS: Target group-specific communication can help to educate people about the health impacts of the climate crisis. In the discussion of this article, implications from existing literature are discussed in detail, which offer practical guidance for effective climate change communication.
The Community Intervention and Empowerment Assessment Model (MAIEC) offers a framework for community empowerment in several fields such as Climate Change (CC), the largest health emergency crisis globally, through diagnosis and interventions in Community Health Nursing. This study aims to assess the level of community empowerment in climate change mitigation and adaptation, and to identify nursing diagnosis through the MAIEC clinical decision matrix, within a local intermunicipal association in the northern region of the Portuguese Atlantic Coast. A convergent mixed-methods design was used, applying a focus group technique to a purposive sampling of ten key stakeholders of this community. A Portuguese version of the Empowerment Assessment Rating Scale and a questionnaire were both applied to the same participants, and qualitative and quantitative data generated were analysed using a content analysis technique and an Excel database sheet created using Microsoft Office 365. The analysis of the Portuguese northern community exposed: a low level of community empowerment for mitigation and adaptation to climate change; a nursing diagnosis of community management impairments in several dimensions, such as community process, community participation and community leadership. However, the study confirmed that MAIEC contributed to future community-based solutions, responding to the challenges of climate change, and enabling the planning of interventions to address MAIEC diagnoses in the form of CC-specific training and recommendations for new cooperation approaches from all stakeholders. This study was not registered.
Purpose: Community gardens are increasingly used as interventions during the resettlement of refugees and other migrants. Little is known about how garden programs might support their mental health and wellbeing. Given the links between climate change and forced migration, community gardens are especially relevant, as they can also support climate change mitigation. This study aims to document psychosocial outcomes of gardening programs for refugees and migrants, and mechanisms leading to these outcomes.Design/methodology/approach The authors searched major databases and the grey literature up to 2021, resulting in the inclusion of 17 peer-reviewed and 4 grey literature articles in a thematic, qualitative analysis.Findings Four consistent themes arose from the analysis: community gardening programs promoted continuity and adaptation (81% of articles), social connectedness (81%), overall wellbeing (95%) and a sense of meaning and self-worth (67%). The results suggest that community gardens can strengthen psychosocial pillars that are key to the recovery and resettlement of refugees and migrants. The land-based and social nature of community gardening may enable connections to the land and others, nurture a sense of belonging in the host country and provide a link to the past for those from agricultural backgrounds.Research limitations/implicationsFurther participatory action research is needed to develop guidelines for the successful implementation of community gardens by resettlement organisations.Originality/value This review indicates that community gardens can be effective psychosocial interventions as part of a network of services supporting the resettlement of refugees and migrants.
It is necessary to consider the phenomenon of urbanism in the global context. The exponential growth of urban population accounts for an increase in the emission of greenhouse gases. Land use changes and greenhouse gas emissions lead to changes that are inextricably linked with the local environment and regional climate. Urban climate change risks have also escalated due to increased extreme weather events induced by climate change and rise in the number of residents living in climate-sensitive areas. This study aimed to understand community perception about climate change and extreme heat influences on health. It was conducted in the Kolkata Metropolitan Region through a comprehensive interview of 56 participants by using purposive sampling methods. The information was obtained through in-depth interviews and focus group discussions. The data was analyzed using the narrative analysis method based on the transcribed notes. The collected information was made into a summary and then categorized with the chronology. Information was presented in the subsections of urban expansion influence on the regional climate, contributory factors of climate change, and climate change or extreme heat influences on health. Summaries of results are restoried into the narrative chronology. Study findings show that older adults and marginalized and low-income communities are more vulnerable to climate change-related health problems. Respondents also reported that climate change takes catastrophic forms resulting in increased hospital admissions due to heat-related illness in the summer season. Major health problems consist of illness, eye irritation, heat stroke, red, and warm skin, dizziness, headache, and muscle pain. The central and state governments have developed a framework of health action plan keeping in mind the climate change-related health issues. Public health professionals and policymakers must be aware of the magnitude of specific health concerns of citizens and the need for urgent action.
In America, the presence of Rhipicephalus sanguineus sensu stricto and Rhipicephalus linnaei has been confirmed. Both species are found in sympatry in the southern United States, northern Mexico, southern Brazil, and Argentina. The objective of this work is to evaluate the projection of the potential distribution of the ecological niche of Rhipicephalus sanguineus sensu lato in two climate change scenarios in Mexico and the border with Central America and the United States. Initially, a database of personal collections of the authors, GBIF, Institute of Epidemiological Diagnosis and Reference, and scientific articles was built. The ENMs were projected for the current period and two future scenarios: RCP and SSP used for the kuenm R package, the ecological niche of R. sanguineus s.l. It is distributed throughout the Mexico and Texas (United States), along with the border areas between Central America, Mexico, and the United States. Finally, it is observed that the ecological niche of R. sanguineus s.l. in the current period coincides in three degrees with the routes of human migration. Based on this information, and mainly on the flow of migrants from Central America to the United States, the risk of a greater gene flow in this area increases, so the risk relating to this border is a latent point that must be analyzed.
PM2.5-bound trace elements were chosen for health risk assessment because they have been linked to an increased risk of respiratory and cardiovascular illness. Since the Korean national air quality standard for ambient particulate matter is based on PM2.5 mass concentration, there have only been a few measurements of PM2.5 particles together with trace elements that can be utilized to evaluate their effects on air quality and human health. Thus, this study describes the trace elements bound to PM2.5 in Seoul (urban area) and Seosan (rural area) using online nondestructive energy-dispersive X-ray fluorescence analysis from December 2020 to January 2021. At both the Seoul and Seosan sites, S, K, Si, Ca, and Fe constituted most of the PM2.5-bound trace elements (similar to 95%); major components such as S, K, and soil (estimatedcalculatedcalculated based on oxides of Si, Fe, Ca, and Ti) were presumably from anthropogenic and crustal sources, as well as favorable meteorological conditions. During winter, synoptic meteorology favored the transport of particles from severely contaminated regions, such as the East Asian outflow and local emissions. The total dry deposition flux for crustal elements was 894.5 +/- 320.8 mu g m(-2) d(-1) in Seoul and 1088.8 +/- 302.4 mu g m(-2) d(-1) in Seosan. Moreover, potential health risks from the trace elements were estimated. Cancer risk values for carcinogenic trace elements (Cr, As, Ni, and Pb) were within the tolerable limit (1 x 10(-6)), suggesting that adults and children were not at risk of cancer throughout the study period in Seoul and Seosan. Furthermore, a potential risk assessment of human exposure to remaining carcinogens (Cr, As, Ni, and Pb) and non-carcinogens (Cu, Fe, Zn, V, Mn, and Se) indicated that these trace elements posed no health risks. Nevertheless, trace element monitoring, risk assessment, and mitigation must be strengthened throughout the study area to confirm that trace-element-related health effects remain harmless. Researchers and policymakers can use the database from this study on spatial and temporal variation to establish actions and plans in the future.
In an increasingly interconnected society, preventing epidemics has become a major challenge. Numerous infectious diseases spread between individuals by a vector, creating bipartite networks of infection with the characteristics of complex networks. In the case of dengue, a mosquito-borne disease, these infection networks include a vector-the Aedes aegypti mosquito-which has expanded its endemic area due to climate change. In this scenario, innovative approaches are essential to help public agents in the fight against the disease. Using an agent-based model, we investigated the network morphology of a dengue endemic region considering four different serotypes and a small population. The degree, betweenness, and closeness distributions are evaluated for the bipartite networks, considering the interactions up to the second order for each serotype. We observed scale-free features and heavy tails in the degree distribution and betweenness and quantified the decay of the degree distribution with a q-Gaussian fit function. The simulation results indicate that the spread of dengue is primarily driven by human-to-human and human-to-mosquito interaction, reinforcing the importance of controlling the vector to prevent episodes of epidemic outbreaks.
Compound hydrometeorological extremes have been widely examined under climate change, they have significant impacts on ecological and societal well-being. This study sheds light on a new category compound of contrasting extremes, namely compounding wet and dry extremes (CWDEs). The CWDEs are characterized as devastating dry events (EDs) accompanied by wet extremes (EWs) in a given time window. Notably, we first adopt a separate system to identify coinciding events considering the different evolving processes and impacting patterns of EDs and EWs. The peak-over-threshold and standardized index methods are used in a daily and monthly window to identify EWs and EDs respectively. Furthermore, the spatial-temporal changes and risky patterns of CWDEs are revealed by using the Mann-Kendall test, the Ordinary Least Squares, and the Global and Local Moran indices. Germany is the study case. As one major finding, the results indicate a pronounced seasonal effect and spatial clustering pattern of CWDEs. The summer is the most vulnerable period for CWDEs, and the spatial hotspots are mainly located in the southern tip of Germany, as well as in the vicinity of the capital city Berlin. Besides, robust uptrends in CWDEs across all evaluation metrics have been discovered in historical periods, and the moist climate and complex geography collectively contribute to severe CWDEs. Unexpectedly, the study finds that compounding events in dry regions are mainly driven by wet extremes, whereas they show a higher dependency on dry anomalies in wet regions. The research provides new insights into compound extremes which are composed of individual hazards with distinct features. Related findings will aid decision-makers in producing effective risk mitigation plans for prioritizing vulnerable regions. Lastly, the robust framework and open access data allow for extensive exploration of various compounding hazards in different regions.
The escalating global climate crisis necessitates a critical examination of the environmental impact of various sectors, including health care. Ongoing efforts to establish standard methods for estimating emissions and tracking progress are needed to promote sustainable clinical research.
1. Over recent decades, our understanding of climate change has accelerated greatly, but unfortunately, observable impacts have increased in tandem. Both mitigation and adaptation have not progressed at the level or scale warranted by our collective knowledge on climate change. More effective approaches to engage people on current and future anthropogenic climate change effects are urgently needed.2. Here, we show how species whose distributions are shifting in response to climate change, that is, ‘species-on-the-move’, present an opportunity to engage people with climate change by linking to human values, and our deep connections with the places in which we live, in a locally relevant yet globally coherent narrative.3. Species-on-the-move can impact ecosystem structure and function, food security, human health, livelihoods, culture and even the climate itself through feedback to the climate system, presenting a wide variety of potential pathways for people to understand that climate change affects them personally as individuals.4. Citizen science focussed on documenting changes in biodiversity is one approach to foster a deeper engagement on climate change. However, other possible avenues, which may offer potential to engage people currently unconnected with nature, include arts, games or collaborations with rural agriculture (e.g. new occurrences of pest species) or fisheries organisations (e.g. shifting stocks) or healthcare providers (e.g. changing distributions of disease vectors).5. Through the importance we place on the aspects of life impacted by the redistribution of species around us, species-on-the-move offer emotional pathways to connect with people on the complex issue of climate change in profound ways that have the potential to engender interest and action on climate change.
The dual crises of COVID-19 and climate change are impacting the lives of adolescents and young people as they transition to adulthood in an uncertain world, yet they are often excluded from research and political discourse. We surveyed young people about their needs and experiences, critical to engaging them and designing effective programs and policies to address these intersecting harms. The 2022 round of a national online survey through the Violence Outcomes in COVID-19 Epoch (VoCes) Study surveyed 152,088 Mexican youth (15-24 years). Logistic regressions were implemented to identify characteristics associated with four climate responses (economic, work-related, receiving government support, or social network support). Overall, 8.1% of participants experienced a recent climate hazard, with major impacts including housing damage from floods, and crop/livestock losses from drought. Participants who experienced a climate hazard were more likely to have experienced a pandemic-related harm, suggesting a dual impact. Poor youth were more likely to report economic losses from both the pandemic and a climate event but least likely to receive government support. Economic effects from the pandemic are exacerbating climate-related harms, unequally threatening the poorest youth. Engaging young people in decision-making and supporting the most vulnerable youth is critical for the next generation to thrive.
Health professional societies and researchers call for the integration of climate change into health counselling. However, the scientific evidence and conceptual grounding of such climate-sensitive health counselling (CSHC) remains unclear. We conducted a scoping review identifying scientific articles on the integration of climate change into communication between health professionals and patients in health-care settings. Scientific databases (Web of Science, PubMed, and Google Scholar) were searched from inception until Nov 30, 2022. 97 articles were included, of which 33 represented empirical research, and only two evaluated the effects of CSHC. More than half of the articles originated from the USA and addressed physicians. We introduce a conceptual framework for CSHC, which elaborates on aims, content areas, and communication strategies, and establishes the guiding principle of integrating CSHC into routine activities of health care. This framework supports health professionals in implementing CSHC and enables researchers to conceptualise intervention studies investigating how CSHC can contribute to the health of patients and the planet.
BACKGROUND: Health professionals such as physicians and nurses may play an important role in the transformation process towards a healthy, sustainable and climate-sensitive society. However, little is known about their climate-specific health literacy. This study aimed to assess knowledge regarding climate change and its impacts on health and climate-specific health literacy in health professionals. METHODS: In July/August 2022, a cross-sectional, questionnaire-based study was carried out at the University Hospital Regensburg, Germany, to assess climate-specific health literacy in nurses and physicians from various clinical specialties. Descriptive and exploratory statistical analyses were performed. RESULTS: The study population consisted of 142 participants (57.7% women; response rate: 24,7%). Most participants (93%) considered climate change to be highly relevant. However, only 12% of respondents stated to be very well informed regarding the general consequences of climate change. Although 57% of all participants had never mentioned climate change in relation to health to their patients, participants with higher levels of knowledge regarding the effects of climate change were more likely to mention it compared to those with lower levels of knowledge. The most frequently stated obstacle to integrate the topic of climate change in clinical work was lack of time during work (79%), not enough information (42%) and lacking materials (39%). Differences between health professions were apparent. CONCLUSION: The results of our survey suggest that the current state of climate-specific health literacy differs between different groups of health professionals. There is a need to improve health professionals’ levels of climate-specific health literacy and to increase the potential in interprofessional cooperation regarding planetary health.
Climate-change-induced extreme weather events increase heat-related mortality and health risks for urbanites, which may also affect urbanites’ expressed happiness (EH) and well-being. However, the links among EH, climate, and socioeconomic factors remain unclear. Here we collected ∼6 million geotagged tweets from 44 Chinese prefecture-level cities based on Sina Weibo and performed a quadratic regression model to explore the relationships between summer heat and EH. A three-stage analysis was developed to examine spatiotemporal heterogeneity and identify factors contributing to disparities in urbanites’ EH. Results show that all cities exhibited a similar hump-shaped relationship, with an overall optimal temperature (OT) of 22.8 °C. The estimated OT varied geographically, with 25.3, 23.8, and 20.0 °C from north to south. Moreover, a 1 standard deviation increase in heatwave intensity was associated with a 0.813 (95% CI: 0.177, 1.449) standard deviation decrease in EH. Notably, within the geographic scope of this study, it was observed that urbanites in northern China and economically underdeveloped cities faced significantly lower heat risks during the summer heat. This research provides insight for future studies and practical applications concerning extreme weather events, urbanites’ mental health, and sustainable urban development goal.
Cities, the main place of human settlements, are under various mega challenges such as climate change, population increase, economic growth, urbanization, and pandemic diseases, and such challenges are mostly interlinked. Urban heat, due to heatwaves and heat islands, is the combined effect of climate change and urbanization. The COVID-19 is found to be a critical intervention of urban heat. However, the interrelationship between COVID-19 and urban heat has not been fully understood, constraining urban planning and design actions for improving the resilience to the dual impacts of heat and the pandemic. To close this research gap, this paper conducted a review on the co-occurrence of urban heat and the COVID-19 pandemic for a better understanding of their synergies, conflicts or trade-offs. The research involves a systematic review of urban temperature anomalies, variations in air pollutant concentrations, unbalanced energy development, and thermal health risks during the pandemic lockdown. In addition, this paper further explored data sources and analytical methods adopted to screen and identify the interventions of COVID-19 to urban heat. Overall, this paper is of significance for understanding the impact of COVID-19 on urban heat and provides a reference for coping with urban heat and the pandemic simultaneously. The world is witnessing the co-existence of heat and the pandemic, even in the post-pandemic era. This study can enlighten city managers, planners, the public, and researchers to collaborate for constructing a robust and resilient urban system for dealing with more than one challenges.
As climate change exerts wide ranging health impacts, there is a surge of interest in the associations between climatic factors and mental and behavioral disorders (MBDs). Existing quantitative syntheses focus mainly on heat and high temperature exposure, neglecting the effects of other climatic factors and their synergies. The objective of this study is to conduct a systematic review and meta-analysis of the evidence of associations between climatic exposure and combined mental and behavioral health conditions and specific mental disorders (e.g., schizophrenia, dementia). A systematic search was conducted April 11-16, 2022 using Web of Science, Medline, ProQuest, EMBASE, PsycINFO, CINAHL, and Environment Complete. Screening and eligibility screening followed inclusion criteria based on population, exposure, comparator, and outcome guidelines. Risk of bias assessment was performed, a narrative synthesis was first presented for all studies, and random-effect meta-analyses were performed when at least three studies were available for a specific exposure-outcome pair. Certainty of evidence was evaluated following the Grading of Recommendations Assessment, Development and Evaluation (GRADE) tool. The search process yielded 7696 initial results, from which we identified 88 studies to include in the review set. Climatic factors reported included air temperature, solar radiation/sunshine, barometric pressure, precipitation, relative humidity, wind direction/speed, and thermal index. Outcomes including MBD incidences (e.g., schizophrenia, mood disorders, neurotic disorders), mental health-related mortality, and self-reported psychological states. Meta-analysis showed that heatwaves (pooled RR = 1.05, 95 % CI = 1.02-1.08) and extreme high temperatures (99th percentile: pooled RR = 1.18, 95 % CI = 1.08-1.29) were associated with higher risk of MBD. Cold extremes, however, were not associated with MBD risk. The findings further identified an association between increases in a thermal index (i.e., apparent temperature) and elevated risk of MBD (pooled RR = 1.06, 95 % CI = 1.03-1.12); specifically, a 99th percentile high temperature was associated with increased schizophrenia risk (pooled RR = 1.07, 95 % CI = 1.01-1.12). Risk of bias assessment showed most studies to have low or moderately low risks, while a few studies were rated probably high in confounding, selection bias, outcome measurement, and reporting bias. GRADE evaluation revealed moderate certainty of evidence on thermal comfort index and MBD, but low certainty related to air temperature or sunshine duration. These findings call attention to the heterogeneity of exposure measures and the utility of thermal indices that consider the synergistic effects of meteorological factors. Methodological concerns such as the linearity assumption and cumulative effects are discussed.
Attenuated cognitive performances caused by the hot-humid environment have been widely reported. However, the objective evaluation of the cognitive performance is still an open question. In pursuit of a possible biomarker of the cognitive performance under hot-humid exposures, 14 right-handed participants were recruited and exposed to 4 different hot-humid environments for 150 min, during which 5 kinds of cognitive tasks were administrated continuously till they gave up and quitted the experiment. The electrocardiogram (ECG) data were recorded during the whole experiment. Then the heart rate variability (HRV) analysis was conducted based on the ECG data, through which the time-domain indices, frequency-domain indices and non-linear indices were obtained. Thereafter, changes of these HRV indices with the exposure temperature and exposure time were investigated. Subsequently, the correlation analysis between the relative cognitive performance (RCP) calculated from the cognitive task results and these 3 kinds of HRV indices was conducted, producing the most correlated index, the mean LF/HF that represented the ratio of the low frequency and high frequency power from the HRV frequency analysis results. Based on that, the relationship between the mean LF/HF and RCP under different hothumid exposures was scrutinized. Results showed that the HRV indices changed with both the exposure temperatures and time, with certain patterns. Most importantly, a multi-segment negative relation was obtained between the mean LF/HF and the RCP. The mean RCP kept reducing when the mean LF/HF rose up to 3.5, or when the LF/HF was greater than 5, approximately. Between 3.5 and 5, however, slower reduction of the RCP was observed. This study produced a physiological approach to evaluate the cognitive performance alterations in hot-humid environments, which was of great significance to the productivity, safety and health of outdoor workers, especially under the circumstance of global warming.
Few studies have explored the relationships between cold spells and acute myocardial infarction (AMI) using the information of symptom onset. OBJECTIVES: We assessed the impact of cold spells on AMI onset and the potential effect modifiers. METHODS: We conducted a time-stratified case-crossover study among 456,051 eligible patients with AMI from 2,054 hospitals in 323 Chinese cities between January 2015 and June 2021 during cold seasons (November to March). Nine definitions of cold spells were used by combining three relative temperature thresholds (i.e., lower than the 7.5th, 5th, and 2.5th percentiles) and three durations of at least 2-4 consecutive d. Conditional logistic regressions with distributed lag models were applied to evaluate the cumulated effects of cold spells on AMI onset over lags 0-6 d, after adjusting for daily mean temperature. RESULTS: The associations generally appeared on lag 1 d, peaked on lag 3 d, and became nonsignificant approximately on lag 5 d. Cold spells defined by more stringent thresholds of temperature were associated with higher risks of AMI onset. For cold spell days defined by a daily mean temperature of ≤ 7.5th percentile and durations of ≥ 2 d, ≥ 3 d, and ≥ 4 d, the percentage changes in AMI risk were 4.24% [95% confidence interval (CI): 2.31%, 6.20%], 3.48% (95% CI: 1.62%, 5.38%), and 2.82% (95% CI: 0.98%, 4.70%), respectively. Significant AMI risks associated with cold spells were observed among cases from regions without centralized heating, whereas null or much weaker risks were found among those from regions with centralized heating. Patients ≥ 65 years of age were more susceptible to cold spells. DISCUSSION: This national case-crossover study presents compelling evidence that cold spells could significantly increase the risk of AMI onset. https://doi.org/10.1289/EHP11841.
Acute extreme cold exposure impairs human health and even causes hypothermia which threatens human life. Liver, as a hub in metabolism and thermogenesis, is vital for cold acclimatization. Although accumulating evidence has suggested that cold exposure can cause liver damage, the underlying mechanisms remain poorly understood. This study investigated the role and underlying mechanisms of ferroptosis in cold stress-induced liver damage. To evaluate the role of ferroptosis in cold stress-induced liver damage, rats were pretreated with ferroptosis inhibitor liproxstatin-1 (Lip-1) before exposed to -10 °C for 8 h. Core body temperature was recorded. The levels of ferroptosis-related indicators were examined with the corresponding assay kits or by western blotting. Hepatic pathological changes were analyzed by hematoxylin-eosin staining and ultrastructural observation. Serum alanine aminotransferase (ALT) and aspartate aminotransferase (AST) levels were measured to assess liver function. Rats were also pretreated with p38 mitogen-activated protein kinase (MAPK) inhibitor SB203580 or Dynamin-related protein 1 (Drp1) inhibitor Mdivi-1 to determine the underlying mechanisms. We found that Lip-1 inhibited ferroptosis, attenuated hepatic pathological damages and blocked the increased ALT and AST levels in cold-exposed rats. Moreover, Mdivi-1 inhibited mitochondrial fission and suppressed ferroptosis. Furthermore, SB203580 and Mdivi-1 administration alleviated cold stress-induced liver injury. Our results suggested that cold stress caused liver damage partially by inducing ferroptosis through the p38 MAPK/Drp1 pathway. These findings might provide an effective preventive and therapeutic target for cold stress-induced liver injury.
Cold urticaria is a chronic condition causing episodic symptoms of cold-induced wheals or angioedema in response to direct or indirect exposure to cold temperatures. Whereas symptoms of cold urticaria are typically benign and self-limiting, severe systemic anaphylactic reactions are possible. Acquired, atypical, and hereditary forms have been described, each with variable triggers, symptoms, and responses to therapy. Clinical testing, including response to cold stimulation, helps define disease subtypes. More recently, monogenic disorders characterized by atypical forms of cold urticaria have been described. Here, we review the different forms of cold-induced urticaria and related syndromes and propose a diagnostic algorithm to aid clinicians in making a timely diagnosis for the appropriate management of these patients.
In the context of global warming, cold waves have generated less interest in the scientific community than heat waves, despite their impacts on public health, transport infrastructures and energy consumption. The present study analyses climate change scenarios with simulations of the EURO-CORDEX project, using the Excess Cold Factor (ECF) index for the Iberian Peninsula and Balearic Islands (IPB). The dimensions of intensity, frequency, duration and spatial extent are evaluated for the near future (2021-2050) with respect to the historical period of reference (1971-2000). The projections show a significant overall decrease in all dimensions. The mean change in maximum cold wave intensity is-50% over most of the IPB as a whole in the near future (2021-2050). The largest changes occur in the interior of the Peninsula, where the decrease is around-100%. The annual mean number of cold wave days decreases for the IPB as a whole by-50% compared to 1971-2000, with the maximum extent decreasing by more than the mean, with decreases of between-2.4%/decade and -5.5%/ decade. Although a smaller number of cold waves suggests less human exposure, the acclimatisation of the population to higher temperatures will imply that cold waves will continue to pose a serious local threat.
Green leafy vegetables, such as Vigna unguiculata, Brassica oleraceae, and Solanum scabrum, are important sources of vitamins A, B1, and C. Although vitamin deficiencies considerably affect human health, not much is known about the effects of changing soil and climate conditions on vegetable vitamin concentrations. The effects of high or low soil fertility and three drought intensities (75%, 50%, and 25% pot capacity) on three plant species were analysed (n = 48 pots) in a greenhouse trial. The fresh yield was reduced in all the vegetables as a result of lower soil fertility during a severe drought. The vitamin concentrations increased with increasing drought stress in some species. Regardless, the total vitamin yields showed a net decrease due to the significant biomass loss. Changes in vitamin concentrations as a result of a degrading environment and increasing climate change events are an important factor to be considered for food composition calculations and nutrient balances, particularly due to the consequences on human health, and should therefore be considered in agricultural trials.
Extreme heat exposure has been associated with hypertension. However, its interactive influences with air pollution, green and blue spaces are unclear. This study aimed to explore the interaction between heatwaves, air pollution, green and blue spaces on hypertension. Cohort data enrolled 6448 Chinese older adults aged 65 years and over were derived from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) between 2008 and 2018. Nine heatwave definitions, combining three heat thresholds (92.5th, 95th, and 97.5th percentiles of daily maximum temperature) and three durations (≥2, 3 and 4 days) were used as time-varying variables in the analysis and were the one-year exposure before survival events. Fine particulate matter (PM ≤2.5 μm in aerodynamic diameter (PM(2.5))), the Normalized Difference Vegetation Index (NDVI) and the average proportion of open water bodies were used to reflect the air pollution, green and blue space exposures, respectively. PM(2.5), green and blue space exposures were time-varying indicators and contemporaneous with heatwaves. Mixed Cox models with time-varying variables were fitted to assess the multiplicative and additive interaction of heatwaves, PM(2.5), and green and blue spaces on hypertension, measured by a traditional product term with the ratio of hazard ratio (HR) and relative risk due to interaction (RERI), respectively. A positive multiplicative (HRs >1) and additive interaction (RERIs >0) between heatwaves and higher PM(2.5) levels was observed. There was a synergistic effect between heatwaves and decreasing greenness levels on hypertension incidence on additive and multiplicative scales. No significant interaction between heatwaves and blue space was observed in the analysis. The combined effects of heatwaves, air pollution, green and blue space exposures on the risk of hypertension varied with age, gender, and educational attainment. This study’s findings complemented the existing evidence and revealed synergistic harmful impacts for heatwaves with air pollution and lack of green space on hypertension incidence.
The impact of climate change on the physical environment, ecosystems, and human societies is increasingly recognized as the most important global challenge. Climate change may alter, among others, the thermal environment, the occurrence of extreme weather events, and the human exposure to physical, chemical, and biological pollutants, thus affecting human health with several potential outcomes. The impact of climate change on occupational health and safety has been receiving increasing attention in last years. In the European Union, the health and safety of workers is under the rule of Directive 89/391 and its daughters. In a changing climate, compliance with all requirements of the existing EU regulation entails an additional effort to implement preventive and protective measures. A central role in workers’ health protection is played by proper workers’ information and training, which is partly in charge of the occupational physicians. This paper provides a basic proposal on topics related to climate change to update workers’ information and training and to integrate the curricula of occupational physicians. Importantly, suitable information and training may contribute to promoting workers’ health and to implement adaptation measures, which are part of the individual, societal, and global responses to climate change.
Climate change ubiquitously influences social determinants of health via various pathways. Disproportionately burdening communities who have contributed the least to greenhouse gas (GHG) emissions and benefitted the least from economic benefits obtained through high-emission activities that cause climate change, climate justice must be centered in any discussion of health equity. This article will explore how climate change contributes to health disparities in vulnerable populations, why this is a justice issue for primary care to address, and what we can do to promote equity, resilience, and adaption in our current economic system while mitigating GHG emissions, leveraging the health sector.
Polycystic Echinococcosis (PE), a neglected life-threatening zoonotic disease caused by the cestode Echinococcus vogeli, is endemic in the Amazon. Despite being treatable, PE reaches a case fatality rate of around 29% due to late or missed diagnosis. PE is sustained in Pan-Amazonia by a complex sylvatic cycle. The hunting of its infected intermediate hosts (especially the lowland paca Cuniculus paca) enables the disease to further transmit to humans, when their viscera are improperly handled. In this study, we compiled a unique dataset of host occurrences (~86000 records) and disease infections (~400 cases) covering the entire Pan-Amazonia and employed different modeling and statistical tools to unveil the spatial distribution of PE’s key animal hosts. Subsequently, we derived a set of ecological, environmental, climatic, and hunting covariates that potentially act as transmission risk factors and used them as predictors of two independent Maximum Entropy models, one for animal infections and one for human infections. Our findings indicate that temperature stability promotes the sylvatic circulation of the disease. Additionally, we show how El Niño-Southern Oscillation (ENSO) extreme events disrupt hunting patterns throughout Pan-Amazonia, ultimately affecting the probability of spillover. In a scenario where climate extremes are projected to intensify, climate change at regional level appears to be indirectly driving the spillover of E. vogeli. These results hold substantial implications for a wide range of zoonoses acquired at the wildlife-human interface for which transmission is related to the manipulation and consumption of wild meat, underscoring the pressing need for enhanced awareness and intervention strategies.
PURPOSE: Climate disasters have devastating effects on communities and society that encompass all aspects of daily life, including healthcare. Patients with cancer are particularly vulnerable when disaster strikes. As the number and intensity of disasters increases, it is important to understand the effects across the cancer care continuum. This systematic review investigates the effect of climate disasters on patients, the oncology healthcare workforce, and healthcare systems. METHODS: A medical librarian conducted a literature search in PubMed, Embase, CINAHL, and Web of Science from January 1, 2016, through May 11, 2022. Eligible studies included any published report on a climate disaster globally reporting on patient-, oncology healthcare workforce-, or healthcare systems-level outcomes. Study quality was assessed, and findings were narratively synthesized, given the diversity of reported evidence. RESULTS: The literature search identified 3618 records, of which 46 publications were eligible for inclusion. The most frequent climate disaster was hurricanes (N = 27) followed by tsunami (N = 10). Eighteen publications were from disasters that occurred in the mainland USA with 13 from Japan and 12 from Puerto Rico. Patient-level outcomes included treatment interruptions and inability to communicate with the healthcare team. At the workforce level, findings included distressed clinicians caring for others when their own lives have been affected by a disaster along with lack of disaster preparedness training. Health systems reported closures or shifting services post-disaster and a need to have improved emergency response plans. CONCLUSION: Response to climate disasters necessitates a holistic approach at the patient, workforce, and health systems levels. Specifically, interventions should focus on mitigating interruptions in care for patients, advanced coordination and planning for workforce and health systems, and contingency planning for allocation of resources by health systems.
BACKGROUND: Climate change threatens youth mental health through multiple mechanisms, yet empirical studies typically focus on single pathways. We explored feelings of distress over climate change among Tanzanian youth, considering associations with climate change awareness and climate-sensitive risk factors, and assessed how these factors relate to mental health. METHODS: Tanzanian youth (aged 18-23 years) from a cluster randomised controlled trial in Mbeya and Iringa regions of Tanzania were interviewed between Jan 25, and March 3, 2021, and included in this cross-sectional study. A threshold of at least 10 on the ten-item Centre for Epidemiological Studies Depression Scale was used to classify symptom severity indicative of depression. Regardless of climate change awareness, respondents were asked about their feelings of distress on climate change using inclusive language (changing weather patterns or changing seasons). We estimated rate differences in climate change distress (slight or moderate or extreme vs none) by youth characteristics, extent of climate awareness, and climate-sensitive livelihoods (eg, agriculture, tending livestock) and climate-sensitive living conditions (eg, food or water insecurity), using generalised linear models. We compared depression prevalence by extent of climate change distress and climate-sensitive living conditions. FINDINGS: Among 2053 youth (1123 [55%] were male and 930 [45%] were female) included in this analysis, 946 (46%) had reported any distress about climate change. Distress was higher among female, more educated, more religious, older youth, and those working in extreme temperatures. Adjusting for climate awareness-a factor strongly associated with climate distress-helped to explain some of these associations. Depression was 23 percentage points (95% CI 17-28) higher among youth who had severe water insecurity than those who did not. Similarly, youth who had severe food insecurity had 23 percentage points higher depression (95% CI 17-28) compared with those who did not. Those reporting climate change distress also had worse mental health-extremely distressed youth had 18 percentage points (95% CI 6-30) higher depression than those reporting none. INTERPRETATION: Living in conditions worsened by climate change and feeling distressed over climate change have mental health implications among young people from low-resource settings, indicating that climate change can impact youth mental health through multiple pathways. FUNDING: Erasmus Trustfonds, Centre for Global Health Inequalities Research, UK’s Foreign, Commonwealth, and Development Office, Oak Foundation, UNICEF, UK’s Department of International Development, the Swedish Development Cooperation Agency, Irish Aid.
Environmental disasters will increase in frequency and severity due to disruptions to Earth systems, including increased global mean temperatures, caused by human activity, and consequently our health care system will be burdened by ever-increasing rates of illness, mental and physical. Psychologists will need to respond to this pressure by ensuring they have the training, education and interventions to respond to climate-related distress, as well as realising the limits of the therapeutic approach. Climate psychology, a recent field of study integrating and advancing core expertise around climate distress, has become more prominent with the increasing urgency of climate change and emerging documentation of its impacts on mental health and wellbeing. The purpose of this scoping review is to survey the research being undertaken on climate distress, and to identify gaps in the existing literature with a view to shaping practice and informing future research. Younger people, notably, are experiencing climate distress disproportionately and will bear a larger share of the mental health burden caused by climate change, and yet their voices are underrepresented in theoretical and practical interventions. Enlisting young people as research collaborators and co-designers will facilitate more effective responses to the psychological aspects of the climate crisis.
A new database of the Entomological Inoculation Rate (EIR) was used to directly link the risk of infectious mosquito bites to climate in Sub-Saharan Africa. Applying a statistical mixed model framework to high-quality monthly EIR measurements collected from field campaigns in Sub-Saharan Africa, we analyzed the impact of rainfall and temperature seasonality on EIR seasonality and determined important climate drivers of malaria seasonality across varied climate settings in the region. We observed that seasonal malaria transmission was within a temperature window of 15°C-40°C and was sustained if average temperature was well above 15°C or below 40°C. Monthly maximum rainfall for seasonal malaria transmission did not exceed 600 in west Central Africa, and 400 mm in the Sahel, Guinea Savannah, and East Africa. Based on a multi-regression model approach, rainfall and temperature seasonality were found to be significantly associated with malaria seasonality in all parts of Sub-Saharan Africa except in west Central Africa. Topography was found to have significant influence on which climate variable is an important determinant of malaria seasonality in East Africa. Seasonal malaria transmission onset lags behind rainfall only at markedly seasonal rainfall areas such as Sahel and East Africa; elsewhere, malaria transmission is year-round. High-quality EIR measurements can usefully supplement established metrics for seasonal malaria. The study’s outcome is important for the improvement and validation of weather-driven dynamical mathematical malaria models that directly simulate EIR. Our results can contribute to the development of fit-for-purpose weather-driven malaria models to support health decision-making in the fight to control or eliminate malaria in Sub-Saharan Africa.
RationaleThe aim of this paper is to present research examining how the climate hazard of extreme heat impacts varsity-level sport athletes and facilities, current responses, and options for adaptation.MethodsA sample of 30 participants from a higher education institution athletics department was used with a two-phase Delphi study method that applied two iterations of questionnaires and mixed method analysis. The institution was situated in a region with a Koppen classification of “Warm Summer Continental Climate”.FindingsHeat hazards aligned primarily with slow-onset, rather than fast-onset, climate impact categories. Adapting to heat hazards aligned with incremental adaptation rather than transformative adaptation. These findings suggest climate adaptation is a new concept for university sport and so is at a pioneering stage of practice.Practical implicationsIdentifies options for sport managers for integrating adaptation into the strategic and operational thinking of sport organizations.Research contributionThis paper extends knowledge by presenting evidence of heat risks to the sport as perceived by sport managers and participants during an era of climate change. The results address gaps in the existing literature by using primary source data to add to the evidence base for sport and climate change, and by identifying options for climate adaptation.
Moving beyond technocratic approaches to climate action, climate justice articulates a paradigm shift in how organizations think about their response to the climate crisis. This paper makes a conceptual contribution by exploring the potential of this paradigm shift in higher education. Through a commitment to advancing transformative climate justice, colleges and universities around the world could realign and redefine their priorities in teaching, research, and community engagement to shape a more just, stable, and healthy future. As inequitable climate vulnerabilities increase, higher education has multiple emerging opportunities to resist, reverse, and repair climate injustices and related socioeconomic and health disparities. Rather than continuing to perpetuate the concentration of wealth and power by promoting climate isolationism’s narrow focus on technological innovation and by prioritizing the financial success of alumni and the institution, colleges and universities have an opportunity to leverage their unique role as powerful anchor institutions to demonstrate climate justice innovations and catalyze social change toward a more equitable, renewable-based future. This paper explores how higher education can advance societal transformation toward climate justice, by teaching climate engagement, supporting impactful justice-centered research, embracing non-extractive hiring and purchasing practices, and integrating community-engaged climate justice innovations across campus operations. Two climate justice frameworks, Green New Deal-type policies and energy democracy, provide structure for reviewing a breadth of proposed transformational climate justice initiatives in higher education.
This review delves into the complex relationship between environmental factors, their mechanistic cellular and molecular effects, and their significant impact on human health. Climate change is fueled by industrialization and the emission of greenhouse gases and leads to a range of effects, such as the redistribution of disease vectors, higher risks of disease transmission, and shifts in disease patterns. Rising temperatures pose risks to both food supplies and respiratory health. The hypothesis addressed is that environmental stressors including a spectrum of chemical and pathogen exposures as well as physical and psychological influences collectively impact genetics, metabolism, and cellular functions affecting physical and mental health. The objective is to report the mechanistic associations linking environment and health. As environmental stressors intensify, a surge in health conditions, spanning from allergies to neurodegenerative diseases, becomes evident; however, linkage to genetic-altered proteomics is more hidden. Investigations positing that environmental stressors cause mitochondrial dysfunction, metabolic syndrome, and oxidative stress, which affect missense variants and neuro- and immuno-disorders, are reported. These disruptions to homeostasis with dyslipidemia and misfolded and aggregated proteins increase susceptibility to cancers, infections, and autoimmune diseases. Proposed interventions, such as vitamin B supplements and antioxidants, target oxidative stress and may aid mitochondrial respiration and immune balance. The mechanistic interconnections of environmental stressors and disruptions in health need to be unraveled to develop strategies to protect public health.
Vibrio vulnificus is an opportunistic bacterial pathogen, occurring in warm low-salinity waters. V. vulnificus wound infections due to seawater exposure are infrequent but mortality rates are high (~ 18%). Seawater bacterial concentrations are increasing but changing disease pattern assessments or climate change projections are rare. Here, using a 30-year database of V. vulnificus cases for the Eastern USA, changing disease distribution was assessed. An ecological niche model was developed, trained and validated to identify links to oceanographic and climate data. This model was used to predict future disease distribution using data simulated by seven Global Climate Models (GCMs) which belong to the newest Coupled Model Intercomparison Project (CMIP6). Risk was estimated by calculating the total population within 200 km of the disease distribution. Predictions were generated for different “pathways” of global socioeconomic development which incorporate projections of greenhouse gas emissions and demographic change. In Eastern USA between 1988 and 2018, V. vulnificus wound infections increased eightfold (10-80 cases p.a.) and the northern case limit shifted northwards 48 km p.a. By 2041-2060, V. vulnificus infections may expand their current range to encompass major population centres around New York (40.7°N). Combined with a growing and increasingly elderly population, annual case numbers may double. By 2081-2100 V. vulnificus infections may be present in every Eastern USA State under medium-to-high future emissions and warming. The projected expansion of V. vulnificus wound infections stresses the need for increased individual and public health awareness in these areas.
A narrative review on the interlinking effects of climate change and air pollution, and their impacts on human health in the Arabian Peninsula and its Neighbouring Regions (APNR) is provided. The APNR is experiencing the direct impacts of climate change through increasingly extreme temperatures in the summer season, increasing maximum and minimum temperatures, and increased frequency and severity of dust events. The region is also experiencing significant air pollution, of which particulate matter (PM), nitrogen dioxide (NO2) and sulphur dioxide (SO2) are of specific concern. Air pollution in the APNR is mainly caused by unprecedented industrial, population and motorization growth. The discovery of oil in the early 20th century has been the major economic driving force behind these changes. Climate change and air pollution impact human health in the region, primarily respiratory and cardiovascular health. Despite an increase in research capacity, research intensity was found to be inconsistent across the APNR countries, with Saudi Arabia, the UAE, Qatar and Iraq publishing more research articles than the other countries. In this review article, the existing research gaps in the region are investigated and the lack of synthesis between the interacting effects of air pollution and climate change upon human health is highlighted.
Respiratory allergy correlates strictly with air pollution and climate change. Due to climate change, the atmospheric content of trigger factors such as pollens and moulds increase and induce rhinitis and asthma in sensitized patients with IgE-mediated allergic reactions.Pollen allergy is frequently used to evaluate the relationship between air pollution and allergic respiratory diseases. Pollen allergens trigger the release of immunomodulatory and pro-inflammatory mediators and accelerate the onset of sensitization to respiratory allergens in predisposed children and adults. Lightning storms during pollen seasons can exacerbate respiratory allergy and asthma not only in adults but also in children with pollinosis. In this study, we have focalized the trigger (chemical and biologic) factors of outdoor air pollution. RECENT FINDINGS: Environmental pollution and climate change have harmful effects on human health, particularly on respiratory system, with frequent impact on social systems.Climate change is characterized by physic meteorological events inducing increase of production and emission of anthropogenic carbon dioxide (CO 2 ) into the atmosphere. Allergenic plants produce more pollen as a response to high atmospheric levels of CO 2 . Climate change also affects extreme atmospheric events such as heat waves, droughts, thunderstorms, floods, cyclones and hurricanes. These climate events, in particular thunderstorms during pollen seasons, can increase the intensity of asthma attacks in pollinosis patients. SUMMARY: Climate change has important effects on the start and pathogenetic aspects of hypersensitivity of pollen allergy. Climate change causes an increase in the production of pollen and a change in the aspects increasing their allergenic properties. Through the effects of climate change, plant growth can be altered so that the new pollen produced are modified affecting more the human health. The need for public education and adoption of governmental measures to prevent environmental pollution and climate change are urgent. Efforts to reduce greenhouse gases, chemical and biologic contributors to air pollution are of critical importance. Extreme weather phenomena such as thunderstorms can trigger exacerbations of asthma attacks and need to be prevented with a correct information and therapy.
Climate change will alter environmental risks that influence pulmonary health, including heat, air pollution, and pollen. These exposures disproportionately burden populations already at risk of ill health, including those at vulnerable life stages, with low socioeconomic status, and systematically targeted by oppressive policies. Climate change can exacerbate existing environmental injustices by affecting future exposure, as well as through differentials in the ability to adapt; this is compounded by disparities in rates of underlying disease and access to health care. Climate change is therefore a dire threat not only to individual and population health but also to health equity.
This review article delves into the multifaceted relationship between climate change, air quality, and respiratory health, placing a special focus on the process of particle deposition in the lungs. We discuss the capability of climate change to intensify air pollution and alter particulate matter physicochemical properties such as size, dispersion, and chemical composition. These alterations play a significant role in influencing the deposition of particles in the lungs, leading to consequential respiratory health effects. The review paper provides a broad exploration of climate change’s direct and indirect role in modifying particulate air pollution features and its interaction with other air pollutants, which may change the ability of particle deposition in the lungs. In conclusion, climate change may play an important role in regulating particle deposition in the lungs by changing physicochemistry of particulate air pollution, therefore, increasing the risk of respiratory disease development. Climate change influences particle deposition in the lungs by modifying the physicochemical properties of particulate air pollution, thereby escalating the risk of respiratory disease development. It is crucial for healthcare providers to educate patients about the relationship between climate change and respiratory health. People with conditions such as asthma, COPD, and allergies must understand how changes in weather, air pollution, and allergens can exacerbate their symptoms. Instruction on understanding air quality indices and pollen predictions, along with recommendations on adapting everyday activities and medication regimens in response, is essential.
One of the important adverse impacts of climate change on human health is increases in allergic respiratory diseases such as allergic rhinitis and asthma. This impact is via the effects of increases in atmospheric carbon dioxide concentration and air temperature on sources of airborne allergens such as pollen and fungal spores. This review describes these effects and then explores three translational mitigation approaches that may lead to improved health outcomes, with recent examples and developments highlighted. Impacts have already been observed on the seasonality, production and atmospheric concentration, allergenicity, and geographic distribution of airborne allergens, and these are projected to continue into the future. A technological revolution is underway that has the potential to advance patient management by better avoiding associated increased exposures, including automated real-time airborne allergen monitoring, airborne allergen forecasting and modelling, and smartphone apps for mitigating the health impacts of airborne allergens.
Climate change presents a major public health concern in Australia, marked by unprecedented wildfires, heatwaves, floods, droughts, and the spread of climate-sensitive infectious diseases. Despite these challenges, Australia’s response to the climate crisis has been inadequate and subject to change by politics, public sentiment, and global developments. This study illustrates the spatiotemporal patterns of selected climate-related environmental extremes (heatwaves, wildfires, floods, and droughts) across Australia during the past two decades, and summarizes climate adaptation measures and actions that have been taken by the national, state/territory, and local governments. Our findings reveal significant impacts of climate-related environmental extremes on the health and well-being of Australians. While governments have implemented various adaptation strategies, these plans must be further developed to yield concrete actions. Moreover, Indigenous Australians should not be left out in these adaptation efforts. A collaborative, comprehensive approach involving all levels of government is urgently needed to prevent, mitigate, and adapt to the health impacts of climate change.
Severe weather events can be a catalyst for intimate partner violence, particularly in agricultural settings. This research explores the association between weather and violence in parts of East Africa that rely on subsistence farming. We used IPUMS-DHS data from Uganda in 2006, Zimbabwe in 2010, and Mozambique in 2011 for intimate partner violence frequency and EM-DAT data to identify weather events by region in the year of and year prior to IPUMS-DHS data collection. This work is grounded in a conceptual framework that illustrates the mechanisms through which violence increases. We used logistic regression to estimate the odds of reporting violence in regions with severe weather events. The odds of reporting violence were 25% greater in regions with severe weather compared to regions without in Uganda (OR = 1.25, 95% CI: 1.11-1.41), 38% greater in Zimbabwe (OR = 1.38, 95% CI: 1.13-1.70), and 91% greater in Mozambique (OR = 1.91, 95% CI: 1.64-2.23). Our results add to the growing body of evidence showing that extreme weather can increase women’s and girls’ vulnerability to violence. Moreover, this analysis demonstrates that climate justice and intimate partner violence must be addressed together.
The present study examined the influence of improvements to Water, Sanitation, and Hygiene (WASH) infrastructure on rates of under-five mortality specifically from diarrheal disease amongst children in fragile states. The World Bank’s Millennium Development Goals and Sustainable Development Goals both include a specific target of reduction in preventable disease amongst children, as well as goal to improve WASH. Although gains have been made, children under the age of five remain particularly vulnerable to diarrheal mortality in states identified as fragile. Increasingly, climate change is placing undue pressure on states labeled fragile due to their inability to properly prepare for, or respond to, natural disasters that further compromise WASH development and water safety. The impact of climate change upon child health outcomes is neither direct nor linear and necessitates a linkage framework that can account for complex pathways between environmental pressures and public health outcomes. The World Health Organization’s Drive Force-Pressure-State-Exposure-Effect-Action conceptual framework was used to draw the connections between seemingly disparate, and highly nuanced, environmental, and social measures. Using a multilevel hierarchical model, this analysis used a publicly available UNICEF data set that reported rates of mortality specifically from diarrheal disease amongst children age five and younger. All 171 formally recognized countries were included, which showed a decline in diarrheal disease over time when investments in WASH infrastructure are compared. As states experience increased pressure because of climate change, this area of intervention is key for immediate health and safety of children under-five, as well as assisting fragile states long-term as the move toward stability.
Global warming is a pressing problem that necessitates immediate action. This phenomenon is particularly affecting the quality of life in larger cities due to population growth and human mobility. Understanding the space-time variability of the heat stress that various locations will face in the future is therefore crucial for us. Taking into account the aforementioned facts, the current study examined the evolution of the Hi heat stress index in four European capitals – Berlin, Madrid, Paris, and Rome – during the months of July, August, and September between 2008, 2012, and 2017. The European Space Agency (ESA) UrbClim climate model was used to collect environmental data. Furthermore, Local Climatic Zones (LCZ) classifications and land use/cover change (LULC) coverages were used to improve the evaluation and extrapolation of the results. According to the findings, the studied areas experienced significant increases in environmental temperatures and the heat stress index Hi between 2008 and 2017. The four cities’ average increase is 0.31 degrees C per decade, with the southern cities experiencing greater intensity and the northern cities experiencing less intensity. When comparing the spatiotemporal variability of heat stress in different zones, the study discovered that areas with more impervious areas and fewer green areas are more vulnerable to potential increases in heat stress. As a result, future urban developments with more green areas can be able to create spaces that are more resistant to heat stress, improving people’s quality of life.
Climate change is an indisputable threat to human health, especially for societies already confronted with rising social inequality, political and economic uncertainty, and a cascade of concurrent environmental challenges. Archaeological data about past climate and environment provide an important source of evidence about the potential challenges humans face and the long-term outcomes of alternative short-term adaptive strategies. Evidence from well-dated archaeological human skeletons and mummified remains speaks directly to patterns of human health over time through changing circumstances. Here, we describe variation in human epidemiological patterns in the context of past rapid climate change (RCC) events and other periods of past environmental change. Case studies confirm that human communities responded to environmental changes in diverse ways depending on historical, sociocultural, and biological contingencies. Certain factors, such as social inequality and disproportionate access to resources in large, complex societies may influence the probability of major sociopolitical disruptions and reorganizations-commonly known as “collapse.” This survey of Holocene human-environmental relations demonstrates how flexibility, variation, and maintenance of Indigenous knowledge can be mitigating factors in the face of environmental challenges. Although contemporary climate change is more rapid and of greater magnitude than the RCC events and other environmental changes we discuss here, these lessons from the past provide clarity about potential priorities for equitable, sustainable development and the constraints of modernity we must address.
OBJECTIVE: to address the nexus among climate change, migration, and health at global and Italian levels. DESIGN: narrative review. SETTING AND PARTICIPANTS: comprehensive, critical, and objective analysis of the current knowledge on the topic by searching online databases. MAIN OUTCOME MEASURES: evidence from the literature examining health issues associated with migration in the context of climate change. RESULTS: anthropogenic climate change has recently influenced the scale and patterns of human mobility, not only as a driver of migration, but also by interacting with and amplifying the effects of migration determinants, including health determinants. Despite research focusing on the distinct relationship between climate change and migration, as well as climate change and health, little attention has been paid to the nexus among climate change, migration, and health. Evidence available examining various health issues associated with migration in the context of climate change include changing patterns of infectious diseases and their risks, rising cases of malnutrition, trauma and injuries, changing patterns of noncommunicable diseases, impact on mental health. Inadequacy of access to health services due to the weakening and overstretching health systems also plays an important role. In a country like Italy, even if the immediate threats posed by climate change differ from one area to another, these threats are already exacerbating the country’s existing infrastructure deficiencies, industrial pollution, and hydrogeological and seismic vulnerability. In addition, Italy has historically been a destination country of immigrant afflux through different migration routes. It is possible that the consequences of climate change in Sub-Saharan Africa will drive a growing number of people to cross the sea to reach Europe, specifically Italy. Conclusions: climate change, human migration, and health should be considered as an interconnected and complex issue. A shift to climate resilient health systems’ is a useful precautionary measure as it aims to strengthen multiple aspects of national and sub-national health systems, regardless of the extent to which climate-related migration might occur.
Climate change has a pervasive impact on health and is of clinical relevance to every organ system. Climate change-related factors impact the skin’s capacity to maintain homeostasis, leading to a variety of cutaneous diseases. Stratospheric ozone depletion has led to increased risk of melanoma and keratinocyte carcinomas due to ultraviolet radiation exposure. Atopic dermatitis, psoriasis, pemphigus, acne vulgaris, melasma, and photoaging are all associated with rising levels of air pollution. Elevated temperatures due to global warming induce disruption of the skin microbiome, thereby impacting atopic dermatitis, acne vulgaris, and psoriasis, and high temperatures are associated with exacerbation of skin disease and increased risk of heat stroke. Extreme weather events due to climate change, including floods and wildfires, are of relevance to the dermatologist as these events are implicated in cutaneous injuries, skin infections, and acute worsening of inflammatory skin disorders. The health consequences as well as the economic and social burden of climate change fall most heavily on vulnerable and marginalized populations due to structural disparities. As dermatologists, understanding the interaction of climate change and skin health is essential to appropriately manage dermatologic disease and advocate for our patients.
This research study explored the lived experience of the elderly with coronary artery disease (CAD) relevant to the effects of climate change as a basis for enhanced and strengthened community-based self-care measures. Methods: A descriptive phenomenological design was employed in the study. Consented face-to-face interview sessions with audio recordings were conducted to gather rich information. The data collected from 28 participants were analyzed using the modified Stevick-Colaizzi-Keen method. Results: Three themes emerged upon a thorough analysis of the results: (1) elucidating the elderly’s perception of climate change; (2) unveiling the effects of climate change on CAD; and (3) managing health-related behaviors in a changing environment. Evidence has revealed that climate change causes and aggravates this disease. CAD manifestations worsen when an elderly person is exposed to sudden changes in weather conditions, where various signs and symptoms are evident. Conclusion: In conclusion, elderly clients have an awareness of the concept of climate change and its physiologic effects on CAD; hence, employment of practical self-care measures and practices in managing manifestations, significantly helps them adapt and cope with the adverse effects climate change brings.
This work investigates the impact of climate change characteristics on population health and employs the deep neural network (DNN) and hyperautomation mechanisms to achieve this goal. It aims to rapidly analyze climate changes using DNN, establish accurate models, and apply these models to predict and diagnose human health conditions. Hence, this work introduces the role of artificial intelligence (AI) in the realms of climate change and human health, followed by a detailed description of the Back-Propagation Neural Network (BPNN) training process. Subsequently, with Shaanxi Province as the climate study area, this work discusses the relationship between climate change features and population health. Then, it selects meteorological change conditions that easily lead to urticaria, a skin condition triggered by climate changes, as predictive factors to develop a population disease prediction model. This model forecasts climate changes to validate the BPNN method’s practicality. To be specific, this work utilizes the national climate assessment datasets of the Environmental Protection Agency and the national health and nutrition examination survey datasets to predict the occurrence of urticaria in the human body. These datasets encompass physiological parameters, lifestyles, and health status information of urban residents, aiming to evaluate the impact of climate change on people’s health. The results show that the BPNN model has a 29.45% higher prediction accuracy than the Logistic regression model and a 30.27% higher accuracy than the SVM model. Compared to the Transformer and the Generative Adversarial Network, the BPNN model also outperforms, exhibiting higher prediction accuracy and lower prediction errors. This indicates that the BPNN model exhibits a high level of accuracy when predicting the relationship between meteorological characteristics and urticaria prevalence. The high predictive accuracy of the BPNN model in the study of the relationship between climate change and human health holds significant prospects for ensuring public health and enhancing the scientific and targeted nature of medical decision-making.
Global heating is subjecting more of the planet to longer periods of higher heat stress categories commonly employed to determine safe work durations. This study compared predicted worker heat strain and labour capacity for a recent normal climate (1986-2005) and under commonly applied climate scenarios for the 2041-2080 period for selected Australian locations. Recently published heat indices for northern (Darwin, Townsville, and Tom Price) and south-eastern coastal and inland Australia locations (Griffith, Port Macquarie, and Clare) under four projected climate scenarios, comprising two representative concentration pathways (RCPs), RCP4.5 and RCP8.5, and two time periods, 2041-2060 and 2061-2080, were used. Safe work durations, before the threshold for core temperature (38.0 °C) or sweat loss (5% body mass) are attained, were then estimated for each scenario using the predicted heat strain model (ISO7933). The modelled time to threshold core temperature varied with location, climate scenario, and metabolic rate. Relative to the baseline (1986-2005), safe work durations (labour capacity) were reduced by >50% in Port Macquarie and Griffith and by 20-50% in northern Australia. Reaching the sweat loss limit restricted safe work durations in Clare and Griffith. Projected future climatic conditions will adversely impact the predicted heat strain and labour capacity of outdoor workers in Australia. Risk management strategies must adapt to warming conditions to protect outdoor workers from the deleterious effects of heat.
The climate and environmental changes in the Global South have devastating effects on vulnerable populations, which have been perpetuated by socio-economic and political as well as gender inequalities and non-existent interventions to adapt and mitigate its adverse effects. Underpinned by the Protection Motivation Theory and Social-Cognitive Preparation model, this systematic literature review article depicts how vulnerable populations are impacted by climate change in the Global South. Using the empirical data from credible databases including the Web of Science and Scopus, 23 articles published since 2018 were searched, retrieved, coded, and classified with three themes emerging from the synthesised literature. The analysis of the literature confirms that climate change indeed impacts vulnerable populations adversely; the adaptability mechanisms are not applied by governments which are contrary to the international frameworks; and lastly, that such groups are discriminated against, undermined, and overlooked in societal programmes and interventions to mitigate the impacts of climate-induced disasters. Climate change impacts have severely destroyed the livelihoods of vulnerable populations and are exacerbated by socio-economic and political inequalities, with the adaptation and mitigation mechanisms deemed ineffective. Gaps in current research studies include the paucity of empirical data shedding light on the interventions provided for sexual gender-based violence victims and punitive actions issued against the perpetrators during and in the aftermath of the climate-induced disasters. There is also scant empirical data testing the adaptation and mitigation mechanisms’ effectiveness.
Seafood is an important source of bioavailable micronutrients supporting human health, yet it is unclear how micronutrient production has changed in the past or how climate change will influence its availability. Here combining reconstructed fisheries databases and predictive models, we assess nutrient availability from fisheries and mariculture in the past and project their futures under climate change. Since the 1990s, availabilities of iron, calcium and omega-3 from seafood for direct human consumption have increased but stagnated for protein. Under climate change, nutrient availability is projected to decrease disproportionately in tropical low-income countries that are already highly dependent on seafood-derived nutrients. At 4 degrees C of warming, nutrient availability is projected to decline by similar to 30% by 2100 in low income countries, while at 1.5-2.0 degrees C warming, decreases are projected to be similar to 10%. We demonstrate the importance of effective mitigation to support nutritional security of vulnerable nations and global health equity.
Climate change adversely impacts global health. Increasingly, temperature variability, inclement weather, declining air quality, and growing food and clean water supply insecurities threaten human health. Earth’s temperature is projected to increase up to 6.4 °C by the end of the 21st century, exacerbating the threat. Public and health care professionals, including pulmonologists, perceive the detrimental effects of climate change and air pollution and support efforts to mitigate its effects. In fact, evidence is strong that premature cardiopulmonary death is associated with air pollution exposure via inhalation through the respiratory system, which functions as a portal of entry. However, little guidance is available for pulmonologists in recognizing the effects of climate change and air pollution on the diverse range of pulmonary disorders. To educate and mitigate risk for patients competently, pulmonologists must be armed with evidence-based findings of the impact of climate change and air pollution on specific pulmonary diseases. Our goal is to provide pulmonologists with the background and tools to improve patients’ health and to prevent adverse outcomes despite climate change-imposed threats. In this review, we detail current evidence of climate change and air pollution impact on a diverse range of pulmonary disorders. Knowledge enables a proactive and individualized approach toward prevention strategies for patients, rather than merely treating ailments reactively.
Climate-related hazards such as heatwaves, flooding, wildfires, and storms will increase morbidity and mortality unless infrastructure decision-makers-including urban planners, infrastructure asset managers, and utility providers-implement preventive measures to protect public health from these hazards. Existing research and policies have not systematically identified the key risk factors that these decision-makers need to manage to protect public health in a changing climate. This gap leads to unclarity regarding what infrastructure interventions are required to prevent climate-related health risks and what actors have a responsibility to manage these risks. The Climate-Health-Infrastructure-Pathways Model is introduced in this paper to address this gap and provide a conceptual map that captures the role of physical infrastructure systems in the pathways between climate-related hazards and health risks. The model surpasses what can be found in existing climate change research and policy, including the latest IPCC reporting, and is a conceptual qualitative tool that offers a typology of climate and health risks for infrastructure management. Decision-makers can use the model as a starting point to review the coverage of their current climate risk management plans and identify further opportunities to develop preventive infrastructure responses to protect public health in a changing climate.
This review examines the impact of climate change on the respiratory health of children, with a focus on temperature, humidity, air pollution, and extreme weather events. Climate change is considered the greatest health threat of our time, and children are especially at risk. This review is timely and relevant as it provides an overview of the current literature on the effects of climate change on children’s respiratory health, and the implications of these findings for clinical practice and research. RECENT FINDINGS: The findings of this review suggest that climate change has a significant impact on children’s respiratory health, with temperature, humidity, air pollution, and extreme weather events being key contributory factors. Increases in extreme weather events such as heatwaves, wildfires, floods, droughts, hurricanes and dust storms all cause the health of children’s respiratory system to be at increased risk. SUMMARY: The findings of this review suggest that climate change has a significant impact on children’s respiratory health, and that mitigation and adaptation strategies are necessary to protect children from the harmful effects of climate change and improve their respiratory health. Overall, a comprehensive and integrated approach is necessary to protect children from the increasing impacts of climate change.
At present, climate change is considered a considerable future threat due to its possible catastrophic impacts on humans, their properties, and also the environment. Therefore, most people and organizations have paid attention to this area. Thus, special consideration should be given to building operations, as buildings and building operations are capable of being impacted by various negative consequences of climate change. As facade-maintenance workers experience considerable climate change impacts as they perform their work for prolonged hours, at height, on the exterior of buildings, this study focuses on identifying the impacts of climate change on facade-access methods and facade-maintenance workers. Thus, in this study, a qualitative research approach was undertaken with an interview research design. A comprehensive literature review was conducted along with 12 semi-structured expert interviews selected through judgmental sampling. Software-aided thematic content analysis was carried out to analyze the collected data. The findings indicated that climate change could have significant impacts on building operations, as the attention paid to climate change adaptation by building operations is negligible in various countries, especially in developing countries. A significant impact was identified on facade-maintenance workers and facade-access methods caused by climate change, creating various risk factors for their occupational health and safety. Furthermore, the research methods that have been applied in this study are also capable of expanding to address various other probable operations. Accordingly, this research is exploring a new field of study that should be given more consideration by researchers due to its significant importance in scenarios that are experienced worldwide.
Climate change is most strongly felt in the polar regions of the world, with significant impacts on the species that live there. The arrival of parasites and pathogens from more temperate areas may become a significant problem for these populations, but current observations of parasite presence often lack a historical reference of prior absence. Observations in the high Arctic of the seabird tick Ixodes uriae suggested that this species expanded poleward in the last two decades in relation to climate change. As this tick can have a direct impact on the breeding success of its seabird hosts and vectors several pathogens, including Lyme disease spirochaetes, understanding its invasion dynamics is essential for predicting its impact on polar seabird populations. Here, we use population genetic data and host serology to test the hypothesis that I. uriae recently expanded into Svalbard. Both black-legged kittiwakes (Rissa tridactyla) and thick-billed murres (Uria lomvia) were sampled for ticks and blood in Kongsfjorden, Spitsbergen. Ticks were genotyped using microsatellite markers and population genetic analyses were performed using data from 14 reference populations from across the tick’s northern distribution. In contrast to predictions, the Spitsbergen population showed high genetic diversity and significant differentiation from reference populations, suggesting long-term isolation. Host serology also demonstrated a high exposure rate to Lyme disease spirochaetes (Bbsl). Targeted PCR and sequencing confirmed the presence of Borrelia garinii in a Spitsbergen tick, demonstrating the presence of Lyme disease bacteria in the high Arctic for the first time. Taken together, results contradict the notion that I. uriae has recently expanded into the high Arctic. Rather, this tick has likely been present for some time, maintaining relatively high population sizes and an endemic transmission cycle of Bbsl. Close future observations of population infestation/infection rates will now be necessary to relate epidemiological changes to ongoing climate modifications.
Brain size evolution in hominins constitutes a crucial evolutionary trend, yet the underlying mechanisms behind those changes are not well understood. Here, climate change is considered as an environmental factor using multiple paleoclimate records testing temperature, humidity, and precipitation against changes to brain size in 298 Homo specimens over the past fifty thousand years. Across regional and global paleoclimate records, brain size in Homo averaged significantly lower during periods of climate warming as compared to cooler periods. Geological epochs displayed similar patterns, with Holocene warming periods comprising significantly smaller brained individuals as compared to those living during glacial periods at the end of the Late Pleistocene. Testing spatiotemporal patterns, the adaptive response appears to have started roughly fifteen thousand years ago and may persist into modern times. To a smaller degree, humidity and precipitation levels were also predictive of brain size, with arid periods associated with greater brain size in Homo. The findings suggest an adaptive response to climate change in human brain size that is driven by natural selection in response to environmental stress.
Interactions with wildlife can pose substantial physical risk to humans, as well as damage efforts to protect the species involved. News reports of increasing dangerous interactions with animals indicate climate change may be acting as a risk magnifier for these confrontations, yet its impacts on human-wildlife interactions remain uncertain in the scientific discourse. We analysed 331 media reports on climate change driven human wildlife conflicts involving physically dangerous species and verified the effects found in the media with evidence from scientific literature. Our analysis showed that climate change can increase wildlife-induced physical harm to people. This result was consistent for venomous species, terrestrial-and aquatic carnivorous species and largebodied terrestrial animals in 44 countries across the globe. We identified four climate driven trends that impact the risk of human casualties: i) increased resource competition between humans and wildlife due to drought; ii) range expansion of dangerous animals due to higher average temperatures; iii) temporary displacement of wildlife due to extreme weather events; iv) and changes in temporal behaviour patterns of wildlife due to higher average temperatures. The identification of overarching trends across different regions and species show the need to bridge the gap between wildlife research and the study of climate-related risks. The existence of, or potential for, wildlife-induced physical harm to people should be taken into account as a component of climate change driven risk. At the same time, we stress the importance of including current and future impacts of climate change into long-term wildlife management- and conservation schemes.
Climate change has increased the frequency of extreme weather events and compounded natural disasters. Heat, wildfires, flooding, and pollen are already threatening public health and disproportionately affecting individuals in susceptible situations and vulnerable locations. In this theme issue of the Journal of Allergy and Clinical Immunology, we address what is known and not known about the biologic as well as clinical upstream and downstream effects of climate change on asthma and allergy development and exacerbation. We present potential actions that individuals can take at the family, neighborhood, community, health care system, and national and international levels to build climate resilience and protect their own health and the health and welfare of others. We emphasize the importance of actions and policies that are context specific and just. We emphasize the need for the health care system, which contributes between 3% and 5% of global greenhouse gas emissions, to reduce its carbon footprint and build resiliency. Health care providers play a pivotal role in helping policymakers understand the effects of climate on the health of our patients. There is still a window to avoid the most serious effects of climate change on human health and our planet.
Bat-borne pathogens are a threat to global health and in recent history have had major impacts on human morbidity and mortality. Examples include diseases such as rabies, Nipah virus encephalitis, and severe acute respiratory syndrome (SARS). Climate change may exacerbate the emergence of bat-borne pathogens by affecting the ecology of bats in tropical ecosystems. Here, we report the impacts of climate change on the distributional ecology of the common vampire bat Desmodus rotundus across the last century. Our retrospective analysis revealed a positive relationship between changes in climate and the northern expansion of the distribution of D. rotundus in North America. Furthermore, we also found a reduction in the standard deviation of temperatures at D. rotundus capture locations during the last century, expressed as more consistent, less-seasonal climate in recent years. These results elucidate an association between D. rotundus range expansion and a continental-level rise in rabies virus spillover transmission from D. rotundus to cattle in the last 50 years of the 120-year study period. This correlative study, based on field observations, offers empirical evidence supporting previous statistical and mathematical simulation-based studies reporting a likely increase of bat-borne diseases in response to climate change. We conclude that the D. rotundus rabies system exemplifies the consequences of climate change augmentation at the wildlife-livestock-human interface, demonstrating how global change acts upon these complex and interconnected systems to drive increased disease emergence.
Snakebite affects more than 1.8 million people annually. Factors explaining snakebite variability include farmers’ behaviors, snake ecology and climate. One unstudied issue is how farmers’ adaptation to novel climates affect their health. Here we examined potential impacts of adaptation on snakebite using individual-based simulations, focusing on strategies meant to counteract major crop yield decline because of changing rainfall in Sri Lanka. For rubber cropping, adaptation led to a 33% increase in snakebite incidence per farmer work hour because of work during risky months, but a 17% decrease in total annual snakebites because of decreased labor in plantations overall. Rice farming adaptation decreased snakebites by 16%, because of shifting labor towards safer months, whereas tea adaptation led to a general increase. These results indicate that adaptation could have both a positive and negative effect, potentially intensified by ENSO. Our research highlights the need for assessing adaptation strategies for potential health maladaptations.
BACKGROUND: The German healthcare system is responsible for 5,2% of the national emissions of greenhouse gases. Therefore, mitigation actions to reduce the carbon footprint are crucial. However, there have been few approaches to achieve this in German primary care. OBJECTIVES: This study aimed to identify environmental impact-reducing strategies of German primary care practices. METHODS: During the summer of 2021, a qualitative study was conducted using interviews and focus groups with experts in primary care across Germany, such as physicians, medical assistants, health scientists and experts on the health system level. Verbatim transcribed data were analyzed using Thematic Analysis. RESULTS: The sample comprised 26 individual interviews and two focus groups with a total of N = 40 participants. Findings provide a first overview of pursued mitigation strategies and contextual factors influencing their implementation. Strategies referred to the use of water and energy, recycling and waste management, supply chains and procurement, digitisation, mobility, patient care, behavioural changes and system level. Implementing sustainable actions in daily care was considered expensive and often unfeasible due to lack of staff, time and restrictive hygiene regulations. Participants called for more instruction on implementing mitigating actions, for example, through websites, podcasts, guidelines or quality indicators. CONCLUSION: This study’s findings can support the development of future environmental impact-reducing strategies in primary care. Potential options for guidance and support should be considered to facilitate sustainability.
Pregnant women are highly vulnerable to adverse environments. Accumulating evidence highlights that increasing temperatures associated with the ongoing climate change pose a threat to successful reproduction. Heat stress caused by an increased ambient temperature can result in adverse pregnancy outcomes, e.g., preterm birth, stillbirth and low fetal weight. The pathomechanisms through which heat stress interferes with pregnancy maintenance still remain vague, but emerging evidence underscores that the endocrine system is severely affected. It is well known that the endocrine system pivotally contributes to the physiological progression of pregnancy. We review – sometimes speculate – how heat stress can offset hormonal dysregulations and subsequently derail other systems which interact with hormones, such as the immune response. This may account for the heat-stress related threat to successful pregnancy progression, fetal development and long-term children’s health.
This scoping review examines peer-reviewed literature of governance and public engagement at the intersection of public health and climate change in South America. The review shows significant gaps in academic publications, particularly because health was mostly a secondary theme examined in the studies. The few studies about governmental interventions (e.g., policies and programs) suggest that these have not been effective. Regarding public engagement, no studies examined social media engagement with health and climate change, and only one examined news coverage. Finally, most articles focused primarily on individual countries, with few comparative or regional analyses of South America. Strategic action addressing climate change and its effects on public health needs to be based on empirical evidence.
Global climate change and extreme weather events are associated with epigenetic modifications in immune cells, leading to the possible increased risk and prevalence of allergies and autoimmune diseases.
Climate change is one of the major public health emergencies with already unprecedented impacts on our planet, environment and health. Climate change has already resulted in substantial increases in temperatures globally and more frequent and extreme weather in terms of heatwaves, droughts, dust storms, wildfires, rainstorms and flooding, with prolonged and altered allergen and microbial exposure as well as the introduction of new allergens to certain areas. All these exposures may have a major burden on patients with respiratory conditions, which will pose increasing challenges for respiratory clinicians and other healthcare providers. In addition, complex interactions between these different factors, along with other major environmental risk factors (e.g. air pollution), will exacerbate adverse health effects on the lung. For example, an increase in heat and sunlight in urban areas will lead to increases in ozone exposure among urban populations; effects of very high exposure to smoke and pollution from wildfires will be exacerbated by the accompanying heat and drought; and extreme precipitation events and flooding will increase exposure to humidity and mould indoors. This review aims to bring respiratory healthcare providers up to date with the newest research on the impacts of climate change on respiratory health. Respiratory clinicians and other healthcare providers need to be continually educated about the challenges of this emerging and growing public health problem and be equipped to be the key players in solutions to mitigate the impacts of climate change on patients with respiratory conditions. EDUCATIONAL AIMS: To define climate change and describe major related environmental factors that pose a threat to patients with respiratory conditions.To provide an overview of the epidemiological evidence on climate change and respiratory diseases.To explain how climate change interacts with air pollution and other related environmental hazards to pose additional challenges for patients.To outline recommendations to protect the health of patients with respiratory conditions from climate-related environmental hazards in clinical practice.To outline recommendations to clinicians and patients with respiratory conditions on how to contribute to mitigating climate change.
Billions of years ago, the Earth’s waters were dominated by cyanobacteria. These microbes amassed to such formidable numbers, they ushered in a new era-starting with the Great Oxidation Event-fuelled by oxygenic photosynthesis. Throughout the following eon, cyanobacteria ceded portions of their global aerobic power to new photoautotrophs with the rise of eukaryotes (i.e. algae and higher plants), which co-existed with cyanobacteria in aquatic ecosystems. Yet while cyanobacteria’s ecological success story is one of the most notorious within our planet’s biogeochemical history, scientists to this day still seek to unlock the secrets of their triumph. Now, the Anthropocene has ushered in a new era fuelled by excessive nutrient inputs and greenhouse gas emissions, which are again reshaping the Earth’s biomes. In response, we are experiencing an increase in global cyanobacterial bloom distribution, duration, and frequency, leading to unbalanced, and in many instances degraded, ecosystems. A critical component of the cyanobacterial resurgence is the freshwater-marine continuum: which serves to transport blooms, and the toxins they produce, on the premise that “water flows downhill”. Here, we identify drivers contributing to the cyanobacterial comeback and discuss future implications in the context of environmental and human health along the aquatic continuum. This Minireview addresses the overlooked problem of the freshwater to marine continuum and the effects of nutrients and toxic cyanobacterial blooms moving along these waters. Marine and freshwater research have historically been conducted in isolation and independently of one another. Yet, this approach fails to account for the interchangeable transit of nutrients and biology through and between these freshwater and marine systems, a phenomenon that is becoming a major problem around the globe. This Minireview highlights what we know and the challenges that lie ahead.
Climate change is a mounting pressure on private health financing in Africa – directly because of increased disease prevalence and indirectly because of its negative impact on household income. The sources and consequences of the pressure constitute an important area of policy discourse, especially as it relates to issues of poverty and inequality. Relying on a panel dataset involving 49 African countries and the period 2000-2019, as well as a random effect regression analysis, this report shows that climate change has a positive and significant impact on the level of out-of-pocket health expenditure (OPHE) in Africa, and an increase in the level of greenhouse (CO2) emissions by 1% could bring about a 0.423% increase in the level of OPHE. Indirectly, the results show that, compared with the regional average, countries that have higher government health expenditure levels, above 1.7% regional average, and face higher climate change risk may likely record an increase in OPHE. Alternatively, countries with higher per capita income (above the regional annual average of $2300.00) are likely to record a drop in OPHE. Countries with lower climate change risk and a lower than the regional average age dependency (above the regional average of 80.4%) are also likely to record a drop in OPHE. It follows that there is a need for policy alignment, especially with regard to how climate change influences primary health care funding models in Africa.Contribution: The results of this research offer policymakers in-depth knowledge of how climate change erodes healthcare financing capacity of government and shifts the burden to households. This raises concerns on the quality of accessible healthcare and the link with poverty and inequality.
As the climate crisis grows, so does the global burden of displacement. Displacement, whether a direct or indirect consequence of natural disaster, can lead to dire health sequelae. Skin health is no exception to this, with dermatologic disease being a leading concern reported by those who care for displaced persons. Health professionals who provide dermatologic care for displaced persons benefit from understanding how climate change impacts the global profile of infectious agents. METHODS: This review was performed using PubMed and Google Scholar. Search terms included climate change, displaced person, internally displaced person, and refugee, as well as searches of infectious disease dermatology and the specific diseases of interest. Case reports, case series, reviews, and original research articles were included in this review. Non-English studies were not included. RESULTS: In this manuscript several key infectious agents were identified, and we discuss the skin manifestations and impact of climate change on cutaneous leishmaniasis, dengue, chikungunya, zika, malaria, pediculosis, cutaneous larva migrans, cholera, and varicella zoster. CONCLUSIONS: Climate change plays a significant role in the challenges faced by displaced persons, including their skin health. Among the many consequences of climate change is its altering of the ecological profile of infectious agents and vectors that impact displaced persons. Being familiar with this impact can improve dermatologic care for this vulnerable population.
Esophageal disorders, including gastroesophageal reflux disease (GERD), eosinophilic esophagitis (EoE), and esophageal cancer, may be affected by climate change. Our review describes the impact of climate change on risk factors associated with esophageal diseases and speculates how these climate-related factors impacted esophageal disorders and their management. RECENT FINDINGS: Climate change is responsible for extreme weather conditions (shifts in rainfall, floods, droughts, and forest fires) and global warming. These consequences affect basic human needs of water and food, causing changes in population dynamics and pose significant threats to digestive health, including common esophageal disorders like GERD, EoE, and esophageal cancers. The changing patterns of esophageal diseases with climate change are likely mediated through risk factors, including nutrition, pollutants, microplastics, and the microbiota-gut-brain axis. The healthcare process itself, including GI endoscopy practices commonly employed in diagnosing and therapeutics of esophageal diseases, may, in turn, contribute to climate change through plastic wastage and greenhouse gas emissions, thus creating the climate change lifecycle. Breaking the cycle would involve changes at the individual level, community level, and national policy level. Prevention is key, with individuals identifying and remediating risk factors and reducing carbon footprints. The ABC (Advocacy, Broadcast, and Collaborate) activities would help enhance awareness at the community level. Higher-level programs such as the Bracing Resilience Against Climate Effects (BRACE) would lead to broader and larger-scale adoption of public health adaptation strategies at the national level. The impact of climate change on esophageal disorders is likely real, mediated by several risk factors, and creates a climate change lifecycle that may only break if changes are made at individual, community, and national levels.
In an era of accelerating global climate change, human mobility has reached unprecedented levels. While it is acknowledged that many cases of human migration in the context of climate change are forced or involuntary, particularly where adaptation measures have failed to achieve sufficient resiliency of communities against impending slow- and sudden-onset disasters. There are also many cases where migration is, itself, a voluntary adaptive measure to secure otherwise unattainable physical safety and life-sustaining resources. It is in these cases that migration can be viewed as adaptation. Under the right policy conditions, it is possible for such adaptive migration to save countless lives. Moreover, it can achieve remarkable health and well-being gains for otherwise vulnerable communities residing on environmentally degrading lands and disproportionately suffering from the health impacts of climate change. While several activists have spoken loudly on the topic of climate migration, emphasizing the human rights imperative for supportive global policy action, the public health community has not been equally vocal nor unanimous in its stance. This paper, a product of the World Federation of Public Health Associations (WFPHA) Environmental Health Working Group, aims to rectify this gap, by analyzing adaptive climate migration through a public health lens. In doing so, it argues that creating an enabling environment for adaptive climate migration is not just a human rights imperative, but also a public health one. This argument is supported by evidence demonstrating how creating such an enabling environment can synergistically support the fulfillment of key public health services and functions, as outlined under the internationally endorsed Global Charter for the Public’s Health of the WFPHA.
Climate change is contributing to increasingly hazardous tropical cyclones that endanger persons living in susceptible coastal and island communities. People living with chronic illness, including multiple sclerosis (MS), face unique challenges and vulnerabilities when exposed to hurricane hazards. Disaster and emergency preparedness requires a customized approach that considers the necessary adaptations to accommodate the mobility, self-care, sensory, cognitive, and communication impairments of persons living with MS. Related considerations include the potential for worsening neurologic signs and symptoms during and after a catastrophic storm. The impact of emotional and financial stresses, as well as disruptions in health care delivery, on this population are also key concerns. This paper addresses the challenges faced by individuals with MS in advance of, during, and in the aftermath of extreme storms. We propose new guidelines on how health care professionals can assist persons with MS when creating tailored disaster readiness and response plans.
With climate change being the single biggest health threat facing humanity, this review aims to identify the climate-sensitive health risks to the traveler and to recognize the role that travel plays in contributing to the detrimental effects of climate change. With this understanding, adaptations for transformational action can be made. RECENT FINDINGS: Travel and tourism, including transportation, food consumption, and accommodation, is responsible for a large percentage of the world’s carbon emissions which is contributing to the climate change crisis at an alarming rate. Climate change is a health emergency that is resulting in a rise of significant health impacts to the traveler including increased heat illnesses; food-, water-, and vector-borne diseases; and increasing risk of exposure to emerging infectious diseases. Patterns of future travel and destination choices are likely to change due to climactic factors such as temperature and extreme weather events, forced migration, degradation, and disappearance of popular and natural tourist destinations. SUMMARY: Global warming is and will continue to alter the landscape of travel medicine with expansion of transmission seasons and geographic ranges of disease, increased risk of infections and harmful marine toxins, and introduction of emerging infections to naïve populations. This will have implications for pre-travel counseling in assessing risk and discussing the environmental influences on travel. Travelers and stakeholders should be engaged in a dialogue to understand their “climate footprint,” to innovate sustainable solutions, and be empowered to make immediate, conscientious, and responsible choices to abate the impact of breaching critical temperature thresholds.
BACKGROUND: Climate change and globalization contribute to the expansion of mosquito vectors and their associated pathogens. Long spared, temperate regions have had to deal with the emergence of arboviruses traditionally confined to tropical regions. Chikungunya virus (CHIKV) was reported for the first time in Europe in 2007, causing a localized outbreak in Italy, which then recurred repeatedly over the years in other European localities. This raises the question of climate effects, particularly temperature, on the dynamics of vector-borne viruses. The objective of this study is to improve the understanding of the molecular mechanisms set up in the vector in response to temperature. METHODS: We combine three complementary approaches by examining Aedes albopictus mosquito gene expression (transcriptomics), bacterial flora (metagenomics) and CHIKV evolutionary dynamics (genomics) induced by viral infection and temperature changes. RESULTS: We show that temperature alters profoundly mosquito gene expression, bacterial microbiome and viral population diversity. We observe that (i) CHIKV infection upregulated most genes (mainly in immune and stress-related pathways) at 20°C but not at 28°C, (ii) CHIKV infection significantly increased the abundance of Enterobacteriaceae Serratia marcescens at 28°C and (iii) CHIKV evolutionary dynamics were different according to temperature. CONCLUSION: The substantial changes detected in the vectorial system (the vector and its bacterial microbiota, and the arbovirus) lead to temperature-specific adjustments to reach the ultimate goal of arbovirus transmission; at 20°C and 28°C, the Asian tiger mosquito Ae. albopictus was able to transmit CHIKV at the same efficiency. Therefore, CHIKV is likely to continue its expansion in the northern regions and could become a public health problem in more countries than those already affected in Europe.
Climate change anxiety is becoming recognized as a way in which climate change affects mental health. It is not only observed in populations that suffer the most from the direct impacts of climate change but also can be trigged by the mere thought and perception about such impacts. Although climate change is a global problem that is a cause for concern around the world, research on climate anxiety has only recently utilized validated measures, and it has mostly been conducted in Western and developed societies. In response to this research gap, we conducted a cross-national study of climate change anxiety using the Climate Change Anxiety Scale, with participants (N = 4000) from four of the top emitters in the world (China, India, Japan, and the U.S.) which vary in their climate change vulnerabilities and resilience. We demonstrated that the widely adopted measure of climate change anxiety exhibited configural and metric invariance in the four countries. Climate change anxiety was apparently higher in the Chinese and Indian populations than in the Japanese and American populations. There were some demographic correlates of climate change anxiety, but the pattern was not always consistent across the countries. Climate change anxiety was positively associated with engagement in climate action in all four countries, but apparently more so for sustainable diet and climate activism than resource conservation and support for climate policy. The effect was driven more robustly by the cognitive-emotional impairment dimension than the functional impairment dimension of climate change anxiety. Taken together, these obser-vations suggest that the Climate Change Anxiety Scale can be used to assess climate change anxiety across countries, and that there are both similarities and variations across different societal contexts with respect to the experience of climate change anxiety. Future research must take these complexities into consideration.
The authors summarize the underappreciated role of climate change in amplifying human-wildlife conflict. They synthesize evidence of climate-related conflicts and introduce a framework highlighting the environmental, ecological and sociopolitical pathways linking climate change to conflict outcomes. Climate change and human-wildlife conflict are both pressing challenges for biodiversity conservation and human well-being in the Anthropocene. Climate change is a critical yet underappreciated amplifier of human-wildlife conflict, as it exacerbates resource scarcity, alters human and animal behaviours and distributions, and increases human-wildlife encounters. We synthesize evidence of climate-driven conflicts occurring among ten taxonomic orders, on six continents and in all five oceans. Such conflicts disrupt both subsistence livelihoods and industrial economies and may accelerate the rate at which human-wildlife conflict drives wildlife declines. We introduce a framework describing distinct environmental, ecological and sociopolitical pathways through which climate variability and change percolate via complex social-ecological systems to influence patterns and outcomes of human-wildlife interactions. Identifying these pathways allows for developing mitigation strategies and proactive policies to limit the impacts of human-wildlife conflict on biodiversity conservation and human well-being in a changing climate.
BACKGROUND AND OBJECTIVES: According to the World Health Organization, climate change constitutes the single greatest threat to human health. However, the health care system contributes to climate change worldwide through its high CO(2) emissions. In order to make future physicians more aware of this issue and to expand medical education to include climate-related aspects, the mandatory 28 academic hours elective “Climate Change and Health” for students of human medicine in the preclinical study stage was implemented at the Medical Faculty of Ulm in the 2020/21 winter semester. Our accompanying study investigated 1. in what form the topic of climate change can be successfully integrated into the study of human medicine in a manner that includes student opinions and2. whether being required to take an elective on the topic led to changes in student environmental knowledge and awareness. METHODOLOGY: Personal individual interviews were conducted with all n=11 students after the course in a pilot that was carried out in the 2020/21 winter semester to determine course feasibility and student acceptance. The students were also able to evaluate the course using an evaluation form and were asked to complete a questionnaire on their environmental knowledge and awareness before and after the course. The course was revised on the basis of the results and offered again in the 2021 summer semester with an intervention group (n=16, participation in the mandatory elective) and a comparison group (n=25, no participation in the mandatory elective). The intervention group was asked to evaluate the course on the evaluation form. Both groups completed the environmental questionnaire at the same time. RESULTS: The positive feedback from students for both semesters indicates a good feasibility and acceptance of the course. Student environmental knowledge was increased in both semesters. However, there were only few observable changes in student environmental awareness. CONCLUSION: This paper illustrates how the topic of climate change and health can be embedded into medical studies. The students considered climate change an important topic and drew added value from the course for their future work in healthcare. The study shows that knowledge transfer at the university level is an effective way to educate the young generation on climate change and its impacts.
Climate change is the greatest global health threat of the 21st century, with numerous direct and indirect human health consequences. Local governments play a critical role in communities’ response to climate change, both through strategies to reduce emissions and adaption plans to respond to changing climate and extreme weather events. Australian local government environmental health officers (EHOs) have the relevant skills and expertise to inform and develop adaptation plans for health protection in the context of climate change. This study used an online survey followed by phone interviews of local government management to determine the extent to which EHOs are involved in adaptation planning in health protection climate change plans. Questions were also asked to determine whether local councils are aware of EHOs’ capability to contribute and to gauge the willingness of management to provide EHOs with the workload capacity to do so. The findings demonstrated that although climate adaptation and mitigation planning is occurring in local government, it is not including or considering the public health impacts on the community. Primarily, it was found that this oversight was due to a lack of awareness of the health impacts of climate change outside of a disaster or emergency scenario. Currently, EHOs are an untapped source of knowledge and skills that can contribute to climate change adaption planning. To support this, a framework of local environmental health practice was developed to assist the reconceptualization of the scope of practice required for the planning and response to climate change.
Climate change may be the greatest health threat of the twenty-first century, impacting lives both directly and indirectly, through undermining the environmental and social determinants of health. Rapid action to decarbonize economies and build resilience is justified on health, human rights, environmental and economic grounds. While the necessary health response is wide ranging, it can largely be encapsulated within three grand challenges: (i) promote actions that both reduce carbon emissions and improve health; (ii) build better, more climate-resilient and low-carbon health systems; and (iii) implement public health measures to protect from the range of climate risks to health. The health community can make a unique and powerful contribution, applying its trusted voice to climate leadership and advocacy, providing evidence for action, taking responsibility for climate resilience and decarbonization of healthcare systems, and guiding other sectors whose actions impact substantially on health, carbon emissions and climate resilience.
This study aims to investigate climate change’s impact on health and adaptation in Vietnam through a systematic review and additional analyses of heat exposure, heat vulnerability, awareness and engagement, and projected health costs. Out of 127 reviewed studies, findings indicated the wider spread of infectious diseases, and increased mortality and hospitalisation risks associated with extreme heat, droughts, and floods. However, there are few studies addressing health cost, awareness, engagement, adaptation, and policy. Additional analyses showed rising heatwave exposure across Vietnam and global above-average vulnerability to heat. By 2050, climate change is projected to cost up to USD1-3B in healthcare costs, USD3-20B in premature deaths, and USD6-23B in work loss. Despite increased media focus on climate and health, a gap between public and government publications highlighted the need for more governmental engagement. Vietnam’s climate policies have faced implementation challenges, including top-down approaches, lack of cooperation, low adaptive capacity, and limited resources.
Climate change presents an imminent threat to almost all biological systems across the globe. In recent years there have been a series of studies showing how changes in climate can impact infectious disease transmission. Many of these publications focus on simulations based on in silico data, shadowing empirical research based on field and laboratory data. A synthesis work of empirical climate change and infectious disease research is still lacking. METHODS: We conducted a systemic review of research from 2015 to 2020 period on climate change and infectious diseases to identify major trends and current gaps of research. Literature was sourced from Web of Science and PubMed literary repositories using a key word search, and was reviewed using a delineated inclusion criteria by a team of reviewers. RESULTS: Our review revealed that both taxonomic and geographic biases are present in climate and infectious disease research, specifically with regard to types of disease transmission and localities studied. Empirical investigations on vector-borne diseases associated with mosquitoes comprised the majority of research on the climate change and infectious disease literature. Furthermore, demographic trends in the institutions and individuals published revealed research bias towards research conducted across temperate, high-income countries. We also identified key trends in funding sources for most resent literature and a discrepancy in the gender identities of publishing authors which may reflect current systemic inequities in the scientific field. CONCLUSIONS: Future research lines on climate change and infectious diseases should considered diseases of direct transmission (non-vector-borne) and more research effort in the tropics. Inclusion of local research in low- and middle-income countries was generally neglected. Research on climate change and infectious disease has failed to be socially inclusive, geographically balanced, and broad in terms of the disease systems studied, limiting our capacities to better understand the actual effects of climate change on health.
The informal economy is crucial for making cities function, and it provides the main means of income for a significant proportion of all workers globally. At the same time, informal workers are extremely vulnerable to the effects of climate change, with higher temperatures and more intense weather events causing direct physical harm and contributing to ill-health. This paper analyzes research from three cities in India and Zimbabwe (Indore, Harare, and Masvingo) to describe the vulnerability of informal workers in several sectors. It highlights the ways in which the direct impacts of climate change are compounded by other factors, including low-quality living conditions and the absence of provision for Occupational Health and Safety (OHS). Informal workers in the three cities have adopted a range of responses to reduce risk, and there are some recent inclusive engagements with local officials to enhance living and working conditions. However, key interventions such as expanding access to social protection (which has important potential to foster climate resilience) often fail to reach the most vulnerable urban informal workers. We conclude with recommendations and an agenda for more equitable policy and practice that can support multiple benefits for informal workers’ health, livelihoods, and climate resilience in urban areas.
Knowing water quality at larger scales and related ground and surface water interactions impacted by land use and climate is essential to our future protection and restoration investments. Population growth has driven humankind into the Anthropocene where continuous water quality degradation is a global phenomenon as shown by extensive recalcitrant chemical contamination, increased eutrophication, hazardous algal blooms, and faecal contamination connected with microbial hazards antibiotic resistance. In this framework, climate change and related extreme events indeed exacerbate the negative trend in water quality. Notwithstanding the increasing concern in climate change and water security, research linking climate change and groundwater quality remain early. Additional research is required to improve our knowledge of climate and groundwater interactions and integrated groundwater management. Long-term monitoring of groundwater, surface water, vegetation, and land-use patterns must be supported and fortified to quantify baseline properties. Concerning the ways climate change affects water quality, limited literature data are available. This study investigates the link between climate change and groundwater quality aquifers by examining case studies of regional carbonate aquifers located in Central Italy. This study also highlights the need for strategic groundwater management policy and planning to decrease groundwater quality due to aquifer resource shortages and climate change factors. In this scenario, the role of the Society of Environmental Geochemistry is to work together within and across geochemical environments linked with the health of plants, animals, and humans to respond to multiple challenges and opportunities made by global warming.
Malaria is still a disease of massive burden in Africa, also influenced by climate change. The fluctuations and trends of the temperature and precipitation are well-known determinant factors influencing the disease’s vectors and incidence rates. This study provides a concise account of malaria trends. It describes the association between average temperature and malaria incidence rates (IR) in nine sub-Saharan African countries: Nigeria, Ethiopia, South Africa, Kenya, Uganda, Ghana, Mozambique, Zambia and Zimbabwe. The incidence of malaria can vary both in areas where the disease is already present, and in regions where it is present in low numbers or absent. The increased vulnerability to the disease under increasing average temperatures and humidity is due to the new optimal level for vector breeding in areas where vector populations and transmission are low, and populations are sensitive due to low acquired immunity. METHODS: A second source trend analysis was carried out of malaria cases and incidence rates (the number of new malaria cases per 1000 population at risk per year) with data from the World Health Organization (WHO) and average annual mean temperature from 2000 to 2018 from the World Bank’s Climate Change Knowledge Portal (CCKP). Additionally, descriptive epidemiological methods were used to describe the development and trends in the selected countries. Furthermore, MS Excel was chosen for data analysis and visualization. RESULTS: Findings obtained from this article align with the recent literature, highlighting a declining trend (20-80%) of malaria IR (incidence rate) from 2000 to 2018. However, malaria IR varies considerably, with high values in Uganda, Mozambique, Nigeria and Zambia, moderate values in Ghana, Zimbabwe, and Kenya, and low values in South Africa and Ethiopia in 2018. Evidence suggests varying IRs after average temperature fluctuations in several countries (e.g., Zimbabwe, Ethiopia). Also, an inverse temperature-IR relationship occurs, the sharp decrease of IR during 2012-2014 and 2000-2003, respectively, occurred with increasing average temperatures in Ghana and Nigeria. The decreasing trends and fluctuations, partly accompanying the temperature, should result from the intervention programmes and rainfall variability. The vulnerability and changing climate could arrest the recent trends of falling IR. CONCLUSION: Thus, malaria is still a crucial public health issue in sub-Saharan Africa, although a robust decreasing IR occurred in most studied countries.
BACKGROUND: The alarming increase in annual deforestation rates has had devastating consequences in climate change, and it is affecting Indigenous people, who depend entirely on the land for survival and has also weakened the rainforest’s crucial role in stabilizing the global climate. Recognizing and respecting Indigenous people’s needs and social, economic, and historical conditions influence health and healthcare. This study aimed to conduct online concept mapping workshops with university students to identify perceived important and feasible actions for improving the mental health of Indigenous people living in their territory in association with climate change. METHODS: Concept mapping, a participatory mixed methodology, was conducted virtually with 20 Indigenous students at two universities in Brazil. A focus prompt was developed from consultations with Indigenous stakeholders and read-“To improve the mental health of Indigenous peoples in their territory during climate change crises, it is necessary to….” RESULTS: University students organized 42 unique statements in 6 clusters that cover a wide range of topics: family support, 0.68 (SD 0.19); respect and understanding, 0.37 (SD 0.08); improvement actions, 0.52 (SD 0.07); public policies in favor of Indigenous people’s mental health, 0.24 (0.09); health actions, 0.15 (SD 0.08); Indigenous training in health and its importance in improving mental health 0.32 (SD 0.07). CONCLUSION: These clusters range from community initiatives, public policies, health actions, and strengthening professional services in Indigenous communities. These all provide numerous concrete ideas for developing interventions designed to address mental health challenges associated with climate change.
OBJECTIVE: As the greatest global challenge of our time, climate change is not only an ecological crisis but also a humanitarian one. Climate action is a defining opportunity to not only collectively mend ecological health and biodiversity but also to advance psychosocial resilience and social cohesion. This essay aims to understand the interconnectedness between climate change and mental health, as well as explore ways in which this can be transformed into a mobilising force. CONCLUSIONS: The ramifications of climate change on mental health are complex, and there continues to be expanding knowledge on this through research undertaken out of heightening urgency. With knowledge of this, global recovery will require meaningful and transformative action that addresses the interconnection between climate change, mental health, and social injustice.
Climate change plays a significant role in global health threats, particularly with respiratory diseases such as chronic obstructive pulmonary disease (COPD) and asthma, but the long-term global-scale impact of climate change on these diseases’ mortality remains unclear. OBJECTIVE: This study aims to investigate the impact of climate change on the age-standardized mortality rates (ASMR) of COPD and asthma at national levels. METHODS: We used Global Burden of Disease (GBD) data of ASMR of COPD and asthma from 2000 to 2018. The climate change index was represented as the deviance percentage of temperature (DPT) and relative humidity (DPRH), calculated based on 19-year temperature and humidity averages. Annual temperature, RH, and fine particulate matter (PM(2.5)) levels in 185 countries/regions were obtained from ERA5 and the OECD’s environmental statistics database. General linear mixed-effect regression models were used to examine the associations between climate change with the log of ASMR (LASMR) of COPD and asthma. RESULTS: After adjusting for annual PM(2.5), SDI level, smoking prevalence, and geographical regions, a 0.26% increase in DPT was associated with decreases of 0.016, 0.017, and 0.014 per 100,000 people in LASMR of COPD and 0.042, 0.046, and 0.040 per 100,000 people in LASMR of asthma for both genders, males, and females. A 2.68% increase in DPRH was associated with increases of 0.009 and 0.011 per 100,000 people in LASMR of COPD. We observed a negative association of DPT with LASMR for COPD in countries/regions with temperatures ranging from 3.8 to 29.9 °C and with LASMR for asthma ranging from -5.3-29.9 °C. However, we observed a positive association of DPRH with LASMR for both COPD and asthma in the RH range of 41.2-67.2%. CONCLUSION: Climate change adaptation and mitigation could be crucial in reducing the associated COPD and asthma mortality rates, particularly in regions most vulnerable to temperature and humidity fluctuations.
Climate change should be of special concern for the nephrologist, as the kidney has a critical role in protecting the host from dehydration, but it is also a favorite target of heat stress and dehydration. Here we discuss how rising temperatures and extreme heat events may affect the kidney. The most severe presentation of heat stress is heat stroke, which can result in severe electrolyte disturbance and both acute and chronic kidney disease (CKD). However, lesser levels of heat stress also have multiple effects, including exacerbating kidney disease and precipitating cardiovascular events in subjects with established kidney disease. Heat stress can also increase the risk for kidney stones, cause multiple electrolyte abnormalities and induce both acute and chronic kidney disease. Recently there have been multiple epidemics of CKD of uncertain etiology in various regions of the world, including Mesoamerica, Sri Lanka, India and Thailand. There is increasing evidence that climate change and heat stress may play a contributory role in these conditions, although other causes, including toxins, could also be involved. As climate change worsens, the nephrologist should prepare for an increase in diseases associated with heat stress and dehydration.
Climate change may be the most pressing existential threat to human health and wellbeing in the twenty first century. In this paper, the authors provide context and critique on barriers to climate action in the United States and other high-income countries, including the profit-driven approach to health, consumerism, and the climate change countermovement. The reciprocal connections between occupational engagement and climate damage are examined from a lens of collective and irresponsible occupations and subsequent accountability. The authors propose the United Nations’ Sustainable Development Goals as a basis for recommendations occupational therapy practitioners could implement within the priorities of adaptation, mitigation, and resilience.
Climate change is impacting the lives of millions around the world and exacerbating exist-ing challenges in healthcare globally. Although Africa contributes only 2%-3% of global greenhouse gas emissions, it suffers a disproportionate share of the environmental impact. High-income countries dominate the global discourse on climate change, while their con-tinued utilisation of extractive policies exacerbates climate hazards and impacts economies in regions not responsible for the damage. Cancer is on the rise and constitutes a significant public health burden in low-and middle-income countries, yet little is known about the impact of climate change on oncology nursing on the African continent. To address the ways that climate change is exacerbating existing challenges and adding new difficulties for oncology care, it is essential that the expertise of professionals working in settings that are most impacted by the threats of climate change is amplified if climate crisis risks are to be effectively mitigated. Seven African oncology nurses from across sub-Saharan Africa were reflexively interviewed by voice over internet protocol (VOIP) in English to learn about their understanding of climate change and experiences with its impact on nursing care. Using a conceptual framework to map the impact of climate change on health and considering the vulnerability and social capacity of patients with cancer, our findings show how exist-ing challenges to oncology nursing care are exacerbated by climate change on the conti-nent. Food insecurity, national economic dependency on the agricultural sector, economic inequality, social vulnerability and isolation, transportation challenges, and the immuno-compromised status of patients with cancer are all key concerns for oncology nurses in this context. We also present the nurses’ specific recommendations for governments, hospi-tal authorities, and oncology nurses regarding climate change mitigation, adaptation, and event response strategies. With this work, we aim to lay a foundation for further investiga-tion and action to mitigate the oncoming challenges of climate disaster for oncology nurses across sub-Saharan Africa and the patients and families they care for.
Pavement burns are more common in locations familiarised with high temperatures and a dry climate zone, but have not previously been reported in temperate climates. We present two cases of patients who suffered pavement burns in the United Kingdom during an unprecedentedly hot day in July 2022. The first case involved a 66-year-old male who suffered partial and full thickness burns requiring excision and skin grafting. The second case involved a 58-year-old female with partial thickness burns also requiring excision and skin grafting. Both patients had pre-existing co-morbidities and their pavement burns were precipitated by heat stroke. Pavement burns represent a mechanism of injury that necessitates increased operative management, length of hospital stay and cost per surface area burned when compared to flame or scald burns (Silver et al., 2015). As a result of global warming, we anticipate extreme heat events, and subsequently pavement burns, to increase in incidence in the United Kingdom. There is opportunity for education of the public and health professionals for prevention.
Gaseous emissions have contributed to global warming, an increase in the frequency of extreme weather events and poorer air quality. The associated health impacts have been well reported in temperate regions. In Singapore, key climate change adaptation measures and activities include coastal and flood protection, and mitigating heat impacts. We systematically reviewed studies examining climate variability and air quality with population health in Singapore, a tropical city-state in South-East Asia (SEA), with the aim to identify evidence gaps for policymakers. We included 14 studies with respiratory illnesses, cardiovascular outcomes, foodborne disease and dengue. Absolute humidity (3 studies) and rainfall (2 studies) were positively associated with adverse health. Extreme heat (2 studies) was inversely associated with adverse health. The effects of mean ambient temperature and relative humidity on adverse health were inconsistent. Nitrogen dioxide and ozone were positively associated with adverse health. Climate variability and air quality may have disease-specific, differing directions of effect in Singapore. Additional high quality studies are required to strengthen the evidence for policymaking. Research on effective climate action advocacy and adaptation measures for community activities should be strengthened. FUNDING: There was no funding source for this study.
Climate change has forced the world into a state of emergency, but the urgency can also become an oppor-tunity to strengthen the focus on sustainable development and reduce social vulnerability. For developing economies, the first and foremost challenge regarding climate change is to address the knowledge gap on sustainable development and vul-nerability. Besides this, evidence-based inputs are needed for the policies and programs that intend to enhance the adaptive capacity and social capital from the gender perspective in comparatively more disaster-prone districts of the country. The environmental impact in terms of socioeconomic conditions specifically pertaining to rural areas of Pakistan cannot be ig-nored. Natural events such as floods and droughts have raised the question of the social and socioeconomic vulnerability of the rural communities. This paper is an attempt toward understanding that everyone who is affected will be impacted differ-ently by climate change both within the same gender and between different genders, including gender minorities. In addition, an attempt is made to identify the drivers of gender-disaggregated social vulnerability in selected disaster-prone rural commu-nities of the district of Dadu, Sindh Province, Pakistan. Both quantitative and qualitative techniques are employed to examine the differences in gender perception on climate change, experiences related to climate change, disasters, and impacts on their lives. Women and households headed by them are found to be relatively more vulnerable due to their socioeconomic and social status in the rural areas of Pakistan. The paper gives policy directives that not only address the measures for reduction in climate change impacts but also suggest the development of effective disaster management programs, policies, and strategies.
The climate of the Earth has changed throughout history. Climate change negatively impacts human rights in a wide range of ways. The study aims to find out the impact of climate change on aging health in developing countries. The study found that public health will be devastated if climate change continues unabated. Countries that are least responsible for global warming are most susceptible to the effects of higher temperatures, such as death and disease. In low- and middle-income countries, disasters are more likely to happen to people aged 60 and over. Although climate change affects all of us, older people are especially at risk from it, as evidenced by a growing body of research. The study also offers countermeasures and suggestions to develop aging health in developing countries affected by climate change.
The climate crisis is a major public health threat for children, disproportionately affecting the most vulnerable populations. Climate change causes a myriad of health issues for children, including respiratory illness, heat stress, infectious disease, the effects of weather-related disasters, and psychological sequelae. Pediatric clinicians must identify and address these issues in the clinical setting. Strong advocacy from pediatric clinicians is needed to help prevent the worst effects of the climate crisis and to support the elimination of use of fossil fuels and enactment of climate-friendly policies.
A review of the extant literature reveals the extent to which the spread of communicable diseases will be significantly impacted by climate change. Specific research into how this will likely be observed in the countries of the Gulf Cooperation Council (GCC) is, however, greatly lacking. This report summarises the unique public health challenges faced by the GCC countries in the coming century, and outlines the need for greater investment in public health research and disease surveillance to better forecast the imminent epidemiological landscape. Significant data gaps currently exist regarding vector occurrence, spatial climate measures, and communicable disease case counts in the GCC – presenting an immediate research priority for the region. We outline policy work necessary to strengthen public health interventions, and to facilitate evidence-driven mitigation strategies. Such research will require a transdisciplinary approach, utilising existing cross-border public health initiatives, to ensure that such investigations are well-targeted and effectively communicated.
Human epigenetic variation is associated with both environmental exposures and allergic diseases and can potentially serve as a biomarker connecting climate change with allergy and airway diseases. In this narrative review, we summarize recent human epigenetic studies examining exposure to temperature, precipitation, extreme weather events, and malnutrition to discuss findings as they relate to allergic and airway diseases. Temperature has been the most widely studied exposure, with the studies implicating both short-term and long-term exposures with epigenetic alterations and epigenetic aging. Few studies have examined natural disasters or extreme weather events. The studies available have reported differential DNA methylation of multiple genes and pathways, some of which were previously associated with asthma or allergy. Few studies have integrated climate-related events, epigenetic biomarkers, and allergic disease together. Prospective longitudinal studies are needed along with the collection of target tissues beyond blood samples, such as nasal and skin cells. Finally, global collaboration to increase diverse representation of study participants, particularly those most affected by climate injustice, as well as strengthen replication, validation, and harmonization of measurements will be needed to elucidate the impacts of climate change on the human epigenome.
BACKGROUND: The discourse on climate justice has developed from the theoretical approaches and discussions on environmental justice. A central tenet of the concept of environmental and climate justice is that environmental and climate issues cannot be seen in isolation from issues of social justice. METHODS: A conceptual model was developed on the relationship between climate change impacts, social dimensions, adaptive capacities, biological sensitivity, and health equity in order to systematically analyse climate justice. Based on an exploratory literature review and the evaluation of the individual contributions of the status report on climate change and health, the evidence in Germany on social inequalities in exposure to climate change impacts and vulnerability to their direct and indirect health effects was summarised. RESULTS: This paper provides an overview of the international debate and examples of evidence on climate justice in Germany. Climate justice in the sense of avoidable, unjust social inequalities in exposure, vulnerability, and the effects of climate mitigation and adaptation measures on health inequalities is still insufficiently addressed in Germany. CONCLUSIONS: A consistent integration of equity issues into climate policy is necessary. With reference to the international literature, options for action and research needs are identified.
OBJECTIVE: Climate change is a key threat to human health worldwide. Accordingly, medical education should prepare future physicians for climate-associated hazards and corresponding professional challenges. Currently, this is not yet implemented across the board. The aim of this review is to present (I) the knowledge and (II) the attitudes of medical students and physicians towards climate change and (III) the expectations of medical education as formulated by medical students. In addition, the available literature will be used to look at (IV) global teaching activities, (V) international learning goals and learning goal catalogues, and (VI) applied teaching methods and formats. This review should simplify and, considering the urgency of the topic, accelerate the design of future teaching activities. METHODOLOGY: The paper is based on a selective literature search supplemented by a topic-guided internet search. RESULTS: Knowledge about the causes and concrete health consequences of climate change seems to be incomplete. The majority of medical students consider human health to be at risk from climate change and the health sector to be inadequately prepared. A majority of surveyed medical students would like to see teaching about climate change. It is evident that internationally, teaching projects on climate change and climate health, as well as topic-specific learning objectives and learning goal catalogues, have been developed and integrated into medical education. CONCLUSION: There is a need for and acceptance of teaching climate change in the medical curriculum. This literature review can assist in the development and implementation of new teaching formats.
Taking into account the adverse impacts of climate change on human health, the importance of increasing knowledge and gaining essential skills is necessary to mitigate and adapt to its impacts and protect human health. Researchers and experts are urging for more research in the climate-health nexus, as well as calling for efforts that establish climate and health educational goals. They encourage the development of agreed upon, articulated science-based curricula and resources addressing climate-health issues. This review aims to map out the current state of integration of climate change education in school-based education across the world and identify the human health topics included. Furthermore, it aims to explore the extents to which levels of prevention and health co-benefits of climate mitigation and adaptation are covered within the framework of school-based climate change education. Five electronic databases will be searched for peer reviewed articles in English, from year 2000-to May 2022. The findings from the study will be useful to school curricula developers looking to expand climate change education. This review will also highlight potential research gaps in education on climate change-related health in schools. The scoping review was preregistered with the Open Science Framework [registration DOI: https://doi.org/10.17605/OSF.IO/8U5GK].
Climate change is the most urgent and significant public health risk facing the globe. In Australia, it has been identified that Environmental Health Officers/Practitioners (EHOs/EHPs, hereafter EHOs) are a currently underutilized source of knowledge and skills that can contribute to climate change adaptation planning at the local government level. The ability of local government EHOs to utilize their local knowledge and skills in human health risk assessment during a public health emergency was demonstrated through their role in the response to COVID-19. This study used a survey and follow up interviews to examine the roles and responsibilities of EHOs during the COVID-19 pandemic and used the results to examine the potential of the workforce to tackle climate change and health related issues. What worked well, what regulatory tools were helpful, how interagency collaboration worked and what barriers or hindering factors existed were also explored. A workforce review of EHOs in South Australia was also undertaken to identify current and future challenges facing EHOs and their capacity to assist in climate change preparedness. The findings demonstrated that the workforce was used in the response to COVID-19 for varying roles by councils, including in education and communication (both internally and externally) as well as monitoring and reporting compliance with directions. Notably, half the workforce believed they could have been better utilized, and the other half thought they were well utilized. The South Australian Local Government Functional Support Group (LGFSG) was praised by the workforce for a successful approach in coordinating multiagency responses and communicating directions in a timely fashion. These lessons learnt from the COVID-19 pandemic should be incorporated into climate change adaptation planning. To ensure consistent messaging and a consolidated information repository, a centralized group should be used to coordinate local government climate change adaptation plans in relation to environmental health and be included in all future emergency management response plans. The surveyed EHOs identified environmental health issues associated with climate change as the most significant future challenge; however, concerningly, participants believe that a lack of adequate resourcing, leading to workforce shortages, increasing workloads and a lack of support, is negatively impacting the workforce’s preparedness to deal with these emerging issues. It was suggested that the misperception of environmental health and a failure to recognize its value has resulted in a unique dilemma where EHOs and their councils find themselves caught between managing current workload demands and issues, and endeavouring to prepare, as a priority, for emerging environmental health issues associated with climate change and insufficient resources.
Climate protection is a global public good. The related mitigation policies implemented by a single country could have little effect on climate change issue such that there could be no net gains for society. However, those measures might create winners and losers among individuals. We investigate the citizens’ support for different pro-climate policies in EU countries, by considering the degree of heterogeneity in their attitudes towards climate issues using a cluster analysis. We also exploit the extent to which carbon intensity and green skills requirement of jobs contribute to supporting climate policies. Our results suggest that individuals’ occupational exposure does matter: people in emission-intensive activities tend to be against stringent climate measures, whereas people in jobs that require high levels of green skills are in favour of them.
Although classic heat stroke (HS) is one of the most ancient conditions known to humans, the description of its early clinical manifestations, natural course, and complications remains uncertain. OBJECTIVES: A systematic review of the demographics, clinical characteristics, biomarkers, therapy, and outcomes of HS during the Muslim (Hajj) pilgrimage in the desert climate of Mecca, Saudi Arabia. METHODS: We searched the MEDLINE, Embase, Web of Science Core Collection, SCOPUS, and CINAHL databases from inception to April 2022. We summarized the data from eligible studies and synthesized them in narrative form using pooled descriptive statistics. RESULTS: Forty-four studies, including 2632 patients with HS, met the inclusion criteria. Overweight or obesity, diabetes, and cardiovascular disease were prevalent among cases of HS. Evidence suggests that extreme hyperthermia (pooled mean = 42.0°C [95% confidence interval (CI): 41.9, 42.1], range 40-44.8°C) with hot and dry skin (>99% of cases) and severe loss of consciousness (mean Glasgow Coma Scale <8 in 53.8% of cases) were the dominant clinical characteristics of classic HS. Hypotension, tachypnea, vomiting, diarrhea, and biochemical biomarkers indicating mild-to-moderate rhabdomyolysis, acute kidney, liver, heart injury, and coagulopathy were frequent at the onset. Concomitantly, stress hormones (cortisol and catecholamines) and biomarkers of systemic inflammation and coagulation activation were increased. HS was fatal in 1 in 18 cases (pooled case fatality rate = 5.6% [95%CI: 4.6, 6.5]). CONCLUSIONS: The findings of this review suggest that HS induces an early multiorgan injury that can progress rapidly to organ failure, culminating in death, if it is not recognized and treated promptly.
Climate change, attributable to human activity, is increasingly contributing to a global health crisis. The scale, nature and timing of adverse effects on physical and mental health, via direct and indirect pathways, vary within and between regions but there are common challenges that can be tackled by better integrated mitigation and adaptation actions. The actions described in this paper would have benefits for health if appropriately implemented, both by reducing the health risks of climate change and from the ancillary (co-)benefits of mitigation such as from reduced air pollution as a result of phasing out fossil fuels. There are unprecedented health threats from climate change but also unprecedented opportunities to use scientific knowledge to inform policy and practice. Much can be done now to use the evidence already available to effect rapid and decisive action as well as generating new evidence to support effective policy development and implementation. This paper draws on an inter-regional, inclusive, project by the InterAcademy Partnership, the global network of more than 140 academies of science, engineering and medicine, to summarise evidence available worldwide in order to help inform options for policy making. A particular focus is on clarifying climate change mitigation and adaptation solutions and their implementation for the benefit of the most vulnerable groups. The present authors actively participated in managing this project which encouraged academies to capture diverse impacts and policy options by evaluating and synthesising evidence from their own countries to inform policy for collective and customised action at national, regional and global levels. Using a systems-based approach, recommendations from the project in this publication are transdisciplinary and multisectoral. Despite the accumulating evidence, protecting and improving human health have not yet become major focal points in global climate change policy discussions. Drawing on the IAP project outputs, we strongly recommend that health and health equity must now come to the foreground, accompanied by much greater allocation of climate finance to health-related programmes.
The role of climate in the Coronavirus disease 2019 (COVID-19) transmission appears to be controversial, as reported in earlier studies. In Africa, the subject is poorly documented. In this study, over the period from January 1st, 2020 to September 31, 2022, the daily variations in cumulative confirmed cases of COVID-19 for each African country (54 countries) are modelled through time-series-based approaches and using meteorological factors as covariates. It is suggested from the findings that climate plays a role in COVID-19 transmission since at least one meteorological factor is found to be significant in 32 countries. In decreasing order, the most often occurring meteorological factors are dewpoint temperature, relative and absolute humidity, average temperature and solar radiation. Most of these factors show a lagged effect with confirmed cases (between 0 and 28 days). Also, some meteorological factors exhibit contrasting effects on COVID-19 transmission, resulting in both positive and negative association with cumulative cases, therefore highlighting the complex nature of the interplay between climate and COVID-19 transmission.
Climate and environmental changes have been described as the biggest global health threat of the 21st century, with the potential to cause immediate harm in early life with important lifelong effects, and important consequences for future generations. Pregnant women and children are increasingly being recognized as vulnerable populations in the context of climate change. The effects can be direct or indirect through heat stress, extreme weather events, and air pollution, potentially affecting both the immediate and long-term health of pregnant women and newborns through a broad range of mechanisms. Climate and environmental changes have wide-ranging effects on a woman’s reproductive life including sexual maturation and fertility, pregnancy outcomes, lactation, breastfeeding, and menopause. A comprehensive overview of these impacts is presented as well as opportunities for interventions for nurses practicing in perinatal, neonatal, midwifery, and pediatric specialties.
One line of enquiry in demographic research assesses whether climate affects fertility. We extend this literature by examining the ramifications of climate conditions on fertility over a period of public health crisis in a highly unequal, urban middle-income country. We use monthly data for Brazil’s 5,564 municipalities and apply spatial fixed-effects models to account for unobserved municipal heterogeneity and spatial dependence. Findings suggest that increases in temperature and precipitation are associated with declines in births. We also show that changes in response to climate conditions became greater during the Zika epidemic, particularly in urban areas. Combined, findings highlight the value of understanding the intersections between climate and fertility across geographic boundaries and during this public health crisis. Epidemics have become more important in people’s lives with the recurring emergence of novel infectious disease threats, such as Zika and COVID-19.
Climate change is a reality in the Caribbean and its effects are already harming health, yet the health workforce capacity to implement climate mitigation and adaptation measures is lacking. From March-May of 2022, a free, live-virtual, evidence and competency based 10-week climate and health course targeted toward health risks in the Caribbean was deployed to: (1) increase communication about climate and health, (2) equip health professionals with knowledge and skills that could be readily incorporated into practice, and (3) engage health professionals with climate and health initiatives within their communities. Participants in this course came from 37 countries, 10 different health-related fields, and five different general places of work. Longitudinal surveys revealed significant changes in health professional communication, engagement and application of climate and health knowledge and skills. Live-virtual, evidence and competency-based courses, regional-specific courses have the potential to change health professional behaviors toward addressing climate impacts on health.
The climate-health nexus is well documented in the field of biometeorology. Since its inception, Biometeorology has in many ways become the umbrella under which much of this collaborative research has been conducted. Whilst a range of review papers have considered the development of biometeorological research and its coverage in this journal, and a few have reviewed the literature on specific diseases, none have focused on the sub-field of climate and health as a whole. Since its first issue in 1957, the International Journal of Biometeorology has published a total of 2183 papers that broadly consider human health and its relationship with climate. In this review, we identify a total of 180 (8.3%, n = 2183) of these papers that specifically focus on the intersection between meteorological variables and specific, named diagnosable diseases, and explore the publication trends thereof. The number of publications on climate and health in the journal increases considerably since 2011. The largest number of publications on the topic was in 2017 (18) followed by 2021 (17). Of the 180 studies conducted, respiratory diseases accounted for 37.2% of the publications, cardiovascular disease 17%, and cerebrovascular disease 11.1%. The literature on climate and health in the journal is dominated by studies from the global North, with a particular focus on Asia and Europe. Only 2.2% and 8.3% of these studies explore empirical evidence from the African continent and South America respectively. These findings highlight the importance of continued research on climate and human health, especially in low- and lower-middle-income countries, the populations of which are more vulnerable to climate-sensitive illnesses.
INTRODUCTION: There is increasing recognition of the mental health burden of climate change and the effects on general well-being, even in those who have not (yet) experienced direct impacts. Climate anxiety, which is prominent among young people in particular, describes a state of heightened distress about the (future) effects of climate change. Despite evidence of a link between engagement in climate change issues and heightened climate anxiety, there is a dearth of knowledge on how this affects emerging professionals preparing for careers in the environmental sector. Furthermore, there is a paucity of literature regarding the extent to which young adults are coping with their thoughts and feelings about climate change, and the extent to which they consider climate change in making future plans. METHODS: The aim of this study was to understand the occurrence and personal management of climate anxiety in UK university students through an online questionnaire. This study was the first to investigate the association between climate anxiety, coping strategies and future planning in university students. RESULTS AND DISCUSSION: Environmental degree students (n = 249) reported greater levels of climate anxiety, more frequent employment of all three examined coping strategies and in particular considered climate change as a factor in their career plans, as compared to their non-environmental degree counterparts (n = 224). Problem-focused coping was the most commonly endorsed strategy, although the prior literature on coping suggests that this may not be sustainable for individually intractable problems. Highly climate-anxious students were more likely to consider climate change in all five decision-making domains, including family planning, long-term habitation, career, financial and travel decisions. This study has identified a need to communicate effective climate anxiety coping strategies to environmental practitioners, university students and educators. Additional research is required to validate the study findings and investigate what motivates students to incorporate climate change into future plans.
Climate anxiety refers to persistent, difficult-to-control apprehensiveness and worry about climate change. Research to better understand the prevalence, indicators, causes, and consequences of climate anxiety is needed, to which emotion researchers can make substantial contributions. First, emotion theory can inform an integrative and functional theory of climate anxiety, mapping interactions between its cognitive, emotional, behavioural, and physiological indicators. Second, appraisal theories can help to understand the reasons why people experience climate anxiety. Third, emotion researchers can contribute to theorizing when climate anxiety motivates climate action, accounting for non-linearity, interactions with other emotions and cognitions, and temporal dynamics. Fourth, emotion researchers can contribute to developing strategies to cope with climate anxiety, for example, by building on emotion regulation theory.
OBJECTIVES: The impact of climate change on mental health is well established, but few studies have examined the perspectives of young people, especially in low- and middle-income countries (LMICs). In this qualitative study, we explored how Brazilian children and adolescents experience climate change. This approach can help inform environmental education, communication, and self-care strategies for this age group. METHODS: We conducted focus groups with 50 children and adolescents aged 5 to 18 years in three locations in Brazil. We analyzed the data using an interpretative phenomenological analysis framework. RESULTS: We identified three profiles of involvement with climate change: unaware, disengaged, and engaged. Profiles were largely related to different socioeconomic contexts. We analyzed each profile across the dimensions of space, time, emotions, and actions. Adults were portrayed by participants as stubborn deniers, as neutral influences, or as role models of knowledge and engagement. Due to their age and developmental level, young children had distinctive perceptions of climate change. CONCLUSION: Spatial and temporal perceptions of climate change are a key element for experiencing and engaging with environmental concerns and vary according to age and socioeconomic differences. Effective communication to foster climate action at individual and collective levels requires narratives that reach different ages. Replication of these findings in other LMICs is warranted.
Over the past 20 years, an increasing number of empirical research conducted aims to understand climate change adaptation among Indigenous groups. Despite the increased scholarly interest, a comprehensive understanding of empirical adaptation research trends across various continents and disciplines is noticeably absent from the literature. Thus, this article systematically assesses the state of empirical adaptation literature involving Indigenous peoples globally. Using Scopus and the Web of Science, we analyzed 140 peer-reviewed journal articles, identifying two main trends-research attributes and themes of adaptation. Research attributes identified include publication year, research location, and methods. Our results show that studies are increasing in number each year, primarily in Africa, Asia, and North America, and primarily use qualitative methods. Synthesizing research attributes informs how scholars engage with adaptation research involving Indigenous peoples. Thematic analysis results show that articles mainly focused on four themes of adaptation, including adaptation strategies, drivers, barriers, and adaptation process approaches. The most prominent sub-theme of adaptation strategies was agricultural practices, adaptation drivers were Indigenous knowledge and traditions, and adaptation barriers were governance barriers. Adaptation process approaches sub-themes included holistic approaches to adaptation, local collaboration, and knowledge integration in adaptation. Identifying themes of adaptation contributes to the body of knowledge and practical application by informing adaptation plans, investment, and policy. This analysis points to the need for: (1) researchers to conduct additional studies in the Pacific Islands and Central and South America, where increased vulnerability emphasizes the importance of adaptation; (2) researchers to expand sectors included in studies, such as health and cultural adaptation; (3) researchers and practitioners to employ participatory methods; and (4) researchers and practitioners to situate adaptation in the context of colonization.
Climate change looms, with many communities already suffering from worsening impacts. Despite ample research into how to adapt, attempts have been slow and often inadequate in practice. As exposure to climate impacts magnifies, we ask: Why are communities underprepared? Adaptations often consist of fractured, reac-tionary attempts to address physical exposure through hard infrastructure measures. While these measures do advance short-term economic political priorities, they fall short of addressing the interwoven origins of climate change vulnerability. Unfortunately, climate vulnerability is not solely a physical process, but a social one as well, requiring planning through a long-term holistic approach. Yet, planners, ethically obligated to promote public well-being, are denied the authority to act – enabling existing infrastructure and governance systems to justify inequality for profit. The socio-political status quo, through defensive discretion and public coercion, enables political leadership to evade responsibility for safeguarding public well-being and, instead, prioritize short-term economic goals. By exploring the impact of short-term political priorities on adaptation policy, we find that a complex system of justification disregards public well-being, preventing effective adaptation. Future research on climate policy needs to explore how socio-political forces impact adaptation, and, in this way, equitably protect the well-being of communities.
Climate change is an increasingly important theme in Africa, where a large majority of its people depend on livestock and agricultural activities for livelihood. Concurrently, the topic of health of migrants and people on the move is rapidly raising both in the health debate and migration governance agenda in the Region. The link with climate change from the perspective of health and migration experts needs to be systematically addressed. OBJECTIVES: The article aims to contribute to the discourse on the interrelation of climate change, migration, and health by providing contributions of experts in the field of health and migration directly working with migrant and refugee communities in Africa. METHODS: A webinar was conducted to collect and discuss first-hand experience with 25 participants from a postgraduate online course on health and migration funded by the Austrian Government and implemented in a co-operation of the Center for Health and Migration, Austria, with Makerere University, Uganda, the International Organization for Migration – UN Migration, and Lancet-Migration. As a result from the discussions, two cases from Sudan and Zimbabwe were selected to be further analysed with desk research to illustrate and underpin the points made. RESULTS: All webinar participants reported to encounter climate change effects on health and migration in their professional practice. In their experience, climate change aggravates issues of health and migration by fueling forced migration and displacement, increasing health care needs, and deteriorating access to health care. Specific health challenges were identified for mental health problems caused by effects of climate change-induced migration, which remain widely undiagnosed and untreated, and the special affectedness of women and girls, with their mental, sexual and reproductive health severely deteriorated in insecure environments. The case studies from Sudan and Zimbabwe underline these observations. CONCLUSIONS: The interplay of effects of climate change, (internal) migration, and health is reported by a community of experts in the field of health and migration who are residing in Africa and working with migrant communities. Webinars prove to be an easy to implement tool to collect first hand evidence from practice experts, to foster exchange of experiences, and to get people engaged in further collaboration and discussion.
Climate change misinformation leads to significant adverse impacts and has become a global concern. Identifying misinformation and investigating its characteristics are of great importance to counteract misinformation. Therefore, this study aims to characterize the semantic features (frames and authority references) of climate change misinformation in the context of Chinese social media. Posts concerning climate change were collected from Weibo between January 2010 and December 2020. First, veracity, frames, and authority references were manually labeled. Then, we applied logistic regression to examine the relationship between information veracity and semantic features. The results revealed that posts concerning environmental and health impact and science and technology were more likely to be misinformation. Moreover, posts referencing non-specific authority sources are more likely to be misinformed than posts making no references to any authority references. This study provides a theoretical understanding of the semantic characteristics of climate change misinformation and practical suggestions for combating them.
The mobilisation of potentially harmful chemical constituents in wildfire ash can be a major consequence of wildfires, posing widespread societal risks. Knowledge of wildfire ash chemical composition is crucial to anticipate and mitigate these risks. Here we present a comprehensive dataset on the chemical characteristics of a wide range of wildfire ashes (42 types and a total of 148 samples) from wildfires across the globe and examine their potential societal and environmental implications. An extensive review of studies analysing chemical composition in ash was also performed to complement and compare our ash dataset. Most ashes in our dataset had an alkaline reaction (mean pH 8.8, ranging between 6 and 11.2). Important constituents of wildfire ash were organic carbon (mean: 204 g kg(-1)), calcium, aluminium, and iron (mean: 47.9, 17.9 and 17.1 g kg(-1)). Mean nitrogen and phosphorus ranged between 1 and 25 g kg(-1), and between 0.2 and 9.9 g kg(-1), respectively. The largest concentrations of metals of concern for human and ecosystem health were observed for manganese (mean: 1488 mg kg(-1); three ecosystems > 1000 mg kg(-1)), zinc (mean: 181 mg kg(-1); two ecosystems > 500 mg kg(-1)) and lead (mean: 66.9 mg kg(-1); two ecosystems > 200 mg kg(-1)). Burn severity and sampling timing were key factors influencing ash chemical characteristics like pH, carbon and nitrogen concentrations. The highest readily dissolvable fractions (as a % of ash dry weight) in water were observed for sodium (18 %) and magnesium (11.4 %). Although concentrations of elements of concern were very close to, or exceeded international contamination standards in some ashes, the actual effect of ash will depend on factors like ash loads and the dilution into environmental matrices such as water, soil and sediment. Our approach can serve as an initial methodological standardisation of wildfire ash sampling and chemical analysis protocols.
Chikungunya virus is widespread throughout the tropics, where it causes recurrent outbreaks of chikungunya fever. In recent years, outbreaks have afflicted populations in East and Central Africa, South America and Southeast Asia. The virus is transmitted by Aedes aegypti and Aedes albopictus mosquitoes. Chikungunya fever is characterized by severe arthralgia and myalgia that can persist for years and have considerable detrimental effects on health, quality of life and economic productivity. The effects of climate change as well as increased globalization of commerce and travel have led to growth of the habitat of Aedes mosquitoes. As a result, increasing numbers of people will be at risk of chikungunya fever in the coming years. In the absence of specific antiviral treatments and with vaccines still in development, surveillance and vector control are essential to suppress re-emergence and epidemics.
Rationale for review Chikungunya outbreaks continue to occur, with changing epidemiology. Awareness about chikungunya is low both among the at-risk travellers and healthcare professionals, which can result in underdiagnosis and underreporting. This review aims to improve awareness among healthcare professionals regarding the risks of chikungunya for travellers. Key findings Chikungunya virus transmission to humans occurs mainly via daytime-active mosquitoes, Aedes aegypti and Aedes albopictus. The areas where these mosquitoes live is continuously expanding, partly due to climate changes. Chikungunya is characterized by an acute onset of fever with joint pain. These symptoms generally resolve within 1-3 weeks, but at least one-third of the patients suffer from debilitating rheumatologic symptoms for months to years. Large outbreaks in changing regions of the world since the turn of the 21st century (e.g. Caribbean, La Reunion; currently Brazil, India) have resulted in growing numbers of travellers importing chikungunya, mainly to Europe and North America. Viremic travellers with chikungunya infection have seeded chikungunya clusters (France, United States of America) and outbreaks (Italy in 2007 and 2017) in non-endemic countries where Ae. albopictus mosquitoes are present. Community preventive measures are important to prevent disease transmission by mosquitoes. Individual preventive options are limited to personal protection measures against mosquito bites, particularly the daytime-active mosquitos that transmit the chikungunya virus. Candidate vaccines are on the horizon and regulatory authorities will need to assess environmental and host risk factors for persistent sequelae, such as obesity, age (over 40 years) and history of arthritis or inflammatory rheumatologic disease to determine which populations should be targeted for these chikungunya vaccines. Conclusions/recommendations Travellers planning to visit destinations with active CHIKV circulation should be advised about the risk for chikungunya, prevention strategies, the disease manifestations, possible chronic rheumatologic sequelae and, if symptomatic, seek medical evaluation and report potential exposures.
A narrative review was conducted on research surrounding children’s and adolescents’ experiences of emotional and mental health and wellbeing in relation to climate change; we also explored potential connections to existential themes. RECENT FINDINGS: Children and adolescents represent a vulnerable group in relation to experiencing negative mental health impacts due to climate change. Further, this population experiences a wide range of emotions in relation to climate change, with most research reporting on worry and anxiety. Several studies that explored associations between such emotions and mental health outcomes found positive associations. Additionally, research suggests that there is an existential underpinning to how climate change is experienced by children and adolescents. Although important contributions have been made in recent years, knowledge gaps remain. An understanding of the psychological responses children and adolescents have in relation to climate change is needed to inform practice and policy. This may be supported by an existential framework.
An extensive social science literature has examined the effects of climate change on human migration. Prior studies have focused largely on the out-migration of working age adults or entire households, with less attention to migration and other forms of geographic mobility among other age groups, including youth. In this study, we focus on the implications of climate variability for the movement of children by examining the association between climate exposures and the in- and out-fostering of children in sub-Saharan Africa. We link high-resolution temperature and precipitation records to data from the Demographic and Health Surveys for 23 sub-Saharan African countries. We fit a series of regression models to measure the overall associations between climate exposures and each outcome and then evaluate whether these associations are moderated by socioeconomic status, the number of children in the household, and the prevalence of fostering in each country. Precipitation is positively associated with in-fostering overall, and these effects are especially strong among households that already have at least one child and in countries where child fostering is common. We find no overall relationship between either temperature or precipitation exposures and out-fostering, but we do detect significant effects among households with many children and those with more educated heads. In sum, our findings suggest that climate variability can influence child mobility, albeit in complex and in some cases context-specific ways. Given the socioeconomic and health implications of fostering, these results underline another pathway through which climate exposures can affect children’s well-being. More broadly, this study shows that new attention to the links between climate variability, child fostering, and other understudied forms of spatial mobility is needed to fully understand the effects of climate change on human populations.
Migration is a present and pressing global phenomenon, as climate change and political instability continue to rise, more populations will be forced to relocate. Efficient strategies must be in place to aid the transition of vulnerable populations – such as children – and strategic interventions designed based on an understanding of their particular needs and risks. AIM OF THE REVIEW: This article reviewed recent research regarding the mental health of migrant children identifying a wide array of common characteristics to their emotional and behavioral responses following a migration, and compiled an extensive list of protective and risk factors. 48 studies were selected from Proquest, WOS, SCOPUS, and Pubpsych published between 2015 and 2022 covering studies of children around the world. FINDINGS: The migration-related factors that most negatively impacted children’s mental health were experiences such as discrimination, loss of access to governmental and educational resources, premigration trauma, loss of community, cultural distance and acculturation, the burden on the family unit, and socioeconomic difficulties. Thus, with the right interventions and policy changes, it is possible to make migration a non-traumatic experience in order to avoid the common emergence of depressive symptoms, PTSS (post-traumatic stress symptoms), anxiety, and other mental health issues. Supporting the family unit’s transition, encouraging peer connections, and directing government aid to expedite resources upon arrival will serve as protective factors for children while they integrate into their new environment.
PURPOSE OF REVIEW: This review aims to synthesize currently available literature regarding the impact of wildfire on mental health, specifically the psychological reactions of children to wildfires. The information gathered from this review will help health experts understand and address the mental health needs of children during wildfire disasters and may serve as a base for future studies to evaluate evidence-based public health responses to mitigate adverse outcomes. RECENT FINDINGS: The results identified post-traumatic stress disorder (PTSD), anxiety, depression, stress, alcohol/substance misuse, hopelessness, low resilience, reduced quality of life, and self-esteem as the psychological conditions manifesting in children and adolescent post-wildfire disaster. PTSD was the most evaluated psychological reaction in the participants (7 out of eight studies). This review highlights that deleterious mental health effects, such as PTSD, depression, anxiety, and suicidality, can persist in children for years post-wildfire disaster. Factors such as gender, direct exposure to the wildfire, re-traumatization, and resilience informed or ameliorated the severity of the impact of wildfire on children and adolescents. Our findings further emphasize the need for multi-year funding and programs to support children and adolescents’ mental health, including children with disabilities in the communities that have experienced wildfire disasters.
Food is a basic human requirement which sustains the dynamics of the Earth’s inhabitants by satisfying hunger, providing nutrition and health, and catering to culture, tradition, and lifestyle. However, the rising global population coupled with climate change including calamities, diseases, conflicts, as well as poor agricultural practices put a huge constraint on the quantity and quality of food. Modern agriculture propelled by the green revolution has somehow been able to meet the food requirements of the ever-increasing population and is heavily dependent on chemical fertilizers, pesticides, and machinery, reducing the quality of food, and simultaneously posing a great risk of environmental quality degradation and genetic diversity reduction. The Integrated Organic Farming System (IOFS) is a novel approach that holds the potential in addressing the challenge of reconciling food production with environmental preservation. As this approach embraces zero or minimal chemical use, adopting the reprocessing and reuse of agricultural residues has led to a sustainable system that can be viewed as the closest approach to nature and a circular economy. However, certain constraints need to be addressed, such as ascertaining the effectiveness of organic fertilizers, the complexities associated with weed management, and the inadequacy of proficiency, financial resources, and technical expertise required to implement the IOFS. Therefore, this study emphasizes the comprehensive benefits that could be derived from IOFS, particularly agroforestry, including efficient food production, improved food quality, biodiversification of crops by the adoption of lesser-known crops to cater to cultural requirements and minimal capital input to achieve environmental sustainability and a carbon neutral economy.
More than three decades of independence of Central Asia (CA) countries have been marked by socio-economic, political, and legal reforms. Growing climate change impacts threaten the wellbeing and livelihood of the already vulnerable local population, more than half of which comprises women. In this context, it is essential to adequately include both women’s and men’s needs in multiple efforts taken by national governments to overcome climate change challenges. This paper explores how gender/women considerations have been already addressed in climate change in CA using bibliometric analysis, an expert-driven assessment approach, and a comprehensive analysis of thematically relevant development projects. The findings demonstrated a significant prevalence of grey literature implying much lower interest from academia. The experts outlined the importance of women’s participation and consideration of their experiences, which were different from men’s, in climate change decision making. The comprehensive analysis of the selected development projects revealed the leadership/empowerment domain of climate change-gender interconnections as being mostly addressed. The implications of this paper regarding the current knowledge on the topic related to the CA region are threefold. Firstly, it highlights a strong need for further scientific research that could be implemented through international research initiatives and national institutional programs. Secondly, it calls for increased input from women representation in climate action at all levels. Thirdly, it outlines areas that require stronger cooperation with international donors to mainstream gender/women considerations among a wide range of stakeholders engaged in climate change and its related fields. Overall, the paper lays a basis for further steps towards advancing gender-sensitive and -responsive approaches in CA, particularly in those climate-change-related areas that are often perceived as being gender-neutral.
Ongoing climate change has accelerated the outbreak and expansion of climate-sensitive infectious diseases such as dengue fever. Dengue fever will remain a threat until safe and effective vaccines and antiviral drugs have been developed, distributed, and administered on a global scale. By predicting the spatiotemporal distribution of dengue fever outbreaks, we can effectively implement dengue fever prevention and control. Our study aims to predict the spatiotemporal distribution of dengue fever outbreaks in Chinese Taiwan using a U-Net based encoder – decoder model with daily datasets of sea-surface temperature, rainfall, and shortwave radiation from Remote Sensing (RS) instruments and dengue fever case notification data. Although the prediction accuracy of the proposed model was low and the overlapping areas between the ground truth and pixelwise prediction were few, some of the pixels were located nearby the ground truth, suggesting that the application of RS data and deep learning may help to predict the spatiotemporal distribution of dengue fever outbreaks. With further improvements, the deep learning model might effectively learn a small amount of training data for a specific task.
The availability of clean drinking water impacts the quality of life of Arctic populations and is affected by climate change. We provide perceptions based on: (1) a study of the accessibility of the natural surface water to the nomadic and settled Indigenous inhabitants living in rural areas (in settlements and remote camps) in the Arctic zone of Western Siberia during climate change and industrial development; (2) an assessment of the impact of consuming different surface water resources on human health. We include primary data sources from medical examinations and surveys collected in the regions between the rivers of Ob, Nadym, Taz, and Yenisey in 2012, 2014-2019, and 2022 whereas the chemical analysis of the surface waters in the region was based on previous research. A total of 552 local residents from the Arctic zone of Western Siberia participated in the study. We discuss how the availability of high-quality drinking water is limited for them due to climatic and anthropogenic risks, despite the abundant water resources. The consumption of river water is associated with high health risks since it contains heavy metals (Pb, Cd, Mn, Fe), whereas the consumption of lake ice melt water likely affects health because of the low concentrations of beneficial ions.
As global studies of climate change depict increasingly dire outcomes of extreme heat, there is an urgent need to understand the appropriateness of heatwave definitions and temperature datasets in different parts of the world. We carry out an intercomparison of the CHIRTS gridded station-satellite temperature dataset with three reanalysis products, ERA5, NCEP-DOE Reanalysis 2, and MERRA2, to assess biases in the absolute value of extreme heat events and the distribution of extreme events. We find close agreement between all four datasets in the magnitude and distribution of extreme temperatures, with a cold bias in the reanalyses over mountainous areas. However, there is little to no agreement between datasets on the timing of extreme heat events in the tropics, and the datasets do not even agree on which month is the hottest month climatologically in these regions. Second, we compare how the four datasets represent the frequency and timing of extreme heat events, using two different types of heatwave definitions: 5-day duration-based extremes and extreme temperature-humidity combinations (heat index). In the case of 5-day heatwaves, there are almost zero events recorded historically in tropical regions. In contrast, high absolute values of the heat index are most common in dry climates, likely due to the dominance of high temperature spikes in these regions, and high heat index events also occur in temperate and tropical regions. There is little agreement between datasets, however, on when these extreme heat index events have happened historically in the tropics. Given these results, we highlight the need for locally developed heatwave metrics for different parts of the world, and we urge against the use of a single heatwave definition in global studies. We also recommend that any studies assessing heat-health relationships in tropical regions beware of the lack of agreement between observational and reanalysis datasets and compare results from different gridded dataset products to estimate uncertainty in heat-health relationships.
Diarrheal diseases are one of the main health problems worldwide, especially in developing countries with poor health systems, high rates of poverty, and poor nutrition. The main causative agents of diarrheal disease are bacteria, viruses, and parasites; among the latter, the intestinal protozoa Giardia and Entamoeba stand out. In the present work, a observational analysis of the national surveillance data of amebiasis, giardiasis, and other protozoan intestinal infections was carried out. The data issued by the Directorate General of Epidemiology was analyzed to establish its relationship with geography, socioeconomic, and environmental conditions in Mexico during the 2015-2019 period. New cases of amebiasis decreased by 25.03% between 2015 and 2019, while giardiasis and other protozoan intestinal infections remained constant; in all cases, incidence was higher in females than in males, and children under 5 years of age were the most affected. The contribution of environmental conditions (seasonality, temperature, and humidity) and socioeconomic factors in the number of protozoan intestinal infection cases was assessed by a multivariable regression model using a backward selection procedure. Peaks in cases were observed in spring and summer, which are characterized by warm and humid climates. Additionally, states with high humidity and annual average temperature contribute to a notably higher incidence of these parasites, especially annual average temperature, as demonstrated through multivariable linear regression models. Moreover, the majority of these states have the largest population living in poverty with inadequate measures for the distribution, dispensing, and sanitation of water. These data are essential to incidence rate monitoring and focus efforts on eliminating risk factors and improving health programs in Mexico.
The Holiday Climate Index (HCI) is a well-known and valued index for assessing the weather suitability of outdoor recreational activities. As a composite index, it takes into account many aspects of the weather, all of which affect the well-being of tourists. With the accentuation of climate change, the HCI plays an important role in the organization and planning of tourist activities. These plans must take into account not only the individual values of the index for different destinations, but also the sequence of days with certain expected values of the index. The aim of our research was to create a software module in R that would allow the analysis and identification of periods of consecutive days in which the HCI is above a certain minimum threshold and also has a minimum average value for that period. We applied this module to the analysis of historical (1970-2004) and present and near-future (2005-2040) HCI values in the EC-EARTH climate model, identifying for each year and location in the Carpathian Basin the starting day of the climatically best seven-day period. To obtain a time series for each location, we aggregated the values for the two periods using the mean, median, standard deviation and trend calculation. The analysis shows that the ideal time to start a holiday is not only changing, it is becoming increasingly unpredictable. Whereas in the 1970-2004 period there was a well -observed decreasing trend in the starting day, for the 2005-2040 period we see a trend-free situation in most of the area. Even where trends do appear, we find them in opposite directions in nearby areas, making it difficult to plan the ideal time to start a holiday.
Global warming is expected to exacerbate heat stress. Additionally, biogeophysical effects of land cover and land management changes (LCLMC) could substantially alter temperature and relative humidity locally and non-locally. Thereby, LCLMC could affect the occupational capacity to safely perform physical work under hot environments (labor capacity). However, these effects have never been quantified globally using a multi-model setup. Building on results from stylized sensitivity experiments of (a) cropland expansion, (b) irrigation expansion, and (c) afforestation conducted by three fully coupled Earth System Models (ESMs), we assess the local as well as non-local effects on heat stress and labor capacity. We found that LCLMC leads to substantial changes in temperature; however, the concomitant changes in humidity could largely diminish the combined impact on moist heat. Moreover, cropland expansion and afforestation cause inconsistent responses of day- and night-time temperature, which has strong implications for labor capacity. Across the ESMs, the results are mixed in terms of sign and magnitude. Overall, LCLMC result in non-negligible impacts on heat stress and labor capacity in low-latitude regions during the warmest seasons. In some locations, the changes of monthly average labor capacity, which are induced by the local effects of individual LCLMC options, could reach -14 and +15 percentage points. Thus, LCLMC-induced impacts on heat stress and their consequences for adaptation should be accounted for when designing LCLMC-related policies to ensure sustainable development.
Among the various thermal stress indices, apparent temperature (AT) is closely related to public health indicators, and consequently is widely used by weather agencies around the world. Therefore, in this paper we estimate the changes in AT and contributing components in Korea as a whole and in five major cities (Seoul, Gwanju, Daegu, Daejeon, and Busan) using national standard climate scenarios based on the coupled model inter-comparison project (CMIP6). In the present day, high AT occurs in major cities due to high temperature (TAS) and relative humidity (RH). Our findings reveal that even when TAS is relatively low, large AT occurs with higher humidity. Notably, in future warmer climate conditions, high AT may first appear in the five major cities and then extend to the surrounding areas. An increase in TAS and RH during the pre-hot season (March to June) may lead to earlier occurrence of thermal risks in future warmer climate conditions and more frequent occurrence of high thermal stress events. Our study can serve as a reference for future information on thermal risk changes in Korea. Considering those who have not adapted to high temperature environments, our findings imply that thermal risks will become more serious and that heat adaptation strategies will be needed during the pre-hot season under future warmer climate conditions.
Heat risks, such as those associated with heatwaves, are increasing in frequency, severity, and duration due to climate change. The ways in which people around the globe perceive and respond to heat risks are now of great importance to reduce a range of negative health outcomes. A growing body of literature aims to assess the factors that influence people’s behaviors in relation to heat risks. This research can inform better interventions, such as improved communications approaches, that attempt to facilitate adaptive behavioral responses to such risks. This review focuses on how insights from behavioral and attitudinal studies about heat risk responses can inform communication approaches. These insights are organized into three key themes: (1) Behaviors-What types of actions can be taken by people, and what evidence is there for adaptive behavior? (2) Antecedents-Which individual and contextual factors can influence people’s behaviors? (3) Communications-How can existing insights be better integrated into interventions? Aspects of communication, including the role of message characteristics, messenger, and imagery, are discussed, with examples of messages and narratives that target influential antecedents of adaptive responses to heat risks. The paper makes three important contributions. First, it organizes literature on the antecedents and behavioral responses to heat risk; second, it provides a typology of the range of heat risk behaviors; and, third, it discusses how antecedents can be integrated into communication interventions. The review concludes with a proposed agenda for research, highlighting the need for substantial testing and evaluation of heat risk communication, applying insights from the literature.This article is categorized under:Perceptions, Behavior, and Communication of Climate Change > CommunicationPerceptions, Behavior, and Communication of Climate Change > Behavior Change and Responses
Pacific youth are at the forefront of the climate crisis, which has important implications for their health and rights. Youth in Fiji currently bear a disproportionate burden of poor experiences and outcomes related to their sexual and reproductive health and rights (SRHR). There is limited information about how the increasing climate impacts may affect their SRHR, and what the implications may be for climate action and disaster risk reduction. We aimed to explore the experiences of 21 Fijian youth in fulfilling their SRHR when living through multiple natural hazards. We conducted 2 workshops and 18 individual semistructured interviews using visual and storytelling methods. Irrespective of the type of hazard or context of disasters, participants identified limited agency as the main challenge that increased SRHR risks. Through reflexive thematic analysis, we identified four themes centred around ‘youth SRHR agency’; (1) information and knowledge, (2) community and belonging, (3) needs and resources, and (4) collective risks. These themes encompassed multiple factors that limited youth agency and increased their SRHR risks. Participants highlighted how existing challenges to their SRHR, such as access to SRHR information being controlled by community gatekeepers, and discrimination of sexual and gender diverse youth, were exacerbated in disasters. In disaster contexts, immediate priorities such as water, food and financial insecurity increased risks of transactional early marriage and transactional sex to access these resources. Daily SRHR risks related to normalisation of sexual and gender-based violence and taboos limited youth agency and influenced their perceptions of disasters and SRHR risks. Findings offer important insights into factors that limited youth SRHR agency before, during and after disasters. We underscore the urgency for addressing existing social and health inequities in climate and disaster governance. We highlight four key implications for reducing youth SRHR risks through whole-of-society approaches at multiple (sociocultural, institutional, governance) levels.
Small-scale farmers are vulnerable to changes in climate and face challenges that affect their livelihoods. The recommended alternatives for adaptation are limited. Our study in Kilombero Valley has yielded results on the factors that impact livelihood vulnerability. Using a variety of methods such as household surveys, Likert scaling, key informant interviews, focus group discussions, and direct field observations, we were able to gather comprehensive data. The study shows that the vulnerability and ability to adapt to changing circumstances among small-scale farmers depend on factors such as time, assets, and the type of income they generate. Most residents of Kilombero Valley face a range of challenges in their daily lives, including socioeconomic, political, technological, and health-related issues, which can all affect their household assets. The scarcity of resources, especially wetlands, which are crucial for livelihoods, has led to conflicts that are worsened by population growth, climate change, and politics. To ensure the sustainability of small-scale farmers’ livelihoods, it is essential to address these conflicts and manage natural resources effectively. The policies, plans, and programs for adaptation in Kilombero fail to consider various long-term pressures. This is because the community and individual families have limited capacity to adapt, which makes some of the measures taken to combat climate and non-climate shocks ineffective or detrimental. Therefore, it is essential to exercise caution when designing solutions for multiple stresses in rural areas to prevent maladaptation.
Climate and land use changes together are altering the particle content of desert dust storms on regional and local scales. These storms now carry a wide variety of pollutants and pathogens arising from urbanization, industrialization, mass transportation, warfare, or aerosolized waste in locations worldwide where deserts are intertwined with built infrastructure, transportation centers, and high-density human habitation. Accordingly, the modern desert dust storm has an anthropogenic particle load which presumably sets it apart from pre-industrial dust storms. Evidence for how particle content for modern dust storms is changing over the Arabian Peninsula holds relevance because dust storms are now more frequent and more severe. Furthermore, the Arabian Peninsula has asthma rates which are the highest worldwide. How the modern desert dust storm contributes to asthma and human health is a nascent issue. Meanwhile, public health decisions can benefit from a climate × health framework for dust storms, as proposed here. An imperative is testing each dust storm’s particle content type, and for this, we propose the A-B-C-X model. Sampling a dust storm for its particle content data and then archiving samples for future analyses is advised. A storm’s particle content data, once combined with its atmospheric data, allows a particle’s source, transport, and deposition to be determined. In closing, the modern desert dust storm’s changing particle content has far-reaching consequences for public health, transboundary issues, and international climate dialog. SIGNIFICANCE : Locally and regionally sourced particle pollution is a growing problem in deserts worldwide. Proposed here is a climate × health framework for studying how dust storm particles, entrained from both natural and engineered systems, may be contributing to declining human respiratory health.
The Arctic is warming at four times the global rate, changing the diversity, activity and distribution of vectors and associated pathogens. While the Arctic is not often considered a hotbed of vector-borne diseases, Jamestown Canyon virus (JCV) and Snowshoe Hare virus (SSHV) are mosquito-borne zoonotic viruses of the California serogroup endemic to the Canadian North. The viruses are maintained by transovarial transmission in vectors and circulate among vertebrate hosts, both of which are not well characterized in Arctic regions. While most human infections are subclinical or mild, serious cases occur, and both JCV and SSHV have recently been identified as leading causes of arbovirus-associated neurological diseases in North America. Consequently, both viruses are currently recognised as neglected and emerging viruses of public health concern. This review aims to summarise previous findings in the region regarding the enzootic transmission cycle of both viruses. We identify key gaps and approaches needed to critically evaluate, detect, and model the effects of climate change on these uniquely northern viruses. Based on limited data, we predict that (1) these northern adapted viruses will increase their range northwards, but not lose range at their southern limits, (2) undergo more rapid amplification and amplified transmission in endemic regions for longer vector-biting seasons, (3) take advantage of northward shifts of hosts and vectors, and (4) increase bite rates following an increase in the availability of breeding sites, along with phenological synchrony between the reproduction cycle of theorized reservoirs (such as caribou calving) and mosquito emergence.
In the last decades several Conditional Cash Transfers (CCTs) have been implemented to interrupt the intergenerational transmission of poverty. More recently, they have also been used as a policy response to provide support to households hit by the COVID crisis. CCTs are being deployed as a development tool to reduce local communities’ vulnerability, increasing their resilience and capacity to adapt. In this context, this paper investigates if CCTs can reduce vulnerability to climate change by increasing the adaptative capacity of local communities. Indeed, while some literature has found that CCTs can reduce specific dimensions of vulnerability to socio-economic shocks, we argue that more research is necessary to understand their impact on vulnerability to climate change. Empirically, we use a panel of household survey data collected in Colombia in 2002 and 2006. We employ a difference-in-differences approach to analyse the impact of the CCT programme Familia en Accion (FA) CCTs on rural households. We consider seven components of vulnerability linked to climate change aggregated in an index: wealth, health, access to information, access to basic facilities, financial vulnerability, resilience to natural disasters, and nutrition. Our results differ from previous research and indicate that CCTs provided by the FA program do not decrease vulnerability to climate change. This finding suggests that CCTs are not a universal solution to reducing vulnerability to climate change and may be ineffective in specific contexts.Key policy insightsThe literature often assumes that CCTs can have a mitigating effect on vulnerability to climate change. Our research shows that in the context of Colombia, this assumption is incorrect.The idea that providing monthly payments to households can reduce vulnerability to climate change should be considered with caution, given limited empirical evidence.Policy makers and scholars should consider the multidimensional nature of vulnerability and design targeted interventions and avoid considering CCTs as a panacea to all aspects of vulnerability to climate change.Our models show that the FA programme failed to have a significant impact in reducing vulnerability to climate change using several different specifications. We show that CCTs do not have an impact on numerous essential components such as wealth, health, access to infrastructure, information and knowledge, financial coping mechanisms, food consumption, and exposure to natural disasters.
Athletes are a group of people who have good activity, regular muscular exercise, an almost standard lifestyle, and should be in good condition with low rates of medical, particularly cardiovascular, complications. However, cardiac attacks, sudden cardiac deaths, and fatal arrhythmogenic syndromes have been reported in athletes with low incidences. We can determine external and internal factors that lead to cardiac attacks in athletes. The former include abnormal cardiac structures and genetics, while the latter include environmental conditions like extreme temperatures, smoking, and drug abuse. Here, we report a case of a cardiac attack with non-ST elevation myocardial infarction (NSTEMI) in a young athlete who was a non-smoker, did not have any abnormal heart structures or a history of drug abuse, and did not have a family history of cardiac disease or arrest. High humidity levels and temperatures were the main causes of the cardiac attack, which occurred during a sports exercise at high temperatures with high humidity levels. We hope to prevent the recurrence of such a case. We need to understand when and where sports exercises can be performed without the risk of medical complications.
Climate change is negatively affecting people’s health, safety, and well-being. Therefore, it is crucial to understand whether people perceive they have the capacity to adapt to climate change. Most studies on whether people can adapt to climate change focus on preventing negative outcomes and the ability to ‘bounce back’. We propose that adaptation may have positive consequences too. We introduce the construct of transilience to capture people’s perceived capacity to persist, adapt flexibly, and positively transform in the face of climate change risks. We developed a scale to assess transilience in the context of climate change risks and conducted four empirical studies to validate it. Overall, the findings support the content, concurrent, discriminant and predictive validity of the transilience scale. People generally perceive they can be transilient in the face of climate change risks, and higher transilience is, as expected, positively related to climate change adaptation actions and general well-being. Our findings indicate that people perceive adapting to climate change can, not only minimize harm, but also provide beneficial opportunities. Theoretical implications and future directions are discussed.
Global warming has contributed to more frequent and severe extreme weather events, which has led to increased research on the health impacts of extreme heat. However, research on heatwaves, air quality, and their spatial impact on health service demand is limited. This study used machine learning (ML) approaches to obtain the optimised model to predict health service demand associated with those risk factors for an all-age model and compared it with young children (0-4 years) model in Perth. Ten years’ data (2006-2015) on emergency department attendances (EDA), socioeconomic status (SES), heatwaves, landscape fires, and gaseous and particulate air pollutants were collected. ML approaches, including decision tree, random forest (RF), and geographical random forest (GRF) models, were used to compare and select the best model for predicting EDA and identify important risk factors. Five-hundred cross validations were performed using the testing data, and a construct validation was performed by comparing actual and predicted EDA data. The results showed that the RF model outperformed other models, and SES, air quality, and heatwaves were among the important risk factors to predict EDA. The GRF model was fitted well to the data (R-2 = 0.975) and further showed that heatwaves had significant geographic variations and a joint effect with PM2.5 in the southern suburbs of the study area for young children. The RF and GRF models have satisfactory performance in predicting the impact of heatwaves, air quality, and SES on EDA. Heatwaves and air quality have great spatial heterogeneity. Spatial interactions between heatwaves, SES, and air quality measures were the most important predictive risk factors of EDA for young children in the Perth southern suburbs. Future studies are warranted to confirm the findings from this study on a wider scale.
It is well appreciated that the social determinants of health are intimately related with health outcomes. However, there is a paucity of literature that explores these themes comprehensively for the indigenous people within Micronesia. Certain Micronesia-specific factors, such as transitions from traditional diets, the consumption of betel nut, and exposure to radiation from the nuclear bomb testing in the Marshall Islands, have predisposed certain Micronesian populations to an increased risk of developing a variety of malignancies. Furthermore, severe weather events and rising sea levels attributed to climate change threaten to compromise cancer care resources and displace entire Micronesian populations. The consequences of these risks are expected to increase the strain on the already challenged, disjointed, and burdened healthcare infrastructure in Micronesia, likely leading to more expenses in off-island referrals. A general shortage of Pacific Islander physicians within the workforce reduces the number of patients that can be seen, as well as the quality of culturally competent care that is delivered. In this narrative review, we comprehensively underscore the health disparities and cancer inequities faced by the underserved communities within Micronesia.
AIMS: Extreme temperatures are increasingly experienced as a result of climate change. Both high and low temperatures, impacted by climate change, have been linked with cardiovascular disease (CVD). Global estimates on non-optimal temperature-related CVD are not known. The authors investigated global trends of temperature-related CVD burden over the last three decades. METHODS AND RESULTS: The authors utilized the 1990-2019 global burden of disease methodology to investigate non-optimal temperature, low temperature- and high temperature-related CVD deaths, and disability-adjusted life years (DALYs) globally. Non-optimal temperatures were defined as above (high temperature) or below (low temperature) the location-specific theoretical minimum-risk exposure level or the temperature associated with the lowest mortality rates. Analyses were later stratified by sociodemographic index (SDI) and world regions. In 2019, non-optimal temperature contributed to 1 194 196 (95% uncertainty interval [UI]: 963 816-1 425 090) CVD deaths and 21 799 370 (95% UI: 17 395 761-25 947 499) DALYs. Low temperature contributed to 1 104 200 (95% UI: 897 783-1 326 965) CVD deaths and 19 768 986 (95% UI: 16 039 594-23 925 945) DALYs. High temperature contributed to 93 095 (95% UI: 10 827-158 386) CVD deaths and 2 098 989 (95% UI: 146 158-3 625 564) DALYs. Between 1990 and 2019, CVD deaths related to non-optimal temperature increased by 45% (95% UI: 32-63%), low temperature by 36% (95% UI: 25-48%), and high temperature by 600% (95% UI: -1879-2027%). Non-optimal temperature- and high temperature-related CVD deaths increased more in countries with low income than countries with high income. CONCLUSION: Non-optimal temperatures are significantly associated with global CVD deaths and DALYs, underscoring the significant impact of temperature on public health.
The historical influence of environmental factors on families has received relatively little scholarly attention. In this article we explore the impact of the ‘natural’ or ‘more-than-human’ world on Australian families through one of the most powerful examples of environmental influence: disasters. We take three case studies as our focus: Cyclone Tracy (1974), the 2011 Queensland Floods and the 2019-20 Black Summer Fires. Our primary source materials are oral history interviews with Australian parents, some of which are archived interviews in cultural collections and some of which are contemporary interviews newly-created for this research. Through these case studies spanning half a century, we analyse change and continuity in the ways in which disasters have been experienced and remembered by Australian parents. While parents consistently shoulder an additional burden during disaster by caring for children, the ways they do so are distinctly gendered and have remained so across time. But as disasters increase in frequency, ferocity and severity in an era of climate change, the way parents understand, respond and prepare for environmental crises is shifting. Australian parents increasingly see their childrearing duties as encompassing consideration of extreme weather in locating or renovating a family home, practicing evacuation drills, and anticipating potential disasters in planning family holidays. Awareness of climate risks is even influencing reproductive decisions about family size or whether to become a parent. We hypothesise that shifts in individual parent’s disaster experiences may be collectively changing Australian cultural ideals of ‘good’ parenthood in the twenty-first century. Research conducted at the intersection of the history of the family and environmental history is becoming urgently significant in the present-day, as we seek to make sense of rapid environmental change and its personal and cultural impacts on our human lives.
Many air pollutants and climate variables have proven to be significantly associated with pediatric asthma and have worsened asthma symptoms. However, their exact causal effects remain unclear. We explored the causality between air pollutants, climate, and daily pediatric asthma patient visits with a short-term lag effect. Based on eight years of daily environmental data and daily pediatric asthma patient visits, Spearman correlation analysis was used to select the air pollutants and climate variables that correlated with daily pediatric asthma patient visits at any time (with a lag of 1-6 days). We regarded these environmental variables as treatments and built multiple- and single-treatment causal inference models using the Dowhy library (a Python library for causal inference by graphing the model, quantitatively evaluating causal effects, and validating the causal assumptions) to estimate the quantitative causal effect between these correlated variables and daily pediatric asthma patient visits in lag time. The multiple-treatment causal inference model was a model with 8 treatments (Visibility, Precipitation, PM(10), PM(2.5), SO(2), NO(2), AQI and CO), 1 outcome (daily pediatric asthma patients visits), and 5 confounders (Humidity, Temperature, Sea level pressure, wind speed and unobserved confounders “U”). Single-treatment causal inference models were 8 models, and each model has 1 treatment, 1 outcome and 12 confounders. Spearman correlation analysis showed that precipitation, wind speed, visibility, air quality index, PM(2.5), PM(10), SO(2), NO(2), and CO were significantly associated variables at all times (p < 0.05). The multiple-treatment model showed that pooled treatments had significant causality for the short-term lag (lag1-lag6; p < 0.05). Causality was mainly due to SO(2). In the single-treatment models, visibility, SO(2), NO(2), and CO exhibited significant causal effects at any one time (p < 0.05). SO(2) and CO exhibited stronger positive causal effects. The causal effect of SO(2) reached its maxima (causal effect = 11.41, p < 0.05) at lag5. The greatest causal effect of CO appeared at lag3 (causal effect = 10.67, p < 0.05). During the eight year-period, the improvements in SO(2), CO, and NO(2) in Hangzhou were estimated to reduce asthma visits by 8478.03, 3131.08, and 1341.39 per year, respectively. SO(2), NO(2), CO, and visibility exhibited causal effects on daily pediatric asthma patient visits; SO(2) was the most crucial causative variable with a relatively higher causal effect, followed by CO. Improvements in atmospheric quality in the Hangzhou area have effectively reduced the incidence of asthma.
Urban heat has affected numerous cities with increasingly severe environmental, social, economic, and health impacts. It is urgent to develop plans and take actions to beat the heat before cities are locked into unintended consequences. An understanding of heat injustice is important to support heat plans and actions for accurately alleviating heat-related risks and threats, scientifically avoiding unexpected conflicts and disputes, and actively driving citizens to participate in actual implementation. Existing studies have primarily focused on effect-related injustice (e.g., morbidity and mortality), while a systematic understanding of heat injustice is lacking. To overcome this research gap, this study framed heat injustice in terms of cause-related, effect-related, and processrelated injustice, and empirically verified them based on a questionnaire survey in the Yangtze River Delta (YRD) and Chengdu-Chongqing Economic Circle (CCEC) regions. The survey results from 2704 respondents indicated that effect-related injustice and process-related injustice were geographically prominent in the YRD and CCEC regions. Socioeconomically, cause-related, effect-related, and process-related injustice occurred with the identification of groups who thought the heat was more severe were more susceptible to physiological and psychological impacts, and had lower levels of heat-related awareness and knowledge. The results also indicated that both YRD and CCEC regions should urgently develop heat action plans, which should be regionalized and group-specific. Urban planning and design for heat-resilient cities and setting temporary cooling shelters should be prioritized. Moreover, this study identified inconsistencies among higher levels of heat-related knowledge, lower levels of cooling strategy familiarity, and lower urgency of heat actions among the elderly, less educated, unhealthy, and wealthy groups. Overall, this study provides a reference for understanding heat injustice and formulating unbiased and implementable heat action plans.
The Global Power of Oncology Nursing held their 3rd annual conference on ‘Celebrating Oncology Nursing: From Adversity to Opportunity’. The conference, held virtually, addressed three major nursing challenges: health workforce and migration, climate change and cancer nursing within humanitarian settings. Around the world, nurses are working in situations of adversity, whether due to the ongoing pandemic, humanitarian crises such as war or floods, shortage of nurses and other health workers, and high clinical demands leading to overwork, stress and burnout. The conference was held in two parts in order to take into account different time zones. Three hundred and fifty participants attended from 46 countries, with part of the conference being held in both English and Spanish. It was an opportunity for oncology nurses around the world to share their experiences and the realities for their patients seeking care and their families. The conference took the form of panel discussions, videos, and individual presentations from all six WHO regions and highlighted the importance of oncology nurses role in expanding beyond caring for individuals and their families, to tackle wider issues, such as nurse migration, climate change and care within humanitarian settings.
Electric fans are proposed to mitigate indoor heat stress during heatwaves. Fan cooling threshold temperatures were determined by biophysical models. However, such models could only account for sweating adjustment and disregarded evident cardiovascular impairment in older adults. This study demonstrated the contribution of cardiovascular function adjustment to core temperature responses. Results revealed that focusing just on sweating adjustment greatly underestimated the actual heat stress experienced by older adults. It is not recommended to use biophysical models to determine the threshold temperature of electric fan use for older adults during heatwaves because cardiovascular adjustment was not possible.
Waterborne disease is a global health threat contributing to a high burden of diarrhoeal disease, and growing evidence indicates a prospective increase in incidence coinciding with the profound effects of climate change. A major causative agent of gastrointestinal disease is Cryptosporidium, a protozoan waterborne parasite identified in over 70 countries. Cryptosporidium is a cause of high disease morbidity in children and the immunocompromised with limited treatment options for patients at risk of severe illness. The hardy nature of the organism leads to its persistence in various water sources, with certain water treatment procedures proving inefficient for its complete removal. While diagnostic methods for Cryptosporidium are well-defined in the clinical sphere, detection of Cryptosporidium in water sources remains suboptimal due to low dispersion of organisms in large sample volumes, lengthy processing times and high costs of equipment and reagents. A need for improvement exists to identify the organism as an emerging threat in domestic water systems, and the technological advantages that biosensors offer over current analytical methods may provide a preventative approach to outbreaks of Cryptosporidium. Biosensors are innovative, versatile and adaptable analytical tools that could provide highly sensitive, rapid, on-site analysis needed for Cryptosporidium detection in low-resource settings.
Type I respiratory allergies to birch pollen and pollen from related trees of the order Fagales are increasing in industrialized countries, especially in the temperate zone of the Northern hemisphere, but the reasons for this increase are still debated and seem to be multifaceted. While the most important allergenic molecules of birch pollen have been identified and characterized, the contribution of other pollen components, such as lipids, non-allergenic immunomodulatory proteins, or the pollen microbiome, to the development of allergic reactions are sparsely known. Furthermore, what also needs to be considered is that pollen is exposed to external influences which can alter its allergenicity. These external influences include environmental factors such as gaseous pollutants like ozone or nitrogen oxides or particulate air pollutants, but also meteorological events like changes in temperature, humidity, or precipitation. In this review, we look at the birch pollen from different angles and summarize current knowledge on internal and external influences that have an impact on the allergenicity of birch pollen and its interactions with the epithelial barrier. We focus on epithelial cells since these cells are the first line of defense in respiratory disease and are increasingly considered to be a regulatory tissue for the protection against the development of respiratory allergies.
Heatwaves have become increasingly frequent and intense, posing a significant threat to the survival and health of marine bivalves. The temperature fluctuations associated with heatwaves can cause significant alterations in the composition and quantity of microbial communities in bivalves, resulting in changes to their immunological responses, gut microbiome, oxidative stress levels, and other physiological processes and eventually making them more susceptible to diseases and mass mortalities. This is particularly concerning because some of these bivalves are consumed raw, which could represent a risk to human health. This paper provides an overview of the current state of knowledge regarding the impact of marine heatwaves on bivalves and their microbial communities, demonstrating the intricate relationship between heatwaves, microbial ecosystems, and bivalve health. Our analysis highlights the need for additional research to establish the underlying mechanisms of these reactions and to develop appropriate conservation and management strategies to limit the impact of heatwaves on bivalves and their microbial ecosystems.
Climate and anthropogenic change, particularly agricultural runoff, increase blue-green algae/cyanobacteria blooms. This article researches cyanobacteria alert-level identification, management, and risk communication in Lake Hume, Australia. Two methods, document and content analysis, evidence contamination events and risk communication, reflect water governance and data management limitations. Results found that Lake Hume had amber or red alerts for only one week, December 2021-December 2022. This failed to prevent government tourism promotion of recreational usage, contravening water authority red alert advice. Lake-use restrictions lacked compliance enforcement. Events during amber alerts lacked risk communication to vulnerable populations (children). Lake Hume’s governance by the Murray-Darling Basin Authority restricted risk communication to one authority that reproduced generic advice in minimal outlets/time points. Geophysical signage failed to address diversity needs (language, literacy, age, and disabilities). No risk communication was found for residents with diseases exacerbated by aerosolization. Despite WHO promoting cyanotoxin investigation, Australian research is absent in international literature. Further, Lake Hume cyanobacteria produce potentially carcinogenic microcystein. This coexists with census data revealing cancer rates higher than the national average in a waterside town. The results demonstrate the need to incorporate robust public health risk assessments, communication, and management into water management and advocate international legislation changes based on evidence-based research to reduce blooms and prevent agricultural runoff.
Soil health underpins ecosystem services like food security and therefore underpins human health. Poor soil health is a global problem which is hindering attempts to deliver the UN’s Sustainable Development Goals. We focus on goals 3 (human health), 13 (climate change) which are intimately linked to goal 15 (soil health). Soil health is arguably most fragile in regions such as sub-Saharan Africa (SSA) where aged soils are characterised by poor nutrient and water holding capacity, and are largely deficient in micronutrients such as Zinc. Poor soil health coupled with the largely cereal-based diets can mean that micronutrient malnutrition is high in the region. In sub-Saharan Africa, where much of the population is too poor to purchase mineral supplements, poor soil health (SDG15) can therefore negatively impact on human health (SDG3). We surveyed 3661 school children aged 13-15 in three African countries, Ghana, South Africa and Zimbabwe, for their ‘Attitudes, Behaviours and Competencies’ of soil, which we termed ‘ABC’. The ‘ABC’ survey results showed significant soil illiteracy. The survey showed that although students were generally equipped with a good attitude to (overall 52% positive) and behaviour towards soil (overall 60% engagement), they had little competency as to how to improve soil health (overall 23% knowledge). For example, less than 35% of respondents across all countries know that soil is living. Less than 13% of students are aware of the important role of soil in climate change mitigation. We believe that these two knowledge gaps must be addressed for Generation Z to understand the important linkages between climate change, soil and human health. We propose a hands-on ‘ethics of care’ approach to engage society with soil, piggybacking on existing climate change educational resources by building terrariums with living soil can empower children to learn about soil, plant, human and planetary health. The future of food security depends on Generation Z having soil literacy. Our survey clearly shows that students who think farming is a good way to make money have significantly higher levels of overall soil literacy. We propose that the future of human health depends on soil literacy.
Climate change is widely recognised as the greatest threat to public health this century, but ‘climate change and health’ often refers to a narrow and limited focus on emissions, and the impacts of the climate crisis, rather than a holistic assessment of economic structures and systems of oppression. This tunnel vision misses key aspects of the climate change and health intersection, such as the enforcers of planetary destruction such as the military, police, and trade, and can also lead down dangerous alleyways such as ‘net’ zero, overpopulation arguments and green extractivism. Tunnel vision also limits health to the absence of the disease at the individual level, rather than sickness or health within systems themselves. Conceptualising health as political, ecological, and collective is essential for tackling the root causes of health injustice. Alternative economic paradigms can offer possibilities for fairer ecological futures that prioritise health and wellbeing. Examples such as degrowth, doughnut economics and ecosocialism, and their relationship with health, are described. The importance of reparations in various forms, to repair previous and ongoing harm, are discussed. Breaking free from tunnel vision is not simply an intellectual endeavour, but a practice. Moving towards new paradigms requires movement building and cultivating radical imagination. The review highlights lessons which can be learnt from abolitionist movements and progressive political struggles across the world. This review provides ideas and examples of how to break free from tunnel vision for climate change and health by highlighting and analysing the work of multiple organisations who are working towards social and economic transformation. Key considerations for the health community are provided, including working in solidarity with others, prioritising community-led solutions, and using our voice, skills, and capacity to address the structural diagnosis-colonial capitalism.
Heat waves can cause dangerous elevations in body temperature that can compromise cellular function and increase the risk of heat stroke and major cardiovascular events. Visiting a cooling center or other air-conditioned location is commonly recommended by health agencies to protect heat-vulnerable older persons but the associated cellular effects remain underexplored. We evaluated cellular stress responses in peripheral blood mononuclear cells (PBMC) from 19 older adults [71 (SD 2) yr; 9 females] before and after a 9-h heat exposure [40.3°C and 9.3% relative humidity (RH)], with participants moved to a cool room (∼23°C) for hours 5 and 6 (cooling group). Responses were compared with 17 older adults [72 (4) yr; 7 females] who remained in the heat for the entire 9 h (control group). Changes in proteins associated with autophagy, apoptotic signaling, acute inflammation, and the heat shock response (HSR) were assessed via Western blot. Although both groups experienced similar elevations in physiological strain before the cooling center intervention, brief cooling resulted in stark albeit transient reductions in core temperature and heart rate. At end-exposure, autophagy proteins LC3-II and p62 were elevated 1.9-fold [95% CI: 1.2, 2.8] and 2.3-fold [1.4, 3.8], respectively, in the control group relative to cooling group. This was paired with a 2.8-fold [1.6, 4.7] greater rise in apoptotic protein cleaved-caspase-3 in the control group compared with the cooling group. Our findings indicate that 2 h of ambient cooling midway through a 9-h simulated heat wave may preserve autophagy and mitigate heat-induced cellular stress in older adults.NEW & NOTEWORTHY Heat waves can lead to dangerous elevations in body temperature, increasing the risk of life-threatening health conditions. Visiting a cooling center or other air-conditioned location is commonly recommended to protect heat-vulnerable older persons, although the effects on the cellular stress response remain unknown. We found that 2 h of ambient cooling midway through a 9 h simulated heat wave preserves autophagy, a vital cellular survival mechanism, and mitigates accompanying pathways of cellular stress in older adults.
While shade and air flow are recognised factors that reduce outdoor heat exposure, the level of reduction in terms of labour capacity at varying air temperature and humidity levels is poorly understood. This study investigated cooling effects on the commonly used heat index, wet bulb globe temperature (WBGT), and subsequent impact on labour capacity, for a range of air flow and shade conditions in warm to hot climates. We modelled heat exposure using a physics-based method to map WBGT for a case study region which experiences a range of heat categories with varying levels of health risks for outdoor workers. Continent-scale modelling confirmed significant spatial variability in the effect of various shade and wind speed scenarios across a range of real-world mid-summer daytime conditions. At high WBGTs, increasing shade or air flow for outdoor workers lowered heat exposure and increases labour capacity, with shade giving the greatest benefit, but cooling varied considerably depending upon underlying air temperature and humidity. Shade had the greater cooling effect; reducing incident radiation by 90% decreased WBGT by 2-6 °C depending on location. Wind had a lower cooling effect in the hottest regions, with a decreasing exponential relationship between wind speed and WBGT observed.
One Health is the collaborative efforts of multiple disciplines to attain optimal health for people, animals and the environment, a concept that historically owes much to the study of brucellosis, including recent political and ethical considerations. Brucellosis One Health actors include Public Health and Veterinary Services, microbiologists, medical and veterinary practitioners and breeders. Brucellosis awareness, and the correct use of diagnostic, epidemiological and prophylactic tools is essential. In brucellosis, One Health implementation faces inherited and new challenges, some aggravated by global warming and the intensification of breeding to meet growing food demands. In endemic scenarios, disease awareness, stakeholder sensitization/engagement and the need to build breeder trust are unresolved issues, all made difficult by the protean characteristics of this zoonosis. Extended infrastructural weaknesses, often accentuated by geography and climate, are critically important. Capacity-building faces misconceptions derived from an uncritical adoption of control/eradication strategies applied in countries with suitable means, and requires additional reference laboratories in endemic areas. Challenges for One Health implementation include the lack of research in species other than cattle and small ruminants, the need for a safer small ruminant vaccine, the need to fill in the infrastructure gap, the need for realistic capacity-building, the creation of reference laboratories in critical areas, and the stepwise implementation of measures not directly transposed from the so-called developed countries.
Chronic obstructive pulmonary disease (COPD) has been the third leading cause of death worldwide. As the traditional risk factors (like smoking and ambient air pollution) on the burden of COPD being well characterized, the burden of COPD due to non-optimal temperature has been widely concerned. In this study, we extracted the relevant burden data of COPD attributable to non-optimal temperature from GBD 2019 and adopted estimated annual percent changes, Gaussian process regression (GPR), and age-period-cohort model to evaluate the spatiotemporal patterns, relationships with socio-demographic level, and the independent effects of age, period and cohort from 1990 to 2019. In brief, the global COPD burden attributable to non-optimal temperatures showed declining trends but was still more severe in the elderly, males, Asia, and regions with low socio-demographic index (SDI). And cold had a greater burden than heat. The inverted U-shape is expected for the relationship between SDI and the burden of COPD caused by non-optimal temperatures according to the GPR model, with the inflection point around SDI 0.45. Besides, the improvements were observed in period and cohort effects but were relatively limited in low and low-middle SDI regions. Public health managers should execute more targeted programs to lessen this burden predominantly among lower SDI countries.
AIMS: To determine the global and regional burden of stroke due to high temperature and the spatiotemporal trends in 204 countries and territories from 1990 to 2019. METHODS: Based on Global Burden of Disease Study 2019, deaths, disability-adjusted life years (DALYs), and age-standardized mortality rate (ASMR) and age-standardized DALY rate (ASDR) for stroke attributable to high temperature (i.e. a daily mean temperature warmer than the theoretical minimum-risk exposure level (TMREL)) were calculated in global, geographical location, and country and analyzed by age, sex, subtypes, and socio-demographic index (SDI) from 1990 to 2019. The trends in ASMR and ASDR from 1990 to 2019 were estimated by linear regression model. The regression coefficients (β) referred to a mean change of per year for ASMR or ASDR attributable to high temperature. RESULTS: The global burden of stroke attributable to high temperature had an increase trend from 1990 to 2019 (β = 0.005, 95% uncertainty interval (UI) = 0.003-0.007 for ASMR and β = 0.104, 95% UI = 0.066-0.142 for ASDR, respectively). Globally, in 2019, an estimated 0.048 million deaths and 1.01 million DALYs of stroke were attributable to high temperature, and the global ASMR and ASDR of stroke attributable to high temperature were 0.60 (95% UI = 0.07-1.30) and 13.31 (1.40-28.97) per 100,000 population, respectively. The largest burden occurred in Western Sub-Saharan Africa, followed by South Asia, Southeast Asia, and North Africa and the Middle East. ASMR and ASDR increased with age and were higher in males and for intracerebral hemorrhage, and were the highest in the low SDI regions. In 2019, the region with the largest percentage increase in ASMR and ASDR attributable to high temperature was Eastern Sub-Saharan Africa from 1990 to 2019. CONCLUSIONS: Stroke burden due to high temperature has been increasing, and a higher burden was observed in people aged 65-75 years, males, and countries with a low SDI. Stroke burden attributable to high temperature constitutes a major global public health concern in the context of global warming.
BACKGROUND: The compounding effects of climate change catastrophes such as bushfires and pandemics impose significant burden on individuals, societies, and their economies. The enduring effects of such syndemics on mental health remain poorly understood, particularly for at-risk populations (e.g., pregnant women and newborns). The aim of this study was to investigate the impact of direct and indirect exposure to the 2019/20 Australian Capital Territory and South-Eastern New South Wales bushfires followed by COVID-19 on the mental health and wellbeing of pregnant women and mothers with newborn babies. METHODS: All women who were pregnant, had given birth, or were within three months of conceiving during the 2019/2020 bushfires, lived within the catchment area, and provided consent were invited to participate. Those who consented were asked to complete three online surveys. Mental health was assessed with the DASS-21 and the WHO-5. Bushfire, smoke, and COVID-19 exposures were assessed by self-report. Cross-sectional associations between exposures and mental health measures were tested with hierarchical regression models. RESULTS: Of the women who participated, and had minimum data (n = 919), most (>75%) reported at least one acute bushfire exposure and 63% reported severe smoke exposure. Compared to Australian norms, participants had higher depression (+12%), anxiety (+35%), and stress (+43%) scores. Women with greater exposure to bushfires/smoke but not COVID-19 had poorer scores on all mental health measures. CONCLUSIONS: These findings provide novel evidence that the mental health of pregnant women and mothers of newborn babies is vulnerable to major climate catastrophes such as bushfires.
Increasing water scarcity caused by population growth, climate change, pollution from natural and anthropogenic sources, etc. is likely to impact the occurrence of water-associated infectious diseases. Nowadays, access to clean and safe water is a growing concern worldwide. Therefore, disinfection of drinking water is a vital step in public treatment systems as it ensures the removal of various contaminants, including pathogenic microorganisms (protozoa, viruses, bacteria, and intestinal parasites) that give rise to waterborne diseases. Nevertheless, undesirable disinfection byproducts (DBPs) are formed during disinfection as a result of reactions between chemical disinfectants and natural organic matter (NOM), and/or anthropogenic contaminants, and/or bromide/iodide that are present in the raw water. The chemical complexity and heterogeneity of matters in the raw water makes the characterization and the mechanism of DBPs formation quite difficult and ambiguous regardless of the previous hundreds of studies on DBPs generation. As chlorination is still the most economic and most often used disinfection method, and beside chlorination, the application of chlorine dioxide is becoming more widespread, this paper investigates the possible DBPs generated using chlorine and chlorine dioxide with highlighting their adverse health effects. It overviews the reactions of those disinfectants with inorganic and organic compounds. It is important to note that in order to better understand the performance of disinfectants in water treatment, further investigations on the mechanisms of them with inorganic and organic compounds found in water are critically needed.
To prevent anthropogenic warming of the climate system above dangerous thresholds, governments are required by the Paris Agreement to peak global anthropogenic CO(2) emissions and to reach a net zero CO(2) emissions level (also known as carbon neutrality). Growing concerns are being expressed about the increasing heat stress caused by the interaction of changes in temperature and humidity in the context of global warming. Although much effort has been made to examine future changes in heat stress and associated risks, gaps remain in understanding the quantitative benefits of heat-risk avoidance from carbon-neutral policies, limited by the traditional climate projections from the Coupled Model Intercomparison Project Phase 6 (CMIP6). Here we quantify the avoided heat risk during 2040-2049 under two scenarios of global carbon neutrality by 2060 and 2050, i.e., moderate green (MODGREEN) and strong green (STRGREEN) recovery scenarios, relative to the baseline scenario (FOSSIL), based on multi-model large ensemble climate projections from a new climate model intercomparison project (CovidMIP) that endorsed by CMIP6. We show that global population exposure to extreme heat stress increases by approximately four times its current level during 2040-2049 under the FOSSIL scenario, whereas the heat exposure could be reduced by as much as 12 % and 23 % under the MODGREEN and STRGREEN scenarios, respectively. Moreover, global mean heat-related mortality risk is mitigated by 14 % (24 %) under the MODGREEN (STRGREEN) scenario during 2040-2049 relative to the FOSSIL scenario. Additionally, the aggravating heat risk could be mitigated by around a tenth by achieving carbon neutrality 10 years earlier (2050 versus 2060). In terms of spatial pattern, this heat-risk avoidance from low-carbon policies is typically greater in low-income countries. Our findings assist governments in advancing early climate change mitigation policy-making.
Environmental factors such as meteorological conditions and air pollutants are recognized as important for human health, where mortality and morbidity of certain diseases may be related to abrupt climate change or air pollutant concentration. In the literature, environmental factors have been identified as risk factors for chronic diseases such as ischemic heart disease. However, the likelihood evaluation of the disease occurrence probability due to environmental factors is missing. METHOD: We defined people aged 51-90 years who were free from ischemic heart disease (ICD9: 410-414) in 1996-2002 as the susceptible group. A Bayesian conditional logistic regression model based on a case-crossover design was utilized to construct a risk information system and applied to data from three databases in Taiwan: air quality variables from the Environmental Protection Administration (EPA), meteorological parameters from the Central Weather Bureau (CWB), and subject information from the National Health Insurance Research Database (NHIRD). RESULTS: People living in different geographic regions in Taiwan were found to have different risk factors; thus, disease risk alert intervals varied in the three regions. CONCLUSIONS: Disease risk alert intervals can be a reference for weather bureaus to issue health warnings. With early warnings, susceptible groups can take measures to avoid exacerbation of disease when meteorological conditions and air pollution become hazardous to their health.
Insufficient sleep is known to have an impact on health, wellbeing, and productivity. Sleep has been explored extensively in the medical literature but has received scant attention in the built environment journals. With the climate becoming unpredictable, combined with the climate emergency and concerns over energy poverty, questions need to be asked about the suitability of the housing stock and, especially, bedrooms. This is pertinent for vulnerable individuals (e.g., very young, elder members of society, and those with medical conditions) who may be unable to adapt their sleep environment in extreme and prolonged heat events. The aim of this narrative review is to raise awareness of the complex inter-relationship between the sleeper and the bedroom in domestic properties. It highlights the vulnerability of sleepers and the need for adaptation strategies to cope with extreme heat events without resorting to mechanical air conditioning. It emphasises the need for interdisciplinary research to better inform stakeholders of the risks posed to sleep quality by climate change, and contributes positively to the promotion of health.
Climate change has led to significant health effects. This study uses data from the China Health and Nutrition Survey (CHNS) to analyze the effects of extreme heat on health. The results show that extreme heat increases morbidity, disease severity, hospitalization, and treatment costs. Each additional day of extreme high temper-ature leads to an increase of approximately CNY 38.97 million in health expenditure, which is a non-negligible health cost. We further consider the environmental migration situation and model specifications, and the results remain consistent. In addition, we find that male, rural, and unemployed residents are more vulnerable to extreme heat. Education and income can moderate the negative effects of extreme heat, while increasing age increases the health effects of extreme heat. In addition to the negative health effects of extreme heat, we find that extreme heat affects individual health by reducing physical activity and reducing walking commutes.
The demand for inexpensive and reliable warning systems has increased in recent years as a result of the increase in the number and severity of flood disasters. A new generation of low-cost sensors for flood monitoring and warning is being developed by the federal government and private sectors, in some cases collaboratively. We perform a benefit-cost analysis of this new product category, (i.e., low-cost flood inundation sensors), which can readily be deployed in a wireless or internet of things network. The use of these sensors can improve the coverage and lengthen the lead time of flood warning systems. The production costs of this new technology are only a fraction of those of existing sensors with similar capability and reliability, and operating costs are modest. Benefits depend on such factors as the ability to improve lead times of warnings to reduce property damage, deaths, and injuries from floods as well as the extent of adoption of the new sensors. Our analysis indicates a benefit-cost ratio of 1.4 to 1. However, our results are based on several assumptions. Hence, we have undertaken extensive sensitivity analyses to determine that our results are robust.
Extreme weather events and extreme poverty are two sides of the same coin, with far-reaching consequences for emerging nations like Pakistan. Rural people are more likely to experience poverty and inequality as climate change worsens. This research aspires to close the gap between environmental ethics and justice by investigating how climate change issues contribute to poverty in Pakistan. The study used Robust Least Squares (RLS) regression to analyze the impact of water scarcity, extreme temperatures, and excessive rainfall on rural poverty in Pakistan from 1990Q1 to 2022Q4. Further, the study examines the effect of environmental justice interventions, access to healthcare and education, agricultural value-added and agricultural mechanization on the country’s rural poverty. Results reveal that climate change contributes to rural poverty in Pakistan, while environmental justice initiatives, healthcare access, and agricultural automation alleviate poverty incidence. The Impulse Response Function (IRF) estimates suggested that rural poverty will be exacerbated over the next decade by water scarcity, high temperatures, and low agricultural value added but alleviated by excessive rainfall, environmental justice intervention, healthcare access, and agricultural mechanization. According to Variance Decomposition Analysis (VDA) projections, agricultural value added will substantially impact rural poverty by 2032, increasing it by 11.431%. Addressing these problems requires policymakers to prioritize the interests of the most marginalized groups by fostering fair results. Policies should cut GHG emissions and encourage sustainable development to combat climate change. Modernizing farming techniques and expanding access to healthcare are also necessary for increasing efficiency and production. It is essential to execute environmental justice interventions so that all communities have access to environmental resources and protections equitably. Promoting equitable outcomes and reducing poverty in Pakistan’s climate change context may be achieved by closing the gap between environmental ethics and justice.
Climate change has captured much attention, but it is just one part of a much larger set of massive and rapid global ecological changes. While the United Nations has taken to referring to the “triple planetary crisis” of climate change, biodiversity loss, and pollution, even this does not capture the full extent of human impact upon the Earth-and thus upon human well-being. Canada’s ecological footprint is equivalent to five planets worth of biocapacity, and healthcare’s footprint is probably greater. So while health systems need to become low-carbon or net-zero, they need to go further. If healthcare is to stand by its ethical duty to do no harm, it must become a “One Planet” system. In addition to becoming a net-zero system, healthcare must reduce the consumption of material resources, the use of toxic substances, and production of all forms of waste, and protect and restore nature.
Our ability to tackle the looming human, animal, and global ecosystem health threats arising from the issues of climate change and extreme weather events will require effective and creative cross-disciplinary collaboration. There is a growing national and international interest in equipping the next generation of clinicians and health scientists for success in facing these important challenges by providing interprofessional training opportunities. This paper describes how we assembled an interdisciplinary team of experts to design and deliver a case-based discussion on a cross-species illness outbreak in animals and humans using a One Health framework. The small group, case-based approach highlighted the impact of climate change-driven extreme weather events on human and animal health using a diarrhea outbreak associated with a contaminated community water supply precipitated by extreme flooding. Post-activity survey data indicated that this team-taught learning activity successfully engaged a cross-disciplinary cohort of medical, veterinary, and public health students in the issues of environmental public health threats and helped them understand the importance of an integrative, cross-functional, team-based approach for solving complex problems. The data from this study is being used to plan similar interprofessional, One Health learning activities across the health sciences curriculum in our institution.
The concentration of human activities in urban areas, increasing greenhouse gas emissions, and high global temperature values in urban areas have accelerated the research on global warming. They are the most widely used bioclimatic indices to describe the level of thermal sensation experienced by a person due to the changing climatic conditions of an urban area. Thermal comfort is an interdisciplinary spatial issue and a parameter directly affecting urban outdoor land uses. Thom’s discomfort index was used to simulate two different climate change scenarios. This study aimed to predict the temporal and spatial changes of surface temperature, relative humidity, and bioclimatic comfort zones of Kocaeli province in terms of climate comfort in the context of SSP 245 and SSP 585 scenarios of IPCC. The current bioclimatic comfort areas throughout the region and their possible situations in 2040, 2060, 2080, and 2100 were modeled using ArcGIS 10.8 software. In the current map, 79.6% of the city consists of cool areas, 18.6% of cold, and 1.8% of comfortable regions. According to the SSP 245 scenario for the year 2100, it is observed that the cool and cold areas warm up, and the comfortable areas increase to 23.5%. According to the SSP 585 scenario, it was determined that comfortable areas reached 82.6%, and hot areas were formed in the province. The geographical structure’s effect on the regions’ heating draws attention.
Scrub typhus, also known as Tsutsugamushi disease, is a climate-sensitive vector-borne disease that poses a growing public health threat. However, studies on the association between scrub typhus epidemics and meteorological factors in South Korea need to be complemented. Therefore, we aimed to analyze the association among ambient temperature, precipitation, and the incidence of scrub typhus in South Korea. First, we obtained data on the weekly number of scrub typhus cases and concurrent meteorological variables at the city-county level (Si-Gun) in South Korea between 2001 and 2019. Subsequently, a two-stage meta-regression analysis was conducted. In the first stage, we conducted time-series regression analyses using a distributed lag nonlinear model (DLNM) to investigate the association between temperature, precipitation, and scrub typhus incidence at each location. In the second stage, we employed a multivariate meta-regression model to combine the association estimates from all municipalities, considering regional indicators, such as mite species distribution, Normalized Difference Vegetation Index (NDVI), and urban-rural classification. Weekly mean temperature and weekly total precipitation exhibited a reversed U-shaped nonlinear association with the incidence of scrub typhus. The overall cumulative association with scrub typhus incidence peaked at 18.7 C° (with RRs of 9.73, 95% CI: 5.54-17.10) of ambient temperature (reference 9.7 C°) and 162.0 mm (with RRs of 1.87, 95% CI: 1.02-3.83) of precipitation (reference 2.8 mm), respectively. These findings suggest that meteorological factors contribute to scrub typhus epidemics by interacting with vectors, reservoir hosts, and human behaviors. This information serves as a reference for future public health policies and epidemiological research aimed at controlling scrub typhus infections.
Landscape fires are increasing in frequency and severity globally. In Australia, extreme bushfires cause a large and increasing health and socioeconomic burden for communities and governments. People with asthma are particularly vulnerable to the effects of landscape fire smoke (LFS) exposure. Here, we present a position statement from the Thoracic Society of Australia and New Zealand. Within this statement we provide a review of the impact of LFS on adults and children with asthma, highlighting the greater impact of LFS on vulnerable groups, particularly older people, pregnant women and Aboriginal and Torres Strait Islander peoples. We also highlight the development of asthma on the background of risk factors (smoking, occupation and atopy). Within this document we present advice for asthma management, smoke mitigation strategies and access to air quality information, that should be implemented during periods of LFS. We promote clinician awareness, and the implementation of public health messaging and preparation, especially for people with asthma.
Previous studies have reported an association between warm temperature and asthma hospitalisation. They have reported different sex-related and age-related vulnerabilities; nevertheless, little is known about how this effect has changed over time and how it varies in space. This study aims to evaluate the association between asthma hospitalisation and warm temperature and investigate vulnerabilities by age, sex, time and space. METHODS: We retrieved individual-level data on summer asthma hospitalisation at high temporal (daily) and spatial (postcodes) resolutions during 2002-2019 in England from the NHS Digital. Daily mean temperature at 1 km×1 km resolution was retrieved from the UK Met Office. We focused on lag 0-3 days. We employed a case-crossover study design and fitted Bayesian hierarchical Poisson models accounting for possible confounders (rainfall, relative humidity, wind speed and national holidays). RESULTS: After accounting for confounding, we found an increase of 1.11% (95% credible interval: 0.88% to 1.34%) in the asthma hospitalisation risk for every 1°C increase in the ambient summer temperature. The effect was highest for males aged 16-64 (2.10%, 1.59% to 2.61%) and during the early years of our analysis. We also found evidence of a decreasing linear trend of the effect over time. Populations in Yorkshire and the Humber and East and West Midlands were the most vulnerable. CONCLUSION: This study provides evidence of an association between warm temperature and hospital admission for asthma. The effect has decreased over time with potential explanations including temporal differences in patterns of heat exposure, adaptive mechanisms, asthma management, lifestyle, comorbidities and occupation.
Diagnosing dynamical changes in the climate system, such as those in atmospheric circulation patterns, remains challenging. Here, we study 1950 to 2021 trends in the frequency of occurrence of atmospheric circulation patterns over the North Atlantic. Roughly 7% of atmospheric circulation patterns display significant occurrence trends, yet they have major impacts on surface climate. Increasingly frequent patterns drive heatwaves across Europe and enhanced wintertime storminess in the northern part of the continent. Over 91% of recent heatwave-related deaths and 33% of high-impact windstorms in Europe were concurrent with increasingly frequent atmospheric circulation patterns. While the trends identified are statistically significant, they are not necessarily anthropogenic. Atmospheric patterns which are becoming rarer correspond instead to wet, cool summer conditions over northern Europe and wet winter conditions over continental Europe. The combined effect of these circulation changes is that of a strong, dynamically driven year-round warming over most of the continent and large regional and seasonal changes in precipitation and surface wind.
Changes in climate and land-use may elicit an increased emission of allergenic pollen amounts in the air, causing a rise in respiratory allergies and affecting public health more than previously thought. Here we have used a well -established pollen transport model SILAM (System for Integrated modeLling of Atmospheric coMposition) for attributing the long-term changes in airborne pollen concentrations of birches and grasses to climate change and vegetation dynamics. The pollen transport model is applied for Belgium and is driven by ECMWF ERA5 mete-orological data (European Centre for Medium-Range Weather Forecasts, fifth generation of ECMWF atmospheric reanalysis of the global climate). The dynamic vegetation components of the model are based on multi-decadal datasets for 1982-2019 on spatially distributed birch and grass pollen emission sources. For each model gridcell we have computed the change rate of the seasonal birch and grass pollen cycles based on daily pollen concen-trations, and of the daily meteorological model input. Finally, the gridcell based association between trends in pollen and climate change are derived. Our findings show that during the period 1982-2019 a strong increase in birch pollen concentrations is associated with increasing radiation, decreasing precipitation and decreasing horizontal wind speed near the surface. A strong decrease of grass pollen concentrations over time is driven by a decreasing trend in grass pollen sources, and it is also associated with decreasing precipitation. The magnitude of the associations between meteorology and airborne birch pollen concentrations are almost twice the association between meteorology and grass pollen, and the spatial variations are substantial even on the scales of small countries. The specific contribution of birch tree and pollen production dynamics to the concentrations of birch pollen in the air over time is highly associated with wind speed and precipitation. Introducing the inter-seasonal variation in birch pollen production during the period 1982-2019 intensifies the climate induced increase of airborne birch pollen concentrations with-6%. In contrast, the grass pollen production dynamics resulted into-10 times less grass pollen over the studied period compared to climate change effects.
There is increasing public health focus on how corporate practices impact population health and well-being. While the commercial determinants of the climate crisis pose serious threats to human and planetary health, governments largely seek to balance climate action with economic imperatives. Global stakeholders recognize that young people have important voices in influencing climate responses. However, few studies have investigated young people’s perceptions of the commercial determinants of the climate crisis. A qualitatively led online survey of n = 500 young Australians (15-24 years) investigated their understanding of corporate responses to the climate crisis, factors that influenced these responses and strategies to respond. A reflexive approach to thematic analysis was used. Three themes were constructed from the data. First, young people perceived that corporate responses to the climate crisis focussed on soft options and lacked meaningful action. Second, they stated that these responses were largely influenced by economic imperatives rather than planetary health, with policy levers needed to implement environmentally responsible corporate practices. Third, young people perceived that systems needed change to create demand for a cleaner environment, leading to improved practices. Young people have a clear understanding of the commercial determinants of the climate crisis and associated threats to population health. They recognize that corporate practices (and consumer demand) will not change without significant policy and structural change. Public health and health promotion stakeholders should work alongside young people to influence decision-makers to address harmful corporate behaviours.
We advance a recent comprehensive model of climate change risk perceptions by investigating the role of media in shaping individuals’ health risk perceptions. Results from a national survey in Australia (n = 1023) show that perceived health risks associated with climate change are related but distinct from perceived harm to self and society as measured in previous risk perception studies. Moreover, the full model explains 47% variance in health risks and 74% in perceived harm; While experiential processes (21%) account for about half of the variance in health risks, cognitive factors explain the largest share of variance in perceived harm (32%). Media processes explain a 10% variance in health risks and a 14% variance in perceived harm. News interest and media exposure to extreme weather events are significant to understand public health risks and harm perceptions, even after accounting for several other socio-demographic, cognitive, experiential, and socio-cultural factors. Findings support a conditional media effects model. Media can, directly and indirectly, affect public health risk perceptions by providing vicarious experience opportunities and information that Australians are looking for in the media about climate change.
Though building-scale energy demand and indoor thermal comfort have been extensively covered by recent studies, the automation of middle- and larger-scale outdoor microclimate evaluation in parametric design is less covered. The relatively slow computation and the need for sophisticated expertise are some of the current issues. This paper proposes a Rhino-Grasshopper custom script to automatically compute spatial indicators for a quick thermal comfort estimation. The Galapagos evolutionary algorithm is used to optimize thermal comfort and select the best combinations of spatial indicators. In a summer case study located in Shantou, China, the proposed workflow was three times faster than a non-automated indicator calculation in ArcGIS, while the optimization method achieved 25% to 33% reduction in land areas under extreme heat stress. This automated process applies to existing states and new urban designs. It is adaptable to customized prediction models under different climatic zones.
In this review, we first assess the state of agricultural health and safety research as it pertains to the dynamic challenges facing automating agriculture on a warming planet. Then, we turn to social science fields such as rural sociology, science and technology studies, and environmental studies to leverage relevant insights on the introduction of new technologies, environmental risks, and associated workplace hazards. Increased rates of automation in agriculture alongside new risks associated with climate change create the need for anticipatory governance and adaptive research to study novel mechanisms of worker health and safety. The use of the PRISMA framework led to the 137 articles for our review. We identify three themes in the literature on agricultural health and safety: (1) adoption outcomes, (2) discrete cases of health risks, and (3) an emphasis on care and wellbeing in literature on dairy automation Our review led to the identification of research gaps, noting that current research (a) tends to examine these forces separately, instead of together, (b) has not made robust examination of these forces as socially embedded, and (c) has hesitated to examine the broad, transferable themes for how these forces work across industries. In response to these gaps, we suggest that attention to outside disciplines may provide agricultural health and safety research with a toolset to examine needed inquiry into the multiplicity of experiences of rural stakeholders, the industry specific problems arising from automation and climate change, and the socially embedded aspects of agricultural work in the future.
Although the association between ambient temperature and mortality in local populations is evident, this relationship remains unclear in transient populations (e.g., due to immigration, mass gatherings, or displacement). The holy city of Mecca annually shelters two populations comprising its residents and the transitory Hajj pilgrims ( > 2 million people from > 180 countries). Both live side by side in a hot desert climate, rendering the development of evidence-based heat-protective measures challenging. OBJECTIVES: We aimed to characterize the ambient temperature-mortality relationship and burden for the Mecca resident and Hajj transient populations, which have distinct levels of adaptation to ambient temperature. METHODS: We analyzed daily air temperature and mortality data for Mecca residents and pilgrims over nine Hajj seasons between 2006 and 2014, using a fitted standard time-series Poisson model. We characterized the temperature-mortality relationship with a distributed lag nonlinear model with 10 d of lag. We determined the minimum mortality temperature (MMT) and attributable deaths for heat and cold for the two populations. RESULTS: The median average daily temperature during the Hajj seasons was 30°C (19°C-37°C). There were 8,543 and 10,457 nonaccidental deaths reported during the study period among Mecca residents and pilgrims, respectively. The MMT was 2.5°C lower for pilgrims in comparison with the MMT for Mecca residents (23.5°C vs. 26.0°C). The temperature-mortality relationship shape varied from inverted J to U shape for the Mecca and pilgrim populations, respectively. Neither hot nor cold temperatures had a statistically significant association with mortality in Mecca residents. In contrast, for pilgrims, elevated temperatures were associated with significantly high attributable mortality of 70.8% [95% confidence interval (CI): 62.8, 76.0]. The effect of heat on pilgrims was immediate and sustained. DISCUSSION: Our findings indicate that pilgrims and Mecca residents exposed to the same hot environmental conditions exhibited distinct health outcomes. This conclusion suggests that a precision public health approach may be warranted to protect against high environmental temperature during mass gatherings of diverse populations. https://doi.org/10.1289/EHP9838.
IMPORTANCE: Intimate partner violence (IPV), including physical, sexual, and emotional violence, constitutes a critical public health problem, particularly in low- and middle-income countries. While climate change could escalate violent events, data quantifying its possible association with IPV are scant. OBJECTIVE: To evaluate the association of ambient temperature with the prevalence of IPV among partnered women in low- and middle-income countries in South Asia, and to estimate the association of future climate warming with IPV. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study used data from the Demographic and Health Survey and included 194 871 ever-partnered women aged 15 to 49 years from 3 South Asian countries (India, Nepal, and Pakistan). The study applied the mixed-effect multivariable logistic regression model to investigate the association of ambient temperature with IPV prevalence. The study further modeled the change in IPV prevalence under various future climate change scenarios. The data included in the analyses were collected from October 1, 2010, to April 30, 2018, and the current analyses were performed from January 2, 2022, to July 11, 2022. EXPOSURE: Annual ambient temperature exposure for each woman, estimated based on an atmospheric reanalysis model of the global climate. MAIN OUTCOMES AND MEASURES: The prevalence of IPV and its types (physical, sexual, and emotional violence) were assessed based on self-reported questionnaires from October 1, 2010, to April 30, 2018, and the changes in the prevalence with climate changes were estimated through the 2090s. RESULTS: The study included 194 871 ever-partnered women aged 15 to 49 years (mean [SD] age, 35.4 [7.6] years; overall IPV prevalence, 27.0%) from 3 South Asian countries. The prevalence of physical violence was highest (23.0%), followed by emotional (12.5%), and sexual violence (9.5%). The annual temperature ranges were mostly between 20 °C and 30 °C. A significant association was found between high ambient temperature and the prevalence of IPV against women, with each 1 °C increase in the annual mean temperature associated with a mean increase in IPV prevalence of 4.49% (95% CI, 4.20%-4.78%). According to the study’s projections under the unlimited emissions scenarios (SSPs [shared socioeconomic pathways], as defined by the Intergovernmental Panel on Climate Change] 5-8.5), IPV prevalence would increase by 21.0% by the end of the 21st century, while it would only moderately increase under increasingly stricter scenarios (SSP2-4.5 [9.8%] and SSP1-2.6 [5.8%]). In addition, the projected increases in the prevalence of physical (28.3%) and sexual (26.1%) violence were greater than that of emotional violence (8.9%). In the 2090s, India was estimated to experience the highest IPV prevalence increase (23.5%) among the 3 countries, compared with Nepal (14.8%) and Pakistan (5.9%). CONCLUSIONS AND RELEVANCE: This cross-sectional, multicountry study provides ample epidemiological evidence to support that high ambient temperature may be associated with the risk of IPV against women. These findings highlight the vulnerabilities and inequalities of women experiencing IPV in low- and middle-income countries in the context of global climate warming.
BACKGROUND: Climate change influences the incidence and scope of climate extreme events that affect communities and the environment around the world. In an urban context such as Barcelona, these climate extremes can have a negative impact on drinking water quality. The worsening of drinking water quality can have important repercussions on human health, leading to the appearance of different diseases. OBJECTIVE: Investigate the association between climate extremes, in particular heavy rainfall events and drought conditions, and the drinking water quality in the city of Barcelona from 2010 to 2022. METHODS: We conducted a daily retrospective time-series study using data covering 13 years of daily monitoring of conductivity, nickel, turbidity and trihalomethanes parameters of raw water in the Llobregat River catchment area and treated water in the Drinking Water Treatment Plant (DWTP) Sant Joan Despí. We used river flow as a proxy for drought conditions and heavy rainfall events. We analyzed short-term associations between river flow rate and quality parameters in raw and treated water using generalized linear regression with distributed lag-non-linear models (DLNM). RESULTS: A low flow, as an indicator of drought condition or low rainfall, was significantly associated with an increase in conductivity in raw water and nickel in both raw and treated water. A high flow, as an indicator of heavy rainfall events, was significantly associated with an increase of turbidity in raw water, and a decrease in all other quality parameters. IMPACT STATEMENT: This study provides novel evidence that climate extremes have an impact on the quality of drinking water in urban areas with a Mediterranean climate. The findings of this study are significant because they suggest that as the frequency and intensity of climate extremes increase due to climate change, there will be further challenges in managing and treating drinking water, which could have a detrimental effect on public health. This study serves as an important reminder of the need to strengthen and accelerate adaptation actions in water management to ensure an adequate supply of drinking water that protects the people’s health.
IMPORTANCE: Little is known about long-term associations of early-life exposure to extreme temperatures with child health and lung function. OBJECTIVES: To investigate the association of prenatal and postnatal heat or cold exposure with newborn lung function and identify windows of susceptibility. DESIGN, SETTING, AND PARTICIPANTS: This population-based cohort study (SEPAGES) recruited pregnant women in France between July 8, 2014, and July 24, 2017. Data on temperature exposure, lung function, and covariates were available from 343 mother-child dyads. Data analysis was performed from January 1, 2021, to December 31, 2021. EXPOSURES: Mean, SD, minimum, and maximum temperatures at the mother-child’s residence, estimated using a state-of-the-art spatiotemporally resolved model. MAIN OUTCOMES AND MEASURES: Outcome measures were tidal breathing analysis and nitrogen multiple-breath washout test measured at 2 months of age. Adjusted associations between both long-term (35 gestational weeks and first 4 weeks after delivery) and short-term (7 days before lung function test) exposure to ambient temperature and newborn lung function were analyzed using distributed lag nonlinear models. RESULTS: A total of 343 mother-child pairs were included in the analyses (median [IQR] maternal age at conception, 32 [30.0-35.2] years; 183 [53%] male newborns). A total of 246 mothers and/or fathers (72%) held at least a master’s degree. Among the 160 female newborns (47%), long-term heat exposure (95th vs 50th percentile of mean temperature) was associated with decreased functional residual capacity (-39.7 mL; 95% CI, -68.6 to -10.7 mL for 24 °C vs 12 °C at gestational weeks 20-35 and weeks 0-4 after delivery) and increased respiratory rate (28.0/min; 95% CI, 4.2-51.9/min for 24 °C vs 12 °C at gestational weeks 14-35 and weeks 0-1 after delivery). Long-term cold exposure (5th vs 50th percentile of mean temperature) was associated with lower functional residual capacity (-21.9 mL; 95% CI, -42.4 to -1.3 mL for 1 °C vs 12 °C at gestational weeks 15-29), lower tidal volume (-23.8 mL; 95% CI, -43.1 to -4.4 mL for 1 °C vs 12 °C at gestational weeks 14-35 and weeks 0-4 after delivery), and increased respiratory rate (45.5/min; 95% CI, 10.1-81.0/min for 1 °C vs 12 °C at gestational weeks 6-35 and weeks 0-1 after delivery) in female newborns as well. No consistent association was observed for male newborns or short-term exposure to cold or heat. CONCLUSIONS AND RELEVANCE: In this cohort study, long-term heat and cold exposure from the second trimester until 4 weeks after birth was associated with newborn lung volumes, especially among female newborns.
Introduction The earth has experienced significant shifts in climate patterns over the past few years. The main aim of this investigation was to establish the association between the sociodemographic factors on the extent of knowledge, perspectives, and awareness of the urban population in Delhi and the phenomenon of climate change. Materials and methods This study was conducted on 1,200 individuals residing in Delhi, India, who were given a well-organized validated questionnaire to gather data. The relationship between different factors influencing awareness and climate change was evaluated using the chi-square test. Results The investigation’s findings revealed that the younger generations exhibited heightened consciousness as a result of the impact of education and social media, both of which possess an exceedingly significant role in the dissemination of awareness. Additional elements that influenced the participants’ awareness regarding climate change encompassed their educational attainment, profession, and financial resources, which were noticeably more advantageous for the upper and upper-middle social strata. A majority of the respondents, amounting to 65%, hailed from the middle class, with 61% of them holding degrees. The majority of the respondents were well-informed about climate change, with a predominant percentage falling within the age range of 21-40 years (77%) and over the age of 61 years (73%). Notably, 92% of the respondents belonging to the upper class exhibited awareness of climate change. About 52% of the respondents expressed a moderate level of concern towards climate change. Conclusions The analysis revealed that most individuals possessed knowledge regarding the impact of climate change on their way of life. Consequently, they acknowledged the significance of acquiring a more comprehensive understanding of climate change.
OBJECTIVE: Growing evidence suggests that environmental heat stress negatively influences fetal growth and pregnancy outcomes. However, few studies have examined the impact of heat stress on pregnancy outcomes in low-resource settings. We combined data from a large multi-country maternal-child health registry and meteorological data to assess the impacts of heat stress. DESIGN: Retrospective cohort study. SETTING: Three sites based in south Asia as part of the Global Network for Women’s and Children’s Health research in India (Belagavi and Nagpur) and Pakistan (Thatta). POPULATION OR SAMPLE: Data from women enrolled between 2014 and 2020 in the Global Network’s Maternal Newborn Health Registry (MNHR), a prospective, population-based registry of pregnancies, were used. METHODS: A total of 126 273 pregnant women were included in this analysis. Daily maximal air temperatures (T(max) ) were acquired from local meteorological records. Associations between averages of daily maximal temperatures for each trimester and main outcomes were analysed using a modified Poisson regression approach. MAIN OUTCOMES MEASURES: Incidence of stillbirth, preterm birth, low birthweight (<2500 g) or evidence of pregnancy hypertension or pre-eclampsia. RESULTS: In the overall cohort, risk of preterm birth was positively associated with greater temperature in the second trimester (relative risk [RR] 1.05, 95% CI 1.02-1.07, p = 0.0002). Among individual sites, the risk of preterm birth was greatest in Nagpur (RR 1.07, 95% CI 1.03-1.11, p = 0.0005) and associated with second-trimester temperature. The overall risk of low birthweight was associated with ambient temperature in second trimester (RR 1.02, 95% CI 1.01-1.04, p = 0.01). The risk for LBW was associated with first-trimester heat in Thatta and with second-trimester heat in Nagpur. Finally, the overall risk of gestational hypertensive disease was associated with greater temperature in the third trimester among all sites (RR 1.07, 95% CI 1.02-1.12, p = 0.005) and was particularly significant for Nagpur (RR 1.13, 95% CI 1.05-1.23, p = 0.002). These findings highlight the increased risk of detrimental obstetric and neonatal outcomes with greater temperature. CONCLUSION: In a multi-country, community-based study, greater risk of adverse outcomes was observed with increasing temperature. The study highlights the need for deeper understanding of covarying factors and intervention strategies, especially in regions where high temperatures are common.
BACKGROUND: Hypertensive disorders in pregnancy (HDP) are a major cause of maternal mortality and morbidity. Recent studies indicated that pregnant women are the most vulnerable populations to ambient temperature influences, but it affected HDP with inconsistent conclusions. Our objective is to systematically review whether extreme temperature exposure is associated with a changed risk for HDP. METHOD: We searched PubMed, EMBASE, Web of Science and Cochrane Library databases. We included cohort or case control studies examining the association between extreme temperature exposure before or during pregnancy and HDP. Heat sources such as saunas and hot baths were excluded. We pooled the odds ratio (OR) to assess the association between extreme temperature exposure and preeclampsia or eclampsia. RESULTS: Fifteen studies involving 4,481,888 patients were included. Five studies were included in the meta-analysis. The overall result demonstrated that in the first half of pregnancy, heat exposure increases the risk of developing preeclampsia or eclampsia and gestational hypertension, and cold exposure decreases the risk. The meta-analysis revealed that during the first half of pregnancy, heat exposure increased the risk of preeclampsia or eclampsia (OR 1.54, 95% confidence interval (CI): 1.10, 2.15), whereas cold exposure decreased the risk (OR 0.90, 95% CI: 0.84, 0.97). CONCLUSION: The ambient temperature is an important determinant for the development of HDP, especially for preeclampsia or eclampsia. The effects of extreme temperatures may be bidirectional during the different trimesters of pregnancy, which should be evaluated by future studies. This review provided hints of temperature regulation in HDP administration.
Climate change poses a serious threat to human health worldwide, while aging populations increase. However, no study has ever investigated the effects of air temperature on epigenetic age acceleration. This study involved 1,725 and 1,877 participants from the population-based KORA F4 (2006-2008) and follow-up FF4 (2013-2014) studies, respectively, conducted in Augsburg, Germany. The difference between epigenetic age and chronological age was referred to as epigenetic age acceleration and reflected by Horvath’s epigenetic age acceleration (HorvathAA), Hannum’s epigenetic age acceleration (HannumAA), PhenoAge acceleration (PhenoAA), GrimAge acceleration (GrimAA), and Epigenetic Skin and Blood Age acceleration (SkinBloodAA). Daily air temperature was estimated using hybrid spatiotemporal regression-based models. To explore the medium- and long-term effects of air temperature modeled in time and space on epigenetic age acceleration, we applied generalized estimating equations (GEE) with distributed lag non-linear models, and GEE, respectively. We found that high temperature exposure based on the 8-week moving average air temperature (97.5th percentile of temperature compared to median temperature) was associated with increased HorvathAA, HannumAA, GrimAA, and SkinBloodAA: 1.83 (95% CI: 0.29-3.37), 11.71 (95% CI: 8.91-14.50), 2.26 (95% CI: 1.03-3.50), and 5.02 (95% CI: 3.42-6.63) years, respectively. Additionally, we found consistent results with high temperature exposure based on the 4-week moving average air temperature was associated with increased HannumAA, GrimAA, and SkinBloodAA: 9.18 (95% CI: 6.60-11.76), 1.78 (95% CI: 0.66-2.90), and 4.07 (95% CI: 2.56-5.57) years, respectively. For the spatial variation in annual average temperature, a 1 °C increase was associated with an increase in all five measures of epigenetic age acceleration (HorvathAA: 0.41 [95% CI: 0.24-0.57], HannumAA: 2.24 [95% CI: 1.95-2.53], PhenoAA: 0.32 [95% CI: 0.05-0.60], GrimAA: 0.24 [95%: 0.11-0.37], and SkinBloodAA: 1.17 [95% CI: 1.00-1.35] years). In conclusion, our results provide first evidence that medium- and long-term exposures to high air temperature affect increases in epigenetic age acceleration.
Background: Prior studies have shown that meteorological factors may be associated with increases in legion-ellosis (Legionnaire’s disease, (LD)), caused by Legionella, a globally ubiquitous bacterium found naturally in aquatic habitats, soils, and compost. The aim of this retrospective time series analysis was to examine the as-sociation between meteorological factors and air pollution parameters and the incidence of sporadic, community -acquired, laboratory confirmed LD.Methods: Daily cases of community-acquired legionellosis, meteorological and air pollution data from two urban areas, Auckland (North Island) and Christchurch (South Island) were collected from January 1, 1997 until December 31, 2020. Using Quasi-Poisson regression, associations between symptom onset and meteorological and air pollution variables were investigated using an interrupted time series analysis.Results: The two cities had different meteorological conditions and LD epidemiology and seasonal patterns of Legionella spp. LD incidence rates (per 100,000 population) were higher in Christchurch than Auckland for L. pneumophila (25.8 vs 10.8) and L.longbeachae (78.2 vs 4.9). Seasonal patterns were detected in Christchurch with a higher risk of LD during spring and summer (RR: 1.87, 95% CI: 1.42, 2.49) compared to autumn and winter months. In Auckland, the level of particulate matter 9-10 days prior to the onset date was positively associated with LD occurrence (RR: 1.02, 95% CI: 1.00, 1.04) compared to Christchurch, where Tmax recorded one day prior the onset (RR: 1.03, 95% CI: 1.00, 1.07) and sulphur dioxide 6 days prior to the onset date (RR: 1.27, 95% CI: 1.10, 1.45) were positively associated with LD occurrence. Atmospheric pressure 12 days prior (RR: 0.95, 95% CI: 0.90, 1.00) and wind speed 13 days prior (RR: 0.94, 95% CI: 0.89, 0.99) to the onset date were negatively associated with LD risk. In both cities, no association was detected between the level of precipitation and LD risk.Conclusions: Meteorological factors and air pollutants were associated with the risk of LD. However, different seasonal patterns and prevalent LD species seem to have distinct patterns of association between the two cate-gories of exposures. These findings suggest the importance of considering meteorological and air quality con-ditions in conjunction with the source of exposure and the LD species involved. They also imply potential climate change impacts on LD and benefits from reducing air pollution, though findings need to be replicated in other geographical regions.
Urbanisation has changed local meteorological conditions worldwide. The physical features of outdoor spaces are critical in determining outdoor thermal comfort through changes in meteorological parameters. Past studies comparing subjective thermal perception between local climate zones (LCZ) were mainly conducted in humid subtropical regions. This study aims to investigate this relationship using outdoor thermal comfort survey data collected in three research projects in Melbourne, Australia (temperate oceanic climate) (n = 4717). The physical features investigated included the sky view factor (SVF) and LCZ classification. During Melbourne’s summer, people preferred a higher PET value than neutral PET across all LCZs. People in urban green spaces (LCZs B and C) were more likely to feel ‘neutral’ when Physiological Equivalent Temperature (PET) was 15.5 degrees C-24.5 degrees C and less likely to feel ‘slightly warm to hot’ when PET was 24.6 degrees C-55.6 degrees C. Furthermore, LCZ 6 (LCZ C) reported the highest (lowest) percentage of unacceptable votes. Cluster analysis identified two thermal comfort patterns (neutral and warm groups) representing various thermal sensations and preferences. The thermal comfort pat-terns proportion differed between built LCZs (5, 6) and land cover LCZs (B, C). Logistic regression revealed that PET values and urban morphology (i.e., LCZ) contributed significantly to people’s thermal sensations and acceptability for neutral and warm groups. SVF significantly predicted the thermal sensation and acceptability for the warm group but not the neutral group. Our study approach informs further research to understand the implications of urban design in outdoor spaces using thermal comfort patterns as a benchmark.
The urgent need to adapt urban environments to extreme weather conditions due to global warming has become a priority when allocating European funds. Current regional retrofitting plans focus on improving the well-being of the most vulnerable families by upgrading their homes. However, as there is no adequate characterization of the environmental behaviour of housing stock, local agents in charge of the management of social housing lack a procedure to identify the urban areas most urgently in need of retrofitting.This research aims to present a protocol for evaluating the vulnerability to overheating of social housing stock at a regional scale, as a prioritization decision support system. Parametric tech-niques for Building Stock Modelling were used in the development of 3000 models located in four climatic zones of southern Spain to assess their thermal behaviour considering adaptive comfort equations. Moreover, an index of vulnerability to overheating has been defined by normalizing comfort assessment through cooling degree-days. The comfort assessment outcome corresponds more closely with the analysis of cooling degree-days than with the Spanish regulations’ climatic zoning. According to the results, in the hottest climatic zone, occupants frequently endure discomfort up to 40% of the summertime, with hourly deviations of up to 7 degrees C above the indoor temperature comfort range.
Previous studies have suggested that ambient temperature is associated with the morbidity and mortality of stroke although results among these investigations remained unclear. Therefore, the purpose of present meta-analysis was to summarize the evidence of the relationship between ambient temperature and stroke morbidity and mortality. METHODS: A systematic search of the PubMed, Embase, and Web of Science databases was from inception to April 13, 2022. The pooled estimates for heat ambient temperature and cold ambient temperature, which were defined as comparison between extreme hot or cold conditions and the reference or threshold temperature, were calculated utilizing a random-effects model. A total of 20 studies were included in the meta-analysis. RESULTS: The pooled estimated show that the heat ambient temperature was significant associated with 10% (relative risk [RR], 1.10; 95% confidence interval [95%CI]: 1.02-1.18) and 9% (RR, 1.09; 95%CI: 1.02-1.17) increase in the risk of stroke morbidity and mortality, respectively. In addition, the pooled estimated show that the cold ambient temperature was significant associated with 33% (RR, 1.33; 95%CI: 1.17-1.51) and 18% (RR, 1.18; 95%CI: 1.06-1.31) increase in the risk of stroke morbidity and mortality, respectively. CONCLUSION: Integrated epidemiological evidence supports the hypothesis that both heat and cold ambient temperature have positive association with the risk of stroke morbidity and mortality. Targeted measures should be promoted in public health to reduce this risk.
This systematic review examines current evidence on the association between extreme weather and child, early, and forced marriage (CEFM). Studies published in English between 1990 and 2022 were identified through ten databases, and independently screened for inclusion followed by data extraction, quality assessment, and narrative synthesis. Of the 20 studies included, CEFM was a major theme in the qualitative studies; quantitative and mixed-method studies noted a positive association between extreme weather and CEFM. Limitations include reporting bias, non-representative samples, and limited geographic coverage. Health professionals and social workers must recognize the complexities surrounding CEFM and extreme weather, which will worsen amid climate change.
This study explored the relationship between body temperature and adverse outcomes in patients with heat stroke to identify the optimal target body temperature within the first 24 h. This retrospective, multicentre study enrolled 143 patients admitted to the emergency department and diagnosed with heat stroke. The primary outcome was the in-hospital mortality rate, while secondary outcomes included the presence and number of damaged organs and neurological sequelae at discharge. A body temperature curve was built using a generalized additive mixed model, and the association between body temperatures and outcomes was established by logistic regression. The threshold and saturation effects were used to explore the targeted body temperature management. Cases were divided into the surviving and non-surviving groups. The cooling rate within the first 2 h was significantly higher in the survival group than the non-survival group (β: 0.47; 95% confidence interval [CI]: 0.09-0.84; P = 0.014), while the non-survival group exhibited a lower body temperature within 24 h (β: – 0.06; 95% CI: – 0.08 to – 0.03; P ≤ 0.001). Body temperature after 2 h (odds ratio [OR]: 2.27; 95% CI: 1.14-4.50; P = 0.019) and lowest temperature within 24 h (OR: 0.18; 95% CI: 0.06-0.55; P = 0.003) were significantly related to in-hospital mortality rate. When the body temperature at 0.5 h was 38.5-40.0 °C, the number of damaged organs was at its lowest. In patients with heat stroke, both hyperthermia and hypothermia were associated with adverse outcomes. Hence, an accurate body temperature management is required during the early stages of care.
OBJECTIVE: Despite an increase in the number of studies examining the association between extreme weather events and infectious diseases, evidence on respiratory infection remains scarce. This study examined the association between extreme rainfall and acute respiratory infection (ARI) in children aged <5 years in sub-Saharan Africa. SETTING: Study data were taken from recent (2006-2020) Demographic and Health Survey data sets from 33 countries in sub-Saharan Africa. PARTICIPANTS: 280 157 children aged below 5 years were included. OUTCOME MEASURES: The proportions of ARI according to individual, household and geographical characteristics were compared using the χ(2) test. The association between extreme rainfall (≥90th percentile) and ARI was examined using multivariate logistic regression for 10 of 33 countries with an adequate sample size of ARI and extreme rainfall events. The model was adjusted for temperature, comorbidity and sociodemographic factors as covariates. Stratification analyses by climate zone were also performed. RESULTS: The prevalence of ARI in children aged <5 years ranged from 1.0% to 9.1% across sub-Saharan Africa. By country, no significant association was observed between extreme rainfall and ARI, except in Nigeria (OR: 2.14, 95% CI 1.06 to 4.31). Larger effect estimates were observed in the tropical zone (OR: 1.13, 95% CI 0.69 to 1.84) than in the arid zone (OR: 0.72, 95% CI 0.17 to 2.95), although the difference was not statistically significant. CONCLUSION: We found no association between extreme rainfall and ARI in sub-Saharan Africa. Effect estimates tended to be larger in the tropical zone where intense rainfall events regularly occur. Comprehensive studies to investigate subsequent extreme climate events, such as flooding, are warranted in the future.
Little is known about the associations between long-term exposure to wildfire-related fine particulate matter (PM(2.5)) and mortality. We aimed to explore theses associations using the data from the UK Biobank cohort. Long-term wildfire-related PM(2.5) exposure was defined as the 3-year cumulative concentrations of wildfire-related PM(2.5) within a 10-km buffer surrounding the residential address for each individual. Hazard ratios (HRs) with 95% confidence intervals (CIs) were estimated using the time-varying Cox regression model. We included 492,394 participants aged between 38 and 73 years. We found that after adjusting for potential covariates, a 10 μg/m(3) increase of wildfire-related PM(2.5) exposure was associated with a 0.4% higher risk of all-cause mortality (HR = 1.004 [95% CI: 1.001, 1.006]) and nonaccidental mortality (HR = 1.004 [95% CI: 1.002, 1.006]), and a 0.5% higher risk of neoplasm mortality (HR = 1.005 [95% CI: 1.002, 1.008]). However, no significant associations were observed between wildfire-related PM(2.5) exposure and mortality from cardiovascular, respiratory, and mental diseases. Additionally, no significant modification effects of a series of modifiers were observed. Targeted health protection strategies should be adopted in response to wildfire-related PM(2.5) exposure, in order to reduce the risk of premature mortality.
Extreme temperature events, including extreme cold, are becoming more frequent worldwide, which might be harmful to pregnant women and cause adverse birth outcomes. We aimed to investigate the association between exposure to low ambient temperature in pregnant women and adverse birth outcomes, such as preterm birth, low birth weight, and stillbirth, and to summarize the evidence herein. METHODS: Relevant studies were searched in PubMed, Cochrane, and Embase electronic databases until November 2021. Studies involving low ambient temperature, preterm birth, birth weight, and stillbirth were included. The guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-analyses were followed to conduct this study risk of bias and methods for data synthesis. RESULTS: A total of 34 studies were included. First, pregnant women exposed to low ambient temperature had an increased risk of preterm birth (risk ratio [RR] 1.08; 95% confidence interval [CI] 1.04-1.13). Subgroup analyses revealed that exposure during late pregnancy was more likely to induce preterm birth. In addition, only pregnant women exposed to <1st percentile of the mean temperature suffered increased risk of preterm birth. Moreover, pregnant women living in medium or hot areas were more prone to have preterm births than those in cold areas when exposed to low ambient temperatures. Asians and Blacks were more susceptible to low ambient temperatures than Caucasians. Second, pregnant women exposed to low ambient temperature had an increased risk of low birth weight (RR 1.07; 95% CI 1.03-1.12). Third, pregnant women had an increased risk of stillbirth while exposed to low ambient temperature during the entire pregnancy (RR 4.63; 95% CI 3.99-5.38). CONCLUSIONS: Exposure to low ambient temperature during pregnancy increases the risk of adverse birth outcomes. Pregnant women should avoid exposure to extremely low ambient temperature (<1st percentile of the mean temperature), especially in their late pregnancy. This study could provide clues for preventing adverse outcomes from meteorological factors. REGISTRATION: No. CRD42021259776 at PROSPERO ( https://www.crd.york.ac.uk/PROSPERO/ ).
While previous research has identified populations susceptible to non-optimal temperatures, disability has been largely overlooked. Given the growing number of persons with disabilities (PwD) and their social and health disadvantages, understanding how disability intersects with temperature-related health effects is crucial. This study aimed to investigate the associations between non-optimal temperatures and cardiovascular disease (CVD) hospitalization and examine how these associations vary over time considering the existence of disability. METHODS: We used the National Health Insurance Service-National Sample Cohort to investigate the association between non-optimal temperatures and CVD hospitalization in South Korea, 2002-2019. We obtained daily mean temperature from the Korea Meteorological Administration’s automated synoptic observing system. We applied a space-time-stratified case-crossover design using a conditional quasi-Poisson regression with a distributed lag non-linear model, adjusting for relative humidity, wind speed, and public holidays. We examined temporal variations in temperature-CVD hospitalization associations using a time window approach. All analyses used the minimum hospitalization temperature (20.0 °C) as reference and were stratified by disability status. RESULTS: The cumulative exposure-response curve in persons without disabilities showed a J-shape with a relative risk (RR) of 1.07 (95 % confidence interval [CI]: 0.99, 1.15) at extreme heat (99th percentile) and 1.09 (95 % CI: 0.97, 1.23) at extreme cold (1st percentile). The cumulative exposure-response curve in PwD showed an M-shape with the highest RR at chill (1.22 [95 % CI: 1.13, 1.32]) and moderate cold temperature (1.11 [95 % CI: 1.01, 1.21]), defined as the 30th and 5th percentiles, respectively. The impacts of heat and cold decreased over time for persons without disabilities but increased for PwD. CONCLUSIONS: Our study found differential temperature-related impacts on CVD hospitalization based on disability status, and PwD were maladapted to heat and cold over time. This suggests the importance of considering disability when investigating temperature-related health disparity and adopting disability-inclusive adaptation strategies.
Growing epidemiological evidence has shown that ambient temperature variability (TV) contributes to multiple health problems. However, whether short-term TV affects mental health remains unclear. Based on a nationally representative cohort sample from 2011 to 2018 in China, this study linked monthly TV with depressive symptoms. City-level data on daily temperature for 1 month prior to the survey date were collected. The TV in 1 month for each participant, measured by the standard deviations (SDs) of daily humidex, daily mean temperature, daily minimum temperature, and daily maximum temperature, was calculated based on the above daily data. The 10-item Center for Epidemiologic Studies Depression Scale (CES-D) was used to measure depressive symptoms. Random effects models and difference-in-difference models based on the introduction of low-carbon cities (LCCs) were applied. A one-point increase in the 1-month SDs of daily humidex and mean temperature was associated with 0.096 (95% confidence interval (CI): 0.040-0.152) and 0.178 (95% CI: 0.081-0.276) increases in CES-D scores. Similar associations were found when temperature variability was measured by the SDs of the daily minimum temperature and maximum temperature. In addition, a positive and statistically significant mental health effect of changes in TV was found after the introduction of the LCCs. A one-point increase in monthly TV, measured by daily humidex, was associated with an increase in the CES-D score of 0.148 (95% CI: 0.018-0.277) for those experiencing the introduction of LCCs. Our results suggest that mental health improvements should account for ambient TV in China.
Hazardous thermal conditions resulting from climate change may play a role in cardiovascular disease development. We chose the Universal Thermal Climate Index (UTCI) as the exposure metric to evaluate the relationship between thermal conditions and cardiovascular mortality in Shenzhen, China. We applied quasi-Poisson regression non-linear distributed lag models to evaluate the exposure-response associations. The findings suggest that cardiovascular mortality risks were significantly increased under heat and cold stress, and the adverse effects of cold stress were stronger than heat stress. Referencing the 50th percentile of UTCI (25.4°C), the cumulative risk of cardiovascular mortality was 75% (RR(lag0-21) =1.75, 95%CI: 1.32, 2.32) higher in the 1st percentile (3.5°C), and 40% (RR(lag0-21)=1.40, 95%CI: 1.09, 1.80) higher in the 99th percentile (34.1°C). We observed that individuals older than 65 years were more vulnerable to both cold and heat stress, and females were identified as more susceptible to heat stress than males. Moreover, increased mortality risks of hypertensive disease and cerebrovascular disease were observed under cold stress, while heat stress was related to higher risks of mortality for hypertensive disease and ischemic heart disease. We also observed a stronger relationship between cold stress and ischemic heart disease mortality during the cold season, as well as a significant impact of heat stress on cerebrovascular disease mortality in the warm season when compared to the analysis of the entire year. These results confirm the significant relationship between thermal stress and cardiovascular mortality, with age and sex as potential effect modifiers of this association. Providing affordable air conditioning equipment, increasing the amount of vegetation, and establishing comprehensive early warning systems that take human thermoregulation into account could all help to safeguard the well-being of the public, particularly vulnerable populations, in the event of future extreme weather.
Natural disasters pose an increasing threat to individuals and their well-being. Although much is known about the short-term effects of a disaster, there has been much less work on how disasters affect individuals over long periods. Additionally, disaster research has traditionally focused either on the mental outcome or economic impacts, limiting the understanding of the link between disaster-induced changes (i.e., transition) and mental health. Thus, this exploratory study aimed to measure the long-term transitional impacts of the Southern Alberta flood of 2013 and the relationship between this disaster-specific transition and well-being. In this follow-up, conducted six years after the flood, 65 participants were re-assessed on the 12-item Transitional Impact Scale (TIS-12) and their ratings were compared across two-time points (2013 vs. 2019). Additionally, the 21-item DASS and the 8-item PCL-5 were introduced in the follow-up to assess these participants’ mental health states. Paired T-tests of the material and psychological subscale of the TIS demonstrated significantly lower ratings in 2019 than in 2013. After six years, PTSD had a high correlation with the material and psychological subscale of the TIS and DASS. However, depression and anxiety were reliably related to psychological TIS only. Overall, the findings suggest that individuals’ well-being is largely determined by the level of disaster-related material and psychological life changes experienced over time. These findings might be useful to take note of the short-term and long-term impact of disaster-specific transitions while assisting professionals and policymakers in formulating interventions to preserve people’s well-being during the disaster and promote resilience following it.
Dengue fever remains a significant global health concern, imposing a substantial burden on public health systems worldwide. Recent studies have suggested that climate change, specifically the increase in surface temperatures associated with global warming, may impact the transmission dynamics of dengue. This study aimed to assess the relationship between annual surface temperature changes from 1961 to 2019 and the burden of dengue in 185 countries. The dengue burden was evaluated for 2019 using disability-adjusted life years (DALYs) and the annual rate of change (ARC) in DALY rates assessed from 1990 to 2019. A cross-sectional and ecological analysis was conducted using two publicly available datasets. Regression coefficients (β) and 95% confidence intervals (CI) were used to examine the relationship between annual surface temperature changes and the burden of dengue. The results revealed a significant negative relationship between mean surface temperatures and DALY rates in 2019 (β = -16.9, 95% CI -26.9 to -6.8). Similarly, a significant negative relationship was observed between the temperature variable and the ARC (β = -0.99, 95% CI -1.66 to -0.32). These findings suggest that as temperatures continue to rise, the burden of dengue may globally decrease. The ecology of the vector and variations in seasons, precipitation patterns, and humidity levels may partially contribute to this phenomenon. Our study contributes to the expanding body of evidence regarding the potential implications of climate change for dengue dynamics. It emphasizes the critical importance of addressing climate change as a determinant of global health outcomes.
Aspergillus fumigatus is a common environmental mold and a major cause of opportunistic infections in humans. It’s distributed among many ecological niches across the globe. A major virulence factor of A. fumigatus is its ability to grow at high temperature. However, at present, little is known about variations among strains in their growth at different temperatures and how their geographic origins may impact such variations. In this study, we analyzed 89 strains from 12 countries (Cameroon, Canada, China, Costa Rica, France, India, Iceland, Ireland, New Zealand, Peru, Saudi Arabia, and USA) representing diverse geographic locations and temperature environments. Each strain was grown at four temperatures and genotyped at nine microsatellite loci. Our analyses revealed a range of growth profiles, with significant variations among strains within individual geographic populations in their growths across the temperatures. No statistically significant association was observed between strain genotypes and their thermal growth profiles. Similarly geographic separation contributed little to differences in thermal adaptations among strains and populations. The combined analyses among genotypes and growth rates at different temperatures in the global sample suggest that most natural populations of A. fumigatus are capable of rapid adaptation to temperature changes. We discuss the implications of our results to the evolution and epidemiology of A. fumigatus under increasing climate change.
Some cereal crops can withstand harsh growing conditions, and, hence, can be considered an important line of defense against food shortage under climate change. Sorghum (Sorghum bicolor (L.) Monech) is the main food crop for millions of people, especially in sub-Saharan Africa and South Asia. This crop performs well under input constraints (e.g., limited water) and exhibits high resilience to adverse climate conditions (e.g., high temperature, drought, and waterlogging), making it a star crop for combating hunger under climate change. However, sorghum and other similar crops are not tolerant in absolute terms. Climate change could push the growing conditions of these crops beyond the limits they can tolerate, jeopardizing the food security of millions of people around the world. In this research, we analyzed the current status of sorghum production, trends, and factors controlling sorghum yield using empirical approaches. Especially in sub-Saharan Africa, this crop is cultivated widely under unfavorable climate conditions and sub-optimal input levels. Our findings raise multiple concerns as well as highlight opportunities for the sustainability of sorghum cultivation in a future with climate change. Sorghum yield seems to increase persistently despite global warming due to an improved inputs approach, offering hope that similar adaptation approaches can be fruitful, especially in sub-Saharan Africa. A combination of interventions including adequate use of fertilizers and technology adoption (e.g., tolerant cultivars), efficient management (e.g. improved irrigation), and better agronomic practices, is the key to boosting sorghum yield and ensuring the sustainability of this important crop under a warmer climate.
The latest forecasts indicate wildfire activity in many parts of the world. Wildfire smoke contains haz-ardous air pollutants such as carbon monoxide, nitrogen dioxide, ozone, particulate matter et cetera. However, prediction of this impact and on time medical care are difficult due to the lack of digital decision-making systems. The aim of this study is to assess population health risks associated with the sub-daily exposure to wildfire smoke produced by massive foci of combustion near the populated areas and at a significant distance from them. We consider reflex reactions as a response to a short-term exposure. The maximum value of the 95th percentile from the series of observations at the moni-toring point was used to assess the hazard. For the mathematical description of the “concentration -ef-fect” relationship, the model of individual thresholds is applicable. This model describes a dependence as a straight line under the condition that the concentration is expressed in the form of a normal -probabilistic scale. The frequency of additional cases is determined by studying the number of re-quests for medical assistance (including calls for ambulance) with complaints of respiratory disorders, lacrimation, etc. on the territories affected by wildfires smokes. The indicator is calculated per 1000 population. The probability of negative biological effects in response to the impact of wildfire smoke is associated mainly with the content of CO and TPM in the conditions of the Baikal region. The frequency of additional requests for medical care ranged from 0.137 to 0.933 per 1000 exposed population during the fire period in settlements where risk levels are >0.01. We developed a digital environment that al-lows us to get information about harmful substances in the outdoor air from different sources and in different formats and data schemes. The digital environment supports implementation of models for assessing hazards to human body organs.(c) 2022 The Authors. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
BACKGROUND: Data-driven research is a very important component of One Health. As the core part of the global One Health index (GOHI), the global One Health Intrinsic Drivers index (IDI) is a framework for evaluating the baseline conditions of human-animal-environment health. This study aims to assess the global performance in terms of GOH-IDI, compare it across different World Bank regions, and analyze the relationships between GOH-IDI and national economic levels. METHODS: The raw data among 146 countries were collected from authoritative databases and official reports in November 2021. Descriptive statistical analysis, data visualization and manipulation, Shapiro normality test and ridge maps were used to evaluate and identify the spatial and classificatory distribution of GOH-IDI. This paper uses the World Bank regional classification and the World Bank income groups to analyse the relationship between GOH-IDI and regional economic levels, and completes the case studies of representative countries. RESULTS: The performance of One Health Intrinsic Driver in 146 countries was evaluated. The mean (standard deviation, SD) score of GOH-IDI is 54.05 (4.95). The values (mean SD) of different regions are North America (60.44, 2.36), Europe and Central Asia (57.73, 3.29), Middle East and North Africa (57.02, 2.56), East Asia and Pacific (53.87, 5.22), Latin America and the Caribbean (53.75, 2.20), South Asia (52.45, 2.61) and sub-Saharan Africa (48.27, 2.48). Gross national income per capita was moderately correlated with GOH-IDI (R(2) = 0.651, Deviance explained = 66.6%, P < 0.005). Low income countries have the best performance in some secondary indicators, including Non-communicable Diseases and Mental Health and Health risks. Five indicators are not statistically different at each economic level, including Animal Epidemic Disease, Animal Biodiversity, Air Quality and Climate Change, Land Resources and Environmental Biodiversity. CONCLUSIONS: The GOH-IDI is a crucial tool to evaluate the situation of One Health. There are inter-regional differences in GOH-IDI significantly at the worldwide level. The best performing region for GOH-IDI was North America and the worst was sub-Saharan Africa. There is a positive correlation between the GOH-IDI and country economic status, with high-income countries performing well in most indicators. GOH-IDI facilitates researchers' understanding of the multidimensional situation in each country and invests more attention in scientific questions that need to be addressed urgently.
Short-term associations between heat and cardiovascular disease (CVD) mortality have been examined mostly in large cities. However, different vulnerability and exposure levels may contribute to spatial heterogeneity. This study assessed heat effects on CVD mortality and potential vulnerability factors using data from three European countries, including urban and rural settings. METHODS: We collected daily counts of CVD deaths aggregated at the small-area level in Norway (small-area level: municipality), England and Wales (lower super output areas), and Germany (district) during the warm season (May-September) from 1996 to 2018. Daily mean air temperatures estimated by spatial-temporal models were assigned to each small area. Within each country, we applied area-specific Quasi-Poisson regression using distributed lag nonlinear models to examine the heat effects at lag 0-1 days. The area-specific estimates were pooled by random-effects meta-analysis to derive country-specific and overall heat effects. We examined individual- and area-level heat vulnerability factors by subgroup analyses and meta-regression, respectively. RESULTS: We included 2.84 million CVD deaths in analyses. For an increase in temperature from the 75th to the 99th percentile, the pooled relative risk (RR) for CVD mortality was 1.14 (95% CI: 1.03, 1.26), with the country-specific RRs ranging from 1.04 (1.00, 1.09) in Norway to 1.24 (1.23, 1.26) in Germany. Heat effects were stronger among women [RRs (95% CIs) for women and men: 1.18 (1.08, 1.28) vs. 1.12 (1.00, 1.24)]. Greater heat vulnerability was observed in areas with high population density, high degree of urbanization, low green coverage, and high levels of fine particulate matter. CONCLUSION: This study provides evidence for the heat effects on CVD mortality in European countries using high-resolution data from both urban and rural areas. Besides, we identified individual- and area-level heat vulnerability factors. Our findings may facilitate the development of heat-health action plans to increase resilience to climate change.
Outdoor thermal comfort (OTC) is critical for public health, labor productivity, and human life. Growing extreme heat events caused by climate change have a serious impact on OTCs, especially in urban areas. Quantitatively characterizing and evaluating the spatiotemporal changes in OTCs are essential, and more applications are needed in urban agglomerations. Therefore, taking the Beijing-Tianjin-Hebei (BTH) urban agglomeration as the study area, this study aimed to quantitatively assess the summer regional OTC from 1981 to 2020. First, the Universal Thermal Climate Index (UTCI) was used as the indicator of daily thermal stress, and then a Composite Thermal Comfort Score was proposed to evaluate the long-term, summertime, regional OTC considering the extent, duration, and intensity of daytime and nighttime thermal stress. The results showed that (a) the increase in UTCI (0.32°C/10a at daytime and 0.21°C/10a at nighttime) and heat stress frequency (0.88 at daytime and 0.39 d/10a at nighttime) were manifested over BTH, indicating a worse OTC. Spatial and temporal heterogeneity was also demonstrated. (b) The general OTC showed a decreasing north-south gradient pattern. At daytime, the northern mountainous zone presented the best OTC, the southern plain zone, especially Hengshui, Langfang, and Cangzhou, showed the worst. At nighttime, the mountain-plain transition zone showed the best OTC, the northern mountainous zone showed the worst since more cold stress occurred. Our findings will be useful in informing climate change adaptation strategies to ensure urban resilience as extreme heat increases in the context of climate change.
The growing demand in the use of cooling in buildings for the effects of climate change and the thermal comfort conditions requires the adoption of energy conservation measures. Implementing adaptive thermal comfort models can result in a significant decrease in energy consumption, especially in buildings where the users are groups of vulnerable people. However, no study has proposed a prediction of energy consumption from a comfort-based approach for nursing homes.This article presents the development of adaptive consumption models to assess the energy implications of HVAC systems for the cooling season by measuring real data on energy consumption and environmental conditions. The adaptive consumption models are implemented in eight nursing homes located in two different climates (Mediterranean and Continental-Mediterranean). The findings reveal that adaptive thermal comfort control methods result in important energy savings in comparison to a fixed set point temperature. The study demonstrates a potential average energy savings of up to 9.9 % (8.1 % in Mediterranean climate and 11.7 % in the Continental-Mediterranean climate) for the analysed nursing homes.The prediction of energy consumption from an adaptive comfort-based approach in nursing homes will enhance their energy efficiency ensuring the well-being of their vulnerable residents by maintaining optimal thermal comfort. These findings hold significant value for the effective energy management of buildings in future climate change scenarios and warrant careful consideration by nursing home facility managers.
Coastal regions in Southwest Europe have experienced major interventions and transformations of the territory with unprecedented urban development, primarily related to growing tourism activity. The coast is the place where marine and terrestrial processes converge, making it highly vulnerable to the effects of climate change. However, the lack of information on the frequency of these extreme weather events and their impacts on the coast hampers an accurate analysis of the consequences of global change. This paper provides a detailed analysis of the extreme weather events (EWE) that have affected the Atlantic and Mediterranean coasts of Southwest Europe during the period from 1 January 2009 to 28 February 2020, as well as a quantification of their impacts: fatalities, injuries and economic damage. Official sources from France, Portugal and Spain were consulted, along with technical reports, scientific articles, etc., to generate a unified database. A total of 95 significant extreme events have caused 168 fatalities, 137 injuries and almost euro4000 M in direct economic losses. Cyclone Xynthia (February 2010) on the French Atlantic coast stands out, having caused 47 fatalities, 79 injuries and substantial economic losses valued at euro3000 M. The study shows a slight upward trend in the number of events recorded, especially during the last three years of the analysis, as well as in human losses and damages. The results reveal a higher exposure of the Mediterranean coast of Southwest Europe when compared to the Atlantic, especially the Spanish Mediterranean coast, with 61% of the fatalities recorded there during the study period. This is primarily due to a model of exponential tourism growth on the Mediterranean coast, with an enormous urban and infrastructure development during the last decades. Traditionally, the Mediterranean coast is less prepared to reduce the effects of marine storms, extreme events that are becoming more frequent and virulent in the context of climate and global change. This work highlights the need to create a continuous monitoring system-at the European level-of the impacts of extreme weather events on the coast, where 40% of the European population is concentrated. This observatory should serve as a source of information for risk mitigation policies (predictive, preventive and corrective), as well as for emergency management during disasters.
Climate change adaptation decisions often require the consideration of risk rather than the envi-ronmental hazard alone. One approach for quantifying risk is to use a risk assessment framework which combines information about hazard, exposure and vulnerability to estimate risk in a spatially consistent way. In recent years, publicly available, open-source risk assessment frameworks have been made available, including the CLIMADA platform. Such tools are increasingly being used in combination with ensembles of climate model projections to quantify risk on climate time-scales, presenting the ensemble spread as a measure of climate model uncertainty. As climate models are computationally expensive to run, this quantification of uncertainty derived from the ensemble of projections is often limited by the number of members available. We present a novel framework involving the application and extension of the CLIMADA open-source climate risk assessment platform, demonstrating an approach for overcoming this limitation. We first show how the CLI-MADA platform can be applied to an ensemble of UKCP18 regional climate projections to assess climate risk coherently across space in an idealised example for the UK. We then show how a Generalised Additive Model, involving an ‘ensemble member’ random effect term, can be used to statistically represent the climate model ensemble summary of risk and be used to simulate many more realisations of risk, representative of a larger collection of plausible ensemble members. Specifically, we apply the framework to an idealised example related to heat-stress and the asso-ciated risk of reduced outdoor physical working capacity in the UK, based on three global warming levels (recent past, 2 degrees C and 4 degrees C warmer than pre-industrial). We show how, in this idealised example, in a 2 degrees C warmer world (relative to pre-industrial), the UK could lose on average 15 million (or 2.5% of) days of outdoor physical work in a working year (225 days) as a result of heat-stress, which could equate to more than 1.5 pound billion of economic loss (roughly 0.07% of UK annual GDP). The uncertainty quantification provided by the framework allows for an upper range estimate which better quantifies climate model uncertainty. In a 4 degrees C warmer world this indicates the plausibility of38 million (or 6.2% of) working days lost in a year, possibly equating to more than 3.8 pound billion of economic loss (roughly 0.17% of UK annual GDP). Finally, we discuss limitations of the approach and recommend a number of extensions and areas of future work.
This study aims to construct composite indices for health sector climate vulnerability in 226 local entities of South Korea from 2011 to 2018 using principal component analysis methods. After calculating exposure, sensitivity, and adaptive capacity indices respectively, which comprises a function of vulnerability, the composite indices for climate vulnerability are drawn. GIS maps visualize each index to provide more intuitive information on year-by-year transition in the 226 local entities, as well as to identify the proper local conditions in responding to climate change in the health sector more effectively. The overall tendency from 2011 to 2018 in each local entity is quite consistent without remarkable transition. Therefore, this overcomes the limitation of using cross-sectional data when conducting a measurement study. Local entities in major cities and municipalities in South Korea appear to be low in vulnerability to climate change in the health sector thanks to their low sensitivity with less vulnerable population and high adaptive capacity with a good health infrastructure. Nevertheless, there are quite a few exceptional cases among the cities and municipalities observed. This demonstrates why climate vulnerability assessment should be implemented at the local context, rather than through a top-down manner, as such exceptional cases could be overlooked in top-down approaches. This study provides a policy contribution to both central and local governments to fill gaps in current adaptation plans. In addition, the established micro-level time-series dataset for PCA analysis can contribute to further research in the future.
The urgency of dealing with risks associated with climate change and the need for effective response measures to their impacts are increasing daily the world over. Literature abounds regarding the impacts of climate change on physical, psychosocial, and other health outcomes. In contrast, little research exists on the health impacts of response measures to climate change. This critical review seeks to contribute towards closing this gap through a synthesis of current literature on the psychosocial health outcomes of climate adaptation actions. Our results found both positive and negative outcomes associated with psychosocial health that may result from climate adaptation actions. We propose the utilization of well-developed conceptual frameworks and evaluation tools in assessment and analysis of these outcomes. Ultimately, there is need to expand similar and related areas of research more broadly and on psychosocial effects, specifically.
BACKGROUND: Climate change is one of the greatest threats to public health in this century. The UK is one of six countries that has enshrined in law a commitment to become net zero by 2050. However, there is a lack of guidance and structure for local government in the UK, which has responsibility for public health, to reach this goal and help their communities mitigate and adapt to the health and health inequality impacts of climate change. This study aimed to identify common barriers and facilitators related to addressing the health and health inequality impacts of climate change in local governments. METHODS: Using Normalisation Process Theory, we developed a two-round survey for people working in local authorities to identify the barriers and facilitators to including the health and health inequality impact of climate change in their climate action plans. The survey was delivered online via Qualtrics software. In the first-round respondents were able to express their views on barriers and facilitators and in the second round they ranked common themes identified from the first round. Two hundred and fifty people working in local government were invited to take part and n = 28 (11.2%) completed the first round of the survey and n = 14 completed the second round. Thematic analysis was used in Round 1 to identify common themes and weighted rankings were used to assess key barriers and facilitators in Round 2. RESULTS: Key facilitators were the need to save money on energy, and successful partnership working already in place including across local government, with local communities and external stakeholders. Key barriers were insufficient staff, resources and lack of support from management/leaders, and lack of local evidence. CONCLUSION: To mitigate and adapt to the health impacts of climate change, local government must nurture a culture of innovation and collaboration to ensure that different departments work together This means not just working with external partners, but also collaborating and co-producing with communities to achieve health equity and mitigate the debilitating effect of climate change on public health.
IMPORTANCE: Few studies have projected future suicide burden associated with daily temperatures in a warming climate. OBJECTIVES: To assess the burden of suicide death associated with daily nonoptimal temperature and to project the change of suicide burden associated with nonoptimal temperature in different regions and seasons under various climate change scenarios. DESIGN, SETTING, AND PARTICIPANTS: Between January 1, 2013, and December 31, 2019, we conducted a time-stratified, case-control study among more than 430 000 individual suicide decedents from all counties in mainland China. EXPOSURES: Daily meteorological data were obtained from the European Centre for Medium-Range Weather Forecasts Reanalysis Fifth Generation (ERA5) reanalysis product. Historical and future temperature series were projected under 3 scenarios of greenhouse-gas emissions from 1980 to 2099, with 10 general circulation models. MAIN OUTCOMES AND MEASURES: The relative risk (RR) and burden of suicide death associated with nonoptimal temperature (ie, temperatures greater than or less than minimum-mortality temperature); the change of suicide burden associated with future climate warming in different regions and seasons under various climate change scenarios. RESULTS: Of 432 008 individuals (mean [SD] age; 57.6 [19.0] years; 253 093 male [58.6%]) who died by suicide, 85.8% (370 577) had a middle school education or less. The temperature-suicide associations were approximately linear, with increasing death risks at higher temperatures. The excess risk was more prominent among older adults (ie, ≥75 years; RR, 1.71; 95% CI, 1.46-1.99) and those with low education level (ie, middle school education or less; RR, 1.46; 95% CI, 1.36-1.57). There were 15.2% suicide deaths (95% estimated CI [eCI], 14.6%-15.6%) associated with nonoptimal temperature nationally. Consistent and drastic increases in excess suicide deaths over this century were predicted under the high-emission scenario, whereas a leveling-off trend after the mid-21st century was predicted under the medium- and low-emission scenarios. Nationally, compared with the historical period (1980-2009), excess suicide deaths were predicted to increase by 8.3% to 11.4% in the 2050s and 8.5% to 21.7% in the 2090s under the 3 scenarios. The projected percentage increments of excess suicide deaths were predicted to be greater in the South (55.0%; 95% eCI, 30.5%-85.6%) and in winter (54.5%; 95% eCI, 30.4%-77.0%) in the 2090s under the high-emission scenario. CONCLUSIONS AND RELEVANCE: Findings of this nationwide case-control study suggest that higher temperature may be associated with the risk and burden of suicide death in China. These findings highlight the importance of implementing effective climate policies to reduce greenhouse gas emissions and tailoring public health policies to adapt to global warming.
The adoption of healthy and sustainable diets and the transition to sustainable food systems is of principal importance in order to counteract the double burden of climate change and noncommunicable diseases. The Mediterranean diet (MD) has been widely recognized as a biodiversity and healthy nutrition resource to support sustainable development and food security. This study explored biodiversity in terms of food plants species, subspecies, varieties, and races, and also addressed food plant diversity differences between the MD and Western-type consumption patterns. It was funded by the EU BioValue Project, aiming to promote the integration of underutilized crops into the food value chains. Using a 2-stage scheme, data were selected from MEDUSA and Euro+Med databases (including 449 species, 2366 subspecies, varieties, and races). Furthermore, 12 countries from North Africa and Europe were classified in 2 groups according to their subregional attributes and their traditionally most prevalent dietary pattern (MD or Western-type diets). Statistical analysis showed that the mean of the majorly cultivated food plants in the MD was significantly higher than its counterpart in the Western diet. Furthermore, no statistical difference was detected in the averages of native food plants between the MD group and the Western diet group, implying that the higher diversity in food plants observed in the MD seems to be attributed to crop utilization rather than crop availability. Our findings indicated the interlinkage between biodiversity and prevailing dietary patterns and further underlined that biodiversity could constitute a prerequisite for dietary diversity and hence nutrition security. In addition, this study demonstrated that diets and nutrition should be approached in a broader way within the context of both agro-food and ecological systems.
When people feel distress about changes to their environment, they are said to be experiencing solastalgia. In the context of rising concern about climate change, I examined whether people endorse an anticipatory form of solastalgia: current distress about expected future changes to the environment. I reworded the Brief Solastalgia Scale to examine experiences of anticipatory solastalgia in the United Kingdom (n = 509) and United States (n = 493). The resulting Anticipatory Solastalgia Scale performed well, and correlational analyses show that younger people and women experience heightened anticipatory solastalgia in the US sample (but not the UK sample). In both samples, anticipatory solastalgia was higher among those with a liberal political orientation, those who expected more significant impacts of climate change to their environment, and those reporting more intense negative emotions about climate change. These findings support the existence of anticipatory solastalgia and further highlight the emotional toll of expected environmental loss and decline.
AIM: This study investigated anxiety, depression, and stress and their influencing factors among nurses during the COVID-19 pandemic and after the flood in Henan Province, China. It aimed to provide the theoretical foundation for the management of relevant hospital departments, improvement of nursing quality, implementation of antiepidemic work, and other relevant studies. BACKGROUND: In December 2019, COVID-19 was reported in Wuhan, China and became a global pandemic. In July 2021, unprecedented flooding occurred in Henan Province, China. Under the dual pressure of COVID-19 and the flood, nurses’ mental health problems deteriorated. METHODS: In August 2021, 1229 nurses from various departments of the First Affiliated Hospital of Xinxiang Medical University in Xinxiang City, Henan Province,China were invited to participate in a questionnaire survey using a general condition questionnaire and the Chinese version of the Depression-Anxiety-Stress Scale. Descriptive statistics were used to analyze the status of nurses’ anxiety, depression, and stress. Analysis of variance, t-test, and multiple linear regression models were used to analyze the factors influencing anxiety, depression, and stress among nurses. RESULTS: Of the participants, 36.1%, 10.1%, and 15.5% had moderate to high levels of anxiety, stress, and depression, respectively. Moreover, 42 (3.4%) participants experienced high to severe levels of stress, anxiety, and depression. The scores showed significant differences based on gender, harmonious family relationships, department position, work intensity, sleep quality, physical exercise, participation in leisure activities, health status, involvement in emotion management-related training, and attending self-care-related training (all P < 0.05). Gender, work intensity, harmonious family relationships, health condition, sleep quality, and participation in leisure activities influenced stress, anxiety, and depression scores. Department position influenced anxiety and stress scores, and average monthly earnings influenced anxiety scores. CONCLUSION: All the nurses experienced various levels of stress, anxiety, and depression. Related departments should pay special attention to male nurses and nurses with high work intensity, unharmonious family relationships, poor health, and sleep quality, and who engage in fewer leisure activities. IMPLICATIONS FOR NURSING AND HEALTH POLICY: It is recommended that departments allocate human resources and arrange schedules reasonably, encourage nurses to participate in more recreational activities, and implement emotion management and self-care-related training to relieve emotional distress, and ultimately maintain nurses' mental health.
Urban cloudburst management may include the intentional temporary storage of flood water in green recreational areas. In cities with combined sewers, this will expose the population visiting the area to sewage and increase the risk of diarrhoeal disease. We present a unique approach to estimate the risk of diarrhoeal disease after urban flooding. The exposure scenario was: rainwater mixed with sewage flows into a park; sewage with pathogens deposit on the grass; after discharge, a baby plays on the grass and is exposed to the pathogens in the deposited sewage by hand-to-mouth transfer. The work included modelling the transport of sewage into four parks intended to be flooded during future cloudbursts. A flood simulation experiment was conducted to estimate the deposition of pathogens from sewage to grass and transfer from grass to hand. Hand-to-mouth transfer, based on literature values, was used to estimate the ingested dose of pathogens. The probability of illness was estimated by QMRA. The estimated average probability of illness varied between 0.03 and 17%. If the probability of illness is considered unacceptable, the cloudburst plans should be changed, or interventions, e.g. informing the public about the risk or restricting access to the flooded area, should be implemented.
Arboviruses cause millions of infections each year; however, only limited options are available for treatment and pharmacological prevention. Mosquitoes are among the most important vectors for the transmission of several pathogens to humans. Despite advances, the sampling, viral detection, and control methods for these insects remain ineffective. Challenges arise with the increase in mosquito populations due to climate change, insecticide resistance, and human interference affecting natural habitats, which contribute to the increasing difficulty in controlling the spread of arboviruses. Therefore, prioritizing arbovirus surveillance is essential for effective epidemic preparedness. In this review, we offer a concise historical account of the discovery and monitoring of arboviruses in mosquitoes, from mosquito capture to viral detection. We then analyzed the advantages and limitations of these traditional methods. Furthermore, we investigated the potential of emerging technologies to address these limitations, including the implementation of next-generation sequencing, paper-based devices, spectroscopic detectors, and synthetic biosensors. We also provide perspectives on recurring issues and areas of interest such as insect-specific viruses.
Global warming is affecting animal populations worldwide, through chronic temperature increases and an increase in the frequency of extreme heatwave events. Reservoirs are essential for water security. All watersheds with reservoirs are impacted by their construction. These artificial ecosystems controlled by humans change considerably the natural terrestrial and aquatic ecosystem and systems and their biodiversity. The rapid increase in population growth, urbanization, and industrialization are accompanied by an increase in river discharges, which increases the total amount of pollutants. HMs contamination in aquatic environments, as well as the subsequent absorption of HMs into the food chain by aquatic creatures and people, endangers public health. Multiple uses of reservoirs promote benefits in terms of economic development, income, and employment. HMs in water can be ingested directly by aquatic species like fish and can also be ingested indirectly through the food chain; thus, it is much more important and required to conduct frequent monitoring of the aquatic environment. As a result, this review summarizes knowledge about the effects of cascade dams on river water temperature and increases on the stress physiology of fishes, and adaptation to climate change is also needed to produce more fish without global warming.
OBJECTIVE: Climate change increases the frequency, intensity and length of heatwaves, which puts a particular strain on the health of vulnerable population groups. General practitioners (GPs) could reach these people and provide advice on protective health behaviour against heat. Data is lacking on whether and what topic of GP advice people are interested in, and whether specific person characteristics are associated with such interests. DESIGN: Cross-sectional, nationwide, face-to-face household survey, conducted during winter 2022/2023. SETTING: Germany. PARTICIPANTS: Population-based sample of 4212 respondents (aged 14-96 years), selected by using multistratified random sampling (50%) combined with multiquota sampling (50%). MAIN OUTCOME MEASURE: Interest in receiving GP advice on health protection during heatwaves (yes/no), and the topic people find most important (advice on drinking behaviour, nutrition, cooling, cooling rooms, physical activity or medication management). Associations between predefined person characteristics and the likelihood of interest were estimated using adjusted logistic regressions. RESULTS: A total of 4020 respondents had GP contact and provided data on the outcome measure. Of these, 23% (95% CI=22% to 25%) expressed interest in GP advice. The likelihood of expressing interest was positively associated with being female, older age (particularly those aged 75+ years: 38% were interested), having a lower level of educational attainment, having a migration background, living in a more urban area, and living in a single-person household. It was negatively associated with increasing income. Advice on medication management received highest interest (25%). CONCLUSIONS: During winter season 2022/2023, around one quarter of the German population with GP contact-and around 40% of those aged 75+ years-was estimated to have a stated interest in receiving GP advice on protective health behaviour during heatwaves, especially on medication management. Climate change is creating new demands for healthcare provision in general practice. This study provides initial relevant information for research and practice aiming to address these demands.
PURPOSE: Introducing biomedical approaches to the health impacts of climate change can improve medical student engagement with relevant climate-related issues, improve the development of medical schemas, and minimise displacement into crowded medical curricula. This paper aims to systematically review the medical education curricula related to climate change, with a particular focus on systems-based biomechanisms for the health impacts of climate change. We do this to provide a clear agenda for further development of learning outcomes (LOs) in this area to maximize the clinical applicability of this knowledge. MATERIAL AND METHODS: A systematic review was undertaken following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA; Liberati et al. 2009) guidelines for both the published and grey literature. Five databases (PubMed, SCOPUS, ERIC, Open Access Thesis and Dissertation, and Proquest Global Dissertation and Theses) were searched for works published between 2011 and June 2023. Full texts that contained LOs were the main inclusion criteria for the final review. Descriptive and content extraction guided the final narrative synthesis. RESULTS: Analysis indicated that biomechanism-related LOs represented about 25% of each published LO set, on average. These outcomes were primarily at the “understand” level of Bloom’s taxonomy and were spread across a range of body systems and climate-change aspects. Infectious diseases and extreme heat were strong focuses. Authorship analysis indicated that the majority of these sets of published LOs are from Western contexts and authored by researchers and educators with medical and population health qualifications. CONCLUSIONS: Biomechanism-focused teaching about the health impacts of climate change is relatively rare in published curricula. Of the available sets of LOs, the majority are sourced from Western authors and are focused on a fairly circumscribed set of biomedical topics. There is scope to both broaden and deepen curriculum in this area, and we would recommend the field prioritise collaboration with medical educators from the Global South, where the effects of climate change are already the most acutely felt.
Mosquitoes, sandflies, and ticks are hematophagous arthropods that pose a huge threat to public and veterinary health. They are capable of serving as vectors of disease agents that can and have caused explosive epidemics affecting millions of people and animals. Several factors like climate change, urbanization, and international travel contribute substantially to the persistence and dispersal of these vectors from their established areas to newly invaded areas. Once established in their new home, they can serve as vectors for disease transmission or increase the risk of disease emergence. Turkiye (formerly Turkey) is vulnerable to climate change and has experienced upward trends in annual temperatures and rising sea levels, and greater fluctuations in precipitation rates. It is a potential hotspot for important vector species because the climate in various regions is conducive for several insect and acari species and serves as a conduit for refugees and immigrants fleeing areas troubled with armed conflicts and natural disasters, which have increased substantially in recent years. These people may serve as carriers of the vectors or be infected by disease agents that require arthropod vectors for transmission. Although it cannot be supposed that every arthropod species is a competent vector, this review aims to (1) illustrate the factors that contribute to the persistence and dispersal of arthropod vectors, (2) determine the status of the established arthropod vector species in Turkiye and their capability of serving as vectors of disease agents, and (3) assess the role of newly-introduced arthropod vectors into Turkiye and how they were introduced into the country. We also provide information on important disease incidence (if there’s any) and control measures applied by public health officials from different provinces.
Flaviviruses are a diverse group of enveloped RNA viruses that cause significant clinical manifestations in the pregnancy and postpartum periods. This review highlights the epidemiology, pathophysiology, clinical features, diagnosis, and prevention of the key arthropod-borne flaviviruses of concern in pregnancy and the neonatal period-Zika, Dengue, Japanese encephalitis, West Nile, and Yellow fever viruses. Increased disease severity during pregnancy, risk of congenital malformations, and manifestations of postnatal infection vary widely amongst this virus family and may be quite marked. Laboratory confirmation of infection is complex, especially due to the reliance on serology for which flavivirus cross-reactivity challenges diagnostic specificity. As such, a thorough clinical history including relevant geographic exposures and prior vaccinations is paramount for accurate diagnosis. Novel vaccines are eagerly anticipated to ameliorate the impact of these flaviviruses, particularly neuroinvasive disease manifestations and congenital infection, with consideration of vaccine safety in pregnant women and children pivotal. Moving forward, the geographical spread of flaviviruses, as for other zoonoses, will be heavily influenced by climate change due to the potential expansion of vector and reservoir host habitats. Ongoing ‘One Health’ engagement across the human-animal-environment interface is critical to detect and responding to emergent flavivirus epidemics.
This study compared the relative risks of heat days on mortalities by vulnerable groups (elderly, single-person households, less-educated) in the past decade (1999-2008) and the recent decade (2009-2018) in four cities, Seoul, Incheon, Daegu, and Gwangju, in Korea. It has been known that the health impacts of heatwaves have gradually decreased over time due to socio-economic development, climate adaptation, and acclimatization. Contrary to general perception, we found that the recent relative risk of mortality caused by heat days has increased among vulnerable groups. It may associate with recent increasing trends of severe heat days due to climate change. The increasing relative risk was more significant in single-person households and less-educated groups than in the elderly. It implies that the impacts of climate change-induced severe heat days have been and will be concentrated on vulnerable groups. It suggests that social polarization and social isolation should be addressed to reduce heatwave impacts. Furthermore, this study shows the necessity of customized heatwave policies, which consider the characteristics of vulnerable groups.
West Nile viral infection causes severe neuroinvasive disease in less than 1% of infected humans. There are no targeted therapeutics for this serious and potentially fatal disease, and to date no vaccine has been approved for humans. With climate change expected to result in rising incidence of West Nile and other related vector-borne viral infections, there is an increasing need to identify those at risk for serious disease and potential leads for therapeutic and vaccine development. Genetic variation, particularly in genes whose products are either directly or indirectly connected to immune response to infections, is a critical avenue of investigation to identify those at higher risk of clinically apparent West Nile infection. Given the small percent of infections that progress to severe disease and the relatively low numbers of reported infections, it is challenging to conduct well-powered studies to identify genetic factors associated with more severe outcomes. In this chapter, we outline several approaches with the objective to take full advantage of all available data in order to identify genetic factors which lead to increased risk of severe West Nile neuroinvasive disease. These methods are generalizable to other conditions with limited cohort size and rare outcomes.
BACKGROUND: The increasing problem of bacterial resistance, particularly with quinolone-resistant Escherichia coli (QnR eco) poses a serious global health issue. METHODS: We collected data on QnR eco resistance rates and detection frequencies from 2014 to 2021 via the China Antimicrobial Resistance Surveillance System, complemented by meteorological and socioeconomic data from the China Statistical Yearbook and the China Meteorological Data Service Centre (CMDC). Comprehensive nonparametric testing and multivariate regression models were used in the analysis. RESULT: Our analysis revealed significant regional differences in QnR eco resistance and detection rates across China. Along the Hu Huanyong Line, resistance rates varied markedly: 49.35 in the northwest, 54.40 on the line, and 52.30 in the southeast (P = 0.001). Detection rates also showed significant geographical variation, with notable differences between regions (P < 0.001). Climate types influenced these rates, with significant variability observed across different climates (P < 0.001). Our predictive model for resistance rates, integrating climate and healthcare factors, explained 64.1% of the variance (adjusted R-squared = 0.641). For detection rates, the model accounted for 19.2% of the variance, highlighting the impact of environmental and healthcare influences. CONCLUSION: The study found higher resistance rates in warmer, monsoon climates and areas with more public health facilities, but lower rates in cooler, mountainous, or continental climates with more rainfall. This highlights the strong impact of climate on antibiotic resistance. Meanwhile, the predictive model effectively forecasts these resistance rates using China's diverse climate data. This is crucial for public health strategies and helps policymakers and healthcare practitioners tailor their approaches to antibiotic resistance based on local environmental conditions. These insights emphasize the importance of considering regional climates in managing antibiotic resistance.
Background: Cardiovascular diseases (CVD) remain the predominant global cause of mortality, with both low and high temperatures increasing CVD-related mortalities. Climate change impacts human health directly through temperature fluctuations and indirectly via factors like disease vectors. Elevated and reduced temperatures have been linked to increases in CVD-related hospitalizations and mortality, with various studies worldwide confirming the significant health implications of temperature variations and air pollution on cardiovascular outcomes. Methods: A database of daily Emergency Room admissions at the Giovanni XIII Polyclinic in Bari (Southern Italy) was developed, spanning from 2013 to 2019, including weather and air quality data. A Random Forest (RF) supervised machine learning model was used to simulate the trend of hospital admissions for CVD. The Seasonal and Trend decomposition using Loess (STL) decomposition model separated the trend component, while cross-validation techniques were employed to prevent overfitting. Model performance was assessed using specific metrics and error analysis. Additionally, the SHapley Additive exPlanations (SHAP) method, a feature importance technique within the eXplainable Artificial Intelligence (XAI) framework, was used to identify the feature importance. Results: An R2 of 0.97 and a Mean Absolute Error of 0.36 admissions were achieved by the model. Atmospheric pressure, minimum temperature, and carbon monoxide were found to collectively contribute about 74% to the model’s predictive power, with atmospheric pressure being the dominant factor at 37%. Conclusions: This research underscores the significant influence of weatherclimate variables on cardiovascular diseases. The identified key climate factors provide a practical framework for policymakers and healthcare professionals to mitigate the adverse effects of climate change on CVD and devise preventive strategies.
While the Pacific region stands at the forefront of climate change related impacts, we need to hear from those most affected especially in terms of the mental health and wellbeing impacts for our Pacific communities. This exploratory study is led and carried out by Pacific and Indigenous researchers with Pacific peoples and seeks to place Pacific voices front and centre of its practice and analysis. This multi-country study was undertaken with Pacific experts and knowledge holders in Aotearoa New Zealand, the Cook Islands and Niue. This paper foregrounds Pacific perspectives, and considers how western concepts, such as eco- and climate anxiety, can be best applied to understand the mental distress of climate change for Pacific peoples. We demonstrate that there is a deep interconnection between climate change and mental health and wellbeing, and the impacts of this link has been cultural nuanced and defined by and for Pacific peoples.
Cyanobacterial blooms in freshwater systems are a global threat to human and aquatic ecosystem health, exhibiting particularly harmful effects when toxin-producing taxa are present. While climatic change and nutrient over-enrichment control the global expansion of total cyanobacterial blooms, it remains unknown to what extent this expansion reflected cyanobacterial assemblage due to the scarcity of long-term monitoring data. Here we use high-throughput sequencing of sedimentary DNA to track ∼100 years of changes in cyanobacterial community in hyper-eutrophic Lake Taihu, China’s third largest freshwater lake and the key water source for ∼30 million people. A steady increase in the abundance of Microcystis (as potential toxin producers) during the past thirty years was correlated with increasing temperatures and declining wind speeds, but not with temporal trends in lakewater nutrient concentrations, highlighting recent climate effects on potentially increasing toxin-producing taxa. The socio-environmental repercussions of these findings are worrisome as continued anthropogenic climate change may counteract nutrient amelioration efforts in this critical freshwater resource.
PURPOSE: Atmospheric fungi are associated with respiratory allergies in humans, and some fungal spores can cause allergic diseases. Environmental and biological factors influence the concentrations of atmospheric spores. In this study, we evaluated the climate change-induced annual variations in fungal spore concentrations and allergic sensitization rates in the Seoul Metropolitan Area over a period of 25 years. METHODS: Fungal spores and pollen were obtained from Hanyang University Seoul and Guri Hospitals; they were identified and counted for 25 years (1998-2022). The study participants included patients who underwent tests for allergic diseases in both hospitals. Their allergenic sensitization rates were determined via allergic skin prick and serum tests, after which their sensitization rates to allergenic fungi and pollens were calculated. The daily climatic variables were obtained from the Korea Meteorological Administration. RESULTS: The total annual atmospheric fungal concentrations decreased in both areas during the period. Simultaneously, we recruited 21,394 patients with allergies (asthma, 1,550; allergic rhinitis, 5,983; and atopic dermatitis, 5,422) from Seoul and Guri Hospitals for allergenic fungal sensitization evaluations over the period. The allergenic fungal sensitization rates decreased annually in both areas over that time `+(Alternaria [3.5%] and Cladosporium [4.4%] in 1998; Alternaria [0.2%] and Cladosporium [0.2%] in 2022). In contrast, the annual pollen concentrations increased with the sensitization rates to pollen in children. CONCLUSIONS: The atmospheric fungal concentrations decreased annually, with allergic sensitization rate decreasing over the period of 25 years. Allergenic fungal sporulation could decrease with climate changes, such as desertification and drought. Extended monitoring periods and further large-scale studies are required to confirm the causality and to evaluate the impact of climate change.
BACKGROUND: A better understanding of vector distribution and malaria transmission dynamics at a local scale is essential for implementing and evaluating effectiveness of vector control strategies. Through the data gathered in the framework of a cluster randomized controlled trial (CRT) evaluating the In2Care (Wageningen, Netherlands) Eave Tubes strategy, the distribution of the Anopheles vector, their biting behaviour and malaria transmission dynamics were investigated in Gbêkê region, central Côte d’Ivoire. METHODS: From May 2017 to April 2019, adult mosquitoes were collected monthly using human landing catches (HLC) in twenty villages in Gbêkê region. Mosquito species wereidentified morphologically. Monthly entomological inoculation rates (EIR) were estimated by combining the HLC data with mosquito sporozoite infection rates measured in a subset of Anopheles vectors using PCR. Finally, biting rate and EIR fluctuations were fit to local rainfall data to investigate the seasonal determinants of mosquito abundance and malaria transmission in this region. RESULTS: Overall, Anopheles gambiae, Anopheles funestus, and Anopheles nili were the three vector complexes found infected in the Gbêkê region, but there was a variation in Anopheles vector composition between villages. Anopheles gambiae was the predominant malaria vector responsible for 84.8% of Plasmodium parasite transmission in the area. An unprotected individual living in Gbêkê region received an average of 260 [222-298], 43.5 [35.8-51.29] and 3.02 [1.96-4] infected bites per year from An. gambiae, An. funestus and An. nili, respectively. Vector abundance and malaria transmission dynamics varied significantly between seasons and the highest biting rate and EIRs occurred in the months of heavy rainfall. However, mosquitoes infected with malaria parasites remained present in the dry season, despite the low density of mosquito populations. CONCLUSION: These results demonstrate that the intensity of malaria transmission is extremely high in Gbêkê region, especially during the rainy season. The study highlights the risk factors of transmission that could negatively impact current interventions that target indoor control, as well as the urgent need for additional vector control tools to target the population of malaria vectors in Gbêkê region and reduce the burden of the disease.
Anthrax is a serious infection caused by Bacillus anthracis. The anthracis spores are highly resistant and can persist in the environment for several decades. Therefore, anthrax is considered a global health threat affecting wildlife, livestock, and the general public. The resistance mechanism is influenced not only by the environment or the ecological niche but also by virulence factors. In the last 10 years the Southern and Southeastern Europe have been confronted with this threat. Recently, there have been 8 human anthrax cases reported in Croatia (2022), and 4 cases in Romania (2023). Moreover, this incident and the COVID situation could be a starting point to encourage researchers to raise the alarm. On the other hand, climate change is causing glaciers to melt and land to thaw, and many wetlands and swampy areas are being drained. It should not be forgotten that epidemiological and epizootic threats significantly affect the country’s economic development. The Covid-19 epidemic best illustrates these threats.
Global climate change, especially warming, has significant implications for human health. There are currently research gaps in the attribution of urban heat environment (UHE) changes and the exploration of heat exposure based on land use types. This study proposed a UHE change attribution algorithm based on land use types, separated contributions of natural factors (NAT), land use change (LUC), and other anthropogenic activities (OANT) in Chinese cities under Shared socioeconomic pathway-Representative concentration pathway (SSPRCP) scenarios over different periods in the 21st century, further evaluated population heat exposure changes of the same three factors during extreme heat (i.e., maximum daily temperatures exceeding 35 degrees C). The average UHE changes were projected to be positive over each future period. Total OANT contribution would be slightly higher than that of NAT in the same period and scenario, while in most cases, contribution intensity of NAT would be greater than that of OANT. Total contribution and intensity of LUC would remain low. Population heat exposure changes of OANT would be 15.46 and 15.21 times higher than those of NAT and LUC, respectively. The outcomes of this study will help guide adaptation and mitigation of UHE changes under future scenarios and reduce negative impacts on human health.
The successive flood-heat extreme (SFHE) event, which threatens the securities of human health, economy, and building environment, has attracted extensive research attention recently. However, the potential changes in SFHE characteristics and the global population exposure to SFHE under anthropogenic warming remain unclear. Here, we present a global-scale evaluation of the projected changes and uncertainties in SFHE characteristics (frequency, intensity, duration, land exposure) and population exposure under the Representative Concentration Pathway (RCP) 2.6 and 6.0 scenarios, based on the multi-model ensembles (five global water models forced by four global climate models) within the Inter-Sectoral Impact Model Intercomparison Project 2b framework. The results reveal that, relative to the 1970-1999 baseline period, the SFHE frequency is projected to increase nearly globally by the end of this century, especially in the Qinghai-Tibet Plateau (>20 events/30-year) and the tropical regions (e.g., northern South America, central Africa, and southeastern Asia, >15 events/30-year). The projected higher SFHE frequency is generally accompanied by a larger model uncertainty. By the end of this century, the SFHE land exposure is expected to increase by 12 % (20 %) under RCP2.6 (RCP6.0), and the intervals between flood and heatwave in SFHE tend to decrease by up to 3 days under both RCPs, implying the more intermittent SFHE occurrence under future warming. The SFHE events will lead to the higher population exposure in the Indian Peninsula and central Africa (<10 million person-days) and eastern Asia (<5 million person-days) due to the higher population density and the longer SFHE duration. Partial correlation analysis indicates that the contribution of flood to the SFHE frequency is greater than that of heatwave for most global regions, but the SFHE frequency is dominated by the heatwave in northern North America and northern Asia.
Under climate change, extreme heat events are projected to become more frequent and intense. With people spending approximately 90% for their time indoors and buildings having long lifetimes, it is important that the built environment is resilient to these changes. Current methods to assess building performance in a future climate typically use morphed weather files and annual metrics. We compare 30 metrics and 2 weather data sources to assess and improve the representation of extreme heat events in building simulation. We show that morphing an extreme observed year may not necessarily result in an equally extreme year under the future climate and that current annual metrics do not correlate well with heatwave severity. We suggest that weather data from climate models is more robust in representing future weather for the UK and explore the recent UKCP18 data. We propose novel metrics which are able to capture heatwave severity inside buildings.
Dengue fever is a virulent disease spreading over 100 tropical and subtropical countries in Africa, the Americas, and Asia. This arboviral disease affects around 400 million people globally, severely distressing the healthcare systems. The unavailability of a specific drug and ready-to-use vaccine makes the situation worse. Hence, policymakers must rely on early warning systems to control intervention-related decisions. Forecasts routinely provide critical information for dangerous epidemic events. However, the available forecasting models (e.g., weather-driven mechanistic, statistical time series, and machine learning models) lack a clear understanding of different components to improve prediction accuracy and often provide unstable and unreliable forecasts. This study proposes an ensemble wavelet neural network with exogenous factor(s) (XEWNet) model that can produce reliable estimates for dengue outbreak prediction for three geographical regions, namely San Juan, Iquitos, and Ahmedabad. The proposed XEWNet model is flexible and can easily incorporate exogenous climate variable(s) confirmed by statistical causality tests in its scalable framework. The proposed model is an integrated approach that uses wavelet transformation into an ensemble neural network framework that helps in generating more reliable long-term forecasts. The proposed XEWNet allows complex non-linear relationships between the dengue incidence cases and rainfall; however, mathematically interpretable, fast in execution, and easily comprehensible. The proposal’s competitiveness is measured using computational experiments based on various statistical metrics and several statistical comparison tests. In comparison with statistical, machine learning, and deep learning methods, our proposed XEWNet performs better in 75% of the cases for short-term and long-term forecasting of dengue incidence.
The Arab region has witnessed different biological hazards, including cholera, yellow fever, and the COVID-19 pandemic. In addition, changes in rainfall and increased vegetation cover led to locust outbreaks in Tunisia, Libya, Morocco, and Saudi Arabia. This problem still exists and affects more than 20 countries and concerns indicate food shortages and food insecurity for more than 20 million people. OBJECTIVE: This study aimed to detect mental health problems related to climate change in the Arab world. METHODS: A cross-sectional descriptive survey was applied to determine the prevalence of mental health problems related to climate change (MHPCC). A random sample consisted of 1080 participants (523 male and 557 female), residents in 18 Arab countries; their ages ranged from 25 to 60 years. The Mental Health Problems related to Climate Change Questionnaire (MHPCCQ) was completed online. RESULTS: The results indicated average levels of MHPCC prevalence. The results also revealed no significant statistical differences in the MHPCC due to gender, educational class, and marital status except in climate anxiety; there were statistical differences in favor of married subgroup individuals. At the same time, there are statistically significant differences in the MHPCC due to the residing country variable in favor of Syria, Yemen, Algeria, Libya, and Oman regarding fears, anxiety, alienation, and somatic symptoms. In addition, Tunisia, Bahrain, Sudan, and Iraq were higher in climate depression than the other countries. CONCLUSION: The findings shed light on the prevalence of MHPCC in the Arab world and oblige mental health system workers, including policymakers, mental health providers, and departments of psychology in Arab universities, to take urgent action to assess and develop the system for mental health to manage the risks of extreme climate change on the human mental health.
INTRODUCTION: Global warming and the increase in greenhouse gases are a current concern worldwide. The healthcare sector constitutes about 4.4% of all emissions. This study aims to evaluate the knowledge, awareness and attitudes of Therapeutic Radiographers/Radiation Therapists (TR/RTTs) regarding environment-related concepts to inform the development of educational curriculum. METHODS: A validated self-designed survey was distributed to TR/RTTs across Europe by the SAFE Europe partners and via social media between October 2021 and February 2022. The survey was divided into six sections: (i) demographics, (ii) knowledge of Circular Economy (CE) and Green Skills (GS), (iii) personal attitudes, (iv) TR/RTTs attitudes, (v) the importance of CE, and (vi) education. Questions consisted of mostly Likert scales complemented with other closed- and open-ended questions. RESULTS: 31%-42% of participants are aware of national and departmental policies in CE and GS concepts. Even though half of the participants considered that they advocate and practice CE, the open questions indicated that participants only focus on waste management, ignoring all the other dimensions of CE in healthcare. Personal attitudes and lifestyles also did not reflect CE. TR/RTTs considered CE practices and GS development essential. However, the suggested academic level at which these skills should be developed was split between High School (44%) and Bachelor’s degree (32%). CONCLUSION: It is essential to raise awareness among TR/RTTs about the various dimensions of CE applied to healthcare: “green transportation”, “environment-friendly procurement”, “hospital building design”, “food process optimisation”, “water reduction”, “energy efficiency”, and “waste management”. IMPLICATIONS FOR PRACTICE: These GS must be developed by TR/RTTs to decrease their impact on the environment. Their training may need to be lifelong, starting during basic high school education and continuing as healthcare professionals after graduation.
Exposure to extreme heat in pregnancy increases the risk of stillbirth. Progress in reducing stillbirth rates has stalled, and populations are increasingly exposed to high temperatures and climate events that may further undermine health strategies. This narrative review summarises the current clinical and epidemiological evidence of the impact of maternal heat exposure on stillbirth risk. Out of 20 studies, 19 found an association between heat and stillbirth risk. Recent studies based in low- to middle-income countries and tropical settings add to the existing literature to demonstrate that all populations are at risk. Additionally, both short-term heat exposure and whole-pregnancy heat exposure increase the risk of stillbirth. A definitive threshold of effect has not been identified, as most studies define exposure as above the 90th centile of the usual temperature for that population. Therefore, the association between heat and stillbirth has been found with exposures from as low as >12.64°C up to >46.4°C. The pathophysiological pathways by which maternal heat exposure may lead to stillbirth, based on human and animal studies, include both placental and embryonic or fetal impacts. Although evidence gaps remain and further research is needed to characterise these mechanistic pathways in more detail, preliminary evidence suggests epigenetic changes, alteration in imprinted genes, congenital abnormalities, reduction in placental blood flow, size and function all play a part. Finally, we explore this topic from a public health perspective; we discuss and evaluate the current public health guidance on minimising the risk of extreme heat in the community. There is limited pregnancy-specific guidance within heatwave planning, and no evidence-based interventions have been established to prevent poor pregnancy outcomes. We highlight priority research questions to move forward in the field and specifically note the urgent need for evidence-based interventions that are sustainable.
It is critical to gain insight into how climate change impacts evolutionary responses within climate-sensitive pathogen populations, such as increased resilience, opportunistic responses and the emergence of dominant variants from highly variable genomic backgrounds and subsequent global dispersal. This review proposes a framework to support such analysis, by combining genomic evolutionary analysis with climate time-series data in a novel spatiotemporal dataframe for use within machine learning applications, to understand past and future evolutionary pathogen responses to climate change. Recommendations are presented to increase the feasibility of interdisciplinary applications, including the importance of robust spatiotemporal metadata accompanying genome submission to databases. Such workflows will inform accessible public health tools and early-warning systems, to aid decision-making and mitigate future human health threats.
BACKGROUND: The study of climate change through a generational lens is meaningful when one considers the distinct attitudes, behaviors, values, and motivations of each generation. Individuals born between 1980 and 1999, referred to as the Millennial Generation (Millennials) and individuals born up to five years before or after 2000, referred to as Generation Z (Gen Z), may differ widely in their views, values, attitudes, and behaviors. This may lead to conflicts between these two cohorts. As Gen Z enters the labor market, their first-level supervisors will be, in many cases, the Millennials, who may view the topic of climate change-health concern nexus very differently than their Gen Z subordinates. Considering the perspectives of each generation may offer insights on how to engage them to act in an environmentally responsible way to counteract climate change effects. OBJECTIVE: The study reveals similarities and differences in how Millennials and Gen Z perceive the climate change-health concern nexus, which illuminates the understanding of the potential generational conflicts and the critical points where intervention is needed. METHOD: Interview data from 41 participants were analyzed via thematic analysis using the Quirkos software program. Reporting is in accordance with the COREQ guidelines. RESULTS: The interview questions elicited responses related to five dimensions: (i) Views of individual and community health; (ii) Knowledge around climate change; (iii) Perceived health impact; (iv) Attitudes towards climate change; (v) Behaviors related to climate change. The findings revealed a set of commonalities and differences in understanding the climate change-health concern nexus between the participants representative of each of the generations examined. One main result is that while most interviewees perceived changes in summer and winter temperatures, they failed to articulate how climate change affected their health. CONCLUSION: Thematic analysis revealed that the commonalities of views outweigh the differences between the two generations. A relevant remark is that participants can be described rather as “observers” than “players” since they do not tend to see themselves (through their behavior and their contribution) as active participants in the goal to fight climate change. Consequently, both generations undergo what Stephen Gardiner [1] called “intergenerational buck-passing.”
Climate change and mental health concerns are both defining issues of the generation of today. It has been established that the worsening climate causes many environmental disasters and physical health problems. However, its psychological impacts are still not well understood. Climate change has brought about an emerging psychological phenomenon termed ‘climate anxiety’ or ‘eco-anxiety,’ which has been described as a “chronic fear of environmental doom” (Clayton et al., 2017, p. 68) due to the impact of climate change. This predictive cross-sectional study investigated the link between climate change anxiety and mental health among 433 Filipinos. A total of 145 males and 288 females aged 18 to 26 completed the Climate Change Anxiety Scale and the Mental Health Inventory (MHI-38). Results show a significant relationship between climate change anxiety and mental health, with climate change anxiety predicting 13.5% of the overall Mental Health Index variance. Significantly, climate change anxiety was associated with the MHI-38’s global scale of Psychological Distress but not with the global scale of Psychological Well-being. The findings are discussed concerning the broader context of research on the mental health impacts of climate change.
In December 2020, over 500 residents of Eluru City were hospitalised with seizures and sudden loss of consciousness (LOC) resembling the neurotoxic effects of organochlorine poisoning after a flooding event during the last week of November 2020. We described the epidemiological investigation of outbreak and identified risk factors. Methods: We performed descriptive analysis followed by 1:1 unmatched case-control study. Cases were identified through house-to-house search and review of medical records at district hospital. A case defined as sudden onset LOC or new-onset seizures in an Eluru resident aged >= 1 year, December 1-15, 2020 and a control as absence of neurological symptoms in a person aged >= 1 year selected randomly from same administrative division of the case. We compared cases and controls for possible risk factors and calculated adjusted odds ratio (aOR) with 95% confidence interval (CI). Biological and environmental samples were tested for contaminants. Results: We identified 545 cases (56% males), including one death. Seizures were reported in 491 (90%) cases. Median age was 27 years (interquartile range: 17-37 years) and 480 (88%) cases resided in urban area. Cases were clustered in administrative divisions supplied by municipal water reservoirs. Cases were more likely than controls to use municipal water as primary source of drinking water (aOR = 4.6, 95% CI = 1.6-13.0). High levels (average: 14.6 mg/l) of organochlorine compounds were detected in all municipal water samples (acceptable limit: <0.001 mg/l). Conclusion: This investigation highlights water ingestion as an exposure pathway for environmental contami-nants (organochlorines) in the community after largescale flooding. We recommended strengthening safe water surveillance in natural disaster response contingency plans in Eluru.
The number of non-accidental deaths and heat-related illnesses due to the co-occurrence of heatwaves and COVID-19 has been identified to estimate compound health impacts between two risks. We have analyzed data from historical years (2013-2019) to calculate the baseline values of the number of non-accidental deaths and heat-related illness patients from May to September using a quasi-Poisson generalized linear model and compared them to data from 2020 in Korea. We also assessed the relative risk and absolute cumulative number of non-accidental deaths and heat-related illnesses in the summer of 2020 in Seoul, Daegu, and Gyeongnam region of Korea. In the Summer of 2020, Korea experienced 0.8% of non-accidental excess deaths, with the highest in August, and 46% of reduction was observed in heat-related throughout the study period, except in Daegu, where excess of heat-related illness occurred in August. The relative risk (RR) of non-accidental deaths at 33.1 °C, was 1.00 (CI 0.99-1.01) and 1.04 (CI 1.02-1.07) in 2013-2019 and 2020, respectively. The RR of heat-related illness at 33.1 °C, was 1.44 (CI 1.42-1.45) and 1.59 (CI 1.54-1.64) in 2013-2019 and 2020, respectively. The absolute cumulative trends of non-accidental deaths and heat-related illnesses were similar in the three regions, indicating increased non-accidental deaths and decreased heat-related illnesses at similar temperatures in 2020. During the COVID-19 pandemic, the fear of infection by the virus and the limited access to healthcare services led to changes in health-seeking behaviors. These results indicate social distancing could have had adverse impacts on other health conditions. A comprehensive health risk assessment is important when facing simultaneous risks, such as heatwaves and pandemics, in the implementation of effective countermeasures.
Heatwaves have caused significant damage to human health, infrastructure, and economies in recent decades, and the occurrences of heatwaves are becoming more frequent and severe across the globe under climate change. The previous studies on heatwaves have primarily focused on air temperature, neglecting other variables like wind speed, relative humidity, and radiation, which could lead to a serious underestimation of the adverse effects of heatwaves. To address this issue, this study proposed to the use of more sophisticated thermal indices, such as universal thermal climate index (UTCI) and apparent temperature (AT), to define heatwaves and carry out a comprehensive heatwave assessment over mainland southeast Asia (MSEA) from 1961 to 2020. The traditional temperature-based method was also compared. The results of the study demonstrate that the annual maximum temperature in heatwave days (HWA) and the annual average temperature in heatwave days (HWM) are significantly underestimated if only air temperature is considered. However, UTCI and AT tend to predict a lower frequency of yearly heatwave occurrences and shorter durations. Trend analysis indicates a general increase in heatwave occurrences across MSEA under all thermal indices in the past six decades, particularly in the last 30 years. This study’s approach and findings provide a holistic view of heatwave characteristics based on thermal indices and highlight the risk of intensified heat stress during heatwaves in MSEA.
The Aedes aegypti mosquito is the main vector of dengue and is a synanthropic insect and due to its anthropophilic nature, it has specific reproductive needs. In addition to that, it also needs tropical regions that provide climate-prone conditions that favor vector development. In this article, we propose the cross-correlation analysis between the climatic variables air temperature, relative humidity, weekly average precipitation and dengue cases in the period from 2017 to early 2021 in the municipality of Alagoinhas, Bahia, Brazil. To do so, we apply the trend-free cross-correlation, [Formula: see text], being a generalization of the fluctuation analysis without trend, where we calculate the cross correlation between time series to establish the influence of these variables on the occurrence of dengue disease. The results obtained here were a moderate correlation between relative humidity and the incidence of dengue cases, and a low correlation for relative air temperature and precipitation. However, the predominant factor in the incidence of dengue cases in the city of Alagoinhas is relative humidity and not air temperature and precipitation.
PURPOSE OF REVIEW: Environmental exposures have been associated with increased risk of cardiovascular mortality and acute coronary events, but their relationship with out-of-hospital cardiac arrest (OHCA) and sudden cardiac death (SCD) remains unclear. SCD is an important contributor to the global burden of cardiovascular disease worldwide. RECENT FINDINGS: Current literature suggests a relationship between environmental exposures and cardiovascular disease, but their relationship with OHCA/SCD remains unclear. A literature search was conducted in PubMed, Embase, Web of Science, and Global Health. Of 5138 studies identified by our literature search, this review included 30 studies on air pollution, 42 studies on temperature, 6 studies on both air pollution and temperature, and 1 study on altitude exposure and OHCA/SCD. Particulate matter air pollution, ozone, and both hot and cold temperatures are associated with increased risk of OHCA/SCD. Pollution and other exposures related to climate change play an important role in OHCA/SCD incidence.
Airborne pollen monitoring has been conducted for more than a century now, as knowledge of the quantity and periodicity of airborne pollen has diverse use cases, like reconstructing historic climates and tracking current climate change, forensic applications, and up to warning those affected by pollen-induced respiratory allergies. Hence, related work on automation of pollen classification already exists. In contrast, detection of pollen is still conducted manually, and it is the gold standard for accuracy. So, here we used a new-generation, automated, near-real-time pollen monitoring sampler, the BAA500, and we used data consisting of both raw and synthesised microscope images. Apart from the automatically generated, commercially-labelled data of all pollen taxa, we additionally used manual corrections to the pollen taxa, as well as a manually created test set of bounding boxes and pollen taxa, so as to more accurately evaluate the real-life performance. For the pollen detection, we employed two-stage deep neural network object detectors. We explored a semi-supervised training scheme to remedy the partial labelling. Using a teacher-student approach, the model can add pseudo-labels to complete the labelling during training. To evaluate the performance of our deep learning algorithms and to compare them to the commercial algorithm of the BAA500, we created a manual test set, in which an expert aerobiologist corrected automatically annotated labels. For the novel manual test set, both the supervised and semi-supervised approaches clearly outperform the commercial algorithm with an F1 score of up to 76.9 % compared to 61.3 %. On an automatically created and partially labelled test dataset, we obtain a maximum mAP of 92.7 %. Additional experiments on raw microscope images show comparable performance for the best models, which potentially justifies reducing the complexity of the image generation process. Our results bring automatic pollen monitoring a step forward, as they close the gap in pollen detection performance between manual and automated procedure.
In the past few decades, the prevalence of allergic diseases has increased worldwide. Here, we review the etiology and pathophysiology of allergic diseases, including the role of the epithelial barrier, the immune system, climate change, and pollutants. Our current understanding of the roles of early life and infancy; diverse diet; skin, respiratory, and gut barriers; and microbiome in building immune tolerance to common environmental allergens has led to changes in prevention guidelines. Recent developments on the mechanisms involved in allergic diseases have been translated to effective treatments, particularly in the past 5 years, with additional treatments now in advanced clinical trials.
To assess the impacts of ambient temperature on hospitalizations of people experiencing homelessness. Methods. We used daily time-series regression analysis employing distributed lag nonlinear models of 148 177 emergency inpatient admissions with “no fixed abode” and 20 804 admissions with a diagnosis of homelessness in London, United Kingdom, in 2011 through 2019. Results. There was a significantly increased risk of hospitalization associated with high temperature; at 25°C versus the minimum morbidity temperature (MMT), relative risks were 1.359 (95% confidence interval [CI] = 1.216, 1.580) and 1.351 (95% CI = 1.039, 1.757) for admissions with “no fixed abode” and admissions with a homelessness diagnosis, respectively. Between 14.5% and 18.9% of admissions were attributable to temperatures above the MMT. No significant associations were observed with cold. Conclusions. There is an elevated risk of hospitalization associated with even moderately high temperatures in individuals experiencing homelessness. Risks are larger than those reported in the general population. Public Health Implications. Greater emphasis should be placed on addressing homeless vulnerabilities during hot weather rather than cold. Activation thresholds for interventions such as the Severe Weather Emergency Protocol (SWEP) could be better aligned with health risks. Given elevated risks at even moderate temperatures, our findings support prioritization of prevention-oriented measures, rather than crisis response, to address homelessness. (Am J Public Health. 2023;113(9):981-984. https://doi.org/10.2105/AJPH.2023.307351).
Increasing evidence indicates that ambient outdoor temperature could affect mental health, which is especially concerning in the context of climate change. We aimed to comprehensively analyse the current evidence regarding the associations between ambient temperature and mental health outcomes. METHODS: We did a systematic review and meta-analysis of the evidence regarding associations between ambient outdoor temperature and changes in mental health outcomes. We searched WebOfScience, Embase, PsychINFO, and PubMed for articles published from database origin up to April 7, 2022. Eligible articles were epidemiological, observational studies in humans of all ages, which evaluated real-world responses to ambient outdoor temperature, and had mental health as a documented outcome; studies of manipulated or controlled temperature or those with only physical health outcomes were excluded. All eligible studies were synthesised qualitatively. If three or more studies reported the same or equivalent effect statistics and if they had equivalent exposure, outcome, and metrics, the studies were pooled in a random-effects meta-analysis. The risk of bias for individual studies was assessed using the Newcastle-Ottawa Scale. The quality of evidence across studies was assessed using the Office of Health Assessment and Translation (OHAT) approach. FINDINGS: 114 studies were included in the systematic review, of which 19 were suitable for meta-analysis. Three meta-analyses were conducted for suicide outcomes: a 1°C increase in mean monthly temperature was associated with an increase in incidence of 1·5% (95% CI 0·8-2·2, p<0·001; n=1 563 109, seven effects pooled from three studies); a 1°C increase in mean daily temperature was associated with an increase in incidence of 1·7% (0·3-3·0, p=0·014; n=113 523, five effects pooled from five studies); and a 1°C increase in mean monthly temperature was associated with a risk ratio of 1·01 (95% CI 1·00-1·01, p<0·001; n=111 794, six effects pooled from three studies). Three meta-analyses were conducted for hospital attendance or admission for mental illness: heatwaves versus non-heatwave periods were associated with an increase in incidence of 9·7% (95% CI 7·6-11·9, p<0·001; n=362 086, three studies); the risk ratio at the 99th percentile of daily mean temperature compared with the 50th percentile was 1·02 (95% CI 1·01-1·03, p=0·006; n=532 296, three studies); and no significant association was found between a 10°C increase in daily mean temperature and hospital attendance. In a qualitative narrative synthesis, we found that ambient outdoor temperature (including absolute temperatures, temperature variability, and heatwaves) was positively associated with attempted and completed suicides (86 studies), hospital attendance or admission for mental illness (43 studies), and worse outcomes for community mental health and wellbeing (19 studies), but much of the evidence was of low certainty with high heterogeneity. INTERPRETATION: Increased temperature and temperature variability could be associated with increased cases of suicide and suicidal behaviour, hospital attendance or admission for mental illness, and poor community health and wellbeing. Climate change is likely to increase temperature anomalies, variability, and heatwaves as well as average temperatures; as such, health system leaders and policy makers must be adequately prepared and should develop adaptation strategies. More high-quality, standardised research is required to improve our understanding of these effects. FUNDING: None.
BACKGROUND: The seasonal fluctuation in mortality and hospital admissions from respiratory diseases, with a winter peak and a summer trough, is widely recognized in extratropical countries. However, little is known about the seasonality of inpatient mortality and the role of ambient temperature remains uncertain. We aimed to analyse the association between ambient temperature and in-hospital mortality from respiratory diseases in the provinces of Madrid and Barcelona, Spain. METHODS: We used data on daily hospitalisations, weather (ie, temperature and relative humidity) and air pollutants (ie, PM(2.5), PM(10), NO(2) and O(3)) for the Spanish provinces of Madrid and Barcelona during 2006-2019. We applied a daily time-series quasi-Poisson regression in combination with distributed lag non-linear models (DLNM) to assess, on the one hand, the seasonal variation in fatal hospitalisations and the contribution of ambient temperature, and on the other hand, the day-to-day association between temperature and fatal hospital admissions. The analyses were stratified by sex, age and primary diagnostic of hospitalisation. FINDINGS: The study analysed 1 710 012 emergency hospital admissions for respiratory diseases (mean [SD] age, 60.4 [31.0] years; 44.2% women), from which 103 845 resulted in in-hospital death (81.4 [12.3] years; 45.1%). We found a strong seasonal fluctuation in in-hospital mortality from respiratory diseases. While hospital admissions were higher during the cold season, the maximum incidence of inpatient mortality was during the summer and was strongly related to high temperatures. When analysing the day-to-day association between temperature and in-hospital mortality, we only found an effect for high temperatures. The relative risk (RR) of fatal hospitalisation at the 99th percentile of the distribution of daily temperatures vs the minimum mortality temperature (MMT) was 1.395 (95% eCI: 1.211-1.606) in Madrid and 1.612 (1.379-1.885) in Barcelona. In terms of attributable burden, summer temperatures (June-September) were responsible for 16.2% (8.8-23.3) and 22.3% (15.4-29.2) of overall fatal hospitalisations from respiratory diseases in Madrid and Barcelona, respectively. Women were more vulnerable to heat than men, whereas the results by diagnostic of admission showed heat effects for acute bronchitis and bronchiolitis, pneumonia and respiratory failure. INTERPRETATION: Unless effective adaptation measures are taken in hospital facilities, climate warming could exacerbate the burden of inpatient mortality from respiratory diseases during the warm season. FUNDING: European Research Council Consolidator Grant EARLY-ADAPT, European Research Council Proof-of-Concept Grants HHS-EWS and FORECAST-AIR.
Pregnancy is increasingly considered a period of vulnerability for extreme heat exposure. Multiple lines of evidence support that heat stress is associated with placental insufficiency, poor fetal growth and decreased birth weight. In this narrative review, we first summarize evidence linking ambient temperature or experimentally-induced heat stress with fetal and placental growth outcomes in humans, ruminants and murine species. We then synthesize the literature on putative underlying biological pathways with a focus on the placenta. Reviewed mechanisms include: reduced uterine-placental blood flow, impaired supply of metabolic substrates to the fetus, activation of the maternal stress-response system, and disruption of other endocrine and immune system endpoints. Taken together, this body of evidence supports that exposure to extreme ambient heat likely has adverse consequences for placental development and function. However, research investigating placenta-mediated pathophysiological mechanisms in humans remains extremely limited.
Communities around the world living in either urban or rural areas continue to experience serious WASH problems during flood episodes. Communities and individual households are affected differently depending on their coping capacities and their resource base. Flooding causes extensive damage to water and sanitation infrastructure, leaving communities vulnerable to WASH-related illnesses. This paper aimed to analyze factors influencing the community WASH experiences during flood incidences in Tsholotsho District using a Seemingly Unrelated Regression (SUR) model. The quantitative approach was used in this study. A questionnaire was used to collect data from household heads in Tsholotsho District. A total of 218 Questionnaires were administered in four wards that were purposively selected for this study. Gathered data were analyzed using the Statistical Package for Social Sciences (SPSS Version 22) and principal component analysis was done, which culminated in a SUR model. The key findings of the study were that outbreaks of water and hygiene-related diseases, ponding of water which provides a breeding ground for mosquitoes, and contamination of surface water were the major WASH problems experienced in Tsholotsho District among other problems. The study also found that access to Non-Governmental Organisations (NGOs) programs, access to treated water, and level of education were positive and statistically significant in influencing some of the problems experienced during flooding. To increase the coping capacities of Tsholotsho communities, it is pertinent for governments and NGOs to consider implementing more WASH programs, increasing access to safe and clean drinking water, and increasing the level of education of communities.
Urban waterlogging has occurred frequently in recent years due to the impact of climate change and human activities. Real-time waterlogging information is crucial for disaster emergency management, but how to quickly obtain such information remains challenging. Social media data has been widely used to derive damage information because of its high real-time response, low acquisition cost, and high content integration. In this study, we propose an approach to extract real-time waterlogging points from social media data (Sina Weibo). First, social media data is obtained through web crawler technology; Then, de-duplication and de-noising methods are used to filter the data; Finally, a waterlogging point extraction method based on deep learning BERT-BiLSTMCRF model is proposed to extract waterlogging points. Taking the “7.20” rainstorm in Zhengzhou as an example, there was a rapid increase in the number of social media data during urban waterlogging. Social media data is highly sensitive to urban waterlogging disasters caused by extreme rainstorms. On the day with the heaviest rainfall (July 20), the number of Weibo waterlogging points (331) in the central city was 267 more than the official waterlogging points (64). There were many more Weibo-derived waterlogging points than the realtime official published waterlogging points. The waterlogging points obtained by this approach covered the official published real-time waterlogging points accounted for no less than 82% and they were mostly located around roads, especially in low-lying areas. In general, we demonstrate the feasibility and accuracy of social media data on rapid detection of real-time spatiotemporal variations of waterlogging caused by extreme rainstorms. Urban waterlogging disaster information extracted from social media data can rapidly reflect the realtime spatiotemporal variations of urban waterlogging disasters, and can effectively cover and supplement data reported by government agencies, and can provide data support for urban waterlogging disaster prevention.
Rapid hospital arrival decreases mortality risk in heat-related illnesses. We investigated an easy-to-use indicator of life-threatening severity of heat-related illnesses in a community setting to enable quick hospitalization by using data extracted from prehospital transportation records of a database from 2016 that included information on the clinical severity of suspected heat-related illnesses in patients (n = 2528) upon hospital arrival. Patient-related risk factors (adjusted odds ratio, aOR [95% confidence interval, CI]) included age, vital signs, location of the patient, and illness severity, and respiratory rate (3.34 [1.80-6.22]), heart rate (2.88 [1.57-5.29]), axillary body temperature (7.79 [4.02-15.1]), and consciousness level (38.3 [5.22-281.1]) were independent risk factors for heat-related illness severity. On-site blood pressure was not an independent factor for illness severity. Heart rate > 120 beats/min, respiratory rate > 24 breaths/min, and temperature > 38.6 °C (highest areas under the receiver operating characteristic curves [95% CI]: 0.80 [0.75-0.87]; 0.73 [0.67-0.81]; and 0.83 [0.77-0.91], respectively) predicted life-threatening illness severity. Changes in the vital signs of patients with heat-related illnesses, particularly tachycardia and tachypnea, constitute sensitive, easy-to-use indicators that facilitate rapid identification of severity by laypersons and transport of patients before aggravation to a life-threatening situation.
The paper exposes the experience of Valencia in applying climate-resilient thinking to the current revision of the city’s General Urban Development Plan. A semi-quantitative, indicator-based risk assessment of heat stress was carried out on the 23 functional areas of the city sectorized by the Plan, including modeling and spatial analysis exercises. A data model of 18 indicators was built to characterize vulnerability. A thermal stress map was developed using the URbCLim model and a heat index was then calculated using Copernicus hourly data (air temperature, humidity, and wind speed) for the period of January 2008-December 2017 at a spatial resolution of 100 m x 100 m. General recommendations at the city level as well as guidelines for development planning in the functional areas at risk are provided, with specifications for the deployment of nature-based solutions as adaptation measures. From a planning perspective, the study positively informs the General Urban Development Plan, the City Green and Biodiversity Plan, and contributes to City Urban Strategy 2030 and City Missions 2030 for climate adaptation and neutrality. Applying the same approach to other climate change-related hazards (i.e., water scarcity, pluvial flooding, sea level rise) will allow better informed decisions towards resilient urban planning.
With the advent of the sustainable development goals, the field of global child health has shifted its focus from reducing mortality to improving health, nutrition and development outcomes – often measured as human capital. A growing knowledge of the biology of development and neuroscience has highlighted the importance of adverse environmental exposures, collectively termed adverse childhood experiences (ACEs) on health outcomes. ACEs are associated with short-term, medium-term and long-term negative consequences for health and development and their effects may be multiplicative, especially during critical periods of sensitivity and developmental plasticity. Some of these effects are compounded by emerging global threats such as climate change, conflict and population displacement. In this Review, we discuss the key mechanisms linking ACEs to health outcomes and consider promising strategies to prevent and mitigate their effects, highlighting evidence from programs in low-income and middle-income countries. Finally, we emphasize the need for early recognition of ACEs and delivery of packages of interventions spanning key sectors such as health, education, women’s empowerment and social protection.
Evidence linking temperature with adverse perinatal and pregnancy outcomes is emerging. We searched for literature published until 30 January 2023 in PubMed, Web of Science, and reference lists of articles focusing on the outcomes that were most studied like preterm birth, low birth weight, stillbirth, and hypertensive disorders of pregnancy. A review of the literature reveals important gaps in knowledge and several methodological challenges. One important gap is the lack of knowledge of how core body temperature modulates under extreme ambient temperature exposure during pregnancy. We do not know the magnitude of non-modulation of body temperature during pregnancy that is clinically significant, i.e., when the body starts triggering physiologic counterbalances. Furthermore, few studies are conducted in places where extreme temperature conditions are more frequently encountered, such as in South Asia and sub-Saharan Africa. Little is also known about specific cost-effective interventions that can be implemented in vulnerable communities to reduce adverse outcomes. As the threat of global warming looms large, effective interventions are critically necessary to mitigate its effects.
INTRODUCTION: Ambient ozone pollution becomes critical in China. Conclusions on the short-term effects of ozone on cardiovascular mortality have been controversial and limited on cause-specific cardiovascular mortalities and their interactions with season and temperature. This research aimed to investigate the short-term effects of ozone and the modifications of season and temperature on cardiovascular mortality. METHODS: Cardiovascular death records, air pollutants, and meteorological factors in Shenzhen from 2013 to 2019 were analyzed. Daily 1-h maximum of ozone and daily maximum 8-h moving average of ozone were studied. Generalized additive models (GAMs) were applied to evaluate their associations with cardiovascular mortalities in sex and age groups. Effect modifications were assessed by stratifying season and temperature. RESULTS: Distributed lag impacts of ozone on total cardiovascular deaths and cumulative effects on mortality due to ischemic heart disease (IHD) were most significant. Population under 65 years old was most susceptible. Majority of significant effects were found in warm season, at high temperature, and at extreme heat. Ozone-associated risks in total deaths caused by hypertensive diseases reduced in warm season, while risks in IHD in males increased at high temperature. Extreme heat enhanced ozone effects on deaths caused by CVDs and IHD in the population under 65 years old. DISCUSSION: The revealed cardiovascular impacts of ozone below current national standard of air quality suggested improved standards and interventions in China. Higher temperature, particularly extreme heat, rather than warm season, could significantly enhance the adverse effects of ozone on cardiovascular mortality in population under 65 years old.
Climate justice is not just a financial transaction to protect the environment. It needs to be seen as the protection of the most vulnerable in society after centuries of resource exploitation. African countries disproportionately face impacts of climate change on their environments, their economies, their resources and their infrastructure. This leads to greater vulnerability and increased exposure to the negative effects of a changing climate. In this article, we highlight the importance of climate justice and its role within the United Nations negotiations, and ultimately in concrete action. We discuss current climate impacts across key sectors in the African region, with a focus on health, infrastructure, food and water scarcity, energy and finance. All sectors are affected by climate change. They are interconnected and under threat. This triggers a ripple effect, where threats in one sector have a knock-on effect on other sectors. We find that the current set of intergovernmental institutions have failed to adequately address climate justice. We also contend that a siloed approach to climate action has proven to be ineffective. As we head towards the next set of negotiations (COP27), this paper argues that the economic and social conditions in Africa can be addressed through financial and collaborative support for adaptation and localised solutions, but that this will only be achieved if climate justice is prioritised by the decision makers. This needs to include a global-scale transition in how climate finance is assessed and accessed. Climate justice underpins real, effective and sustainable solutions for climate action in Africa.
This review examines the nexus of poverty, malnutrition and diseases in Africa, the challenges, implications and their mitigation. The paper takes a critical look at available literatures on the primary causes, modes, implications and solutions to the problems of poverty, malnutrition and diseases in Africa continent. Poverty and malnutrition are outcomes of uncontrolled rapid population growth, inefficient agricultural and industrial practices, high debt profile of many African countries due to poor governance and corruption, diseases such as AIDS epidemic, malaria, Ebola virus and COVID-19 pandemic, poor and inadequate health infrastructure and armed conflicts. African poverty scenario entails non-availability of basic human needs which makes many Africans to be very poor. Despite abundance of natural resources, the gross domestic product per capita of many African countries is among the lowest of list of nations of the world. According United Nation in 2009, 22 of 24 nations among the “Low Human Development” nations of the world on the UN’s Human Development Index were found in sub-Saharan Africa. Out of the 50 countries on the United Nation list of least developed countries, 34 of them were in Africa. According to FAO data over 200 million people in sub-Saharan Africa were undernourished in 2014-2016. The prevalence of undernourishment in sub-Saharan Africa rose from 181 million in 2010 to 222 million in 2016. In 2016, Africa had the highest prevalence of undernourishment in the world and estimated to be 20% of the population. While this was alarming in Eastern Africa where one-third of the population is suspected to be undernourished. In a similar data, World Bank also found that sub-Saharan Africa Poverty and Equity Data was 47% with over 500 million people in abject poverty in 2012. Poverty is the major cause of hunger and malnutrition in Africa while hunger and malnutrition escalated the problem of diseases in African continent. Poverty has continued to torment Africa as a result of poor and harmful economic policies, conflict and war, environmental factors like drought and climate change and population growth, poor leadership and greed. With the advent of COVID-19, the problem of poverty, malnutrition and diseases has been escalated and in many African countries people find it difficult to make ends meet.
Worldwide, 40% population consumes wheat (Triticum aestivum L.) as a staple food that is low in zinc (Zn) content. Zn deficiency is a major micronutrient disorder in crop plants and humans worldwide, adversely impacting agricultural productivity, human health and socio-economic concern. Globally, the entire cycle of increasing the Zn concentration in wheat grains and its ultimate effect on grain yield, quality, human health & nutrition and socio-economic status of livelihood is less compared. So the present studies were planned to compare the worldwide studies for the alleviation of Zn malnutrition. Zn intake is affected by numerous factors from soil to crop, crop to food and food to humans. The post-harvest fortification, diversification in dietary habits, mineral supplementation and biofortification are various possible approaches to enhance the Zn concentration in food. The wheat grains Zn is influenced by the Zn application technique and time concerning crop developmental stages. The use of soil microorganisms mobilize unavailable Zn, and improve Zn assimilation, plant growth, yield and Zn content in wheat. Climate change can have an inverse impact on the efficiency of agronomic biofortification methods due to a reduction in grain-filling stages. Agronomic biofortification can improve Zn content, crop yield as well as quality and ultimately, have a positive impact on human nutrition, health and socioeconomic status of livelihood. Though bio-fortification research has progressed, some crucial areas are still needed to be addressed or improved to achieve the fundamental purpose of agronomic biofortification.
Exposure to air pollution is a major contributor to the pathogenesis of COPD worldwide. Indeed, most recent estimates suggest that 50% of the total attributable risk of COPD may be related to air pollution. In response, the Global Initiative for Chronic Obstructive Lung Disease (GOLD) Scientific Committee performed a comprehensive review on this topic, qualitatively synthesised the evidence to date and proffered recommendations to mitigate the risk. The review found that both gaseous and particulate components of air pollution are likely contributors to COPD. There are no absolutely safe levels of ambient air pollution and the relationship between air pollution levels and respiratory events is supra-linear. Wildfires and extreme weather events such as heat waves, which are becoming more common owing to climate change, are major threats to COPD patients and acutely increase their risk of morbidity and mortality. Exposure to air pollution also impairs lung growth in children and as such may lead to developmental COPD. GOLD recommends strong public health policies around the world to reduce ambient air pollution and for implementation of public warning systems and advisories, including where possible the use of personalised apps, to alert patients when ambient air pollution levels exceed acceptable minimal thresholds. When household particulate content exceeds acceptable thresholds, patients should consider using air cleaners and filters where feasible. Air pollution is a major health threat to patients living with COPD and actions are urgently required to reduce the morbidity and mortality related to poor air quality around the world.
Increased fossil fuel usage and extreme climate change events have led to global increases in greenhouse gases and particulate matter with 99% of the world’s population now breathing polluted air that exceeds the World Health Organization’s recommended limits. Pregnant women and neonates with exposure to high levels of air pollutants are at increased risk of adverse health outcomes such as maternal hypertensive disorders, postpartum depression, placental abruption, low birth weight, preterm birth, infant mortality, and adverse lung and respiratory effects. While the exact mechanism by which air pollution exerts adverse health effects is unknown, oxidative stress as well as epigenetic and immune mechanisms are thought to play roles. Comprehensive, global efforts are urgently required to tackle the health challenges posed by air pollution through policies and action for reducing air pollution as well as finding ways to protect the health of vulnerable populations in the face of increasing air pollution.
This study developed a gradient-boosted regression tree-based artificial intelligence (AI) model–temperature reduction effect AI model (TREAM)–to determine the temperature reduction effect of fog cooling that varies with weather conditions. According to the trend of global warming, our society is suffering from serious damage from urban heat islands, especially negatively affecting human health and thermal comfort. Therefore, it is very important to develop and evaluate adaptive technology for providing pleasant thermal comfort to humans. This study select fog cooling as adaptive technology for human thermal comfort, and indoor and outdoor simulation were performed using STAR CCM+, a computational fluid dynamics(CFD) program. Moreover, transient analysis to validate the outdoor model of CFD and parametric study to identify the correlation between the environmental factors and fog cooling were performed. When initial temperature set as 45 degrees C at a relative humidity of 90% and wind speed of 1 m/s, a temperature reduction of 8.92% can be obtained. Regardless of the temperature and humidity conditions, the temperature reduction effect of fog cooling was similar to 1% if the wind speed increased above 5 m/s. This study contributed to the quantitative analysis of the temperature reduction effect according to the change of environmental factors.
The current food system and food choices have resulted in the increased human use of natural resources such as water and soil, and have directly impacted the ‘Global Syndemic’-climate change, obesity, and undernutrition. Revitalising Indigenous food systems and incorporating native plant-based foods into current food systems may have the potential to reduce diet-linked chronic diseases and environmental degradation, and are important steps toward Indigenous rights and self-determination. This study aims to identify and describe Aboriginal food practices and Australian native plant-based foods and their social, environmental, and economic impacts on sustainable food systems. A scoping review was conducted using the five-stage framework informed by Arksey and O’Malley. To describe the results, the framework for sustainable food systems from the Food and Agriculture Organization of the United Nations-FAO was used. Articles were included if they described the impacts of Aboriginal food practices on sustainable food systems, were confined to studies that were conducted in the Australian context, and included native Australian plant-based foods. A total of 57 studies were identified that met the inclusion criteria. The major social impacts incorporated the nutritional and health benefits of Australian native plant-based foods, such as antidiabetic properties, anticancer and antioxidant activities, and cultural identification, involving Aboriginal ecological knowledge and their connection to their country. Within the environmental impacts category, studies showed that Australian native plant-based foods have environmental stress tolerance and some ecosystem benefits. The main economic impacts discussed in the literature were the source of income for remote communities and the potential market for Australian native plant-based foods. This review demonstrates that Aboriginal food practices and Australian native plant-based foods can contribute to more sustainable food systems and diets and give more voice and visibility to Aboriginal knowledge and aspirations. More research and investments are needed to face the challenges of including these foods in our current food systems.
Climate change is a threat to human health and wellbeing across the world. In recent years, there has been a surge in awareness of this crisis, leading to many countries and organisations setting “net-zero” targets. This entails minimising carbon emissions and neutralising remaining emissions by removing carbon from the atmosphere. At the 2022 United Nations Climate Change Conference (COP27), commitments to transition away from fossil fuels and augment climate targets were underwhelming. It is therefore imperative for public and private sector organisations to demonstrate successful implementation of net-zero and set a precedent for the global political consensus. As a top 10 world employer, the United Kingdom National Health Service (NHS) has pledged to reach net-zero by 2045. The NHS has already taken positive steps forward, but its scale and complexity as a health system means stakeholders in each of its services must highlight the specifications for further progress. Dry eye disease is a chronic illness with an estimated global prevalence of 29.5% and an environmentally damaging care pathway. Moreover, environmental damage is a known aggravator of dry eye disease. Worldwide management of this illness generates copious amounts of non-recyclable waste, utilises inefficient supply chains and involves recurrent follow-up appointments and prescriptions. By mapping the dry eye disease care pathway to environmental impact, in this review we will highlight seven key areas in which reduced emissions and pollution could be targeted. Examining these approaches for improved environmental sustainability is critical in driving the transformation needed to preserve our health and wellbeing.
Drawing on ethnographic research with Indigenous Ma over bar ori women in northern Aotearoa (New Zealand) we challenge the presumed benefits of neoliberal, infrastructural-focussed climate adaptation, and advocate for far greater engagement with multiple subjectivities and intersecting inequalities in the design of climate adaptation in Global North, settler colonial contexts. Focussing on a government-led water storage project that aims to enhance local communities’ economic wellbeing through climate-adapted horticulture, we demonstrate how interlinked forms of marginalisation and privilege mediate the distribution of benefits from climate adaptation and decrease rather than increase wellbeing for multiply marginalised subjectivities. Combining the concept of racial capitalism with intersectionality we advance a novel theoretical framework to advance insights about more equitable and nuanced adaptation in an under-researched, settler colonial context. Using this framework, we explore the maladaptive potential of the water project which grows regional economic resilience through violent climate-related alterations to low-income, single and/or older Ma over bar ori women’s bodies. We demonstrate how settler colonial legacies, structures, and intergenerational traumas are lived through and collide with intersecting racial, class, gender, and age-based disadvantages, that together mediate local labour relations and decisionmaking processes that ultimately exacerbate climate vulnerability for particular groups of Ma over bar ori women in the region.
The Association of South-East Asian Nations (ASEAN) member states (AMS) are among the countries most at risk to the impacts of climate change on health and outbreaks being a major hotspot of emerging infectious diseases. OBJECTIVE: To map the current policies and programs on the climate change adaptation in the ASEAN health systems, with particular focus on policies related to infectious diseases control. METHODS: This is a scoping review following the Joanna Briggs Institute (JBI) methodology. Literature search will be conducted on the ASEAN Secretariat website, government websites, Google, and six research databases (PubMed, ScienceDirect, Web of Science, Embase, World Health Organization (WHO) Institutional Repository Information Sharing (IRIS), and Google Scholar). The article screening will be based on specified inclusion and exclusion criteria. Policy analysis will be conducted in accordance with the WHO operational framework on climate-resilient health systems. Findings will be analyzed in the form of narrative report. The reporting of this scoping review follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR). ETHICS AND DISSEMINATION: Ethical approval is not required for this study as this is a scoping review protocol. Findings from this study will be disseminated through electronic channels.
IMPORTANCE: Climate change, pollution, urbanization, socioeconomic inequality, and psychosocial effects of the COVID-19 pandemic have caused massive changes in environmental conditions that affect brain health during the life span, both on a population level as well as on the level of the individual. How these environmental factors influence the brain, behavior, and mental illness is not well known. OBSERVATIONS: A research strategy enabling population neuroscience to contribute to identify brain mechanisms underlying environment-related mental illness by leveraging innovative enrichment tools for data federation, geospatial observation, climate and pollution measures, digital health, and novel data integration techniques is described. This strategy can inform innovative treatments that target causal cognitive and molecular mechanisms of mental illness related to the environment. An example is presented of the environMENTAL Project that is leveraging federated cohort data of over 1.5 million European citizens and patients enriched with deep phenotyping data from large-scale behavioral neuroimaging cohorts to identify brain mechanisms related to environmental adversity underlying symptoms of depression, anxiety, stress, and substance misuse. CONCLUSIONS AND RELEVANCE: This research will lead to the development of objective biomarkers and evidence-based interventions that will significantly improve outcomes of environment-related mental illness.
Access to safe, clean and affordable water is a basic human right and a global goal towards which climate change poses new challenges that heavily impact the health and wellbeing of people across the globe and exacerbate or create new inequalities. These challenges are shaped by a number of geographical and social conditions that, apart from the risks of weather-driven impacts on water, include water governance and management arrangements in place, including pricing tariffs, and the interplay of social and economic inequalities. Building on examples from Australia, Scotland and England and Wales that illustrate access to water in different types of water provision systems, and regarding to aspects of access, quality and affordability, this paper explores the types of challenges related to water poverty in the context of climate crisis and reflects on the multiple dimensions of water poverty oriented social policy at the interplay of climate change associated risks.
Aquatic toxins are potent natural toxins produced by certain cyanobacteria and marine algae species during harmful cyanobacterial and algal blooms (CyanoHABs and HABs, respectively). These harmful bloom events and the toxins produced during these events are a human and environmental health concern worldwide, with occurrence, frequency and severity of CyanoHABs and HABs being predicted to keep increasing due to ongoing climate change scenarios. These contexts, as well as human health consequences of some toxins produced during bloom events have been thoroughly reviewed before. Conversely, the wider picture that includes the non-human biota in the assessment of noxious effects of toxins is much less covered in the literature and barely covered by review works. Despite direct human exposure to aquatic toxins and related deleterious effects being responsible for the majority of the public attention to the blooms’ problematic, it constitutes a very limited fraction of the real environmental risk posed by these toxins. The disruption of ecological and trophic interactions caused by these toxins in the aquatic biota building on deleterious effects they may induce in different species is paramount as a modulator of the overall magnitude of the environmental risk potentially involved, thus necessarily constraining the quality and efficiency of the management strategies that should be placed. In this way, this review aims at updating and consolidating current knowledge regarding the adverse effects of aquatic toxins, attempting to going beyond their main toxicity pathways in human and related models’ health, i.e., also focusing on ecologically relevant model organisms. For conciseness and considering the severity in terms of documented human health risks as a reference, we restricted the detailed revision work to neurotoxic cyanotoxins and marine toxins. This comprehensive revision of the systemic effects of aquatic neurotoxins provides a broad overview of the exposure and the hazard that these compounds pose to human and environmental health. Regulatory approaches they are given worldwide, as well as (eco)toxicity data available were hence thoroughly reviewed. Critical research gaps were identified particularly regarding (i) the toxic effects other than those typical of the recognized disease/disorder each toxin causes following acute exposure in humans and also in other biota; and (ii) alternative detection tools capable of being early-warning signals for aquatic toxins occurrence and therefore provide better human and environmental safety insurance. Future directions on aquatic toxins research are discussed in face of the existent knowledge, with particular emphasis on the much-needed development and implementation of effective alternative (eco)toxicological biomarkers for these toxins. The wide-spanning approach followed herein will hopefully stimulate future research more broadly addressing the environmental hazardous potential of aquatic toxins.
The impact of climate change on human health was identified as a priority for the UN COP26 conference. In this article, we consider climate-induced changes to mortality risks and how to incorporate these formally in the policy appraisal process. In the United Kingdom (UK), the Value of Statistical Life (VSL) is used to monetarize the benefits of policies to reduce mortality risks but it remains an open, empirical question as to whether the current VSL (£2.14 million per fatality prevented, December 2021 values) for traffic accidents should be applied in other contexts without any modification and particularly for extreme weather event fatalities. Using a representative sample of the UK population, we aim to estimate and better understand the trade-offs people make when comparing mortality risks, drawing on psychological insights from construal level and regulatory focus theories. We design a stated preference survey using a relative valuation framework with nonmonetary, risk-risk trade-off questions between extreme weather event and traffic accident mortality risks. We find evidence of an extreme weather event risk premium of 1.2-1.6 (implying a climate-related VSL of £2.52-£3.41 million). We also find that participants who are psychologically close to climate change (based on construal level theory), weigh reducing extreme weather event mortality risks almost two times that of reducing traffic accident mortality risks.
The accelerated production of greenhouse gases (GHG) due to human activity has led to unprecedented global warming, making climate mitigation strategies crucial for minimizing its impacts. South America, a region highly vulnerable to climate change, stands to benefit from implementing such strategies to reduce future risks and generate health co-benefits. This scoping review, aimed to assess the existing evidence on the health benefits of climate mitigation strategies in South American countries. PubMed, Web of Science, and LILACS databases were searched until June 15, 2023. Nine studies published between 2001 and 2021 were analyzed, focusing on Brazil, Chile, and Bolivia. All the studies identified in this review used scenario modeling. They evaluated various GHG emission mitigation strategies, including land management, reducing livestock production, biofuel production, increased active transportation, renewable energy, and waste reduction. Only one study looked at GHG capture and sequestration through afforestation. Given the limited information available, there is a pressing need for more research on the region’s potential health, environmental, and economic co-benefits. This review serves as a starting point and suggests that climate mitigation can offer a range of positive co-benefits, such as improved air quality and increased resilience to climate impacts, thereby advancing public health initiatives. FUNDING: MYG was supported by the Wellcome Trust (grant number 209734/Z/17/Z). The other authors did not receive financial support for their research or authorship. The publication of this article was financially supported by Universidad Peruana Cayetano Heredia.
Due to global warming and the energy crisis, incorporating passive radiative cooling into personal thermal management has attracted extensive attention. However, developing a wearable textile that reflects incoming sunlight and allows mid-infrared radiation transmission is still a tough challenge. Herein, a shish-kebab superstructure film was produced via a flow-induced crystallization strategy for personal radiative cooling. The resulting film endowed a high infrared transmittance (87%) and improved sunlight reflectivity (83%). A device was developed to simulate the human body skin, and the temperatures of the shish-kebab film were 2.5 and 2.6 °C lower than that of traditional textile in outdoor and indoor tests, respectively. In order to make the shish-kebab film more wearable, a series of modifications were then carried out. This study demonstrates the substantial potential to personal thermal management textiles.
The increasing frequency and severity of weather extremes caused by climate change evidence the need to assess buildings beyond their typical thermal and energy performance under normal operation. It is also essential to evaluate thermal resilience to safeguard occupants’ health during extreme events and power outages. This study proposes a simulation framework to evaluate and enhance the thermal resilience of buildings against indoor overheating using an integrated set of performance metrics. This work also addresses how to aggregate resilience profiles of single buildings into the urban scale, supporting the evaluation of thermally resilient communities. This is the first step to connecting building and urban scales in a resilience analysis, seeking to further address other stakeholders’ needs in the future. The application of the framework is exemplified through a case study considering three different climates in Brazil. This analysis allowed identifying cases with poor thermal resilience and essential dependence on air conditioning to guarantee the survivability of occupants during extreme hot weather. Nonetheless, by only changing the envelope’s thermal transmittance and thermal mass, buildings’ thermal autonomy increased up to 65% points and cooling loads were reduced by up to 61% in the hottest climate, Sa similar to o Luis. However, additional strategies are necessary to mitigate remaining indoor extreme thermal conditions, such as solar shading and increased air movement.
BACKGROUND: Urban areas are disproportionately affected by multiple pressures from overbuilding, traffic, air pollution, and heat waves that often interact and are interconnected in producing health effects. A new synthetic tool to summarize environmental and climatic vulnerability has been introduced for the city of Rome, Italy, to provide the basis for environmental and health policies. METHODS: From a literature overview and based on the availability of data, several macro-dimensions were identified on 1,461 grid cells with a width of 1 km(2) in Rome: land use, roads and traffic-related exposure, green space data, soil sealing, air pollution (PM(2.5), PM(10), NO(2), C(6)H(6), SO(2)), urban heat island intensity. The Geographically Weighted Principal Component Analysis (GWPCA) method was performed to produce a composite spatial indicator to describe and interpret each spatial feature by integrating all environmental dimensions. The method of natural breaks was used to define the risk classes. A bivariate map of environmental and social vulnerability was described. RESULTS: The first three components explained most of the variation in the data structure with an average of 78.2% of the total percentage of variance (PTV) explained by the GWPCA, with air pollution and soil sealing contributing most in the first component; green space in the second component; road and traffic density and SO(2) in the third component. 56% of the population lives in areas with high or very high levels of environmental and climatic vulnerability, showing a periphery-centre trend, inverse to the deprivation index. CONCLUSIONS: A new environmental and climatic vulnerability indicator for the city of Rome was able to identify the areas and population at risk in the city, and can be integrated with other vulnerability dimensions, such as social deprivation, providing the basis for risk stratification of the population and for the design of policies to address environmental, climatic and social injustice.
Urban thermal comforts are increasingly holding people’s attention due to global warming and urban heat islands. Urban parks can absorb sunlight radiation, which reduces air temperature, improving urban microclimates. Various factors in the park are confirmed to be effective in heat mitigation. However, there are few studies on thermal comfort in urban mountain parks, and mountain areas might cause peculiar climatic conditions owing to their particular landforms. To fill this gap in the research, this study explored thermal comfort in mountain parks and the environmental factors that would affect thermal comfort. A field measurement in the summertime (July & August) of 2018, it was found that trees, the river, and the area of parks could adjust the thermal comforts of mountain parks. Their effects varied throughout the day, and the impacts of trees were most pronounced at noon and late afternoon, while the influence of rivers and park areas was most pronounced at noon. Increasing the leaf area index by 1 point could result in decreases in physiological equivalent temperature, land surface temperature, and solar radiation level by 3.90 °C, 2.69 °C, and 270.10 W/m(2), respectively. The findings have practical implications for future urban mountain park design works.
Vulnerable groups such as children and the elderly are the focus of emergency medical rescue during urban pluvial floods. Taking the Erqi District of Zhengzhou City as an example, the SCS-CN model and Chicago rainfall model are used to simulate pluvial flooding based on the comprehensive consideration of urban rainfall, runoff, topography, and drainage. Additionally, the accessibility of emergency medical aid for kindergartens and nursing homes is evaluated in the Erqi District of Zhengzhou under different pluvial flooding scenarios using GIS network analysis technology. The results showed that the number of kindergartens and nursing homes without timely access to emergency medical rescue increased with the increase in precipitation return periods. Under the 500-year and 1000-year pluvial flooding scenarios, kindergartens and nursing homes that can obtain emergency medical rescue had delayed response times. Furthermore, with the increase in the precipitation return periods, both the number and delay time of kindergartens and nursing homes significantly increased. The accessibility and delay time of emergency medical rescue in kindergartens and nursing homes were determined by the intensity of pluvial flooding (including inundation area and depth), road traffic conditions, and the number and location of medical institutions, nursing homes, and kindergartens. The research results can provide a scientific basis for improving the refinement level of urban flood disaster management and emergency response services.
Climate Change (CC) imposes important global health risks, including on mental health (MH). They are related mostly to psychological suffering caused by climate-related events and to the heat-vulnerability caused by psychiatric disorders. This growing burden may press MH services worldwide, increasing demand on public and private systems in low-, middle-, and high-income countries. According to PRISMA, two independent reviewers searched four databases for papers published before May 2022 that associated climate-related events with healthcare demand for psychiatric conditions. Of the 7432 papers retrieved, we included 105. Only 29 were carried out in low- and middle-income countries. Twelve related the admission numbers to (i) extreme events, while 93 to (ii) meteorological factors-mostly heat. Emergency visits and hospitalizations were significantly higher during hot periods for MH disorders, especially until lag 5-7. Extreme events also caused more consultations. Suicide (completed or attempted), substance misuse, schizophrenia, mood, organic and neurotic disorders, and mortality were strongly affected by CC. This high healthcare demand is evidence of the burden patients may undergo. In addition, public and private services may face a shortage of financial and human resources. Finally, the increased use of healthcare facilities, in turn, intensifies greenhouse gas emissions, representing a self-enforcing cycle for CC. Further research is needed to better clarify how extreme events affect MH services and, in addition, if services in low- and middle-income countries are more intensely demanded by CC, as compared to richer countries.
Cold exposure has been considered an essential risk factor for the global disease burden, while its role in cardiovascular diseases is still underappreciated. The increase in frequency and duration of extreme cold weather events like cold spells makes it an urgent task to evaluate the effects of ambient cold on different types of cardiovascular disease and to understand the factors contributing to the population’s vulnerability. METHODS: In the present systematic review and meta-analysis, we searched PubMed, Scopus, and Cochrane. We included original research that explored the association between cold exposure (low temperature and cold spell) and cardiovascular disease outcomes (mortality and morbidity). We did a random-effects meta-analysis to pool the relative risk (RR) of the association between a 1°C decrease in temperature or cold spells and cardiovascular disease outcomes. RESULTS: In total, we included 159 studies in the meta-analysis. As a result, every 1°C decrease in temperature increased cardiovascular disease-related mortality by 1.6% (RR 1.016; [95% CI 1.015-1.018]) and morbidity by 1.2% (RR 1.012; [95% CI 1.010-1.014]). The most pronounced effects of low temperatures were observed in the mortality of coronary heart disease (RR 1.015; [95% CI 1.011-1.019]) and the morbidity of aortic aneurysm and dissection (RR 1.026; [95% CI 1.021-1.031]), while the effects were not significant in hypertensive disease outcomes. Notably, we identified climate zone, country income level and age as crucial influential factors in the impact of ambient cold exposure on cardiovascular disease. Moreover, the impact of cold spells on cardiovascular disease outcomes is significant, which increased mortality by 32.4% (RR 1.324; [95% CI 1.2341.421]) and morbidity by 13.8% (RR 1.138; [95% CI 1.015-1.276]). CONCLUSION: Cold exposure could be a critical risk factor for cardiovascular diseases, and the cold effect varies between disease types and climate zones. SYSTEMATIC REVIEW REGISTRATION: https://www.crd.york.ac.uk/PROSPERO, identifier: CRD42022347247.
Dengue is among the fastest-spreading vector-borne infectious disease, with outbreaks often overwhelm the health system and result in huge morbidity and mortality in its endemic populations in the absence of an efficient warning system. A large number of prediction models are currently in use globally. As such, this study aimed to systematically review the published literature that used quantitative models to predict dengue outbreaks and provide insights about the current practices. A systematic search was undertaken, using the Ovid MEDLINE, EMBASE, Scopus and Web of Science databases for published citations, without time or geographical restrictions. Study selection, data extraction and management process were devised in accordance with the ‘Checklist for Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies’ (‘CHARMS’) framework. A total of 99 models were included in the review from 64 studies. Most models sourced climate (94.7%) and climate change (77.8%) data from agency reports and only 59.6% of the models adjusted for reporting time lag. All included models used climate predictors; 70.7% of them were built with only climate factors. Climate factors were used in combination with climate change factors (13.4%), both climate change and demographic factors (3.1%), vector factors (6.3%), and demographic factors (5.2%). Machine learning techniques were used for 39.4% of the models. Of these, random forest (15.4%), neural networks (23.1%) and ensemble models (10.3%) were notable. Among the statistical (60.6%) models, linear regression (18.3%), Poisson regression (18.3%), generalized additive models (16.7%) and time series/autoregressive models (26.7%) were notable. Around 20.2% of the models reported no validation at all and only 5.2% reported external validation. The reporting of methodology and model performance measures were inadequate in many of the existing prediction models. This review collates plausible predictors and methodological approaches, which will contribute to robust modelling in diverse settings and populations.
INTRODUCTION/OBJECTIVE: West Nile virus (WNV) is one of the most widely distributed flaviviruses worldwide. It is considered an endemic and emerging pathogen in different areas of the Europe and Mediterranean countries (MR). Mosquitoes of the genus Culex spp. are the main vectors, and birds its main vertebrate hosts. It can occasionally infect mammals, including humans. Different environmental factors can influence its distribution and transmission through its effects on vector or host populations. Our objective was to determine environmental factors associated with changes in vector distribution and WNV transmission in Europe and MR. MATERIAL & METHODS: Systematic peer review of articles published between 2000 and 2020. We selected studies on WNV, and its vectors carried out in Europe and MR. The search included terms referring to climatic and environmental factors. RESULTS: We included 65 studies, of which 21 (32%) were conducted in Italy. Culex spp. was studied in 26 papers (40%), humans in 19 papers (29%) and host animals (mainly horses) in 16 papers (25%), whereas bird reservoirs were addressed in 5 studies (8%). A significant positive relationship was observed between changes in temperature and precipitation patterns and the epidemiology of WNV, although contrasting results were found among studies. Other factors positively related to WNV dynamics were the normalized difference vegetation index (NDVI] and expansion of anthropized habitats. CONCLUSION: The epidemiology of WNV seems to be related to climatic factors that are changing globally due to ongoing climate change. Unfortunately, the complete zoonotic cycle was not analyzed in most papers, making it difficult to determine the independent impact of environment on the different components of the transmission cycle. Given the current expansion and endemicity of WNV in the area, it is important to adopt holistic approaches to understand WNV epidemiology and to improve WNV surveillance and control.
BACKGROUND: Aedes (Stegomyia)-borne diseases are an expanding global threat, but gaps in surveillance make comprehensive and comparable risk assessments challenging. Geostatistical models combine data from multiple locations and use links with environmental and socioeconomic factors to make predictive risk maps. Here we systematically review past approaches to map risk for different Aedes-borne arboviruses from local to global scales, identifying differences and similarities in the data types, covariates, and modelling approaches used. METHODS: We searched on-line databases for predictive risk mapping studies for dengue, Zika, chikungunya, and yellow fever with no geographical or date restrictions. We included studies that needed to parameterise or fit their model to real-world epidemiological data and make predictions to new spatial locations of some measure of population-level risk of viral transmission (e.g. incidence, occurrence, suitability, etc.). RESULTS: We found a growing number of arbovirus risk mapping studies across all endemic regions and arboviral diseases, with a total of 176 papers published 2002-2022 with the largest increases shortly following major epidemics. Three dominant use cases emerged: (i) global maps to identify limits of transmission, estimate burden and assess impacts of future global change, (ii) regional models used to predict the spread of major epidemics between countries and (iii) national and sub-national models that use local datasets to better understand transmission dynamics to improve outbreak detection and response. Temperature and rainfall were the most popular choice of covariates (included in 50% and 40% of studies respectively) but variables such as human mobility are increasingly being included. Surprisingly, few studies (22%, 31/144) robustly tested combinations of covariates from different domains (e.g. climatic, sociodemographic, ecological, etc.) and only 49% of studies assessed predictive performance via out-of-sample validation procedures. CONCLUSIONS: Here we show that approaches to map risk for different arboviruses have diversified in response to changing use cases, epidemiology and data availability. We identify key differences in mapping approaches between different arboviral diseases, discuss future research needs and outline specific recommendations for future arbovirus mapping.
Failure of governments across the world to address climate change has fuelled social movements focused on climate-related policy and action. Research analysing these movements has focused mainly on the types of strategies employed including blockades and occupations, marches and petitions, divestment, boycotts and litigation as well as how groups are framing climate change as a problem. What has been largely missed are the ways these groups are framing the change they want to see, that is their demands to governments. Not all demands and actions have the same potential to create the changes needed to mitigate climate change. Used in public health and health promotion, the systems science Intervention Level Framework (ILF) is a tool that can help analyse to what extent different demands have the leverage to create change in a system. We use the ILF to analyse 131 demands from 35 different climate-related advocacy groups in Australia. Results show demands are more focused on lower system leverage points, such as stopping particular projects, rather than on more impactful leverage points, such as the governance structures that determine climate-related policy and decision-making mechanisms. Further, the results highlight the lack of attention on public health related topics of transport and food systems. This paper shows how a systems science framework used in health promotion, the ILF, could enable climate advocacy groups to more effectively target demands to achieve more impactful outcomes from governments, corporations and the public.
BACKGROUND: In recent years, the state of Mato Grosso has presented one of the highest dengue incidence rates in Brazil. The meeting of the Amazon, Cerrado and Pantanal biomes results in a large variation of rainfall and temperature across different regions of the state. In addition, Mato Grosso has been undergoing intense urban growth since the 1970s, mainly due to the colonization of the Mid-North and North regions. We analyzed factors involved in dengue incidence in Mato Grosso from 2008 to 2019. METHODS: The Moran Global Index was used to assess spatial autocorrelation of dengue incidence using explanatory variables such as temperature, precipitation, deforestation, population density and municipal development index. Areas at risk of dengue were grouped by the Local Moran Indicator. RESULTS: We noticed that areas at risk of dengue expanded from the Mid-North region to the North; the same pattern occurred from the Southeast to the Northeast; the South region remained at low-risk levels. The increase in incidence was influenced by precipitation, deforestation and the municipal development index. CONCLUSIONS: The identification of risk areas for dengue in space and time enables public health authorities to focus their control and prevention efforts, reducing infestation and the potential impact of dengue in the human population.
Ongoing and future climate change driven expansion of aeroallergen-producing plant species comprise a major human health problem across Europe and elsewhere. There is an urgent need to produce accurate, temporally dynamic maps at the continental level, especially in the context of climate uncertainty. This study aimed to restore missing daily ragweed pollen data sets for Europe, to produce phenological maps of ragweed pollen, resulting in the most complete and detailed high-resolution ragweed pollen concentration maps to date. To achieve this, we have developed two statistical procedures, a Gaussian method (GM) and deep learning (DL) for restoring missing daily ragweed pollen data sets, based on the plant’s reproductive and growth (phenological, pollen production and frost-related) characteristics. DL model performances were consistently better for estimating seasonal pollen integrals than those of the GM approach. These are the first published modelled maps using altitude correction and flowering phenology to recover missing pollen information. We created a web page (http://euragweedpollen.gmf.u-szeged.hu/), including daily ragweed pollen concentration data sets of the stations examined and their restored daily data, allowing one to upload newly measured or recovered daily data. Generation of these maps provides a means to track pollen impacts in the context of climatic shifts, identify geographical regions with high pollen exposure, determine areas of future vulnerability, apply spatially-explicit mitigation measures and prioritize management interventions.
Hot extremes may adversely impact human health and agricultural production. Owing to anthropogenic and climate changes, the close and dynamic interaction between drought and hot extremes in most areas of China need to be revisited from the perspective of nonstationarity. This study therefore proposes a time-varying Copulabased model to describe the nonstationary dependence structure of summer extreme temperature (SET) and antecedent soil moisture condition to quantify the dynamic risk of hot extremes conditioned on dry/wet condition. A general statistical inspection procedure which was composed of maximum likelihood (ML)-based estimation, nonstationary Goodness-of-fit (GOF) tests, the log likelihood ratio (LR) tests and minimum corrected Akaike information criterion-based selection was promoted to select the best-fitted nonstationary models efficiently. This study proposed a new approach to identify the soil moisture driving law over extreme temperature from the point view of tail monotonicity and nonstationary risk assessment. Owing to the LTI-RTD (left tail increasing and right tail decreasing) tail monotonicity for dependence structure of these two extremes derived from most areas, two kinds of the driving laws of soil moisture over SET were detected. Because of the spatiotemporal divergence of sensitivity index derived from tail monotonicity (SITM), we can conclude that the spatial and temporal heterogeneity of response degree of ET over the variations of antecedent dry/wet conditions is evident. Incorporation of nonstationarity and tail monotonicity helps identify the changes of driving mechanism (laws) between soil moisture and hot extremes.
Currently, West-Nile virus (WNV) is spreading worldwide to colder regions due to climate change. Human mortality and morbidity are prevalent and steadily increasing, associated with costs to public health systems. Therefore, the question of the impact of scientific engagement arises. What trends, barriers, and incentives for research related to global burdens are important in this context? To answer these questions, this study provides detailed insights into the publication patterns of WNV research and interprets them using several parameters, such as absolute and relative publication indices and socioeconomic and epidemiological characteristics. It is shown that national interests combined with regional outbreaks significantly influence publication intensity. Thus, a correlation between national publication volume and the number of WNV cases was observed. In contrast to most life science topics, the scientific interest in WNV significantly decreased after 2006. The USA, as the main actor in WNV research, is at the centre of international networking. Recently, European countries are also getting involved according to their new-emerging outbreaks. The results demonstrate national interest in research activities with a lack of globally focused approaches that are urgently needed to better understand and assess the distribution and characteristics of WNV.
Worldwide, mosquito monitoring and control programs consume large amounts of resources in the effort to minimise mosquito-borne disease incidence. On-site larval monitoring is highly effective but time consuming. A number of mechanistic models of mosquito development have been developed to reduce the reliance on larval monitoring, but none for Ross River virus, the most commonly occurring mosquito-borne disease in Australia. This research modifies existing mechanistic models for malaria vectors and applies it to a wetland field site in Southwest, Western Australia. Environmental monitoring data were applied to an enzyme kinetic model of larval mosquito development to simulate timing of adult emergence and relative population abundance of three mosquito vectors of the Ross River virus for the period of 2018-2020. The model results were compared with field measured adult mosquitoes trapped using carbon dioxide light traps. The model showed different patterns of emergence for the three mosquito species, capturing inter-seasonal and inter-year variation, and correlated well with field adult trapping data. The model provides a useful tool to investigate the effects of different weather and environmental variables on larval and adult mosquito development and can be used to investigate the possible effects of changes to short-term and long-term sea level and climate changes.
INTRODUCTION: Environmental Health in a Global World at New York University was re-designed as a class participatory effort, challenging undergraduate students to understand environmental hazards and the resultant adverse health outcomes by embracing the inherent complexity of environmental risks and proposing solutions. METHODS: Following introductory lectures, students are placed into teams and assigned a specific perspective, or avatar, which includes learning to see the challenge from the perspective of a technical expert such as a biologist, an engineer, or an anthropologist. The teams then design specific systems maps to visualize the complex interactions that lead to adverse health outcomes after a given environmental exposure. The maps highlight potential leverage points where relatively minor interventions can provide a disproportionate benefit in health outcomes. The teams then explore potential interventions and identify the potential unintended consequences of those actions, develop and advocate for innovative new strategies to mitigate risk and improve outcomes. RESULTS AND DISCUSSION: Over the past 5 years, we have taught this methodology to over 680 students with strong, student-oriented results. The teams created and presented more than 100 strategies, addressing a diverse set of environmental challenges that include water contamination, gun violence, air pollution, environmental justice, health security, and climate change. Developing the strategies helped the students understand environmental threats in a more holistic way, provided them with some agency in finding solutions, and offered an opportunity for them to improve their presentation skills. The responses in course evaluations have been enthusiastic, with many students reporting a deep impact on their college experience.
Children are a particularly vulnerable group in disaster situations, yet they are often overlooked in disaster management planning. To address this issue, a multilevel and multidimensional children resilience (MCR) framework is proposed in this study to assess the resilience of children in disaster situations. The framework takes into account four stages and five dimensions of resilience, which represent the layered reality and layered protection experienced by children. The study was conducted in four neighborhoods within the provincial capital of Peshawar, Pakistan. The selected areas exhibited distinctive urban and rural characteristics and were frequently exposed to natural hazards such as floods and earthquakes. The study employed a household questionnaire survey, targeting children as primary respondents. The proposed framework was validated by constructing the Multidimensional Children Disaster (MCR) Resilience Index. The results of the study demonstrate significant variations among all five dimensions of resilience. The proposed framework provides detailed and interactive perspectives on children’s disaster resilience, emphasizing that disaster resilience is an integrated approach, which requires an integrated and holistic investigation. The proposed framework and methodology are replicable and can be used to quantify children’s resilience and identify specific dimensions that can be enhanced through appropriate disaster risk reduction strategies.
Most studies projecting human survivability limits to extreme heat with climate change use a 35 °C wet-bulb temperature (T(w)) threshold without integrating variations in human physiology. This study applies physiological and biophysical principles for young and older adults, in sun or shade, to improve current estimates of survivability and introduce liveability (maximum safe, sustained activity) under current and future climates. Our physiology-based survival limits show a vast underestimation of risks by the 35 °C T(w) model in hot-dry conditions. Updated survivability limits correspond to T(w)~25.8-34.1 °C (young) and ~21.9-33.7 °C (old)-0.9-13.1 °C lower than T(w) = 35 °C. For older female adults, estimates are ~7.2-13.1 °C lower than 35 °C in dry conditions. Liveability declines with sun exposure and humidity, yet most dramatically with age (2.5-3.0 METs lower for older adults). Reductions in safe activity for younger and older adults between the present and future indicate a stronger impact from aging than warming.
Significant heat-related casualties underlie the urgency of establishing a heat-health warning system (HHWS). This paper presents an evidence-based pilot HHWS developed for Taipei City, Taiwan, through a co-design process engaging stakeholders. In the co-design process, policy concerns related to biometeorology, epidemiology and public health, and risk communication aspects were identified, with knowledge gaps being filled by subsequent findings. The biometeorological results revealed that Taipei residents were exposed to wet-bulb globe temperature (WBGT) levels of health concern for at least 100 days in 2016. The hot spots and periods identified using WBGT would be missed out if using temperature, underlining the importance of adopting an appropriate heat indicator. Significant increases in heat-related emergency were found in Taipei at WBGT exceeding 36°C with reference-adjusted risk ratio (RaRR) of 2.42, taking 30°C as the reference; and residents aged 0-14 had the highest risk enhancement (RaRR = 7.70). As for risk communication, occurring frequency was evaluated to avoid too frequent warnings, which would numb the public and exhaust resources. After integrating knowledge and reconciling the different preferences and perspectives, the pilot HHWS was co-implemented in 2018 by the science team and Taipei City officials; accompanying responsive measures were formulated for execution by ten city government departments/offices. The results of this pilot served as a useful reference for establishing a nationwide heat-alert app in 2021/2022. The lessons learnt during the interactive co-design processes provide valuable insights for establishing HHWSs worldwide.
The discharge of pathogens into urban recreational water bodies during combined sewer overflows (CSOs) pose a potential threat for public health which may increase in the future due to climate change. Improved methods are needed for predicting the impact of these effects on the microbiological urban river water quality and infection risks during recreational use. The aim of this study was to develop a novel probabilistic-deterministic modelling approach for this purpose building on physically plausible generated future rainfall time series. The approach consists of disaggregation and validation of daily precipitation time series from 21 regional climate models for a reference period (1971-2000, C20), a near-term future period (2021-2050, NTF) and a long-term future period (2071-2100, LTF) into sub-daily scale, and predicting the concentrations of enterococci and Giardia and Cryptosporidium, and infection risks during recreational use in the river downstream of the sewage emissions from CSOs. The approach was tested for an urban river catchment in Austria which is used for recreational activities (i.e. swimming, playing, wading, hand-to-mouth contact). According to a worst-case scenario (i.e. children bathing in the river), the 95th percentile infection risks for Giardia and Cryptosporidium range from 0.08 % in winter to 8 % per person and exposure event in summer for C20. The infection risk increase in the future is up to 0.8 log(10) for individual scenarios. The results imply that measures to prevent CSOs may be needed to ensure sustainable water safety. The approach is promising for predicting the effect of climate change on urban water safety requirements and for supporting the selection of sustainable mitigation measures. Future studies should focus on reducing the uncertainty of the predictions at local scale.
BACKGROUND: Australian rural and regional communities are marked by geographic isolation and increasingly frequent and severe natural disasters such as drought, bushfires and floods. These circumstances strain the mental health of their inhabitants and jeopardise the healthy mental and emotional development of their adolescent populations. Professional mental health care in these communities is often inconsistent and un-coordinated. While substantial research has examined the barriers of young people’s mental health and help-seeking behaviours in these communities, there is a lack of research exploring what adolescents in rural and regional areas view as facilitators to their mental health and to seeking help when it is needed. This study aims to establish an in-depth understanding of those young people’s experiences and needs regarding mental health, what facilitates their help-seeking, and what kind of mental health education and support they want and find useful. METHOD: We conducted a qualitative study in 11 drought-affected rural and regional communities of New South Wales, Australia. Seventeen semi-structured (14 group; 3 individual) interviews were held with 42 year 9 and 10 high school students, 14 high school staff, and 2 parents, exploring participants’ experiences of how geographical isolation and natural disasters impacted their mental health. We further examined participants’ understandings and needs regarding locally available mental health support resources and their views and experiences regarding mental illness, stigma and help-seeking. RESULTS: Thematic analysis highlighted that, through the lens of participants, young people’s mental health and help-seeking needs would best be enabled by a well-coordinated multi-pronged community approach consisting of mental health education and support services that are locally available, free of charge, engaging, and empowering. Participants also highlighted the need to integrate young people’s existing mental health supporters such as teachers, parents and school counselling services into such a community approach, recognising their strengths, limitations and own education and support needs. CONCLUSIONS: We propose a three-dimensional Engagement, Empowerment, Integration model to strengthen young people’s mental health development which comprises: 1) maximising young people’s emotional investment (engagement); 2) developing young people’s mental health self-management skills (empowerment); and, 3) integrating mental health education and support programs into existing community and school structures and resources (integration).
Low-income countries are struggling with the health impacts of both surface and groundwater chemical contamination. Although the impact of biological contaminants on children’s health is acknowledged, the long-term effects of these and emerging contaminants on young children may be underestimated. To map the existing evidence on health impacts of water contaminated with chemicals on young children (<5 years), we conducted a scoping review to select and organize relevant literature. Of the 98 studies in the review, 24 revealed that the hazard ratio of arsenic, nitrates, cadmium, and fluoride (all of which are on the World Health Organisation's list of 10 chemicals of public health concern) was higher in very young children than in older age groups. Anthropogenic activities (textile manufacturing, waste disposal, and intensified agriculture) are leading contributors to the release of chemicals to groundwater used for drinking. Three major pathways for chemical contamination exposure in young children were confirmed: maternal transmission during pregnancy and breastfeeding, and early school years. Children exhibited acute and chronic disruptions to their neurological, skeletal, reproductive, and endocrine systems, as well as cumulative carcinogenic risks, amongst other life-altering consequences. The lack of research on emerging contaminants' effects on young children in low-income countries is worrisome, as their increased use may compound the issues caused by the existing problem of "legacy chemicals." Precautionary principle should regulate the operation of industries producing these chemicals in a robust manner. Evidence from major producers and exporters in high-income countries is sufficient to warrant action, even without waiting for direct harm to be observed in low-income countries. Literature recommends prioritising prevention of contamination over demand side treatment or finding alternative water sources, especially in water-scarce areas affected by climate change. Local and transnational efforts are required to enforce safer industry practices and prevent further water quality deterioration in low-income countries.
Healthy Environments And Lives (HEAL) is the Australian national research network established to support improvements to health, the Australian health system, and the environment in response to the unfolding climate crisis. The HEAL Network comprises researchers, community members and organisations, policymakers, practitioners, service providers, and other stakeholders from diverse backgrounds and sectors. HEAL seeks to protect and improve public health, reduce health inequities and inequalities, and strengthen health system sustainability and resilience in the face of environmental and climate change, all with a commitment to building on the strengths, knowledge, wisdom, and experience of Aboriginal and Torres Strait Islander people, culture, and communities. Supporting applied research that can inform policy and practice, and effective research translation, implementation, and impact are important goals across the HEAL Network and essential to achieve its intended outcomes. To aid translation approaches, a research translation, implementation, and impact strategy for the HEAL Network was developed. The strategy has been created to inform and guide research translation across HEAL, emphasising communication, trust, partnerships, and co-design with communities and community organisations as well as the decision-makers responsible for public policies and programs. Development of the strategy was guided by research translation theory and practice and the Health in All Policies and Environment in All Policies frameworks. As described in this paper, the strategy is underpinned by a set of principles and outlines preliminary actions which will be further expanded over the course of the HEAL Network’s activities. Through these actions, the HEAL Network is well-positioned to ensure successful research translation and implementation across its program of work.
People experiencing homeless have greater vulnerabilities in relation to climate change that require a range of policy and systems approaches. There are two interrelated areas that policymakers can consider in relation to climate change and homelessness: migration and exposure. This synthesis of the available data and expert opinion provides practical information to policymakers, with specific strategies alongside case examples. The data captured here is through systematic reviews, and expert opinion is generated through input from a year-long series of five virtual think tanks. Throughout this synthesis paper, an emphasis is placed on explicitly addressing homeless populations in the policies and plans designed to address climate change-related impacts. Prevention-oriented plans are shown to be more effective in terms of outcomes and cost-effectiveness compared to the more commonly deployed crisis response models. Another key issue considered is the availability of relevant data with which to target policy responses and evaluate outcomes. Data-driven responses tend to be more successful, though relevant data are, to date, lacking for homeless and other marginalized populations. Moreover, effective policy design in this area needs to be intersectional and inclusive, tailored to the needs of local communities and developed in consultation with lived experience stakeholders, including service providers. Policies that ignore local input tend to fail. Prevention-oriented, culturally-situated, and trauma-informed systems and services hold the greatest promise in responding to the severe health risks and inequities that homeless populations face in the climate crisis.Key policy insightsPrevention-oriented measures are key, with most focussing on the availability of affordable housing and upgrading housing and living conditions of vulnerable populations.There is a need to include lived experience and input from local communities, especially when designing measures that will impact livelihoods, such as planned migration.Disaster, crisis response, and aftercare plans need to outline explicit measures for homeless populations.There is a need for cross-sectoral alignment of policy and intervention responses.Successful approaches tend to be culturally-situated and trauma-informed.
This review paper examines the drinking water quality issues in remote and Indigenous communities, with a specific emphasis on Australia. Access to clean and safe drinking water is vital for the well-being of Indigenous communities worldwide, yet numerous challenges hinder their ability to obtain and maintain water security. This review focuses on the drinking water-related issues faced by Indigenous populations in countries such as the United States, Canada, New Zealand, and Australia. In the Australian context, remote and Indigenous communities encounter complex challenges related to water quality, including microbial and chemical contamination, exacerbated by climate change effects. Analysis of water quality trends in Queensland, New South Wales, Western Australia, and the Northern Territory reveals concerns regarding various pollutants with very high concentrations in the source water leading to levels exceeding recommended drinking water limits such as hardness, turbidity, fluoride, iron, and manganese levels after limited treatment facilities available in these communities. Inadequate water quality and quantity contribute to adverse health effects, particularly among Indigenous populations who may resort to sugary beverages. Addressing these challenges requires comprehensive approaches encompassing testing, funding, governance, appropriate and sustainable treatment technologies, and cultural considerations. Collaborative efforts, risk-based approaches, and improved infrastructure are essential to ensure equitable access to clean and safe drinking water for remote and Indigenous communities, ultimately improving health outcomes and promoting social equity.
Large-scale climate indicators (LSCI) refer to the intricate connections between the atmosphere, oceans, and continents in specific regions. To comprehend the relationship between these vital indicators and atmospheric and climate variability, it is crucial to explore them in detail. The objective of the present study is to gather and review relevant research on LSCI in the Mediterranean area to gain a better understanding of their impacts on atmospheric variability, climate, air quality, ecosystems, and health in the region. Numerous studies have explored LSCI and their effects in the study area, and our work aims to contribute to the existing literature in this context. Our study concludes that LSCI are linked to spatial atmospheric variability in the Mediterranean region. They influence the spatial and temporal distribution of climate and environmental variability, including temperature, rainfall, extreme events, cyclones and storms, and air pollution. Some studies have demonstrated the effects of LSCI on ecosystems, such as forests and river basins in the region. However, research on their impacts on human health is limited. Additionally, the application of LSCI involves various formulations and explanations of their potential developments, primarily explaining atmospheric complex systems and the effort required to comprehend their implications for the environment and health. This review highlights recent progress made in defining, formulating, and calculating LSCI in the Mediterranean area. The most critical functions and characteristics of LSCI are also discussed. Understanding LSCI and their applications is the first step towards developing a health warning system, starting with monitoring atmospheric dynamics and culminating in managing human health responses.
Urban outdoor space is an important activity place for residents, and its thermal environment directly affects residents’ quality of life and physical and mental health. Due to global climate change and the acceleration of urbanization, the outdoor thermal comfort of urban residents has seriously declined, causing more and more scholars to pay attention to this problem and to carry out research. This paper summarizes the development history and evaluation principles of outdoor thermal comfort evaluation indices and sorts out the methods for achieving outdoor thermal comfort. This paper reviews the effects of urban climate, local microclimate, physiological, psychological, social, and cultural factors on outdoor thermal comfort. In addition, strategies for improving thermal comfort in urban outdoor spaces are discussed from the aspects of urban geometry, vegetation, surface materials, and water bodies. Finally, the existing problems and development directions of current urban outdoor space thermal comfort studies are pointed out. This review paper can provide a reference for the scientific planning and construction of urban outdoor spaces to improve people’s thermal comfort.
Future scenarios of a changing climate are not only an integral part of climate research, but they are also part of media coverage on climate change. Such reporting affects how people imagine the future to be, as well as their current and intended behaviors. Hence, this article made use of a quantitative, manual content analysis with qualitative and automated approaches for sample construction, to analyze the framing of climate futures in journalistic media across four countries (Germany, India, South Africa, and the United States; n = 1 010). Four frames were identified: “Solutions to climatic and social consequences”, “Distant threats to humanity”, “Economic opportunities”, and “Distant threats to ecosystems” – these frames describe different climate futures, with only a few differences between Global North and Global South countries. Implications for climate change communication will be discussed.
Alzheimer’s disease and related dementias (ADRD) represent a public health crisis poised to worsen in a changing climate. Substantial dementia burden is modifiable, attributable to risk rooted in social and environmental conditions. Climate change threatens older populations in numerous ways, but implications for cognitive aging are poorly understood. We illuminate key mechanisms by which climate change will shape incidence and lived experiences of ADRD, and propose a framework for strengthening research, clinical, and policy actions around cognitive health in the context of climate change. Direct impacts and indirect risk pathways operating through built, social, interpersonal, and biomedical systems are highlighted. Air pollution compromises brain health directly and via systemic cardiovascular and respiratory ailments. Flooding and extreme temperatures constrain health behaviors like physical activity and sleep. Medical care resulting from climate-related health shocks imposes economic and emotional tolls on people living with dementia and caregivers. Throughout, inequitable distributions of climate-exacerbated risks and adaptive resources compound existing disparities in ADRD incidence, comorbidities, and care burden. Translational research, including work prioritizing underserved communities, is crucial. A mechanistic framework can guide research questions and methods and identify clinical- and policy-level intervention loci for prevention and mitigation of climate-related impacts on ADRD risk and burden.
Against the background of the climate crisis, there is an urgent need to include environmental sustainability recommendations in clinical practice guidelines. We highlight five domains for which suitable recommendations could help in mitigating the environmental impact of urology practice. PATIENT SUMMARY: Climate change is an urgent issue that requires global action. Guidelines published by urological societies should include recommendations for minimizing the impact of urology practice on the environment.
In Australia the impacts of climate change are resulting in considerable water scarcity, a scenario affecting the green and blue spaces that provide well-recognized individual health benefits. However, far less is known about the social health benefits of these spaces, particularly for those residing in rural Australian river communities. In this geographic context, water issues are compounded by a dominant culture that privileges the commodification of water for agricultural purposes over other interests. Using an environmental justice perspective consistent with a green social work approach, this proof-of-concept study contributes a critical element to water debates by examining the cultural, recreational, and environmental meanings of water for the rural river community of Mildura. Results from an online mixed-methods questionnaire (N = 33) show that people privileged cultural meanings of water as fundamental to life, were concerned for river health, and felt marginalized in water debates. Findings suggest that understanding communities’ hydrosocial relationships is key to environmentally and socially just water management and to individual, community, and environmental health. Social work can contribute to such environmental issues by working collaboratively to enable communities to exercise their voices and to advocate to decision makers to include consideration of environmental, social, and cultural impact.
While chemicals are vital to modern society through materials, agriculture, textiles, new technology, medicines, and consumer goods, their use is not without risks. Unfortunately, our resources seem inadequate to address the breadth of chemical challenges to the environment and human health. Therefore, it is important we use our intelligence and knowledge wisely to prepare for what lies ahead. The present study used a Delphi-style approach to horizon-scan future chemical threats that need to be considered in the setting of chemicals and environmental policy, which involved a multidisciplinary, multisectoral, and multinational panel of 25 scientists and practitioners (mainly from the United Kingdom, Europe, and other industrialized nations) in a three-stage process. Fifteen issues were shortlisted (from a nominated list of 48), considered by the panel to hold global relevance. The issues span from the need for new chemical manufacturing (including transitioning to non-fossil-fuel feedstocks); challenges from novel materials, food imports, landfills, and tire wear; and opportunities from artificial intelligence, greater data transparency, and the weight-of-evidence approach. The 15 issues can be divided into three classes: new perspectives on historic but insufficiently appreciated chemicals/issues, new or relatively new products and their associated industries, and thinking through approaches we can use to meet these challenges. Chemicals are one threat among many that influence the environment and human health, and interlinkages with wider issues such as climate change and how we mitigate these were clear in this exercise. The horizon scan highlights the value of thinking broadly and consulting widely, considering systems approaches to ensure that interventions appreciate synergies and avoid harmful trade-offs in other areas. We recommend further collaboration between researchers, industry, regulators, and policymakers to perform horizon scanning to inform policymaking, to develop our ability to meet these challenges, and especially to extend the approach to consider also concerns from countries with developing economies. Environ Toxicol Chem 2023;42:1212-1228. © 2023 Crown copyright and The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC. This article is published with the permission of the Controller of HMSO and the King’s Printer for Scotland.
Arctic food systems are increasingly challenged by rapid climate change, loss of food security and subsequent weakening of food sovereignty, and destabilization of Indigenous practices. Despite growing scientific knowledge on Arctic food systems, Indigenous communities continue to struggle with a plethora of sustainability challenges. To develop a systemic understanding of these challenges, we performed a systematic review of 526 articles published between 1998 and 2021 on Arctic Indigenous food systems. We used the leverage points framework to structure our analysis to understand to what extent the existing Western scientific body of literature provides the necessary knowledge to understand the food system characteristics that give rise to the current sustainability challenges. We combined deductive qualitative and inductive quantitative approaches to identify gaps in the systemic understanding of Arctic Indigenous food systems. We characterized existing research across the four levels of systemic depth-parameters, feedbacks, design, intent-and identified promising directions for future research. Our analyses show that research on food systems is clustered within six main domains, we term environmental contaminants, diet and health, food security, food culture and economy, changing socio-ecological systems and marine and coast. Based on our analysis, we identify three directions for future research that we believe to be of particular importance to enable sustainability transformations of Arctic Indigenous food systems: (i) the decolonization of research practices, (ii) acknowledging the significance of systemic interdependencies across shallow and deep leverage points, and (iii) transdisciplinary action-oriented research collaborations directing transformative system interventions.
This paper aims to develop a Life Cycle Assessment-based methodology to assess and compare the potential burden shifting between indoor air quality and energy consumption, as well as between the building construction and use stages, focusing on three insulation materials. We model the complete cause-to-effect chain to determine the mass of substances initially encapsulated inside the construction materials emitted into the indoor and outdoor compartment and further human intake, as well as the energy consumption needed for use stage heating.We found that human health damage due to indoor exposure is dominant over outdoor exposure for all insulation materials, except extruded polystyrene due to the off-gassing of tetrafluoroethane which has a high global warming potential. From a material life cycle perspective, the damage related to indoor emissions during the use stage is substantial for polyurethane foam, due to formaldehyde for both inner and outer insulations and also to Tris (1-chloro-2-propyl) phosphate for outer insulation, while restricted for polystyrene. Total damages on human health depend on building materials production, their emissions during use stage, and impacts related to energy load. They are minimized with a 20-25 cm outer insulation combined with a heat exchanger to ensure sufficient air quality while maximizing solar gain and minimizing air renewal-related heat losses.This methodology is valuable in addressing the trade-off between energy and exposure to materials-related emissions during building use stage, as a function of insulation thickness and air renewal rate, and paves the way to optimize the design of more sustainable buildings.
To explore the frequency and effect of extreme temperature on the non-accidental death rate in Hulunbuir, a Chinese ice city.MethodsFrom 2014 to 2018, mortality data of residents residing in Hulunbuir City were collected. The lag and cumulative effects of extreme temperature conditions on non-accidental death and respiratory and circulatory diseases were analyzed by distributed lag non-linear models (DLNM).ResultsThe risk of death was the highest during high-temperature conditions, the RR value was 1.111 (95% CI 1.031 similar to 1.198). The effect was severe and acute. The risk of death during extreme low-temperature conditions peaked on the fifth day, (RR 1.057; 95% CI 1.012 similar to 1.112), then decreased and was maintained for 12 days. The cumulative RR value was 1.289 (95% CI 1.045 similar to 1.589). Heat significantly influenced the incidence of non-accidental death in both men (RR 1.187; 95% CI 1.059-1.331) and women (RR 1.252; 95% CI 1.085-1.445).ConclusionsRegardless of the temperature effect, the risk of death in the elderly group (>= 65 years) was significantly higher than that of the young group (0-64 years). High-temperature and low-temperature conditions can contribute to the increased number of deaths in Hulunbei. While high-temperature has an acute effect, low-temperature has a lagging effect. Elderly and women, as well as people with circulatory diseases, are more sensitive to extreme temperatures.
Numerous studies have examined the effects of climate change on many aspects of both human health and violence. Fewer studies have investigated the links between climate change and intimate partner violence (IPV). We expand on this literature by examining the association between climate variability and IPV, including physical, sexual, and psychological forms of violence. We examine both direct associations and potential mediation via water insecurity, in a sample of women from 15 sub-Saharan African countries. Our results suggest there is a direct effect of climate variability on IPV but also that this effect is mediated through water insecurity. These results contribute to the literature by highlighting pathways through which climate change may affect IPV, including water insecurity, and changes in soil moisture and precipitation. Our findings are important for policy makers and international development organizations as they indicate specific areas where improvements to water insecurity can help reduce the incidence of IPV globally.
Vibrio species are waterborne ubiquitous organisms capable of causing diseases in humans and animals and the occurrence of infections caused by pathogenic Vibrio species among humans have increased globally. This reemergence is attributed to environmental impacts such as global warming and pollution. Africa is most vulnerable to waterborne infections caused by these pathogens because of lack of good water stewardship and management. This study was carried out to provide an in-depth inquiry into the occurrence of pathogenic Vibrio species in water sources and wastewater across Africa. In this regard, a systematic review and meta-analysis was conducted by searching five databases: PubMed, ScienceDirect, Google Scholar, Springer Search and African Journals Online (AJOL). The search yielded 70 articles on pathogenic Vibrio species presence in African aquatic environments that fit our inclusion criteria. Based on the random effects model, the pooled prevalence of pathogenic Vibrio species in various water sources in Africa was 37.6 % (95 % CI: 27.7-48.0). Eighteen countries were represented by the systematically assessed studies and their nationwide prevalence in descending order was: Nigeria (79.82 %), Egypt (47.5 %), Tanzania (45.8 %), Morocco (44.8), South Africa (40.6 %), Uganda (32.1 %), Cameroon (24.5 %), Burkina Faso (18.9 %) and Ghana (5.9 %). Furthermore, 8 pathogenic Vibrio species were identified across water bodies in Africa with the highest detection for V. cholerae (59.5 %), followed by V. parahaemolyticus (10.4 %), V.alginolyticus (9.8 %), V. vulnificus (8.5 %), V. fluvialis (6.6 %), V. mimicus (4.6 %), V. harveyi (0.5 %) and V. metschnikovii (0.1 %). Evidently, pathogenic Vibrio species occurrence in these water sources especially freshwater corroborates the continuous outbreaks observed in Africa. Therefore, there is an urgent need for proactive measures and continuous monitoring of water sources used for various purposes across Africa and proper treatment of wastewater before discharge into water bodies.
With climate change and the recurring heat waves in arid lands, human well-being and activities in oasis set-tlements can be critical subjects for the ongoing years. This paper introduces a methodological approach to investigate the potential passive cooling effect inside the oasis palm groves, their spatial characteristics, and microclimatic thresholds. Based on the Physiological Equivalent Temperature (PET) index, the paper evaluates oasis palm groves’ ability to ensure a neutral human outdoor thermal comfort zone. The research aims to determine guidance of an optimal and nearly optimal thermal comfort threshold based on a series of parametric scenarios of oasis configurations. The study provides a cross of 12 ideal oasis scenarios. The paper evaluates the oasis cooling effect and thermal comfort and recommends aligning urban planning with thermal thresholds. Results reveal that PET neutral zone can be assured into ranges of 29 degrees C to 37 degrees C, 19 degrees C to 20 degrees C, 55% to 58%, and 1m/s to 2m/s of mean radiant temperature, air temperature, relative humidity and air velocity, respectively. The results refer policymakers and urban planners to invest in the passive cooling effect of the oasis palm grove in future urban design strategies to maintain the maximum neutral comfort hours during heat waves.
Healthcare decision-makers are becoming increasingly aware that climate change poses significant threats to population health and continued delivery of quality care. Challengingly, responding to climate change requires complex, often expensive, and multi-faceted actions to limit new emissions from worsening climate trajectories, while investing in climate-resilient systems. We present a Climate Resilience Maturity Matrix that brings together both mitigation and adaptation actions into a high-level tool for health leaders, for supporting organizational review, assessment, and decision-making for climate change readiness. This tool is designed to (i) support leaders in Canadian health facilities and regional health authorities in designing mitigation and adaptation roadmaps, (ii) support decision-making for climate change-related strategic planning processes, and (iii) create a high-level overview of organizational readiness. This tool is intended to consolidate key data, provide a clear communication tool, allow for objective rapid baselining, enable system-level gap analysis, facilitate comparability/transparency, and support rapid learning cycles.
Water quality safety has attracted global attention and is closely related to the development of the social economy and human health. It is widely recognized that climate change and human activities significantly affect water quality changes. Therefore, quantifying the contributions of factors that drive long-term water quality changes is crucial for effective water quality management. Here, we built a climate-water quality assessment framework (CWQAF) based on climate-water quality response coefficients and trend analysis methods, to achieve this goal. Our results showed that the water quality improved significantly by 4.45%-20.54% from 2011 to 2020 in the Minjiang River basin (MRB). Human activities (including the construction of ecological projects, stricter discharge measures, etc.) were the main driving factors contributing 65%-77% of the improvement effect. Notably, there were differences in the contributions of human activities to water quality parameter changes, such as DO (increase (I): 0.12 mg/L, human contribution (HC): 66.8%), COD(Mn) (decrease (D): 0.71 mg/L, HC: 67.2%), BOD(5) (D: 1.10 mg/L, HC: 77.7%), COD(Cr) (D: 4.20 mg/L, HC: 81.2%), TP (D: 0.13 mg/L,HC: 72.8%) and NH(3)-N (D: 0.40 mg/L, HC: 63.0%). Climate change explained 23%-35% of the variation in water quality. The water quality response to climate change was relatively significant with precipitation. For example, the downstream region was more susceptible to climate change than was the upstream region, as the downstream movement of precipitation centers strengthened the process of climatic factors affecting water quality changes in the MRB. Generally, although human activities were the main driving factor of water quality changes at the basin scale, the contribution of climate change could not be ignored. This study provided a manageable framework for the quantitative analysis of the influence of human activities and climate change on water quality to enable more precise and effective water quality management.
Leptospirosis is a worldwide zoonotic waterborne disease endemic in tropical and subtropical climates. Outbreaks have been observed in the Northern Territory (NT) of Australia. We briefly described the epidemiology of leptospirosis in the NT between 2012 and 2022, and undertook an investigation of a cluster of three leptospirosis cases observed in crocodile workers between January and December 2022 in the Top End of the NT. A descriptive case series was conducted to investigate the cluster; all three cases were male and non-Aboriginal with a median age of 46.5 years; none took chemoprophylaxis; only one of the three cases reported wearing appropriate protective attire; all reported receiving limited to no education about personal protective measures from their associated workplaces. Higher than average rainfall in both February and December 2022 likely contributed to the increased risk of infection in those months. Changing climate patterns are likely to result in more frequent periods of heavy rain, and risk of contracting leptospirosis in the NT may increase, particularly for those who work in wet and muddy conditions. Promoting the use of protective workplace clothing and equipment, the use of waterproof dressings for skin abrasions, regular hand hygiene, and the consideration of chemoprophylaxis in certain circumstances may prevent future cases.
During the austral winter (June-August) of 2021, the meteorological services of Brazil, Argentina, Peru, Paraguay, Bolivia, and Chile all issued forecasts for unusually cold conditions. Record-low minimum temperatures and cold spells were documented, including one strong cold wave episode that affected 5 countries. In this study, we define a cold wave as a period in which daily maximum and minimum air temperatures are below the corresponding climatological 10th percentile for three or more consecutive days. The intense cold wave event in the last week of June, 2021, resulted in record-breaking minimum daily temperatures in several places in central South America and Chile. Several locations had temperatures about 10 °C below average, central South America had freezing conditions, and southern Brazil even saw snow. The cold air surge was characterized by an intense upper-air trough located close to 35° S and 70° W. The southerly flow to the west of this trough brought very cold air northward into subtropical and tropical South America. A northward flow between the lower-level cyclonic and anticyclonic perturbations caused the intense southerly flow between the upper-level ridge and trough. This condition facilitated the inflow of near-surface cold air from southern Argentina into southeastern Brazil and tropical South America east of the Andes. In the city of São Paulo, the cold wave caused the death of 13 homeless people from hypothermia. Frost and snow across southern and southeastern Brazil caused significant damage to coffee, sugarcane, oranges, grapes, and other fruit and vegetable crops. Wine and coffee production fell, the latter by 30%, and prices of food and commodities in the region rose. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00382-023-06701-1.
This study examined and compared the factor structure of DSM-5 and ICD-11 PTSD models and their relationships with transdiagnostic symptoms (i.e., anxiety, depression, negative affect, and somatic symptoms) in eight trauma samples: (1) natural disaster relocatees; (2) Typhoon Haiyan survivors; (3) indigenous people exposed to armed conflict; (4) internally displaced persons due to armed conflict; (5) soldiers regularly involved in armed conflict; (6) police exposed to work-related traumatic events; (7) abused women; and (8) college students with diverse trauma experiences. Results showed that while the ICD-11 PTSD has better model fit than that of DSM-5, the DSM-5 PTSD model has stronger relationships with all transdiagnostic symptoms in almost all of the samples. The study highlights that in choosing which PTSD nomenclature to use, both the factor structure and comorbidity with other symptoms must be considered.
Our aim was to compare the ambient temperature thresholds for warm thermal discomfort, thermal unacceptability, and preference for cooler environment between post- and pre-menopausal women at different metabolic rates. A total of 38 women (15 pre-menopausal (46 +/- 5 years); 23 post-menopausal (55 +/- 3 years)), completed up to 3 experimental trials at different metabolic rates (1.2 MET, 1.8 MET, 2.5 MET) generated by intermittent stepping throughout an air temperature ramp protocol. Ambient air temperature thresholds for warm thermal discomfort (thermal sensation rating of +1.5), warm thermal unacceptability, and a preference for a cooler environment, were determined. Skin temperature at 12 points was measured throughout. While a higher metabolic rate yielded a lower air temperature threshold for warm thermal discomfort (P < 0.001), there was no difference (P = 0.61) between pre-menopausal (28.7 +/- 2.3 degrees C) and post-menopausal (28.5 +/- 2.4 degrees C) women, irrespective of metabolic rate. The threshold of thermal unacceptability and the temperature at which a preference to be cooler was expressed were decreased by 1 degrees C, regardless of metabolic rate in post-menopausal women (P = 0.021; P = 0.049). Mean body T-sk at the thresholds for warm thermal discomfort, thermal unacceptability, and preference for cooler temperature (all P > 0.05) did not differ between pre-menopausal and postmenopausal women. However, the forehead T-sk thresholds for thermal unacceptability (pre-menopausal: 34.5 +/- 1.1 degrees C; post-menopausal: 33.9 +/- 1.2 degrees C; P = 0.005) and preference for cooler temperature (pre-menopausal: 34.2 +/- 1.2 degrees C; post-menopausal: 33.7 +/- 1.3 degrees C; P = 0.025) were lower in post-menopausal women. These data indicate that while the temperature threshold for warm thermal discomfort is unaltered by menopause status, post-menopausal women report an environment to be unacceptably warm, and express a preference for a cooler temperature, at a lower ambient and forehead skin temperature.
The aim of this study is to evaluate and compare the human-biometeorological conditions at two resorts in Ukraine: a coastal resort located at Odesa in southern Ukraine and an inland resort situated by the lake at Svityaz situated in northwest Ukraine. The results of this study can facilitate the assessment of the tourist potentials of both locations by the tourism industry, tour operators, and tourists. The evaluation is based on an analysis of the Physiologically Equivalent Temperature (PET) and parameters presented through the Climate-Tourism/Transfer-Information Scheme (CTIS) for the period 1991-2020. The CTIS data reveal that better conditions in terms of thermal comfort can be found during the warm period from May to September at both sites. The results show that the highest frequency of all grades of heat stress are observed in the last 10-day period of July and in the first 10-day period of August at both stations, but at Odesa, the frequency of heat stress of any grade is approximately 10% higher than at Svityaz. The frequency of moderate, strong and extreme heat stress during the daytime in July and in the first two 10-day periods of August at Odesa ranged from 51.3% to 66.5%, and at Svityaz it ranged between 40.2 and 54.6%. Human-biometeorological conditions during heat waves are more strenuous at Odesa. The frequency of days with extreme heat stress at 12 UTC during summer heat waves is 48.4% at Odesa and 35.6% at Svityaz. The results show a higher frequency of thermal stress at Odesa, which makes this resort less comfortable for people vulnerable to heat stress.
PURPOSE: To investigate the effects of humidity and temperature on dry eye disease (DED). METHODS: A retrospective, clinic-based study was conducted on DED patients undergoing dry eye treatment. Patients were followed up at least twice, and symptoms and signs were evaluated using the Symptoms Assessment Questionnaire in Dry Eye (SANDE) score, tear secretion, tear film breakup time (TBUT), ocular staining score, and tear osmolarity. Mean humidity and temperature values for 1 week before ocular examinations were used as the environmental exposure level. The relationship between humidity and temperature, with DED clinical parameters was analyzed in single- and multi-environmental factor models. RESULTS: The study included 33 patients with a mean age of 53.9 ± 12.2 years. The low humidity group showed significantly higher SANDE scores (p = 0.023) and tear osmolarity (p = 0.008), and the low temperature group had higher SANDE scores (p = 0.004), ocular staining scores (p = 0.036), and tear osmolarity (p < 0.001). In the linear mixed model, single factor analysis showed that an increase in humidity resulted in decreased SANDE scores (p = 0.043), and an increase in temperature led to a decrease in SANDE score (p = 0.007), ocular staining score (p = 0.007), and tear osmolarity (p = 0.012). In the multifactor analysis, changes in humidity had no significant effect on dry eye parameters, but an increase in temperature was significantly correlated with decreased SANDE score (p = 0.026), ocular staining score (p = 0.024), and tear osmolarity (p = 0.002). CONCLUSIONS: Lower temperature led to aggravated symptoms and signs of DED and the effect of temperature on DED was more pronounced than humidity. Tear osmolarity was the most sensitive clinical parameter to be affected by climate factors in DED patients.
In the 21st century, climate change, which is predominantly caused by human activities, has emerged as a major global concern. This paper examines in depth the profound and multifarious effects of climate change on ecosystems and the ecosystem services they provide. It further investigates the complex connections between climate change and ecosystems, focusing on terrestrial, aquatic, and marine habitats. Notably, we emphasize the unique challenges confronting ecosystems in Southeast Asia, a region of ecological significance where the ocean economy is fundamental to human livelihoods. Climate change threatens ecosystem services in numerous ways, including the provision of food and water, climate regulation, nutrient cycling, and cultural importance. We emphasize the potential transformation of ecosystems from carbon sinks to carbon sources, which has implications for climate control. Moreover, changes in disease vectors and altered landscapes raise concerns for human health and cultural traditions. We emphasize the importance of international cooperation, as exemplified by the Paris Agreement, in mitigating climate change collectively. In addition, we advocate for the inclusion of indigenous communities and traditional ecological knowledge in conservation and restoration initiatives. This paper concludes by emphasizing the profound interdependence between ecosystems and human well-being and the urgency of taking action.
INTRODUCTION: High workplace/ambient temperatures have been associated with Adverse Pregnancy Outcomes (APO). Millions of women working in developing nations suffer due to the rising temperatures caused by climate change. There are few pieces of research linking occupational heat stress to APO, and fresh evidence is required. METHODOLOGY: We used databases including PubMed, Google Scholar, and Science Direct to search for research on high ambient/workplace temperatures and their effects. Original articles, newsletters, and book chapters were examined. The literature we analysed was categorised as follows: Heat, strain, and physical activity harming both mother and fetus. After categorising the literature, it was examined to identify the major results. RESULTS: We found a definite association between heat stress and APOs such as miscarriages, premature birth, stillbirth, low birthweight, and congenital abnormalities in 23 research articles. Our work provides important information for future research into the biological mechanisms that create APOs and various prevention measures. CONCLUSION: Our data suggest that temperature has long-term and short-term effects on maternal and fetal health. Though small in number, this study stressed the need for bigger cohort studies in tropical developing countries to create evidence for coordinated policies to safeguard pregnant women.
Climate adaptation measures are critical for protecting human health. National Adaptation Plans (NAPs), Nationally Determined Contributions (NDCs), and National Communications (NCs) play a crucial role in helping countries identify, analyze, and address their vulnerabilities to climate change impacts, while also assessing available resources and capacities. This study aimed to assess the comprehensiveness of South American countries’ NAPs, NDCs, and NCs in addressing the effects of climate change on health. A total of 38 NAPs, NDCs, and NCs of 12 South American countries were analysed. Ad hoc scores were developed to assess baseline information, adaptation proposals, identification of involved institutions, funding needs and allocation, measurable progress indicators, and coherence. Overall, all South American countries have NDCs and NCs, and seven have NAPs. In most countries, the intersectoral health analysis revealed a lack of linkage to health issues related to that sector. Additionally, most planning documents lack detailed information to guide policymakers in taking practical actions; areas with low scores include allocation of funds, involvement of health-related institutions, and measurable indicators. While South American countries acknowledge the health impacts of climate change in their plans, enhancing public health protection requires maximizing climate policy benefits and including health-related issues across all relevant sectors. FUNDING: This study was not funded. However, three co-authors received funding for some of their time: AV and KC were supported by the Wellcome Trust (209734/Z/17/Z); RCN was funded by K01AI139284 (NIH-NIAID). Funding for the publication was provided by Universidad Peruana Cayetano Heredia.
RATIONALE: Extremes of temperature and humidity are associated with adverse respiratory symptoms, reduced lung function, and increased exacerbations among individuals living with chronic obstructive pulmonary disease (COPD). OBJECTIVES: To describe the reported effects of temperature and humidity extremes on the health outcomes, health status and physical activity (PA) in individuals living with COPD. METHODS: A cross-sectional self-reported survey collected the effects on health status (COPD Assessment Test [CAT]), PA, and health outcomes in 1) moderate/ideal (14 to 21°C, 30 to 50% relative humidity [RH]), 2) hot and humid (≥ 25°C, > 50% RH) and 3) cold and dry (≤ 5°C, < 30% RH) weather conditions. Participants were ≥ 40 years old with COPD or related chronic respiratory diseases (e.g., asthma, sleep apnea, interstitial lung disease, lung cancer) and residing in Canada for ≥ 1 year. Negative responders to weather extremes were a priori defined as having a change of ≥ 2 points in the CAT. MAIN RESULTS: Thirty-six participants responded; the mean age (SD) was 65 (11) years, and 23 (64%) were females. Compared to ideal conditions, 23 (66%) and 24 (69%) were negatively affected by cold/dry and hot/humid weather, respectively. Health status was significantly lower, and PA amount and difficulty level were reduced in hot/humid and cold/dry conditions compared with ideal conditions. The number of exacerbations in hot/humid was significantly higher compared to ideal conditions. CONCLUSIONS: More participants were negatively affected by extremes of weather: health status worsened, PA decreased, and frequency of exacerbations was higher compared to ideal. Future prospective studies should directly and objectively investigate different combinations of extreme temperature and humidity levels on symptoms and PA to understand their long-term health outcomes.
Mosquito-borne diseases have been spreading across Europe over the past two decades, with climate change contributing to this spread. Temperature and precipitation are key factors in a mosquito’s life cycle, and are greatly affected by climate change. Using a machine learning framework, Earth Observation data, and future climate projections of temperature and precipitation, this work studies three different cases (Veneto region in Italy, Upper Rhine Valley in Germany and Pancevo, Serbia) and focuses on (i) evaluating the impact of climate factors on mosquito abundance and (ii) long-term forecasting of mosquito abundance based on EURO-CORDEX future climate projections under different Representative Concentration Pathways (RCPs) scenarios. The study shows that increases in precipitation and temperature are directly linked to increased mosquito abundance, with temperature being the main driving factor. Additionally, as the climatic conditions become more extreme, meaning higher variance, the mosquito abundance increases. Moreover, we show that in the upcoming decades mosquito abundance is expected to increase. In the worst-case scenario (RCP8.5) Serbia will face a 10% increase, Italy around a 40% increase, and Germany will reach almost a 200% increase by 2100, relative to the decade 2010-2020. However, in terms of absolute numbers both in Italy and Germany, the expected increase is similar. An interesting finding is that either strong (RCP2.6) or moderate mitigation actions (RCP4.5) against greenhouse gas concentration lead to similar levels of future mosquito abundance, as opposed to no mitigation action at all (RCP8.5), which is projected to lead to high mosquito abundance for all cases studied.
Prolonged heat exposure may cause various physiological responses to outdoor workers. This will result in economic and productivity losses for a company and also may affect the sustainable development speed of cities. To avoid the above adverse effects, an alerting system is designed for outdoor workers to prevent them from overtime working in high-temperature scenarios. In the system, multiple sensors embedded micro-electromechanical system (MEMS) wearable device is used for real-time working status data collection, and a hybrid deep learning model is adopted to recognise the working status of outdoor workers. This hybrid model, called C-LSTM, combines the advantages of convolutional neural networks (CNN) and long short-term memory networks (LSTM) to extract useful spatial and temporal features of working status efficiently. Experimental results show that the performance on the inference time and accuracy of the C-LSTM model is better than that of conventional ones. The working status recognition accuracy of the C-LSTM model reaches 97.91%, and the inference time of the model reduces to less than 51 ms. In addition, the C-LSTM model has the best stability. The designed system can not only be used in outdoor high-temperature environment but also applied to medical and industrial scenarios, which further extends the application fields.
Heatstroke is a heat stress-induced, life-threatening condition associated with circulatory failure and multiple organ dysfunctions. If global warming continues, heatstroke might become a more prominent cause of mortality worldwide, but its pathogenic mechanism is not well understood. We found that Z-DNA binding protein 1 (ZBP1), a Z-nucleic acid receptor, mediated heatstroke by triggering receptor-interacting protein kinase 3 (RIPK3)-dependent cell death. Heat stress increased the expression of ZBP1 through heat shock transcription factor 1 (HSF1) and activated ZBP1 through a mechanism independent of the nucleic acid sensing action. Deletion of ZBP1, RIPK3, or both mixed lineage kinase domain-like (MLKL) and caspase-8 decreased heat stress-induced circulatory failure, organ injury, and lethality. Thus, ZBP1 appears to have a second function that orchestrates host responses to heat stress.
Naegleria fowleri and Balamuthia mandrillaris are opportunistic protists, responsible for fatal central nervous system infections such as primary amoebic meningoencephalitis (PAM) and granulomatous amoebic encephalitis (GAE) with mortality rates higher than 90%. Threatening a rise in cases is the increase in temperature due to global warming. No effective treatment is currently available. Herein, nanotechnology was used to conjugate Zinc oxide with Ampicillin, Ceftrixon, Naringin, Amphotericin B, and Quericitin, and the amoebicidal activity and host cell cytotoxicity of these resulting compounds were investigated. The compounds ZnO-CD-AMPi, ZnO-CD-CFT, ZnO-CD-Nar, ZnO-CD-AMB, and ZnO-CD-QT were found to reduce N. fowleri viability to 35.5%, 39.6%, 52.0%, 50.8%, 35.9%, and 69.9%, respectively, and B. mandrillaris viability to 40.9%, 48.2%, 51.6%, 43.8%, and 62.4%, respectively, when compared with their corresponding controls. Furthermore, the compounds reduced N. fowleri-mediated and B. mandrillaris-mediated host cell death significantly. Additionally, the compounds showed limited cytotoxicity against human cells; cell toxicity was 35.5%, 36.4%, 30.9%, 36.6%, and 35.6%, respectively, for the compounds ZnO-CD-AMPi, ZnO-CD-CFT, ZnO-CD-Nar, ZnO-CD-AMB, and ZnO-CD-QT. Furthermore, the minimum inhibitory concentrations to inhibit amoeba growth by 50% were determined for N. fowleri and B. mandrillaris. The MIC(50) for N. fowleri were determined to be 69.52 µg/mL, 82.05 µg/mL, 88.16 µg/mL, 95.61 µg/mL, and 85.69 µg/mL, respectively; the MIC(50) of the compounds for B. mandrillaris were determined to be 113.9 µg/mL, 102.3 µg/mL, 106.9 µg/mL, 146.4 µg/mL, and 129.6 µg/mL, respectively. Translational research to further develop therapies based on these compounds is urgently warranted, given the lack of effective therapies currently available against these devastating infections.
BACKGROUND: It remains unclear how human and animal displacement impacts zoonotic disease risk with little contextualized primary data available. This study investigates zoonotic disease dynamics in populations regularly displaced due to slow onset disasters and annual monsoons in the Indus Delta in Sindh province in southeast Pakistan. METHODS: Using a case study methodology, semi-structured key informant interviews and focus group discussions with 35 participants, as well as observational studies were conducted in seven communities in Thatta district. RESULTS: Key factors affecting zoonotic disease dynamics in environmental displacement in Thatta identified in the study include disasters and loss of forage, a lack of veterinary and healthcare access, and socio-economic status. Animal and human health are an important consideration in displacement disrupting communities and livelihoods, affecting safety, health, and food security. Displacement results in a poverty spiral whereby the displaced find themselves at continuous peril from poverty and disaster, with zoonotic disease dynamics shifting based on environmental changes, and an expectation of future movement and loss. CONCLUSION: The precarious conditions generated through the disruption of communities and livelihoods makes environmentally displaced populations vulnerable to zoonotic disease. To prevent further displacement and disease, broader political economy issues need to be addressed, and comprehensive assistance provided to support sustainable livelihoods.
BACKGROUND: Natural disasters are becoming more frequent and severe and profoundly impact the end-of-life care experience, including service provision. There is a paucity of research examining healthcare workers’ experiences in responding to care demands when disasters strike. This research aimed to fill this gap by exploring end-of-life care providers’ perceptions of the impact of natural disasters on end-of-life care. METHODS: Between Feb 2021-June 2021 ten in-depth semi-structured interviews were conducted with healthcare professionals providing end-of-life care during recent natural disasters, COVID-19, and/or fires and floods. Interviews were audio-recorded, transcribed, and analysed using a hybrid inductive and deductive thematic approach. RESULTS: The overarching theme from the healthcare workers’ accounts was of being unable to provide effective compassionate and quality care – “I can’t make all this work.” They spoke of the considerable burdens the system imposed on them, of being overextended and overwhelmed, having their roles overturned, and losing the human element of care for those at end-of-life. CONCLUSION: There is urgent need to pioneer effective solutions to minimise the distress of healthcare professionals in delivering end-of-life care in disaster contexts, and to improve the experience of those dying.
Contributing to the emerging field of critical sleep studies, and developing an intervention situated at the intersection of the environmental and the medical humanities, this article considers a range of contemporary texts: Jenny Offill’s realist novel Weather (2020), Karen Russell’s Sleep Donation (2014), Cherie Dimaline’s The Marrow Thieves (2017) and Hunting by Stars (2021) – three examples of the ‘sleep-apocalypse’ genre – Finegan Kruckemeyer’s play Hibernation (2021), and the Perfect Sleep app by Tega Brain and Sam Lavigne (2021). I show how these texts do not just simply reflect the negative effects that climate change has on sleep health, which are manifold, as scientific research evidences. Rather, cultural production arguably draws attention to structural parallels between the climate crisis and the so-called sleep crisis, namely, contemporary society’s presumed widespread sleep deprivation and rise in sleep disorders. Both crises are the product of a capitalist system geared towards continuous extraction – and exhaustion – of resources, from the Earth and human bodies. Thus, in the texts considered, sleep is explored, on the one hand, as a casualty of the climate crisis and, on the other hand, as something whose value we need to reassess as part of our ongoing work to avert climate collapse.
OBJECTIVES: The health impacts of climate change are increasing, but qualitative evidence on people’s perceptions is limited. This qualitative study investigated people’s perceptions of climate change and its impacts on health. STUDY DESIGN: This was an online study using semistructured interviews. METHODS: A total of 41 semistructured interviews were conducted in 2021 with members of the public aged ≥15 years living in England, recruited via community-based groups. Data were analysed using reflexive thematic analysis. RESULTS: Participants were concerned about climate change, which was often perceived as extreme weather events happening elsewhere. Changes in the UK’s seasons and weather patterns were noted, but participants were uncertain whether these changes resulted from climate change. Participants often struggled to identify health impacts of climate change; where health impacts were described, they tended to be linked to extreme weather events outside the United Kingdom and their associated threats to life. The mental health impacts of such events were also noted. CONCLUSIONS: The study found that most participants did not perceive climate change to be affecting people’s health in England. This raises questions about whether framing climate change as a health issue, an approach advocated for countries less exposed to the direct effects of climate change, will increase its salience for the British public.
The emotional significance of climate change for young people is becoming recognised. However, their experiences of talking about these feelings are not well understood, despite being acknowledged as an important avenue for support and social change. This article reports on a survey of 1,943 young people aged 15-19 years living in Australia. The survey examined their level of concern about climate change, the feelings they associate with climate change, whom they talk to about these feelings, under what conditions, and with what effects. Respondents reported a high level of concern about climate change, most associated with feelings of worry, powerlessness, and frustration. Friends were most trusted to share these feelings with, followed by parents/ guardians and then teachers. The most important predictor of young people talking about their climate feelings was whether they felt listened to. Respondents were more likely to feel comfortable having climate conversations with younger or same-aged people and associated these conversations with hope. In contrast, climate conversations with older people were most often associated with betrayal, uncertainty, and worry. Through open-ended responses, the young people surveyed called for further respect and consideration of their views, opportunities to drive action and lead climate conversations, and a need for shared understanding of the issues at stake. Our findings highlight opportunities for those who care about and interact with young people to help them come to terms with the challenges of living in a changing climate through listening and creating safe spaces for what can be difficult discussions.
A large area including the central-northern part of Argentina, southern Bolivia, central Chile, and most of Paraguay and Uruguay, experienced record-breaking temperatures during two consecutive heatwaves in late November and early December 2022. During the second heatwave, nine locations in northern Argentina registered their highest maximum temperature of December since at least 1961. Our analysis based on observational and reanalysis datasets indicate that South America, like the rest of the world, has experienced heatwaves increasingly frequently in recent years. The December 2022 heatwave has an estimated return time of 1 in 20 years in the current climate, meaning it has about a 5% chance of happening each year. To estimate how human-caused climate change has influenced the likelihood and intensity of the observed heatwave, we combined climate models with the observation-based data. We found that human-caused climate change made the event about 60 times more likely. A heatwave with a return period of 20 years would be about 1.4 & DEG;C less hot in a world without anthropogenic global warming. Heatwaves this early in the summer season pose a substantial risk to human health and are potentially lethal. This risk is aggravated by climate change, but also by other factors such as an aging population, urbanisation and the built environment, and individual behavior and susceptibility to the heat. This highlights the importance of attribution studies in a region already threatened and vulnerable to climate change.
Background: Heat waves caused by climate change are increasingly challenging the wellbeing of individuals across the lifespan. Current efforts to understand the thermal perceptions and behaviours of people throughout the lifespan during heat waves are limited. Methods: Since June 2021, the Active Heatwave project has been recruiting households to better understand how individuals perceive, cope, and behave during heat waves. Using our novel web platform, participants were prompted to answer our Heat Alert Survey on days when a participants geolocation corresponded to a broadcasted local heat alert. Participants provided 24-h movement behaviour, thirst, thermal perception, and cooling strategies via validated questionnaires. Results: A total of 285 participants (118 children) from 60 distinct weather station locations globally participated between June and September 2021 and 2022. At least 1 heat alert (834 total) were identified from 95% (57/60) of the weather stations. Children reported spending more time performing vigorous intensity exercise compared to adults (p < 0.05), but no differences in thermal sensation, thermal comfort, or thirst sensation (all p > 0.31) were observed. For thirst management, 88% of respondents used water to relieve thirst, although notably, 15% of adults reported using alcohol. Regardless of age, staying indoors was the most common heat management strategy, whereas visiting cooling centres was the least. Conclusion: The present study presents a proof-of-concept combining local heat alert notifications with e-questionnaires for collecting near-real-time perceptual and behavioural data for both children and adults during heat waves. The observed patterns of behaviour suggest that present public heat-health guidelines are often ignored, children engage in fewer heat management strategies compared to adults, and these disparities highlight the need to improve public health communication and knowledge dissemination around promoting effective and accessible cooling solutions for children and adults.
In this study, the human thermal stress was quantified across Central Africa (C.A.) using the Universal Thermal Climate Index (UTCI). Although many of the documented studies on the use of UTCI in relation to human health are currently restricted to countries in the northern hemisphere, this contribution constitutes a prerequisite of information for future research in the region. To mitigate the problem of lack of field data in the Central African sub-region, we downloaded UTCI data via the ERA5 reanalysis portal. Based on this data source, we have explored the spatiotemporal characteristics and the resulting behaviour at annual, seasonal and monthly scales in Central Africa over the period 1982 to 2022. On these different scales, 4 of the 10 UTCI thermal stress categories were experienced, ranging from mild cold stress to strong heat stress. Spatially, cases of moderate heat stress were the most widespread, with cases of strong intensity occurring in a few isolated areas in the centre, east and west. Slight cold stress is confined to the south-east domain, particularly in autumn and winter. From 1982 to 2022, heat stress has increased significantly in the region, with peaks observed in January and October; very few areas have been spared the phenomenon of thermal stress. However, a slight decreasing trend was noticed along coastal regions and the south of C.A. Thereafter, the trend values showed the degree of C.A. vulnerability to global warming, and thus appropriate measures should be taken in relation to outdoor occupations and its impacts on the population of this region.
Climate change is acknowledged as one of the greatest environmental and development challenges society faces. Many organisations are now encouraged to conduct assessments of the climate risks they will be exposed to over the next decades. The Global Change Institute (University of Witwatersrand, South Africa) conducted such an assessment for the southern Africa region, to identify some of the main clusters of climate-change related risks. A list of over fifty risks was scored and ranked using a modified-Delphi process; an iterative process of expert-driven risk identification and ranking that was informed from our collective experience and the literature. We focused on the likelihood and consequence in the mid-term (2041-2060) and scored each risk according to this time frame (risk score = [likelihood of event occurring] x [the impact of the event], moderated by the multiple lines of evidence available (Evidence confidence), and the expert rankings of the assessors (Scorer confidence)), using the assumption of the IPCC RCP8.5 climate scenario. The top quartile was organized into five clusters of risk: food insecurity; water shortages; failed energy transition; human heat stress; and risks to nature and the bioeconomy. This paper describes these risk clusters, explored through the lens of available literature, and analysed within the broader framework of the sustainable development goals (SDGs), and the individual and collective actions that can be taken to reduce or adapt to these risks. There are many technical solutions to these risks, but these typically are costly and only function up to a point where the risks become unmanageable. For solutions to be successful, a ‘systems view’ and the complex interlinkages between climate change and socio-economic development must be addressed. The interconnected and cross-sectoral nature of the climate risk domains certainly presents a challenge for governance; the success of some of the measures discussed in this paper depends on the existence of strong, well-resourced, well-coordinated and influential governance mechanisms and state institutions and focusing on investigating the many synergies that exist among solutions.
BACKGROUND: The objective of this study was to evaluate the spatial and temporal patterns of disease prevalence clusters of dengue (DENV), chikungunya (CHIKV) and Zika (ZIKV) virus and how socio-economic and climatic variables simultaneously influence the risk and rate of occurrence of infection in Mexico. METHODS: To determine the spatiotemporal clustering and the effect of climatic and socio-economic covariates on the rate of occurrence of disease and risk in Mexico, we applied correlation methods, seasonal and trend decomposition using locally estimated scatterplot smoothing, hotspot analysis and conditional autoregressive Bayesian models. RESULTS: We found cases of the disease are decreasing and a significant association between DENV, CHIKV and ZIKV cases and climatic and socio-economic variables. An increment of cases was identified in the northeastern, central west and southeastern regions of Mexico. Climatic and socio-economic covariates were significantly associated with the rate of occurrence and risk of the three arboviral disease cases. CONCLUSION: The association of climatic and socio-economic factors is predominant in the northeastern, central west and southeastern regions of Mexico. DENV, CHIKV and ZIKV cases showed an increased risk in several states in these regions and need urgent attention to allocate public health resources to the most vulnerable regions in Mexico.
The Sustainable Development Goals (SDGs) are a global appeal to protect the environment, combat climate change, eradicate poverty, and ensure access to a high quality of life and prosperity for all. The next decade is crucial for determining the planet’s direction in ensuring that populations can adapt to climate change. This study aims to investigate the progress, challenges, opportunities, trends, and prospects of the SDGs through a bibliometric analysis from 2015 to 2022, providing insight into the evolution and maturity of scientific research in the field. The Web of Science core collection citation database was used for the bibliometric analysis, which was conducted using VOSviewer and RStudio. We analyzed 12,176 articles written in English to evaluate the present state of progress, as well as the challenges and opportunities surrounding the SDGs. This study utilized a variety of methods to identify research hotspots, including analysis of keywords, productive researchers, and journals. In addition, we conducted a comprehensive literature review by utilizing the Web of Science database. The results show that 31% of SDG-related research productivity originates from the USA, China, and the UK, with an average citation per article of 15.06. A total of 45,345 authors around the world have contributed to the field of SDGs, and collaboration among authors is also quite high. The core research topics include SDGs, climate change, Agenda 2030, the circular economy, poverty, global health, governance, food security, sub-Saharan Africa, the Millennium Development Goals, universal health coverage, indicators, gender, and inequality. The insights gained from this analysis will be valuable for young researchers, practitioners, policymakers, and public officials as they seek to identify patterns and high-quality articles related to SDGs. By advancing our understanding of the subject, this research has the potential to inform and guide future efforts to promote sustainable development. The findings indicate a concentration of research and development on SDGs in developed countries rather than in developing and underdeveloped countries.
The impact of climate change in recent years on public health risks continues to intensify, and rational arrangement of trees can effectively reduce urban heat islands. As a gathering place for residents’ outdoor activities, the small squares widespread in a city have a high risk of daytime heat exposure during summer due to their lack of shelter. How to maintain a balance between openness and shading has become a challenge for urban design. The tree canopy plan that forms a continuous shaded area during the hottest hours of a typical summer day is provided based on the principles of planting economy, activity space adequacy, and heat stress relief effectiveness. Taking 5 typical squares in Dalian, China as an example, we calculated the spatio-temporal distribution of the mean radiant temperature (Tmrt) before and after tree canopy planning using the validated SOLWEIG model, and quantified the corresponding changes in risk levels. This study aims to provide climate change adaptation strategies for small squares to deal with health risks through implementing tree canopies. The results showed that the average Tmrt decreased by 3.5 degrees C-7.7 degrees C during the hottest period of the day (11:00-15:00, August 14, 2020). The high-risk areas were reduced by 27%-50.4%. The improvement rate of canopy planning is 53%-94% in the high-risk area, but only 36% in the medium-risk area. We concluded that square height-to-width ratios are associated with the degree of heat exposure risk, and squares with high levels of heat exposure risk have greater overall cooling potential after tree canopy planning. Implementing tree canopy planning can create continuous low-risk paths, while keeping the square open and protecting those who need to pass during the hottest hours. Compared with the medium-risk areas planted in squares, the planning benefits of high-risk areas are better.
Heat extremes severely affect human-health. Their impacts can be further exacerbated when humidity is included, which forms a kind of compound extremes called as compound humidity-heat extremes (CHEs). Previous works mainly focus on the spatiotemporal patterns and causes of CHEs, limited studies are devoted to the coupling strength between the involved two variables, which quantifies the coherence between the two fields and also plays a key role in determining the intensity and persistence of such CHEs. Based on Dynamical System (DS) method, this study takes the successive reanalysis data of daily mean 2-m air temperature (Tmean) and relative humidity (RH) over a given region as two DSs, then an instantaneous coupling metric is computed to quantify the coupling strength of CHEs. Although all CHEs are with a high value of Heat Index (HI), they show a marked discrepancy in coupling strength, which may be mainly related to the stability of large-scale atmosphere from four favorable underlying mechanisms: (1) westward extension and intensification of the Western North Pacific Subtropical High; (2) wave trains in mid-latitude; (3) barotropic structure and (4) no tropical cyclone. Strong coupled CHEs can meet all the requirements while weak coupled not. These novel findings provide further understandings on the compound extreme events and contribute considerably to heat-related risk assessment and management.
Solastalgia is a recent concept that refers to disruptive psychological responses in people exposed to environmental degradation. The aim of this study was to determine the number of dimensions solastalgia has using a sample of people exposed to the effects of climate change in the coastal dry land of Maule region, Chile. In order to achieve this, a Scale Of Solastalgia (SOS) was designed and then validated, by means of applying it to 223 inhabitants at the municipalities of Pencahue (n = 105) and Curepto (n = 118), who were also evaluated by the Short Post-traumatic Stress Disorder Rating Interview (SPRINT-E). Using robust validation methods (Parallel factor analysis and Omega), two dimensions were obtained for solastalgia: solace and algia. Both correlate with the SPRINT-E scale (r = 0.150, p < 0.01 and r = 0.359, p < 0.01, respectively) and have 58% sensitivity and 67% specificity to detect cases of post-traumatic stress disorder (PTSD). Like PTSD, solastalgia is related to psychopathologies expected after disasters and also presents a spatial pattern where the concentration of positive cases occurs in places of greater exposure to environmental change or degradation.
Pacific Island Countries are particularly vulnerable to the environmental and economic consequences of climate change including both direct and indirect impacts on individuals’ mental health. There is a need to better understand the links between environmental attitudes, pro-environmental behaviours, and well-being in this region and to develop cost-effective, culturally informed interventions. The present study explored the level of environmental concerns and attitudes among Pacific Island university students and how this relates to their overall well-being, the nature of their current pro-environmental actions, and the potential for individuals’ character strengths to predict pro-environmental attitudes. College students (n = 269) from six Pacific Island Countries completed a survey measuring their character strengths, well-being, and environmental support. As expected, the young adults had very high levels of concern about environmental threats, and this was related to their overall well-being. The young adults felt a personal responsibility to protect the environments around their local communities, which suggests national climate change strategies should be embedded within this localised context. Character strengths were highly valued among the Pacific Island sample and showed some association with (specifically) support for environmental actions and policies. Given the high levels of environmental concern in the sample, the character strengths approach likely provides a bridge between emotional engagement and active allyship in some individuals. Therefore, further research should investigate the role of character strengths in empowering pacific students to play a more leading role in policy change.
BACKGROUND: Tropical cyclones are a recurrent, lethal hazard. Climate change, demographic, and development trends contribute to increasing hazards and vulnerability. This mapping review of articles on tropical cyclone mortality assesses geographic publication patterns, research gaps, and priorities for investigation to inform evidence-based risk reduction. METHODS: A mapping review of published scientific articles on tropical cyclone-related mortality indexed in PubMed and EMBASE (English) and SINOMED and CNKI (Chinese), focusing on research approach, location, and storm information, was conducted. Results were compared with data on historical tropical cyclone disasters. FINDINGS: A total of 150 articles were included, 116 in English and 34 in Chinese. Nine cyclones accounted for 61% of specific event analyses. The United States (US) reported 0.76% of fatalities but was studied in 51% of articles, 96% in English and four percent in Chinese. Asian nations reported 90.4% of fatalities but were studied in 39% of articles, 50% in English and 50% in Chinese. Within the US, New York, New Jersey, and Pennsylvania experienced 4.59% of US tropical cyclones but were studied in 24% of US articles. Of the 12 articles where data were collected beyond six months from impact, 11 focused on storms in the US. Climate change was mentioned in eight percent of article abstracts. INTERPRETATION: Regions that have historically experienced high mortality from tropical cyclones have not been studied as extensively as some regions with lower mortality impacts. Long-term mortality and the implications of climate change have not been extensively studied nor discussed in most settings. Research in highly impacted settings should be prioritized.
Little is known about how the psychological stress of having experienced a natural disaster affects cancer patients. We experienced a patient who was treated with breast cancer after having been stricken by a typhoon, which resulted in significant psychological damage. Treatment strategies should incorporate patients’ mental health appropriately after disasters.
Climate change is accelerating the intensity and frequency of wildfires globally. Understanding how wildfire smoke (WS) may lead to adverse pregnancy outcomes and alterations in placental function via biological mechanisms is critical to mitigate the harms of exposure. We aim to review the literature surrounding WS, placental biology, biological mechanisms underlying adverse pregnancy outcomes as well as interventions and strategies to avoid WS exposure in pregnancy. This review includes epidemiologic and experimental laboratory-based studies of WS, air pollution, particulate matter (PM), and other chemicals related to combustion in relation to obstetric outcomes and placental biology. We summarized the available clinical, animal, and placental studies with WS and other combustion products such as tobacco, diesel, and wood smoke. Additionally, we reviewed current recommendations for prevention of WS exposure. We found that there is limited data specific to WS; however, studies on air pollution and other combustion sources suggest a link to inflammation, oxidative stress, endocrine disruption, DNA damage, telomere shortening, epigenetic changes, as well as metabolic, vascular, and endothelial dysregulation in the maternal-fetal unit. These alterations in placental biology contribute to adverse obstetric outcomes that disproportionally affect the most vulnerable. Limiting time outdoors, wearing N95 respirator face masks and using high quality indoor air filters during wildfire events reduces exposure to related environmental exposures and may mitigate morbidities attributable to WS.
Under heat problem, the combined effects of heatwaves and urban heat island effects, has been one of the deadliest climate-related disasters. Uncovering heat-induced health problems is of significance to inform people of urban heat impacts and improve people’s awareness of addressing urban heat problems. Existing studies have primarily done this through panel analysis based on second-hand data from local or national authorities. However, there are limited studies directly concentrating on the heat responses of people. To address this gap, this study aims to investigate public responses to urban heat and heat-related illness on the individual side. The study was conducted through a questionnaire survey in three Chinese cities including Nanchang, Shenyang and Xi’an. Based on 1154 valid responses, this study analysed respondents’ understanding of urban heat problems, symptoms of physiological illnesses and their behaviours of hospitalisation. The results indicate that the knowledge of heat-related risks (2.29 out of 5) was significantly lower than the perceived urban heat severity (3.24) and the perceived severity of physiological impacts (2.40). The skin heat damage (44.7%), among 873 respondents who underwent physiological impacts, was the most frequent physiological illness, followed by the digestive systems (34.0%) and then respiratory (24.1%) and cardiovascular diseases (18.2%). Among the 873 respondents, only 4.0% and 17.7% of respondents would like or were mostly yes to visit hospitals, while 14.2% and 26.4% of the respondents would not like or were mostly not to visit hospitals. Moreover, perceived urban heat severity, knowledge of heat-related risks, perceived severity of physiological impacts, symptoms of physiological illnesses and behaviours of hospitalisation were city-specific and demography-dependent. Overall, the empirical analysis provides new evidence of urban heat problems and generates theoretical and policy implications for heat-induced impact estimation and prevention.
Heat stress is associated with numerous health effects that potentially harm workers, especially in a warming world. This investigation occurred in a setting where laborers are confronted with occupational heat stress from physically demanding work in high environmental temperatures. Collaboration with a major Nicaraguan sugarcane producer offered the opportunity to study interventions to prevent occupational heat-stress-related kidney disease. Two aims for this study of a rest-shade-water intervention program were: (1) describe the evolving intervention, summarize findings that motivated proposed improvements, assess impact of those improvements, and identify challenges to successful implementation and (2) extract primary lessons learned about intervention research that have both general relevance to investigations of work-related disease prevention and specific relevance to this setting. The learning curve for the various stakeholders as well as the barriers to success demonstrate that effectiveness of an intervention cannot be adequately assessed without considerations of implementation. Designing, effectively implementing, and assessing both health impacts and implementation quality is a resource-intensive endeavor requiring a transdisciplinary approach. Both general and specific lessons learned are presented for decisions on study design and study elements, implementation assessment, and management engagement in understanding how productivity and health can be successfully balanced and for building effective communication between investigators and all levels of management.
Water quality is a fundamental issue for the survival of a city, especially on dry land. In ancient times, water availability determined the location and size of villages and cities. Water supply and treatment methods were developed and perfected along with the evolution of urbanization. In Europe, after the fall of the Roman Empire, water supply and sewage systems went through fundamental changes. However, in medieval times, the lack of proper sanitation and low water quality increased the spreading and effects of epidemics. The importance of potable water quality was established during modern times. In Greece, the significance of water filtration and disinfection was not understood until the beginning of the 20th century. Moreover, the beneficial effects of water quality and sanitation on human health and especially on life expectancy are considered. In Greece and other countries, a dramatic increase in life expectancy mainly after the 2nd World War is probably due to the improvement of potable water quality and hygiene conditions. However, since the mid-20th century, new water quality issues have emerged, such as eutrophication, the improvement of water treatment technologies, as well as chemical and microbiological water pollution problems. This study, in addition to the historical evolution of water quality, highlights and discusses the current issues and challenges with regard to the management and protection of water quality, including global changes in population and urbanization, lack of infrastructure, use of nonconventional water resources, spreading of emerging pollutants and contaminants (e.g., antibiotics and microplastics), and climatic variability impacts. Against these, a review of the main proposed strategies and measures is presented and discussed to protect water quality and maintain water supplies for the future. Understanding the practices and solutions of the past provides a lens with which to view the present and future.
Aedes aegypti, the primary vector for dengue, chikungunya and zika, breeds mainly in stored/stagnant water and thrives in contexts of rapid urbanization in tropical countries. Some have warned that climate change, in conjunction with urbanization, could drive the proliferation of Aedes aegypti mosquitoes. In Colombia dengue has been endemic since the 1990s and the country had the highest number of cases of zika virus in the world after Brazil. Studies have found that domestic stored water contributes to high percentages of the total Ae. aegypti pupal population in Colombian urban sectors. In particular, neighborhoods where water service provision is intermittent are vulnerable to mosquito-borne diseases as water is stored inside households. This article draws on archival work, interviews, and entomological literature to reflect on the ways in which rapid urbanization in the context of armed conflict, infrastructural inequality, the absence of formal jobs, and specific water laws and regulations produce water and Aedes aegypti in the city. It offers an initial attempt to theorize water with larvae by focusing on two interrelated processes. First, the historical and geographic processes that underlie the production of stored water, which despite being treated can become a place of fertility where mosquitoes can flourish. Secondly, the processes by which water, mosquitoes, pathogens, and human bodies become interrelated. This entails thinking about some homes in Barranquilla as socioecological assemblages that are dynamically produced, socially and materially.
Despite years of social mobility, indigenous people in India stand low in most development indices, and the substandard living conditions make them highly vulnerable to natural disasters. In this communication, we unfold the vulnerabilities and coping strategies of the Paniya tribal community of Kerala during the unusual rain and flood that the state faced in 2018 and 2019. The vulnerability arises primarily from food scarcity, malnutrition, low physical well-being, unemployment and financial instability. Climate change and related events seem to heighten the prevailing exposure of the indigenous community, and women are generally more vulnerable to the impacts of natural disasters. The study also points out the psychological impact of the flood and the various coping mechanisms adopted over individual and community levels to alleviate the effect. The community members have an optimistic outlook towards life, even after experiencing catastrophic floods and landslides. Nevertheless, this outlook is not a visionary outcome of the rehabilitation process but rather an optionless strategy for the community to get along.
In human experience, it has been well known that temperature induced aggravations, such as heatstroke, heat cramps, dehydration, and frostbite, are among the most common health hazards. For those who live or work in prolonged and extreme temperature conditions, the aggravation may lead to fatal consequences. Temperature control systems such as air conditioning and central heating have been investigated and implemented to provide people a comfortable, and more importantly, livable temperature. However, these systems could be cumbersome to implement in an outdoor or confined environment. Moreover, they lack flexibility such mobility and adaptable temperature for individual needs. In this study, a wearable bio-inspired pulsating (discontinuous) flow cooling system with superior heat exchange efficiency to conventional steady (continuous) flow system, is proposed. Based on a novel array of the cooling tubes, an empirical approach is adopted to avoid complex numerical analysis of the thermal fluid dynamic involved. The prototypes of the two cooling flow systems are built and their performances compared. The results show that the proposed system not only demonstrates better cooling, but also offers potential flexibility that allows personalized temperature conditioning in a ‘live’ garment.
BACKGROUND: Although climate change is one of the biggest global health threats, individual-level and short-term data on direct exposure and health impacts are still scarce. Wearable electronic devices (wearables) present a potential solution to this research gap. Wearables have become widely accepted in various areas of health research for ecological momentary assessment, and some studies have used wearables in the field of climate change and health. However, these studies vary in study design, demographics, and outcome variables, and existing research has not been mapped. OBJECTIVE: In this review, we aimed to map existing research on wearables used to detect direct health impacts and individual exposure during climate change-induced weather extremes, such as heat waves or wildfires. METHODS: We conducted a scoping review according to the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) framework and systematically searched 6 databases (PubMed [MEDLINE], IEEE Xplore, CINAHL [EBSCOhost], WoS, Scopus, Ovid [MEDLINE], and Google Scholar). The search yielded 1871 results. Abstracts and full texts were screened by 2 reviewers (MK and IM) independently using the inclusion and exclusion criteria. The inclusion criteria comprised studies published since 2010 that used off-the-shelf wearables that were neither invasive nor obtrusive to the user in the setting of climate change-related weather extremes. Data were charted using a structured form, and the study outcomes were narratively synthesized. RESULTS: The review included 55,284 study participants using wearables in 53 studies. Most studies were conducted in upper-middle-income and high-income countries (50/53, 94%) in urban environments (25/53, 47%) or in a climatic chamber (19/53, 36%) and assessed the health effects of heat exposure (52/53, 98%). The majority reported adverse health effects of heat exposure on sleep, physical activity, and heart rate. The remaining studies assessed occupational heat stress or compared individual- and area-level heat exposure. In total, 26% (14/53) of studies determined that all examined wearables were valid and reliable for measuring health parameters during heat exposure when compared with standard methods. CONCLUSIONS: Wearables have been used successfully in large-scale research to measure the health implications of climate change-related weather extremes. More research is needed in low-income countries and vulnerable populations with pre-existing conditions. In addition, further research could focus on the health impacts of other climate change-related conditions and the effectiveness of adaptation measures at the individual level to such weather extremes.
OBJECTIVES: It is unclear whether G protein-coupled receptor 61 (GPR61) affecting body weight, plays a role in the association between birth weight and weather. This study aimed to assess the effects of prenatal weather and GPR61 on birth weight. METHODS: A total of 567 mother-newborn pairs were recruited in Houzhai Center Hospital during 2011-2012. We detected the maternal and neonatal GPR61 promoter methylation levels, and obtained meteorological and air pollution data. RESULTS: A positive association was observed between maternal and neonatal GPR61 methylation levels, and both of them were affected by precipitation, relative humidity (RH) and daily temperature range (DTR). Birth weight was associated negatively with RH and positively with DTR ( P < 0.05). A significant association was observed between birth weight and neonatal GPR61 methylation. We observed that maternal GPR61 methylation seemed to modify associations between weather and birth weight ( P (interaction) < 0.10), while neonatal GPR61 methylation mediated the effects of RH and DTR on birth weight ( P < 0.05). CONCLUSIONS: Our findings revealed the significant associations among prenatal weather, GPR61 methylation and birth weight. Maternal GPR61 methylation may modify the susceptibility of birth weight to prenatal weather conditions, while neonatal GPR61 methylation may be a bridge of the effects of prenatal RH and DTR on birth weight.
OBJECTIVE: To examine the sequence of environmental and entomological events prior to a substantial increase in Ross River virus (RRV) and Barmah Forest virus (BFV) notifications with a view to informing future public health response. METHODS: Rainfall, tidal, mosquito and human arboviral notification data were analysed to determine the temporality of events. RESULTS: Following two extremely dry years, there was a substantial increase in the abundance of mosquitoes along coastal New South Wales (NSW) two weeks after a significant rainfall event and high tides in February 2020. Subsequently, RRV and BFV notifications in north east NSW began to increase eight and nine weeks respectively after the high rainfall, with RRV notifications peaking 12 weeks after the high rainfall. CONCLUSIONS: Mosquito bite avoidance messaging should be instigated within two weeks of high summer rainfall, especially after an extended dry period. IMPLICATIONS FOR PUBLIC HEALTH: Intense summertime rain events, which are expected to increase in frequency in south-east Australia with climate change, can lead to significant increases in arboviral disease. These events need to be recognised by public health practitioners to facilitate timely public health response. This has taken on added importance since the emergence of Japanese encephalitis virus in southeastern Australia in 2022.
Climate-related changes in human sun exposure behavior can be an important influence on future ultraviolet radiation (UVR) related disease risks. In particular, active leisure mobility and leisure activities are more dependent on weather conditions than routine activities. However, the direction and extent of the effects vary. For temperate and cold climates, the available studies provide indications that a possible increase in UVR exposure would primarily result from a reduction in clothing and only secondarily from changes in the time spent outdoors. Existing studies suggest a nonlinear, bell-shaped relationship with threshold value effects for the relationship between outdoor time and thermal conditions. If the local climate is already very warm and there are only minor seasonal differences, there is no statistically significant evidence of changes in behavior. If there is significant warm discomfort, there is a tendency to avoid being outdoors or in the sun. It is not justified to simply transfer and generalize results and conclusions to different climates and seasons and between different leisure activities and forms of active mobility. The geographical context must be considered also in terms of cultures and habits, adaptations, traffic and land use (urban, rural). In addition, changes in behavior can develop differently depending on individual characteristics of people such as heat affinity, leisure type, age and gender. Differentiated analyses are required that take into account and balance opposing effects.
West Nile virus (WNV) is a member of the Japanese encephalitis serocomplex, which was first described in 1937 as neurotropic virus in Uganda in 1937. Subsequently, WNV was identified in the rest of the old-world and from 1999 in North America. Birds are the primary hosts, and WNV is maintained in a bird-mosquito-bird cycle, with pigs as amplifying hosts and humans and horses as incidental hosts. WNV transmission is warranted by mosquitoes, usually of the Culex spp., with a tendency to spill over when mosquitoes’ populations build up. Other types of transmissions have been described in endemic areas, as trough transplanted organs and transfused blood, placenta, maternal milk, and in some occupational settings. WNV infections in North America and Europe are generally reported during the summer and autumn. Extreme climate phenomena and soil degradation are important events which contribute to expansion of mosquito population and consequently to the increasing number of infections. Draught plays a pivotal role as it makes foul water standing in city drains and catch basins richer of organic material. The relationship between global warming and WNV in climate areas is depicted by investigations on 16,298 WNV cases observed in the United States during the period 2001-2005 that showed that a 5°C increase in mean maximum weekly temperature was associated with a 32-50% higher incidence of WNV infection. In Europe, during the 2022 season, an increase of WNV cases was observed in Mediterranean countries where 1,041 cases were reported based on ECDC data. This outbreak can be associated to the climate characteristics reported during this period and to the introduction of a new WNV-1 lineage. In conclusion, current climate change is causing an increase of mosquito circulation that supports the widest spread of some vector-borne virus including WNV diffusion in previously non-permissible areas. This warrant public health measures to control vectors circulation to reduce WNV and to screen blood and organ donations.
BACKGROUND: Household dietary diversity in Rwanda remains low and significantly contributes to the double burden of malnutrition. Rwanda has one of the highest under five stunting rates globally, and malnutrition remains one of the most pressing public health issues; therefore, factors that shape food and nutrition security are of utmost concern. Globally, the variety of foods available in open-air markets has been shown to affect dietary diversity. Furthermore, the consumption of indigenous foods can contribute to a diverse diet and improve nutrition status. At present, there are limited data on foods available for purchase in open-air markets in Africa. Therefore, this study was designed to provide data on food availability in the largest open-air markets of Rwanda’s most populated city, Kigali, and to highlight which foods indigenous to Africa can be purchased. METHODS: All consumables were inventoried between October and December of 2020 in three open-air markets of Kigali, the capital city of Rwanda. Consumables were organized by the site of domestication and the nutritional contents of some African indigenous crops were compared to similar non-indigenous items. RESULTS: A variety of raw and processed consumables was available in the open-air markets inventoried; however, only 25.8% of available species are indigenous to Africa. All Rwanda’s staples, including sweet potatoes, plantains, beans, maize, banana, and cassava, are endemic to other continents. Indigenous plant species, which are often drought-resistant and more nutritious, for example, Africa’s pineapple fruits (Myrianthus holstii), could not be purchased in Kigali’s open-air markets. Pineapple fruits are richer in iron, vitamin C, protein, and vitamin A than banana, which is the most consumed fruit in Rwanda. CONCLUSIONS: Given rapid population growth, limited arable land, and erratic climate patterns, policies to conserve and promote indigenous species, especially those already adapted to harsh environmental conditions, should be enacted in Rwanda. The cultivation of native vegetables and fruits in home gardens, and the conservation of edible wild species, can improve dietary diversity and enhance food and nutrition security across the entire country.
Bacterial and viral diseases in aquaculture result in severe production and economic losses. Among pathogenic bacteria, species belonging to the Vibrio genus are one of the most common and widespread disease-causing agents. Vibrio infections play a leading role in constraining the sustainable growth of the aquaculture sector worldwide and, consequently, are the target of manifold disease prevention strategies. During the early, larval stages of development, Vibrio species are a common cause of high mortality rates in reared fish and shellfish, circumstances under which the host organisms might be highly susceptible to disease preventive or treatment strategies such as vaccines and antibiotics use, respectively. Regardless of host developmental stage, Vibrio infections may occur suddenly and can lead to the loss of the entire population reared in a given aquaculture system. Furthermore, the frequency of Vibrio-associated diseases in humans is increasing globally and has been linked to anthropic activities, in particular human-driven climate change and intensive livestock production. In this context, here we cover the current knowledge of Vibrio infections in fish aquaculture, with a focus on the model species gilthead seabream (Sparus aurata), a highly valuable reared fish in the Mediterranean climatic zone. Molecular methods currently used for fast detection and identification of Vibrio pathogens and their antibiotic resistance profiles are addressed. Targeted therapeutic approaches are critically examined. They include vaccination, phage therapy and probiotics supplementation, which bear promise in supressing vibriosis in land-based fish rearing and in mitigating possible threats to human health and the environment. This literature review suggests that antibiotic resistance is increasing among Vibrio species, with the use of probiotics constituting a promising, sustainable approach to prevent Vibrio infections in aquaculture.
BACKGROUND: The associations between viral etiology of acute respiratory infections (ARI) with meteorological factors and air pollutants among children is not fully understood. This study aimed to explore the viral etiology among children hospitalized for ARI and the association of meteorological factors and air pollutants with children hospitalization due to viral ARI. METHODS: Electronic health record data about children (aged between 1 month and 14 years) admitted for ARI at Kiang Wu Hospital in Macao between 2014 and 2017 was analyzed retrospectively. xMAP multiplex assays were used to detect viruses in the nasopharyngeal swab and distributed-lag nonlinear model (DLNM) was used to evaluate associations. RESULTS: Among the 4880 cases of children hospitalization due to ARI, 3767 (77.2%) were tested positive for at least one virus and 676 (18%) exhibited multiple infections. Enterovirus (EV)/rhinovirus (HRV), adenovirus (ADV), respiratory syncytial virus (RSV) and influenza virus (IFV) were the most common viral pathogens associated with ARI and human bocavirus (hBOV) exhibited the highest multiple infection rates. Meteorological factors and air pollutants (PM(10), PM(2.5) and NO(2)) were associated with the risk of viral ARI hospitalization. The relative risk of viral infection increased with daily mean temperature but plateaued when temperature exceeded 23 °C, and increased when the relative humidity was < 70% and peaked at 50%. The effect of solar radiation was insignificant. Air pollutants (including PM(10), PM(2.5,) NO(2) and O(3)) showed strong and immediate effect on the incidence of viral infection. CONCLUSIONS: The effects of mean temperature, relative humidity and air pollutants should be taken into account when considering management of ARI among children.
BACKGROUND: Literature reporting the association between heat stress defined by universal thermal climate index (UTCI) and emergency department visits is mainly conducted in Europe. This study aimed to investigate the association between heat stress, as defined by the UTCI, and visits to the accident and emergency department (AED) in Hong Kong, which represents a subtropical climate region. METHODS: A retrospective study involving 13,438,846 AED visits in the public sector from May 2000 to September 2016, excluding 2003 and 2009, was conducted in Hong Kong. Age-sex-specific ANCOVA models of daily AED rates on heat stress and prolonged heat stress, adjusting for air quality, prolonged poor air quality, typhoon, rainstorm, year, day of the week, public holiday, summer vacation, and fee charging, were used. RESULTS: On a day with strong heat stress (32.1 °C ≤ UTCI ≤ 38.0 °C), the AED visit rate (per 100,000) increased by 0.9 (95% CI: 0.5, 1.3) and 1.7 (95% CI: 1.3, 2.1) for females and males aged 19-64 and 4.1 (95% CI: 2.7, 5.4) and 4.1 (95% CI: 2.6, 5.6) for females and males aged ≥ 65, while keeping other variables constant. On a day with very strong heat stress (38.1 °C ≤ UTCI ≤ 46.0 °C), the corresponding rates increased by 0.6 (95% CI: 0.1, 1.2), 2.2 (95% CI: 1.7, 2.7), 4.9 (95% CI: 3.1, 6.7), and 4.7 (95% CI: 2.7, 6.6), respectively. The effect size of heat stress associated with AED visit rates was negligible among those aged ≤ 18. Heat stress showed the greatest effect size for males aged 19-64 among all subgroups. CONCLUSION: Biothermal condition from heat stress was associated with the health of the citizens in a city with a subtropical climate and reflected in the increase of daily AED visit. Public health recommendations have been made accordingly for the prevention of heat-related AED visits.
Interactions among social inequalities, environmental stressors, and shocks are illustrated through communities??? subjective experiences of water-related challenges and responses to crises. This situation is perhaps most visible in the COVID-19 pandemic???s impact on marginalized communities where climate change and systemic inequities are already threatening access to water and sanitation. It is critical to integrate dimensions related to well-being into research about vulnerable communities??? capacities and strategies for coping and adapting to such crises. Here, we investigate water-related risks to health and well-being using a subjectivity lens, a particularly useful tool for understanding community-level resilience to lesser-known stressors and crisis impacts. To inform this study, we used households??? self-reported water issues in Cape Town, South Africa???s low-income areas from before the pandemic, in addition to community responses during the pandemic. The findings show how inadequate access to water and sanitation affects people???s health and well-being, both directly by exposure to wastewater and impaired hygiene, and indirectly by creating stress and social conflict, and undermining subsistence gardening and medical self-care. However, our study also illustrates how grassroots-led responses to the COVID-19 crisis address these vulnerabilities and identify priorities for managing water to support well-being. The results demonstrate two ways that subjective perceptions of well-being can help to promote resilience: first, by identifying stressors that undermine community well-being and adaptive capacity; and second, by voicing community experiences that can help to guide crisis responses and initiatives critical for adapting to social-ecological shocks. The results have important implications for enabling transformative change that aligns efforts to address issues linked to poverty and inequality with those seeking to respond to environmental emergencies.
Vulnerability assessments identify vulnerable groups and can promote effective community engagement in responding to and mitigating destabilising events. This scoping review maps assessments for local-level vulnerabilities in the context of infectious threats. We searched various databases for articles written between 1978 and 2019. Eligible documents assessed local-level vulnerability, focusing on infectious threats and antimicrobial resistance. Since few studies provided this dual focus, we included tools from climate change and disaster risk reduction literature that engaged the community in the assessment. We considered studies using a One Health approach as essential for identifying vulnerability risk factors for zoonotic disease affecting humans. Of the 5390 records, we selected 36 articles for review. This scoping review fills a gap regarding vulnerability assessments by combining insights from various approaches: local-level understandings of vulnerability involving community perspectives; studies of social and ecological factors relevant to exposure; and integrated quantitative and qualitative methods that make generalisations based on direct observation. The findings inform the development of new tools to identify vulnerabilities and their relation to social and natural environments.
Climate change poses additional obstacles to poverty eradication and social justice. Rising temperatures, abnormal rainfall increases, storms, floods, and droughts have become more frequent and severe phenomena in Vietnam. This causes serious consequences for the livelihood security of the poor. Binh Chanh district (Ho Chi Minh City) is an area subject to severe risks of climate change in the Mekong River Delta, Vietnam. Here, the low-income groups are the most vulnerable because their adaptive capacity is still limited and low. This study uses the livelihood vulnerability index (LVI) to assess the level of vulnerability to climate change in households and communes in the Binh Chanh district. LVI includes three components: exposure (E), sensitivity (S), and adaptive capacity (AC) based on 23 indicators selected by reviewing the literature and consulting with experts. The article also conducted surveys with 931 households in 16 administrative communes in Binh Chanh for primary data. The research results showed that Tan Kien and An Phu Tay communes have the highest level of vulnerability since they are areas with mainly low-lying terrain and contiguous location rivers; the people in these towns are also vulnerable groups because they do not have a stable source of income, skills, and have low education and experience in climate change adaptation. The study also proposes some solutions to improve the capacity to adapt to climate change of vulnerable communes specifically: 1) creating diversified livelihoods with stable incomes; 2) deploying community-based climate change adaptation models for communes adjacent to rivers; 3) implementing adaptive agriculture and improving social capital for vulnerable households; 4) building resettlement areas for households heavily affected by disasters; and 5) raising awareness among low-income households to respond to natural hazards in the context of climate change.
BACKGROUND: Heatwaves have received major attention globally due to their detrimental effects on human health and the environment. The frequency, duration, and severity of heatwaves have increased recently due to changes in climatic conditions, anthropogenic forcing, and rapid urbanization. Australia is highly vulnerable to this hazard. Although there have been an increasing number of studies conducted in Australia related to the heatwave phenomena, a systematic review of heatwave vulnerability has rarely been reported in the literature. OBJECTIVES: This study aims to provide a systematic and overarching review of the different components of heatwave vulnerability (e.g., exposure, sensitivity, and adaptive capacity) in Australia. METHODS: A systematic review was conducted using the PRISMA protocol. Peer-reviewed English language articles published between January 2000 and December 2021 were selected using a combination of search keywords in Web of Science, Scopus, and PubMed. Articles were critically analyzed based on three specific heatwave vulnerability components: exposure, sensitivity, and adaptive capacity. RESULTS AND DISCUSSION: A total of 107 articles meeting all search criteria were chosen. Although there has been an increasing trend of heat-related studies in Australia, most of these studies have concentrated on exposure and adaptive capacity components. Evidence suggests that the frequency, severity, and duration of heatwaves in Australian cities has been increasing, and that this is likely to continue under current climate change scenarios. This study noted that heatwave vulnerability is associated with geographical and climatic factors, space, time, socioeconomic and demographic factors, as well as the physiological condition of people. Various heat mitigation and adaptation measures implemented around the globe have proven to be efficient in reducing the impacts of heatwaves. CONCLUSION: This study provides increased clarity regarding the various drivers of heatwave vulnerability in Australia. Such knowledge is crucial in informing extreme heat adaptation and mitigation planning.
BACKGROUND: In recent summers, some populous mid-latitude to high-latitude regions have experienced greater heat intensity, more at night than by day. Such warming has been associated with increased cause-specific adult mortality. Sex-specific and age-specific associations between summer nocturnal surface air temperatures (SAT) and cardiovascular disease (CVD) deaths have yet to be established. METHODS: A monthly time series analysis (June-July, 2001-2015) was performed on sex-specific CVD deaths in England and Wales of adults aged 60-64 and 65-69 years. Using negative binomial regression with autocorrelative residuals, associations between summer (June-July) nocturnal SAT anomalies (primary exposure) and CVD death rates (outcome) were computed, controlling for key covariates. To explore external validity, similar associations with respect to CVD death in King County, Washington, USA, also were calculated, but only for men aged 60-64 and 65-69 years. Results are reported as incidence rate ratios. RESULTS: From 2001 to 2015, within these specific cohorts, 39 912 CVD deaths (68.9% men) were recorded in England and Wales and 488 deaths in King County. In England and Wales, after controlling for covariates, a 1°C rise in anomalous summer nocturnal SAT associated significantly with a 3.1% (95% CI 0.3% to 5.9%) increased risk of CVD mortality among men aged 60-64, but not older men or either women age groups. In King County, after controlling for covariates, a 1°C rise associated significantly with a 4.8% (95% CI 1.7% to 8.1%) increased risk of CVD mortality among those <65 years but not older men. CONCLUSION: In two mid-latitude regions, warmer summer nights are accompanied by an increased risk of death from CVD among men aged 60-64 years.
Considering the global climate changes that have disrupted the availability of fresh water and led to the emergence of drought, an effective management strategy for water quality must be implemented. In this work, we analyzed the possibility of used and treated water being reused and the effect of its use on soil on the development of plants. In the case of irrigation with treated wastewater, the following parameters increased: calcium carbonate equivalent, organic matter, content of phosphorus, calcium, potassium, sodium, nitrogen, biochemical oxygen consumption; chemical oxygen demand (COD), decreased sodium absorption rate, soil electrical conductivity, pH, magnesium content, and soil bulk density. Due to the micronutrients it contains, the use of treated wastewater in irrigation can be an organic fertilizer for the soil. Wastewater is a source of soil water supply. Untreated wastewater may contain, depending on the source (industry, pharmacies, medicine, households), toxic compounds, bacteria, viruses, and helminths, which, if used for long periods of time in irrigation, can have a negative impact on health and the environment, reaching the soil, the roots of the crops, and then the underground water. Therefore, these waters must be used after adequate treatment. Global climate change disrupts the availability of fresh water and negatively influences the occurrence of floods, droughts, and water quality, which is why any water source must be managed correctly.
Disasters cost the world $US268bn in 2020 in economic, property and human losses. In Queensland, the most disaster-prone of Australian states, flood, cyclone and bushfire will cost $466bn over the next 40 years. Individual preparation for natural hazards has been shown to reduce this cost by reducing adverse experiences, physical health problems and post-traumatic stress, and improving the speed of disaster recovery. This study categorises preparation activity into clusters according to the activity’s purpose in order to survey residents of a bushfire-vulnerable area in Queensland, Australia. This cluster approach enabled identification of specific areas of weakness in preparation plans, finding that evacuation planning activity, and safety planning activity were especially weak. These results show that emergency agency communicators and community engagement practitioners can use cluster-based research to better plan messaging within their bushfire preparation communication campaigns to target and motivate specific safety behaviours. Improved safety of people and property will mitigate the costs of bushfires in Queensland in future.
High ground-level ozone concentrations and high air temperatures present two health-relevant natural hazards. The most severe health outcomes are generally associated with concurrent elevated levels of both variables, representing so-called compound ozone and temperature (o-t-) events. These o-t-events, their relationship with identified main meteorological and synoptic drivers, as well as ozone and temperature levels themselves and the linkage between both variables, vary temporally and with the location of sites. Due to the serious health burden and its spatiotemporal variations, the analysis of o-t-events across the European domain represents the focus of the current work. The main objective is to model and project present and future o-t-events, taking region-specific differences into account. Thus, a division of the European domain into six o-t-regions with homogeneous, similar ground-level ozone and temperature characteristics and patterns built the basis of the study. In order to assess region-specific main meteorological and synoptic drivers of o-t-events, statistical downscaling models were developed for selected representative stations per o-t-region. Statistical climate change projections for all central European o-t-regions were generated to assess potential frequency shifts of o-t-events until the end of the 21st century. The output of eight Earth System Models from the sixth phase of the Coupled Model Intercomparison Project considering SSP245 and SSP370 scenario assumptions was applied. By comparing midcentury (2041-2060) and late century (2081-2100) time slice differences with respect to a historical base period (1995-2014), substantial increases of the health-relevant compound o-t-events were projected across all central European regions.
The Sustainable Development Goals (SDG) framework aims to end poverty, improve health and education, reduce inequality, design sustainable cities, support economic growth, tackle climate change and leave no one behind. To monitor and report the progress on the 231 unique SDGs indicators in all signatory countries, data play a key role. Here, we reviewed the data challenges and costs associated with obtaining traditional data and satellite data (particularly for developing countries), emphasizing the benefits of using satellite data, alongside their portal and platforms in data access. We then assessed, under the maturity matrix framework (MMF 2.0), the current potential of satellite data applications on the SDG indicators that were classified into the sustainability pillars. Despite the SDG framework having more focus on socio-economic aspects of sustainability, there has been a rapidly growing literature in the last few years giving practical examples in using earth observation (EO) to monitor both environmental and socio-economic SDG indicators; there is a potential to populate 108 indicators by using EO data. EO also has a wider potential to support the SDGs beyond the existing indicators.
In Australia, heatwaves are more deadly than any other natural hazard and predicted to increase in frequency and intensity as a result of climate change. Heatwaves are directly connected to human health through heat-related illnesses such as heat exhaustion and heat stroke. Vulnerable people, particularly those without effective cooling in their homes, are at high risk of illness or death during heatwaves. Heat refuges-typically air-conditioned or cooled buildings that have been designated as a site to provide respite and safety during extreme heat-are commonly used in the Northern Hemisphere for vulnerable people during heatwaves but are less prevalent in Australia. In Australia, heat refuges tend to be managed by local councils as part of local planned climate adaptation measures. This article discusses the development of a heat refuge strategy in Blacktown City Local Government Area in western Sydney. Blacktown City has higher summer average temperatures than coastal Sydney, caused by its local geography and urban heat island effects that limit the inflow of cooler coastal winds. The draft Blacktown City heat refuge strategy is based on some of the key components of disaster risk reduction including risk assessment, early warning systems, emergency management planning, evacuation centres and community participation.
Immunization is widely recognized as one of the most successful and cost-effective health interventions, preventing two to three million deaths from vaccine-preventable diseases each year. Although progress has been made in recent years, substantial operational challenges persist in resource-limited settings with frequent stock-outs contributing to sub-optimal immunization coverage and inequality in vaccine access. In this paper, we investigate the role of rainy season induced supply chain disruptions on vacci-nation coverage and inequalities. We develop a modeling framework combining spatial modeling-to pre-dict flood disruptions in road networks-and a discrete-event simulation of a multi-tiered vaccine supply chain (VSC). Our models are fitted using data from the Malagasy VSC network and validated to the best extent possible with scarce data. Our baseline simulation predicts the national vaccination coverage with good accuracy and suggests that 67% of regions with low reported immunization coverage are affected by rainy season disruptions or operational inefficiencies, causing significant geographical inequalities in vac-cine access. We investigate various mitigation strategies to increase the resiliency of VSCs and find that, by strategically placing buffer inventory at targeted facilities prior to the rainy season, the proportion of children receiving all basic vaccines in these areas is increased by 8% and the geographical inequality in vaccination coverage between areas affected and not affected by the rainy season is reduced by 11%. By also increasing the replenishment frequency from every third month to every month, the national vac-cination coverage improves by 41%. Our results contribute to achieving the UN Sustainable Development Goals (SDGs) by providing actionable insights for improving vaccination coverage (SDG 3) and investigat-ing the resiliency of the VSC to increased flooding due to climate change (SDG 13). (c) 2021 Elsevier B.V. All rights reserved.
Using 40 countries’ subnational data, we estimate age-specific mortality-temperature relationships and extrapolate them to countries without data today and into a future with climate change. We uncover a U-shaped relationship where extre6me cold and hot temperatures increase mortality rates, especially for the elderly. Critically, this relationship is flattened by higher incomes and adaptation to local climate. Using a revealed-preference approach to recover unobserved adaptation costs, we estimate that the mean global increase in mortality risk due to climate change, accounting for adaptation benefits and costs, is valued at roughly 3.2% of global GDP in 2100 under a high-emissions scenario. Notably, today’s cold locations are projected to benefit, while today’s poor and hot locations have large projected damages. Finally, our central estimates indicate that the release of an additional ton of CO2 today will cause mortality-related damages of $36.6 under a high-emissions scenario, with an interquartile range accounting for both econometric and climate uncertainty of [-$7.8, $73.0]. These empirically grounded estimates exceed the previous literature’s estimates by an order of magnitude.
An accurate carbon emissions map is of great significance for urban planning to reduce carbon emissions, mitigate the heat island effect, and avoid the impact of high temperatures on human health. However, little research has focused on carbon emissions maps at the land patch level, which makes poor integration with small and medium-sized urban planning based on land patches. In this study, a vectorization method for spatial allocation of carbon emissions at the land patch level was proposed. The vector maps and spatial autocorrelation of carbon emissions in Zhangdian City, China were explored using multi-source data. In addition, the differences between different streets were analyzed, and the carbon emissions ratio of the land patch was compared. The results show that the vector carbon emissions map can help identify the key carbon reduction land patches and the impact factors of carbon emissions. The vector maps of Zhangdian City show that in 2021, the total carbon emissions and carbon absorptions were 4.76 × 10(9)kg and 4.28 × 10(6)kg respectively. Among them, industrial land accounted for 70.16% of carbon emissions, mainly concentrated in three industrial towns. Forest land carbon absorption accounted for 98.56%, mainly concentrated in the peripheral streets away from urban areas. The Moran’s I of land patch level carbon emissions was 0.138, showing a significant positive spatial correlation. The proportion of land patches is an important factor in determining carbon emissions, and the adjustment of industrial structure is the most critical factor in reducing carbon emissions. The results achieved can better help governments develop different carbon reduction strategies, mitigate the heat island effect, and support low-carbon and health-oriented urban planning.
Food supply disruption and shortage verified during the current pandemic events are a scenario that many anticipate for the near future. The impact of climate changes on food production, the continuous decrease in arable land, and the exponential growth of the human population are important drivers for this problem. In this context, adding value to food waste is an obvious strategy to mitigate food shortages, but there is a long way to go in this field. Globally, it is estimated that one-third of all food produced is lost. This is certainly due to many different factors, but the lack of awareness of the consumer about the nutritional value of certain foods parts, namely peels and seeds, is certainly among them. In this review, we will unveil the nutritional and bioactive value of the waste discarded from the most important fresh fruit and vegetables consumed worldwide as a strategy to decrease food waste. This will span the characterization of the bioactive composition of selected waste from fruits and vegetables, particularly their seeds and peels, and their possible uses, whether in our diet or recycled to other ends.
Coccidioidomycosis is a fungal infection caused by Coccidioides immitis and Coccidioides posadasii. The dimorphic fungi live in the soils of arid and semi-arid regions of the western United States, as well as parts of Mexico, Central America, and South America. Incidence of disease has risen consistently in recent years, and the geographic distribution of Coccidioides spp. appears to be expanding beyond previously known areas of endemicity. Climate factors are predicted to further extend the range of environments suitable for the growth and dispersal of Coccidioides species. Most infections are asymptomatic, though a small proportion result in severe or life-threatening forms of disease. Primary pulmonary coccidioidomycosis is commonly mistaken for community-acquired pneumonia, often leading to inappropriate antibacterial treatment and unnecessary healthcare costs. Diagnosis of coccidioidomycosis is challenging and often relies on clinician suspicion to pursue laboratory testing. Advancements in diagnostic tools and antifungal therapy developments seek to improve the early detection and effective management of infection. This review will highlight recent updates and summarize the current understanding of the epidemiology, diagnosis, and treatment of coccidioidomycosis.
Urban informal settlements or slums are among the most vulnerable places to climate-change-related health risks. Yet, little data exist documenting environmental and human health vulnerabilities in slums or how to move research to action. Citizen science, where residents co-define research objectives with professionals, collect and analyze data, and help translate findings into ameliorative actions, can help fill data gaps and contribute to more locally relevant climate justice interventions. This paper highlights a citizen-science, climate justice planning process in the Mukuru informal settlement of Nairobi, Kenya. We describe how residents, non-governmental organizations and academics partnered to co-create data-gathering processes and generated evidence to inform an integrated, climate justice strategy called the Mukuru Special Planning Area, Integrated Development Plan. The citizen science processes revealed that <1% of residents had access to a private in-home toilet, and 37% lacked regular access to safe and affordable drinking water. We found that 42% of households were subject to regular flooding, 39% reported fair or poor health, and 40% reported a child in the household was stunted. These and other data were used in a community planning process where thousands of residents co-designed improvement and climate change adaptation strategies, such as flood mitigation, formalizing roads and pathways with drainage, and a water and sanitation infrastructure plan for all. We describe the participatory processes used by citizen scientists to generate data and move evidence into immediate actions to protect human health and a draft a long-range, climate justice strategy. The processes used to create the Mukuru Special Planning Area redevelopment plan suggest that participatory, citizen-led urban science can inform local efforts for health equity and global goals of climate justice.
The COVID-19 pandemic has forced a re-examination of our societies and in particular urban health. We argue that urban health needs to address three inter-related challenge areas – the unequal impacts of climate change, changing patterns of urbanization, and the changing role of the local government – across multiple spatial scales: from individual, households to neighbourhoods, cities, and urban hinterlands. Urban health calls for nimble institutions to provide a range of responses while adapting to crisis situations, and which operate beyond any one spatial scale. We illustrate our argument by drawing on South and Southeast Asian examples where responses to the pandemic have confronted these challenges across scales. A multiscalar definition of urban health offers an opportunity to challenge dominant approaches to urban health in research, policy, and practice.
Climate change is impacting cities and urban regions in significant ways, and people living within them must work out how to live with and adapt to the changes they bring. Indigenous peoples are increasingly moving to and living in cities, yet how they experience climate change within them is not understood. While literature explores Indigenous experiences of climate change and how Indigenous knowledge is being used to combat it, this work is geographically located in rural and remote Indigenous territories-not cities. This paper presents the results of a review that sought to find out why this is the case. Our aim was to identify scholarship that discussed how Indigenous people are affected by climate change in cities. To do so, we undertake a narrative literature review, which analyses content to distil key concepts in the literature, which are then presented in the paper to form a narrative. We find a significant gap in the literature addressing Indigenous experiences and voices concerning climate change in cities. We argue that this is due to the ongoing legacy of settler colonization, which has erased Indigenous peoples from urban territories to the extent that even when they are visible, urban Indigenous people are characterized as inauthentic and vulnerable. We call for action to overturn this insidious form of urban nullius to reclaim and assert Indigenous voices on and about climate change and policy in cities.
The aim of this study was to analyze urban sensory gardens containing aromatic herbs in terms of the plants used in them. The analysis considered the impact of climate change, particularly of higher temperatures, which may affect the character of contemporary urban gardens. The study was planned primarily in the context of the gardens’ therapeutic significance to their users. An important part of the work was to analyze how particular aromatic plants are perceived and received by the inhabitants, using the example of one of Poland’s largest cities, Krakow, to assess whether they can have an impact on the inhabitants’ positive memories and thus improve their well-being. Initially, the plant composition of gardens located in Poland that feature aromatic herbs was analyzed. This was followed by a survey and an analysis of therapeutic gardens using the Trojanowska method as modified by Krzeptowska-Moszkowicz et al. The plant composition analysis of sensory gardens featuring herbs demonstrated that vulnerable plants in the Central European climate are being introduced to urban sensory gardens. In terms of major aromatic plants, it was found that almost every respondent reported the existence of scents that had some form of essential significance associated with personal memories. Considering the important sensory impact of water elements in therapeutic gardens, as well as problems related to the acquisition of drinking water or water used in agriculture or horticulture, the paper also addresses this topic. It was found that the city dwellers who filled in the questionnaire strongly preferred the introduction of more ecological solutions in the gardens related to water use-to collect and use rainwater, e.g., for watering, instead of piped water.
It is commonly accepted that water insecurity, accelerated by climate change, is experienced by women in gender specific ways. Using a rapid review methodology this paper evaluates existing literature (2014-2021) on climate change adaptation in relation to water (SDG6) and gender (SDG5) in urban and peri-urban contexts. By analyzing water, gender, and adaptation literature a thematic mapping of SDG5 was done on the resulting 34 documents. Despite methodological limitations – time constraints, exclusion of gender-sustainable development literature, and narrow inclusion criteria – this paper finds a paucity of research in this space during the time period under study. Most literature focuses on low- and middle-income countries, primarily Asia and sub-Saharan Africa, to the exclusion of South America. Notably, evidence demonstrating interlinkages between SDG5 and climate change adaptations in the WaSH sector and gender sensitive dissemination of disaster warnings is lacking. Adaptation strategies resulting in negative impacts on women undermine SDG5 and maladaptive behaviours related to management of domestic water supply and disaster-risks are particularly concerning in this context. Subsequently, this paper establishes the need for practical research assessing the gendered dimensions of all adaptations, including research demonstrating interlinkages between adaptations, women-specific benefits, and strengthened legislation to promote gender equality and empowerment.
Cities are rapidly expanding and invariably moving toward densification. Global challenges such as climate change, land use change, environmental degradation, and expanding economy in urban areas increase water-related problems. This study addresses the difficulty of operationalizing the concept of urban water security by applying an integrative indicator-based urban water security assessment framework, formed by integrating two well-established frameworks, to evaluate the water security state in five different cities in Asia: Bangkok, Jaipur, Hanoi, Islamabad, and Madaba. The study carries out a comparative assessment of the outcomes of the indicators, and interlinks the plans, strategies, and policies of the cities with the indicators of the integrated framework to identify policy gaps and to suggest steps to improve urban water management in these five cities. Based on the results obtained, Hanoi currently has the best water security condition among these five cities. Despite the multiple dimensions of water security, the plans and policies formulated in the five cities focus mostly on water supply sanitation and human well-being among the dimensions pertinent to the framework. This study’s approach is applicable as a prototype study for a comparative assessment of urban water security parameters across cities globally.
Assessing vulnerability to natural hazards is at the heart of hazard risk reduction. However, many countries such as Australia lack measuring systems to quantity vulnerability for hazard risk evaluation. Drawing on 41 indicators from multiple data sources at the finest spatial unit of the Australian census, we re-forged the Cutter’s classic vulnerability measuring framework by involving the ‘4D’ quantification of built environment (diversity, design, density and distance), and constructed the first nationwide fine-grained measures of vulnerability for urban and rural locales, respectively. Our measures of vulnerability include five themes-(1) socioeconomic status; (2) demographics and disability; (3) minority and languages; (4) housing characteristics; and (5) built environment-that were further used to assess the inequality of vulnerability to three widely affected natural hazards in Australia (wildfires, floods, and earthquakes). We found the inequality of vulnerability in the affected areas of the three hazards in eight capital cities are more significant than that of their rural counterparts. The most vulnerable areas in capital cities were peri-urban locales which must be prioritised for hazard adaptation. Our findings contribute to the risk profiling and sustainable urban-rural development in Australia, and the broad understanding of place-based risk reduction in South Hemisphere.
Aim Social inequalities are widened by climate change, which increases extreme temperature events that disproportionally affect the most vulnerable people. While the diseases impacted have been reviewed in the literature, how this reflects upon pharmaceutical consumption remains unknown. We assess that effect on a panel of the most prescribed drug classes in terms of volume in the National Health Service (NHS) database. Subject and methods A retrospective econometric analysis of NHS prescription data was carried out, focusing on antibiotics, antidepressants and bronchodilators (drugs associated to priority diseases in addition to being among the most prescribed ones) between 2011 and 2018. Data linkage enabled prescriptions to be related to the Index of Multiple Deprivation (IMD), disability adjusted life-years (DALYs) and temperature data. The analysis was then undertaken at lower layer super output areas (LSOAs) level, using fixed-effect negative binomial regression models. Results Our results show that prescription rates were higher across the most deprived LSOAs, even after adjusting for the associated disease DALYs. In addition, prescription volume also progressively increased under colder temperatures below 15 degrees C, with an exacerbated effect in the most deprived areas. Conclusion Therefore, health inequalities in England affect prescription volumes, with higher levels in the most deprived areas which are not fully explained by morbidity differences. Lowest temperature conditions appear to intensify vulnerabilities while hot temperatures do not increase these differences in terms of prescriptions. Populations residing in the most deprived LSOAs could be more sensitive to environmental variables, leading to higher consumption of medicine under cold temperature and increased air pollution.
Energy psychology, as most widely practiced, integrates the manual stimulation of acupuncture points with imaginal exposure, cognitive restructuring, and other evidence-based psychotherapeutic procedures. Efficacy for energy psychology protocols has been established in more than 120 clinical trials, with meta-analyses showing strong effect sizes for PTSD, anxiety, and depression. The approach has been applied in the wake of natural and human-made disasters in more than 30 countries. Four tiers of energy psychology interventions following the establishment of safety, trust, and rapport are described, including (1) immediate relief/stabilization, (2) reducing limbic arousal to trauma-based triggers, (3) overcoming complex psychological difficulties, and (4) promoting optimal functioning. The first tier is most pertinent in psychological first aid immediately following a disaster, with the subsequent tiers progressively being introduced over time with complex stress reactions and chronic disorders. Advantages of adding the stimulation of acupuncture points to a conventional exposure approach are identified, and challenges around cultural sensitivities and unintended effects are discussed. After establishing a framework for introducing energy psychology in disaster relief efforts, reports from a sampling of settings are presented, based on interviews with this paper’s author. These include accounts of relief work with survivors of mass shootings, genocide, ethnic warfare, earthquakes, hurricanes, tornadoes, floods, wildfires, and the COVID-19 pandemic. Hundreds of other reports from the field show a pattern of strong outcomes following the use of energy psychology in the days or weeks after a disaster and in the subsequent treatment of trauma-based psychological problems. Many of these accounts corroborate one another in terms of rapid relief and long-term benefits. Finally, examples of more efficient delivery methods utilizing large groups, lay counselors, digital technology, and cultivating community resilience are presented.
The outdoor thermal comfort of urban residents is negatively affected by heatwaves that are becoming more frequent and severe with the ongoing climate crisis. As such, the assessment of outdoor perception and comfort during heatwaves has become an important ingredient of successful urban adaptation strategies. However, systematic assessment of long-term thermal perception across a large number of places and large populations of people is difficult. In this study, we consider an approach to the assessment of long-term thermal perception that combines features of currently used approaches (i.e., use of rating scales of thermal perception, use of surveys, and the use of photographs representing places) and we provide some preliminary validation of this approach. Specifically, across three studies conducted in two Czech cities, we show that long-term thermal perceptions for a large sample of 1,856 urban places can be elicited in a large sample of city residents (total N = 1,812) using rating scales in off-site surveys complemented with visual representations of the target locations. In Studies 1 and 2, we partially validate this approach by showing that such long-term thermal perceptions can be traced back to average surface temperature, sky-view factor, and the presence of blue and green infrastructure, all factors that the literature relates to thermal perception. Moreover, we show evidence that observers can reliably glean these properties from the visual representation of places. In Study 3, we provide additional evidence of the predictive validity of such long-term thermal perceptions by showing that they predict place-related activities (waiting and walking) and the place preference of other people more than one year later. Thus, this approach to the measurement of long-term thermal perception related to heatwaves can be a useful addition to currently used approaches.
Background: Variable environmental temperature changes have affected different population groups; however, limited empirical studies in nursing have focused on older adults. One of the most pressing issues of today is climate change, where nurses should explore and advance their roles.Objective: This study aimed to explore and describe the experience of older adults with temperature variations as a consequence of climate change and its impact on mental health. Methods: Descriptive phenomenological approach was used in this study. Purposeful sampling was used in selecting key informants, while individual telephone interviews and videoconferencing platforms using a semi-structured interview guide were used as the data gathering method to gather key informants’ accounts of their experiences. Prior to data collection, authors bracket their preconceived beliefs and values regarding the phenomenon at hand. Colaizzi’s seven-step method of data analysis combined with the use of qualitative data analysis software was used to develop the themes and sub-themes.Results: Eleven key informants aged 60-77 participated in this study. Sixty significant statements on temperature variations and mental health were extracted, while forty-one meanings were formulated from the significant statements. Important meanings were grouped into a cluster of themes which built the three major themes and seven sub-themes. The major themes are Theme 1: Active recollection and recognition of their experience; Theme 2: Symptoms of physical, social, mental, and cognitive aspects transformation; and Theme 3: Establishing adaptive mechanisms. The themes reflect a mental or cognitive process of recognizing and understanding their experiences, experiencing their impacts, developing adaptive mechanisms, and showing characteristics of resilience.Conclusion: The themes and sub-themes developed in this study showed that despite their vulnerability, older adults were able to implement adaptive mechanisms and showed signs of resiliency. Temperature variations brought limitations or adjustments to the physical, social, mental, and cognitive aspects of the key informants. Further studies should be conducted in other population groups and various geographical locations to identify sources of adaptive mechanisms and resilience to temperature variations and climate change among older adults. The findings should be used in developing health programs and crafting policies.
Dengue is a re-emerging neglected disease of major public health importance. This review highlights important considerations for dengue disease in Africa, including epidemiology and underestimation of disease burden in African countries, issues with malaria misdiagnosis and co-infections, and potential evidence of genetic protection from severe dengue disease in populations of African descent. The findings indicate that dengue virus prevalence in African countries and populations may be more widespread than reported data suggests, and that the Aedes mosquito vectors appear to be increasing in dissemination and number. Changes in climate, population, and plastic pollution are expected to worsen the dengue situation in Africa. Dengue misdiagnosis is also a problem in Africa, especially due to the typical non-specific clinical presentation of dengue leading to misdiagnosis as malaria. Finally, research suggests that a protective genetic component against severe dengue exists in African descent populations, but further studies should be conducted to strengthen this association in various populations, taking into consideration socioeconomic factors that may contribute to these findings. The main takeaway is that Africa should not be overlooked when it comes to dengue, and more attention and resources should be devoted to this disease in Africa.
Climatic variability has been acquiring an extensive consideration due to its widespread ability to impact food production and livelihoods. Climate change has the potential to intersperse global approaches in alleviating hunger and undernutrition. It is hypothesized that climate shifts bring substantial negative impacts on food production systems, thereby intimidating food security. Vast developments have been made addressing the global climate change, undernourishment, and hunger for the last few decades, partly due to the increase in food productivity through augmented agricultural managements. However, the growing population has increased the demand for food, putting pressure on food systems. Moreover, the potential climate change impacts are still unclear more obviously at the regional scales. Climate change is expected to boost food insecurity challenges in areas already vulnerable to climate change. Human-induced climate change is expected to impact food quality, quantity, and potentiality to dispense it equitably. Global capabilities to ascertain the food security and nutritional reasonableness facing expeditious shifts in biophysical conditions are likely to be the main factors determining the level of global disease incidence. It can be apprehended that all food security components (mainly food access and utilization) likely be under indirect effect via pledged impacts on ménage, incomes, and damages to health. The corroboration supports the dire need for huge focused investments in mitigation and adaptation measures to have sustainable, climate-smart, eco-friendly, and climate stress resilient food production systems. In this paper, we discussed the foremost pathways of how climate change impacts our food production systems as well as the social, and economic factors that in the mastery of unbiased food distribution. Likewise, we analyze the research gaps and biases about climate change and food security. Climate change is often responsible for food insecurity issues, not focusing on the fact that food production systems have magnified the climate change process. Provided the critical threats to food security, the focus needs to be shifted to an implementation oriented-agenda to potentially cope with current challenges. Therefore, this review seeks to have a more unprejudiced view and thus interpret the fusion association between climate change and food security by imperatively scrutinizing all factors.
Background Effective and efficient use of operating theatres is essential to the smooth running of a trauma service. The paper aims to understand the effect of meteorological factors on the number of referrals and volume and nature of trauma operating cases within our local area. Methods Trauma data over two seasons were analysed in our database, a digital clinical platform that coordinates all admissions and trauma theatre activity. Data consisted of the number of referrals per day, patient age, mechanism of injury, and type of orthopaedic injury. Weather data were gathered from ‘Weather Underground’, https://www.wunderground.com/history, which records daily weather observations, located 12 miles away from our trauma unit. Results During the study period’s last two seasons, 1160 consultations were analysed and 779 required operative intervention. The neck of femur fractures and ankle trauma were the two most common causes of trauma, accounting for 27% and 15%, respectively. The neck of femur fracture pathologies were not significantly correlated with any meteorological factor studied. On the contrary, ankle trauma was the only injury significantly correlating with temperature (p < 0.03) and dew point (p < 0.04). The most common mechanism of trauma was a ground-level fall (n = 590) whilst the least common was a motor vehicle accident (n = 39). Analysing the effect of weather and its effect on the age group of presentation, temperature (p < 0.01), sunlight (p < 0.002), and dew point (p < 0.03) were all significantly correlated with trauma in patients aged younger than 21 years of age. Conclusion The weather has no effect on the neck of femur fractures, the most common trauma pathology treated in our department. In all seasons, allocated specific trauma lists for the latter should be arranged irrelevant of the weather conditions. A strong correlation was identified between ankle trauma and weather. We identified that Tuesdays and Fridays received the highest referral rate and peaked between the months of October-November. These data lay the groundwork for local clinical directors to shape the future on-call trauma service.
BACKGROUND: Climate change is already affecting Aotearoa New Zealand (Aotearoa-NZ). The public health effects are varied and complex, and rural primary care staff will be at the front line of effects and responses. However, little is known about their understanding and experience. OBJECTIVES: To determine understanding, experiences and preparedness of rural general practice staff in Aotearoa-NZ about climate change and health equity. METHODS: A mixed-methods national cross-sectional survey of rural general practice staff was undertaken that included Likert-style and free-text responses. Quantitative data were analysed with simple descriptive analysis and qualitative data were thematically analysed using a deductive framework based on Te Whare Tapa Whā. RESULTS: A proportion of survey respondents remained unsure about climate science and health links, although many others already reported a range of negative climate change health impacts on their communities, and expected these to worsen. Twenty to thirty percent of respondents lacked confidence in their health service’s capability to provide support following extreme weather. Themes included acknowledgement that the health effects of climate change are highly varied and complex, that the health risks for rural communities combine climate change and wider environmental degradation and that climate change will exacerbate existing health inequities. CONCLUSIONS: The study adds to sparse information on climate change effects on health in rural primary care. We suggest that tailored professional education on climate change science and rural health equity is still needed, while urgent resourcing and training for interagency disaster response within rural and remote communities is needed.
BACKGROUND: Exposure to extreme temperatures is associated with increased emergency department (ED) presentations. The resulting burden on health service costs and the potential impact of climate change is largely unknown. This study examines the temperature-EDs/cost relationships in Adelaide, South Australia and how this may be impacted by increasing temperatures. METHODS: A time series analysis using a distributed lag nonlinear model was used to explore the exposure-response relationships. The net-attributable, cold-attributable and heat-attributable ED presentations for temperature-related diseases and costs were calculated for the baseline (2014-2017) and future periods (2034-2037 and 2054-2057) under three climate representative concentration pathways (RCPs). RESULTS: The baseline heat-attributable ED presentations were estimated to be 3600 (95% empirical CI (eCI) 700 to 6500) with associated cost of $A4.7 million (95% eCI 1.8 to 7.5). Heat-attributable ED presentations and costs were projected to increase during 2030s and 2050s with no change in the cold-attributable burden. Under RCP8.5 and population growth, the increase in heat-attributable burden would be 1.9% (95% eCI 0.8% to 3.0%) for ED presentations and 2.5% (95% eCI 1.3% to 3.7%) for ED costs during 2030s. Under the same conditions, the heat effect is expected to increase by 3.7% (95% eCI 1.7% to 5.6%) for ED presentations and 5.0% (95% eCI 2.6% to 7.1%) for ED costs during 2050s. CONCLUSIONS: Projected climate change is likely to increase heat-attributable emergency presentations and the associated costs in Adelaide. Planning health service resources to meet these changes will be necessary as part of broader risk mitigation strategies and public health adaptation actions.
The past years were marked by the COVID-19 pandemic, economic downfall, the 5th anniversary of the Paris Climate Agreement, and the end of the African Women’s Decade. According to the latest projections, African countries will continue to face increasing inequalities, as well as risks to human health, water and food security, due to climate change. African countries are also struggling to reduce gender-related power imbalances in adaptation and mitigation that magnify existing vulnerabilities, particularly those of women. Therefore, any advances made in this narrative are significant. This paper investigates the needs and potential for gender-balanced leadership/empowerment in adaptation and mitigation based on climate change experts’ views on the advances made in Africa. This is complemented by a bibliometric analysis of the literature published on the topic between the years 2015 and 2022. The study suggests that although women’s influence on climate change related decisions is growing, a series of barriers need to be overcome, among which are lack of knowledge and political will. The COVID-19 pandemic is seen as having both positive and negative potentials for gender-balanced leadership/empowerment. The findings provide a premise for identifying possible directions of further actions towards gender-balanced leadership/empowerment in climate change in African countries.
As the effects of climate change become more visible, extreme weather events are becoming more common. The effects of flooding on health are understood but the long-term impact on the well-being of those affected need to be considered. This mixed methods secondary analysis of a cross-sectional survey examined the extent to which being flooded in the past is associated with ongoing concerns about flooding. Survey data were collected from residents in Hull 11 years after the initial flooding event. Respondents were asked about the floods in 2007 and their current level of concern about flooding. Ordinal logistic regression explored the effect of age and tenancy status as predictors of current concern. Textual data were analyzed using thematic content analysis. Responses were received from 457 households, of whom 202 (48%) were affected by flooding in 2007. A fifth of respondents were very concerned about future flooding. Those who were not flooded were significantly less concerned about the risk of future flooding (U = 33391.0, z = 5.89, p < 0.001). Those who reported negative health and wellbeing effects from the floods were significantly more concerned about future flooding than those whose health was not affected (U = 7830.5, z = 4.43, p < 0.001). Whilst some residents were reassured by the introduction of new flood alleviation schemes, others did not feel these were adequate, and worried about the impact of climate change. The financial and emotional impacts of the floods still resonated with families 11 years after the event, with many fearing they would not cope if it happened again. Despite the 2007 floods in Hull happening over a decade ago, many of those affected continue to experience high levels of anxiety when storms are forecast. Residents feel powerless to protect themselves, and many remain unconvinced by the presence of new flood alleviation schemes. However, with the ongoing threat of climate change, it may be that other residents are unrealistic in their expectation to be 'protected' from flood events. Therefore, public health agencies need to be able to mobilize organizations to come together to pro-actively support families affected by flooding, to ensure those in need do not fall through the gaps of public healthcare delivery.
BACKGROUND: Knowledge about climate change may produce anxiety, but the concept of climate change anxiety is poorly understood. The primary aim of this study was to systematically review the qualitative literature regarding the scope of anxiety responses to climate change. The secondary aim was to investigate the sociodemographic and geographical factors which influence experiences of climate change anxiety. METHODS: A systematic review of empirical qualitative studies was undertaken, examining the scope of climate change anxiety by searching five databases. Studies were critically appraised for quality. Content analysis was used to identify themes. RESULTS: Fifteen studies met the inclusion criteria. The content analysis was organised into two overarching themes. The scope of anxiety included worry about threats to livelihood, worry for future generations, worry about apocalyptic futures, anxiety at the lack of response to climate change, and competing worries. Themes pertaining to responses to climate change anxiety included symptoms of anxiety, feeling helpless and disempowered, and ways of managing climate change anxiety. Relatively few studies were identified, with limited geographical diversity amongst the populations studied. CONCLUSIONS: The review furthers understanding of the concept of climate change anxiety and responses to it, highlighting the need for high-quality psychiatric research exploring its clinical significance and potential interventions.
Increasingly people, especially those residing in urban areas with the urban heat island effect, are getting exposed to extreme heat due to ongoing global warming. A number of methods have been developed, so far, to assess urban heat vulnerability in different locations across the world concentrating on diverse aspects of these methods. While there is growing literature, thorough review studies that compare, contrast, and help understand the prospects and constraints of urban heat vulnerability assessment methods are scarce. This paper aims to bridge this gap in the literature. A systematic literature review with the preferred reporting items for systematic reviews and meta-analyses (PRISMA) approach is utilized as the methodological approach. PRISMA is an evidence-based minimum set of items for reporting in systematic reviews and meta-analyses. The results are analyzed in three aspects-i.e., indicators and data, modelling approaches, and validation approaches. The main findings disclose that: (a) Three types of indicators are commonly used-i.e., demographic properties and socioeconomic status, health conditions and medical resources, and natural and built environmental factors; (b) Heat vulnerability indexing models, equal weighting method, and principal component analysis are commonly used in modelling and weighting approaches; (c) Statistical regressions and correlation coefficients between heat vulnerability results and adverse health outcomes are commonly used in validation approaches, but the performance varies across studies. This study informs urban policy and generates directions for prospective research and more accurate vulnerability assessment method development.
BACKGROUND: Climate change has been shown to have long-term effects on mental health, yet, to date, there have been few studies on how children and adolescents experience and respond to ecological changes and how and why they engage in climate action. We explored empirically young people’s views about climate change and how distinct cultural contexts influence individual climate action. METHODS: We invited children and adolescents (ages 7 to 18) and their caregivers from the general population in the United States and France to participate in semi-structured focus groups. We recruited 74 participants, 39 in the U.S. (33 children and adolescents, 6 parents) and 35 in France (32 children and adolescents, 3 parents). Focus groups with participants centered on their emotions, beliefs, and actions around climate change. We analyzed the focus group data and developed themes via grounded theory and symbolic interactionist approaches. RESULTS: Many participants described experiencing anger, hopelessness, guilt, and sadness in response to climate change, and a smaller number endorsed significant anxiety symptoms; many described frustration about needing to fix the mistakes of earlier generations. Younger participants frequently misunderstood the purpose of their parents’ eco-conscious behaviors unless they were provided with age-appropriate explanations. Participants described a spectrum of experiences when trying to discuss climate change with peers and family, ranging from genuine support to apathy to hostility. Between the two samples, U.S. participants experienced more conflict with adults about climate change than French participants, but French participants described a greater lack of political agency compared to U.S. PARTICIPANTS: Participants in both samples expressed a relatively balanced view of climate action, recognizing the significance of individual actions while acknowledging the limits of their power in the face of systemic issues. Some found hope and empowerment through climate action and building communities around it. CONCLUSION: Discussing with children and adolescents what adults are doing to mitigate climate change can provide reassurance, model prosocial behaviors, and inspire their own investment in climate action. Adults seeking to support the psychological well-being of young people should both support their concerns and actions around climate change and create avenues for young people to meaningfully engage in climate action.
BACKGROUND: Leptospirosis infection can lead to serious renal and cardiopulmonary complications and can be fatal. Following heavy rainfall and localised flooding in early 2021, Tropical Public Health Services in Cairns were alerted to an increase in leptospirosis cases in the region, with notifications almost three times higher than usual by mid-February. An epidemiological investigation was undertaken. METHODS: Leptospirosis notification data were obtained from the Queensland Notifiable Conditions System. Confirmed and probable cases residing in the Cairns region, with an onset date between 1 January and 31 May 2021, were included in the investigation. Case demographics, pathology results, symptoms, hospital stay information and presumed exposure sources were obtained from Queensland Health records; local rainfall data was obtained from the Australian Bureau of Meteorology. Case characteristics and rainfall were compared to the prior ten-year period and the distribution of cases by week of onset, address, exposure source and infecting serovar analysed. RESULTS: A total of 43 leptospirosis cases were notified between January and May 2021, the highest number recorded for the region since 2011. Presumed exposure sources were available for 40 cases (93.0%), with 33 cases (82.5%) exposed occupationally, including 25 cases working on banana farms. Infecting Leptospira serovars were identified for five cases (11.6%), with four infected with serovar Australis and one with serovar Zanoni. Limited information about the specific exposure sites for each case and a low serovar detection rate hampered the ability to confirm the presence or absence of a leptospirosis outbreak. While heavy rainfall is likely to have contributed to the spike in cases, no factors were identified as clearly associated with the increase. CONCLUSIONS: A number of pathways are proposed to improve the collection of exposure site data and the identification of infecting serovars, in order to strengthen local leptospirosis surveillance and the ability to detect outbreaks in the Cairns region.
The assessment of the impact of meteorological factors on the epidemiology of various diseases and on human pathophysiology and physiology requires a comprehensive approach and new tools independent of currently occurring climate change. The thermal comfort index, i.e., Universal Climate Thermal Index (UTCI), is gaining more and more recognition from researchers interested in such assessments. This index facilitates the evaluation of the impact of cold stress and heat stress on the human organism and the assessment of the incidence of weather-related diseases. This work aims at identifying those areas of medical science for which the UTCI was applied for scientific research as well as its popularization among clinicians, epidemiologists, and specialists in public health management. This is a systematic review of literature found in Pubmed, Sciencedirect and Web of Science databases from which, consistent with PRISMA guidelines, original papers employing the UTCI in studies related to health, physiological parameters, and epidemiologic applications were extracted. Out of the total number of 367 papers identified in the databases, 33 original works were included in the analysis. The selected publications were analyzed in terms of determining the areas of medical science in which the UTCI was applied. The majority of studies were devoted to the broadly understood mortality, cardiac events, and emergency medicine. A significant disproportion between publications discussing heat stress and those utilizing the UTCI for its assessment was revealed.
Anthropocentric activities have induced climate change, threatened planetary health, and harmed human health and wellness. The changing lifestyles, dietary patterns and digital obsession have affected the mental and physical health, particularly of the youth. University campuses reflect the challenges faced by the society at large and therefore make for an ideal ecosystem to initiate positive changes toward wellness and sustainability. The energy of ~200 million university students globally is largely unleveraged for facing these challenges. Values of empathy and sustainable living are crucial to be inculcated, alongside technical and managerial skills for leading the mass transformation. This article describes a novel pedagogic approach called the University Wellness Program (UWP). The aim of UWP is to equip students with technical and leadership skills to achieve wellness and campus sustainability. That is, UWP is a platform that facilitates the students to design and implement multi-disciplinary projects that address campus related challenges. In the process, they acquire the necessary soft and technical skills to solve real-life problems. The durability of UWP is secured since the projects and activities are explicitly linked to existing curricula and evaluation system of the university. The strategy and framework adopted, and the early experiences of implementing UWP are shared. UWP is amenable for replication globally and has the potential to create change-makers.
Leptospirosis is a neglected waterborne zoonosis of growing concern in tropical and low-income regions. Endemic in Southeast Asia, its distribution and environmental factors such as climate controlling its dynamics remain poorly documented. In this paper, we investigate for the first time the current and future leptospirosis burden at a local scale in mainland Southeast Asia. We adjusted machine-learning models on incidence reports from the Thai surveillance system to identify environmental determinants of leptospirosis. The explanatory variables tested in our models included climate, topographic, land cover and soil variables. The model performing the best in cross-validation was used to estimate the current incidence regionally in Thailand, Myanmar, Cambodia, Vietnam and Laos. It then allowed to predict the spatial distribution of leptospirosis future burden from 2021 to 2100 based on an ensemble of CMIP6 climate model projections and 4 Shared Socio-economics Pathways ranging from the most optimistic to the no-climate policy outcomes (SSP1-2.6, SSP2-4.5, SSP3-7.0 and SSP5-8.5). Leptospirosis incidence was best estimated by 10 environmental variables: four landscape-, four rainfall-, two temperature-related variables. Of all tested scenario, the worst-case scenario of climate change (SSP5-8.5) surprisingly appeared as the best-case scenario for the future of leptospirosis since it would induce a significant global decline in disease incidence in Southeast Asia mainly driven by the increasing temperatures. These global patterns are however contrasted regionally with some regions showing increased incidence in the future. Our work highlights climate and the environment as major drivers of leptospirosis incidence in Southeast Asia. Applying our model to regions where leptospirosis is not routinely monitored suggests an overlooked burden in the region. As our model focuses on leptospirosis responses to environmental drivers only, some other factors, such as poverty, lifestyle or behavioral changes, could further influence these estimated future patterns.
In April 2022, the Intergovernmental Panel on Climate Change stated clearly that without immediate and deep reductions in greenhouse gas emissions, it would be impossible to limit global temperature rise to 1.5 °C above pre-industrial levels. A growing body of research shows an increasing reaction to witnessing or experiencing current climate impacts and concern regarding apparent inaction in response, manifests as negative cognitive, emotional, and behavioural responses, including eco-anxiety. This commentary contends that nature-based activities (NBAs) have a potentially important, but currently neglected, role to play in supporting those experiencing eco-anxiety. However, existing research limitations hinder their adoption in the United Kingdom’s social prescribing agenda and they remain a largely untapped therapeutic resource that need to be mainstreamed into clinical and social care provision. The paper calls for investment in research that advances our understanding of the individual and community benefits of NBAs, the longevity of their impact, and their associated, comparative and opportunity costs.
Heatstroke is a serious heat-related illness that can even cause death. Heat alert systems play an important role in reducing the number of patients experiencing heat illness, as they encourage preventive actions such as the use of air conditioning, hydration, or other strategies. However, to date, the Japanese hazard classification has not considered seasonal and regional variations, despite clear differences in meteorological conditions across different regions in Japan. Moreover, several studies have reported a difference in thermoregulation between older and younger adults, implying that the hazard classification should also consider age differences. This study examined the relationship between the number of ambulance dispatches related to heat illness (ADRHI) and the Japanese heat hazard classification from 2010 to 2019, focusing on monthly and regional differences. Data from 47 prefectures during the 10-year period were collected and analyzed. ADRHI and wet bulb globe temperature (WBGT) data were collected from Japan’s Ministry of Internal Affairs and Communications and the Ministry of the Environment Heat Illness Prevention Information website, respectively. The findings showed a significant relationship between ADRHI and WBGTmax (p < 0.05, r = 0.74). ADRHI per 100,000 people showed significant differences across months. The post hoc test detected the first steep increase in ADRHI at a WBGTmax of 23°C than at 22°C in June, and at a WBGTmax of 26°C, 27°C, and 25°C in July, August, and September, respectively. Moreover, the first significant increase in ADRHI per 100,000 people at WBGTmax differed across each region, at a WBGTmax of 24°C in Hokkaido-Tohoku, 25°C in Kanto, Kansai, and Chugoku, 26°C in Chubu, 27°C in Shikoku, and 28°C in Kyushu-Okinawa. Further, Poisson regression analysis revealed that the relative risks differed across each region and month. These results imply that the hazard classification should be adjusted according to region and month in Japan.
Exposure to non-optimal temperatures remains the single most deathful direct climate change impact to health. The risk varies based on the adaptation capacity of the exposed population which can be driven by climatic and/or non-climatic factors subject to fluctuations over time. We investigated temporal changes in the exposure-response relationship between daily mean temperature and mortality by cause of death, sex, age, and ethnicity in the megacity of São Paulo, Brazil (2000-2018). We fitted a quasi-Poisson regression model with time-varying distributed-lag non-linear model (tv-DLNM) to obtain annual estimates. We used two indicators of adaptation: trends in the annual minimum mortality temperature (MMT), i.e., temperature at which the mortality rate is the lowest, and in the cumulative relative risk (cRR) associated with extreme cold and heat. Finally, we evaluated their association with annual mean temperature and annual extreme cold and heat, respectively to assess the role of climatic and non-climatic drivers. In total, we investigated 4,471,000 deaths from non-external causes. We found significant temporal trends for both the MMT and cRR indicators. The former was decoupled from changes in AMT, whereas the latter showed some degree of alignment with extreme heat and cold, suggesting the role of both climatic and non-climatic adaptation drivers. Finally, changes in MMT and cRR varied substantially by sex, age, and ethnicity, exposing disparities in the adaptation capacity of these population groups. Our findings support the need for group-specific interventions and regular monitoring of the health risk to non-optimal temperatures to inform urban public health policies.
In Australia, tropospheric ozone measurements in rural locations are scarce with measurements mostly made in cities. This limits the ability to estimate background ozone levels that inform policy development. The few studies that have assessed rural ozone in Australia have been associated with short campaign monitoring or specific, short-term research programs. Recognising this deficit of information, the New South Wales Government has established long-term ozone monitoring at two rural locations. This paper presents results from the first three years of monitoring at Gunnedah. We assess seasonal, diurnal and sectoral patterns of ozone. Several events are analysed, including high ozone associated with the 2019/20 Australian Bushfire Emergency and an extreme heatwave event. We find that ozone levels at Gunnedah exceed the screening standards set by Australia’s National Environmental Protection (Ambient Air Quality) Measure, emphasising the need for additional ozone monitoring in rural and regional Australia. Our early results indicate that in NSW, background ozone mixing ratios for airmasses of continental origin is likely in the range of 36-39 ppb, higher than the 14-30 ppb associated with air masses of marine origin and greater than the 30 ppb background mixing ratio used for monitoring design and standard setting in Australia. Maximum 8-hourly ozone in non-bushfire impacted events is as high as 64 ppb, demonstrating the challenges that rural/regional communities may face in always meeting the new Australian 8-h ozone standard of 65 ppb. These results add to our understanding of rural background ozone within Australia and in the southern hemisphere.
OBJECTIVES: Dry powder inhalers (DPIs) and soft mist inhalers have a substantially lower global warming potential than pressurised metered-dose inhalers (pMDIs). To help mitigate climate change, we assessed the potential emission reduction in CO(2) equivalents when replacing pMDIs by non-propellant inhalers (NPIs) in Dutch respiratory healthcare and estimated the associated cost. DESIGN: We performed a descriptive analysis of prescription data from two national databases of two independent governmental bodies. First, we calculated the number of patients with chronic obstructive pulmonary disease (COPD) and asthma that were using inhalation medication (2020). Second, we calculated the number and total of daily defined doses of pMDIs and NPIs including DPIs and soft mist inhalers, as well as the number of dispensed spacers per patient (2020). Third, we estimated the potential emission reduction in CO(2) equivalents if 70% of patients would switch from using pMDIs to using NPIs. Fourth, we performed a budget impact analysis. SETTING: Dutch respiratory healthcare. PRIMARY AND SECONDARY OUTCOME MEASURES: The carbon footprint of current inhalation medication and the environmental and financial impact of replacing pMDIs with NPIs. RESULTS: In 2020, 1.4 million patients used inhalers for COPD or asthma treatment. A total of 364 million defined daily doses from inhalers were dispensed of which 49.6% were dispensed through pMDIs. We estimated that this could be reduced by 70% which would lead to an annual reduction in greenhouse gas emission of 63 million kg.CO2 equivalents saving at best EUR 49.1 million per year. CONCLUSIONS: In the Netherlands, substitution of pMDIs to NPIs for eligible patients is theoretically safe and in accordance with medical guidelines, while reducing greenhouse gas emission by 63 million kg.CO2 equivalents on average and saving at best EUR 49.1 million per year. This study confirms the potential climate and economic benefit of delivering a more eco-friendly respiratory care.
This article presents outcomes from a Workshop entitled “Bioarchaeology: Taking Stock and Moving Forward,” which was held at Arizona State University (ASU) on March 6-8, 2020. Funded by the National Science Foundation (NSF), the School of Human Evolution and Social Change (ASU), and the Center for Bioarchaeological Research (CBR, ASU), the Workshop’s overall goal was to explore reasons why research proposals submitted by bioarchaeologists, both graduate students and established scholars, fared disproportionately poorly within recent NSF Anthropology Program competitions and to offer advice for increasing success. Therefore, this Workshop comprised 43 international scholars and four advanced graduate students with a history of successful grant acquisition, primarily from the United States. Ultimately, we focused on two related aims: (1) best practices for improving research designs and training and (2) evaluating topics of contemporary significance that reverberate through history and beyond as promising trajectories for bioarchaeological research. Among the former were contextual grounding, research question/hypothesis generation, statistical procedures appropriate for small samples and mixed qualitative/quantitative data, the salience of Bayesian methods, and training program content. Topical foci included ethics, social inequality, identity (including intersectionality), climate change, migration, violence, epidemic disease, adaptability/plasticity, the osteological paradox, and the developmental origins of health and disease. Given the profound changes required globally to address decolonization in the 21st century, this concern also entered many formal and informal discussions.
PURPOSE OF REVIEW: The US Navy has a long history of responding to disasters around the globe. US Navy ships have unique characteristics and capabilities that determine their capacity for a disaster response. This paper discusses common considerations and lessons learned from three distinct disaster missions. RECENT FINDINGS: The 2010 earthquake in Haiti had a robust response with multiple US Navy ship platforms. It was best assessed in three phases: an initial mass casualty response, a subacute response, and a humanitarian response. The 2017 response to Hurricane Maria had a significant focus on treating patients with acute needs secondary to chronic illnesses to decrease the burden on the local healthcare system. The COVID-19 response brought distinctive challenges as it was the first mission where hospital ships were utilized in an infectious disease deployment. SUMMARY: The first ships to respond to a disaster will need to focus on triage and acute traumatic injury. After this first phase, the ship’s medical assets will need to focus on providing care in a disrupted health care system which most often includes acute exacerbations of chronic disease. Surgeons must be ready to be flexible in their responsibilities, be competent with end-of-life care, and negotiate technical and cultural communication challenges.
Massive urbanization and increasing disposable incomes favor a rapid transition in diets and lifestyle in sub-Saharan Africa (SSA). As a result, the SSA population is becoming increasingly vulnerable to the double burden of malnutrition and obesity. This, combined with the increasing pressure to produce sufficient food and provide employment for this growing population together with the threat of climate change-induced declining crop yields, requires urgent sustainable solutions. Can an increase in the cultivation of climate-resilient crops (CRCs) and their utilization to produce attractive, convenient and nutritious bread products contribute to climate change adaptation and healthy and sustainable diets? A food system analysis of the bread food value chain in SSA indicates that replacement of refined, mostly imported, wheat in attractive bread products could (1) improve food and nutrition security, (2) bring about a shift to more nutritionally balanced diets, (3) increase economic inclusiveness and equitable benefits, and (4) improve sustainability and resilience of the food system. The food system analysis also provided systematic insight into the challenges and hurdles that need to be overcome to increase the availability, affordability and uptake of CRCs. Proposed interventions include improving the agronomic yield of CRCs, food product technology, raising consumer awareness and directing policies. Overall, integrated programs involving all stakeholders in the food system are needed.
Climate-induced changes will become an increasingly important factor in development patterns and where people choose to live. Assisting residents as they make decisions about staying and whether or if to move, and where to go, will become a critical dimension of climate adaptation policy. Using global cases of relocation initiatives, this article examines how adaptive relocation policy can facilitate community-led opportunities for frontline communities-communities of color and those with lower incomes-as people move from and stay in risky environments. It then summarizes factors to consider when designing relocation initiatives to lead to outcomes that improve people’s well-being.
Biodiesel is created through the transesterification of fats/oils and its usage is increasing worldwide as global warming concerns increase. Biodiesel fuel properties change depending on the feedstock used to create it. The aim of this study was to assess the different toxicological properties of biodiesel exhausts created from different feedstocks using a complex 3D air-liquid interface (ALI) model that mimics the human airway. Primary human airway epithelial cells were grown at ALI until full differentiation was achieved. Cells were then exposed to 1/20 diluted exhaust from an engine running on Diesel (ULSD), pure or 20% blended Canola biodiesel and pure or 20% blended Tallow biodiesel, or Air for control. Exhaust was analysed for various physio-chemical properties and 24-h after exposure, ALI cultures were assessed for permeability, protein release and mediator response. All measured exhaust components were within industry safety standards. ULSD contained the highest concentrations of various combustion gases. We found no differences in terms of particle characteristics for any of the tested exhausts, likely due to the high dilution used. Exposure to Tallow B100 and B20 induced increased permeability in the ALI culture and the greatest increase in mediator response in both the apical and basal compartments. In contrast, Canola B100 and B20 did not impact permeability and induced the smallest mediator response. All exhausts but Canola B20 induced increased protein release, indicating epithelial damage. Despite the concentrations of all exhausts used in this study meeting industry safety regulations, we found significant toxic effects. Tallow biodiesel was found to be the most toxic of the tested fuels and Canola the least, both for blended and pure biodiesel fuels. This suggests that the feedstock biodiesel is made from is crucial for the resulting health effects of exhaust exposure, even when not comprising the majority of fuel composition.
BACKGROUND: In the past decades, climate change has been impacting human lives and health via extreme weather and climate events and alterations in labour capacity, food security, and the prevalence and geographical distribution of infectious diseases across the globe. Climate change and health indicators (CCHIs) are workable tools designed to capture the complex set of interdependent interactions through which climate change is affecting human health. Since 2015, a novel sub-set of CCHIs, focusing on climate change impacts, exposures, and vulnerability indicators (CCIEVIs) has been developed, refined, and integrated by Working Group 1 of the “Lancet Countdown: Tracking Progress on Health and Climate Change”, an international collaboration across disciplines that include climate, geography, epidemiology, occupation health, and economics. DISCUSSION: This research in practice article is a reflective narrative documenting how we have developed CCIEVIs as a discrete set of quantifiable indicators that are updated annually to provide the most recent picture of climate change’s impacts on human health. In our experience, the main challenge was to define globally relevant indicators that also have local relevance and as such can support decision making across multiple spatial scales. We found a hazard, exposure, and vulnerability framework to be effective in this regard. We here describe how we used such a framework to define CCIEVIs based on both data availability and the indicators’ relevance to climate change and human health. We also report on how CCIEVIs have been improved and added to, detailing the underlying data and methods, and in doing so provide the defining quality criteria for Lancet Countdown CCIEVIs. CONCLUSIONS: Our experience shows that CCIEVIs can effectively contribute to a world-wide monitoring system that aims to track, communicate, and harness evidence on climate-induced health impacts towards effective intervention strategies. An ongoing challenge is how to improve CCIEVIs so that the description of the linkages between climate change and human health can become more and more comprehensive.
Today’s climate-turbulent world is rife with food insecurity-threatening economic development trajectories by stunting growth, subsequently reducing employability and labor productivity, especially for developing countries. The pandemic has exacerbated these adverse effects and reveals the critical need to put in place policies that can safeguard and sustain trade flows in agricultural products. For the vast majority of countries, food security cannot be guaranteed by domestic production alone. If certain crops are domestically untenable or yields are temporarily poor, imports are essential. Additionally, exports of agricultural products provide a major source of income for some of the poorest people around the world. This article explores the interplay between climate change, the production and the trade of agricultural products, and the resulting food security implications. It then examines the existing trade policies governing agricultural trade and provides recommendations for action at the global, regional, and country levels.
The annual death statistics due to vector-borne diseases transmitted by Aedes mosquitoes cause a still growing concern for the public health in the affected regions. An improved understanding of how climatic and population changes impact the spread of Aedes aegypti will help estimate the future populations exposure and vulnerability, and is essential to the improvement of public health preparedness. We apply an empirically well-investigated process-based mathematical model based on the life cycle of the mosquito to assess how climate scenarios (Representative Concentration Pathways (RCP)) and population scenarios (Shared Socioeconomic Pathways (SSP)) will affect the growth and potential distribution of this mosquito in China. Our results show that the risk area is predicted to expand considerably, increasing up to 21.46% and 24.75% of China’s land area in 2050 and 2070, respectively, and the new added area lies mainly in the east and center of China. The population in the risk area grows substantially up to 2050 and then drops down steadily. However, these predicted changes vary noticeably among different combinations between RCPs and SSPs with the RCP2.6*SSP4 yielding the most favorable scenario in 2070, representing approximately 14.11% of China’s land area and 113 cities at risk, which is slightly lower compared to 2019. Our results further reveal that there is a significant trade-off between climatic and human population impacts on the spreading of Aedes aegypti, possibly leading to an overestimation (underestimation) in sparsely (densely) populated areas if the populations impact on the mosquito’s life history is unaccounted for. These results suggest that both climate and population changes are crucial factors in the formation of the populations exposure to Aedes-borne virus transmission in China, however, a reduced population growth rate may slow down the spread of this mosquito by effectively counteracting the climate warming impacts.
Providing affordable access to enough healthy and safe food for an ever-more-affluent and growing world population has become more challenging in the face of climate change, rising income inequality and a more uncertain global trade environment. Agriculture is expected to contribute more, but is under pressure in both high-income and developing countries to do so more sustainably and inclusively. This paper reviews the roles of food policy in this changing setting. It begins by revisiting the case for keeping food markets open to international trade, investment and technology transfer, and concludes that openness is even more important, especially for developing countries, as the climate becomes warmer and more volatile. It then summarizes trade-related food policy developments globally in the 50 years prior to the global financial crisis, and in the price-spike periods since then. The current situation is calling for more action – including from agriculture – to mitigate climate change and biodiversity loss. The scope for re-purposing food policies to better meet these demands is then assessed. It proposes some alternatives to current measures that could better achieve national societal objectives while simultaneously benefitting the rest of the world in terms of easing natural resource and environmental stresses and reducing national and global poverty, food and nutrition insecurity, and inequalities in income, wealth and health. The review concludes by noting areas where further research could facilitate such transformations in food policies.
Background: Natural disasters happen in an increased frequency, and telemental health interventions could offer easily accessible help to reduce mental health symptoms experienced by survivors. However, there are very few programs offered to natural disaster survivors, and no research exists on therapists’ experiences with providing blended interventions for natural disaster survivors. Aims: Our qualitative case study aims to describe psychologists’ experiences with an online, therapist-assisted blended intervention for survivors of the Fort McMurray wildfires in Alberta, Canada. Method: The RESILIENT intervention was developed in the frames of a randomized controlled trial to promote resilience after the Fort McMurray wildfires by providing survivors free access to a 12-module, therapist-assisted intervention, aiming to improve post-traumatic stress, insomnia, and depression symptoms. A focus group design was used to collect data from the therapists, and emerging common themes were identified by thematic analysis. Results: Therapists felt they could build strong alliances and communicate emotions and empathy effectively, although the lack of nonverbal cues posed some challenges. The intervention, according to participating therapists, was less suitable for participants in high-stress situations and in case of discrepancy between client expectations and the intervention content. Moreover, the therapists perceived specific interventions as easy-to-use or as more challenging based on their complexity and on the therapist support needed for executing them. Client engagement in the program emerged as an underlying theme that had fundamental impact on alliance, communication, and ultimately, treatment efficiency. Therapist training and supervision was perceived as crucial for the success of the program delivery. Conclusions: Our findings provided several implications for the optimalization of blended interventions for natural disaster survivors from our therapists’ perspective.
Objective: We used a latent class growth model to identify distinct PTSS trajectories and correlates of these trajectories among young adults who experienced Typhoon Hato, the strongest storm to strike China in the last 50 years. Methods: A longitudinal survey (three-waves) was conducted to explore the mental health status and its correlates among young adults exposed to the typhoon. Data from 362 participants were analyzed via a latent class growth model and multinomial logistic regression. Results: Three distinct classes of PTSS trajectories were identified, including: “resilience” (86.46%), “recovery” (9.12%), and “deterioration” (4.42%). The higher levels of direct typhoon exposure, media use, and posttraumatic growth significantly predicted the higher likelihood of participants being in the “recovery” class. In addition, more social support significantly predicted the higher possibility of being in the “resilience” class. Finally, more severe depressive and anxiety symptoms significantly predicted the higher likelihood of being in the “deterioration” class. Conclusion: Further research should develop interventions to enhance protective factors (e.g., posttraumatic growth, media use), decrease risk factors (e.g., depressive and anxiety symptoms), and thereby prevent PTSS.
Green (and blue) spaces receive attention as important components of cities that can help to mitigate the effects of climate change, support biodiversity and improve public health. Green space planning aims to transform cities towards urban sustainability and resilience. In a longitudinal study, representatives from eleven European municipalities that had previously been interviewed in 2014 were re-interviewed in 2020-2021 on changes in urban greening and related practices. The interviewees reported mainly advancements in dealing with ecological issues, such as new plans, strategies, regulations or funding programmes for climate adaptation or biodiversity support, as well as some progress in co-governance with non-governmental stakeholders. Promising developments include breaking professional silos by creating new units that can better deal with complex urban issues. In a few cases, high-level local politicians induced profound changes. These changes stimulated the development of new planning and governance cultures, resulting in more co-creation of urban green spaces. However, from a transformation studies perspective, incremental strategies dominate, and even when municipal representatives are aware that substantive changes are needed, they often lack the means to act. For more radical system change, significant extra efforts are needed.
Transient poverty (TP) is a phenomenon that, by its characterisation, references a condition that may not necessarily be permanent. Its occurrence may result from an external shock, such as a severe weather-related event or geographic, national, or global impact on the economy, such as a hurricane, financial crisis, or as most recently, a pandemic. The defining aspects of TP and the needs of those pushed into TP offer an opportunity to address one aspect of poverty, which is of significance given both the disproportionate vulnerability of the poor to external shocks as well as the prohibitive effect of poverty on establishing resilience. Unfortunately, TP is not often assessed and is routinely combined and categorised as ‘poverty’, eliminating an opportunity to address unique aspects of TP and establish policies that may be beneficial to the sub-group. This paper provides a bibliometric evaluation of TP specific to the sustainable development literature, highlighting the research gap and providing a rationale for active research on the social phenomenon regarding the Sustainable Development Goals (SDG) in general and specifically SDG 1: No poverty. There are three key findings relevant to sustainability. Firstly, there seems to be a disconnection between TP and the sustainable development theory, particularly in a multidisciplinary discussion. Secondly, human action in degrading ecosystems strongly influences TP and exacerbates overall poverty levels. Finally, efforts to tackle transient poverty need to consider issues such as gender, education, health, and political aspects. Based on the findings, items for future research are also presented.
The number of lower extremity amputations in diabetic foot patients in Korea is increasing annually. In this nationwide population-based retrospective study, we investigated the data of 420,096 diabetes mellitus patients aged ≥18 years using the Korean Health Insurance Review and Assessment Service claim database. We aimed to study the seasonal and monthly trends in diabetic foot amputations in Korea. After applying the inclusion criteria, 8156 amputation cases were included. The analysis showed an increasing trend in monthly amputation cases. In terms of seasonality, the monthly frequency of amputation was commonly observed to be lower in February and September every year. Diabetic foot amputations frequently occurred in March, July, and November. There was no difference between the amputation frequency and mean temperature/humidity. This study is meaningful as it is the first nationwide study in Korea to analyze the seasonal and monthly trends in diabetic foot amputation in relation to climatic factors. In conclusion, we recognize an increased frequency of amputation in March, July, and November and recommend intensive educational program on foot care for all diabetes patients and their caregivers. This could improve wound management and amputation prevention guidelines for diabetic foot patients in the Far East with information on dealing with various seasonal changes.
Ticks are able to transmit the highest number of pathogen species of any blood-feeding arthropod and represent a growing threat to public health and agricultural systems worldwide. While there are numerous and varied causes and effects of changes to tick-borne disease (re)emergence, three primary challenges to tick control were identified in this review from a U.S. borders perspective. (1) Climate change is implicated in current and future alterations to geographic ranges and population densities of tick species, pathogens they can transmit, and their host and reservoir species, as highlighted by Ixodes scapularis and its expansion across southern Canada. (2) Modern technological advances have created an increasingly interconnected world, contributing to an increase in invasive tick species introductions through the increased speed and frequency of trade and travel. The introduction of the invasive Haemaphysalis longicornis in the eastern U.S. exemplifies the challenges with control in a highly interconnected world. (3) Lastly, while not a new challenge, differences in disease surveillance, control, and management strategies in bordering countries remains a critical challenge in managing ticks and tick-borne diseases. International inter-agency collaborations along the U.S.-Mexico border have been critical in control and mitigation of cattle fever ticks (Rhipicephalus spp.) and highlight the need for continued collaboration and research into integrated tick management strategies. These case studies were used to identify challenges and opportunities for tick control and mitigation efforts through a One Health framework.
Tick-borne diseases are a major health problem worldwide and could become even more important in Europe in the future. Due to changing climatic conditions, ticks are assumed to be able to expand their ranges in Europe towards higher latitudes and altitudes, which could result in an increased occurrence of tick-borne diseases.There is a great interest to identify potential (new) areas of distribution of vector species in order to assess the future infection risk with vector-borne diseases, improve surveillance, to develop more targeted monitoring program, and, if required, control measures.Based on an ecological niche modelling approach we project the climatic suitability for the three tick species Ixodes ricinus, Dermacentor reticulatus and Dermacentor marginatus under current and future climatic conditions in Europe. These common tick species also feed on humans and livestock and are vector competent for a number of pathogens.For niche modelling, we used a comprehensive occurrence data set based on several databases and publications and six bioclimatic variables in a maximum entropy approach. For projections, we used the most recent IPCC data on current and future climatic conditions including four different scenarios of socio-economic developments.Our models clearly support the assumption that the three tick species will benefit from climate change with projected range expansions towards north-eastern Europe and wide areas in central Europe with projected potential co-occurrence.A higher tick biodiversity and locally higher abundances might increase the risk of tick-borne diseases, although other factors such as pathogen prevalence and host abundances are also important.
Crimean-Congo haemorrhagic fever (CCHF) is a zoonotic disease caused by the Crimean-Congo hemorrhagic fever virus (CCHFV). Ticks of the genus Hyalomma are the main vectors and represent a reservoir for the virus. CCHF is maintained in nature in an endemic vertebrate-tick-vertebrate cycle. The disease is prevalent in wide geographical areas including Asia, Africa, South-Eastern Europe and the Middle East. It is of great importance for the public health given its occasionally high case/fatality ratio of CCHFV in humans. Climate change and the detection of possible CCHFV vectors in Central Europe suggest that the establishment of the transmission in Central Europe may be possible in future. We have developed a compartment-based nonlinear Ordinary Differential Equation (ODE) system to model the disease transmission cycle including blood sucking ticks, livestock and human. Sensitivity analysis of the basic reproduction number R0 shows that decreasing the tick survival time is an efficient method to control the disease. The model supports us in understanding the influence of different model parameters on the spread of CCHFV. Tick-to-tick transmission through co-feeding and the CCHFV circulation through transstadial and transovarial transmission are important factors to sustain the disease cycle. The proposed model dynamics are calibrated through an empirical multi-country analysis and multidimensional plot reveals that the disease-parameter sets of different countries burdened with CCHF are different. This information may help decision makers to select efficient control strategies.
BACKGROUND: Climate change caused by environmental pollution is the most important one of many environmental health hazards currently faced by human beings. In particular, the extreme temperature is an important risk factor for death from respiratory and circulatory diseases. This study aims to explore the meteorological-health effect and find out the vulnerable individuals of extreme temperature events in a less developed city in western China. METHOD: We collected the meteorological data and data of death caused by respiratory and circulatory diseases in Mianyang City from 2013 to 2019. The nonlinear distributed lag model and the generalized additive models were combined to study the influence of daily average temperature (DAT) on mortality from respiratory and circulatory diseases in different genders, ages. RESULTS: The exposure-response curves between DAT and mortality from respiratory and circulatory diseases presented a nonlinear characteristic of the “V” type. Cumulative Relative Risk of 30 days (CRR(30)) of deaths from respiratory diseases with 4.48 (2.98, 6.73) was higher than that from circulatory diseases with 2.77 (1.96, 3.92) at extremely low temperature, while there was no obvious difference at extremely high temperature. The health effects of low temperatures on the respiratory system of people of all ages and genders were persistent, while that of high temperatures were acute and short-term. The circulatory systems of people aged < 65 years were more susceptible to acute effects of cold temperatures, while the effects were delayed in females and people aged ≥65 years. CONCLUSION: Both low and high temperatures increased the risk of mortality from respiratory and circulatory diseases. Cold effects seemed to last longer than heat did.
We investigate whether communication strategies that portray climate change as a nonlinear phenomenon provoke increases in laypeople’s climate change risk perceptions. In a high-powered, preregistered online experiment, participants were exposed to linear or nonlinear predictions of future temperature increases that would be expected if global greenhouse gas emissions were not reduced. We hypothesized that the type of climate change portrayal would impact perceptions of qualitative risk characteristics (catastrophic potential, controllability of consequences) which would, in turn, affect laypeople’s holistic risk perceptions. The results of the study indicate that the type of climate change portrayal did not affect perceptions of risk or other social-cognitive variables such as efficacy beliefs. While participants who were exposed to a nonlinear portrayal of climate change perceived abrupt changes in the climate system as more likely, they did not perceive the consequences of climate change as less controllable or more catastrophic. Notably, however, participants who had been exposed to a linear or nonlinear portrayal of climate change were willing to donate more money to environmental organizations than participants who had not been presented with a climate-related message. Limitations of the present study and directions for future research are discussed.
Recent advances in numerical tools and data for the study of urban microclimates have helped to evaluate countermeasures for urban heat in heterogeneous and high-rise cities such as Hong Kong. Thus, two ventilation strategy designs, point (‘oases’) and linear (‘corridors’) features, were numerically simulated during a typical heatwave using the multi-layer coupled MesoNH-SURFEX-TEB mesoscale atmospheric model. These strategies proved to be effective at night with respect to thermal comfort but caused a localised increase in heat stress during the day in the ventilated areas, which were less shaded. There was no significant deterioration in the wind performance around the developments that were redesigned to accommodate the displaced population due to the construction of the ventilation features; however, an improvement was observed in thermal comfort during the daytime. The simulated impacts were relatively localised, suggesting the importance of increasing porosity across the entire urban fabric. The corridors, especially when built along the axis of the prevailing winds, exhibited better ventilation at the pedestrian level than the oases. Nevertheless, the oases remain interesting features in the context of progressive urban ventilation planning that involve the implementation of isolated, connected, and eventually a network of features to provide benefits at the megalopolis scale.
Three water, sanitation and hygiene (WASH) support tools were applied to Kampala city, Uganda, to evaluate areas with the highest health hazard due to poor wastewater and faecal sludge management and to develop interventions to improve sanitation and reduce exposure. The Pathogen Flow and Mapping Tool (PFMT) assessed how different sanitation management interventions influence pathogen emissions to surface water using rotavirus as the indicator pathogen, while the HyCRISTAL health hazard tool evaluated how flooding and drainage infrastructure influence the presence of human excreta in the environment. The SaniPath tool identified common high-risk pathways of exposure to faecal contamination in food, open drains and floodwater. An overlap in high health hazard hotspot areas was identified by the PFMT and the HyCRISTAL tools. Across the city, the most important hazard sources were the indiscriminate disposal of faecal waste into open stormwater drains from onsite sanitation technologies, open defecation and the insufficient treatment of wastewater. The SaniPath tool identified drain water, floodwater, street food and uncooked produce as the dominant faecal exposure pathways for selected parishes in the city, demonstrating the presence of excreta in the environment. Together, the tools provide collective evidence guiding household, community, and city-wide sanitation, hygiene and infrastructure management interventions from a richer assessment than when a single tool is applied. For areas with high spatial risks, those practising open defecation, and for low-lying areas, these interventions include the provision of watertight pit latrines or septic tanks that are safely managed and regularly emptied. Faecal sludge should be emptied before flood events, direct connections of latrines to open storm drains should be prevented, and the safe handling of food and water promoted. The tools enhance decision making for local authorities, and the assessments can be replicated in other cities.
Heat is one of the most serious hazards in the world as it affects human health and is extremely dangerous to vulnerable populations such as the elderly, people with preexisting cardiovascular or respiratory conditions, and even healthy people with prolonged sunlight exposure during heat waves. As the globe has warmed over the past several decades, extreme heat has become more frequent and intense than ever before, and Africa, especially the Sahel in West Africa, is one of the regions of the world where heat is a major public health concern exacerbated by livelihood activities during the heat season. Yet, there is a major gap in monitoring and forecasting heat waves in Africa. This paper describes NOAA’s role in enabling heat-health early warning in Africa, working with meteorological services and health professionals. Emphasis is on real-time heat wave forecasting at week 2, including the postprocessing of the NCEP model outputs, and providing the information to the meteorological services in Africa to serve as guidance in national heat wave forecasts. In addition, the paper describes the end-to- end process of heat hazard outlooks and translating the forecasts into early action and early planning to reduce heat risk to human health. Furthermore, the paper addresses the very important aspect of capacity development tailored at enhancing forecasters’ skills to prepare and issue heat wave forecasts and training of a cadre of health professionals to work with meteorologists to coproduce heat- health bulletins and to issue heat-health early warnings.
This study derives a generalised global framework for transport, health and health equity, based on a synthesis of 94 urban transport and health frameworks. The framework emphasises factors related to health equity, which are generally ignored in existing conceptual frameworks on the relationship between transport and health. While some factors such as travel behaviour were included in most reviewed frameworks, climate change and other macro-level factors were included in less than a quarter of frameworks, and health equity was included in less than 10%. We developed a framework that includes key framework components identified by a scoping review, as well as addressing important gaps. This framework can be utilized to inform work on transport, health and health equity by different agencies such as the World Health Organization. It can be used to guide health sector engagement with transport issues to lead to healthier and more equitable transport decision-making globally.
Fire risk management is at a crossroads. The last three fire seasons worldwide, dotted by extreme fire behavior and “megafire” events, highlighted the need for a shifting mentality towards a novel and integrated fire management framework, flexible, adaptive, and responsive to the changing environmental and societal conditions. In this context, the pandemic outbreak added other elements of concern due to its impacts on fire management. The health crisis shined also a spotlight on the government’s capacity to manage interconnected risks and anticipatory risk management and the urgent need to change the dominating paradigm in fire policy and management. Based on the review of several proposed approaches framing the impelling fire management perspectives, from the socio-ecological systems to the fire resilience concepts, here we provide a new “systemic fire management framework”. The approach integrates the multiple perspectives in fire management (multi-level, multi-actor, cross-sectoral and multi-purpose) in four pillars: (i) disaster risk reduction and climate change adaptation connection; (ii) community engagement support; (iii) adaptive management towards system resilience; (iv) and adaptive governance. The approach aims to contribute to go beyond the short term and sectoral governance toward a more sustainable long term perspective, promoting a multifunctional, fire-resistant, and resilient mosaic landscape based on sustainable development processes.
BACKGROUND: A One Health approach has been increasingly mainstreamed by the international community, as it provides for holistic thinking in recognizing the close links and inter-dependence of the health of humans, animals and the environment. However, the dearth of real-world evidence has hampered application of a One Health approach in shaping policies and practice. This study proposes the development of a potential evaluation tool for One Health performance, in order to contribute to the scientific measurement of One Health approach and the identification of gaps where One Health capacity building is most urgently needed. METHODS: We describe five steps towards a global One Health index (GOHI), including (i) framework formulation; (ii) indicator selection; (iii) database building; (iv) weight determination; and (v) GOHI scores calculation. A cell-like framework for GOHI is proposed, which comprises an external drivers index (EDI), an intrinsic drivers index (IDI) and a core drivers index (CDI). We construct the indicator scheme for GOHI based on this framework after multiple rounds of panel discussions with our expert advisory committee. A fuzzy analytical hierarchy process is adopted to determine the weights for each of the indicators. RESULTS: The weighted indicator scheme of GOHI comprises three first-level indicators, 13 second-level indicators, and 57 third-level indicators. According to the pilot analysis based on the data from more than 200 countries/territories the GOHI scores overall are far from ideal (the highest score of 65.0 out of a maximum score of 100), and we found considerable variations among different countries/territories (31.8-65.0). The results from the pilot analysis are consistent with the results from a literature review, which suggests that a GOHI as a potential tool for the assessment of One Health performance might be feasible. CONCLUSIONS: GOHI-subject to rigorous validation-would represent the world’s first evaluation tool that constructs the conceptual framework from a holistic perspective of One Health. Future application of GOHI might promote a common understanding of a strong One Health approach and provide reference for promoting effective measures to strengthen One Health capacity building. With further adaptations under various scenarios, GOHI, along with its technical protocols and databases, will be updated regularly to address current technical limitations, and capture new knowledge.
Climate warming, rapid economic development, and urbanisation in (sub)tropical regions lead to increasing electricity demand for building air-conditioning that could jeopardise the efforts of decarbonisation required to meet the climate change mitigation goals. This study investigates two strategies to reduce building energy consumption due to air-conditioning: 1) the bottom-up adoption of an Adaptive Thermal Comfort (ATC)-based cooling setpoint temperature and 2) the top-down implementation of efficient District Cooling Systems (DCS). The subtropical high-density city of Hong Kong is chosen for case study since detailed data on the city’s current and realistic future urban form and function are available. Numerical simulations representing the feedback between urban climate and building energy consumption are conducted by employing a mesoscale atmospheric model coupled to an urban climate and building energy model for a scenario of future (mid-21st century) Hong Kong. A prolonged high temperature event representative of future extreme conditions is simulated, during which the ATC and DCS strategies reduce building cooling energy consumption by 9.7% and 5.9%, respectively. The ATC has almost no effect on the local meteorological conditions, whereas the DCS reduces daytime sensible heat flux by up to 600 W/m(2) and near-surface air temperature by almost 1 °C in the districts where it is adopted. The DCS thus also contributes to lowering outdoor heat stress in these areas. The cost-free ATC strategy is easily applicable in residential buildings worldwide and can break the vicious cycle in overcooled buildings, where occupants are acclimatised to lower indoor temperature and thus require more air-conditioning than necessary. Apart from reducing energy consumption and near-surface air temperature, the DCS brings additional benefits in building space utilisation and rooftop design. Future policy orientations should therefore encourage a societal change towards the ATC lifestyle and incorporate DCS in the planning of new development areas.
Environmental issues such as environmental pollutions and climate change are the impacts of globalization and become debatable issues among academics and industry key players. One of the environmental issues which is air pollution has been catching attention among industrialists, researchers, and communities around the world. However, it has always neglected until the impacts on human health become worse, and at times, irreversible. Human exposure to air pollutant such as particulate matters, sulfur dioxide, ozone and carbon monoxide contributed to adverse health hazards which result in respiratory diseases, cardiorespiratory diseases, cancers, and worst, can lead to death. This has led to a spike increase of hospitalization and emergency department visits especially at areas with worse pollution cases that seriously impacting human life and health. To address this alarming issue, a predictive model of air pollution is crucial in assessing the impacts of health due to air pollution. It is also critical in predicting the air quality index when assessing the risk contributed by air pollutant exposure. Hence, this systemic review explores the existing studies on anticipating air quality impact to human health using the advancement of Artificial Intelligence (AI). From the extensive review, we highlighted research gaps in this field that are worth to inquire. Our study proposes to develop an AI-based integrated environmental and health impact assessment system using federated learning. This is specifically aims to identify the association of health impact and pollution based on socio-economic activities and predict the Air Quality Index (AQI) for impact assessment. The output of the system will be utilized for hospitals and healthcare services management and planning. The proposed solution is expected to accommodate the needs of the critical and prioritization of sensitive group of publics during pollution seasons. Our finding will bring positive impacts to the society in terms of improved healthcare services quality, environmental and health sustainability. The findings are beneficial to local authorities either in healthcare or environmental monitoring institutions especially in the developing countries.
Climate emergency, landscape connectivity and rapid urbanization are among the major challenges of the 21st century. This paper discusses ways in which cities can respond to the changing climate and put in place a sustainable vision. It uses the garden city concept as a vehicle to investigate the future of our cities in relation to the climate emergency and the elements that urban centres need to provide. Cities and their wider regions are recognised as key actors in supporting systemic change and climate change governance, and therefore the scope of this paper is to explore contemporary models of garden cities and the ways in which these might be able to address climate emergency as well as the concepts of zero carbon and sustainability. The study uses the 2014 Wolfson Economics Prize, which was based on a garden city question. Taking an environmental perspective on the delivery of future cities, and using the competition essays and masterplans, this study produces analytical drawings aiming to unpack the concepts of sustainability and low carbon. This research concludes that the garden city concept can support the future needs of our settlements, but a 21st century approach needs to be developed. The social and economic ideas originally introduced at the end of the 19th century need to be updated as a holistic vision, including nature and biodiversity, climatic conditions, climate emergency adaptation and mitigation processes as well as community health and wellbeing, to be able to fully respond to the needs of the future.
Extreme weather events present significant global threats to health. The National Ambulance Syndromic Surveillance System collects data on 18 syndromes through chief presenting complaint (CPC) codes. We aimed to determine the utility of ambulance data to monitor extreme temperature events for action. Daily total calls were observed between 01/01/2018−30/04/2019. Median daily ’Heat/Cold’ CPC calls during “known extreme temperature” (identified a priori), “extreme temperature”; (within 5th or 95th temperature percentiles for central England) and meteorological alert periods were compared to all other days using Wilcoxon signed-rank test. During the study period, 12,585,084 calls were recorded. In 2018, median daily “Heat/Cold” calls were higher during periods of known extreme temperature: heatwave (16/day, 736 total) and extreme cold weather events (28/day, 339 total) compared to all other days in 2018 (6/day, 1672 total). Median daily “Heat/Cold” calls during extreme temperature periods (16/day) were significantly higher than non-extreme temperature periods (5/day, p < 0.001). Ambulance data can be used to identify adverse impacts during periods of extreme temperature. Ambulance data are a low resource, rapid and flexible option providing real-time data on a range of indicators. We recommend ambulance data are used for the surveillance of presentations to healthcare related to extreme temperature events.
In 2019, the World Meteorological Organization published its “Guidance on Integrated Urban Hydrometeorological, Climate and Environment Services (Volume I: Concept and Methodology)” to assist WMO Members in developing and implementing the urban services that address the needs of city stakeholders in their countries. The guidance has relevant implications for not only protecting infrastructures from the impacts of climate change in the urban environment, but its proper declination strongly supports health-related policies to protect the population from direct and indirect impacts. Utilizing some principles of the guidance, the urbanized area of Bologna (Italy) was analyzed in order to furnish the municipality with tools coherent with the best practices actually emerging from the international bibliography to protect the citizens’ health of this city. Specifically, the analysis concentrated on the public spaces and the potential vulnerabilities of the fragile population to high-temperature regimes in the city. Utilizing the guidance as a methodological framework, the authors developed a methodology to define the microclimate vulnerabilities of the city and specific cards to assist the policymakers in city regeneration. Because the medieval structure of the city does not allow the application of a wide set of nature-based solutions, our main attention was placed on the possibility of furnishing the city with a great number of pocket parks obtainable from spaces actually dedicated to parking lots, thus introducing new green infrastructures in a highly deprived area in order to assure safety spaces for the fragile population.
Background: Dengue hemorrhagic fever (DHF) was one of infectious diseases that is still a concern in Indonesia, especially the Manado city. This study aimed to analyze the variability of temperature, rainfall, humidity, and the incidence of DHF in Manado city 2011-2020. Method: This ecological research used secondary data obtained from the Health Office and the Central Bureau of Statistics of the Manado City. The variables studied were air temperature, humidity, rainfall and the incidence of DHF in Manado city 2011-2020. Result: in 2016 there were 567 cases of dengue fever and the highest was in the Malalayang sub-district and the lowest was in the Ranomut sub-district. In 2017 there was a significant decrease to 139 cases, the highest in Malalayang sub-district with 32 cases, and the lowest in Bunaken sub-district with 1 case. In 2018, there was an increase in cases by 294 cases, the highest was in the Malalayang sub-district. The air temperature continues to fluctuate where based on the trendline it is found that the air temperature tends to increase. Whereas, the humidity tends to decrease. The rainfall in the city of Manado continues to fluctuate, where based on the trendline it is found that rainfall tends to decrease. Mosquitoes are cold-blooded animals and their metabolic processes or life cycles depend on the environment’s temperature. The DHF cases continue to fluctuate (up and down) where based on the trendline it is found that DHF cases tend to decrease Conclusion: In the period 2011-2020 in Manado City, air temperature tends to increase but rainfall, humidity, and cases of DHF tend to decrease.
Given the value of natural environments for climate change solutions and human health, public support for preserving and restoring natural ecosystems is important. One avenue to such support is to increase connection to nature, so it is important to understand factors that influence this characteristic. In the context of Songs for Nature workshops, we examined whether online and outdoor nature contact increase nature connection in a similar manner. Results indicated that online workshops also improved mood, but they did not significantly increase nature connection ratings. Outdoor workshops improved both nature connection and mood. This suggests that both online and outdoor environmental programs can influence emotions but outdoor experiences in natural settings may be necessary to strengthen nature connection.
The increasing incidence of arboviral diseases in tropical endemic areas and their emergence in new temperate countries is one of the most important challenges that Public Health agencies are currently facing. Because mosquitoes are poikilotherms, shifts in temperature influence physiological functions besides egg viability. These traits impact not only vector density, but also their interaction with their hosts and arboviruses. As such the relationship among mosquitoes, arboviral diseases and temperature is complex. Here, we summarize current knowledge on the thermal biology of Aedes invasive mosquitoes, highlighting differences among species. We also emphasize the need to expand knowledge on the variability in thermal sensitivity across populations within a species, especially in light of climate change that encompasses increase not only in mean environmental temperature but also in the frequency of hot and cold snaps. Finally, we suggest a novel experimental approach to investigate the molecular architecture of thermal adaptation in mosquitoes.
In recent years, semi-outdoor space has become an important research subject in the field of thermal comfort. Overhead space located on the ground floor is a common type of semi-outdoor space in China’s Lingnan region with a hot and humid climate. Its thermal comfort has been scarcely studied. This study aims to reveal the importance and influencing factors of overhead public spaces in hot and humid areas, and to explore the corresponding adaptive behaviors of people. In this research, several overhead public spaces in Shenzhen University were selected to conduct field measurements and questionnaire surveys (n = 509) in hot and cold seasons. The results indicated that the acceptable physiologically equivalent temperature (PET) range for 90% of the population was 26.2-30.4 degrees C in hot season, 9.9-19.2 degrees C in cold season, and 17.6-25.3 degrees C for the whole year. The respondents preferred “neutral” in cold season and “slightly cool” in hot season. Respondents in hot season were more eager to adjust their thermal comfort, while those in cold season were more comfortable exposing themselves to the sun. Concurrently, the neutral temperature and neutral temperature range for different seasons was obtained and compared with the results of other studies. The results provide references for thermal comfort adjustment in hot and humid areas as well as optimization suggestions for the planning and design of overhead spaces.
Globally, the population is ageing and extreme weather scenarios are expected, especially in southern European countries. In this context, the study assessed the thermal comfort of older people in five nursing homes in a continental Mediterranean climate in Spain during summer, through environmental measurements and surveys on site. A total of 1412 people were interviewed, including residents (older people) and non-residents (adults). The results showed that under the same environmental conditions, adults felt that the environment was warmer and they were less tolerant than older people. There was a 2.4 degrees C difference between the neutral temperature of older people (25.6 degrees C) and adults (23.2 degrees C). Older people were less sensitive to thermal changes and their comfort zone was wider than that of adults. The comparison with similar studies from other climatic zones concluded that the neutral temperature for elderly in different climatic zones is similar but the thermal comfort zones are different. Older people were less sensitive to temperature changes than the predicted mean vote (PMV) model predicted. Therefore, this model would not be suitable for older people in cooling conditions in the Mediterranean continental climate. These results could be a starting point for the development of more accurate, healthy indoor spaces that meet the needs of older people as a vulnerable group, while improving energy efficiency and reducing emissions.
Climate change and the urban heat island (UHI) effects are increasing heat stress and adversely impacting outdoor thermal comfort in urban areas. The study demonstrates that thermal comfort conditions can be improved by reducing air temperature and surface temperature with the integration of street trees into the urban environment. In this work, computational fluid dynamics (CFD) simulations using unsteady Reynolds-averaged Navier-Stokes (URANS) equations have been performed to analyze the cooling effect of street trees for heatwave period (18-22 June 2015) in a hot-humid urban environment. The results are then compared in-term-of air/surface temperature, flow-velocity and apparent temperature for the vegetation case, open-space case, and built case. The analysis shows that the vegetation can effectively decrease surrounding temperature (a reduction of 1.2 K), thereby reducing energy consumption and effectively promote thermal comfort conditions. The study findings will encourage city planners and citizens to take action for urban greening.
Following a traumatic event, posttraumatic stress disorder (PTSD) symptoms are common. Considerable research has identified a relationship between physiological responses during fear learning and PTSD. Adults with PTSD display atypical physiological responses, such as increased skin conductance responses (SCR) to threatening cues during fear learning (Orr et al., 2000). However, little research has examined these responses in childhood when fear learning first emerges. We hypothesized that greater threat responsivity in early acquisition during fear conditioning before Hurricane Florence would predict PTSD symptoms in a sample of young children following the hurricane. The final sample included 58 children in North Carolina who completed fear learning before Hurricane Florence-a potentially traumatic event. After the hurricane, we assessed severity of hurricane impact and PTSD symptoms. We found that threat responsivity as measured by differential SCR during fear learning before the hurricane predicted PTSD hyperarousal symptoms and that hurricane impact predicted PTSD symptoms following the disaster. This exploratory work suggests that prospective associations between threat responsivity and PTSD symptoms observed in adulthood may be replicated in early childhood. Results are discussed in the context of the current COVID-19 crisis.
Public climate change awareness is indispensable to dealing with climate change threats. Understanding whether and how the COVID-19 pandemic impacts on individuals’ climate change risk perception would thus be critical to green economic recovery. We conducted a longitudinal survey study in China when the pandemic was at its height and when it was mitigated. The cross-lagged analysis confirmed our assumed “arousal” effect of perceived COVID-19 risks on climate change risk awareness. We further tested and verified the proposed “dual-pathway” mechanisms of affective generalization (i.e., negative affective states aroused by COVID-19 “spillover” to the assessment of climate change risk) and cognitive association (i.e., the outbreak of COVID-19 awakens people’s recognition of the human-nature-climate issues) via multiple mediation analyses. Our results implied that climate policies could be integrated into pandemic control, and that the public should be more awakened to confront multiple crises with proper guidance.
Chikungunya fever, an acute infectious disease caused by Chikungunya virus (CHIKV), is transmitted by Aedes aegypti mosquitoes, with fever, rash, and joint pain as the main features. 1952, the first outbreak of Chikungunya fever was in Tanzania, Africa, and the virus was isolated in 1953. The epidemic has expanded from Africa to South Asia, the Indian Ocean islands and the Americas, and is now present in more than 100 countries and territories worldwide, causing approximately 1 million infections worldwide each year. In addition, fatal cases have been reported, making CHIKV a relevant public health disease. The evolution of the virus, globalization, and climate change may have contributed to the spread of CHIKV. 2005-2006 saw the most severe outbreak on Reunion Island, affecting nearly 35% of the population. Since 2005, cases of Chikungunya fever have spread mainly in tropical and subtropical regions, eventually reaching the Americas through the Caribbean island. Today, CHIKV is widely spread worldwide and is a global public health problem. In addition, the lack of a preventive vaccine and approved antiviral treatment makes CHIKV a major global health threat. In this review, we discuss the current knowledge on the pathogenesis of CHIKV, focusing on the atypical disease manifestations. We also provide an updated review of the current development of CHIKV vaccines. Overall, these aspects represent some of the most recent advances in our understanding of CHIKV pathogenesis and also provide important insights into the current development of CHIKV and potential CHIKV vaccines for current development and clinical trials.
There is hardly any doubt that climate change threatens the enjoyment of a wide range of human rights. Yet, in the absence of a distinct right to a healthy environment, a victim of climate change impacts would have to rely on existing rights to bring a claim. However, not only are these avenues not always successful or even sufficient to effectively and adequately compensate the victims, but they appear especially problematic in the context of climate change. This article explores the implications of the recognition of a stand-alone substantive right to a healthy environment in the context of climate change. In doing so, it argues that such a recognition could trigger a paradigm shift that would facilitate the reconceptualization of human rights law to better adapt to the negative impacts of climate change, in particular by incorporating key environmental law principles in the human rights system.
The present study reviews existing evidence regarding the role of nursing in responses to climate change and wildfires caused by climate change, with the aim of enhancing nurses’ awareness about these issues. A total of 21 studies published between 2014 to 2021 and written in English or Turkish were included in the review. Analysis focused on the role of nursing in lessening negative impacts from climate change and wildfires. There is evidence to suggest that nurses can significantly assist with the prevention and alleviation of the effects of climate change and wildfires. Based on these findings, it is recommended that nurses take an active role in reducing likely risks and responding effectively when needed. The importance of flexible and proactive health systems that can predict needs during emergencies is also highlighted. Nurses should lead the way in designing national and international policies on emergencies and disasters, making suggestions, and contributing to national emergency response plans, management of human resources, and the continuity of basic care services.
Climate change brings an increase in temperatures and a higher frequency of heatwaves. Both have been linked to a rise in suicide rates and violent crime on a population level. However, little is known about the link between mental health and ambient temperatures on an individual level and for particular subgroups. Overheating poses health risks to children and disturbs sleep; leading to the expectation that parents are more worried about their homes getting too hot than non-parents. Two online survey studies (N = 1000 each) were conducted in the UK and the US to understand to what extent parents and an age-matched comparison group without children are worried about overheating and how they differ in their mitigation actions. Findings did not support the main hypotheses around greater overheating worry amongst parents in general, mothers or those with very young children. However, parents indicated a greater likelihood to upgrade or install air-conditioning (US) and to get electric fans (UK). Parents in the UK indicated using more mitigation options to cope with overheating than non-parents. Parents in the US, whilst not reporting doing more actions, were more likely to use air-conditioning to deal with overheating than non-parents. Finally, those parents who mentioned health impacts on children as a reason for worry about overheating, were more concerned about overheating than parents who had other reasons than children’s health as a reason for being concerned about overheating. In summary, parental status might have implications for cooling energy use and concern for children’s health might increase overheating worry; however, many open questions remain.
Heat-related illness is becoming more problematic due to ongoing global warming. Heat-related injury causes systemic inflammation and coagulopathy, due to leukocyte, platelet, and vascular endothelial cell activation and injury. Hyperthermia directly modulates platelet function and can induce cellular damage. Meanwhile, heat also affects platelet function via activated coagulation, excess inflammation, production of cytokines, and heat shock proteins. Aberrant hyperthermia-induced interactions between leukocytes and endothelial cells are also involved in platelet regulation. Heat-induced coagulopathy commonly progresses to disseminated intravascular coagulation (DIC), leading to multiple organ failure and in some cases enhanced bleeding. Consequently, platelet count, prothrombin time, and DIC score are useful for evaluating the severity of heat-related illness in addition to other organ damage markers such as Glasgow Coma Scale, creatinine, and bilirubin. Despite the increasing risk, therapeutic modalities targeting platelets are limited and no established therapy exists. In this review, we summarize the current knowledge about the role of platelets in the pathogenesis, diagnosis, and management of heat-related illness.
OBJECTIVE: The present study examined the role of posttraumatic stress symptoms (PTSS), strength-based parenting (SBP), and event exposure on posttraumatic growth (PTG) in Peruvian flood survivors. METHOD: After contacting local authorities, 1,077 adult participants were surveyed 1 year after the flood. Correlation, moderation, and mediation analyses were conducted to determine relationships between variables. RESULTS: Flood survivors experienced both PTSS and PTG. Additionally, event exposure directly facilitated PTG. Further, SBP influenced PTG both directly and by its role in reducing PTSS. Finally, higher levels of SBP aided individuals in converting PTSS into PTG. CONCLUSIONS: Favorable psychological outcomes following floods are not uncommon even for those with high levels of stress or exposure. Individual- and community-level interventions should leverage facilitating factors such as SBP to promote growth outcomes such as PTG. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
Fluvial flooding continues to be a process that has a major impact on society, the environment and the economy. Although its natural triggering factors, the spatial configuration of exposure and vulnerability is expected to play a relevant role in explaining the damage records. The starting point of this research is the use of existing flood susceptibility, exposure and social vulnerability mapping, produced at the parish level, as input data in a Classification and Regression Trees’ (CART) model. Two models were ran, autonomously, that use two databases of flood damage as dependent variables: one including the human damages (fatalities, missing, injured, displaced and evacuated people) from flood events-the DISASTER database; another one that sums the DISASTER cases and the lower impact damages (damages to roads, railroads and buildings). The results show a quite distinct classification of parishes, whether one database is used or the other. The DISASTER database reveals susceptibility as the most relevant flood risk driver in explaining the damage patterns, while the database with all the flood cases identifies exposure as the more relevant driver. In the end, the degree of damages as documented in databases is conditioned by the geographical distribution and overlay configuration of the three flood risk drivers. Finally, the CART classification groups are analyzed at the light of the European Union’s Floods Directive areas of significant potential flood risk. This analysis showed that the Directive’s parishes are interpreted differently-in terms of their positioning in face of the risk drivers-which is explained by the use of distinct impacting-criteria in the construction of the flood damage databases.
The United Nations Food Systems Summit aimed to chart a path toward transforming food systems toward achieving the Sustainable Development Goals. Despite the essentiality of water for food systems, however, the Summit has not sufficiently considered the role of water for food systems transformation. This focus is even more important due to rapidly worsening climate change and its pervasive impacts on food systems that are mediated through water. To avoid that water “breaks” food systems, key food systems actors should 1) Strengthen efforts to retain water-dependent ecosystems, their functions and services; 2) Improve agricultural water management; 3) Reduce water and food losses beyond the farmgate; 4) Coordinate water with nutrition and health interventions; 5) Increase the environmental sustainability of food systems; 6) Explicitly address social inequities; and 7) Improve data quality and monitoring for water-food system linkages.
BACKGROUND: Cholera remains a major threat in sub-Saharan Africa (SSA), where some of the highest case-fatality rates are reported. Knowing in what months and where cholera tends to occur across the continent could aid in improving efforts to eliminate cholera as a public health concern. However, largely due to the absence of unified large-scale datasets, no continent-wide estimates exist. In this study, we aimed to estimate cholera seasonality across SSA and explore the correlation between hydroclimatic variables and cholera seasonality. METHODS: Using the global cholera database of the Global Task Force on Cholera Control, we developed statistical models to synthesise data across spatial and temporal scales to infer the seasonality of excess (defined as incidence higher than the 2010-16 mean incidence rate) suspected cholera occurrence in SSA. We developed a Bayesian statistical model to infer the monthly risk of excess cholera at the first and second administrative levels. Seasonality patterns were then grouped into spatial clusters. Finally, we studied the association between seasonality estimates and hydroclimatic variables (mean monthly fraction of area flooded, mean monthly air temperature, and cumulative monthly precipitation). FINDINGS: 24 (71%) of the 34 countries studied had seasonal patterns of excess cholera risk, corresponding to approximately 86% of the SSA population. 12 (50%) of these 24 countries also had subnational differences in seasonality patterns, with strong differences in seasonality strength between regions. Seasonality patterns clustered into two macroregions (west Africa and the Sahel vs eastern and southern Africa), which were composed of subregional clusters with varying degrees of seasonality. Exploratory association analysis found most consistent and positive correlations between cholera seasonality and precipitation and, to a lesser extent, between cholera seasonality and temperature and flooding. INTERPRETATION: Widespread cholera seasonality in SSA offers opportunities for intervention planning. Further studies are needed to study the association between cholera and climate. FUNDING: US National Aeronautics and Space Administration Applied Sciences Program and the Bill & Melinda Gates Foundation.
The added value of indigenous practices for Disaster Risk Reduction (DRR) is increasingly stressed by scholars. Yet this fails to translate into practical application as these scholars miss a clear understanding of the processes that shape indigenous DRR. Based on a case of floods in the Rwenzori (Uganda), in this study, the aimed is to conceptualize the socio-epistemic processes through which Indigenous people question their practices and develop adapted DRR strategies. By trying out various practices over several floods, Indigenous people developed a toolbox of criteria to address the changing disaster risk. The capacity to learn from each event is illustrated by crafting practices that enhance ecological integrity, livelihoods, and sociocultural well-being across the watershed. This skill is largely attributed to the community structures organized around the cultural stewardship which favor a holistic approach to produce best practices. Yet, through history, adapted indigenous DRR strategies remain hampered by external pressures that are sociopolitical and capitalistic in nature. It is thus argued that cultural stewardship is crucial in enabling development of adapted indigenous DRR insofar as external sociopolitical and/or capitalistic situations permit.
The monsoon flood was inevitable for Malaysia. Nevertheless, no one expected that it would be as severe as the Kelantan Flood 2014. Total collapse of communication disruption had made it difficult for centric top-down emergency management to reach out to the healthcare workers. Not only the public were severely affected yet even healthcare workers and their families felt the impact of that disaster. This study aims to explore the challenges faced by the healthcare workers and look into the management that really helped them survive this crisis. Nine (9) healthcare workers under the ministry of health working at hospitals and affected clinics narrated their experience and their transcriptions were coded by a panel of experts. It was found that the common challenge occurred when they had to deal with patients and emergency circumstances with total cut down of necessities like electric supply, food and most of these healthcare workers were burned out when there were limited human resources during that critical phase. They also had to deal with their own inner turmoil and psychological concerns while mending the needs of their patient and the other staff. Breakdowns of communication and handling emergency cases really put them to the test. In handling most of these challenges, all agreed on the importance of having a leader to coordinate and motivate them, to form a crisis management centre as the core place for communication to be synchronized and the importance of soft skills in getting help from locals and the Non-Governmental Organizations (NGOs). This study has affirmed the importance for emergency management to focus on creating proactive response in empowering the bottom-up kind of management as a complement to the existing preparedness system. Hence there is no better way to do that than to pay heed on the soft skills aspect of an emergency management plan in the future.
Along with the increase in the frequency of disastrous wildfires and bushfires around the world during the recent decades, scholarly research efforts have also intensified in this domain. This work investigates divisions and trends of the domain of wildfire/bushfire research. Results show that this research domain has been growing exponentially. It is estimated that the field, as of 2021, it has grown to larger than 13,000 research items, with an excess of 1,200 new articles appearing every year. It also exhibits distinct characteristics of a multidisciplinary research domain. Analyses of the underlying studies reveal that the field is made up of five major divisions. These divisions embody research activities around (i) forest ecology and climate, (ii) fire detection and mapping technologies, (iii) community risk mitigation and planning, (iv) soil and water ecology, and (v) atmospheric science. Research into the sub-topics of reciprocal effects between climate change and fire activities, fire risk modelling/mapping (including burned area modelling), wildfire impact on organic matter, biomass burning, and human health impacts currently constitute trending areas of this field. Amongst these, the climate cluster showed an explosion of activities in 2020 while the human health cluster is identified as the most recent emerging topic of this domain. On the other hand, dimensions of wildfire research related to human behaviour-particularly issues of emergency training, risk perception and wildfire hazard education-seem to be notably underdeveloped in this field, making this one of its most apparent knowledge gaps. A scoping review of all reviews and meta-analysis of this field demonstrates that this sub-topic is also virtually non-existent on the research synthesis front. This meta-synthesis further reveals how a western, deductive view excludes socioecological and traditional knowledge of fire.
If worldwide healthcare was a country, it would be the fifth largest emitter of greenhouse gases on the planet. The increase in global temperatures, combined with the negative impacts of urbanization, has made it more important than ever to introduce green spaces where possible. With climate change worsening, human health, both physically and mentally is on decline, making the effects of climate change especially pressing to the stability of healthcare systems. In order to mitigate the lasting impacts of climate change on healthcare facilities, a holistic solution is needed. Access to green space in hospitals has been shown to reduce emotional distress, improve mental health, increase socialization and community connection, increase physical activity, decrease cardiovascular and respiratory diseases, decrease pain management needs and hospital stay lengths and increase both patients’ and staffs’ overall satisfaction at the facility. Beyond benefiting those interacting with the hospital, green roofs have the ability to reduce the urban heat island effect, improve stormwater mitigation, increase biodiversity, and absorb toxins and pollutants through air filtration. Additionally, green roofs can offer lower maintenance costs and higher energy savings than traditional roofs, and improve patient satisfaction, which can result in future funding opportunities. However, the upfront and upkeep costs of installing a green roof can vary and must be considered before implementation. In this review, we explore the symbiotic relationship between urban green roofs and hospital/patient wellness through the lens of sustainability, which includes environmental, societal, and economic impacts. We review scientific journal articles investigating benefits of green space and green roofs and highlight examples of green roofs on hospitals in the United States; together, these approaches display the environmental, societal, and economic benefits of green roofs installed on healthcare facilities. This review offers insight to hospitals, decision makers, and government systems on the importance of green roofs in urban areas and how these infrastructures can support the economic growth of the institute. Using our framework, decision makers and planners for urban hospitals can evaluate how the addition of green roofs to their healthcare facilities can contribute to increased environmental resiliency, community health, and patient satisfaction.
Purpose of Review The increase in wildfire prevalence and severity has generated alarm as wildfire air pollution is associated with significant respiratory morbidity. We aim to summarize the pathophysiology of wildfire air pollution causing lung disease, current knowledge of pulmonary health effects, and precautionary guidance to the public. We also propose specific guidance for high-risk patients during wildfires. Recent Findings Health effects of wildfire air pollution have been difficult to evaluate; however, respiratory morbidity has been firmly established including exacerbation of known pulmonary disease and increased hospitalizations, emergency department visits, and dispensation of reliever medications. Public health agencies and officials provide wildfire preparation recommendations and active updates to the public during a wildfire event but fail to address specific needs of chronic lung disease patients considered high-risk for pulmonary complications. To fill this void, it is increasingly important for pulmonary physicians to understand wildfire-related pulmonary morbidity and provide specific guidance to their patients. This review summarizes the health effects of wildfire air pollution and provides guidance for the management of high-risk patients during wildfires.
In the context of the multiple economic crises, the degradation of the quality of life in correlation with the environment are intensely debated topics in the current international policy. Thus, the concept of “Green Economy” was developed as an answer and as a solution to these pressing problems. The development of this concept has taken into account an economic revolution by integrating the environmental factors that will have to be taken into account in any political decision, in a joint international effort. By implementing this concept, the previous term “sustainable economy” will be developed through economic policies that make the economy more efficient, taking full account of climate change, the health and wellbeing of the population in the medium and long term. This study follows an overview of the concept of “Green Economy” and how it could be integrated into the Romanian context.
Growing evidence suggests that cold exposure is to some extent a potential risk factor for ischemic stroke. At present, although the mechanism by which cold exposure induces ischemic stroke is not fully understood, some potential mechanisms have been mentioned. First, the seasonal and temperature variability of cerebrovascular risk factors (hypertension, hyperglycemia, hyperlipidemia, atrial fibrillation) may be involved. Moreover, the activation of sympathetic nervous system and renin-angiotensin system and their downstream signaling pathways (pro-inflammatory AngII, activated platelets, and dysfunctional immune cells) are also major contributors. Finally, the influenza epidemics induced by cold weather are also influencing factors that cannot be ignored. This article is the first to systematically and comprehensively describe the underlying mechanism of cold-induced ischemic stroke, aiming to provide more preventive measures and medication guidance for stroke-susceptible individuals in cold season, and also provide support for the formulation of public health policies.
Heat stroke (HS) is a life-threatening systemic disease characterized by an elevated core body temperature of more than 40 ℃ and subsequent multiple organ dysfunction syndrome. With the growing frequency of global heatwaves, the incidence rate of HS has increased significantly, which has caused a huge burden on people’s lives and health. Liver injury is a well-documented complication of HS and usually constitutes the direct cause of patient death. In recent years, a lot of research has been carried out on the pathogenesis and treatment strategies of HS-induced liver injury. In this review, we summarized the important pathogenesis of HS-induced liver injury that has been confirmed so far. In addition to the comprehensive effect of systemic factors such as heat cytotoxicity, coagulopathy, and systemic inflammatory response syndrome, excessive hepatocyte cell pyroptosis, dysfunction of Kupffer cells, abnormal expression of heat shock protein expression, and other factors are also involved in the pathogenesis of HS-induced liver injury. Furthermore, we have also established the current therapeutic strategies for HS-induced liver injury. Our study is of great significance in promoting the understanding of the pathogenesis and treatment of HS-induced liver injury.
The urban heat island (UHI) phenomenon has become a major concern for city sustainability in the wake of global warming and rapid urbanization.This has resulted in increased heat stress and worsened outdoor thermal comfort in urban microclimates.The study demonstrates that heat stress can be mitigated by reducing air temperature and surface temperature with the integration of cool materials into the urban environment using computational fluid dynamics, under representative climatic conditions. The thermal comfort conditions are examined at pedestrian height and the diverse vertical levels by evaluating two climatic parameters: first, the reduction of ambient air temperature and surface temperature characterizing the mitigation (cooling) intensity, and second, the alteration of airflow velocity. The analysis shows that the proposed intervention can effectively decrease surrounding temperature and promote airflow. Cool materials, when applied simultaneously on both buildings and ground, generate a more pronounced mitigation effect than on only the ground or the buildings as it results in a large reduction of air and surface temperature, that is, of 2 degrees C and 6 degrees C, respectively. For airflow velocity, it is highest for combined cool materials, with maximum effect at the time of highest solar irradiance. The study is expected to inform architects, urban designers and people involved in construction engineering regarding retrofitting mitigation of UHI under representative climatic conditions.
Dengue is a harmful tropical disease that causes death to many people. Currently, the dengue vaccine development is still at an early stage, and only intervention methods exist after dengue cases increase. Thus, previously, two scientific experimental field studies were conducted in producing a dengue outbreak forecasting model as an early warning system. Successfully, an Autoregressive Distributed Lag (ADL) Model was developed using three factors: the epidemiological, entomological, and environmental with an accuracy of 85%; but a higher percentage is required in minimizing the error for the model to be useful. Hence, this study aimed to develop a practical and cost-effective dengue outbreak forecasting model with at least 90% accuracy to be embedded in an early warning computer system using the Internet of Things (IoT) approach. Eighty-one weeks of time series data of the three factors were used in six forecasting models, which were Autoregressive Distributed Lag (ADL), Hierarchical Forecasting (Bottom-up and Optimal combination) and three Machine Learning methods: (Artificial Neural Network (ANN), Support Vector Machine (SVM) and Random Forest). Five error measures were used to evaluate the consistency performance of the models in order to ensure model performance. The findings indicated Random Forest outperformed the other models with an accuracy of 95% when including all three factors. But practically, collecting mosquito related data (the entomological factor) was very costly and time consuming. Thus, it was removed from the model, and the accuracy dropped to 92% but still high enough to be of practical use, i.e., beyond 90%. However, the practical ground operationalization of the early warning system also requires several rain gauges to be located at the dengue hot spots due to localized rainfall. Hence, further analysis was conducted in determining the location of the rain gauges. This has led to the recommendation that the rain gauges should be located about 3-4 km apart at the dengue hot spots to ensure the accuracy of the rainfall data to be included in the dengue outbreak forecasting model so that it can be embedded in the early warning system. Therefore, this early warning system can save lives, and prevention is better than cure.
Objective: The aim of this study was to examine the prevalence of heat-related illnesses (HRI) and their associated factors among rice farmers in Central Vietnam. Methods: A cross-sectional study was conducted using a sample of 379 farmers from August to September 2021 in Ha Tinh province on the north-central coast of Vietnam. A structured questionnaire was used to collect demographic information, farming activities, heat exposure, and health issues. Multivariable logistic regression was used to identify the factors associated with HRI. Results: At least one HRI symptom was experienced by 83.4% of farmers, and two or more HRI symptoms were experienced by 55.1% of farmers during the last harvesting season (the summer-autumn rice season, 2021). Factors significantly associated with HRI were age, having chronic diseases, type of farming tasks, the number of hours working in the heat, and water intake. Farmers working outdoors for more than 4 hours in the heat were 2.3 times [95%CI: 1.14-4.69] more likely to experience HRI than those working fewer than 2 hours. A higher risk of HRI was also associated with heavy farming tasks (OR = 2.35, [1.34-4.14]), having hypertension (OR = 3.75, [1.90-7.81]), cardiovascular diseases (OR = 2.53, [1.03-6.93]), and other chronic conditions (OR = 2.51, [1.51-4.25]). In contrast, a lower risk of HRI was found in the older group (OR = 0.44, [0.22-0.87]) and increased water intake (OR = 0.46, [0.27-0.77]). Conclusions: Hot weather is a significant occupational health risk for farmers in Vietnam. Changing the working schedule, working in shorter intervals, and remaining well-hydrated should be considered in HRI prevention strategies.
An increase in the annual daily temperature is documented and predicted to occur in the coming decades. Climate change has a direct effect and adverse impact on human health, as well as on multiple ecosystems and their species. The purpose of this paper is to review the effect of climate change on neglected tropical diseases including leishmaniasis, schistosomiasis, and lymphatic filariasis in the Eastern Mediterranean Region (EMR). A list of engine web searches was done; 280 full-text records were assessed for eligibility. Only 48 original records were included within the final selection for the review study. Most research results show an alteration of neglected diseases related to climate change influencing specifically the Eastern Mediterranean Region, in addition to the expectation of more effects at the level of vectors and reservoir whether its vector transmission route or its egg hatching and replication or even the survival of adult worms in the coming years. At the same time, not all articles related to the region interpret the direct or indirect effect of climate variations on these specific diseases. Although few studies were found describing some of climate change effects on neglected tropical diseases in the region, still, the region lacks research funding, technical, and mathematical model expertise regarding the direct effect of climate change on the ecosystems of these neglected tropical diseases.
Combined effects of global warming and rapid urbanization replace green spaces with urban facilities. Children in urban areas are at a higher risk of heat-related adverse health effects. Our study aimed to examine the protective effect of urban green space on heat-related respiratory hospitalization among children under 5 years of age in Hanoi, the capital city of Vietnam. We estimated district-specific meteorological conditions from 2010 to 2014 by using a dynamic downscaling approach with a fine-resolution numerical climate model. The green space in each district was calculated using satellite data. The attributable fraction of heat-related respiratory hospitalization was estimated using a two-stage model, including a distributed lag non-linear model (DLNM) coupled with multivariate meta-analysis. The association between heat-related respiratory hospitalization and green spaces at the district level was explored using a linear regression model. The central districts were more crowded and hotter, with less green spaces than the outer districts. At temperatures > 34 °C (extreme heat threshold), the hospitalizations in the central districts increased significantly; however, in the outer districts, the hospitalization rate was insignificant. On average, extreme heat attributed 0.33% to citywide hospitalization, 0.35% in the center, and 0.32% in the outer region. Every 1% increase in the green space fraction will reduce heat-related respiratory hospitalization risk by 3.8%. Heat significantly increased the risk of respiratory hospitalization among children under 5 years in Hanoi, Vietnam. These findings are valuable for authorities to consider strategies to protect children’s health against the effects of heat, including increasing green space.
A novel comprehensive assessment system, consisting of a bioassay and chemical analysis, was developed to quickly evaluate the human health risk posed by toxic chemicals discharged due to natural disasters. To analyze samples quickly, a yeast-two-hybrid assay (Y2H) and GC-MS equipped with an automated identification and quantification system (AIQS-GC) were employed for the bioassay and chemical analysis, respectively. Since the analysis of 1000 substances by AIQS could be finished within two days following the Y2H assay for screening, this method would complete the risk assessment within three days. To confirm the applicability of this method in real environmental samples, we examined it using sediments circulated by Typhoon Hagibis. In one sediment sample, a distinctive response was indicated by the Y2H assay, and relatively high DDT concentration was identified by AIQS-GC in the same sediment. Therefore, using the results obtained from this method, a human health risk assessment of DDT was conducted, which indicated that the risk could be ignored. Additionally, the contamination of PAHs and alkanes was suggested as well. In this study, the pollution risk assessment could be completed within three days. Therefore, to our knowledge, this is the first study to demonstrate an assessment system with a rapid combination method for emergencies. Consequently, it is believed that this type of novel system would be needed in the future due to the increasing number of natural disasters predicted worldwide.
An increasing number of academic papers, newspaper articles, and other media representations from all over the world recently bring climate change’s impact on mental health into focus. Commonly summarized under the terms of climate or ecological emotions, these reports talk about distress, anxiety, trauma, grief, or depression in relation to environmental decline and anticipated climate crisis. While the majority of psychology and mental health literature thus far presents preliminary conceptual analysis and calls for empirical research, some explanations of ecological emotions are already offered. They mainly draw from psychoanalysis and depth existential and humanistic psychology, as well as social psychology and address the relationship between ecological emotions and individual engagement in climate action. While these studies suggest building on individual resilience if concerned by ecological emotions, we argue that this only addresses their acute symptoms and not the (chronic) social causes. Based upon our literature research, we show that in an individualistic society such as the (neo-)liberal ones, feelings of individual responsibility are fostered, and this also applies to climate activism.
Traffic accidents cause considerable economic losses and injuries. Although the adverse effects of a change in ambient temperatures on human health have been widely documented, its effects on road traffic safety are still debated. This systematic review and meta-analysis was performed to synthesize available data on the association between ambient temperature and the risks of road traffic accidents (RTAs) and traffic accident injuries (TAIs). We searched 7 different databases to locate studies. The subgroup analyses were stratified by temperature type, temperature exposure, region, mean temperature, mortality, study period, statistical model, and source of injury data. This study was registered with PROSPERO under the number CRD42021264660. This is the first meta-analysis to investigate the association between ambient temperature and road traffic safety. A total of 34 high-temperature effect estimates were reported, and two additional studies reported the relationship between low temperatures and TAI risk. The meta-analysis results found a significant association between the high temperature and RTAs, and the pooled RR was 1.025 (95%CI 1.014, 1.035). The risk of TAI was also significantly associated with temperature increases. Subgroup analyses found that using daily mean temperatures, the RR value of road traffic accidents was 1.024 (95%CI 0.939, 1.116), and the RR value of road traffic injuries was 1.052 (95%CI 1.024, 1.080). Hourly temperatures significantly increased the risk of RTA, while the risk of TAI was not significantly increased by hourly temperature. The sensitivity analysis indicated that the results were stable, and no obvious publication bias was detected. The results of this systematic review and meta-analysis suggest that increases in ambient temperature are associated with an increased risk of RTAs and TAIs. These findings add to the evidence of the impact of ambient temperature on road traffic safety.
As the threat of climate change becomes increasingly prevalent for people in both the developed and developing world, the impact of climate change on mental wellbeing has become a crucial area of research. In addition to the direct, indirect, and psychosocial impacts of climate change on mental wellbeing, there is also a question of how climate change driven changes to the environment will influence the well-established positive relationship between connection to nature and mental wellbeing. The aim of this study was to investigate the relationship between climate change issue engagement, connection to nature, and mental wellbeing in English speaking adults over 18 years of age. This study examined the average levels of connection to nature and mental wellbeing in people with different levels of climate change issue engagement, and evaluated whether a person’s level of climate change issue engagement uniquely predicted mental wellbeing. The study corroborated positive relationships between wellbeing and various aspects of relatedness to nature in the overall sample. The strength of these relationships, however, depended on the level of climate change issue engagement. More specifically, the level of engagement is inversely linked to mental wellbeing, such that the lower the level of engagement, generally the higher is wellbeing.
Epidemic asthma events represent a significant risk to emergency services as well as the wider community. In southeastern Australia, these events occur in conjunction with relatively high amounts of grass pollen during the late spring and early summer, which may become concentrated in populated areas through atmospheric convergence caused by a number of physical mechanisms including thunderstorm outflow. Thunderstorm forecasts are therefore important for identifying epidemic asthma risk factors. However, the representation of thunderstorm environments using regional numerical weather prediction models, which are a key aspect of the construction of these forecasts, have not yet been systematically evaluated in the context of epidemic asthma events. Here, we evaluate diagnostics of thunderstorm environments from historical simulations of weather conditions in the vicinity of Melbourne, Australia, in relation to the identification of epidemic asthma cases based on hospital data from a set of controls. Skillful identification of epidemic asthma cases is achieved using a thunderstorm diagnostic that describes near-surface water vapor mixing ratio. This diagnostic is then used to gain insights on the variability of meteorological environments related to epidemic asthma in this region, including diurnal variations, long-term trends, and the relationship with large-scale climate drivers. Results suggest that there has been a long-term increase in days with high water vapor mixing ratio during the grass pollen season, with large-scale climate drivers having a limited influence on these conditions.
Despite a substantial number of COVID-19 related research papers published, it remains unclear as to which factors are associated with the observed variation in global transmission and what are their relative levels of importance. This study applies a rigorous statistical framework to provide robust estimations of the factor effects for a global and integrated perspective on this issue. We developed a mixed effect model exploring the relative importance of potential factors driving COVID-19 transmission while incorporating spatial and temporal heterogeneity of spread. We use an integrated data set for 87 countries across six continents for model specification and fitting. The best model accounts for 70.4% of the variance in the data analyzed: 10 fixed effect factors explain 20.5% of the variance, random temporal and spatial effects account for 50% of the variance. The fixed effect factors are classified into climatic, demographic and disease control groups. The explained variance in global transmission by the three groups are 0.6%, 1.1%, and 4.4% respectively. The high proportion of variance accounted for by random effects indicated striking differences in temporal transmission trajectories and effects of population mobility among the countries. In particular, the country-specific mobility-transmission relationship turns out to be the most important factor in explaining the observed global variation of transmission in the early phase of COVID-19 pandemic. Plain Language Summary We have observed substantial variation in global transmission trajectories of COVID-19. Using statistical analysis, this study aims to investigate the factors that are associated with the observed variation in global transmission and what are their relative levels of importance. We conclude that the variation in transmission trajectories in various countries is mostly accounted for by spatiotemporal heterogeneity in transmission. In particular, disease control policies and population response to COVID-19 transmission make the largest contribution and demographic features have the least importance. Climatic factors also play a role but turn to be much less important than disease control policies. The mobility-transmission relationship is country-specific and turns out to be the most important factor in explaining the observed global variation of transmission. The complexity of COVID-19 transmission is also demonstrated through the wide range of estimated effects of population mobility on transmission between countries.
High-density living and heatwaves are increasing, at the same time as the population is ageing. The aim of this literature review was to examine the intersection between older and/or vulnerable people, who live in high-density/high-rise situations, and their health during heatwaves. Using electronic databases, the literature was examined. Articles were included if they were: (1) published in English, (2) examined the relationship between building, health, and extreme heat, and (3) included older or vulnerable populations. A total of 241 articles were identified of which 15 were duplicates and 209 did not meet the inclusion criteria. Of the 17 studies included in the review, 4 were conducted following heatwaves in Chicago and Europe. These identified a relationship between age, vulnerability, and floor of residence, in people who died because of the heatwave. High-rise living is increasing globally, and residents are getting older. This, in combination with increased heatwave intensity and frequency, highlights the risk of morbidity and mortality in this group, particularly where there is no access to air-conditioning because of power grid overload in the heat. This research benefits older and vulnerable people who live in high-rise buildings, the health professionals who care for them, architects, urban planners, and policy makers.
Given the increasing frequency, duration, and intensity of heat waves around the globe, more research is needed on the allocation and operations of cooling shelters for efficient heat mitigation. To address this need, this study considers a cooling shelter operating system that uses shuttle buses to transport heat-vulnerable people and presents a binary integer programming model for the multi-depot location routing problem (LRP) that decides optimal locations of cooling shelters and routes of shuttle buses simultaneously with the objective of minimizing the total operating cost for full accommodation of the heat-vulnerable population. Since the LRP is NP-hard, we further present the simulated annealing to efficiently derive a near-optimal solution. We then validate the proposed methodology with an application to the 14 administrative regions of Ulsan Metropolitan City in the Republic of Korea to assign heat-vulnerable residents and provide them with ride services to the associated cooling shelters. The overall results demonstrate the proposed methodology’s competitive performance compared with the traditional two-phased solution approach that separately solves the location problem and routing problem. In particular, our results show that the proposed methodology can save up to 49,000 USD in addressing the cooling shelter location routing problem compared to the two-phased solution approach. Subsequently, a sensitivity analysis is conducted regarding three factors that are likely to impact the effectiveness and efficiency of cooling shelter operations: shuttle bus capacity, traveling cost, and maximum walking distance. Our research provides recommendations for policymakers to carry out the best heat mitigation strategy for their unique circumstances and reduce heat-related illness and death.
BACKGROUND: The long-term health effects of bushfires include the potential to trigger new and exacerbate existing mental health problems. OBJECTIVE: This review aimed to determine the prevalence of long-term mental health issues in Australian populations exposed to bushfires. METHOD: A systematic search was conducted in five databases (Embase, Medline, PsycINFO, Scopus, and Web of Science) to identify studies focusing on Australian populations impacted by bushfires with the prevalence of mental health issues reported at 2+ years after bushfire. The Joanna Briggs Institute prevalence critical appraisal tool was utilised. We conducted meta-analyses to determine the prevalence of general psychological distress in the general population, and a narrative synthesis. RESULTS: We included 21 articles based on 5 studies and conducted on 3 bushfire events. Meta-analyses showed a pooled prevalence of 14% (95% CI 12%-16%) for psychological distress in the general population at 2-4 years post bushfire. The overall prevalence of long-term psychological problems in firefighters at 2-7 years ranged from 28% to 47.6%. The prevalence of some psychological issues decreased with time and was directly proportional to the level of bushfire impact. CONCLUSIONS: As the magnitude of long-term bushfire-related mental health impacts in Australia is severe, it is important to monitor psychological problems and assist communities in future. Future research needs include: (a) more studies on the full range of long-term psychological impacts of bushfires, and (b) consensus on instruments and diagnostic criteria to define mental health issues. HIGHLIGHTS: First systematic review of long-term bushfire mental health issues in Australia.Indicating substantial mental health problems among affected populations.Long-term issues were linked to bushfire impact and elevated among firefighters.Highlighting need for further rigorous research on long-term disaster sequalae.
BACKGROUND: Heatwaves have long been recognised as a serious public health concern. This study was aimed at developing and validating a Malay-version of a questionnaire for evaluating knowledge, risk perception, attitudes, and practices regarding heatwaves. METHOD: The knowledge construct was evaluated with item analysis and internal reliability. The psychometric characteristics, construct and discriminant validity, and internal consistency of the risk perception, attitude and practice constructs were evaluated with exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). RESULTS: The 16 items in the knowledge construct had a good difficulty, discrimination, and reliability index of 0.81. A total of 16 items were maintained in EFA with Cronbach’s alpha of 0.84 and 0.82, 0.78 and 0.84 obtained for total items and risk perception, attitude, and practice constructs, respectively. A total of 15 items were retained after CFA. The finalised model met the fitness indices threshold. The convergent and discriminant validity were good. CONCLUSION: This newly developed Malay-version KRPAP questionnaire is reliable and valid for assessing Malaysians’ knowledge, risk perception, attitudes, and practices regarding heatwaves.
BACKGROUND: Smoke from wildfires is a growing public health risk due to the enormous amount of smoke-related pollution that is produced and can travel thousands of kilometers from its source. While many studies have documented the physical health harms of wildfire smoke, less is known about the effects on mental health and well-being. Understanding the effects of wildfire smoke on mental health and well-being is crucial as the world enters a time in which wildfire smoke events become more frequent and severe. We conducted a scoping review of the existing information on wildfire smoke’s impact on mental health and well-being and developed a model for understanding the pathways in which wildfire smoke may contribute to mental health distress. METHODS: We conducted searches using PubMed, Medline, Embase, Google, Scopus, and ProQuest for 1990-2022. These searches yielded 200 articles. Sixteen publications met inclusion criteria following screening and eligibility assessment. Three more publications from the bibliographies of these articles were included for a total of 19 publications. RESULTS: Our review suggests that exposure to wildfire smoke may have mental health impacts, particularly in episodes of chronic and persistent smoke events, but the evidence is inconsistent and limited. Qualitative studies disclose a wider range of impacts across multiple mental health and well-being domains. The potential pathways connecting wildfire smoke with mental health and well-being operate at multiple interacting levels including individual, social and community networks, living and working conditions, and ecological levels. CONCLUSIONS: Priorities for future research include: 1) applying more rigorous methods; 2) differentiating between mental illness and emotional well-being; 3) studying chronic, persistent or repeated smoke events; 4) identifying the contextual factors that set the stage for mental health and well-being effects, and 5) identifying the causal processes that link wildfire smoke to mental health and well-being effects. The pathways model can serve as a basis for further research and knowledge synthesis on this topic. Also, it helps public health, community mental health, and emergency management practitioners mitigate the mental health and well-being harms of wildfire smoke.
Ongoing climate crisis increase people’s outdoor thermal stress, discouraging outside activities and intensifying indoor consumptions. Amelioration of urban microclimates is necessary to safeguard citizens from thermal strokes without energy-intensive strategies, ensuring future cities’ sustainable development. More than 200 calculation methods can be adopted with the purpose to design thermally comfortable public spaces, but existing literature lacks selection criteria to justifiably choose the appropriate ones. As resolution, the Metamatrix of Thermal Comfort has been developed. It’s a graphical methodology, addressed to academicians and practitioners, that allows to rapidly comprehend and compare the specificities of 65 renowned thermal comfort indices and thermo-physiological models, explaining their mutual interactions. To promote practicality in thermal comfort studies, relying on calculation tools, an Operational version, including only 22 indices and models integrated in computer programs, is presented. A qualitative evaluation by approximately 30 criteria, such as climatic and physical factors, meteorological conditions, solar exposure and type of environment, allows to select thermal comfort calculation methods compatible to specific needs. To find appropriate computational tools, the Metamatrix of Software can be consulted. An application example is provided, proving the suitability of this graphical methodology as a powerful asset to apply outdoor thermal comfort-driven design to urban planning.
The scale of migration is increasing, and while great uncertainty exists in identifying exact numbers, the estimated number of international migrants is already surpassing 2050 projections in the order of 2.6%, or 230 million. As people migrate, they face a number of challenges including exposure to disease and other health threats, violence and assualt, trafficking and unlawful detention. However, of the protections available to migrants, the implementation and realization of these protections and how they impact the individual experiences of migrants and their loss of human rights and dignity rights across the migration cycle, are lacking. In acknowledgement of this, McClain et al. developed a legal and policy framework for Migration with Dignity, which identified six fundamental elements central to the migration experience that can supplement and support the implementation of migrant protections. The framework was built upon the foundational policy of former President of Kiribati, Anote Tong, who understood the climate change was impacting the lives and livelihoods of his people and that in the face of diminishing land area and opportunities, that the Kiribati should have the opportunity to determine when and how they migrate, and that in doing so that they are able to live a life that is equal to or better than the one they left behind. The Migration with Dignity framework offers an opportunity to provide policy and legal options to governments, policy makers, and NGO’s for how to improve to consider the dignity of migrants while they move, and improve the transition of migrants into new settings, while also fostering opportunities for improved livelihoods. However, in order to provide these opportunities, the framework would benefit from additional application of the fundamental elements across different contexts and in different settings. With this in mind, this article provides the necessary methodology for considering the social and legal dimensions of the framework, it also provides examples for how to apply the framework across multiple contexts.
Objective: This study investigated the moderating roles of psychological flexibility and inflexibility on the relationship between climate concern and climate-related distress. It was hypothesised that higher levels of psychological flexibility would negatively moderate the relationship between climate concern and climate-related distress, while higher levels of psychological inflexibility would positively moderate the same relationship. Methods: A moderation analysis was performed in R on a sample of 771 participants from the Prolific recruitment platform. Participants completed a survey which included a climate change concern index, the Climate Change Anxiety Scale, the Multidimensional Psychological Flexibility Inventory, and the 4-item Patient Health Questionnaire. Results: The interaction term between climate-related distress and psychological inflexibility was significant (b = -0.07, SE = 0.03, p < 0.05), indicating that psychological inflexibility is a moderator of the association between concern about climate change and climate-related distress. This model explained 23% of the variance of climate related distress symptomatology. For the same level of concern about climate change, participants who reported higher psychological inflexibility, reported higher levels of climate-related distress. Discussion: Higher psychological inflexibility may be a risk factor for climate-related distress symptomatology, particularly for those who indicate greater concern about climate change. These findings contribute to the broader psychological flexibility literature in support of using ACT-based interventions for those experiencing significant distress associated with global crises such as climate change.
The influence of temperature on childhood asthma was self-evident, yet the issue of whether the relationship will be synergized by air pollution remains unclear. The study aimed to investigate whether the relationship between short-term temperature exposure and childhood asthma hospitalization was modified by particulate matter (PM). Data on childhood asthma hospitalization, meteorological factors, and air pollutants during 2013-2016 in Hefei, China, were collected. First, a basic Poisson regression model combined with a distributed lag nonlinear model was used to assess the temperature-childhood asthma hospitalization relationship. Then, two interactive strategies were applied to explore the modification effect of PM on the temperature-childhood asthma hospitalization association. We found a greater effect of cold (5th percentile of temperature) on asthma during days with higher PM(2.5) (RR: 2.16, 95% CI: 1.38, 3.38) or PM(10) (RR: 1.87, 95% CI:1.20, 2.91) than that during days with lower PM(2.5) (RR: 1.64, 95% CI: 1.06, 2.54) or PM(10) (RR: 1.52, 95% CI: 0.98, 2.36). In addition, we observed a greater modification effect of PM(2.5) on the cold-asthma association than did PM(10), with a per 10 μg/m(3) increase in PM(2.5) and PM(10) associated with increases of 0.065 and 0.025 for the RR corresponding to the 5th temperature percentile, respectively. For the temperature-related AF, moderate cold showed the largest change magnitude with the PM levels rising compared with other temperature ranges. For the subgroup, Females and those aged 6-18 years were more sensitive to the modification effect of PM(2.5) or PM(10) on the cold-asthma association. Our findings demonstrated that particulate matter could modify the associations between temperature and childhood asthma hospitalization.
Remote sensing has been used for decades to produce vector-borne disease risk maps aiming at better targeting control interventions. However, the coarse and climatic-driven nature of these maps largely hampered their use in the fight against malaria in highly heterogeneous African cities. Remote sensing now offers a large panel of data with the potential to greatly improve and refine malaria risk maps at the intra-urban scale. This research aims at testing the ability of different geospatial datasets exclusively derived from satellite sensors to predict malaria risk in two sub-Saharan African cities: Kampala (Uganda) and Dar es Salaam (Tanzania). Using random forest models, we predicted intra-urban malaria risk based on environmental and socioeconomic predictors using climatic, land cover and land use variables among others. The combination of these factors derived from different remote sensors showed the highest predictive power, particularly models including climatic, land cover and land use predictors. However, the predictive power remained quite low, which is suspected to be due to urban malaria complexity and malaria data limitations. While huge improvements have been made over the last decades in terms of remote sensing data acquisition and processing, the quantity and quality of epidemiological data are not yet sufficient to take full advantage of these improvements.
The current paper addresses the need for making scientific knowledge easily accessible, comprehensible, and tailored for citizens, especially in urban-water habitats, enabling their behavioural change and consequent climate change resilience. It proposes a schema that integrates data from different sources and highlights their relevance to citizens (aiming to raise their awareness), the impact on the citizens’ Quality of Life as well as the way they (will have to) perform various activities. Targeted bibliographical research through online digital libraries was conducted to capture the scientific coverage and validation of this need. As an outcome, the complexity and interdependencies of environmental and behavioural health issues growth has been confirmed, and public health programs have begun to identify the need for the integration of data from diverse sources. Therefore, the proposed schema could be used for enabling better design of public health policy making.
The normative dimensions of flood harm in flood risk management (FRM) have become salient in a milieu of extreme flood events. In this article, two types of flood harm will be discussed. They are namely, risk harm and outcome harm. Whilst risk harm suggests that risk imposition by structural FRM measures is a type of harm that can increase vulnerability and diminish well-being, outcome harm is manifested in deliberate flooding used to protect certain privileged communities at the expense of harming other less privileged ones. Risk-imposing parties are required to seek consent for imposing new risks. In contrast, outcome harm as deliberate flooding is far more pernicious and should only be exercised in extreme situations with ample provisions for restitution and recovery. The aim of this article is to foreground and examine these under-explored notions of flood harm in the FRM discourse and in tandem, to expand the normative dimensions of FRM in a milieu where difficult ethical choices abound.
BACKGROUND: Over the last two decades, many sub-Saharan African (SSA) countries have undergone dietary and nutrition transitions fuelled by rapid urbanisation, economic development, and globalisation. The aim of the current study was to examine outcomes of the nutrition transition and the epidemiologic transition in SSA countries in terms of food intake, health, and socioeconomic and development factors. METHODS: Food balance sheet data-specifically, per capita energy intake per day and per capita gram intake per day-from the CountrySTAT framework of the Food and Agricultural Organization (FAO) were analysed for major food commodities. Additionally, selected health and development indicators supplied by UNICEF, the WHO and the World Bank were analysed. RESULTS: Four dietary patterns emerged. The diet of the southern African/island cluster (South Africa, Mauritius, Eswatini, Namibia, Cabo Verde, and the outlier Seychelles) resembles a Westernised diet, with median values high on sugar/sweeteners, alcohol, meat, animal fats, eggs, and dairy. On the other hand, the diet of countries in the other three clusters appears to be more traditional, with countries in the desert/semi-arid cluster consuming more cereals and pulses/tree nuts, countries in the tropical coastal cluster consuming more fish and vegetable oils, and countries in the equatorial cluster consuming more starchy roots and fruit and vegetables. The resulting median values of health indicators also indicate a higher prevalence of non-communicable diseases in the southern African/island cluster, whereas stunting and anaemia are higher in the other three clusters. CONCLUSIONS: SSA countries are in different stages of the nutrition transition. By superimposing clusters generated using macronutrient intake values on a map of the climatic regions in Africa, one can clearly see the importance of climate on the availability of food and food intake patterns. Climate change presents a great challenge to healthy eating, as the link between climate regions and diets is illustrated.
Climate change is impacting living marine resources, whilst concomitantly, global reliance on seafood as a source of nutrition is increasing. Here we review an emerging research frontier, identifying significant impacts of climate-driven environmental change on the nutritional and sensory quality of seafood, and implications for human health. We highlight that changing ocean temperature, pH and salinity can lead to reductions in seafood macro and micronutrients, including essential nutrients such as protein and lipids. However, the nutritional quality of seafood appears to be more resilient in taxa that inhabit naturally variable environments such as estuaries and shallow near-coastal habitats. We develop criteria for assessing confidence in categorising the nutritional quality of seafood as vulnerable or resilient to climate change. The application of this criteria to a subset of seafood nutritional studies demonstrates confidence levels are generally low and could be improved by more realistic experimental designs and research collaboration. We highlight knowledge gaps to guide future research in this emerging field.
The impact of support from the social media on one’s well-being among disaster survivors, particularly in the process of their relocation, has been rarely studied. To address this gap, this study examines the moderating role of interpersonal support from the social media on the relationship between post-disaster interpersonal resource losses and post-relocation adversities through the severity of PTSD symptoms. Utilizing data from the 724 post-relocatees of Typhoon Washi and Typhoon Haiyan, the results of the moderated-mediation analysis showed that controlling for age and gender, interpersonal support from the social media moderated the relationship between post-disaster interpersonal resource loss and relocation adversities through PTSD. These results suggest that post-disaster interpersonal resource loss leads to post-relocation adjustment difficulties due to heightened PTSD symptoms, particularly among those survivors who received interpersonal support from social media. The findings paradoxically demonstrate that interpersonal support from the social media may not necessarily buffer distress among post-disaster relocatees, and instead, may even exacerbate the distress associated with post-relocation difficulties.
This article argues that human health has become a key consideration in recent global reports on climate change and biodiversity produced by various international organisations; however, greater attention must be given to the unequal health impacts of climate change and biodiversity loss around the world and the different health adaptation measures that are urgently required.
BACKGROUND: This study aims to investigate the current impacts of extreme temperature and heatwaves on human health in terms of both mortality and morbidity. This systematic review analyzed the impact of heatwaves on mortality, morbidity, and the associated vulnerability factors, focusing on the sensitivity component. METHODS: This systematic review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 flow checklist. Four databases (Scopus, Web of Science, EBSCOhost, PubMed) were searched for articles published from 2012 to 2022. Those eligible were evaluated using the Navigation Guide Systematic Review framework. RESULTS: A total of 32 articles were included in the systematic review. Heatwave events increased mortality and morbidity incidence. Sociodemographic (elderly, children, male, female, low socioeconomic, low education), medical conditions (cardiopulmonary diseases, renal disease, diabetes, mental disease), and rural areas were crucial vulnerability factors. CONCLUSIONS: While mortality and morbidity are critical aspects for measuring the impact of heatwaves on human health, the sensitivity in the context of sociodemographic, medical conditions, and locality posed a higher vulnerability to certain groups. Therefore, further research on climate change and health impacts on vulnerability may help stakeholders strategize effective plans to reduce the effect of heatwaves.
Because of climate change, heavy precipitation is likely to become frequent and intense, thereby increasing the risk of shigellosis occurrence. However, few studies examined the impact of heavy precipitation on shigellosis and its impact modifiers in developed countries. This study aims to analyze the association between heavy precipitation and shigellosis in Taiwan, and to identify the vulnerable population and impact modifiers. We adopted a case-crossover design, and used conditional logistic regression to estimate odds ratios (ORs) for shigellosis occurrence. Information were collected on the daily shigellosis cases, precipitation, temperature, and typhoons from 1994 to 2015, and yearly data of medical resources and environmental factors were obtained at the city level from 1998 to 2015. Stratification analyses were performed by age, sex, medical resource, and environmental factors. We discovered that heavy precipitation ≥80 mm/day considerably increased the risk of shigellosis occurrence. The ORs of heavy rain (80 to <200 mm/day) were 2.08-2.26 at lags 0-1. The ORs of extremely heavy rain (≥200 mm/day) increased to 2.17-4.73 at lags 5-8. Moreover, the effect of heavy precipitation was greater under high temperature condition (≥23.6 °C). Adults were more susceptible to heavy-precipitation-associated shigellosis, especially the elderly. Males experienced marginally higher effects than females did. Moreover, cities with more medical resources and forest cover and higher percentage of completed storm sewers had lower effects; however, dense population and higher pig density were the risk factors. Although the high water-supply penetration rate did not decrease Shigella infection after heavy precipitation, it did lower the risk of typhoon-related shigellosis. In conclusion, hot temperature could enhance the impact of heavy precipitation on shigellosis. Public health interventions should be introduced according to the lag period after heavy precipitation, particularly in areas with high population density, proportion of elderly people, and pig density. The improvement of medical resources and tree cover as well as the construction of storm sewers and piped water systems might be mitigation measures that can be considered.
BACKGROUND: Global warming, lifestyle, or working in a high temperature environment leads to have increased health risk factors. This meta-analysis was conducted to determine the impact of high ambient temperature on male reproductive function. METHODS: Scientific articles were screened in the database including MEDLINE, EMBASE, National center for biotechnology information (NCBI) or Web of Science with relating keywords. Impact data of high ambient temperature on semen parameters were extracted and analyzed by STATA software according to the Random Effects Model. The high ambient temperature exposure group and Non-exposure group were compared using the standard mean difference (SMD). Publications were evaluated for publication bias by Egger test. RESULTS: Nine articles were finally selected from databases examining the effect of high ambient temperature on male reproductive health of 356 men from Iran, Italy, Thailand, China, Egypt. High ambient temperature showed a significant decrease in the seminal parameters, semen volume during each ejaculation (SMD = -0.74; 95% CI -1.11, -0.36), sperm concentration (SMD = -1.07; 95% CI -1.42, -0.72), total sperm count (SMD = -1.52; 95% CI -2.96, -0.08), sperm motility (SMD = -1.93; 95% CI -2.83, -1.04), sperm progressive motility (SMD = -1.65; 95% CI -2.39, -0.91) and normal morphology (SMD = -2.41; 95% CI -3.30, -1.52). CONCLUSION: High ambient temperature negatively affects sperm quality, including decreased semen volume, sperm count, sperm concentration, motility and normal morphology. This might lead to protective strategies to avoid the adverse effects of high ambient temperature on male fertility.
PURPOSE OF REVIEW: Several studies have found that air pollution and climate change can have an impact on acute coronary syndromes (ACS), the leading cause of death worldwide. We synthesized the latest information about the impact of air pollution and climate change on ACS, the latest data about the pathophysiological mechanisms of meteorological factors and atmospheric pollutants on atherosclerotic disease, and an overall image of air pollution and coronary heart disease in the context of the COVID-19 pandemic. RECENT FINDINGS: The variation of meteorological factors in different seasons increased the risk of ACS. Both the increase and the decrease in apparent temperature were found to be risk factors for ACS admissions. It was also demonstrated that exposure to high concentrations of air pollutants, especially particulate matter, increased cardiovascular morbidity and mortality. Climate change as well as increased emissions of air pollutants have a major impact on ACS. The industrialization era and the growing population cause a constant increase in air pollution worldwide. Thus, the number of ACS favored by air pollution and the variations in meteorological factors is expected to increase dramatically in the next few years.
The interface between Climate Changes and Food and Nutrition Security (FNS) has been standing out in the sustainable development agenda since the early 1990’s. Since then, studies show that climate changes have negative effects on the FNS, aggravated by poverty and social inequality. The purpose of this paper is to perform a review evidencing the relationships between climate changes and FNS. The research was carried out in PubMed using the descriptors “climate change and food security” on the headline, selecting only papers in Portuguese, Spanish, and English languages, and with a direct relation to the themes. The main impacts of climate changes on the FNS were related to the access, production, nutritional quality, and volatility of food prices. The studies also indicated mitigation/adaptation strategies to the effects of climate changes on the FNS, as well as a geographic panorama of the publications with fields of study in Africa and Asia, continents marked by social inequality and poverty. Climate changes affect the dimensions of FNS, especially in poorer populations in situation of social inequality. The relevance of the themes raises concern on the urgency of higher investments in public policies, studies, and research on the subject around the world.
This study aims to examine the mediating effect of climate resilience on the relationship between socio-economic, social relationship, social environment, and sense of community with fishermen’s subjective well-being (life satisfaction, positive feeling, and negative feeling). This quantitative study performed a multi-stage sampling and selected 400 fishermen as respondents. For analysis purpose, this study relied on Partial Least Square Structural Equation Modelling (PLS-SEM). The structural model concluded that socio-economic, social relationship, social environment, and sense of community explained 55.4% variance in resilience. The mediating analysis confirmed the resiliency mediating effect on all twelve hypothesized relationships. A number of recommendations related to extending the areas of the study, to focus specifically on the small-scale fishermen, and to consider the inclusion of several others’ additional mediating effects were highlighted.
Rapid urbanisation is affecting people in different ways, with some becoming more vulnerable to the impacts of climate change. Africa’s cities are projected to be home to nearly 60% of the continent’s population by 2050. In conjunction with climate change, these cities are experiencing critical environmental challenges, including changes in the urban thermal environment. Urban areas generally exhibit significantly higher air and surface temperatures than their surrounding rural areas, resulting in urban heat islands. However, little has been done to synthesise existing knowledge and identify the key research gaps in this area, particularly in Africa. This paper focuses on the combined effects of urbanisation and climate change on the urban thermal environment in Africa, and provides a comprehensive review of results, major advances and the dominant direction of research. Our review of 40 publications from peer-reviewed journals from 2000 to 2021 revealed that South Africa, Ethiopia and Nigeria were most frequently studied, and satellite imagery-based data and analysis were used predominantly. Results from a few studies have shown the practical implications for urban land-use planning, informal settlement management, human wellbeing and productivity, energy use, air pollution and disease spread. Integrated approaches, strengthening planning institutions, and early warning systems are proposed to address climate change. Low-income groups are emphasised in efforts to help people cope with heat stress. Solutions based on land use and land cover dynamics and blue-green infrastructure are mentioned but are in need of further research. Cities with similar patterns of urbanisation, geographies and climate conditions could benefit from multi-disciplinary research collaboration to address the combined impacts of rapid urbanisation and climate change.
Heatwaves, droughts and wildfires in 2022 raised questions about how prepared the UK is for ex-treme events and how they might become more frequent in the future. This paper reviews the im-plications of climate change for current emergency planning, and for emergency planning as an adaptation to climate change, using the UK as an example. There are seven key implications for current operational emergency planning: risk assessment needs to consider a broader range of events and changing likelihoods, a long-term perspective is necessary, response capabilities may need to be enhanced, some types of events will become less frequent but will not be eliminated, training and exercises need to consider novel events, public engagement and messaging needs to be revised to reflect increased severity of events, and improving resilience is necessary to reduce the need for emergency response. Many organisations include emergency planning as part of their climate change adaptation toolkit. However, relying on current or enhanced emergency planning procedures is unlikely to be a sufficient adaptation to a changing climate. Improved re-silience in some sectors will reduce the need for emergency planning and response, but it will not be feasible to improve resilience everywhere: the focus for emergency planning is therefore likely to evolve to reflect diverging impacts of climate change in and between communities. Achieving a balance between measures to increase resilience and measures to manage events requires a dis-cussion on appropriate standards for resilience and definitions of ’emergency’. Improving the co-ordination between emergency planning and climate change adaptation is essential to reduce current and future risks.
PURPOSE OF REVIEW: This review seeks to identify factors contributing to the changing epidemiology of Chagas disease in the United States of America (US). By showcasing screening programs for Chagas disease that currently exist in endemic and non-endemic settings, we make recommendations for expanding access to Chagas disease diagnosis and care in the US. RECENT FINDINGS: Several factors including but not limited to increasing migration, climate change, rapid population growth, growing urbanization, changing transportation patterns, and rising poverty are thought to contribute to changes in the epidemiology of Chagas disease in the US. Outlined are some examples of successful screening programs for Chagas disease in other countries as well as in some areas of the US, notably those which focus on screening high-risk populations and are linked to affordable and effective treatment options. SUMMARY: Given concerns that Chagas disease prevalence and even risk of transmission may be increasing in the US, there is a need for improving detection and treatment of the disease. There are many successful screening programs in place that can be replicated and/or expanded upon in the US. Specifically, we propose integrating Chagas disease into relevant clinical guidelines, particularly in cardiology and obstetrics/gynecology, and using advocacy as a tool to raise awareness of Chagas disease.
In Malaysia’s northern area, small-scale fishing (SSF) communities in inland open water are among the most vulnerable people. This study looked at the impact of climate change on small-scale fishing communities in Malaysia’s northern region from a vulnerability standpoint, using two vulnerability indexes. One is the Livelihood Vulnerability Index’ (LVI) and the other is the Vulnerability Framework Approach of IPCC (LVI-IPCC method). The primary purpose of this study is to assess how climate change affects small-scale fishing communities. Data on SSF households were collected at random from three states to suit the research goal: Kedah, Penang, and Perlis. For an interview, a total of 352 SSF families were contacted. According to the Livelihood Vulnerability Index (LVI) research, SSFs in Perlis are more susceptible than those in Kedah and Penang. Adjustments to food policy, health services, informal credit facilities, training, and the establishment of more effective early warning systems are all necessary initiatives that the government must take to enhance the quality of life for SSF communities.
INTRODUCTION: As global warming continues at its current rate, heatwaves are likely to become an increasing phenomenon. At present, knowledge of the influence of heatwave temperatures on fracture patient presentation to hospital remains limited. METHODS: This was a retrospective descriptive epidemiology study performed through hospital database review, linked to meteorological data. Emergency Department and Fracture Patient Presentation Data was obtained for the adult (16+) South Glasgow population (population count – 525,839) and the adult (16+) population covered by the West of Scotland Major Trauma Centre (population count – 2,218,326) from May 2021 to August 2021. This was combined with maximum temperature data, along with humidity and humidex data. Humidex is a measure which quantifies the temperature experienced by the patient, through a combined score incorporating both maximum temperature and humidity RESULTS: During the study period, there was one temperature heatwave (19th to 25th July), and four humidex heatwaves (27(th) June to 3rd July, 15th to 17th July, 19th to 27th July, 22nd to 26th August). During the temperature heatwave, there was a significantly higher incidence of orthopaedic polytrauma patient presentation (IRR 2.37: p < 0.027), as well as ED patient presentation (IRR 1.07: p < 0.036). The humidex heatwaves were associated with a significantly higher incidence of orthopaedic polytrauma patient presentation (IRR 2.31: p < 0.002) and overall fracture patient presentation (IRR 1.18: p < 0.002). Positive correlations were found between orthopaedic polytrauma patient presentation vs temperature (R=0.217: p < 0.016), ED patient presentation vs temperature (R=0.427: p < 0.001), fracture patient presentation vs temperature (R=0.394: p < 0.001), and distal radius fracture patient presentation vs temperature (R=0.246: p < 0.006). CONCLUSION: This study finds that heatwave temperatures result in a significantly increased number of orthopaedic polytrauma patients presenting to a Major Trauma Centre. Given the significant resources these patients require for care, Major Trauma Centres should be aware of such findings, and consider staff and resources profiles in response.
Converging global evidence highlights the dire consequences of climate change for human mental health and wellbeing. This paper summarises literature across relevant disciplines to provide a comprehensive narrative review of the multiple pathways through which climate change interacts with mental health and wellbeing. Climate change acts as a risk amplifier by disrupting the conditions known to support good mental health, including socioeconomic, cultural and environmental conditions, and living and working conditions. The disruptive influence of rising global temperatures and extreme weather events, such as experiencing a heatwave or water insecurity, compounds existing stressors experienced by individuals and communities. This has deleterious effects on people’s mental health and is particularly acute for those groups already disadvantaged within and across countries. Awareness and experiences of escalating climate threats and climate inaction can generate understandable psychological distress; though strong emotional responses can also motivate climate action. We highlight opportunities to support individuals and communities to cope with and act on climate change. Consideration of the multiple and interconnected pathways of climate impacts and their influence on mental health determinants must inform evidence-based interventions. Appropriate action that centres climate justice can reduce the current and future mental health burden, while simultaneously improving the conditions that nurture wellbeing and equality. The presented evidence adds further weight to the need for decisive climate action by decision makers across all scales.
INTRODUCTION: Snakebite is a public health problem in rural areas of South Asia, Africa and South America presenting mostly in primary care. Climate change and associated extreme weather events are expected to modify the snake-human-environment interface leading to a change in the burden of snakebite. Understanding this change is essential to ensure the preparedness of primary care and public health systems. METHODS: We searched five electronic databases and supplemented them with other methods to identify eight studies on the effect of climate change on the burden of snakebite. We summarised the results thematically. RESULTS: Available evidence is limited but estimates a geographic shift in risk of snakebite: northwards in North America and southwards in South America and in Mozambique. One study from Sri Lanka estimated a 31.3% increase in the incidence of snakebite. Based on limited evidence, the incidence of snakebite was not associated with tropical storms/hurricanes and droughts in the United States but associated with heatwaves in Israel. CONCLUSION: The impact of climate change and associated extreme weather events and anthropogenic changes on mortality, morbidity and socioeconomic burden of snakebite. Transdisciplinary approaches can help understand these complex phenomena better. There is almost no evidence available in high-burden nations of South Asia and sub-Saharan Africa. Community-based approaches for biodiversity and prevention, the institution of longitudinal studies, together with improving the resilience of primary care and public health systems are required to mitigate the impact of climate change on snakebite.
BACKGROUND: Tuberculosis (TB) continues to pose a major public health risk in many countries. The current incidence of disease exceeds guidelines proposed by the World Health Organisation and United Nations. Whilst the relationship between climate change and TB has surfaced in recent literature, it remains neglected in global agendas. There is a need to acknowledge TB as a climate-sensitive disease to facilitate its eradication. OBJECTIVE: To review epidemiological and prediction model studies that explore how climate change may affect the risk factors for TB, as outlined in the Global Tuberculosis Report 2021: HIV infection, diabetes mellitus, undernutrition, overcrowding, poverty, and indoor air pollution. METHODS: We conducted a systematic literature search of PubMed, Embase, and Scopus databases to identify studies examining the association between climate variables and the risk factors for TB. Each study that satisfied the inclusion criteria was assessed for quality and ethics. Studies then underwent vote-counting and were categorised based on whether an association was found. RESULTS: 53 studies met inclusion criteria and were included in our review. Vote-counting revealed that two out of two studies found a positive association between the examined climate change proxy and HIV, nine out of twelve studies for diabetes, eight out of seventeen studies for undernutrition, four out of five studies for overcrowding, twelve out of fifteen studies for poverty and one out of three studies for indoor air pollution. DISCUSSION: We found evidence supporting a positive association between climate change and each of the discussed risk factors for TB, excluding indoor air pollution. Our findings suggest that climate change is likely to affect the susceptibility of individuals to TB by increasing the prevalence of its underlying risk factors, particularly in developing countries. This is an evolving field of research that requires further attention in the scientific community.
PURPOSE: People with disabilities experience a disproportionate impact of extreme weather events and there is a critical need to better understand the impact that climate change has for them. Most previous reviews focus on the risk of acquiring a new disability or injury after a climate-related event and not the impact on people with pre-existing disabilities or chronic conditions, which is the purpose of this study. METHODS: We conducted a scoping review while searching seven international databases that identified 45 studies meeting our inclusion criteria. RESULTS: The studies included in our review involved 2 337 199 participants with pre-existing disabilities and chronic conditions across 13 countries over a 20-year period. The findings demonstrated the following trends: (1) the impact on physical and mental health; (2) the impact on education and work; (3) barriers to accessing health and community services (i.e., lack of access to services, lack of knowledge about people with disabilities, communication challenges, lack of adequate housing); and (4) coping strategies (i.e., social supports and connecting to resources) and resilience. CONCLUSIONS: Our findings highlight the critical need for rehabilitation clinicians and other service providers to explore opportunities to support their clients in preparing for climate-related emergencies.
This study analyzed the impact of climate-related natural disasters (droughts, floods, storms/rainstorms) on economic and social variables. As the Africa-specific empirical literature is limited, this study used panel data from 1961-2011 on Africa. The study used a panel data regression model analysis. The results showed that climate change-related natural disasters affected Africa’s economic growth, agriculture, and poverty and caused armed conflicts. Among the disasters, droughts are the main cause of negative impact, severely affecting crops such as maize and coffee and resulting in increased urban poverty and armed conflicts. In contrast, international aid has a positive effect but the impact is insignificant compared to the negative consequences of climate-related natural disasters. Cereal food assistance has a negative crowding-out effect on cereal production. International donors should review their interventions to support Africa’s adaptative capacity to disasters. Government efficiency has reduced the number of deaths, and this is an area that supports Africa’s adaptative efforts.
BACKGROUND: The prevalence of allergic fungal rhinosinusitis (AFRS) and its associated risk factors have been an issue of debate. Some epidemiological factors have been correlated to the disease prevalence. OBJECTIVES: To observe the prevalence pattern of AFRS worldwide and to investigate the effect of specific epidemiological factors on the disease prevalence. METHODS: A systematic review was derived from 1983 to December 2018. Data on the prevalence of AFRS were collected from the selected studies. Relevant factors assessing each city’s climate, socioeconomics and geography were used to study the association with AFRS prevalence. RESULTS: 35 cities across 5 continents were investigated. The worldwide average rate of AFRS in CRS cases is 7.8% (0.2%-26.7%) in which more than half of the investigated cities (57%) had low AFRS prevalence, while the remaining cities had intermediate (11%) and high (32%) prevalence. Cities with higher temperatures were associated with a higher prevalence of AFRS (p-value 0.002), whereas cities with humid continental climate were significantly associated with a low prevalence of AFRS (p-value 0.032). Humidity and wind speed were lower in the cities with higher AFRS prevalence (p-value 0.018 and 0.008, respectively). There were no significant correlations between AFRS prevalence and economic levels, presence of water bodies, rainfall amounts, altitude, and presence of forests. CONCLUSION: AFRS has a worldwide distribution pattern with varying prevalence. In this ecological study, we observed a correlation between AFRS prevalence and climatic factors (climate classification, humidity, temperature, and wind speed). Socioeconomic factors should be analyzed on an individual basis for better assessment of the relationship with disease prevalence.
OBJECTIVES: Under current global climate conditions, there are insufficient studies on the health influences of cold spells, especially on mental health. This study aimed to examine the effect of cold spells on schizophrenia admissions and to analyze the potential interaction effect with the air quality index (AQI). METHODS: Daily data on schizophrenia admissions and climatic variables in Hefei were collected from 2013 to 2019. Based on 20 definitions, the impacts of cold spells were quantified separately to find the most appropriate definition for the region, and meta-regression was used to explore the different effect sizes of the different days in a cold spell event. In addition, the potential interaction effect was tested by introducing a categorical variable, CSH, reflecting the cold spell and AQI level. RESULTS: The cold spell defined by temperature below the 6th centile while lasting for at least three days produced the optimum model fit performance. In general, the risk of schizophrenia admissions increased on cold spell days. The largest single-day effect occurred on the 12th day with RR = 1.081 (95% CI: 1.044, 1.118). In a single cold spell event, the effect of the 3rd and subsequent days of a cold spell (RR = 1.082, 95% CI: 1.036, 1.130) was higher than that on the 2nd day (RR = 1.054, 95% CI: 1.024, 1.085). Similarly, the effect of the 2nd day was also higher than that of the 1st day (RR = 1.027, 95% CI: 1.012, 1.042). We found a synergistic effect between cold spells and high AQI in the male group, and the relative excess risk due to interaction (RERI) was 0.018 (95% CI: 0.005-0.030). CONCLUSIONS: This study suggested that the impacts of cold spells should be considered based on the definition of the most appropriate for the region when formulating targeted measures of schizophrenia. The discovery of the synergistic effect was referred to help the selection of the timing of precautions for susceptible people.
Cyanobacteria blooms are a global aquatic environment problem. In recent years, due to global warming and water eutrophication, the surface cyanobacteria accumulate in a certain area to form cyanobacteria blooms driven by wind. Cyanobacteria blooms change the physical and chemical properties of water and cause pollution. Moreover, cyanobacteria release organic matter, N (nitrogen) and P (phosphorus) into the water during their apoptosis, accelerating the eutrophication of the water, threatening aquatic flora and fauna, and affecting the community structure and abundance of microorganisms in the water. Simultaneously, toxins and carcinogens released from cyanobacteria can be enriched through the food chain/web, endangering human health. This study summarized and analyzed the research of the influence of cyanobacteria blooms on the aquatic environment and human health, which is helpful to understand further the harm of cyanobacteria blooms and provide some reference for a related research of cyanobacteria blooms.
Background: Skin cancer, as one of the most common cancers, is partly associated with environmental conditions. Objectives: The main purpose of this study was to investigate the effect of environmental factors on the incidence of skin cancer. Methods: The dataset contains the age-standardized incidence rate (ASR) of skin cancer in all provinces of Iran during a six-year period of time. Also, there were meteorological variables for a 29-year period for the provinces. We used the mean of meteorological variables for the 29-year period for each province as predictors. The ASR of skin cancer in each province in six years was considered as the response variable. Also, gender, latitude, altitude, wind speed, relative humidity, cloudy hours duration, and maximum air temperature in each province were considered independent variables. A mixed effects polynomial regression model was applied to data analysis. Results: Based on the applied model, the trend of ASR of skin cancer in different provinces was statistically significant (P < 0.001). The ASR of skin cancer for males was more than the females (P < 0.001). Furthermore, the positive linear effect of latitude was significant (P = 0.002). However, the quadratic term showed a deceleration in the growth rate of skin cancer incidence with increasing latitude. Furthermore, there was a positive significant impact of altitude on skin cancer incidence (P = 0.045). Conclusions: Health policymakers in their prevention planning should consider geographical conditions as influencing factors on skin cancer incidence. Moreover, men should be given more attention as the main group at risk for this cancer.
Flood is one of the natural disasters with high prevalence in the world. The aim of this research was to investigate the effect of flood on pregnancy outcome and pregnancy complication such as preterm birth, LBW, SGA, stillbirth, spontaneous abortion, preeclampsia and eclampsia. This is a systematic review based on the PRISMA model that examines pregnancy disorder, pregnancy complication, and reproductive outcomes in floods. For fulfilling of the objectives of the research, related keywords were identified using Mesh and Emtree databases. Then the search was done in the electronic database of Medline, Web of Science, Embase, scopus until 2021.2.10. The search strategy in the Medline database. Database searches resulted in 823 non-duplicate records. After reading the abstracts, 808 articles were excluded. 15 abstracts were eligible for the study, which their full texts were provided. Finally based on inclusion and exclusion criteria 7 articles were included in this study. After flood, the rate of LBW birth and gestational hypertension increases. However, there is no significant difference in preterm birth rates. Pregnancy complications can be reduced or prevented by starting prenatal care early and also by controlling risk factors such as reducing smoking and alcohol consumption.
Recent record rainfall and flood events have prompted increased attention to flood impacts on human systems. Information regarding flood effects on food security is of particular importance for humanitarian organizations and is especially valuable across Africa’s rural areas that contribute to regional food supplies. We quantitatively evaluate where and to what extent flooding impacts food security across Africa, using a Granger causality analysis and panel modeling approaches. Within our modeled areas, we find that ∼12% of the people that experienced food insecurity from 2009 to 2020 had their food security status affected by flooding. Furthermore, flooding and its associated meteorological conditions can simultaneously degrade food security locally while enhancing it at regional spatial scales, leading to large variations in overall food security outcomes. Dedicated data collection at the intersection of flood events and associated food security measures across different spatial and temporal scales are required to better characterize the extent of flood impact and inform preparedness, response, and recovery needs.
Psychiatric patients are particularly vulnerable to strong weather stimuli, such as foehn, a hot wind that occurs in the alps. However, there is a dearth of research regarding its impact on mental health. This study investigated the impact of foehn wind among patients of a psychiatric hospital located in a foehn area in the Swiss Alps. Analysis was based on anonymized datasets obtained from routine records on admission and discharge, including the Brief Symptom Checklist (BSCL) questionnaire, as well as sociodemographic parameters (age, sex, and diagnosis). Between 2013 and 2020, a total of 10,456 admission days and 10,575 discharge days were recorded. All meteorological data were extracted from the database of the Federal Office of Meteorology and Climatology of Switzerland. We estimated the effect of foehn on the BSCL items using a distributed lag model. Significant differences were found between foehn and non-foehn admissions in obsession-compulsion, interpersonal sensitivity, depression, anxiety, phobic anxiety, paranoid ideation, and general severity index (GSI) (p < 0.05). Our findings suggest that foehn wind events may negatively affect specific mental health parameters in patients. More research is needed to fully understand the impact of foehn's events on mental health.
The main reservoir hosts of nematodes of the genus Trichinella are wild carnivores, although most human infections are caused by the consumption of pork. This group of zoonotic parasites completes the entire natural life cycle within the host organism. However, there is an important phase of the cycle that has only been highlighted in recent years and which concerns the permanence of the infecting larvae in the striated muscles of the host carcasses waiting to be ingested by a new host. To survive in this unique biological niche, Trichinella spp. larvae have developed an anaerobic metabolism for their survival in rotting carcasses and, for some species, a resistance to freezing for months or years in cold regions. Climate changes with increasingly temperatures and reduction of environmental humidity lower the survival time of larvae in host carcasses. In addition, environmental changes affect the biology and ecology of the main host species, reducing their number and age composition due to natural habitat fragmentation caused by increasing human settlements, extensive monocultures, increasing number of food animals, and reduction of trophic chains and biodiversity. All of these factors lead to a reduction in biological and environmental complexity that is the key to the natural host-parasite balance. In conclusion, Trichinella nematodes can be considered as an indicator of a health natural ecosystem.
BACKGROUND: Exposure to excessive heat can impact kidney health. Climate change is projected to aggravate this impact. An analysis of articles published between 1958 and 2021 was conducted to explore the progress of the research on this issue. METHODS: This study included a bibliometric analysis wherein Web of Science was used to generate a list of all published articles related to the impact of heat on kidney health. Basic information about the articles, such as titles, authors’ names, keywords, and citations, were recorded and analyzed. RESULTS: A total of 226 published articles related to the impact of heat on kidney health were identified as of November 20, 2021. Most of these articles (93%) were published within the last decade. The United States was the most prominent country in terms of research productivity and collaboration. Researchers from the United States were well represented among the top 20 contributors of published articles on the study issue. The productivity of the top 20 authors varied between 6 and 32 articles each. A total of 25 common words used by the authors were identified. The most frequently used keywords were chronic kidney disease, heat stress, acute kidney injury, Mesoamerican nephropathy, and climate change. Keyword analysis revealed 3 distinct major research clusters in the existing scientific research on the impact of heat on kidney health: chronic kidney disease of unknown etiology, heat stress and renal physiology, and the effect of climate change on kidney health. CONCLUSIONS: Research on heat-related kidney injury has witnessed rapid development in recent decades, motivated by the emergence of chronic kidney disease of unknown etiology and climate change. Developing countries in hot regions must increase their productivity in this research area through international collaboration and partnerships.
The urban heat island (UHI) effect is the main problem regarding a city’s climate. It is the main adverse effect of urbanization and negatively affects human thermal comfort levels as defined by physiological equivalent temperature (PET) in the urban environment. Blue and green infrastructure (BGI) solutions may mitigate the UHI effect. First, however, it is necessary to understand the problem from the degrading side. The subject of this review is to identify the most essential geometrical, morphological, and topographical parameters of the urbanized environment (UE) and to understand the synergistic relationships between city and nature. A four-stage normative procedure was used, appropriate for systematic reviews of the UHI. First, one climate zone (temperate climate zone C) was limited to unify the design guidelines. As a result of delimitation, 313 scientific articles were obtained (546 rejected). Second, the canonical correlation analysis (CCA) was performed for the obtained data. Finally, our research showed the parameters of the UE facilities, which are necessary to mitigate the UHI effect. Those are building density and urban surface albedo for neighborhood cluster (NH), and distance from the city center, aspect ratio, ground surface albedo, and street orientation for street canyon (SC), as well as building height, material albedo, and building orientation for the building structure (BU). The developed guidelines can form the basis for microclimate design in a temperate climate. The data obtained from the statistical analysis will be used to create the blue-green infrastructure (BGI) dynamic modeling algorithm, which is the main focus of the future series of articles.
In our current global warming climate, the growth of record-breaking heat waves (HWs) is expected to increase in its frequency and intensity. Consequently, the considerably growing and agglomerated world’s urban population becomes more exposed to serious heat-related health risks. In this context, the study of Surface Urban Heat Island (SUHI) intensity during HWs is of substantial importance due to the potential vulnerability urbanized areas might have to HWs in comparison to their surrounding rural areas. This article discusses Land Surface Temperatures (LST) reached during the extreme HW over Western North America during the boreal summer of 2021 using Thermal InfraRed (TIR) imagery acquired from TIR Sensor (TIRS) (30 m spatial resolution) onboard Landsat-8 platform and Moderate Resolution Imaging Spectroradiometer (MODIS) (1 km spatial resolution) onboard Terra/Aqua platforms. We provide an early assessment of maximum LSTs reached over the affected areas, as well as impacts in terms of SUHI over the main cities and towns. MODIS series of LST from 2000 to 2021 over urbanized areas presented the highest recorded LST values in late June 2021, with maximum values around 50 degrees C for some cities. High spatial resolution LSTs (Landsat-8) were used to map SUHI intensity as well as to assess the impact of SUHI on thermal comfort conditions at intraurban space by means of a thermal environmental quality indicator, the Urban Field Thermal Variance Index (UFTVI). The same high resolution LSTs were used to verify the existence of clusters and employ a Local Indicator of Spatial Association (LISA) to quantify its degree of strength. We identified the spatial distribution of heat patterns within the intraurban space as well as described its behavior across the thermal landscape by fitting a polynomial regression model. We also qualitatively analyze the relationship between both UFTVI and LST clusters with different land cover types. Findings indicate that average daytime SUHI intensity for the studied cities was typically within 1 to 5 degrees C, with some exceptional values surpassing 7 degrees C and 9 degrees C. During night, the SUHI intensity was reduced to variations within 1-3 degrees C, with a maximum value of +4 degrees C. The extreme LSTs recorded indicate no significant influence of HW on SUHI intensity. SUHI intensity maps of the intraurban space evidence hotspots of much higher values located at densely built-up areas, while urban green spaces and dense vegetation show lower values. In the same manner, UTFVI has shown “no” SUHI for densely vegetated regions, water bodies, and low-dense built-up areas with intertwined dense vegetation, while the “strongest” SUHI was observed for non-vegetated dense built-up areas with low albedo material such as concrete and pavement. LST was evidenced as a good marker for assessing the influence of HWs on SUHI and recognizing potential thermal environmental consequences of SUHI intensity. This finding highlights that remote-sensing based LST is particularly suitable as an indicator in the analysis of SUHI intensity patterns during HWs at different spatial resolutions. LST used as an indicator for analyzing and detecting extreme temperature events and its consequences seems to be a promising means for rapid and accurate monitoring and mapping.
The fungal kingdom represents an extraordinary diversity of organisms with profound impacts across animal, plant, and ecosystem health. Fungi simultaneously support life, by forming beneficial symbioses with plants and producing life-saving medicines, and bring death, by causing devastating diseases in humans, plants, and animals. With climate change, increased antimicrobial resistance, global trade, environmental degradation, and novel viruses altering the impact of fungi on health and disease, developing new approaches is now more crucial than ever to combat the threats posed by fungi and to harness their extraordinary potential for applications in human health, food supply, and environmental remediation. To address this aim, the Canadian Institute for Advanced Research (CIFAR) and the Burroughs Wellcome Fund convened a workshop to unite leading experts on fungal biology from academia and industry to strategize innovative solutions to global challenges and fungal threats. This report provides recommendations to accelerate fungal research and highlights the major research advances and ideas discussed at the meeting pertaining to 5 major topics: (1) Connections between fungi and climate change and ways to avert climate catastrophe; (2) Fungal threats to humans and ways to mitigate them; (3) Fungal threats to agriculture and food security and approaches to ensure a robust global food supply; (4) Fungal threats to animals and approaches to avoid species collapse and extinction; and (5) Opportunities presented by the fungal kingdom, including novel medicines and enzymes.
BACKGROUND: Sustained elevated concentration of GHGs is predicted to increase global mortality. With the Australian health sector responsible for 7% of the nation’s GHG emissions, the benefits and costs of various decarbonisation trajectories are currently being investigated. To assist with this effort, we model the impact earlier decarbonisation has on temperature-related mortality. DESIGN: We used DICE-EMR, an Integrated Assessment Model with an endogenous mortality response, to simulate Australian GHG trajectories and estimate the temperature-related mortality impact of early decarbonisation. We modelled a linear decline of the Australian health sector’s and economy’s GHG annual emissions to net-zero targets of 2040 and 2050. MAIN OUTCOME MEASURE: Deaths averted and monetary-equivalent welfare gain. RESULTS: Decarbonisation of the Australian health sector by 2050 and 2040 is projected to avert an estimated 69,000 and 77,000 global temperature-related deaths respectively in a Baseline global emissions scenario. Australian economy decarbonisation by 2050 and 2040 is projected to avert an estimated 988,000 and 1,101,000 global deaths respectively. Assuming a low discount rate and high global emissions trajectory, we estimate a monetary equivalent welfare gain of $151 billion if the Australian health sector decarbonises by 2040, only accounting for the benefits in reducing temperature-related mortality. CONCLUSIONS: Earlier decarbonisation has a significant impact on temperature-related mortality. Many uncertainties exist and health impacts other than temperature-related mortality are not captured by this analysis. Nevertheless, such models can help communicate the health risk of climate change and improve climate policy decision making.
Green infrastructure has the potential to cool urban environments and reduce the health burden due to heatwaves. This study develops a new method to quantify the benefits of urban heat mitigation technologies on human heat balance and population mortality. The Heat Health Impact (HHI) method is based on the state-ofthe-art, multi-parameter model, Universal Thermal Climate Index (UTCI).A proof-of-concept exercise applied the HHI method to Sydney, Australia (population = 5.7 million). All available weather stations (10) were selected for full spatial coverage of the Sydney region (12,367 km2), and average hourly UTCI was calculated from meteorological observations spanning the entire year 2017. In the baseline analysis, average daily UTCI values were calculated for each of the 10 observation sites, and then spatially interpolated across the entire Sydney region for Feb 9, 2017, a representative heatwave day for Sydney. Three different greening intervention scenarios were investigated, and daily average change in UTCI (Delta UTCI) was calculated under each by comparison with the baseline scenario; this Delta UTCI was named Urban Cooling Effect (UCE). We implemented a health impact assessment methodology to estimate the change in attributable mortality due to each greening scenario for the Sydney GMR population for the representative heatwave day. Urban greening infrastructure scenarios reduced daily average UTCI between -0.2 and -1.7 degrees C on the heatwave day, with the health impact assessment indicating heat attributable deaths reducing up to 11.7 per day across the Sydney GMR compared to the baseline scenario. Our results highlight the health benefits of greening infrastructure to cool urban environments.
Excessive greenhouse gas emissions might be the major culprit for environmental degradation, which have direct and indirect adverse impacts in various ways. As the largest emitter of carbon emissions, China suffered great harm from climate change during the past 40 years. Therefore, it becomes necessary to study the impact of carbon emissions on health issues and their potential mechanism. Using the panel data from 30 provinces in China between 2002 and 2017, this study employes and extends the Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model and mediating effect model to analyze the direct and indirect effects of carbon emissions. The main results are as follows: (1) Carbon emissions has a certain negative impact on public health, which would increase with the rise of temperature. (2) The increase in carbon emissions has a more significant negative effect on health with the average temperature exceeding 17.75 °C, indicating that the temperature has a threshold effect. (3) The potential health risks become higher with the development of urbanization, but there is no obvious spillover effect in the health consequences. The results remain robust after controlling other factors. This study supplements the literature of climate governance and human health, potentially contributing to the next stage of high-quality and sustainable development.
Although cities can be characterised as sources of economic, environmental and social challenges, they can also be part of the solution for healthy and sustainable societies. While most cities are situated close to water, whether inland waterways, lakes, or the sea, these blue spaces are not integrated into urban planning to their full potential and their public health impacts are not always recognised by planning authorities. Furthermore, cities face future challenges regarding climate change, socio-economic developments like tourism, urbanization, and rising social inequalities. The development of healthy blue spaces can support cities in their pursuit of ways to confront these challenges. Interdisciplinary and transdisciplinary analyses of the local impacts of these trends and promising interventions have been scarce to date. This study explores the use of such methodology by presenting experiences related to five European cities: Amsterdam, Barcelona, Plymouth, Tallinn and Thessaloniki, using an interactive and participative approach with local experts and stakeholders. Future scenarios have been developed based on the question: How can blue spaces contribute to a healthier city population, given the long term trends? The results highlight the importance of addressing the local context when seeking sustainable solutions for cities. The future scenarios deliver information that could serve as useful input for local planning processes.
Heat waves are extreme weather and climate events that threaten public health by increasing morbidity and mortality. To reduce the health effects of heat waves, it is necessary to increase the knowledge level of the public, conduct awareness and protection activities and monitor these activity outcomes. The present study aimed to develop and validate a Turkish language scale of heat wave knowledge, awareness, practice and behavior for Turkish nationality. After item generation and creating dimensions, content validity analysis was performed. To evaluate the validity and reliability of the knowledge construct, the difficulty index, discriminant index and Kuder Richardson 20 (KR20) were used. The validity and reliability of the awareness, practice and behavior constructs were evaluated with exploratory and confirmatory factor analyses, and Cronbach’s alpha was used. The 15 items had a good difficulty, discrimination index and KR20 in the knowledge construct. The 14 items were yielded in EFA; 13 items were retained in CFA, and Cronbach’s alpha values of 0.878, 0.768, 0.855, and 0.858 were obtained for total items, practice, awareness and behavior, respectively. Eventually, a Turkish language scale was developed that is reliable and valid for assessing heat wave knowledge, awareness, practice and behavior.
It is of great practical significance to analyze the hot issues, research frontiers, and trends concerning the relationship between air pollution and public health and to adopt reasonable strategies to control air pollution and prevent health hazards for follow-up research in this field. Unlike traditional literature reviews, this paper adopts a visual, flexible, and scientifically systematic approach to the analysis, which makes these analysis results more intuitive and comprehensive. Based on the core collection of the Web of Science and CNKI databases, this paper uses CiteSpace software to draw and comment on the maps of Chinese and English keywords, publishing time, author, country, and research institutions in this field. The results show the following: (1) The number of studies on the relationship between air pollution and health has increased year by year; researchers have formed sub cooperation networks, and the trend of cooperation and exchange has become more and more obvious in recent years; the impact of air pollution on health is a hot topic in the world. (2) Research hot topics mainly focus on the selection of air pollutants, health economic consequences of air pollution and the global burden of disease it causes, health indicators, research samples, which are gradually being refined, the synergistic governance of air pollution, and climate change. (3) The analysis of research frontiers and trends reveals that, first, the study of air pollutants in the English literature has undergone a refinement from nitrogen dioxide to fine particulate matter, and the sources of air pollutants in the Chinese literature have undergone changes in the petrochemical industry, indoor formaldehyde pollution, and haze. Second, atmospheric pollution has a significant negative impact on health, increasing the incidence of respiratory and cardiovascular diseases, and even causing death. Third, sustained exposure to pollution then causes greater damage to health and will be a key direction for future research. Fourth, the literature not only studies the correlation but also emphasizes the causal inference between air pollution and health and measures the economic costs associated with health. Finally, air pollution and climate change need to be governed synergistically. The article points out that the three areas of sustained pollution exposure, indirect consequences of negative health effects of air pollution, and air pollution and climate change may be the future focus of the field.
Air pollution (AP) represents one of the main environmental threats to public health and exposure to AP has been connected to upper airway (UA) disease. We evaluated the relationships between the ENT urgent referrals recorded at the Hospital of Padua and the daily levels of particulate matter (PM) as well as other environmental factors in a single year. Patients with UA disorders were included in the study group while those referred for facial trauma or foreign body inhalation formed the control group. Daily PM concentrations, meteorological data and the concentrations of the commonest aeroallergens were obtained. 6368 patients formed the study group and 910 the control one. The concentration of compositae allergens showed a positive effect on the total number of admissions (p = 0.001). PM10 did not demonstrate an effect on the total number of admissions or either the study or control groups admissions (p = 0.25). Alternaria positively influenced admissions of patients in the study group (p = 0.005). Significant relationships were found between the following: PM10 measured on the seventh day before A&E admission and rhinosinusitis (p = 0.007), PM10 on the fifth day and laryngitis (p = 0.01), PM10 on the second day and otitis media (p = 0.03), PM10 on the admission day and epistaxis (p = 0.0198). Our study confirms the causal relationship between aeroallergen concentration and ENT admissions. The levels of PM10 at specific days preceding A&E admission correlated with certain UA disorders. This study strongly points towards the harmful effects of pollution and climate change on UA disease.
Climate change has important implications on human health, affecting almost every system in the body. Multiple studies have raised the possibility of climate change impacting eye health. In this review, we aimed to summarize current literature on the impact of air pollution and climate change on eye health. We performed a search in four different databases, including Medline, Scopus, Cochrane, and Web of Sciences databases. The search strategy combined terms regarding eye health and environmental/climate changes. The outcome of interest included all eye conditions. The search yielded 2,051 unique articles. After applying inclusion and exclusion criteria, 61 articles were included in this systematic review with data covering 2,620,030 participants. Most studies originated from China, India, South Korea, and USA. Climate change adversely affected different eye conditions, with ocular surface diseases (e.g., conjunctivitis and dry eye) being most affected. Moreover, higher particulate matter (PM) was the most widely assessed pollutant and was adversely associated with the majority of eye conditions, increasing the burden on patients and healthcare providers. We found a low frequency of publications related to the delivery of eye care and its impact on climate change in countries with high air pollution and climate change burden.
The reality of human induced climate change is no longer in doubt, but the concerted global action required to address this existential crisis remains inexcusably inert. Together with climate change, biodiversity collapse is increasingly driving the emergence and spread of infectious diseases, the consequences of which are inequitable globally. Climate change is regressive in its nature, with those least responsible for destroying planetary health at greatest risk of suffering the direct and indirect health consequences. Over half a billion of the world’s children live in areas vulnerable to extreme weather events. Without immediate action, the health of today’s children and future generations will be compromised. We consider the impact of biodiversity collapse on the spread of infectious diseases and outline a duty of care along a continuum of three dimensions of medical ethics. From a medical perspective, the first dimension requires doctors to serve the best interests of their individual patients. The second dimension considers the public health dimension with a focus on disease control and cost-effectiveness. The neglected third dimension considers our mutual obligation to the future health and wellbeing of children and generations to come. Given the adverse impact of our ecological footprint on current and future human health, we have a collective moral obligation to act.
This review paper aimed to summarize the climate change impacts on water sources and their relation with human and ecosystem health and evaluate better management strategies. In aquatic environments, climate change causes alteration of biodiversity and species distribution, changes in the duration of biological functions, decreasing productivities, alteration in food web structures, as well as triggering the invasion of various species, and variation in the presence, abundance, and concentrations of various co-stressors. Since the beginning of the 20th century, the surface water temperature in the oceans has risen by about 1 degrees C. Consequently, human well-being is directly and indirectly affected by these alterations. The World Health Organization (WHO) estimates 3.5 million people die from water-related diseases each year. It is projected that the number of water-related diseases will increase due to the effects of climate change. To cope with these problems, alternative water management strategies should be developed to have resilient water systems in terms of both ecological and technological perspectives. Thus, water management requires the cooperation of many sectors including citizens, institutions, public and private sectors, etc. within a multi-stakeholder approach.
BACKGROUND AND AIM: Dengue hemorrhagic fever (DHF) is an infectious disease caused by the dengue virus (DENV) and is transmitted through the bite of the Aedes aegypti and Aedes albopictus mosquitoes. This study aims to analyze the relationship between the incidence of DHF which can be influenced by climatic factors in the same month (non-time lag), climatic factors with a lag of 1 month (time lag 1), climatic factors with a lag of 2 months (time lag 2), population density, and vector density. METHODS: The study design used is an ecological study. The data is sourced from the South Jakarta City Administration of Health, the South Jakarta City Administration of Central Statistics, and the Meteorology, Climatology and Geophysics Agency. Data were analyzed using correlation test. RESULTS: The results showed that the incidence of DHF was related to non-time lag rainfall, time lag 1, and time lag 2, air temperature time lag 2, air humidity non-time lag, time lag 1, and time lag 2, population density, and numbers of mosquito’s larvae free index (ABJ). CONCLUSIONS: DHF is still a disease that needs to be watched out for in the South Jakarta Administrative City, requiring the government and the people of the South Jakarta Administration to continue to increase efforts to prevent and control DHF.
Recently, global epidemic models that use climatological factors have been proposed to explain influenza activities for both temperate and tropical regions. In this paper, these global models were extended by including interactions of climatological factors. This study was aimed to estimate the relative benefits of such interactions in explaining the global influenza epidemics. The effects of four climatological factors on laboratory-confirmed influenza cases were investigated, i.e., weekly temperature, precipitation, absolute humidity and relative humidity. It was found that countries in Europe and Australia have higher forecast skill, indicating the stronger relationship of influenza with climatological factors, than regions in other continents. The influenza activities of 47 (83%) countries can be explained with a closer match using multi-factor interactions along with original factors than only using the original factors. The temperate countries are characterized by the interaction of factors of temperature and absolute/relative humidity. In contrast, the interaction of factors of precipitation and absolute/relative humidity are dominant in tropical countries.
PURPOSE: This study assesses the potential acute effects of heatwaves on human morbidities in primary care settings. METHODS: We performed a time-stratified case-crossover study to assess the acute effects of heatwaves on selected morbidities in primary care settings in Flanders, Belgium, between 2000 and 2015. We used conditional logistic regression models. We assessed the effect of heatwaves on the day of the event (lag 0) and X days earlier (lags 1 to X). The associations are presented as Incidence Density Ratios (IDR). RESULTS: We included 22,344 events. Heatwaves are associated with increased heat-related morbidities such as heat stroke IDR 3.93 [2.94-5.26] at lag 0, dehydration IDR 3.93 [2.94-5.26] at lag 1, and orthostatic hypotension IDR 2.06 [1.37-3.10] at lag 1. For cardiovascular morbidities studied, there was only an increased risk of stroke at lag 3 IDR 1.45 [1.04-2.03]. There is no significant association with myocardial ischemia/infarction or arrhythmia. Heatwaves are associated with decreased respiratory infection risk. The IDR for upper respiratory infections is 0.82 [0.78-0.87] lag 1 and lower respiratory infections (LRI) is 0.82 [0.74-0.91] at lag 1. There was no significant effect modification by age or premorbid chronic disease (diabetes, hypertesnsion). CONCLUSION: Heatwaves are associated with increased heat-related morbidities and decreased respiratory infection risk. The study of heatwaves’ effects in primary care settings helps evaluate the impact of heatwaves on the general population. Primary care settings might be not suitable to study acute life-threatening morbidities.
BACKGROUND: The health impacts of climate warming are usually quantified based on daily average temperatures. However, extra health risks might result from hot nights. We project the future mortality burden due to hot nights. METHODS: We selected the hot night excess (HNE) to represent the intensity of night-time heat, which was calculated as the excess sum of high temperature during night time. We collected historical mortality data in 28 cities from three east Asian countries, from 1981 to 2010. The associations between HNE and mortality in each city were firstly examined using a generalised additive model in combination with a distributed lag non-linear model over lag 0-10 days. We then pooled the cumulative associations using a univariate meta-regression model at the national or regional levels. Historical and future hourly temperature series were projected under two scenarios of greenhouse-gas emissions from 1980-2099, with ten general circulation models. We then projected the attributable fraction of mortality due to HNE under each scenario. FINDINGS: Our dataset comprised 28 cities across three countries (Japan, South Korea, and China), including 9 185 598 deaths. The time-series analyses showed the HNE was significantly associated with increased mortality risks, the relative mortality risk on days with hot nights could be 50% higher than on days with non-hot nights. Compared with the rise in daily mean temperature (lower than 20%), the frequency of hot nights would increase more than 30% and the intensity of hot night would increase by 50% by 2100s. The attributable fraction of mortality due to hot nights was projected to be 3·68% (95% CI 1·20 to 6·17) under a strict emission control scenario (SSP126). Under a medium emission control scenario (SSP245), the attributable fraction of mortality was projected to increase up to 5·79% (2·07 to 9·52), which is 0·95% (-0·39 to 2·29) more than the attributable fraction of mortality due to daily mean temperature. INTERPRETATION: Our study provides evidence for significant mortality risks and burden in association with night-time warming across Japan, South Korea, and China. Our findings suggest a growing role of night-time warming in heat-related health effects in a changing climate. FUNDING: The National Natural Science Foundation of China, Shanghai International Science and Technology Partnership Project.
Temperature impacts biological systems across all length and timescales. Cells and the enzymes that comprise them respond to temperature fluctuations on short timescales, and temperature can affect protein folding, the molecular composition of cells, and volume expansion. Entire ecosystems exhibit temperature-dependent behaviors, and global warming threatens to disrupt thermal homeostasis in microbes that are important for human and planetary health. Intriguingly, the growth rate of most species follows the Arrhenius law of equilibrium thermodynamics, with an activation energy similar to that of individual enzymes but with maximal growth rates and over temperature ranges that are species specific. In this review, we discuss how the temperature dependence of critical cellular processes, such as the central dogma and membrane fluidity, contributes to the temperature dependence of growth. We conclude with a discussion of adaptation to temperature shifts and the effects of temperature on evolution and on the properties of microbial ecosystems.
Dirofilaria repens is a nematode affecting domestic and wild canids, transmitted by several species of mosquitoes of different genera. It usually causes a non-pathogenic subcutaneous infection in dogs and is the principal agent of human dirofilariasis in the Old World. The geographic distribution of D. repens is changing rapidly, and several factors contribute to the spread of the infection to non-endemic areas. A mathematical model for transmission of Dirofilaria spp. was built, using a system of ordinary differential equations that consider the interactions between reservoirs, vectors, and humans. The transmission simulations of D. repens were carried out considering a projection in time, with intervals of 15 and 100 years. For the dynamics of the vector, seasonal variations were presented as series with quarter periodicity during the year. The results of the simulations highlight the peak of contagions in the reservoir and in humans, a product of the action of the vector when it remains active throughout the year. A 300% infection increase in the reservoir was observed during the first decade and remains present in the population with a representative number of cases. When the vector maintains its density and infectivity during the year, the incidence of the infection in humans increases. Accumulated cases amount to 45 per 100,000 inhabitants, which corresponds to a cumulative incidence of 0.05%, in 85 years. This indicates that early prevention of infection in canids would significantly reduce the disease, also reducing the number of accumulated cases of human dirofilariasis by D. repens. The interaction between the simulations generated by the model highlights the sensitivity of the epidemiological curve to the periodicity of seasonality, reaffirming the hypothesis of the probability of movement of the zoonotic disease to non-endemic areas, due to climate change.
Deadly humid heat conditions exceeding human thermoregulatory capacity have been reported; however, whether and where the deadly humid heat events occur consecutively across the land surface are largely unknown. We calculate the maximum consecutive days of deadly humid heat, defined as daily maximum wet-bulb temperature (TWmax) >= 35 degrees C, for observations of 9,278 meteorological stations and for simulations of 14 global climate models. We further define short and long deadly humid heatwaves as a period of 3-4 and >= 5 consecutive days with daily TWmax >= 35 degrees C, respectively. Our analyses show that six stations in some subtropical regions have experienced deadly humid heat with daily TWmax >= 35 degrees C, but only occurs in individual days. Deadly humid heatwaves increase exponentially as the global mean temperature rising. When limiting global warming within 1.5 degrees C, long deadly humid heatwaves will not occur across the land surface, and short deadly humid heatwaves will only emerge in some drylands but not in humid areas. Under 2 degrees C warming, 0.09% of the global land, 0.42% of the human population, and 0.56% of the global centres of crop diversity are projected to be exposed to long deadly humid heatwaves. Meanwhile, 18% of the deadly humid heatwaves lasting >= 3 consecutive days will occur in humid areas; the fractions are projected to rapidly increase in humid areas as temperature rising further. At the end of the century, the percentage of land areas and human population exposed to deadly humid heatwaves lasting >= 3 consecutive days are expected to be 76-times higher than that under 1.5 degrees C warming level. Our finding suggests that keeping global warming within 1.5 degrees C will significantly constrain the emergence of prolonged deadly humid heatwaves and thus reduce the risk of the human population especially outdoor agricultural workers.
The accelerating environmental degradation as a result of modernisation and climate change is an urgent threat to human health. Environment change can impact kidney health in a variety of ways such as water scarcity, global heating and changing biodiversity. Ever increasing industrialization of health care has a large carbon footprint, with dialysis being a major contributor. There have been calls for all stakeholders to adopt a ‘one health approach’ and develop mitigation and adaptation strategies to combat this challenge. Because of its exquisite sensitivity to various elements of environment change, kidney health can be a risk marker and a therapeutic target for such interventions. In this narrative review, we discuss the various mechanisms through which environmental change is linked to kidney health and the ways that the global kidney health communities can respond to environmental change.
BACKGROUND: Individual, community, and societal health is impacted by the environment, specifically by air, water and soil pollution, and climate change. Poor environmental conditions have been associated with many illness exacerbations. Although global nursing organizations have increased their environmental health focus, evidence is lacking that Canadian nurse leaders and organizations are similarly invested. PURPOSE: The purpose of this analysis was to explore the policies of Canadian nursing regulatory bodies and associations on nursing practice specific to environmental health. METHODS: A content analysis of nursing focused position statements and competency documents was conducted to assess Canadian nursing policies in environmental health. Publicly available position statements and competency documents regarding health and the environment were retrieved from Canadian nursing regulatory colleges and nursing associations, the Canadian Nursing Associations, and the International Council of Nurses. All documents were coded inductively and thematically analyzed. RESULTS: In total, 22 documents were retrieved which consisted of 11 policy statements from nursing associations and 11 competency documents from nursing regulators and national associations. Four themes were generated: collaboration, language of engagement, nursing actions, and social justice. CONCLUSION: There is a gap between nursing policies and competencies directing nursing action related to the health of the environment across Canada. There is an opportunity to improve eco-literacy within the nursing profession, undergraduate education and to produce nursing research on environmental health.
BACKGROUND: Health care has significant environmental impact. We performed a scoping review to map what is known about the environmental impact of health care for musculoskeletal conditions. METHODS: We included published papers of any design that measured or discussed environmental impact of health care or health support services for any musculoskeletal condition in terms of climate change or global warming (e.g., greenhouse gas emissions it produces). We searched MEDLINE and Embase from inception to 2 May 2022 using keywords for environmental health and musculoskeletal conditions, and performed keyword searches using Google and Google Scholar. Two independent reviewers screened studies. One author independently charted data, verified by a second author. A narrative synthesis was performed. RESULTS: Of 12,302 publications screened and 73 identified from other searches, 122 full-text articles were assessed for eligibility, and 49 were included (published 1994 to 2022). Of 24 original research studies, 11 measured environmental impact relating to climate change in orthopaedics (n = 10), and medical aids for the knee (n = 1), one measured energy expenditure of laminar versus turbulent airflow ventilation systems in operating rooms during simulated hip replacements and 12 measured waste associated with orthopaedic surgery but did not relate waste to greenhouse gas emissions or environmental effects. Twenty-one editorials described a need to reduce environmental impact of orthopaedic surgery (n = 9), physiotherapy (n = 9), podiatry (n = 2) or occupational therapy (n = 1). Four narrative reviews discussed sustainability relating to hand surgery (n = 2), orthopaedic surgery (n = 1) and orthopaedic implants (n = 1). CONCLUSION: Despite an established link between health care and greenhouse gas emissions we found limited empirical data estimating the impact of musculoskeletal health care on the environment. These data are needed to determine whether actions to lower the carbon footprint of musculoskeletal health care should be a priority and to identify those aspects of care that should be prioritised.
Climate change poses one of the most critical threats to humanity. Surgical care needs to be considered in relation to the impending climate emergency. Little thought appears to have been given to the role of operating departments as a high-yield target for environmental change. This article evaluates the environmental impact of orthopaedic surgery, focusing on anaesthesia, waste management and surgical hardware. Developing ‘green’ operating protocols should be the minimum expectation of orthopaedic departments. Just as the management of complex surgical pathology requires a multidisciplinary approach, mitigating the environmental impact of surgical endeavour requires collective action and buy-in.
INTRODUCTION: In the last decades, we have seen a rapid increase in the prevalence of allergic diseases such as asthma, allergic rhinitis, atopic dermatitis, and food allergies. The environmental changes caused by industrialization, urbanization and modernization, including dramatic increases in air pollutants such as particulate matter (PM), diesel exhaust, nitrogen dioxide (NO2), ozone (O3), alarming effects of global warming, change and loss of biodiversity, affect both human health and the entire ecosystem. OBJECTIVE: In this review, we aimed to discuss the effects of the external exposome on epithelial barriers and its relationship with the development of allergic diseases by considering the changes in all stakeholders of the outer exposome together, in the light of the recently proposed epithelial barrier hypothesis. METHOD: To reach current, prominent, and comprehensive studies on the subject, PubMed databases were searched. We included the more resounding articles with reliable and strong results. RESULTS: Exposure to altered environmental factors such as increased pollution, microplastics, nanoparticles, tobacco smoke, food emulsifiers, detergents, and household cleaners, and climate change, loss and change in microbial biodiversity, modifications in the consumption of dietary fatty acids, the use of emulsifiers, preservatives and the decrease in the antioxidant content of the widely consumed western diet may disrupt the epithelial barriers of the skin, respiratory and gastrointestinal tracts, making us more vulnerable to exogeneous allergens and microbes. Epithelial cell activation, microbial dysbiosis and bacterial translocation disrupt the immune balance and a chronic Th2 inflammation ensues. CONCLUSION: Dramatic increases in air pollution, worrisome effects of global warming, dysbiosis, changing dietary habits and the complex interactions of all these factors affect the epithelial barriers and local and systemic inflammation. We want to draw attention to the emerging health effects of environmental changes and to motivate the public to influence government policies for the well-being of humans and the nature of the earth and the well-being of future generations.
Although several studies have concluded that excess winter deaths are not a suitable indicator of cold-related health impacts, the investigation of temporal fluctuation in mortality across many European countries could provide an insight into the seasonal variation of deaths at different climatic conditions. We investigated the evolution over time of the Excess Winter Deaths Index (EWDI) and the Summer-to-Winter Deaths ratio (S/W) for the period 1960-2018 and the temporal fluctuation of the Heating and Cooling Degree Days indices for the period 1979-2020. We found a clear spatial pattern of EWDI with statistically significant decreasing trends in Mediterranean countries and increasing trends in Nordic countries. On the other hand, S/W index shown increasing trends in Mediterranean region and decreasing trends in Nordic countries. Statistical analysis of Heating Degree Days index showed significant decreasing trends for all European countries, probably due to the appearance of milder winters. Also, the values of Cooling Degree Days index exhibited a statistically significant upward trend for Mediterranean countries, mainly due to increased frequency of warmer summers, as a result of climate change. This study shows that the differences in seasonal variation of mortality between European countries are likely to disappear, as the climate gets warmer. A possible explanation for our findings is that climate change already brings milder winters and hotter summers to the Mediterranean countries, while in the Nordic countries global warming causes less severe winters and more pleasant summers as shown from Heating and Cooling Degree Days analysis. In addition to providing a basis to investigate potential effects of global warming on human mortality, the findings of this study are likely to be crucial for climate change policy and developing relevant adaptation strategies in Europe.
Purpose This paper aims to explore the ecological efficiency through assessing the relation of the “carbon intensity of well-being” (CIWB) to gender equality, gross domestic product (GDP)/capita, the urban intensity of the population, the age structure of the population, foreign direct investment as a percentage of GDP and manufacturing as a percentage of GDP. Design/methodology/approach CIWB equation is estimated for a panel of 18 MENA economies and Turkey over the period 1995-2018 using the two-way fixed effects Prais-Winsten regression with panel-corrected standard errors. Findings The elasticity coefficients obtained from the estimated models indicated mixed effects on CIWB. While the increase of female educational attainment, accompanied with an increase in the female labor force participation rate, reduce CIWB, the younger female population and the younger population, in general, increase CIWB. Furthermore, while increasing FDI inflows reduces CIWB, increasing the manufacturing share of GDP increases CIWB. Originality/value The pursuit of Sustainable Development Goals worldwide has moved the relevant literature on climate change mitigation and adaptation measures to a new level, where using the CIWB method is increasingly used to reflect carbon dioxide emissions per capita unit of expected lifespan. The present paper’s contribution to the literature is two-fold: one is computing and estimating the CIWB to examine ecological efficiency for the middle east and north africa (MENA) economies and Turkey over the period of study; and two is integrating and validating the beneficial impacts of integrating the gender equality dimension in the CIWB-climate change literature.
Multiple studies imply a strong relationship between global warming (GW) and complex disorders. This review summarizes such reports concentrating on three disorders-mental disorders (MD), primary hypertension, and type 2 diabetes (T2D). We also attempt to point at potential mechanisms mediating the effect of GW on these disorders. Concerning mental disorders, immediate candidates are brain levels of heat-shock proteins (HSPs). In addition, given that heat stress increases reactive oxygen species (ROS) levels which may lead to blood-brain barrier (BBB) breakdown and, hence, enhanced protein extravasation in the brain, this might finally cause, or exacerbate mental health. As for hypertension, since its causes are incompletely understood, the mechanism(s) by which heat exposure affects blood pressure (BP) is an open question. Since the kidneys participate in regulating blood volume and BP they are considered as a site of heat-associated disease, hence, we discuss hyperosmolarity as a potential mediator. In addition, we relate to autoimmunity, inflammation, sodium excretion, and HSP70 as risk factors that might play a role in the effect of heat on hypertension. In the case of T2D, we raise two potential mediators of the effect of exposure to ambient hot environment on the disease’s incidence-brown adipose tissue metabolism and HSPs.
Children, and particularly infants, have physiological, anatomic, and social factors that increase vulnerability to temperature extremes. We performed a systematic review to explore the association between acute adverse infant outcomes (children 0-1 years) and exposure to high and low ambient temperatures. MEDLINE (Pubmed), Embase, CINAHL Plus, and Global Health were searched alongside the reference lists of key papers. We included published journal papers in English that assessed adverse infant outcomes related to short-term weather-related temperature exposure. Twenty-six studies met our inclusion criteria. Outcomes assessed included: infant mortality (n = 9), sudden infant death syndrome (n = 5), hospital visits or admissions (n = 5), infectious disease outcomes (n = 5), and neonatal conditions such as jaundice (n = 2). Higher temperatures were associated with increased risk of acute infant mortality, hospital admissions, and hand, foot, and mouth disease. Several studies identified low temperature impacts on infant mortality and episodes of respiratory disease. Findings on temperature risks for sudden infant death syndrome were inconsistent. Only five studies were conducted in low- or middle-income countries, and evidence on subpopulations and temperature-sensitive infectious diseases was limited. Public health measures are required to reduce the impacts of heat and cold on infant health.
Polycyclic aromatic hydrocarbons (PAHs) are formed during incomplete combustion of organic matter, and firefighters are highly exposed to these toxic compounds at fire sites. Exposure to PAHs can cause cognitive decline and neurodegeneration; however, to date, few studies have examined the potential effects of PAH exposure on structural changes in the brain. We aimed to investigate the association between the four types of PAH metabolites and the corresponding changes in neuroimaging markers based on smoking status and hypertension in male firefighters. For this, we utilized the 2-year follow-up data of 301 Korean male firefighters aged over 40 years. The concentrations of four PAH metabolites in urine were measured. Subcortical volume and cortical thickness were estimated using 3 T magnetic resonance imaging of the brain. A generalized linear model was used to investigate the effects of PAHs on changes in the subcortical volume and cortical thickness. We found an association between 1-hydroxyphenathrene (1-OHPHE) and 2-hydroxyfluorene (2-OHF) and changes in several brain regions in all the study participants. Individuals who had never smoked showed significantly thinner frontal (p < 0.001), parietal (p < 0.001), temporal (p < 0.001), and cingulate lobes (p < 0.001) with 1% increase each in the urinary concentration of 1-OHPHE. Hypertension interacted with the concentration of 1-OHPHE to reduce the volume of gray matter and cause cortical thinning in the frontal, parietal, and temporal lobes. Exposure to PAHs may reduce cortical thickness and subcortical volume, which are definitive markers of neurodegeneration. Notably, hypertension can accelerate the degenerative effects of PAHs.
BACKGROUND: The long-term effect of abnormal climate on cognitive function and socioeconomic status remains elusive. We explored the association between prenatal exposure to climate anomaly and adulthood cognitive function and job reputation. METHODS: We obtained repeated cognitive and job reputation measurements from 17,105 subjects for the years 2010, 2014, and 2018, and ascertained their birth date and other covariates. We used sea surface temperature (SST) anomalies in the Southern Pacific Ocean as the indicator for global climate anomaly in the main analyses. We calculated its averaged values for different gestational periods and analyzed its possible nonlinear associations with adulthood cognitive function and job reputation. We also calculated associated economic loss due to prenatal exposure to abnormal climate. RESULTS: We found an inverted U-shaped curve between climate anomaly and adulthood cognition. During the entire pregnancy, for SST anomalies increasing/decreasing 1 °C from 0 °C, newborn individuals will have adulthood cognition (measured by math test) changed by -2.09% (95% confidence interval (CI): -2.31%, -1.88%) and -3.98% (95% CI: -4.32%, -3.65%), respectively. We observed a similar inverted U-shaped pattern for cognitive function measured by word test and job reputation. Such an association is likely to be mediated by regional meteorological conditions, not local ones. Subgroup analyses identified females and people from less-developed regions as even more vulnerable to prenatal abnormal climate, finding an interactive effect with other social factors. The economic loss was assessed as the salary reduction due to declined cognition among all newborn individuals in China. For SST anomalies increasing/decreasing by 1 °C from 0 °C, individuals born each year in China would earn 0.33 (95% CI: 0.40, 0.25) and 1.09 (95% CI: 1.23, 0.94) billion U.S. dollars equivalent less in their annual salary at adulthood because of lowered cognitive function, respectively. CONCLUSION: Prenatal exposure to abnormal global climate patterns can result in declined adulthood cognitive function, lowered job reputation, and subsequent economic loss.
BACKGROUND: Physical activity is an important factor in premature mortality reduction, non-communicable disease prevention, and well-being protection. Climate change will alter temperatures globally, with impacts already found on mortality and morbidity. While uncomfortable temperature is often perceived as a barrier to physical activity, the actual impact of temperature on physical activity has been less well studied, particularly in China. This study examined the associations between temperature and objectively measured physical activity among adult populations in five major Chinese cities. METHODS: Aggregated anonymized step count data was obtained between December 2017-2018 for five major Chinese cities: Beijing, Shanghai, Chongqing, Shenzhen, and Hong Kong. The associations of temperature with daily aggregated mean step count were assessed using Generalized Additive Models (GAMs), adjusted for meteorological, air pollution, and time-related variables. RESULTS: Significant decreases in step counts during periods of high temperatures were found for cold or temperate climate cities (Beijing, Shanghai, and Chongqing), with maximum physical activity occurring between 16 and 19.3 °C. High temperatures were associated with decreases of 800-1500 daily steps compared to optimal temperatures. For cities in subtropical climates (Shenzhen and Hong Kong), non-significant declines were found with high temperatures. Overall, females and the elderly demonstrated lower optimal temperatures for physical activity and larger decreases of step count in warmer temperatures. CONCLUSIONS: As minor reductions in physical activity could consequentially affect health, an increased awareness of temperature’s impact on physical activity is necessary. City-wide adaptations and physical activity interventions should seek ways to sustain physical activity levels in the face of shifting temperatures from climate change.
Malaysia Mosquito Autocidal Trap (MyMAT) is a green technology Aedes mosquito trap that does not use harmful chemical substances. This study aimed to evaluate the efficiency of MyMAT in reducing dengue cases and relating the cases to rainfall. An experimental field study was conducted for 42 weeks at Pangsapuri Nilam Sari, Shah Alam, Selangor. A total of 624 MyMAT was allocated at four blocks: inside each apartment and outside at the corridors in each level. Mosquito and rainfall data were collected weekly using MyMAT and a mobile rain gauge, respectively. The dengue cases data was retrieved from the e-dengue system obtained from the Malaysia Ministry of Health. The findings showed that MyMAT could catch 97% of Aedes mosquitoes and reduced dengue cases on average of 78%, indicating MyMAT is a reliable Aedes mosquito trap. Interestingly the findings also revealed a significant relationship between dengue cases, the number of Aedes mosquitoes, and rainfall. This week notified dengue cases increased when last two weeks mosquitoes increased due to previous two weeks rainfall increment. Thus indicating an indirect but significant relationship between this week notified dengue cases with the last four weeks rainfall. These relationships can be used in establishing a dengue outbreak forecasting model, which can act as an early warning system.
Current land-use and climate change patterns lead to disruption in ecosystem services provisioning essential for human well-being. Actions representing alternatives to business-as-usual trend can reduce negative impacts, but their effectiveness across ecosystems, climatic zones and scales is unclear. Here, we analyse how land recovery and climate action can counteract adverse effects of current trends on nature and safeguard provisioning of ecosystem services. Using a meta-analysis approach, we compiled 410 estimates of how land recovery or climate action may alter impacts expected from business-as-usual trends. We show that both alternatives can reduce negative effects on several nature indicators. The magnitude of the effects, however, is context-dependent, revealing their potential complementarity. Land recovery showed highest benefits in terrestrial and freshwater systems in temperate zones and mostly acts at subnational scale. Contrastingly, climate action is more important in coastal and oceanic systems and in tropical regions, where benefits are larger on a regional to global scale. Our results show that land recovery and climate action will be imperative to reduce risks that would be imposed on nature by business-as-usual trends otherwise. We conclude that a better evaluation of which contexts are best suited for certain actions is a first step towards securing nature and the ecosystem services necessary to guarantee human well-being and the fulfilment of the sustainability agenda.
Urban residents suffer more from heat stress, compared to people living in rural areas, due to the urban heat island (UHI) effect. Mitigation of UHI is thus essential to improving human thermal comfort and living environment in urban residential areas. However, little attention has been paid to the integrated effect of UHI mitigation strategies on human thermal comfort, which is influenced by the combination of temperature, humidity, wind, and radiation. This study evaluates the effectiveness of two promising UHI mitigation strategies, cool and green roofs, in improving human thermal comfort during a heatwave in Berlin. Human thermal comfort is represented by the Universal Thermal Climate Index (UTCI), calculated by combining the Weather Research and Forecasting model coupled with the Urban Canopy Model (WRF/UCM) with the RayMan model. The results show that cool roofs outperform green roofs in reducing urban temperatures, especially at night. Besides temperature reduction, both strategies show lower wind speed, lower mean radiant temperature, and higher relative humidity. These combined effects lead to a city-scale decrease in UTCI. Cool roofs reduce more UTCI than green roofs, although they both shorten the duration of strong heat stress from 7 h d-1 to 5 h d-1. A higher albedo and irrigation can strengthen the cooling effect of cool and green roofs, respectively. Our study can deepen the understanding of the mechanism of natural infrastructure in improving human thermal comfort, providing scientific guidance for future city management.
PURPOSE OF REVIEW: Climate change is the biggest public health threat of the twenty-first century but its impact on the perinatal period has only recently received attention. This review summarizes recent literature regarding the impacts of climate change and related environmental disasters on pregnancy health and provides recommendations to inform future adaptation and mitigation efforts. RECENT FINDINGS: Accumulating evidence suggests that the changing climate affects pregnancy health directly via discrete environmental disasters (i.e., wildfire, extreme heat, hurricane, flood, and drought), and indirectly through changes in the natural and social environment. Although studies vary greatly in design, analytic methods, and assessment strategies, they generally converge to suggest that climate-related disasters are associated with increased risk of gestational complication, pregnancy loss, restricted fetal growth, low birthweight, preterm birth, and selected delivery/newborn complications. Window(s) of exposure with the highest sensitivity are not clear, but both acute and chronic exposures appear important. Furthermore, socioeconomically disadvantaged populations may be more vulnerable. Policy, clinical, and research strategies for adaptation and mitigation should be continued, strengthened, and expanded with cross-disciplinary efforts. Top priorities should include (a) reinforcing and expanding policies to further reduce emission, (b) increasing awareness and education resources for healthcare providers and the public, (c) facilitating access to quality population-based data in low-resource areas, and (d) research efforts to better understand mechanisms of effects, identify susceptible populations and windows of exposure, explore interactive impacts of multiple exposures, and develop novel methods to better quantify pregnancy health impacts.
This paper provides a new explanation for ethnic disparities in education and health in Vietnam by studying the relationship between frequent, small-scale adverse rainfall shocks and child human capital. Exploiting plausibly random year-to-year variation in weather data that are linked to a longitudinal household-and individual-level dataset over the period 2008-2017, I find that excess rainfall during the annual typhoon season results in lower child subjective health status and school enrollment, with disproportionate effects on children of ethnic minorities. The negative lagged effects on education are concentrated in children at primary school start age, suggesting delaying children’s school entry is a shock-coping strategy for poor ethnic minority households, albeit with potentially big negative long-run effect on their child lifetime earnings. Estimates suggest that rainfall shocks can explain approximately 28% of the observed ethnic gap in enrollment rates of children age 16-18 in the sample during the study period, and most is due to heterogeneous effects of rainfall shocks among ethnic groups, not differences in exposure to rainfall shocks.
Climate change affects mental health through multiple pathways, including direct and indirect impacts, physical health and awareness of the climate crisis. Climate change increases the magnitude and frequency of extreme events with little or no time for recovery. This Review aims to provide an overview of the current evidence to inform the mental health field’s response to climate change. While further innovation is needed, promising approaches for health professionals are identified at the levels of interventions for individuals, community and system-wide responses, and advocacy and education. Health worker training is important, so we offer guidance on mental health assessment and clinical risks from climate change. We also outline strategies to enhance individual and community psychological resilience and promising approaches to working with people experiencing emerging climate-related disorders. Beyond clinical care, mental health professionals can lead on climate action and sustainability in health care and can research and educate on the health effects of climate change.
The Aedes aegypti mosquito is the main vector for several diseases of global importance, such as dengue and yellow fever. This species was first identified on Madeira Island in 2005, and between 2012 and 2013 was responsible for an outbreak of dengue that affected several thousand people. However, the potential distribution of the species on the island remains poorly investigated. Here we assess the suitability of current and future climatic conditions to the species on the island and complement this assessment with estimates of the suitability of land use and human settlement conditions. We used four modelling algorithms (boosted regression trees, generalized additive models, generalized linear models and random forest) and data on the distribution of the species worldwide and across the island. For both climatic and non-climatic factors, suitability estimates predicted the current distribution of the species with good accuracy (mean area under the Receiver Operating Characteristic curve = 0.88 ±0.06, mean true skill statistic = 0.72 ±0.1). Minimum temperature of coldest month was the most influential climatic predictor, while human population density, residential housing density and public spaces were the most influential predictors describing land use and human settlement conditions. Suitable areas under current climates are predicted to occur mainly in the warmer and densely inhabited coastal areas of the southern part of the island, where the species is already established. By mid-century (2041-2060), the extent of climatically suitable areas is expected to increase, mainly towards higher altitudes and in the eastern part of the island. Our work shows that ongoing efforts to monitor and prevent the spread of Ae. aegypti on Madeira Island will have to increasingly consider the effects of climate change.
BACKGROUND: Symptomatic dengue infection can result in a life-threatening shock syndrome and timely diagnosis is essential. Point-of-care tests for non-structural protein 1 and IgM are used widely but performance can be limited. We developed a supervised machine learning model to predict whether patients with acute febrile illnesses had a diagnosis of dengue or other febrile illnesses (OFI). The impact of seasonality on model performance over time was examined. METHODS: We analysed data from a prospective observational clinical study in Vietnam. Enrolled patients presented with an acute febrile illness of <72 h duration. A gradient boosting model (XGBoost) was used to predict final diagnosis using age, sex, haematocrit, platelet, white cell, and lymphocyte count collected on enrolment. Data was randomly split 80/20% into a training and hold-out set, respectively, with the latter not used in model development. Cross-validation and hold out set testing was used, with performance over time evaluated through a rolling window approach. RESULTS: We included 8,100 patients recruited between 16th October 2010 and 10th December 2014. In total 2,240 (27.7%) patients were diagnosed with dengue infection. The optimised model from training data had an overall median area under the receiver operator curve (AUROC) of 0.86 (interquartile range 0.84-0.86), specificity of 0.92, sensitivity of 0.56, positive predictive value of 0.73, negative predictive value (NPV) of 0.84, and Brier score of 0.13 in predicting the final diagnosis, with similar performances in hold-out set testing (AUROC of 0.86). Model performances varied significantly over time as a function of seasonality and other factors. Incorporation of a dynamic threshold which continuously learns from recent cases resulted in a more consistent performance throughout the year (NPV >90%). CONCLUSION: Supervised machine learning models are able to discriminate between dengue and OFI diagnoses in patients presenting with an early undifferentiated febrile illness. These models could be of clinical utility in supporting healthcare decision-making and provide passive surveillance across dengue endemic regions. Effects of seasonality and changing disease prevalence must however be taken into account-this is of significant importance given unpredictable effects of human-induced climate change and the impact on health.
Information on the allergenic pollen season provides insight on the state of the environment of a region and facilitates allergy symptom management. We present a retrospective analysis of the duration and severity of the allergenic pollen season and the role of meteorological factors in Istanbul, Turkey. Aerobiological sampling from January 2013 to June 2016, pollen identification and counting followed current standard methodology. Pollen seasons were defined according to 95% of the Annual Pollen Integral (APIn) and the season start date was compared with the first day of 5 day consecutive non-zero records. Generalized additive models (GAMs) were created to study the effect of meteorological factors on flowering. The main pollen contributors were taxa of temperate and Mediterranean climates, and neophytic Ambrosia. Cupressaceae, Poaceae, Pinaceae, Quercus and Ambrosia had the greatest relative abundance. The pollen season defined on 95% of the APIn was adequate for our location with total APIns around 10.000 pollen*day*m(-3). Woody taxa had generally shorter seasons than herbaceous taxa. In trees, we see precipitation as the main limiting factor for assimilate production prior to anthesis. A severe tree pollen season in 2016 suggests intense synchronous flowering across taxa and populations triggered by favourable water supply in the preceding year. GAM models can explain the effect of weather on pollen concentrations during anthesis. Under the climatic conditions over the study period, temperature had a negative effect on spring flowering trees, and a positive one on summer flowering weeds. Humidity, atmospheric pressure and precipitation had a negative effect on weeds. Our findings contribute to environmental and allergological knowledge in southern Europe and Turkey with relevancy in the assessment of impacts of climate change and the management of allergic disease.
We investigate the effect of extreme temperatures on mortality and emergency hospital admissions, and whether local social care allows to mitigate their adverse effects. We merge monthly administrative data on mortality and hospital discharge from Italian municipalities for the period 2001-2015 with daily data on local weather conditions, and yearly data on disaggregated municipal expenditure. We compare two different measures of temperature shocks, one using the conventional approach based on absolute levels (without accounting for regional heterogeneity) and the other based on deviations from local mean temperatures. The former approach shows noisy evidence of an increase in mortality due to extremely hot days while the latter approach shows a large increase in mortality and hospital admissions for cardiovascular and respiratory diseases due to both cold and hot days. These effects are mostly driven by the oldest age group and partially by young children. Then, we report evidence of a mitigating effect of social expenditure on the impact of extremely hot and cold days on both emergency hospital admission and mortality rates. A back of the envelope calculation suggests that the additional social care expenditure is fully compensated by the benefits arising from the lower impact of temperature shocks.
USGCRP’s 2022-2031 Strategic Plan lays the foundation for meeting a new set of challenges and demands for useful, accessible, and inclusive data and information alongside advancements in understanding of a rapidly changing environment. It was developed by
The MJA-Lancet Countdown on health and climate change in Australia was established in 2017 and produced its first national assessment in 2018 and annual updates in 2019, 2020 and 2021. It examines five broad domains: climate change impacts, exposures and vulnerability; adaptation, planning and resilience for health; mitigation actions and health co-benefits; economics and finance; and public and political engagement. In this, the fifth year of the MJA-Lancet Countdown, we track progress on an extensive suite of indicators across these five domains, accessing and presenting the latest data and further refining and developing our analyses. Within just two years, Australia has experienced two unprecedented national catastrophes – the 2019-2020 summer heatwaves and bushfires and the 2021-2022 torrential rains and flooding. Such events are costing lives and displacing tens of thousands of people. Further, our analysis shows that there are clear signs that Australia’s health emergency management capacity substantially decreased in 2021. We find some signs of progress with respect to health and climate change. The states continue to lead the way in health and climate change adaptation planning, with the Victorian plan being published in early 2022. At the national level, we note progress in health and climate change research funding by the National Health and Medical Research Council. We now also see an acceleration in the uptake of electric vehicles and continued uptake of and employment in renewable energy. However, we also find Australia’s transition to renewables and zero carbon remains unacceptably slow, and the Australian Government’s continuing failure to produce a national climate change and health adaptation plan places the health and lives of Australians at unnecessary risk today, which does not bode well for the future.
BACKGROUND: Allergic rhinitis affects half a billion people globally, including a fifth of the Australian population. As the foremost outdoor allergen source, ambient grass pollen exposure is likely to be altered by climate change. The AusPollen Partnership aimed to standardize pollen monitoring and examine broad-scale biogeographical and meteorological factors influencing interannual variation in seasonality of grass pollen aerobiology in Australia. METHODS: Daily airborne grass and other pollen concentrations in four eastern Australian cities separated by over 1700 km, were simultaneously monitored using Hirst-style samplers following the Australian Interim Pollen and Spore Monitoring Standard and Protocols over four seasons from 2016 to 2020. The grass seasonal pollen integral was determined. Gridded rainfall, temperature, and satellite-derived grassland sources up to 100 km from the monitoring site were analysed. RESULTS: The complexity of grass pollen seasons was related to latitude with multiple major summer-autumn peaks in Brisbane, major spring and minor summer peaks in Sydney and Canberra, and single major spring peaks occurring in Melbourne. The subtropical site of Brisbane showed a higher proportion of grass out of total pollen than more temperate sites. The magnitude of the grass seasonal pollen integral was correlated with pasture greenness, rainfall and number of days over 30 °C, preceding and within the season, up to 100 km radii from monitoring sites. CONCLUSIONS: Interannual fluctuations in Australian grass pollen season magnitude are strongly influenced by regional biogeography and both pre- and in-season weather. This first continental scale, Southern Hemisphere standardized aerobiology dataset forms the basis to track shifts in pollen seasonality, biodiversity and impacts on allergic respiratory diseases.
This study addresses the limited work related to Heat Stress (HS) vulnerability within indoor/outdoor contexts and its relationship with local Extreme Heat Events (EHEs). Centred upon Ankara, the study focuses on building upon its weaker approach to human thermophysiological vulnerabilities in an era of climate change, and unregulated urban densification. Through newly defined local EHEs, the physiologically equivalent temperature (PET) (and its cumulative derivatives), were utilised to develop the limited approaches that utilise Energy Based Models in the scope of EHE risk management. The study was undertaken by processing hourly data from 2008 to 2020 from Ankara’s Meteorological Station, and Esenboga Meteorological Station. At a finer 10 min resolution, an interior Kestrel Heat-stress Station was used to assess summer thermal conditions in 2020 within a thermally vulnerable, yet still very frequent, residential Turkish construction typology. Among other outcomes, the results indicated the permanency of indoor PET that remained above 27 degrees C during non EHE periods. In the case of a Very Hot Day (VHD33), PET remained between 29 and 32.9 degrees C for almost 24 h. The thermal index also indicated how forced convective cooling led to indoor reductions of PET by 3-4 K, and in duration of such HS levels to less than 2 h.
This study aimed to examine the short-term effects of ambient temperature on hospital admissions due to respiratory diseases among Hanoi residents. We collected 34,653 hospital admissions for 365 days (November 1, 2017, to November 31, 2018) from two hospitals in Hanoi. A quasi-Poisson regression model with time series analysis was used to explore the temperature-health outcome relationship’s overall pattern. The non-linear curve indicated the temperatures with the lowest risk range from 22 degrees (Celcius) to 25 degrees (Celcius). On average, cold temperatures showed a higher risk than hot temperatures across all genders and age groups. Hospital admissions risk was highest at 13 degrees (Celcius) (RR = 1.39; 95% CI = 1.26-1.54) for cold effects and at 33 degrees (Celcius) (RR = 1.21, 95% CI = 1.04-1.39) for the hot effects. Temporal pattern analysis showed that the most effect on respiratory diseases occurred at a lag of 0 days for hot effect and at a lag of 1 day for cold effect. The risk of changing temperature among women and people over 5 years old was higher than other groups. Our results suggest that the risk of respiratory admissions was greatest when the temperature was low. Public health prevention programs should be enhanced to improve public awareness about the health risks of temperature changes, especially respiratory diseases risked by low temperatures.
Although previous research frequently indicates that climate factors impact dengue transmission, the results are inconsistent. Therefore, this systematic review and meta-analysis highlights and address the complex global health problems towards the human-environment interface and the inter-relationship between these variables. For this purpose, four online electronic databases were searched to conduct a systematic assessment of published studies reporting the association between dengue cases and climate between 2010 and 2022. The meta-analysis was conducted using random effects to assess correlation, publication bias and heterogeneity. The final assessment included eight studies for both systematic review and meta-analysis. A total of four meta-analyses were conducted to evaluate the correlation of dengue cases with climate variables, namely precipitation, temperature, minimum temperature and relative humidity. The highest correlation is observed for precipitation between 83 mm and 15 mm (r = 0.38, 95% CI = 0.31, 0.45), relative humidity between 60.5% and 88.7% (r = 0.30, 95% CI = 0.23, 0.37), minimum temperature between 6.5 °C and 21.4 °C (r = 0.28, 95% CI = 0.05, 0.48) and mean temperature between 21.0 °C and 29.8 °C (r = 0.07, 95% CI = -0.1, 0.24). Thus, the influence of climate variables on the magnitude of dengue cases in terms of their distribution, frequency, and prevailing variables was established and conceptualised. The results of this meta-analysis enable multidisciplinary collaboration to improve dengue surveillance, epidemiology, and prevention programmes.
The 2020 COVID-19 outbreak in New South Wales (NSW), Australia, followed an unprecedented wildfire season that exposed large populations to wildfire smoke. Wildfires release particulate matter (PM), toxic gases and organic and non-organic chemicals that may be associated with increased incidence of COVID-19. This study estimated the association of wildfire smoke exposure with the incidence of COVID-19 in NSW. A Bayesian mixed-effect regression was used to estimate the association of either the average PM(10) level or the proportion of wildfire burned area as proxies of wildfire smoke exposure with COVID-19 incidence in NSW, adjusting for sociodemographic risk factors. The analysis followed an ecological design using the 129 NSW Local Government Areas (LGA) as the ecological units. A random effects model and a model including the LGA spatial distribution (spatial model) were compared. A higher proportional wildfire burned area was associated with higher COVID-19 incidence in both the random effects and spatial models after adjustment for sociodemographic factors (posterior mean = 1.32 (99% credible interval: 1.05-1.67) and 1.31 (99% credible interval: 1.03-1.65), respectively). No evidence of an association between the average PM(10) level and the COVID-19 incidence was found. LGAs in the greater Sydney and Hunter regions had the highest increase in the risk of COVID-19. This study identified wildfire smoke exposures were associated with increased risk of COVID-19 in NSW. Research on individual responses to specific wildfire airborne particles and pollutants needs to be conducted to further identify the causal links between SARS-Cov-2 infection and wildfire smoke. The identification of LGAs with the highest risk of COVID-19 associated with wildfire smoke exposure can be useful for public health prevention and or mitigation strategies.
Our results suggested that short-term exposure to particulate matter (PM) might increase the risks of hospitalizations for osteoporotic fractures. Government should protect its citizens by putting in place policies to reduce unhealthy emissions and air pollution. INTRODUCTION: Osteoporotic fractures are accompanied by high rates of disability and mortality. PM has been linked with many health outcomes. However, few studies focus on the association of short-term exposure to ambient PM and osteoporotic fractures. METHODS: Data on daily mean air pollution, meteorological factors, and hospitalizations for osteoporotic fractures were collected from Hangzhou, China, 2020-2021. A time-stratified case-crossover design with extended Cox proportional hazards regression was applied to assess the associations between PM and osteoporotic fractures. RESULTS: Short-term exposure to PM significantly increased the risks of hospitalizations for osteoporotic fractures at cumulative lag days. Per 10 μg/m(3) increased in PM(2.5) (PM with an aerodynamic diameter ≤ 2.5 μm), PM(C) (PM with an aerodynamic diameter between 2.5 μm and 10 μm), and PM(10) (PM with an aerodynamic diameter ≤ 10 μm) were associated with 5.65% (95% confidence intervals (CIs): 1.29, 10.19), 3.19% (0.11, 6.36), and 2.45% (0.57, 4.37) increase in hospitalizations for osteoporotic fractures, respectively. Significant PM-osteoporotic fracture associations were only observed in females and people aged over 65 years old. For the season, the estimates of PM on hospitalizations for osteoporotic fractures were 6.30% (95% CIs: 1.62, 11.20) in the cold season vs. 2.16% (95% CIs: - 4.62, 9.42) in the warm season for per 10 μg/m(3) increase of PM(2.5), and 0.99 (95% CIs: - 2.69, 4.80) vs. 6.72% (95% CIs: 0.68, 13.13) for PM(C). CONCLUSIONS: Our study showed PM was positively linked with the risk of osteoporotic fractures. Females and people aged over 65 years old were more susceptible to PM. The adverse impacts of PM(2.5) in the cold season and PM(C) in the warm season were worthy of special attention.
BACKGROUND: Stroke is a leading cause of death and disability in East Asia. Owing to the aging population and high prevalence of stroke, East Asia might suffer a disproportionately heavy burden of stroke under the changing climate. However, the evidence relevant is still limited in this area. OBJECTIVE: To evaluate the stroke mortality risk due to heat exposure in East Asia and predict its burden under various future climate change scenarios. METHODS: We conducted a multi-center observational study and collected data from 22 representative cities in three main East Asian countries (i.e., China, Japan, and South Korea) from 1972 to 2015. The two-stage time-series analyses were applied to estimate the effects of heat on stroke mortality at the regional and country level. We further projected the burden of heat-related stroke mortality using 10 global climate models (GCMs) under four shared socioeconomic pathway and representative concentration pathway (SSP-RCP) scenarios, including SSP1-RCP1.9, SSP1-RCP2.6, SSP2-RCP4.5, and SSP5-RCP8.5 scenarios. RESULTS: In the present study, a total of 287,579 stroke deaths were collected during the warm season. Heat was significantly associated with an increased risk of stroke mortality. Overall, compared with the 2010 s, the heat-related attributable fraction (AF) was projected to increase in the 2090 s, with increments ranging from 0.8 % to 7.5 % across various climate change scenarios. The heat-related AF was projected to reach 11.9 % (95 % empirical confidence interval [eCI]: 6.1 %, 17.5 %) in the 2090 s under the SSP5-RCP8.5 scenario in China, while the corresponding estimates were 6.6 % (95 % eCI: 2.5 %, 11.0 %) and 5.1 % (95 % eCI: 1.2 %, 9.1 %) for Japan and South Korea, respectively. CONCLUSIONS: Climate change will exacerbate the burden of heat-related stroke mortality but with considerable geographical heterogeneity in East Asia.
Extrinsic environmental factors influence the spatiotemporal dynamics of many organisms, including insects that transmit the pathogens responsible for vector-borne diseases (VBDs). Temperature is an especially important constraint on the fitness of a wide variety of ectothermic insects. A mechanistic understanding of how temperature impacts traits of ectotherms, and thus the distribution of ectotherms and vector-borne infections, is key to predicting the consequences of climate change on transmission of VBDs like malaria. However, the response of transmission to temperature and other drivers is complex, as thermal traits of ectotherms are typically nonlinear, and they interact to determine transmission constraints. In this study, we assess and compare the effect of temperature on the transmission of two malaria parasites, Plasmodium falciparum and Plasmodium vivax, by two malaria vector species, Anopheles gambiae and Anopheles stephensi. We model the nonlinear responses of temperature dependent mosquito and parasite traits (mosquito development rate, bite rate, fecundity, proportion of eggs surviving to adulthood, vector competence, mortality rate, and parasite development rate) and incorporate these traits into a suitability metric based on a model for the basic reproductive number across temperatures. Our model predicts that the optimum temperature for transmission suitability is similar for the four mosquito-parasite combinations assessed in this study, but may differ at the thermal limits. More specifically, we found significant differences in the upper thermal limit between parasites spread by the same mosquito (A. stephensi) and between mosquitoes carrying P. falciparum. In contrast, at the lower thermal limit the significant differences were primarily between the mosquito species that both carried the same pathogen (e.g., A. stephensi and A. gambiae both with P. falciparum). Using prevalence data, we show that the transmission suitability metric S(T) calculated from our mechanistic model is consistent with observed P. falciparum prevalence in Africa and Asia but is equivocal for P. vivax prevalence in Asia, and inconsistent with P. vivax prevalence in Africa. We mapped risk to illustrate the number of months various areas in Africa and Asia predicted to be suitable for malaria transmission based on this suitability metric. This mapping provides spatially explicit predictions for suitability and transmission risk.
Climate change threatens sustainable development by influencing myriad of outcomes. We examine if temperature shocks contribute to the gambling, which is a major public health concern globally. We use longitudinal data from the Household, Income and Labour Dynamics in Australia (HILDA) survey coupled with satellite data capturing neighbourhood temperature shocks. Our results suggest that temperature shocks increase the prevalence of gambling, and that psychological distress and social capital are channels through which temperature shocks transmit to gambling behaviour. Our results point to the need for policies that promote mental health and encourage social capital amidst extreme weather events in order to offset the effects of weather shocks on gambling behaviour.
BACKGROUND: Dengue is endemic in the Philippines. Aedes aegypti is the primary vector. This study aimed to determine the hatching behavior and viability of Ae. aegypti first-generation (F1) eggs when exposed to temperature and photoperiod regimes under laboratory conditions. METHODS: Parental eggs were collected from selected highland and lowland sites in the Philippine big islands (Luzon, Visayas, and Mindanao) during the wet (2017-2018) and dry (2018) seasons. F1 egg cohorts were exposed separately in environmental chambers at 18, 25, and 38 °C with respective photoperiods for 6 weeks. Phenotypes (percent pharate larvae [PPL], hatch rates [HRs], and reproductive outputs [ROs]) were determined. RESULTS: Results of multivariate analyses of variance (MANOVA) between seasons showed significant main effects of temperature, season, and big island on all phenotypes across all sites. Significant interaction effects between seasons on all phenotypes across sites were shown between or among (1) season and big island, (2) season and temperature, (3) big island and temperature, (4) season, big island, and temperature, (5) big island, altitude, and temperature, and (6) season, big island, altitude, and temperature. Factors associated with the big islands might include their ecology, available breeding sites, and day lengths due to latitudinal differences, although they were not measured in the field. MANOVA results within each season on all phenotypes across sites showed (1) significant main effects of big island and temperature, and (2) significant interaction effects between big island and temperature within the wet season and (3) between temperature and photoperiod within the dry season. PPL were highest at 18 °C and were formed even at 38 °C in both seasons. Pharate larvae might play an adaptive role in global warming, expanded distribution to highlands, and preponderance to transmit human diseases. HRs in both seasons were highest at 25 °C and lowest at 38 °C. ROs were highest at 25 °C in the wet season and at 18 °C in the dry season. CONCLUSIONS: Temperature and latitude of Philippine big islands influenced the development-related phenotypes of Ae. aegypti in both seasons. The two seasons influenced the phenotypes and their interaction effects with big island and/or temperature and/or altitude. Recommendations include year-round enhanced 4S control strategies for mosquito vectors and water pipeline installation in rural highlands.
BACKGROUND: Climate change has led to increased interest in studying adverse health effects relating to ambient temperatures. It is unclear whether incident chest pain is associated with non-optimal temperatures and how chest pain presentation rates might be affected by climate change. METHODS: The study included ambulance data of chest pain presentations in Melbourne, Australia from 1/1/2015 to 30/6/2019 with linkage to hospital and emergency discharge diagnosis data. A time series quasi-Poisson regression with a distributed lag nonlinear model was fitted to assess the temperature-chest pain presentation associations overall and according to age, sex, socioeconomic status, and event location subgroups, with adjustment for season, day of the week and long-term trend. Future excess chest pain presentations associated with cold and heat were projected under six general circulation models under medium and high emission scenarios. RESULTS: In 206,789 chest pain presentations, mean (SD) age was 61.2 (18.9) years and 50.3 % were female. Significant heat- and cold-related increased risk of chest pain presentations were observed for mean air temperatures above and below 20.8 °C, respectively. Excess chest pain presentations related to heat were observed in all subgroups, but appeared to be attenuated for older patients (≥70 years), patients of higher socioeconomic status (SES), and patients developing chest pain at home. We projected increases in heat-related chest pain presentations with climate change under both medium- and high-emission scenarios, which are offset by decreases in chest pain presentations related to cold temperatures. CONCLUSIONS: Heat- and cold- exposure appear to increase the risk of chest pain presentations, especially among younger patients and patients of lower SES. This will have important implications with climate change modelling of chest pain, in particular highlighting the importance of risk mitigation strategies to minimise adverse health impacts on hotter days.
BACKGROUND: Adverse health impacts have been found under extreme temperatures in many parts of the world. The majority of such research to date for the UK has been conducted on populations in England, whilst the impacts of ambient temperature on health outcomes in Scottish populations remain largely unknown. METHODS: This study uses time-series regression analysis with distributed lag non-linear models to characterise acute relationships between daily mean ambient temperature and mortality in Scotland including the four largest cities (Aberdeen, Dundee, Edinburgh and Glasgow) and three regions during 1974-2018. Increases in mortality risk under extreme cold and heat in individual cities and regions were aggregated using multivariate meta-analysis. Cold results are summarised by comparing the relative risk (RR) of death at the 1(st) percentile of localised temperature distributions compared to the 10(th) percentile, and heat effects as the RR at the 99(th) compared to the 90(th) percentile. RESULTS: Adverse cold effects were observed in all cities and regions, and heat effects were apparent in all cities and regions except northern Scotland. Aggregate all-cause mortality risk in Scotland was estimated to increase by 10% (95% confidence interval, CI: 7%, 13%) under extreme cold and 4% (CI: 2%, 5%) under extreme heat. People in urban areas experienced higher mortality risk under extreme cold and heat than those in rural regions. The elderly had the highest RR under both extreme cold and heat. Males experienced greater cold effects than females, whereas the reverse was true with heat effects, particularly among the elderly. Those who were unmarried had higher RR than those married under extreme heat, and the effect remained after controlling for age. The younger population living in the most deprived areas experienced higher cold and heat effects than in less deprived areas. Deaths from respiratory diseases were most sensitive to both cold and heat exposures, although mortality risk for cardiovascular diseases was also heightened, particularly in the elderly. Cold effects were lower in the most recent 15 years, which may be linked to policies and actions in preventing the vulnerable population from cold impacts. No temporal trend was found with the heat effect. CONCLUSIONS: This study assesses mortality risk associated with extreme temperatures in Scotland and identifies those groups who would benefit most from targeted actions to reduce cold- and heat-related mortalities.
The regional climatic comfort index (CCI) deteriorated significantly due to climate change and anthropogenic interference. Knowledge, regarding the long-term temporal dynamics of the CCI in typical regions, should be strengthened. In this study, we analyze the temporal and spatial evolution of CCI from 1969 to 2018 in Guangdong Province, based on a number of meteorological indicators. Additionally, the population exposure to climate unconformity was examined since 1990 with the help of population data. Our study found that: (1) the warming and humidifying of the summer climate served as the main driving force for the continuous deterioration of the CCI, with comfortable days decreased by 1.06 day/10 year and the extremely muggy days increased by 2.83 day/10 year; (2) spatially, the lowest climate comfortability concentrated in southwestern Guangdong with more than 50 uncomfortable days each year, while the climate comfortability in northeastern Guangdong tends to deteriorate with a higher rate, which can reach as high as 6 day/10 year; (3) in summer, the population exposure to uncomfortable climate highly centralized in the Pearl River Delta, Shantou, Jieyang, and the surrounding areas, and both area and population exposure showed increasing trends. Particularly, Shenzhen held the highest growth rate of population exposure with an increased rate of 2.94 million/10 year; (4) although the discomfort distribution and deterioration rate vary across the province, the spatial heterogeneity of comfortability is diminishing in Guangdong Province. This study will provide a scientific reference in areas of regional urban planning, thermal environment improvement, local resident health risk analysis, and key strategy implementation.
The human body can withstand high temperatures to some extent, but exposure to temperatures exceeding human heat tolerance leads to sickness and, at very high temperatures, to death. In this study, using the analyzed data on the maximum temperature at 2 m above the surface in a 73-year period from 1948 to 2020, the seasonal, annual, decadal and centennial frequency of lethal temperatures above 50 degrees C (TU50c) in the Northern Hemisphere (NH) was analyzed. The aim of this research was to extract the frequency and trend in TU50c in the NH. In this study, regression analysis, trend component analysis and wavelet analysis were used. Examination of the frequency of TU50c occurrence in the NH showed that the trend of annual changes in the frequency of TU50c in the NH is upward and significant. Inter-decadal changes indicate that in the fifth decade (1980-1989) and sixth decade (1990-1999), there was an unprecedented increase in the frequency of TU50c. Inter-century changes also show that the incidence of TU50c has increased gradually from the twentieth to the twenty-first century. The highest incidence of twentieth-century TU50c extreme temperatures occurred between 1986 and 1988. Spatially, the region with the highest frequency and strongest TU50c is in Africa, especially Sudan, West Asia (between Iraq, southwestern Iran, Kuwait and Saudi Arabia) and India in the Indian subcontinent. These temperatures are not uncommon in the United States, but TU50c has not been reported in Europe and East Asia. The results of statistical analysis show that the frequency of occurrence of TU50c in the NH is related to the annual frequency of sunspots and also, to a much lesser extent, to the concentration of carbon dioxide.
While previous research on historical changes in heat-related mortality observed decreasing trends over the recent decades, future projections suggest increasing impact of heat on mortality in most regions of the world. This study aimed to analyse temporal changes in temperaturemortality relationships in Prague, Czech Republic in the warm season (May-September), using a daily mortality time series from 1982 to 2019. To investigate possible effect of adaptation to increasing temperature, we divided the study period into four decades (1980s-2010s). We used conditional Poisson regression models to identify decade-specific relative risk of heat-related mortality and to calculate the annual number of heat-attributable deaths and the heatattributable fraction of total warm season deaths. We estimated their trends over the whole study period by a generalized additive model with non-parametric smoothing spline. Our results showed that the unprecedentedly hot 2010s was associated with approximately twice as large relative risk of heat-related mortality than in previous decades. This resulted in the reversal of the trend in heat-attributable mortality in the 1990s and its increase during the last two decades. Our findings highlight the importance of further improvement of adaptation measures such as heatand-health warning systems to protect the heat-susceptible population.
Polycyclic aromatic hydrocarbons (PAHs), as a critical toxic component of PM2.5, have been proven to be carcinogenic to humans. Previous studies have explored the characteristics and health risk of PAHs, but long-term monitoring of ambient PAHs remains limited. In this study, ambient PM2.5 was sampled each month from the 10th to 16th of January 2014 to December 2017 in an industrial area in Jinan, a heavily air-polluted city in China. We described the season and year temporal characteristics of 16 priority-control PAHs outlined by the US EPA after substantial air pollution control measures implementation. The carcinogenic risk caused by 7 PM2.5-related PAH inhaled exposure was assessed. The diagnostic ratio method was used for the source resolution of PAHs. Pair-wise Spearman’s analysis was used to calculate the correlation coefficient between 16 PAHs and meteorological variables. Results showed that 16 PM2.5-related PAHs presented clearly seasonal differences with peak concentrations in the cold season. BaP accounted for the largest proportion of the total excess carcinogenic risks. 5-ring PAHs occupied the highest proportion of the 16 PAHs. Coal, wood, grass combustion and liquid fossil fuel burning all contributed to pyrogenic sources, and vehicular combustion accounted for a larger proportion of pyrogenic sources. Notably, the correlation between 16 PAHs and meteorological variables was not identical in different seasons. We concluded that air quality has been improved to some extent in Jinan, but air pollution control policies should further focus on reducing combustion product emissions, especially coal combustion. [GRAPHICS] .
Dust storms and particulate matters had been increased due to climate change in the Middle East. On the other hand, urbanization and industrialization raised levels of gaseous air pollutants in all big cities. In the current study, air pollution information collected from Environmental Protection Agency of Khuzestan and Tehran containing hourly O(3), NO(2), CO, SO(2), PM(10) and PM(2.5) concentrations between 2014 and 2015. This study evaluated the air quality of these two cities by Air Quality Index (AQI). As a result, mean concentrations of O(3), NO(2), PM(10) and PM(2.5) were higher in Ahvaz than Tehran while Tehran was more pollutant in terms of CO and SO(2). Diurnal variations of O(3) in weekend were the only trend located above weekday variations along the daytimes. Hourly variations of all pollutants changed with a wider range of concentrations in Ahvaz. Diurnal peaks of all pollutants showed their highest level on Monday as the busiest day in mega city, Tehran with the exception of SO(2). PM(2.5) was the worst and limiting pollutant for both cities. Accordingly, winter was the most polluted season by 77 and 33 μg m(-3) in Ahvaz and Tehran, respectively. Number of clean days was significantly lower in Ahvaz (no-day) than mega city, Tehran (<17 days). The number of unhealthy days was also presented significantly higher in Ahvaz (>186 days). Although, annual PM(2.5) concentrations were more in Ahvaz, the higher at-risk population in Tehran caused more health endpoints in the capital of Iran. Consequently, both cities should have their own especial pattern to control air pollution and attributed health damages.
To examine the temporal trends of the association between heat exposure and hospitalizations for renal disease in Queensland, Australia, between the summer season of 1 December 1995 and 31 December 2016. A total of 238 427 de-identified hospitalization records for renal disease were collected from Queensland Health. Meteorological data was obtained from the Scientific Information for Land Owners. Summer season means four consecutive months with higher daily mean temperatures. We conducted a time-stratified case-crossover study using conditional quasi-Poisson regression model and applied a time-varying distributed lag non-linear model were used to evaluate the temporal trends of the associations between 1 degrees C increase in daily mean temperatures (over 0-10 lags) and hospitalizations for renal diseases. We also conducted stratified analyses by sex, age, climate zone, socioeconomic status, and cause-specific renal diseases. Overall, the associations between high temperature and hospitalizations for renal diseases showed a decreasing trend during the summer seasons from 1995 to 2016. However, the heat-related effects in males increased from 3.0% (95% CI: 2.2%, 3.9%) in 1995 to 4.8% (95% CI: 3.9%, 5.6%) in 2016. In the elderly cohort (both sexes), there was a similar increase over time 2.0% (95% CI: 1.0%, 3.0%) in 1995 to 6.3% (95% CI: 5.4%, 7.3%) in 2016. People living in hotter climate zones and those living in relatively socioeconomically disadvantaged areas also showed an increasing trend. In the cause-specific disease analysis, the increasing trend was found in renal failure, with heat-related effects increased from 3.45% (95% CI: 2.31%, 4.60%) in 1995 to 8.19% (95% CI: 7.03%, 9.36%) in 2016. Although the association between temperature and hospitalizations for renal diseases showed a decreasing trend in Queensland’s hot season between 1995 and 2016, the susceptibility to high temperatures is increasing in males, the elderly of both sexes, those living in hotter climate areas, and socioeconomically disadvantaged areas. This increasing trend of susceptibility is a great concern and indicates a strong need for targeted public health promotion campaigns.
The way we produce food is at the heart of some of the current main global challenges. We are witnessing increasing social inequalities and the accentuation of hunger around the world, especially in Africa, Asia, Latin America, and the Caribbean. At the same time, malnutrition and effects of climate change are endangering both the health of people and nature, putting life and the planet itself at risk. In general, specialists agree that the solutions to the current crisis involve the transformation of hegemonic food production chains (globalized and industrialized) and the strengthening of more territorialized food systems. The present paper reflects on how the territorial approach (extensively promoted by the State in Latin America countries in the 21st century) can be collaboratively used to create territorial food markets that are more autonomous, sustainable, and connected with nature and territorial resources. Our hypothesis is that territorial development reinforces more sustainable food systems that increase the resilience of territories facing the current challenges of rural development. The methodology involves a thematic and selective literature review, the analysis of secondary indicators, and conducting online interviews. Our analysis focused on Latin America, one of the most advanced areas in territorial development policies. We situated our research in the Borborema Territory (Paraiba, Brazil), which is a significant case study for understanding the dynamics of territorialization (and deterritorialization) of agroecological production systems that are geared towards family farming. It is also, in our opinion, a concrete case that suggests how territorialized and more localized food systems show greater resilience in the face of adversity, which can be observed in the territorial actors’ ability to react to deterritorialization drivers that are emphasised in periods of crisis. Our main findings suggest that territorial development, by placing territory, resources, and territorial actors and institutions at the core of rural development strategies, reinforces territorialized food systems centred in small circuits of production-consumption. These alternative food systems not only contribute to social and environmental sustainability but enhance territorial development by expanding opportunities for territorial actors by diversifying the territorial economy and creating more crisis-resilient territories.
The world faced stark challenges during the global pandemic caused by COVID-19. Large forces such as climate change, cultural ethnocentrism and racism, and increasing wealth inequality continue to ripple through communities harming community well-being. While the global pandemic caused by COVID-19 exacerbated these forces, lessons across the globe have been captured that inform the field of community well-being long-after the end of the pandemic. While many scholars have looked to political capital, financial capital, and social capital to tackle these challenges, natural capital and cultural capital have extreme relevance. However, scholarship tends to overlook the inextricable and important links between natural capital and cultural capital in community development and well-being work. These capital forms also inform contemporary understandings of sustainability and environmental justice, especially in the fields of community development and well-being. This perspective article showcases the deep connections between natural capital and social capital through literature review and community cases across the globe. Questions are posed for future research and practice tethering together cultural capital and natural capital when looking to bolster community well-being.
Background. Global climate change poses a major threat to human health and in the future could offset the health gains achieved over the last 100 years. There is strong evidence that human-caused greenhouse gas emissions are contributing to the global climate change. At the same time physical inactivity is a serious and unresolved public health concern. Active transportation defined as a Self-propelled and human-powered mean of transport can address both public health challenges simultaneously. Aim of the study is to realize and evaluate the effectiveness of a “Urban walking metro”, an innovative tool to face inactivity and facilitate urban mobility which consists of circular routes structured within the urban fabric of the city on safe streets. Methods. Access to the study will be facilitated by general practitioners who will urge the patients to an exercise testing session in which will be assessed: (a) CRF through a 1-km moderate intensity treadmill test (b) Anxiety, depression and quality of life trough validated questionnaire (c) CO2 emissions saved using walking as a means of transport. After each exercise testing session, participants will be encouraged to walk on the Urban Walking Metro for at least 150 minutes per week maintaining the speed experienced during the walking test. Following evaluations will be carried out before the start of the walking program and subsequently at 3,6,9 and 12 months. Expected results It is likely to believe that participation in walking activities, preferably carried out in groups, induces individuals to maintain an active lifestyle with potential benefit both for physical and mental health and therefore to a lower use of motorized means of transport that will result in a reduction in CO2 emissions and greenhouse gases responsible for air pollution and global warming.
According to the United Nations Office for Disaster Risk Reduction (UNDRR), a heat-health action plan should address various impacts of hazards at different levels, including an early warning system to monitor risks and behaviour enhancement to increase disaster preparedness. It is necessary to comply with guidelines regarding heat duration/intensity. In this study, we developed a data-driven approach to rapidly and systematically estimate the impacts of various heat events on emergency admissions among the adult population (n = 7,086,966) in Hong Kong in order to enhance the heat-health action plan. Immediate, short-term, and long-term impacts determined by 1-day, 4-day, and 8-day windows were estimated to identify specific heat events suitable for early warnings. In addition, underestimated risk, determined by a continuous increase in heat risk after days without significant emergency admissions, was estimated to evaluate potential maladaptive behaviours among a specific subpopulation. Based on age- and gender-specific analyses, 1D, 1D1N, and 2D2N were observed to have a stronger immediate impact on emergency admissions. 1D1N and 2D2N also showed notable short-term and long-term impacts. Based on heat vulnerability factors (age and gender), 2D2N was a higher-priority extreme heat event for early warning measures than 1D1N. Furthermore, men aged 19 to 64 had the highest underestimated risk. Specifically, they had IRR values of 1.113 [1.087, 1.140], 1.061 [1.035, 1.087], and 1.069 [1.043, 1.095] during lag days 3-5 of 3D2N, respectively, possibly due to a lack of adaptive behaviour. By adopting our approach, the duration of heat events with significant health impacts can be identified in order to further enhance relevant heat stress information. This framework can be applied to other cities with a similar background for rapid assessment.
Climate change is a major risk factor for overall health, including reproductive health, and well-being. Increasing temperatures, due mostly to increased greenhouse gases trapping excess heat in the atmosphere, result in erratic weather patterns, wildfires, displacement of large communities, and stagnant water resulting in vector-borne diseases that, together, have set the stage for new and devastating health threats across the globe. These conditions disproportionately affect disadvantaged and vulnerable populations, including women, pregnant persons, young children, the elderly, and the disabled. This review reports on the evidence for the adverse impacts of air pollution, wildfires, heat stress, floods, toxic chemicals, and vector-borne diseases on male and female fertility, the developing fetus, and obstetric outcomes. Reproductive health care providers are uniquely positioned and have an unprecedented opportunity to educate patients and policy makers about mitigating the impact of climate change to assure reproductive health in this and future generations.
OBJECTIVE: Physical and natural environments might strongly influence mental health and well-being. Many studies have examined this relationship in urban environments, with fewer focused on rural settings. The aim of this systematic review was to synthesise quantitative evidence for the relationship between environmental factors (drought, climate and extreme weather events, land use/environmental degradation, green space/vegetation, engagement in natural resource management activities) and mental health or well-being in rural areas. DESIGN: Following a systematic search of three databases (PsycINFO, MEDLINE and Web of Science), 4368 articles were identified, of which 28 met eligibility criteria for inclusion in the review. RESULTS: Poorer mental health and well-being was typically found to have an association with extreme climate or weather events and environmental degradation. The observed relationships were largely assessed at area-wide or community levels. CONCLUSIONS: Studies examining the relationship between the environmental condition of land and mental health at an individual level, particularly within farms, are lacking. Addressing this gap in research requires interdisciplinary expertise and diverse methodology. Few studies examined the effects of natural resource management practices/principles or biodiversity on mental health. While there is evidence that extreme climate or weather events have a negative impact on mental health in rural areas, there remain considerable gaps in our knowledge of how rural environments influence mental health and well-being.
OBJECTIVES: Heatwaves have been linked to increased levels of health service demand in Australia. This systematic literature review aimed to explore health service demand during Australian heatwaves for hospital admissions, emergency department presentations, ambulance call-outs, and risk of mortality. STUDY DESIGN: A systematic review to explore peer-reviewed heatwave literature published from 2000 to 2020. DATA SOURCES: Articles were reviewed from six databases (MEDLINE, Scopus, Web of Science, PsychINFO, ProQuest, Science Direct). Search terms included: heatwave, extreme heat, ambulance, emergency department, and hospital. Studies were included if they explored heat for a period of two or more consecutive days. Studies were excluded if they did not define a threshold for extreme heat or if they explored data only from workers compensation claims and major events. DATA SYNTHESIS: This review was prospectively registered with PROSPERO (# CRD42021227395 ). Forty-five papers were included in the final review following full-text screening. Following a quality assessment using the GRADE approach, data were extracted to a spreadsheet and compared. Significant increases in mortality, as well as hospital, emergency, and ambulance demand, were found across Australia during heatwave periods. Admissions for cardiovascular, renal, respiratory, mental and behavioural conditions exhibited increases during heatwaves. The most vulnerable groups during heatwaves were children (< 18 years) and the elderly (60+). CONCLUSIONS: Heatwaves in Australia will continue to increase in duration and frequency due to the effects of climate change. Health planning is essential at the community, state, and federal levels to mitigate the impacts of heatwaves on health and health service delivery especially for vulnerable populations. However, understanding the true impact of heatwaves on health service demand is complicated by differing definitions and methodology in the literature. The Excess Heat Factor (EHF) is the preferred approach to defining heatwaves given its consideration of local climate variability and acclimatisation. Future research should explore evidence-based and spatially relevant heatwave prevention programs. An enhanced understanding of heatwave health impacts including service demand will inform the development of such programs which are necessary to promote population and health system resilience.
Today’s increasingly unequal and resource intensive development model degrades and surpasses Earth’s finite capacity to sustain human well-being. Society must restore this capacity and adapt to it without surrendering hard won development gains while also honoring the rightful aspirations of poorer nations and people to enjoy better living standards, according to the UNEP report “Making Peace with Nature”. This article presents findings from the report and reflections on how to take advantage of the 50 years of experience gained since the Stockholm Conference on the Human Environment. The interconnected environmental emergencies of climate change, loss of biodiversity and pollution need to be addressed together. International scientific assessments are providing the knowledge base for informed evidence-based decision-making, but none of the internationally agreed environmentally targets for climate and biodiversity have been met and the situation is becoming more dire with each passing year. Unless these issues are addressed in the next 5-10 years none of the 2030 sustainable development goals will be achieved. Human knowledge, ingenuity, technology and cooperation need to be mobilized in such an effort. The 2030 Agenda for Sustainable Development with its 17 Sustainable Development Goals provides a blueprint for the transformation. The international environmental governance structure needs to facilitate a system-wide cross-sectoral transformation of humankind’s relationship with nature. Transformed economic, financial and productive systems can lead and power the shift to sustainability. Major shifts in investment and regulation are key to just and informed transformations that overcome inertia and opposition from vested interests. Government actions at all levels are needed together with strengthened actions by all actors in society and the next decade is critical.
Citizens’ worries about climate change are often realistic and legitimate. Simultaneously, these worries can also become a source of distress so severe as to impair everyday functioning and prompt someone to seek psychotherapy. These emergent phenomena are often referred to as “climate anxiety” or “climate depression” by the popular culture and by patients themselves. Psychotherapists around the world report seeing more and more patients who report that they are experiencing distress due to climate change. This article documents a study that involved engaging 10 Swedish adults who sought help for climate change-related emotional distress in in-depth conversations about their psychotherapeutic experience. This was followed by analyzing accounts of psychotherapeutic processes to understand patients’ experiences and outcomes. Interviews were examined with interpretative phenomenological analysis (IPA). Therapists’ knowledge about climate change and competence in coping with it, validation of climate change-related emotions, and learning to manage these emotions were salient aspects of psychotherapy from the patients’ perspective. Connecting psychotherapy to personal values and action orientation, resulting in an enhanced sense of meaning and sense of community, was also considered important. In conclusion, based on participants’ experience, we offer practical guidance for practitioners. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
PURPOSE: General practitioners (GPs) could play a role in mitigating climate change by raising awareness of its impact on human health and implementing changes to improve population health and decreasing environmental footprints. The aim of this study was to assess GPs’ knowledge and perspectives about the health impacts of climate change. METHOD: A questionnaire was sent to 1972 GPs in the French-speaking part of Switzerland. Knowledge of the impact of environmental degradations and climate change on health and willingness to address climate change with patients, to be exemplary and to act as role models were surveyed as well as demographic characteristics of GPs. RESULTS: Respondents (N = 497) expressed a high level of self-reported knowledge regarding climate change, although it was lower for more specific topics, such as planetary health or health-environment co-benefits. Participants mostly agreed that it is necessary to adapt clinical practice to the health impacts of climate change and that they have a role in providing information on climate change and its links to human health. CONCLUSION: Most of the GPs were concerned about environmental and climate degradation. However, this study revealed a gap between the willingness of GPs to integrate the impact of climate change on health into their clinical activities and their lack of overall knowledge and scientific evidence on effective interventions. A promising way forward may be to develop co-benefit interventions adapted to the clinical setting on diet, active mobility and connecting with nature.
Zika virus is a mosquito-borne flavivirus known to cause severe birth defects and neuroimmunological disorders. We have previously demonstrated that mosquito transmission of Zika virus decreases with temperature. While transmission was optimized at 29°C, it was limited at cool temperatures (<22°C) due to poor virus establishment in the mosquitoes. Temperature is one of the strongest drivers of vector-borne disease transmission due to its profound effect on ectothermic mosquito vectors, viruses, and their interaction. Although there is substantial evidence of temperature effects on arbovirus replication and dissemination inside mosquitoes, little is known about whether temperature affects virus replication directly or indirectly through mosquito physiology. In order to determine the mechanisms behind temperature-induced changes in Zika virus transmission potential, we investigated different steps of the virus replication cycle in mosquito cells (C6/36) at optimal (28°C) and cool (20°C) temperatures. We found that the cool temperature did not alter Zika virus entry or translation, but it affected genome replication and reduced the amount of double-stranded RNA replication intermediates. If replication complexes were first formed at 28°C and the cells were subsequently shifted to 20°C, the late steps in the virus replication cycle were efficiently completed. These data suggest that cool temperature decreases the efficiency of Zika virus genome replication in mosquito cells. This phenotype was observed in the Asian lineage of Zika virus, while the African lineage Zika virus was less restricted at 20°C. IMPORTANCE With half of the human population at risk, arboviral diseases represent a substantial global health burden. Zika virus, previously known to cause sporadic infections in humans, emerged in the Americas in 2015 and quickly spread worldwide. There was an urgent need to better understand the disease pathogenesis and develop therapeutics and vaccines, as well as to understand, predict, and control virus transmission. In order to efficiently predict the seasonality and geography for Zika virus transmission, we need a deeper understanding of the host-pathogen interactions and how they can be altered by environmental factors such as temperature. Identifying the step in the virus replication cycle that is inhibited under cool conditions can have implications in modeling the temperature suitability for arbovirus transmission as global environmental patterns change. Understanding the link between pathogen replication and environmental conditions can potentially be exploited to develop new vector control strategies in the future.
We assess the effects of temperature on the risk of diarrhoea, one of the leading causes of mortality and morbidity among children under 5. Our analysis focuses on Sub-Saharan Africa, the continent where tem-peratures have been rising at twice the global rate and diarrhoea prevalence rates are highest. Drawing on child-level survey data and exploiting quasi-random variation in temperature realisations around the date of interview, we show that temperature strongly influences diarrhoea incidence as well as preva-lence of wasting (low weight-for-height ratios). Using binned regressions, we document that the effects are particularly strong in the temperature range 30-37.5 degrees C. We further find that access to improved san-itation and drinking water facilities mitigates these temperature-induces risks. This implies that building up such capacities is a particularly pressing issue in regions that will experience strong increases in tem-peratures and lack adequate access to sanitation and safe water. We use our estimates together with cli-mate projections to identify these areas.(c) 2022 The Author(s). Published by Elsevier Ltd.
We aimed to investigate a hypothesised association between daily mean temperature and the risk of surgery for acute type A aortic dissection (ATAAD). For the period of 1 January 2005 until 31 December 2019, we collected daily data on mean temperatures and date of 2995 operations for ATAAD at 10 Nordic cities included in the Nordic Consortium for Acute Type A Aortic Dissection (NORCAAD) collaboration. Using a two-stage time-series approach, we investigated the association between hot and cold temperatures relative to the optimal temperature and the rate of ATAAD repair in the selected cities. The relative risks (RRs) of cold temperatures (≤-5°C) and hot temperatures (≥21°C) compared to optimal temperature were 1.47 (95% CI: 0.72-2.99) and 1.43 (95% CI: 0.67-3.08), respectively. In line with previous studies, we observed increased risk at cold and hot temperatures. However, the observed associations were not statistically significant, thus only providing weak evidence of an association.
Research suggests that adolescents in humanitarian settings are particularly vulnerable to mental health challenges, but there is less attention to how mental health and psychosocial support (MHPSS) in these settings considers climate-related factors. This article aims to bridge this gap by reviewing studies on the impact of MHPSS interventions in humanitarian settings for adolescents in low- and middle-income countries. Our findings indicate there is a lack of attention to climate change; none of the 25 studies identified mentioned climate change or considered it in the intervention design. Given the urgency of the climate crisis, it is vital that MHPSS interventions for adolescents in humanitarian settings are adapted to respond to climate change-related factors. We also found that the data from such studies are rarely disaggregated by sex or disability. This is vital in order to deepen our understanding of the intersectional impacts of MHPSS on adolescents.
Chronic exposure to groundwater contaminated with geogenic arsenic (As) poses a significant threat to human health worldwide, especially for those living on floodplains in South and Southeast (S-SE) Asia. In the alluvial and deltaic aquifers of S-SE Asia, aqueous As concentrations vary sharply over small spatial scales (10-100 m), making it challenging to identify where As contamination is present and mitigate exposure. Improved mechanistic understanding of the factors that control groundwater As levels is essential to develop models that accurately predict spatially variable groundwater As concentrations. Here we demonstrate that surface flooding duration and interannual frequency are master variables that integrate key hydrologic and biogeochemical processes that affect groundwater As levels in S-SE Asia. A machine-learning model based on high-resolution, satellite-derived, long-term measures of surface flooding duration and frequency effectively predicts heterogeneous groundwater As concentrations at fine spatial scales in Cambodia, Vietnam, and Bangladesh. Our approach can be reliably applied to identify locations of safe and unsafe groundwater sources with sufficient accuracy for making management decisions by solely using remotely sensed information. This work is important to evaluate levels of As exposure, impacts to public health, and to shed light on the underlying hydrogeochemical processes that drive As mobilization into groundwater.
In many suburban municipalities of developing countries, the household drinking water comes mainly from groundwater including, wells, streams and springs. These sources are vulnerable because poor hygienic conditions and sanitation prevail causing persistence and recurrent waterborne diseases. In this research, a survey study on water resource use and an epidemiological survey of waterborne diseases were conducted among users of water points and medical institutions in suburban communes of Selembao and Kimbanseke (Kinshasa, the Democratic Republic of the Congo). In addition, physicochemical (temperature, pH, O-2, electrical conductivity, and soluble ions: Na+, K+, PO43-, SO42-, NO3-, NO2-) and bacteriological (FIB: faecal indicator bacteria) analyses of water from 21 wells and springs were performed according to the seasonal variations. FIB included Escherichia coli (E. coli), Enterococcus and Total Coliforms. The survey results indicate that more than 75% of the patients admitted to local medical institutions between 2016 and 2019 are affected by waterborne diseases, including typhoid fever, amoebic dysentery, diarrhoea, gastroenteritis disorders and cholera. Except for NO3- in some sites, the water physicochemical parameter values are within WHO permissible limits for drinking/domestic water quality. On the contrary, the results revealed high FIB levels in water from unmanaged wells and springs during rainy and dry seasons. The microbiological pollution was significantly higher in the rainy season compared to the dry season. Interestingly, no FIB contamination was observed in water samples from managed/developed wells. The results from this study will guide local government decisions on improving water quality to prevent recurrent waterborne diseases.
INTRODUCTION: Low retention is a significant contributor to medical workforce shortages in rural and remote regions of Australia, including in the Northern Territory (NT). Many of these areas are susceptible to climate change, which could exacerbate workforce retention problems. OBJECTIVE: To examine factors influencing medical workforce retention in the NT, including the potential impact of climate change. DESIGN: Cross sectional online survey of NT medical professionals, distributed via email through professional networks. Predominantly quantitative mixed methods (descriptive statistics, multivariate logistic regression, thematic analysis). Main 2 outcome measures reported were proportion of respondents intending to leave the NT, timeframe of intention to leave and motivating factors. FINDINGS: Of 1407 registered practising medical professionals in the NT, 362 responded who met inclusion criteria (26% estimated response rate) and 351 completed all questions. Of the latter, 143 (41%) intended to leave the NT, 102 (29%) were unsure, and 106 (30%) did not intend to leave. Among doctors in training (DITs) 67 (55%) intended to leave and 29 (24%) were unsure. The best multivariable predictive model included only practice type (with general practitioners/rural generalists and non-GP specialists significantly less likely to intend to leave compared to DITs), and location of primary medical degree (with non-NT training non-significantly associated with greater intention to leave). Of those intending to leave 94 (66%) reported planning to do so within two years. Training and career development opportunities, job dissatisfaction, moving to a preferred location and family-related factors were all important motivators. Of those considering leaving, 58 (24%) identified climate change as a motivating factor. CONCLUSION: Retention remains a key challenge in addressing rural workforce shortages. In addition to established factors, climate change is an important driver that has the potential to worsen workforce shortages in susceptible regions.
Despite world food production keeping pace with population growth because of the Green Revolution, the United Nations (UN) State of Food Security and Nutrition in the World 2022 Report indicates that the number of people affected by hunger has increased to 828 million with 29.3% of the global population food insecure, and 22% of children under five years of age stunted. Many more have low-quality, unhealthy diets and micronutrient deficiencies leading to obesity, diabetes, and other diet-related non-communicable diseases. Additionally, current agro-food systems significantly impact the environment and the climate, including soil and water resources. Frequent natural disasters resulting from climate change, pandemics, and conflicts weaken food systems and exacerbate food insecurity worldwide. In this review, we outline the current knowledge in alternative agricultural practices for achieving sustainability as well as policies and practices that need to be implemented for an equitable distribution of resources and food for achieving several goals in the UN 2030 Agenda for Sustainable Development. According to the UN Intergovernmental Panel on Climate Change, animal husbandry, particularly ruminant meat and dairy, accounts for a significant proportion of agricultural greenhouse gas (GHG) emissions and land use but contributes only 18% of food energy. In contrast, plant-based foods, particularly perennial crops, have the lowest environmental impacts. Therefore, expanding the cultivation of perennials, particularly herbaceous perennials, to replace annual crops, fostering climate-smart food choices, implementing policies and subsidies favoring efficient production systems with low environmental impact, empowering women, and adopting modern biotechnological and digital solutions can help to transform global agro-food systems toward sustainability. There is growing evidence that food security and adequate nutrition for the global population can be achieved using climate-smart, sustainable agricultural practices, while reducing negative environmental impacts of agriculture, including GHG emissions.
BACKGROUND: Climate change and global health are inextricably linked. Thus, health systems and their professionals must adapt and evolve without losing quality of care. AIM(S): To identify health and environmental co-benefits derived from a sustainable diet and promotion strategies that favor its implementation. METHODS: A systematic search for articles published on sustainable diets and human/planetary health published between 2013 and 2020 was conducted on the databases PubMed, Cinahl, Scopus and Trip from 4 to 7 May 2020 in accordance with the PRISMA guideline. RESULTS: A total of 201 articles was retrieved, but only 21 were included. A calorie-balanced diet mainly based on food of plant origin that would allow the attainment of 60% of daily caloric requirements and a low protein intake from animal foods (focusing in fish and poultry) could significantly reduce global morbi-mortality and the dietary environmental impact maintaining a framework of sustainability conditioned by the consumption of fresh, seasonal, locally produced and minimally packaged products. DISCUSSION: The implementation of sustainable diets requires working on the triangulation of concepts of food-health-environment from schools and that is permanently reinforced during all stages of the life by healthcare workers, who should establish the appropriate modifications according to the age, gender and health situation.
Sustainability as a concept is found across a multitude of sectors in today’s society. This ‘sustainability turn’ as we might call it, has made its entry into educational paradigms such as ‘education for sustainable development’. The healthcare sector has embraced the notion of sustainability primarily by emphasizing how climate change impacts human health. Epitomized in the new paradigm of sustainable healthcare education (SHE), or education for sustainable healthcare (ESH), the sustainability turn has arrived with full force within medical education. This article will argue that sustainable healthcare education may be analyzed as a governmental practice. We ask: by what governmental techniques does one seek to create sustainable health subjects, i.e., self-leading future doctors? On the one hand, sustainability is a call for global engagement that goes beyond the health of the singular patients within the paradigm of SHE. On the other hand, it can risk producing individual doctors and students that are responsibilized in the name of sustainability to take on ever-increasing tasks to foster human and planetary health. In this way, we argue that the SHE paradigm might risk transferring responsibility from the state to the individual to achieve ‘sustainable health’.
Obesity and global warming are two major challenges that affect communities’ health and quality of life. Providing good walking environments, with appropriate pedestrian infrastructure, green areas and access to commercial retail and transport hubs favour liveable, healthy, and sustainable cities. The Lisbon City Hall has implemented an intervention program in the public space as a strategy to improve environmental quality and mitigate the effects of climate change. The program “A square in each neighbourhood ” intends not only to reinforce the economic base of Lisbon, namely tourism, restaurants, commerce, and creative activities but also to promote physical activity and improve the quality of living of all citizens. For studying the impact of the public space quality on the walking environment, Campolide, a typical Lisbon neighbourhood, Portugal, which includes one of the requalified squares, was selected. A two-step methodology based on spatial modelling is proposed. In the first step, the public space quality was evaluated based on a set of 13 urban quality attributes. Attributes, intended for the street level, were collected from open data platforms and complemented with a field survey. Then, through spatial analysis, these attributes were used to build the Pedestrian Environment Quality Indicator and the Priority Intervention Indicator. Using these indicators, walking-friendly streets were mapped and the most critical sites that require priority intervention were identified to prepare for the requalification planning process. The street with the highest quality in the study area according to the dimensions evaluated -connectivity, convenience, comfort, cleanliness, and conviviality -has a great offer of trees, bus stops, commercial establishments, commercial diversity, crossings, paper bins/eco points and esplanades. On the opposite side of the rank, the street with the lowest quality has no trees or green areas, transport stops, benches and tables, or commercial activity. The urban quality indicators constitute a helpful tool for city planners and policymakers when planning sustainable living neighbourhoods.
Climate change continues to pose a dangerous threat to human health. However, not only is health impacted by this crisis, healthcare itself adds to the problem, through significant contributions to greenhouse gas emissions. In the UK, the National Health Service (NHS) is responsible for an estimated 4% of the overall national carbon footprint. Medicines account for a quarter of this and whilst they are vital for health now, through sustainable use they can also positively influence the environmental health of the future. In this review, we explore how clinical pharmacologists and other health care professionals can practice sustainable medicines use or eco-pharmaco-stewardship. We will discuss current and near future environmental practices within the NHS, which we suspect will resonate with other health systems. We will suggest approaches for championing eco-pharmaco-stewardship in drug manufacturing, clinical practice and patient use, to achieve a more a sustainable healthcare system.
Throughout history, technology has provided many and significant improvements to the way we live, but the current pace of development now often exceeds the ability for the full potential of any technological innovation to be explored and implemented before further innovations are introduced. This pace of change results both in missed opportunities for a technology in its ability to contribute to effective solutions in addressing issues such as reducing adverse environmental impact or improving the health of society. In considering the nature of technological innovation and development, the associated engineering design processes can themselves be characterized as being associated with a highly complex, iterative problem-solving exercises, involving the integration and synthesis of a wide range of technologies. This in turn requires the design team to manage trade-offs across a range of primary constraints, as for instance embodied energy in manufacturing, energy consumption in use, capital costs and operating and resource recovery costs. Further investigation into the complexity of societal issues and means for achieving a more effective and fuller utilization of both existing resources and technologies is necessary to place sustainability as a priority of the decision making process. To support discussion and provide context, three case studies are presented. The first case study examines a strategic framework adopting metrics aligned with environmental issues used as proxies for evaluating wellbeing and common good. The second case study examines the specific contribution of eHealth to wellbeing and the balance of technological, societal and political issues in determining outcomes. The third case study considers how technology might be embedded as part of the process of obtaining meta-data from within a small rural community to demonstrate the impact of mitigation strategies associated with the reduction of its carbon footprint, and hence on climate change. In doing so, the paper seeks to bring together issues surrounding environmental problems in relation to a technology driven engineering design process while positioning them in the context of social benefits arising from sustainable decision making.
Due to climate change, urban populations will be affected by worsening heat stress. The use of blue-green infrastructure can be an effective countermeasure for urban planners. In this study, the ENVI-met modelling system is used to investigate the impacts of different heat adaptation strategies, such as additional urban trees, irrigation policies, and the use of high reflective surface materials. However, under certain local conditions, these measures can have conflicting effects, e.g., trees can provide shadow but also reduce the cooling ventilation. To address such conflicts, we developed an online tool visualising urban climate simulation data and applying a new decomposition algorithm that translates the biophysical processes (i.e., radiation, ventilation, evapotranspiration, and heat storage) into surface temperature changes during heat wave events. This approach allows us to (1) identify factors responsible for heat, (2) comparatively evaluate heat mitigation of different land development scenarios, and (3) find trade-offs for conflicting adaptation measures. This online tool can support the decision-making of local stakeholders.
Purpose of Review Sporotrichosis is a disease caused by fungi belonging to the genus of Sporothrix. Infection with this fungus in humans causes symptoms that range from cutaneous to systemic. Moreover, immunocompromised patients are more susceptible to the severity of the infection. The fungus can be found in various organic materials such as plants and soil. Until the end of the 1990s, sporotrichosis was considered an occupational and work-related disease, and high-risk individuals were those who had permanent contact with these materials. However, what is the role of animals in the transmission of the fungus to humans? What role is the environment playing in this transmission process? This literature review aims to compile knowledge to answer these questions. Recent Findings Epidemiological studies have shown an increase in the cases of infection in domestic animals with the fungus, which have transmitted the infection to humans. This is to be expected due to changes in human behavior towards animals, which now have a very close relationship. Additionally, soil and water contamination with the fungus has increased, perhaps due to changes in land use, increased humidity, and temperature associated with climate change. Summary The endemic regions of this fungus are characterized by warm or tropical climates, which favor disease transmission through direct or indirect contact with animals or contaminated soil. The climate change that our planet is currently experiencing has had an impact on various regions of the world where infected cases of Sporothrix spp. in humans have increased. Due to this, it is relevant to promote research associated with the prevalence of sporotrichosis in humans and animals, as well as soil contamination monitoring in order to prevent infection.
Extreme weather alerting systems are one of the central tools utilised in adapting to changing weather patterns resulting from climate change. This paper evaluates the effectiveness of the current alerting systems for hot and cold weather used in England to notify the health and social care sector of upcoming extreme weather events. We consider the views of stakeholders on the current system and explore their perspectives on the proposal to move towards an impact-based system. The paper concludes that while the current system is an effective tool, stakeholders feel they need to draw on additional material to assist with the development of an appropriate response. We also highlight that many stakeholders are concerned about the potential for creating alert fatigue due to a lack of clarity of the geographical area impact of some of the alerts. Consequently, there was a high level of support from stakeholders for the move towards an impact-focused system.
Technology is being developed to handle vast amounts of complex data from diverse sources. The terms “Big Data” and “Decision Support Systems” (DSS) refer to computerised multidimensional data management systems that support stakeholders in making use of modern data-driven approaches to identify and solve problems and to enable enhanced decision making. Big Data has become ubiquitous in food safety. Information in the food supply chain is scattered and involves heterogenicity in format, scale, geographical origin. Also, interactions among environmental factors, food contamination, and foodborne diseases are complex, dynamic, and challenging to predict. Therefore, this state-of-the-art review article focuses on the underlying architecture of Big Data and web-based technologies for food safety, focusing on climate change influences. Challenges in adopting Big Data in food safety are presented, and future research directions regarding technologies/methods in the food supply chain are summarised and analysed. The analysis and discussion provided aim to assist agri-food researchers and stakeholders in taking initiatives and gathering insights on the application of Big Data and web-based DSS for food safety, which would alleviate challenges and facilitate the implementation of Big Data in food safety risk assessment while considering the possible implications of climate change.
Wildfires and hazard reduction burns produce smoke that contains pollutants including particulate matter. Particulate matter less than 2.5 mu m in diameter (PM2.5) is harmful to human health, potentially causing cardiovascular and respiratory issues that can lead to premature deaths. PM2.5 levels depend on environmental conditions, fire behaviour and smoke dispersal patterns. Fire management agencies need to understand and predict PM2.5 levels associated with a particular fire so that pollution warnings can be sent to communities and/or hazard reduction burns can be timed to avoid the worst conditions for PM2.5 pollution. We modelled PM2.5, measured at air quality stations in New South Wales (Australia) from similar to 1400 d when individual fires were burning near air quality stations, as a function of fire and weather variables. Using Visible Infrared Imaging Radiometer Suite (VIIRS) satellite hotspots, we identified days when one fire was burning within 150 km of at least 1 of 48 air quality stations. We extracted ERAS grid-ded weather data and daily active fire area estimates from the hotspots for our modelling. We created random forest models for afternoon, night and morning PM2.5 levels to understand drivers of and predict PM2.5. Fire area and boundary layer height were important predictors across the models, with temperature, wind speed and relative humidity also being important. There was a strong increase in PM2.5 with decreasing distance, with a sharp increase when the fire was within 20 km. The models improve our understanding of the drivers of PM2.5 from individual fires and demonstrate a promising approach to PM2.5 model development. However, although the models predicted well overall, there were several large under-predictions of PM2.5 that mean further model development would be required for the models to be deployed operationally.
Exposure to airborne particulate matter (PM) can be considered as an important risk factor for human health. Some cytokines have been recognized as the biomarkers of exposure to air pollution. Experimental studies indicate that PM exposure could be associated with inflammation. Thus, the purpose of this study was to evaluate whether the exposure to air PM is associated with biomarkers of inflammation. The specific aim of this study was to determine the correlation between airborne PM levels and IL-6 and TNF-alpha as airway inflammation biomarkers among two groups of late adolescents in northwest of Iran. This study included 46 subjects, comprising 23 asthmatic subjects and 23 non-asthmatic persons. Environmental PM (PM10, PM2.5 and PM1) levels were measured in dust storm and non-dust storm days during both cold and warm seasons. Following the sampling of PM, Two pro-infiammatory cytokines of IL-6 and TNF-alpha in exhaled breath condensate (EBC) were also determined in the EBC samples via commercial ELISA kits. Daily mean ambient air PM10, PM2.5 and PM1 concentrations during the dust storm days was 221.79, 93.13 and 25.52 mu g m(-3) and in non-dusty days 48.37, 18.54 and 6.1 mu g m(-3), respectively. Biomarkers levels were significantly (p < 0.001) higher in asthmatic students compared to the non-asthmatic subjects. EBC cytokines levels were in-creased in dust storm days compared to the non-dusty days (p < 0.001) and were positively correlated with different size of ambient PM concentration. Dust storm conditions can increase the pro-infiammatory cytokines and cause ad-verse effects on pulmonary health and lung tissue damage.
In the context of urban construction and reconstruction, the sustainable development of cities, air quality and the health of urban residents need to be considered, especially urban street canyons that are closely related to residents. However, traditional street canyons are optimized from a single urban microclimate level, and lack multi-dimensional optimization strategies to deal with climate change and pay attention to human respiratory health. In this study, the Changhuai Street Canyon in Hefei, Anhui Province, China was taken as the measure-ment object, and ENVI-met was used to simulate the fine particles and the physical environment. First, control the three-dimensional space of street canyons reasonably, and then optimize the spatial form of urban street canyons. Second, the PM2.5 concentrations at different selected points and heights were obtained. Finally, the optimization strategy of reducing building height, widening road width and increasing street canyon greening is proposed. This study is based on the comparison of pollutant concentrations between winter and summer in Changhuai street canyons, different sample locations, and different building heights to improve the spatial form of urban street canyons, implement the “dual carbon” goal, and promote sustainable urban development.
The purpose of this study is to evaluate the potential for using the spaces integrating the roads and sidewalks in the street canyon as human-centered spaces, and to investigate more appropriate measures to improve the thermal environment for pedestrians and visitors in these spaces. Based on the spatial distribution of SET* throughout the day, as possible human-centered street space uses, north-south streets with restricted widths and south sidewalks on east-west streets are candidates. Spatiotemporal distributions of SET* were calculated when water was sprinkled on the road surface in the street canyon and when water surface, sunshade, and trees were introduced in the street canyon. Assuming people walk or stay on the water surface, the MRT decreases, causing SET* to be below 31.5 degrees C at any time, so if a continuous supply of water is guaranteed and people can approach the water surface, the water surface can be expected to have a significant impact anywhere at any time. On the east-west street, shading by sunshades and trees occurs along the lanes at any time, allowing pedestrians moving through the lanes to pass through the shaded areas on a periodic cycle. On north-south street, the time required for the countermeasures is limited to around noon, so the measure is effective even if the shade does not occur in the target lanes only around noon.
BACKGROUND: Influenza epidemics pose a threat to human health. It has been reported that meteorological factors (MFs) are associated with influenza. This study aimed to explore the similarities and differences between the influences of more comprehensive MFs on influenza in cities with different economic, geographical and climatic characteristics in Fujian Province. Then, the information was used to predict the daily number of cases of influenza in various cities based on MFs to provide bases for early warning systems and outbreak prevention. METHOD: Distributed lag nonlinear models (DLNMs) were used to analyse the influence of MFs on influenza in different regions of Fujian Province from 2010 to 2021. Long short-term memory (LSTM) was used to train and model daily cases of influenza in 2010-2018, 2010-2019, and 2010-2020 based on meteorological daily values. Daily cases of influenza in 2019, 2020 and 2021 were predicted. The root mean squared error (RMSE), mean absolute error (MAE), mean absolute percentage error (MAPE) and symmetric mean absolute percentage error (SMAPE) were used to quantify the accuracy of model predictions. RESULTS: The cumulative effect of low and high values of air pressure (PRS), air temperature (TEM), air temperature difference (TEMD) and sunshine duration (SSD) on the risk of influenza was obvious. Low (< 979 hPa), medium (983 to 987 hPa) and high (> 112 hPa) PRS were associated with a higher risk of influenza in women, children aged 0 to 12 years, and rural populations. Low (< 9 °C) and high (> 23 °C) TEM were risk factors for influenza in four cities. Wind speed (WIN) had a more significant effect on the risk of influenza in the ≥ 60-year-old group. Low (< 40%) and high (> 80%) relative humidity (RHU) in Fuzhou and Xiamen had a significant effect on influenza. When PRS was between 1005-1015 hPa, RHU > 60%, PRE was low, TEM was between 10-20 °C, and WIN was low, the interaction between different MFs and influenza was most obvious. The RMSE, MAE, MAPE, and SMAPE evaluation indices of the predictions in 2019, 2020 and 2021 were low, and the prediction accuracy was high. CONCLUSION: All eight MFs studied had an impact on influenza in four cities, but there were similarities and differences. The LSTM model, combined with these eight MFs, was highly accurate in predicting the daily cases of influenza. These MFs and prediction models could be incorporated into the influenza early warning and prediction system of each city and used as a reference to formulate prevention strategies for relevant departments.
BACKGROUND: Anthropogenic changes in the environment are increasingly threatening the sustainability of socioecological systems on a global scale. As stewards of the natural capital of over a quarter of the world’s surface area, Indigenous Peoples (IPs), are at the frontline of these changes. Indigenous socioecological systems (ISES) are particularly exposed and sensitive to exogenous changes because of the intimate bounds of IPs with nature. Traditional food systems (TFS) represent one of the most prominent components of ISES, providing not only diverse and nutritious food but also critical socioeconomic, cultural, and spiritual assets. However, a proper understanding of how future climate change may compromise TFS through alterations of related human-nature interactions is still lacking. Climate change resilience of indigenous socioecological systems (RISE) is a new joint international project that aims to fill this gap in knowledge. METHODS AND DESIGN: RISE will use a comparative case study approach coupling on-site socioeconomic, nutritional, and ecological surveys of the target ISES of Sakha (Republic of Sakha, Russian Federation) and Karen (Kanchanaburi, Thailand) people with statistical models projecting future changes in the distribution and composition of traditional food species under contrasting climate change scenarios. The results presented as alternative narratives of future climate change impacts on TFS will be integrated into a risk assessment framework to explore potential vulnerabilities of ISES operating through altered TFS, and possible adaptation options through stakeholder consultation so that lessons learned can be applied in practice. DISCUSSION: By undertaking a comprehensive analysis of the socioeconomic and nutritional contributions of TFS toward the sustainability of ISES and projecting future changes under alternative climate change scenarios, RISE is strategically designed to deliver novel and robust science that will contribute towards the integration of Indigenous issues within climate change and sustainable agendas while generating a forum for discussion among Indigenous communities and relevant stakeholders. Its goal is to promote positive co-management and regional development through sustainability and climate change adaptation.
Sub-Saharan Africa’s freshwater fisheries contribute significantly to the livelihoods and food security of millions of people within the region. However, freshwater fisheries are experiencing multiple anthropogenic stressors such as overfishing, illegal fishing, pollution, and climate change. There is a substantial body of literature on the effects of climate change on freshwater fisheries in Sub-Saharan Africa. This study reviews the existing literature and highlights the effects of climate change on freshwater fisheries, the adaptation strategies of fishery-dependent households in response to the effects, and fisheries’ management and mitigation efforts in the face of climate change. The general effects of climate change on freshwater environments include warming water temperatures, increased stratification, modified hydrological processes, and increased pollutants. These effects adversely affect the physiological processes of fish and the overall wellbeing of fishery-dependent people. To cope with the effects of fluctuating fishery resources due to climate change, fishery-dependent people have adopted several adaptation strategies including livelihood diversification, changing their fishing gear, increasing their fishing efforts, and targeting new species. Several management attempts have been made to enhance the sustainability of fishery resources, from local to regional levels. This study recommends the participation of the resource users in the formulation of policies aimed at promoting climate change adaptation and the resilience of freshwater fisheries for sustainable development.
Urban planning must consider the outdoor thermal comfort of city dwellers, particularly in cities where climate and the effects of climate change may severely influence human health and wellbeing in increasingly hot summers. The role of the urban forest in ameliorating this problem is decisive. The present study is based on a campaign of meteorological measurements in a large number of sites using a mobile data collection system to allow a human-centred approach. The aim is to quantify the different microclimates and thermal comfort conditions in six classes of urban morphology, discriminating landtypes with or without trees. In the case study of Florence, local physical characteristics of the sites; Sky View Factor (SVF), tree shade, ground surface cover, and canyon effect, can moderate human exposure to potentially uncomfortable thermal conditions during a typical Mediterranean summer. Significant differences in Universal Thermal Comfort Index (UTCI) were observed between treeless piazzas and streets and landtypes with trees or high height to width ratio (narrow alleys). Varying levels of SVF and tree cover in the sites allowed the construction of multivariate models, which revealed that, during common summer afternoon conditions, decreases of SVF by 12.5% or increases of tree cover by 25% can reduce the UTCI by 1 degrees. Additionally, the total site factor, by incorporating temporally integrated sun exposure with the sky view factor, revealed itself a promising variable for future studies to use.
BACKGROUND & OBJECTIVES: Weather and climate are directly linked to human health including the distribution and occurrence of vector-borne diseases which are of significant concern for public health. METHODS: In this review, studies on spatiotemporal distribution of dengue, Barmah Forest Virus (BFV) and Ross River Virus (RRV) in Australia and malaria in Papua New Guinea (PNG) under the influence of climate change and/ or human society conducted in the past two decades were analysed and summarised. Environmental factors such as temperature, rainfall, relative humidity and tides were the main contributors from climate. RESULTS: The Socio-Economic Indexes for Areas (SEIFA) index (a product from the Australian Bureau of Statistics that ranks areas in Australia according to relative socio-economic advantage and disadvantage) was important in evaluating contribution from human society. INTERPRETATION & CONCLUSION: For future studies, more emphasis on evaluation of impact of the El Niño-Southern Oscillation (ENSO) and human society on spatio-temporal distribution of vector borne diseases is recommended to highlight importance of the environmental factors in spreading mosquito-borne diseases in Australia and PNG.
Many studies in the last few years have been dedicated to the increasing temperatures and extreme heat in Europe since the second half of the 20th century because of their adverse effects on ecosystems resilience, human health, and quality of life. The present research aims to analyze the spatio-temporal variations of extreme heat events in Southeastern Europe using daily temperature data from 70 selected meteorological stations and applying methodology developed initially for the quantitative assessment of hot weather in Bulgaria. We demonstrate the suitability of indicators based on maximum temperature thresholds to assess the intensity (i.e., magnitude and duration) and the tendency of extreme heat events in the period 1961-2020 both by individual stations and the Koppen’s climate zones. The capability of the used intensity-duration hot spell model to evaluate the severity of extreme heat events has also been studied and compared with the Excess Heat Factor severity index on a yearly basis. The study provides strong evidence of the suitability of the applied combined approach in the investigation of the spatio-temporal evolution of the hot weather phenomena over the considered domain.
BACKGROUND: Cutaneous leishmaniasis (CL) is a vector-borne parasitic diseases of public health importance that is prevalent in the West Bank but not in the Gaza Strip. The disease caused by parasitic protozoans from the genus Leishmania and it is transmitted by infected phlebotomine sand flies. The aim of our study is to investigate the eco-epidemiological parameters and spatiotemporal projections of CL in Palestine over a 30-years period from 1990 through 2020 and to explore future projections until 2060. METHODOLOGY/PRINCIPAL FINDINGS: This long-term descriptive epidemiological study includes investigation of demographic characteristics of reported patients by the Palestinian Ministry of Health (PMoH). Moreover, we explored spatiotemporal distribution of CL including future projection based on climate change scenarios. The number of CL patients reported during this period was 5855 cases, and the average annual incidence rate (AAIR) was 18.5 cases/105 population. The male to female ratio was 1.25:1. Patients-age ranged from 2 months to 89 years (mean = 22.5, std 18.67, and the median was 18 years). More than 65% of the cases came from three governates in the West Bank; Jenin 29% (1617 cases), Jericho 25% (1403), and Tubas 12% (658) with no cases reported in the Gaza Strip. Seasonal occurrence of CL starts to increase in December and peaked during March and April of the following year. Current distribution of CL indicate that Jericho, Tubas, Jenin and Nablus have the most suitable climatic settings for the sandfly vectors. Future projections until 2060 suggest an increasing incidence from northwest of Jenin down to the southwest of Ramallah, disappearance of the foci in Jericho and Tubas throughout the Jordan Vally, and possible emergence of new foci in Gaza Strip. CONCLUSIONS/SIGNIFICANCE: The future projection of CL in Palestine until 2060 show a tendency of increasing incidence in the north western parts of the West Bank, disappearance from Jericho and Tubas throughout the Jordan Vally, and emergence of new CL endemic foci in the Gaza Strip. These results should be considered to implement effective control and surveillance systems to counteract spatial expansion of CL vectors.
To address future environmental change and consequent social vulnerability, a better understanding of future population (FPOP) dynamics is critical. In this regard, notable progress has been made in producing FPOP projections that are consistent with the Shared Socioeconomic Pathways (SSPs) at low resolutions for the globe and high resolutions for specific regions. Building on existing endeavors, here we contribute a new set of 1 km SSP-consistent global population projections (FPOP in short for the dataset) under a machine learning framework. Our approach incorporates a recently available SSP-consistent global built-up land dataset under the Coupled Model Intercomparison Project 6, with the aim to address the misestimation of future built-up land dynamics underlying existing datasets of future global population projections. We show that the overall accuracy of our FPOP outperforms five existing datasets at multiple scales and especially in densely-populated areas (e.g. cities and towns). Followingly, FPOP-based assessments of future global population dynamics suggest a similar trend by population density and a spatial Matthew effect of regional population centralization. Furthermore, FPOP-based estimates of global heat exposure are around 300 billion person-days in 2020 under four SSP-Representative Concentration Pathway (RCPs), which by 2100 could increase to as low as 516 billion person-days under SSP5-RCP4.5 and as high as 1626 billion person-days under SSP3-RCP8.5-with Asia and Africa contributing 64%-68% and 21%-25%, respectively. While our results shed lights on proactive policy interventions for addressing future global heat hazard, FPOP will enable future-oriented assessments of a wide range of environmental hazards, e.g. hurricanes, droughts, and flooding.
Dengue disease has become a major public health problem. Accurate and precise identification, prediction and mapping of high-risk areas are crucial elements of an effective and efficient early warning system in countering the spread of dengue disease. In this paper, we present the fusion area-cell spatiotemporal generalized geoadditive-Gaussian Markov random field (FGG-GMRF) framework for joint estimation of an area-cell model, involving temporally varying coefficients, spatially and temporally structured and unstructured random effects, and spatiotemporal interaction of the random effects. The spatiotemporal Gaussian field is applied to determine the unobserved relative risk at cell level. It is transformed to a Gaussian Markov random field using the finite element method and the linear stochastic partial differential equation approach to solve the “big n” problem. Sub-area relative risk estimates are obtained as block averages of the cell outcomes within each sub-area boundary. The FGG-GMRF model is estimated by applying Bayesian Integrated Nested Laplace Approximation. In the application to Bandung city, Indonesia, we combine low-resolution area level (district) spatiotemporal data on population at risk and incidence and high-resolution cell level data on weather variables to obtain predictions of relative risk at subdistrict level. The predicted dengue relative risk at subdistrict level suggests significant fine-scale heterogeneities which are not apparent when examining the area level. The relative risk varies considerably across subdistricts and time, with the latter showing an increase in the period January-July and a decrease in the period August-December.
BACKGROUND: Most published studies have assessed the overall health impact of temperature by using one-station or multiple-station averaged meteorological and air quality data. Concern has arisen about whether the temperature health impact is homogeneous across the whole territory geographically, since green space and socioeconomic factors may modify the impact. OBJECTIVE: This study aims at investigating how small-area mortality is modified by local temperature and other meteorological, air quality, green space, and socioeconomic factors of small geographic units in a subtropical urban setting. METHODS: Data on meteorological, air pollutants, and non-accidental mortality count in Hong Kong during 2006-2016 were obtained. Combined with green space and socioeconomic data, spatiotemporal analysis using Generalized Additive Mixed Models was conducted to examine the temperature-mortality relationship, adjusted for seasonality, long-term trend, other meteorological factors, pollutants, socioeconomic characteristics and green space. RESULTS: Socioeconomic status was found to modify the temporal temperature-mortality relationship. A J-shape association was identified for most areas in Hong Kong, where a sharp increase of mortality was observed when daily minimum temperature dropped lower than the turning point. However, for people living in the most affluent areas, after the initial increase there was a decrease of mortality for colder days. Besides, when comparing the two spatiotemporal models (i.e. using nearby or central temperature monitoring station), while leaving the other predictors unchanged, this study showed that there was little difference in the overall model performances. CONCLUSION: This study indicated that the daily fluctuation of mortality was associated with daily temperature, while the spatial variation of mortality within this city could be explained by the geographical distribution of green space and socioeconomic factors. Since people living in affluent areas were found to be more tolerant of cold temperatures, it would be more efficient to tailor cold temperature health education and warning information for socioeconomically deprived communities.
Exposure to excessive heat can lead to adverse health outcomes in both healthy and vulnerable individuals. This study examines the spatiotemporal variability of exposure to severe heat at the sub-neighborhood scale using temperature and relative humidity measurements of a wireless distributed sensor network (WDSN). First, we demonstrate a multi-sensor calibration scheme for the temperature and the relative humidity sensors. Next, exposure to heat was calculated using the heat index (HI) scale, which enables linking exposure to HI and heat-related health risks. We noticed repeated exposures to excessive heat above the safe threshold for about 8 h per day throughout July-August, 2015, in Haifa, Israel. Persistent exposure to such conditions is unhealthy. The areas that experienced high HI were scattered across the study area, with the HI showing spatiotemporal variability. In general, in some microenvironments, the HI peaked earlier during the day than in other microenvironments. This was attributed to variability in urban physical drivers, which were found to be good predictors of the morning HI variability buildup but less so of the HI variability in the afternoon. Our results are consistent with summer HI occurrence in the study area in the past 20 years. Since exposure to excessive heat in the east Mediterranean is expected to increase in the future due to climate changes, it may result in a grave health toll.
Floods are great threats to human life and property. Extensive research has investigated the spatiotemporal variation in flood occurrence, while few have studied the heterogeneity in global flood events of different sizes, which may require different coping strategies and risk reduction policies. In this study, we analysed the spatiotemporal patterns of global flood events with different affected areas (classified in three levels) during 1985-2019 and examined the contribution of different influencing factors to flood-induced mortality using Geodetector. The results show that (1) the increase in global flood frequency was mainly caused by Level II and Level III floods, and the average area affected by flood events has been increasing yearly since 1985. (2) In America and Africa, the frequency of Level III floods has increased monotonically. At the same time, the frequency of Level I floods in Europe and Level II floods in Asia has increased significantly. (3) For Europe and Asia, most of the deaths occurred with Level II floods; while for America and Africa, Level III floods caused the most mortality. (4) The top three factors contributing to the spatial heterogeneity in flood-induced mortality were the affected population, GDP per capita and flood duration. The contribution of each factor varied among the different types of floods. Topographic factors (percentage of mountainous area) magnified flood-induced mortality during extreme events with heavy rainfall, especially for Level III floods. The heterogeneity in flood frequency and flood-induced mortality indicates that flood protection measures should be more targeted. In addition, the increase in large-scale floods (Level III) highlights the need for transregional cooperation in flood risk management.
Community and composition of dust-borne microbes would affect human health and are regulated by microbial community assembly. The dust in kindergarten is always collected to evaluate the microbial exposure of children, yet the microbial assembly, their interactions, and potential pathogens in kindergarten dust remain unclear. Here, we aim to investigate the microbial community assembly and structures, and potential bacterial pathogens in outdoor dust of kindergartens, and reveal the factors influencing the assembly and composition of microbial community. A total of 118 urban dust samples were collected on the outdoor impervious surfaces of 59 kin-dergartens from different districts of Xiamen in January and June 2020. We extracted microbial genomic DNA in these dusts and characterized the microbial (i.e., bacteria and fungi) community compositions and diversities using target gene-based (16S rRNA genes for bacterial community and ITS 2 regions for fungal community) high -throughput sequencing. Potential bacterial pathogens were identified and the interactions between microbes were determined through a co-occurrence network analysis. Our results showed the predominance of Actino-bacteria and alpha-Proteobacteria in bacterial communities and Capnodiales in fungal communities. Season altered microbial assembly, composition, and interactions, with both bacterial and fungal communities exhibiting a higher heterogeneity in summer than those in winter. Although stochastic processes predominated in bacterial and fungal community assembly, the season-depended environmental factors (e.g., temperature) and interactions between microbes play important roles in dust microbial community assembly. Potential bacterial pathogens were detected in all urban dust, with significantly higher relative abundance in summer than that in winter. These results indicated that season exerted more profound effects on microbial community composition, as-sembly, and interactions, and suggested the seasonal changes of potential risk of microbes in urban dust. Our findings provide new insights into microbial community, community assembly, and interactions between mi-crobes in the urban dust, and indicate that taxa containing opportunistic pathogens occur commonly in urban dust.
Plague persists in the plague natural foci today. Although previous studies have found climate drives plague dynamics, quantitative analysis on animal plague risk under climate change remains understudied. Here, we analyzed plague dynamics in the Tibetan Plateau (TP) which is a climate-sensitive area and one of the most severe animal plague areas in China to disentangle variations in marmot plague enzootic foci, diffusion patterns, and their possible links with climate and anthropogenic factors. Specifically, we developed a time-sharing ecological niche modelling framework to identify finer potential plague territories and their temporal epidemic trends. Models were conducted by assembling animal records and multi-source ecophysiological variables with actual ecological effects (both climatic predictors and landscape factors) and driven by matching plague strains to periods corresponding to meteorological datasets. The models identified abundant animal plague territories over the TP and suggested the spatial patterns varied spatiotemporal dimension across the years, undergoing repeated spreading and contractions. Plague risk increased in the 1980s and 2000s, with the risk area increasing by 17.7 and 55.5 thousand km(2), respectively. The 1990s and 2010s were decades of decreased risk, with reductions of 71.9 and 39.5 thousand km(2), respectively. Further factor analysis showed that intrinsic conditions (i.e., elevation, soil, and geochemical landscape) provided fundamental niches. In contrast, climatic conditions, especially precipitation, led to niche differentiation and resulted in varied spatial patterns. Additionally, while increased human interference may temporarily reduce plague risks, there is a strong possibility of recurrence. This study reshaped the plague distribution at multiple time scales in the TP and revealed multifactorial synergistic effects on the spreading and contraction of plague foci, confirming that TP plague is increasingly sensitive to climate change. These findings may facilitate groups to take measures to combat the plague threats and prevent potential future human plague from occurring.
Prolonged monocropping of commodity crops, such as peanuts (Arachis hypogea L.) in West Africa, typically strips nutrients from soils and may exacerbate vulnerability to insects and diseases. In this paper, we focus on aflatoxins, toxic chemicals produced by certain molds growing on moist crops, as one risk of growing importance for its negative impacts on human health, crop yields, and agricultural livelihoods and ecosystems. We link the increased prevalence of this deadly fungus to the long history of peanut monoculture, exacerbated by market liberalization and China’s increased investment and export demand for peanuts, climate change, food insecurity, as well as disregard for and displacement of traditional agricultural knowledge. We use a political ecology approach to place the public health threat from aflatoxin in the context of both historical pressures for cash-crop production of peanuts and contemporary soil degradation, food insecurity, climate change precarity and changes within social and economic systems of agriculture in Senegal.
Global warming increases the number and severity of deadly heatwaves. Recent heatwaves often coincided with soil droughts that intensify air temperature but lower air humidity. Since lowering air humidity may reduce human heat stress, the net impact of soil desiccation on the morbidity and mortality of heatwaves remains unclear. Combining weather balloon and satellite observations, atmospheric modelling, and meta-analyses of heatwave mortality, we find that soil droughts—despite their warming effect—lead to a mild reduction in heatwave lethality. More specifically, morning dry soils attenuate afternoon heat stress anomaly by ~5%. This occurs because of reduced surface evaporation and increased entrainment of dry air aloft. The benefit appears more pronounced during specific events, such as the Chicago 1995 and Northern U.S. 2006 and 2012 heatwaves. Our findings suggest that irrigated agriculture may intensify lethal heat stress, and question recently proposed heatwave mitigation measures involving surface moistening to increase evaporative cooling.
Solar geoengineering is often framed as a stopgap measure to decrease the magnitude, impacts, and injustice of climate change. However, the benefits or costs of geoengineering for human health are largely unknown. We project how geoengineering could impact malaria risk by comparing current transmission suitability and populations-at-risk under moderate and high greenhouse gas emissions scenarios (Representative Concentration Pathways 4.5 and 8.5) with and without geoengineering. We show that if geoengineering deployment cools the tropics, it could help protect high elevation populations in eastern Africa from malaria encroachment, but could increase transmission in lowland sub-Saharan Africa and southern Asia. Compared to extreme warming, we find that by 2070, geoengineering would nullify a projected reduction of nearly one billion people at risk of malaria. Our results indicate that geoengineering strategies designed to offset warming are not guaranteed to unilaterally improve health outcomes, and could produce regional trade-offs among Global South countries that are often excluded from geoengineering conversations.
Rainwater pollution in urban areas is a real phenomenon globally, particularly in developing countries. This study aims to trace the origin of polycyclic aromatic hydrocarbons (PAHs) in the Abidjan district’s rainwater and to evaluate the health risk to the population. Ten water samples were collected at two sites, during the dry and rainy seasons over a 2-year period. The use of molecular indices and profiles as well as Spearman’s correlation matrix revealed that the pyrolytic sources, such as wood combustion as well as road traffic, remain the main sources of these pollutants in the water. The risk assessment revealed a higher risk of skin cancer in children.
Climate change and urbanisation have exacerbated social inequities. Increasing urban heat has made high density housing units a vulnerability hotspot. Alternatives to extended air-conditioning are required. This research sought evidence on using urban parks as a sustainable alternative by low-income households deprived of adequate living space. We interviewed occupants of tiny flats (approx. 10 m(2)), known as subdivided units, and compared their park visiting routines and thermal comfort practices with other urban dwellers in Hong Kong. The substandard conditions of these small units have contributed to dwellers’ sensitivity and lower capacity to adapt to summer heat, resulting in heat-related illness. The space-poor households have taken a wider range of adaptive actions and visited urban parks more frequently for cooling. Their higher mobility between home and nearby parks has shortened their home-stay time that would otherwise demand residential space cooling. The findings are important for reconsidering and redressing the uneven distribution of urban green spaces. Poor housing conditions and heat stress have forced disadvantaged households to seek refuge from natural cool spaces, such as vegetated and shaded areas of urban parks. Measures for increasing their accessibility, availability and capacity for heat mitigation are conducive to pro-poor and pro-climate spatial planning.
Wet bulb globe temperature (WBGT) is commonly used to assess human physical activity limits and risk exposure to heat-related injury. Using Australia as a case study location, rates of change in WBGT across a range of temperate to hot and dry to humid climates in response to selected projected climate scenarios were investigated. An established physics-based method for estimating WBGT using standard meteorological data was incorporated into a spatial modelling framework to map WBGT for a baseline period (1986-2005) for mid-summer daytime, mid-summer early morning and mid-winter daytime scenarios, under clear sky conditions and both light (0.5 ms(-1)) and moderate (3.0 ms(-1)) wind speeds at a nominal resolution of 0.05 decimal degrees. The resulting maps of WBGT revealed significant spatial variability in the range and pattern of increased WBGT across the three baseline scenarios in response to projected change under RCP4.5 and RCP8.5 for 2041-2060 and 2061-2080 generated by the ACCESS1.0 climate model. Moderate wind speed scenarios produced significantly cooler WBGTs than the equivalent low wind speed scenarios, reducing mean modelled summer daytime WBGT by 3.2 & DEG;C, summer morning WBGT by 0.8 & DEG;C, and winter daytime WBGT by 3.0 & DEG;C. Projected future summer daytime WBGT under unshaded clear atmospheric conditions with light wind speeds can be expected to exceed the range of the commonly used heat categorisation system used to inform recommended restrictions on physical activity and regularly exceed 35 & DEG;C in northern Australia’s equatorial and tropical climates by mid-century under RCP4.5 and RCP8.5. Summer early morning WBGT and winter daytime WBGT were projected to reach heat categories that would result in recommended restrictions in physical activity continuously (across consecutive 24-h periods) in summer and intermittently (for at least part of the day) year-round by 2050 with more severe conditions by 2070 and/or under RCP8.5 scenarios. Investigations into physical activity limits beyond the current highest heat category and the efficacy of the employed methodology to estimate WBGT above 35 & DEG;C using standard meteorological data are required to prepare for the projected warmer climate.
Green infrastructure (GI) has emerged as a feasible strategy for promoting adaptive capacities of cities to climate change by alleviating urban heat island (UHI) and thus heat stress for humans. However, GI can also intensify the winter cold stress. To understand the extent of UHI within a city as well as the link between outdoor thermal stress both diurnally and seasonally, we carried out an empirical study in Würzburg, Germany from 2018 to 2020. At sub-urban sites, relative humidity and wind speed (WS) was considerably higher and air temperature (AT) lower compared to the inner city sites. Mean AT of inner city sites were higher by 1.3 °C during summer and 5 °C during winter compared to sub-urban sites. The magnitude followed the spatial land use patterns, in particular the amount of buildings. Consequently, out of 97 hot days (AT > 30 °C) in 3 years, 9 days above the extreme threshold of wet bulb globe temperature of 35 °C were recorded at a centre location compared to none at a sub-urban site. Extreme heat stress could be halved with 30-40% cover of greenspaces including grass lawns, green roofs, and green walls with little compromise in increasing winter cold stress.
Increasing temperatures due to climate change have contributed to a northward range expansion of Ixodes scapularis ticks in Canada. These ticks harbour pathogens of public and animal health significance, including Borrelia burgdorferi and Anaplasma phagocytophilum, which cause Lyme disease and anaplasmosis, respectively, in humans, dogs and horses, and Borrelia miyamotoi, which causes a flu-like relapsing fever in humans. To address the risks associated with these vector-borne zoonotic diseases, continuous tick surveillance is advised. This study examined spatial patterns of B. burgdorferi, B. miyamotoi and A. phagocytophilum from ticks submitted through a national study on ticks of companion animals. From 1 April 2019 to 31 March 2020, we received a total of 1541 eligible submissions from 94 veterinary clinics across Canada. Individual and pooled samples of a maximum of either 5 I. scapularis, I. pacificus or I. angustus samples from the same animal and of the same life stage were screened using real-time PCR targeting genes 23S rRNA for Borrelia spp. and msp2 for A. phagocytophilum. Confirmatory testing was conducted on all 23S rRNA positive samples using a duplex assay for ospA and flaB to differentiate B. burgdorferi and B. miyamotoi, respectively. Prevalence estimates were highest (>20%) for B. burgdorferi in southwestern Manitoba, eastern Ontario, southwestern Quebec, New Brunswick and Nova Scotia. Estimates of B. miyamotoi and A. phagocytophilum were much lower (<5%), except for higher A. phagocytophilum (>5%) estimates for southern Manitoba, eastern Ontario and Prince Edward Island. Findings from this study, combined with other surveillance approaches, can be used to guide veterinary and public health approaches for ticks and tick-borne diseases.
Under the Global Program to Eliminate Lymphatic Filariasis (LF) American Samoa conducted seven rounds of mass drug administration (MDA) between 2000 and 2006. Subsequently, the territory passed the WHO recommended school-based transmission assessment survey (TAS) in 2011/2012 (TAS-1) and 2015 (TAS-2) but failed in 2016, when both TAS-3 and a community survey found LF antigen prevalence above what it had been in previous surveys. This study aimed to identify potential environmental drivers of LF to refine future surveillance efforts to detect re-emergence and recurrence. Data on five LF infection markers: antigen, Wb123, Bm14 and Bm33 antibodies and microfilaraemia, were obtained from a population-wide serosurvey conducted in American Samoa in 2016. Spatially explicit data on environmental factors were derived from freely available sources. Separate multivariable Poisson regression models were developed for each infection marker to assess and quantify the associations between LF infection markers and environmental variables. Rangeland, tree cover and urban cover were consistently associated with a higher seroprevalence of LF-infection markers, but to varying magnitudes between landcover classes. High slope gradient, population density and crop cover had a negative association with the seroprevalence of LF infection markers. No association between rainfall and LF infection markers was detected, potentially due to the limited variation in rainfall across the island. This study demonstrated that seroprevalence of LF infection markers were more consistently associated with topographical environmental variables, such as gradient of the slope, rather than climatic variables, such as rainfall. These results provide the initial groundwork to support the detection of areas where LF transmission is more likely to occur, and inform LF elimination efforts through better understanding of the environmental drivers.
Understanding the response of dengue fever to climate change remains a global public health concern. A rich array of mathematical models have been proposed to help estimate future population exposure and vulnerability. While these models have proved helpful in modeling mosquito distribution and/or revealing dengue transmission mechanism, they have rarely been incorporated into distribution estimates, particularly at large spatial and temporal scales, to evaluate dengue response to long-term environmental change. Here, we develop a novel mechanistic phenology model that explicitly describes the dengue epidemic process completion (DPEC) ac-cording to empirically derived responses to environmental conditions. Further, we apply this model to Aedes albopictus and dengue transmission in mainland China. We validate the model with recorded indigenous dengue cases, and reveal the power of model prediction. Results suggest that future temperature rise promotes geographic expansion of mosquitoes and dengue fever, respectively around 3-15% and 4-10% increment in the area by 2080, compared to nowadays. Results also indicate a more extended season (1-2 months increment) and stronger intensity (up to 4 DEPC increment) of dengue transmission by 2080. Most importantly, our model discloses a weak correlation between the spreading pattern of dengue and Aedes albopictus. Using the spatial expansion trend of mosquito to infer the risk of dengue to the human population is likely to bring about strong bias in spreading direction and/or overestimate dengue distribution. Our study paves a way to provide a useful tool and precise information for predicting dengue dynamics. It also helps design control strategies to prevent arbovirus outbreaks worldwide in areas colonized by Aedes mosquitoes.
Persons with disabilities (PwD), the world’s largest minority, can be more susceptible to particulate matter (PM) than persons without disabilities. Although numerous studies have addressed population susceptibility to PM, PwD have not been studied in air pollution epidemiology. This study investigated the association between short-term exposure to PM with an aerodynamic diameter smaller than 10 μm (PM(10)) and cardiovascular hospital admissions by the existence of a disability, while also considering intersections of disability and other socio-demographic characteristics in South Korea. We used the National Health Insurance Service-National Sample Cohort (NHIS-NSC) to investigate the association between short-term exposure to PM(10) and cardiovascular hospital admissions in seven metropolitan cities from 2002 to 2015. We conducted a time-stratified case-crossover analysis using conditional logistic regression and adjusted for daily temperature, relative humidity, air pressure, and national holidays. We conducted stratified analyses according to the existence of a disability, disability type and severity, and socio-demographic characteristics. The results showed that a 10 μg/m(3) increase in the 0-3 moving average level of PM(10) was associated with 1.9 % (95 % confidence interval [CI]: 0.7 %, 3.2 %) and 0.0 % (95 % CI: -0.5 %, 0.5 %) increase in cardiovascular admissions in persons with and without disabilities, respectively. Among PwD, the associations were pronounced in people with brain lesion disorders (percent change [PC]: 2.7 %, 95 % CI: 0.5 %, 5.0 %), people with visual impairment (PC: 3.0 %, 95 % CI: -1.0 %, 7.1 %), and people with severe disability (PC: 3.0 %, 95 % CI: 0.9 %, 5.0 %). We found that PwD may be more adversely affected by PM(10) than their non-disabled counterparts. This suggests that PwD is a social identity reflecting the socially marginalized and disadvantaged population in air pollution epidemiology.
Vector-borne diseases can usually be examined with a vector-host model like the SIRUV model. This, however, depends on parameters that contain detailed information about the mosquito population that we usually do not know. For this reason, in this article, we reduce the SIRUV model to an SIR model with a time-dependent and periodic transmission rate beta(t). Since the living conditions of the mosquitos depend on the local weather conditions, meteorological data sets flow into the model in order to achieve a more realistic behavior. The developed SIR model is adapted to existing data sets of hospitalized dengue cases in Jakarta (Indonesia) and Colombo (Sri Lanka) using numerical optimization based on Pontryagin’s maximum principle. A previous data analysis shows that the results of this parameter fit are within a realistic range and thus allow further investigations. Based on this, various simulations are carried out and the prediction quality of the model is examined.
How does subjective well-being depend on the fate of others when a covariate shock strikes? We address this question by providing novel evidence on the impact of shock-induced damages experienced by individuals and their reference group on life satisfaction. We do so by examining the case of pastoralists in Mongolia, who faced a once-in-50-years winter disaster. Our identification strategy exploits the quasi-experimental nature of the extreme event. The empirical analysis builds on a detailed household panel survey, complemented with aggregated climate data and historic livestock census data. Results show that exposure to the extreme event significantly and strongly reduces subjective well-being even 4-5 years after the event occurred. The negative shock impact is amplified by observing peers doing economically worse. Similarly, exposure to the extreme event increases the perceived inequality among households with assets at risk. We argue that the event increased sectoral disparities between pastoralists and those households not engaged in agriculture.
Africa is one of the regions with high mycotoxin contamination of foods and continues to record high incidences of liver cancers globally. The agricultural sector of most African countries depends largely on climate variables for crop production. Production of mycotoxins is climate-sensitive. Most stakeholders in the food production chain in Africa are not aware of the health and economic effects of consuming contaminated foods. The aim of this review is to evaluate the main factors and their degree of contribution to the high levels of mycotoxins in African foods. Thus, knowledge of the contributions of different factors responsible for high levels of these toxins will be a good starting point for the effective mitigation of mycotoxins in Africa. Google Scholar was used to conduct a systemic search. Six factors were found to be linked to high levels of mycotoxins in African foods, in varying degrees. Climate change remains the main driving factor in the production of mycotoxins. The other factors are partly man-made and can be manipulated to become a more profitable or less climate-sensitive response. Awareness of the existence of these mycotoxins and their economic as well as health consequences remains paramount. The degree of management of these factors regarding mycotoxins varies from one region of the world to another.
Natural disasters occurring in inaccessible rural areas are on the rise, leading to the multiplication of first responders’ missions. However, engagement in fighting wildfires or participating in rescue missions includes risks for the well-being of the engaged first responders. Consequently, a system that monitors their actions and provides real-time and actionable information without obstructing their operational capacity is needed. The EU-funded SIXTHSENSE project aims to improve the efficiency and safety of first responders’ engagement in difficult environments by optimizing on-site team coordination and mission implementation. The project proposes an innovative wearable health monitoring system based on multimodal biosensor data that enables first responders to detect risk factors early on and allows real-time monitoring of all deployed responders. This paper is an introduction to the overall concept of the project, to the methodology and the system architecture, moreover details on Alpha version of SixthSense prototype are presented.
BACKGROUND:The challenges of climate change and increasing frequency of severe weather conditions has demanded innovative approaches to wildfire suppression. Australia’s wildfire management includes an expanding aviation program, providing both fixed and rotary wing aerial platforms for reconnaissance, incident management, and quick response aerial fire suppression. These operations have typically been limited to day visual flight rules operations, but recently trials have been undertaken extending the window of operations into the night, with the assistance of night vision systems. Already a demanding job, night aerial firefighting operations have the potential to place even greater physical and mental demands on crewmembers. This study was designed to investigate sleep, fatigue, and performance outcomes in Australian aerial firefighting crews.METHODS:A total of nine subjects undertook a 21-d protocol, completing a sleep and duty diary including ratings of fatigue and workload. Salivary cortisol was collected daily, with additional samples provided before and after each flight, and heart rate variability was monitored during flight. Actigraphy was also used to objectively measure sleep during the data collection period.RESULTS:Descriptive findings suggest that subjects generally obtained >7 h sleep prior to flights, but cortisol levels and self-reported fatigue increased postflight. Furthermore, the greatest reported workload was associated with the domains of ‘performance’ and ‘mental demand’ during flights.DISCUSSION:Future research is necessary to understand the impact of active wildfire response on sleep, stress, and workload on aerial firefighting crews.Sprajcer M, Roberts S, Aisbett B, Ferguson S, Demasi D, Shriane A, Thomas MJW. Sleep, workload, and stress in aerial firefighting crews. Aerosp Med Hum Perform. 2022; 93(10):749-754.
Small Island Developing States (SIDS) have been impacted by and responded to COVID-19 in ways that give us clues about vulnerabilities under climate change, as well as pathways to resilience. Here, we reflect on some of these experiences drawing on case study examples from the Caribbean, Pacific, and Indian Ocean SIDS, exploring how SIDS have responded to COVID-19 and considering the potential for coping mechanisms enacted for the pandemic to support long-term resilience to climate change. Island responses to the pandemic highlight both new directions, like tourist schemes that capitalize on the rise of remote working in Barbados and Mauritius, and reliance on tried and tested coping mechanisms, like bartering in Fiji. Some of the actions undertaken to respond to the pressures of the pandemic, such as visa schemes promoting “digital nomadism” and efforts to grow domestic food production, have climate resilience and equity dimensions that must be unpacked if their potential to contribute to more sustainable island futures is to be realized. Importantly, the diversity of contexts and experiences described here illustrates that there is no single “best” pathway to climate-resilient post-pandemic futures for SIDS. While the emerging rhetoric of COVID-19 recovery often speaks of “roadmaps,” we argue that the journey towards a climate-resilient COVID-19 recovery for SIDS is likely to involve detours, as solutions emerge through innovation and experiment, and knowledge-sharing across the wider SIDS community. This article is categorized under: Climate and Development > Sustainability and Human Well-Being Integrated Assessment of Climate Change > Assessing Climate Change in the Context of Other Issues
BACKGROUND: Epidemiological literature on the health risks associated with non-optimal temperature has mostly reported average estimates across large areas or specific population groups. However, the heterogeneous distribution of drivers of vulnerability can result in local differences in health risks associated with heat and cold. We aimed to analyse the association between ambient air temperature and all-cause mortality across England and Wales and characterise small scale patterns in temperature-related mortality risks and impacts. METHODS: We performed a country-wide small-area analysis using data on all-cause mortality and air temperature for 34 753 lower super output areas (LSOAs) within 348 local authority districts (LADs) across England and Wales between Jan 1, 2000, and Dec 31, 2019. We first performed a case time series analysis of LSOA-specific and age-specific mortality series matched with 1 × 1 km gridded temperature data using distributed lag non-linear models, and then a repeated-measure multivariate meta-regression to pool LAD-specific estimates using area-level climatological, socioeconomic, and topographical predictors. FINDINGS: The final analysis included 10 716 879 deaths from all causes. The small-area assessment estimated that each year in England and Wales, there was on average 791 excess deaths (empirical 95% CI 611-957) attributable to heat and 60 573 (55 796-65 145) attributable to cold, corresponding to standardised excess mortality rates of 1·57 deaths (empirical 95% CI 1·21-1·90) per 100 000 person-years for heat and 122·34 deaths (112·90-131·52) per 100 000 person-years for cold. The risks increased with age and were highly heterogeneous geographically, with the minimum mortality temperature ranging from 14·9°C to 22·6°C. Heat-related mortality was higher in urban areas, whereas cold-related mortality showed a more nuanced geographical pattern and increased risk in areas with greater socioeconomic deprivation. INTERPRETATION: This study provides a comprehensive assessment of excess mortality related to non-optimal outdoor temperature, with several risk indicators reported by age and multiple geographical levels. The analysis provides detailed risk maps that are useful for designing effective public health and climate policies at both local and national levels. FUNDING: Medical Research Council, Natural Environment Research Council, EU Horizon 2020 Programme, National Institute of Health Research.
Malnutrition is one of the major challenges the developing world is currently facing, whether it is caused by climate change, terrorism and conflict, or demographic shifts. Poverty is the main cause of malnutrition in this part of the world, and no progress is possible without the alleviation of poverty to reduce malnutrition. Reducing household vulnerability and increasing household resilience is the pathway to sustainable malnutrition management. Malnutrition has been a major threat to the health and development of children in developing countries, presenting as high levels of micronutrient deficiencies, stunting, and global acute malnutrition. The rates of malnutrition of all forms are above the thresholds accepted by the WHO in some regions. To this end, the resilience program on achieving nutrition in a developing country through at-home learning activities for nutritional rehabilitation and dietary promotion (known as FARN) reported, in this case, successful results from both statements from beneficiaries and non-beneficiaries on the reduction and management of malnutrition in their health centers. FARN activity encourages the consumption of locally available foods not only to eradicate malnutrition but also to protect the ecosystem and sustainable nutrition security. This is much like the saying, “Give a man a fish and you feed him for a day. Teach a man to fish and you feed him for a lifetime” to the vulnerable people; parents’ knowledge of their child’s nutritional status and the use of local-based foods diets showed improvement, which is proof of the impact of the resilience program. It can be concluded that the resilience program through its activities at the level of the selected community significantly affected the factors and degree of persistence of malnutrition and the level of resilience of the populations. Thus, the FARN program showed resounding success in its ability to promote sustainable malnutrition management.
Wildfires are occurring worldwide with greater frequency and intensity. Wildfires, as well as other sources of air pollution including environmental tobacco smoke, household biomass combustion, agricultural burning, and vehicular emissions, release large amounts of toxic substances into the atmosphere. The ocular surface is constantly exposed to the ambient air and is hence vulnerable to damage from air pollutants. This review describes the detrimental effects of wildfire smoke and air pollution on the ocular surface and resultant signs and symptoms. The latest relevant evidence is synthesised and critically evaluated. A mechanism for the pathophysiology of ocular surface damage will be proposed considering the existing literature on respiratory effects of air pollution. Current strategies to reduce human exposure to air pollutants are discussed and specific possible approaches to protect the ocular surface and manage air pollution induced ocular surface damage are suggested. Further avenues of research are suggested to understand how acute and chronic air pollution exposure affects the ocular surface including the short and long-term implications.
Climate change is a social justice issue, and people who experience disadvantage and marginalisation are most vulnerable to the impacts of climate change. In 2019-2020, the government of the state of Western Australia (WA) held the world’s first inquiry into climate change and health. The Inquiry report, submissions, and hearing transcripts make an important contribution to a small but growing body of evidence that climate change exacerbates and reinforces existing social inequalities in WA in areas such as health, economics, gender relations, and access and inclusion. However, in late-2020, the WA government released its 38-page Climate Policy, with very limited reference to social justice and only one use of the word ‘people’. Our critical intersectional feminist analysis finds a prevailing dissonance between climate evidence and climate policy in WA. Climate governance in WA is ill prepared, if not unwilling, to support people who experience disadvantage and are on the frontlines of the climate crisis. There is an urgent need for policies and actions to address multiple dimensions of inequality under climate change, across the fields of climate change mitigation, adaptation, and disaster response.
Background/Objective: In addition to negative psychological reactions, individuals who experienced traumatic events may also show positive psychological and behavioral changes. This study examined the relationships between social support, belief in a just world (BJW), empathy, posttraumatic growth (PTG), and prosocial behaviors to clarify whether PTG and prosocial behaviors had shared or unique underlying mechanisms. Method: We used a self-reported questionnaire to investigate 920 adolescents that experienced a catastrophic flood in Henan Province, China, in July 2021. Structured equation modeling was used for the data analysis. Results: After controlling for trauma exposure, social support was directly related to both PTG and prosocial behaviors. Social support was also indirectly related to both PTG and prosocial behaviors via BJW. Moreover, social support was indirectly associated with prosocial behavior via empathy and via the path from BJW to empathy. Conclusions: These findings indicate that BJW and empathy play different roles in the relationships between social support and PTG and prosocial behavior, and suggest these relationships have unique mechanisms.
Suicidal ideation and thoughts of self-harm continue to be challenging public health problems. It is presently unknown what the prevalence and correlates of suicidal thoughts and self-harm are in female residents of Fort McMurray, a city that has endured wildfires, flooding, and the COVID-19 pandemic in the last five years. This study aimed to determine the prevalence and correlates of suicidal ideation and thoughts of self-harm among female residents of Fort McMurray. A cross-sectional study using an online survey questionnaire was used to collect sociodemographic and clinical information from the residents of Fort McMurray between 24 April and 2 June 2021. Suicidal ideation and thoughts of self-harm among females were assessed using the ninth question of the Patient Health Questionnaire-9, a validated screening tool used to assess depression symptoms. Likely generalized anxiety disorder (GAD), major depressive disorder (MDD), post-traumatic stress disorder (PTSD) and low resilience were measured using standardized rating scales. Data were analyzed with SPSS version 25 using chi-squared tests and multivariate logistic regression analysis. Among Fort McMurray residents, 249 accessed the online survey, while 186 ultimately completed it, yielding a survey completion rate of 74.7%. Of these, 159 (85%) were females. After controlling for other variables in the regression model, respondents who expressed a desire to receive mental health counselling were more than seven times more likely to report suicidal ideation and thoughts of self-harm compared to the respondents who did not desire to receive mental health counselling (OR: 7.29; 95% CI: 1.19-44.58). Similarly, respondents who reported having abused alcohol in the past year were nearly four times more likely to report suicidal ideation or thoughts of self-harm compared to the respondents who said they had not abused alcohol in the past year (OR: 3.91; 95% CI: 1.05-14.57). A high prevalence of suicidal thoughts and thoughts of self-harm were reported among female residents of Fort McMurray. Timely access to adequate mental health support should be offered to female residents of communities impacted by multiple natural disasters, particularly residents who self-report alcohol abuse or desire to receive mental health counselling.
The Sendai Framework for Disaster Risk Reduction 2015-2030 set seven global targets of which the first two targets are to reduce disaster deaths (target A) and diminish the number of affected people globally (target B) by 2030. To realize these targets, the United Nations General Assembly’s Expert Working Group provided indicators to measure progress as well as terminologies for these targets in 2017. Research around these targets is nascent. This article contributes to the understanding of the targets by exploring: (1) what are the conditions that may hinder achieving targets, as well as those that may accelerate their achievement at the national and local levels; and (2) which types of organizations should lead a country’s effort to reduce disaster deaths? These questions were answered by opinion survey research carried out at the Sixth Session of the Global Platform for Disaster Risk Reduction. The participants identified disaster risk reduction efforts, early warning systems, awareness, finance and investment (among others) as the important facilitating factors to achieve targets A and B. Minimal investment in human security, lack of response and coordination, uncertainty of climate change, poor information, lack of campaigns and low budget allocation (among others) are considered as the important hindering factors for these targets by the participants. The findings also suggest that the facilitating and hindering variables of targets A and B are interconnected with global target E (disaster risk governance and capacity building). The majority of the participants thought that it is the national government who should lead in a country’s effort to reduce disaster deaths. Based on these findings, a few recommendations have been made to improve policy and practice related to the indicators as well as to reimagine theories so that targets A and B can be realized in alignment with target E at the national and local levels by 2030.
Water, which is vital for the sustainability of economic development, is vital for the sustainability of life. Due to climate change globally, the water level in the dams has decreased due to the decrease in the rains and the pollution in the tap water has increased. This situation also increases concerns about drinking water safety. More than 7 million people died from water-related diseases all around the world. This situation has increased the efforts on providing adequate and qualified drinking water. In parallel with the rise of population and living standards, the drinking water demand and market developments shape the public and private authorities’ marketing policies in both developed and developing countries. This study aims to determine the factors affecting the population’s drinking water health risk sensitivity in urban life. The data was a primary consumer data and obtained by face to face survey method from 965 households. The field study sample was carried out in the Mediterranean Region. The data obtained from the consumers were analysed with the SPSS program. Factor analysis method, one of the multivariate analysis techniques, was used in the study. The results showed that the factors identified 61.57 percent of the total variance (KMO value: 0.840). Accordingly, these were identified as key factors for the consumer reliability perception on drinking water: consumers’ health awareness, water quality perception for tap and bottled water, buying consciousness. concern on water-borne diseases and the public news related drinking water.
Evidence exists that exposure to weather hazards, particularly in cities subject to heat island and climate change impacts, strongly affects individuals’ physical and mental health. Personal exposure to and sentiments about warm conditions can currently be expressed on social media, and recent research noted that the geotagged, time-stamped, and accessible social media databases can potentially be indicative of the public mood and health for a region. This study attempts to understand the relationships between weather and social media sentiments via Twitter and weather data from 2012 to 2019 for two cities in hot climates: Singapore and Phoenix, Arizona. We first detected weather-related tweets, and subsequently extracted keywords describing weather sensations. Furthermore, we analyzed frequencies of most used words describing weather sensations and created graphs of commonly occurring bigrams to understand connections between them. We further explored the annual trends between keywords describing heat and heat-related thermal discomfort and temperature profiles for two cities. Results showed significant relationships between frequency of heat-related tweets and temperature. For Twitter users exposed to no strong temperature seasonality, we noticed an overall negative cluster around hot sensations. Seasonal variability was more apparent in Phoenix, with more positive weather-related sentiments during the cooler months. This demonstrates the viability of Twitter data as a rapid indicator for periods of higher heat experienced by public and greater negative sentiment toward the weather, and its potential for effective tracking of real-time urban heat stress.
Lyme borreliosis is the leading tick-related illness in Europe, caused by Borrelia Burgdorferi s.l. Lower Saxony, Germany, including its capital, Hanover, has a higher proportion of infected ticks than central European countries, justifying a research focus on the potential human consequences. The current knowledge gap on human incident infections, particularly in Western Germany, demands serological insights, especially regarding a potentially changing climate-related tick abundance and activity. We determined the immunoglobulin G (IgG) and immunoglobulin M (IgM) serostatuses for 8009 German National Cohort (NAKO) participants from Hanover, examined in 2014-2018. We used an enzyme-linked immunosorbent assay (ELISA) as the screening and a line immunoblot as confirmation for the Borrelia Burgdorferi s.l. antibodies. We weighted the seropositivity proportions to estimate general population seropositivity and estimated the force of infection (FOI). Using logistic regression, we investigated risk factors for seropositivity. Seropositivity was 3.0% (IgG) and 2.1% (IgM). The FOI varied with age, sharply increasing in participants aged ≥40 years. We confirmed advancing age and male sex as risk factors. We reported reduced odds for seropositivity with increasing body mass index and depressive symptomatology, respectively, pointing to an impact of lifestyle-related behaviors. The local proportion of seropositive individuals is comparable to previous estimates for northern Germany, indicating a steady seroprevalence.
The Flavivirus genus is made up of viruses that are either mosquito-borne or tick-borne and other viruses transmitted by unknown vectors. Flaviviruses present a significant threat to global health and infect up to 400 million of people annually. As the climate continues to change throughout the world, these viruses have become prominent infections, with increasing number of infections being detected beyond tropical borders. These include dengue virus (DENV), West Nile virus (WNV), Japanese encephalitis virus (JEV), and Zika virus (ZIKV). Several highly conserved epitopes of flaviviruses had been identified and reported to interact with antibodies, which lead to cross-reactivity results. The major interest of this review paper is mainly focused on the serological cross-reactivity between DENV serotypes, ZIKV, WNV, and JEV. Direct and molecular techniques are required in the diagnosis of Flavivirus-associated human disease. In this review, the serological assays such as neutralization tests, enzyme-linked immunosorbent assay, hemagglutination-inhibition test, Western blot test, and immunofluorescence test will be discussed. Serological assays that have been developed are able to detect different immunoglobulin isotypes (IgM, IgG, and IgA); however, it is challenging when interpreting the serological results due to the broad antigenic cross-reactivity of antibodies to these viruses. However, the neutralization tests are still considered as the gold standard to differentiate these flaviviruses.
BACKGROUND: The aim of the EU-funded HERA (health and environment research agenda) project is to set priorities for the future European research agenda in the environment, climate and health nexus. We report results from a European researcher’s perspective and identify research areas that have been inadequately investigated to date. METHODS: An online survey was completed by European researchers to assess, evaluate and visualise research gaps. These research gaps were identified for 21 predefined areas within 3 main categories: i) classical environment and health paradigm; ii) problem or sector-based research areas and approaches and iii) holistic research areas and concepts. All research gaps were then evaluated by expert groups with the pre-defined criteria and systematically summarized. For areas identified within the survey as under-reported, additional input was sought from a range of key selected experts. The EU project database Cordis was utilized to verify that these areas were under-researched. RESULTS: Between May and July 2019, 318 respondents from 38 countries reported 624 research gaps. The main areas for attention identified were: urban environments; chemicals; and climate change, (combined n = 313 gaps). Biodiversity loss and health; transport, mobility, sustainable solutions and health; energy transition and health; waste and the circular economy and health; ethics and philosophy and health were areas that were acknowledged as under-researched (combined n = 27 gaps). These under-researched areas were identified as having certain commonalities, they: i) mostly fell in the category “problem or sector based approaches”; ii) they are essential for developing and implementing solutions; and iii) require trans-disciplinary and cross-sectoral collaboration. CONCLUSIONS: Currently attention is given to topical and highly researched areas in environmental health. In contrast, this paper identifies key topics and approaches that are under-researched, yet, are critical for the implementation of the EU Green Deal, related strategies and action plans, and require further investigation and investment. The findings reveal the imperative to foster solutions-oriented, trans-disciplinary and participatory research and its implementation through changes in research funding and research structures.
Growing literatures have explored the cardiorespiratory health effects of the daily temperature, but such effects of temperature variability remain unclear. We investigated the acute associations of personal levels of temperature variability with cardiorespiratory biomarkers. This is a panel study with four repeated measurements among forty eligible college students in Hefei, Anhui Province, China. We collected personal-level temperature data using temperature/humidity data loggers. Temperature variability parameters included diurnal temperature range (DTR), the standard-deviation of temperature (SDT) and temperature variability (TV). Cardiorespiratory health indicators included three BP parameters [systolic BP (SBP), diastolic BP (DBP) and mean article pressure (MAP)], fractional exhaled nitric oxide (FeNO), and four saliva biomarkers [C-reactive protein (CRP), cortisol, alpha-amylase and lysozyme]. Linear mixed-effect models were then used to assess the associations of temperature variability with these cardiorespiratory biomarkers. We found that short-term exposure to the three temperature variability parameters was associated with these cardiorespiratory biomarkers. The magnitude, direction and significance of these associations varied by temperature variability parameters, by biomarkers and by lags of exposure. Specifically, temperature variability parameters were inversely associated with BP and saliva lysozyme; positively associated with airway inflammation biomarkers (FeNO and saliva CRP) and stress response biomarkers (saliva cortisol and alpha-amylase). The results were robust to further control for air pollutants, and these associations were more prominent in females and in subjects with abnormal body mass index. Our findings suggested that acute exposure to temperature variability could significantly alter cardiorespiratory biomarker profiles among healthy young adults in China.
BACKGROUND: In North African countries, zoonotic cutaneous leishmaniasis (ZCL) is a seasonal disease linked to Phlebotomus papatasi, Scopoli, 1786, the primary proven vector of L. major dynamics. Even if the disease is of public health importance, studies of P. papatasi seasonal dynamics are often local and dispersed in space and time. Therefore, a detailed picture of the biology and behavior of the vector linked with climatic factors and the framework of ZCL outbreaks is still lacking at the North African countries’ level. Our study aims to fill this gap via a systematic review and meta-analysis of the seasonal incidence of ZCL and the activity of P. papatasi in North African countries. We address the relationship between the seasonal number of declared ZCL cases, the seasonal dynamic of P. papatasi, and climatic variables at the North African region scale. METHODS: We selected 585 publications, dissertations, and archives data published from 1990 to July 2022. The monthly incidence data of ZCL were extracted from 15 documents and those on the seasonal dynamic of P. papatasi from 11 publications from four North African countries. RESULTS: Our analysis disclosed that for most studied sites, the highest ZCL incidence is recorded from October to February (the hibernal season of the vector), while the P. papatasi density peaks primarily during the hot season of June to September. Overall, at the North African region scale, two to four months laps are present before the apparition of the scars reminiscent of infection by L. major. CONCLUSIONS: Such analysis is of interest to regional decision-makers for planning control of ZCL in North African countries. They can also be a rationale on which future field studies combining ZCL disease incidence, vector activity, and climatic data can be built.
BACKGROUND: Although seasonal variations in mortality have been recognized for millennia, the role of temperature remains unclear. We aimed to assess seasonal variation in mortality and to examine the contribution of temperature. METHODS: We compiled daily data on all-cause, cardiovascular and respiratory mortality, temperature and indicators on location-specific characteristics from 719 locations in tropical, dry, temperate and continental climate zones. We fitted time-series regression models to estimate the amplitude of seasonal variation in mortality on a daily basis, defined as the peak-to-trough ratio (PTR) of maximum mortality estimates to minimum mortality estimates at day of year. Meta-analysis was used to summarize location-specific estimates for each climate zone. We estimated the PTR with and without temperature adjustment, with the differences representing the seasonal effect attributable to temperature. We also evaluated the effect of location-specific characteristics on the PTR across locations by using meta-regression models. RESULTS: Seasonality estimates and responses to temperature adjustment varied across locations. The unadjusted PTR for all-cause mortality was 1.05 [95% confidence interval (CI): 1.00-1.11] in the tropical zone and 1.23 (95% CI: 1.20-1.25) in the temperate zone; adjusting for temperature reduced the estimates to 1.02 (95% CI: 0.95-1.09) and 1.10 (95% CI: 1.07-1.12), respectively. Furthermore, the unadjusted PTR was positively associated with average mean temperature. CONCLUSIONS: This study suggests that seasonality of mortality is importantly driven by temperature, most evidently in temperate/continental climate zones, and that warmer locations show stronger seasonal variations in mortality, which is related to a stronger effect of temperature.
ObjectiveTo investigate a seasonal variation in blood pressure (BP) for patients undergoing hemodialysis (HD). MethodsIn this retrospective study, we exported all BP measurements from the information system to investigate a seasonal variation of BP. We also investigated a seasonal variation in BP for patients of different gender types, of different age groups, with diabetic nephropathy (DN), and with non-DN having HD. Multiple linear regression models were used to explore the associations between BP and climatic parameters. ResultsIn 2019, a total of 367 patients had received HD therapy in the Longwen HD unit. We included nearly 40,000 pre-dialysis BP measurements. The result of our study demonstrated a clear seasonal variation in pre-dialysis BP in general patients with HD, in male and female patients, and patients with DN and non-DN. December seemed to be a peak in the values of pre-dialysis systolic BP (SBP) and diastolic BP (DBP). The nadir values of pre-dialysis SBP and DBP were observed in June and July, respectively. A difference between peak and nadir values of BP is 3.81/2.20 mmHg in patients undergoing HD. Maximal seasonal variation in BP is 9.03/5.08 mmHg for patients with DN. A significant association of SBP and DBP with climatic parameters was found in this study. Pre-dialysis BP was inversely correlated with outdoor temperature, daytime length, and relative humidity. ConclusionA clear seasonal variation in BP is observed for patients with HD. Pre-dialysis SBP and DBP are inversely associated with outdoor temperature, daytime length, and relative humidity. The magnitude of a seasonal variation in BP increases in patients with DN.
Dengue fever (DF) is associated with significant morbidity across the tropics and sub-tropics. Here, we used a temperature-based model of the extrinsic incubation period (EIP) and a temperature and humidity-based model for adult mosquito survival to explore the relationship between seasonal climate variability and DF in Brazil from 2014 to 2019. We found that municipalities with higher mosquito survival probabilities and shorter EIPs were more likely to be associated with DF case reports, but with significant intra-annual variability. A 0.012 or above probability of Aedes aegypti surviving the EIP was associated with a greater than 50% probability of DF being reported in the municipality. We extrapolated these results to the Americas using climate data over the last decade (2010-2019) to map the seasonal change in the range of areas suitable for dengue virus transmission and the magnitude of the population living in those areas. Areas near the Equator exhibited high suitability throughout the year whereas suitability in the subtropics and temperate regions varied seasonally, especially moving poleward. Strengthening our understanding of DF seasonality is essential to mitigating risks, particularly as the Americas experience the impacts of climate change.
Anthrax is hyper-endemic in West Africa affecting wildlife, livestock and humans. Prediction is difficult due to the lack of accurate outbreak data. However, predicting the risk of infection is important for public health, wildlife conservation and livestock economies. In this study, the seasonality of anthrax outbreaks in West Africa was investigated using climate time series and ecological niche modeling to identify environmental factors related to anthrax occurrence, develop geospatial risk maps and identify seasonal patterns. Outbreak data in livestock, wildlife and humans between 2010 and 2018 were compiled from different sources and analyzed against monthly rates of change in precipitation, normalized difference vegetation index (NDVI) and land surface temperature. Maximum Entropy was used to predict and map the environmental suitability of anthrax occurrence. The findings showed that: (i) Anthrax outbreaks significantly (99%) increased with incremental changes in monthly precipitation and vegetation growth and decremental changes in monthly temperature during January-June. This explains the occurrence of the anthrax peak during the early wet season in West Africa. (ii) Livestock density, precipitation seasonality, NDVI and alkaline soils were the main predictors of anthrax suitability. (iii) Our approach optimized the use of limited and heterogeneous datasets and ecological niche modeling, demonstrating the value of integrated disease notification data and outbreak reports to generate risk maps. Our findings can inform public, animal and environmental health and enhance national and regional One Health disease control strategies.
Background: Plasmodium ovale is a neglected malarial parasite that can form latent hypnozoites in the human liver. Over the last decade, molecular surveillance studies of non-falciparum malaria in Africa have highlighted that P. ovale is circulating below the radar, including areas where Plasmodium falciparum is in decline. To eliminate malaria where P. ovale is endemic, a better understanding of its epidemiology, asymptomatic carriage, and transmission biology is needed. Methods: We performed a pilot study on P. ovale transmission as part of an ongoing study of human-to-mosquito transmission of P. falciparum from asymptomatic carriers. To characterize the malaria asymptomatic reservoir, cross-sectional qPCR surveys were conducted in Bagamoyo, Tanzania, over three transmission seasons. Positive individuals were enrolled in transmission studies of P. falciparum using direct skin feeding assays (DFAs) with Anopheles gambiae s.s. (IFAKARA strain) mosquitoes. For a subset of participants who screened positive for P. ovale on the day of DFA, we incubated blood-fed mosquitoes for 14 days to assess sporozoite development. Results: Molecular surveillance of asymptomatic individuals revealed a P. ovale prevalence of 11% (300/2718), compared to 29% (780/2718) for P. falciparum. Prevalence for P. ovale was highest at the beginning of the long rainy season (15.5%, 128/826) in contrast to P. falciparum, which peaked later in both the long and short rainy seasons. Considering that these early-season P. ovale infections were low-density mono-infections (127/128), we speculate many were due to hypnozoite-induced relapse. Six of eight P. ovale-infected asymptomatic individuals who underwent DFAs successfully transmitted P. ovale parasites to A. gambiae. Conclusions: Plasmodium ovale is circulating at 4-15% prevalence among asymptomatic individuals in coastal Tanzania, largely invisible to field diagnostics. A different seasonal peak from co-endemic P. falciparum, the capacity to relapse, and efficient transmission to Anopheles vectors likely contribute to its persistence amid control efforts focused on P. falciparum.
Aim We tested the hypothesis of a more aggressive disease process at diagnosis of type 1 diabetes during fall and winter, the colder seasons with consistently observed higher incidence of type 1 diabetes. Methods Seasonality in the manifestation of type 1 diabetes was examined in 4993 Finnish children and adolescents. Metabolic characteristics, beta-cell autoantibodies and HLA class II genetics were analysed at clinical diagnosis. Results Significant seasonality was observed with higher number of new cases during fall and winter (n = 1353/27.1% and n = 1286/25.8%) compared with spring and summer (n = 1135/22.7% and n = 219/24.4%) (p < 0.001). The youngest children (aged 0.5-4 years) differed from the older ones (aged 5-14 years) as a minority of them were diagnosed in winter (p = 0.019) while the older children followed the same pattern as that seen in the total series. Poorer metabolic decompensation was observed during seasons with lower number of new diagnoses. Conclusion The heterogeneity in the seasonality of diabetes manifestation between younger and older children suggests that different environmental factors may trigger the disease at different ages. Poorer clinical condition associated with seasons with a lower number of new cases may be more likely to be due to a delay in seeking medical help than to a more aggressive autoimmunity.
BackgroundRespiratory syncytial virus (RSV) is the predominant cause of clinical pneumonia among infants and young children, often peaking during the winter months in temperate regions.AimTo describe RSV seasonality in 13 European countries and examine its association with meteorological factors.MethodsWe included weekly RSV seasonality data from 13 European countries between week 40 2010 and week 39 2019. Using local weighted regression method, we modelled weekly RSV activity with meteorological factors using data from the 2010/11 to the 2017/18 season. We predicted the weekly RSV activity of the 2018/19 season across 41 European countries and validated our prediction using empirical data.ResultsAll countries had annual wintertime RSV seasons with a longitudinal gradient in RSV onset (Pearson’s correlation coefficient, r = 0.71, 95% CI: 0.60 to 0.80). The RSV season started 3.8 weeks later (95% CI: -0.5 to 8.0) in countries in the eastern vs western parts of Europe, and the duration ranged from 8-18 weeks across seasons and countries. Lower temperature and higher relative humidity were associated with higher RSV activity, with a 14-day lag time. Through external validation, the prediction error in RSV season onset was -2.4 ± 3.2 weeks. Similar longitudinal gradients in RSV onset were predicted by our model for the 2018/19 season (r = 0.45, 95% CI: 0.16 to 0.66).ConclusionMeteorological factors, such as temperature and relative humidity, could be used for early warning of RSV season onset. Our findings may inform healthcare services planning and optimisation of RSV immunisation strategies in Europe.
Studies have associated the human respiratory syncytial virus which causes seasonal childhood acute bronchitis and bronchiolitis (CABs) with climate change and air pollution. We investigated this association using the insurance claims data of 3,965,560 children aged ≤ 12 years from Taiwan from 2006−2016. The monthly average incident CABs increased with increasing PM2.5 levels and exhibited an inverse association with temperature. The incidence was 1.6-fold greater in January than in July (13.7/100 versus 8.81/100), declined during winter breaks (February) and summer breaks (June−August). The highest incidence was 698 cases/day at <20 °C with PM2.5 > 37.0 μg/m3, with an adjusted relative risk (aRR) of 1.01 (95% confidence interval [CI] = 0.97−1.04) compared to 568 cases/day at <20 °C with PM2.5 < 15.0 μg/m3 (reference). The incidence at ≥30 °C decreased to 536 cases/day (aRR = 0.95, 95% CI = 0.85−1.06) with PM2.5 > 37.0 μg/m3 and decreased further to 392 cases/day (aRR = 0.61, 95% CI = 0.58−0.65) when PM2.5 was <15.0 μg/m3. In conclusion, CABs infections in children were associated with lowered ambient temperatures and elevated PM2.5 concentrations, and the high PM2.5 levels coincided with low temperature levels. The role of temperature should be considered in the studies of association between PM2.5 and CABs.
Ongoing climate variability and change is impacting pollen exposure dynamics among sensitive populations. However, pollen data that can provide beneficial information to allergy experts and patients alike remains elusive. The lack of high spatial resolution pollen data has resulted in a growing interest in using phenology information that is derived using satellite observations to infer key pollen events including start of pollen season (SPS), timing of peak pollen season (PPS), and length of pollen season (LPS). However, it remains unclear if the agreement between satellite-based phenology information (e.g. start of season: SOS) and the in-situ pollen dynamics vary based on the type of satellite product itself or the processing methods used. To address this, we investigated the relationship between vegetation phenology indicator (SOS) derived from two separate sensor/satellite observations (MODIS, Landsat), and two different processing methods (double logistic regression (DLM) vs hybrid piecewise logistic regression (HPLM)) with in-situ pollen season dynamics (SPS, PPS, LPS) for three dominant allergenic tree pollen species (birch, oak, and poplar) that dominate the springtime allergy season in North America. Our results showed that irrespective of the data processing method (i.e. DLM vs HPLM), the MODIS-based SOS to be more closely aligned with the in-situ SPS, and PPS while upscaled Landsat based SOS had a better precision. The data products obtained using DLM processing methods tended to perform better than the HPLM based methods. We further showed that MODIS based phenology information along with temperature and latitude can be used to infer in-situ pollen dynamic for tree pollen during spring time. Our findings suggest that satellite-based phenology information may be useful in the development of early warning systems for allergic diseases.
Purpose Determination of the causes of flood-related deaths is the precondition for effective interventions aimed at the reduction of such deaths. There is a gap in the design and the development of a valid and reliable instrument for measuring underlying factors of death in the flood. Methods This study was carried out in two phases. In the first phase, item pool generation and questionnaire design were carried out through systematic review of literature and qualitative study. the initial questionnaire was divided into two parts of objective and subjective factors. In the second phase, the psychometric evaluation of the questionnaire included face, content, and construct validity in the subjective part. The reliability was also evaluated by calculating test-retest intraclass correlation coefficient and Cronbach’s alpha. Exploratory factor analysis (EFA) was used for the data collected from 369 individuals in the flood-affected communities experiencing flood deaths. Data analysis was performed in SPSS version 23. Results In the EFA, 33 items and seven dimensions were extracted that explained 57.82% of the variance of influential factors in flood death, including the cognition of the flood (four items), general knowledge (four items), public beliefs (four items), risk perception (nine items), attitude (five items), prevention (five items), and social norms (two items). The internal consistency of the instrument using Cronbach’s alpha coefficient was 0.92. Finally, in order to perform the stability test, the Pearson correlation coefficient was calculated for all questions. This was above .05 and acceptable. Conclusions According to the results, the factors affecting flood death questionnaire (FAFDQ) could be used to make decisions, identify groups at risk of flood-related deaths, and implement flood-related death-reduction interventions. Indeed, these measures have led to the development of a comprehensive and reliable questionnaire for measuring the factors affecting flood deaths.
This study highlights the profile of rural workers with schistosomiasis mansoni, an endemic disease acquired during their work activities in flooded areas in the Baixada Maranhense. In order to analyze the social security and labor legislation used to grant benefits and the causal link that establishes the relationship between the work situation and the onset of the disease, we performed a bibliographical research on the topic and a documentary research on the formal legal plan of social security. This study addresses the need to recognize this relationship in endemic regions in order to improve what is proposed by the List of Work-Related Diseases.
In the last decade, Europe has seen a rise in natural disasters. Due to climate change, an increase of such events is predicted for the future. While natural disasters have been a rare phenomenon in Europe so far, other regions of the world, such as Central and North America or Southeast Asia, have regularly been affected by Hurricanes and Tsunamis. The aim of the current study is to synthesize the literature on child development in immediate stress, prolonged reactions, trauma, and recovery after natural disasters with a special focus on trajectories of (mal-)adaptation. In a literature search using PubMed, Psychinfo and EBSCOhost, 15 studies reporting about 11 independent samples, including 11,519 participants aged 3-18 years, were identified. All studies identified resilience, recovery, and chronic trajectories. There was also evidence for delayed or relapsing trajectories. The proportions of participants within each trajectory varied across studies, but the more favorable trajectories such as resilient or recovering trajectory were the most prevalent. The results suggested a more dynamic development within the first 12 months post-disaster. Female gender, a higher trauma exposure, more life events, less social support, and negative coping emerged as risk factors. Based on the results, a stepped care approach seems useful for the treatment of victims of natural disasters. This may support victims in their recovery and strengthen their resilience. As mental health responses to disasters vary, a coordinated screening process is necessary, to plan interventions and to detect delayed or chronic trauma responses and initiate effective interventions.
Although most studies of digenetic trematodes of the family Schistosomatidae dwell on representatives causing human schistosomiasis, the majority of the 130 identified species of schistosomes infect birds or non-human mammals. The cercariae of many of these species can cause swimmer’s itch when they penetrate human skin. Recent years have witnessed a dramatic increase in our understanding of schistosome diversity, now encompassing 17 genera with eight more lineages awaiting description. Collectively, schistosomes exploit 16 families of caenogastropod or heterobranch gastropod intermediate hosts. Basal lineages today are found in marine gastropods and birds, but subsequent diversification has largely taken place in freshwater, with some reversions to marine habitats. It seems increasingly likely that schistosomes have on two separate occasions colonized mammals. Swimmer’s itch is a complex zoonotic disease manifested through several different routes of transmission involving a diversity of different host species. Swimmer’s itch also exemplifies the value of adopting the One Health perspective in understanding disease transmission and abundance because the schistosomes involved have complex life cycles that interface with numerous species and abiotic components of their aquatic environments. Given the progress made in revealing their diversity and biology, and the wealth of questions posed by itch-causing schistosomes, they provide excellent models for implementation of long-term interdisciplinary studies focused on issues pertinent to disease ecology, the One Health paradigm, and the impacts of climate change, biological invasions and other environmental perturbations.
The 2030 Sustainable Development Goals (SDGs) offer a blueprint for global peace and prosperity, while conserving natural ecosystems and resources for the planet. However, factors such as climate-induced weather extremes and other High-Impact Low-Probability (HILP) events on their own can devastate lives and livelihoods. When a pandemic affects us, as COVID-19 has, any concurrent hazards interacting with it highlight additional challenges to disaster and emergency management worldwide. Such amplified effects contribute to greater societal and environmental risks, with cross-cutting impacts and exposing inequities. Hence, understanding how a pandemic affects the management of concurrent hazards and HILP is vital in disaster risk reduction practice. This study reviews the contemporary literature and utilizes data from the Emergency Events Database (EM-DAT) to unpack how multiple extreme events have interacted with the coronavirus pandemic and affected the progress in achieving the SDGs. This study is especially urgent, given the multidimensional societal impacts of the COVID-19 pandemic amidst climate change. Results indicate that mainstreaming risk management into development planning can mitigate the adverse effects of disasters. Successes in addressing compound risks have helped us understand the value of new technologies, such as the use of drones and robots to limit human exposure. Enhancing data collection efforts to enable inclusive sentinel systems can improve surveillance and effective response to future risk challenges. Stay-at-home policies put in place during the pandemic for virus containment have highlighted the need to holistically consider the built environment and socio-economic exigencies when addressing the pandemic’s physical and mental health impacts, and could also aid in the context of increasing climate-induced extreme events. As we have seen, such policies, services, and technologies, along with good nutrition, can significantly help safeguard health and well-being in pandemic times, especially when simultaneously faced with ubiquitous climate-induced extreme events. In the final decade of SDG actions, these measures may help in efforts to “Leave No One Behind”, enhance human-environment relations, and propel society to embrace sustainable policies and lifestyles that facilitate building back better in a post-pandemic world. Concerted actions that directly target the compounding effects of different interacting hazards should be a critical priority of the Sendai Framework by 2030.
Along with the numerous benefits for human health, seafood may pose various health risks. These potential hazards may be of anthropogenic origin as well as natural. Pathogenic bacteria, viruses, organic and inorganic pollutants, microplastics, parasites, shellfish poisonings, ciguatera, tetrodotoxin, histamine, or seafood allergy may threat consumer health. Evaluating the possible sources of these hazards and conditions is necessary to provide healthy and safe seafood to the consumer. Increased awareness of consumers on sustainability, food safety, origin and availability will greatly affect consumption trends. Therefore, this review presents a future perspective for seafood consumption. Antibiotic resistance and the effect of climate change on fish consumption, the recent critical problems of the seafood industry, were also discussed. This review gives current information on the potential hazards of seafood and provides a perspective for future trends in fish consumption. The seafood processing sector should consider these potential risks and adapt to changing consumer preferences.
BACKGROUND AND OBJECTIVES: Despite advances in medicine, infection at the surgical site is an impregnation problem that most surgeons confront. Although studies on the seasonality of infection have been conducted in various areas, no study has confirmed the relationship between seasonal temperature and infection after breast reconstruction. METHODS: From 2008 to 2018, a retrospective study was conducted on patients who underwent implant-based breast reconstruction. Patient demographics, intraoperative data, postoperative data, and temperature information were collected. Temperature differences between cases with and without infection were examined. The differences in the incidence and risk of infection by season were estimated according to the hot season (July to August) and the nonhot season (September to June). RESULTS: Of the 460 cases enrolled, 42 cases developed an infection. Among them, 15 (35.71%) cases developed infection during the hot season (P = 0.003). According to the logistic regression model, the risk of infection was 2.639 times higher in the hot season than in the nonhot season (95% confidence interval, 1.282-5.434; P = 0.008). When the temperature was higher than 25°C, the risk of infection increased by 45.2% for every 1°C increase, which was statistically significant (odds ratio, 1.452; 95% confidence interval, 1.198-1.76; P < 0.001). CONCLUSION: In conclusion, the hot season or average temperatures higher than 25°C increase the risk of infection in patients undergoing implant-based breast reconstruction. It is essential to focus on skin hygiene during the healing of the incision site.
BACKGROUND: Seasonal variations in the ambient temperature may affect the exacerbation of cardiovascular diseases. Our primary objective was to evaluate the seasonality of the monthly proportion of cardiac surgeries associated with diabetes, smoking and/or elderly age at a tertiary-care university hospital in East-Central Europe with a temperate climate zone. As a secondary objective, we also assessed whether additional factors affecting small blood vessels (smoking, aging, obesity) modulate the seasonal variability of diabetes. METHODS: Medical records were analyzed for 9838 consecutive adult patients who underwent cardiac surgery in 2007-2018. Individual seasonal variations of diabetes, smoking, and elderly patients were analyzed monthly, along with the potential risk factors for cardiovascular complication. We also characterized whether pairwise coexistence of diabetes, smoking, and elderly age augments or blunts the seasonal variations. RESULTS: Seasonal variations in the monthly proportion of cardiac surgeries associated with diabetes, smoking and/or elderly age were observed. The proportion of cardiac surgeries of non-elderly and smoking patients with diabetes peaked in winter (amplitude of change as [peak-nadir]/nadir: 19.2%, p<0.02), which was associated with increases in systolic (6.1%, p<0.001) and diastolic blood pressures (4.4%, p<0.05) and serum triglyceride levels (27.1%, p<0.005). However, heart surgery in elderly patients without diabetes and smoking was most frequently required in summer (52.1%, p<0.001). Concomitant occurrence of diabetes and smoking had an additive effect on the requirement for cardiac surgery (107%, p<0.001), while the simultaneous presence of older age and diabetes or smoking eliminated seasonal variations. CONCLUSIONS: Scheduling regular cardiovascular control in accordance with periodicities in diabetes, elderly, and smoking patients more than once a year may improve patient health and social consequences. TRIAL REGISTRATION: NCT03967639.
We study how seasonal climate affects influenza-pneumonia (I-P) mortality using monthly health and climate data over the past 20 years, reduced to mean annual cycle and statistically correlated. Results show that I-P deaths are inversely related to temperature, humidity, and net solar radiation in the United States, South Africa, and Puerto Rico (r < -0.93) via transmission and immune system response. The I-P mortality is 3-10 times as high in winter as in summer, with sharp transitions in autumn and spring. Public health management can rely on seasonal climate-induced fluctuations of I-P mortality to promote healthy lifestyle choices and guide efforts to mitigate epidemic impacts.
While the role of CO(2) as a greenhouse gas in the context of global warming is widely acknowledged, additional data from multiple sources is demonstrating that rising CO(2) of and by itself will have a tremendous effect on plant biology. This effect is widely recognized for its role in stimulating photosynthesis and growth for multiple plant species, including crops. However, CO(2) is also likely to alter plant chemistry in ways that will denigrate plant nutrition. That role is also of tremendous importance, not only from a human health viewpoint, but also from a global food-web perspective. Here, the goal is to review the current evidence, propose potential mechanistic explanations, provide an overview of critical unknowns and to elucidate a series of next steps that can address what is, overall, a critical but unappreciated aspect of anthropogenic climate change.
Ambient temperatures are rising worldwide, with the greatest increases recorded at night. Concurrently, the prevalence of insufficient sleep is rising in many populations. Yet it remains unclear whether warmer-than average temperatures causally impact objective measures of sleep globally. Here, we link billions of repeated sleep measurements from sleep-tracking wristbands comprising over 7 million sleep records (n = 47,628) across 68 countries to local daily meteorological data. Controlling for individual, seasonal, and time varying confounds, increased temperature shortens sleep primarily through delayed onset, increasing the probability of insufficient sleep. The temperature effect on sleep loss is substantially larger for residents from lower-income countries and older adults, and females are affected more than males. Those in hotter regions experience comparably more sleep loss per degree of warming, suggesting limited adaptation. By 2099, suboptimal temperatures may erode 50-58 h of sleep per person-year, with climate change producing geographic inequalities that scale with future emissions.
According to WHO, by 2050, at least one person out of two will suffer from an allergy disorder resulting from the accelerating air pollution associated with toxic gas emissions and climate change. Airborne pollen, and associated allergies, are major public health topics during the pollination season, and their effects are further strengthened due to climate change. Therefore, assessing the airborne pollen allergy risk is essential for improving public health. This study presents a new computational fluid dynamics methodology for risk assessment of local airborne pollen transport in an urban environment. Specifically, we investigate the local airborne pollen transport from trees on a university campus in the north of France. We produce risk assessment maps for pollen allergy for five consecutive days during the pollination season. The proposed methodology could be extended to larger built-up areas for different weather conditions. The risk assessment maps may also be integrated with smart devices, thus leading to decision-aid tools to better guide and protect the public against airborne pollen allergy.
In the context of global warming, meteorological disasters occur more frequently in various regions which exert increasing influences on human life. Snow disasters are some of the natural disasters that most seriously affect the development of husbandry on the Qinghai-Tibetan Plateau (QTP), so it is necessary to explore their spatio-temporal variations and perform comprehensive risk assessment. Based on the daily snow depth data set in China, obtained by inversion of satellite remote sensing data, the spatio-temporal variation characteristics of snow disasters on the QTP from 1980 to 2019 were studied. The regional difference in the comprehensive risks of snow disasters for the husbandry on the QTP was evaluated from four perspectives, i.e., the risk of hazard factors, sensitivity of hazard-inducing environments, vulnerability of hazard-affected bodies, and disaster prevention and mitigation capacity. The farmer and pastoralist well-being (FPWB) index in five typical regions was constructed to discuss the possible influences of snow disasters on the FPWB since the 21st century. Results show that, in the last 40 years, the frequency, duration, average snow depth, and grade of snow disasters on the QTP all exhibited significant interannual and interdecadal variabilities, and they also displayed a declining long-term trend. The comprehensive risk of snow disasters for the husbandry on the QTP is low in the north while high in the south. The high-risk zone accounts for 1.54% of the total and is mainly located in Kashgar City in the north-western end of the QTP; the sub-high-risk and medium-risk zones are mainly found in the south of the plateau and are distributed in a tripole pattern, separately covering 15.96% and 16.32% of the total area of the plateau; the north of the plateau mainly belongs to low-risk and sub-low-risk zones, which separately account for 43.06% and 23.12% of the total area of the plateau. Since the beginning of the 21st century, the FPWB in five typical regions, namely, Kashgar (I), Shigatse (II), Nagqu (III), Qamdo (IV), and Yushu (V), has been increasing, while the risk of snow disasters has gradually decreased. Every 1% decrease in the risk of snow disasters corresponded to 0.186%, 0.768%, 0.378%, 0.109%, and 0.03% increases in the FPWB index in the five regions. Snow disasters affect FPWB mainly by directly or indirectly damaging material resources (livestock inventories and meat production) and social and financial resources.
BACKGROUND: Cold urticaria (ColdU), that is, the occurrence of wheals or angioedema in response to cold exposure, is classified into typical and atypical forms. The diagnosis of typical ColdU relies on whealing in response to local cold stimulation testing (CST). It can also manifest with cold-induced anaphylaxis (ColdA). We aimed to determine risk factors for ColdA in typical ColdU. METHODS: An international, cross-sectional study COLD-CE was carried out at 32 urticaria centers of reference and excellence (UCAREs). Detailed history was taken and CST with an ice cube and/or TempTest(®) performed. ColdA was defined as an acute cold-induced involvement of the skin and/or visible mucosal tissue and at least one of: cardiovascular manifestations, difficulty breathing, or gastrointestinal symptoms. RESULTS: Of 551 ColdU patients, 75% (n = 412) had a positive CST and ColdA occurred in 37% (n = 151) of the latter. Cold-induced generalized wheals, angioedema, acral swelling, oropharyngeal/laryngeal symptoms, and itch of earlobes were identified as signs/symptoms of severe disease. ColdA was most commonly provoked by complete cold water immersion and ColdA caused by cold air was more common in countries with a warmer climate. Ten percent (n = 40) of typical ColdU patients had a concomitant chronic spontaneous urticaria (CSU). They had a lower frequency of ColdA than those without CSU (4% vs. 39%, p = .003). We identified the following risk factors for cardiovascular manifestations: previous systemic reaction to a Hymenoptera sting, angioedema, oropharyngeal/laryngeal symptoms, and itchy earlobes. CONCLUSION: ColdA is common in typical ColdU. High-risk patients require education about their condition and how to use an adrenaline autoinjector.
Each year, emergency and disaster situations claim a heavy toll in human lives and economic loss. Civilian populations that are more aware and prepared for emergencies are more resilient. The aim of this study was to explore similarities and differences in risk perception of emergencies and disasters across different societies and its association with individual resilience. A cross sectional study that explored attitudinal factors, as expressed by diverse samples of target countries across Europe and beyond, took place during the months of January-February 2021. Diverse samples (N >= 500) of adults from 8 countries (Italy, Romania, Spain, France, Sweden, Norway, Israel, and Japan) were engaged in this study. This study used the Pictorial Representation of Illness and Self-Measure (iPRISM) tool to assess risk perception. The results suggest that for the overall sample (N = 4,013), pandemics were the risk of which participants showed the highest concern, followed by critical infrastructure fail, social disturbance, natural hazards, and extreme weather events. It was found that religiosity is associated with risk perception, with highly religious and non-religious reporting elevated risk perception (F = 5.735, df = 2, p = 0.003), however country-specific analysis revealed that this finding varies depending on local contexts. The analysis also revealed differences in risk perception depending on age and type of risk. The results of this study present that there are commonalities and differences between societies across Europe and beyond concerning societal resilience at large, including risk perception. The dependency of risk perception on local context suggests that a regional-based approach for disaster risk reduction may be called for to adapt and adjust to local socio-cultural characteristics of each population.
Extreme heat, particularly if combined with humidity, poses a severe risk to human health. To estimate future global risk of extreme heat with humidity on health, we calculate indicators of heat stress that have been commonly used: the Heat Index, the Wet-Bulb Globe Temperature and the Wet-Bulb Temperature, from the latest Climate Model Intercomparison Project (CMIP6) projections. We analyse how and where different levels of heat stress hazards will change, from severe to deadly, and how results are sensitive to the choice of the index used. We evaluate this risk at country-level and use population and GDP vertical bar PPP growth scenario to estimate the vulnerability of each nation. Consistent with previous studies, we find that South and East Asia, and the Middle-East, are highly exposed to heat stress hazards, and that this exposure increases by 20%-60% with global mean temperature change from 1.5 to 3 degrees C. However, we also find substantial increases in heat health risk for some vulnerable countries with less adaptive capacity, such as West Africa, and Central and South America. For these regions, about 20 to more than 50% of the population could be exposed to severe heat stress each year on average, independent of the index used. For global warming of 3 degrees, European countries and the USA will also be exposed several times per year to conditions with daily mean heat stress level equal to the maximum heat stress of the 2003 heat wave.
PURPOSE OF REVIEW: Climate change (CC) is currently responsible for global weather extremes. These weather extremes could contribute to changes in the pattern of health problems. The purpose of this review is to discuss the role of CC on remapping of hepatic diseases and the mechanisms of re-mapping. RECENT FINDINGS: CC was found to have a major influence on the distribution and severity of hepatic diseases, such as outbreaks of vector-borne, water or food-borne, parasitic diseases, re-emerging of disappeared diseases, or emerging of new forms of infectious agents. Migration of infected people from endemic areas due to the CC disasters results in rapid dissemination of infectious diseases that leads to outbreaks or endemicity of diseases in new areas. CC could cause increasing chemical emissions, or change in its biodegradability, or restriction in its dispersion, such as PM, PAHs, heavy metals, mycotoxins, and aquatic toxins. Increase in the concentrations of these chemicals may have significant impacts in changing the health map of hepatic toxicity and liver cancer. The current review confirms the role of CC in changing the pattern of several liver health problems and remapping of these problems in several regions of the world. This review could be of high importance to the health decision-makers as an early alarm and prediction of hepatic health problems with the projected CC.
The role of community-based conservation (CBC) and natural resource management (CBNRM) in protecting ecosystems and improving socioeconomic well-being has received considerable attention, but its contribution to climate adaptation is less understood. Using a mixed-method case study approach, the current study compares two sites (Khyber and Khudaabad) in northern Pakistan with comparable socioeconomic features but varying levels of effectiveness of CBC/CBNRM programmes. The CBC in Khyber has been proactive than that of Khudaabad. The data was collected through household surveys (n = 220, 110 at each site), key informant interviews (n = 8 office-bearers of community-based organizations, 4 at each site), and extensive document review. In comparison to Khudaabad, the findings revealed that the local communities in Khyber demonstrated improved resilience to climate change because of a proactive community-based governance system, improved practices, access to social services, disaster preparedness, and improved knowledge of climate change. The study concludes that CBC/CBNRM contributes to building climate resilience among vulnerable mountain communities by strengthening social and ecological systems. The study suggests that for building the climate resilience of vulnerable communities, instead of investing in stand-alone adaptation measures, the governments must focus on ecosystem-based adaptions or integrate the specific adaptation or mitigation actions into the existing CBC/CBNRM programmes.
Anthropogenic activities are responsible for greenhouse gas emissions, causing extreme events like soil erosion, droughts, floods, forest fires and tornadoes. Fossil fuel consumption produces CO2, and trapping heat is the major reason for a rapid increase in global temperature, and electricity generation is responsible for 25% of greenhouse gas emissions. Fossil fuel consumption, CO2 emissions and their adverse impact have become the focus of efforts to mitigate climate change vulnerability. This study explores empirical determinants of vulnerability to climate change such as ecosystem, food, health and infrastructure. The sustainable use of energy is necessary for development, and a source of response to climate change. The present study focuses on renewable energy consumption to determine climate vulnerability in G7 countries between 1995 and 2019. The panel ARDL approach showed that the renewable to non-renewable energy mix showed a quadratic effect on vulnerability, whereby a minimum threshold of renewable energy is required to witness a reduction in food, health and infrastructure vulnerability. Other results indicate that trade openness and development expenditures reduce health vulnerability. Development expenditures also decrease ecosystem vulnerability, while trade openness increases it. However, both of these variables increase infrastructure vulnerability. Avoiding severe food and water crises requires investment to tackle climate change, conserve energy and water resources, reform global trade and food markets, and adapting and adopting climate-resilient responses to change.
Urban green space (UGS) could contribute to sustainable urban development. Studying residents’ perception of UGS ecological benefits could provide the empirical basis to improve UGS management and quality of life. Based on the questionnaire surveys of 432 residents in Beijing, assisted by non-parametric statistical tests, this paper assessed the relationships between residents’ living environments and self-rated health status and their impacts on residents’ perceptions of UGS ecological benefits. We paid attention to residents’ perceptions of UGS’s notable thermal environmental benefits under the climate-change backdrop. The results showed that: (1) Residents were inclined to perceive direct UGS ecological benefits better than the indirect types; (2) Residents growing up in the city had better self-rated health status than those growing up in the suburb and the village; and residents growing up in the suburb had a better understanding of the cooling benefits of green walls; (3) Residents currently dwelling in the city had a better understanding of UGS benefits, including shading, cooling by green roofs, mitigating the heat island effect and enhancing urban biodiversity, than those dwelling in the village; and (4) Residents with “very good” self-rated health status had a significantly better understanding of UGS benefits regarding shading, providing varied colors and habitats, storing carbon, purifying air, and collecting rainwater.
In the last decade, our built environment has been exposed to a significant and wide range of crises, from primary (e.g., pandemic, climate change-induced hazards) to secondary crises, such as their associated physical and mental health impacts. However, previous literature has mainly focused on the impacts of a single type of crisis in the built environment and solutions for individual impacts. Hence, in the face of multiple crises and their impacts that we are facing now, understanding the possible solutions and their characteristics is crucial to achieve a more resilient built environment. This paper aims to gain a better understanding about how different crises impact the built environment and which solutions have been proven effective, particularly as a response to multiple crises. First, a systematic literature review is presented, identifying main crises impacts on the built environment and their solutions. Secondly, through a qualitative data analysis, the main interconnections be-tween the identified crises impacts and solutions were established. Findings highlight that the main solutions that provide resilience to multiple crises in the built environment, are (1) green and healthy infrastructures; (2) adaptable infrastructures; and (3) equitable and inclusive infrastructures. Finally, key characteristics for the design of resilient solutions for the built environment are discussed and an evaluation framework is proposed.
Purpose Climate variability, accompanied by rapid urbanization and rising population disproportionality, impacts urban poor settlements. This paper aims to analyse the climate resilience for the urban poor in Ahmedabad through the lens of WASH development strategies. To assess the adaptive capacities of urban poor communities, a framework in the form of a vulnerability matrix has been used consisting of four key parameters – tenure, basic services, mobilization and partnership and disaster management capacities. The matrix implicitly recommends area-specific interventions to boost adaptive capacities and improve resilience based on WASH services. Design/methodology/approach This paper was designed to assess the climate resilience of WASH services in the urban poor settlements of Ahmedabad city. In all, seven slums were selected using a stratified sampling approach considering topography, access to WASH services and urban heat island effect. These slums were then assessed using a theoretical framework having four key parameters – tenure, basic service, mobilization and partnership and disaster management capacities. The data for the analysis was collected from both secondary and primary sources. For the latter, semi-structured interviews with key stakeholders, observational field visits and focused group discussions with the communities were done. Findings A ladder form of assessment matrix was derived from a thorough literature review and various pre-existing theories. This matrix consists of four key parameters – tenure, basic service, mobilization and partnership and disaster management capacities. The slums were evaluated by applying this framework, and direct and indirect relationships were established between the said parameters. Research limitations/implications This paper was adapted in the light of various obstacles put forward by the Covid-19 pandemic. Some of the interviews with the bureaucrats and external researchers were conducted online, while the engagement with the slum dwellers was in-person, considering appropriate social and/or physical distancing norms. Implications of the Covid-19 second wave restricted the involvement of researchers with the communities at an ethnographic level. Originality/value The ladder form of vulnerability assessment framework has been developed and contextualized using the insights from literature review, field visits and multi-stakeholder consultations. It was helpful in identifying aspects that require suitable interventions for improving and imparting resilience among the urban poor settlements. The learnings from this paper are significant for planners and decision-makers in identifying and prioritizing context-specific future projects for a city.
BACKGROUND: Although floods may have important respiratory health impacts, few studies have examined this issue. This study aims to document the long-term impacts of the spring floods of 2019 in Quebec by (1) describing the population affected by the floods; (2) assessing the impacts on the respiratory system according to levels of exposure; and (3) determining the association between stressors and respiratory health. METHODS: A population health survey was carried out across the six most affected regions 8-10 months post-floods. Data were collected on self-reported otolaryngology (ENT) and respiratory symptoms, along with primary and secondary stressors. Three levels of exposure were examined: flooded, disrupted and unaffected. RESULTS: One in ten respondents declared being flooded and 31.4% being disrupted by the floods. Flooded and disrupted participants reported significantly more ENT symptoms (adjusted odds ratio (aOR): 3.18; 95% CI: 2.45-4.14; aOR: 1.76; 95% CI: 1.45-2.14) and respiratory symptoms (aOR: 3.41; 95% CI: 2.45-4.75; aOR: 1.45; 95% CI: 1.10-1.91) than the unaffected participants. All primary stressors and certain secondary stressors assessed were significantly associated with both ENT and respiratory symptoms, but no “dose-response” gradient could be observed. CONCLUSION: This study highlights the long-term adverse effects of flood exposure on respiratory health.
OBJECTIVE: To examine respiratory-related ED admissions and presentations at Bathurst Base Hospital during the 2019-2020 New South Wales bushfire crisis. METHODS: A retrospective clinical audit was undertaken. Publicly available data on air quality were also examined. RESULTS: Poorer air quality (measured by PM10 levels) was correlated with increased presentations to the ED (R = 0.228, P = 0.012). ED patients with respiratory diagnoses were more likely to be admitted for inpatient care in 2019-2020 (n = 234, 49.3%) compared with 2018-2019 (n = 165, 39.6%). CONCLUSION: The impact of bushfire smoke needs to be considered in the allocation of resources in this area in future, but further research is warranted to understand the full extent of impact at the local level.
Addressing the fallouts of a +1.5 degrees C world is one of the key challenges for urban management in African cities. This article reports a work dealing with climate adaptation in informal urban settlements, with focus on responses to heat stress among the urban poor. The study involved a survey of 405 residents in Keko Machungwa -an unplanned neighborhood in Dar es Salaam, Tanzania. We found that the most popular behavioral responses are taking a shower, wearing light clothing,. drinking cold drinks, and opening doors and windows. The rarest forms of responses are swimming and contributing to savings group. Heat-related health problems experienced by the residents were also identified. Enhancing human responses to heat stress will involve improvement in basic services and infrastructure, awareness, and education among the residents.
The development of effective disinfection treatment processes is crucial to help the water industry cope with the inevitable challenges resulting from the increase in human population and climate change. Climate change leads to heavy rainfall, flooding and hot weather events that are associated with waterborne diseases. Developing effective treatment technologies will improve our resilience to cope with these events and our capacity to safeguard public health. A submerged hybrid reactor was used to test the efficiency of membrane filtration, direct photolysis (using ultraviolet-C low-pressure mercury lamps, as well as ultraviolet-C and ultraviolet-A light-emitting diodes panels) and the combination of both treatment processes (membrane filtration and photolysis) to retain and inactivate water quality indicator bacteria. The developed photocatalytic membranes effectively retained the target microorganisms that were then successfully inactivated by photolysis and advanced oxidation processes. The new hybrid reactor could be a promising approach to treat drinking water, recreational water and wastewater produced by different industries in small-scale systems. Furthermore, the results obtained with membranes coated with titanium dioxide and copper combined with ultraviolet-A light sources show that the process may be a promising approach to guarantee water disinfection using natural sunlight.
Nitrogen oxides (NOx = NO + NO2) are key precursors of tropospheric ozone (O-3) together with volatile organic compounds (VOC) and carbon monoxide (CO). Since O-3 has positive radiative forcing and is harmful to human health, the reduction of anthropogenic emissions of NOx is thought to be beneficial from the perspectives of climate change and air pollution in principle. However, there have been discussions contending that the reduction of NOx emissions is not necessarily beneficial for the mitigation of climate change and improvement of air quality, since 1) it decreases the atmospheric mixing ratio of hydroxyl radicals (OH), which increases the atmospheric lifetime of methane (CH4), and 2) O-3 formation is VOC-limited in urban areas and the decrease of NOx emission would increases urban O-3 by facilitating the NO titration effect. In order to scrutinize such discussion, literature review have been made on the temporal variations of the increasing rate of tropospheric CH4 in the last 30 years, and on urban/rural O-3 issues related to the NOx-limited/VOC-limited regime. Based on the review, it may be concluded that the variation of emissions of CH4 itself paly a dominant role, and the variation of consumption rate by OH play a minor role for the recent variation of CH4. It has been suggested that NOx and NMVOC should be reduced simultaneously in order to avoid the adverse effect on climate change mitigation. From the review on policy-related discussion of NOx-limited and VOC-limited O-3 formation, the increase of O-3 by the decrease in NOx emissions has generally been seen in winter and nighttime when photochemical production is minimal, and the higher percentile or diurnal maximum mixing ratios of O-3 in summer tends to decrease with the decrease in NOx emissions. We suggested that the NOx-limited/VOC-limited approach is not appropriate as a long-term policy guideline for ozone control, since it is unreasonable that NOx reduction is not recommended when ambient NOx levels are high, while further NOx reduction is recommended only when the VOC/NOx ratio gets high after NOx control has been achieved based on other policy principle. Simultaneous reduction of NOx and NMVOC would be beneficial for reducing global, regional, and urban O-3 to alleviate climate change and human health impacts. The ultimate reduction of anthropogenic emissions of NOx can be envisioned toward a denitrified (de-NOx) society along with a decarbonized (de-CO2) society.
All around the world, inequalities persist in the complex web of social, economic, and ecological factors that mediate food security outcomes at different human and institutional scales. There have been rapid and continuous improvements in agricultural productivity and better food security in many regions of the world during the past 50 years due to an expansion in crop area, irrigation, and supportive policy and institutional initiatives. However, in Sub-Saharan Africa, the situation is inverted. Statistics show that food insecurity has risen since 2015 in Sub-Saharan African countries, and the situation has worsened owing to the Ukraine conflict and the ongoing implications of the COVID-19 threat. This review looks into multidimensional challenges to achieving the SDG2 goal of “End hunger, achieve food security and improved nutrition, and promote sustainable agriculture” in Sub-Saharan Africa and the prosper policy recommendations for action. Findings indicate that weak economic growth, gender inequality, high inflation, low crop productivity, low investment in irrigated agriculture and research, climate change, high population growth, poor policy frameworks, weak infrastructural development, and corruption are the major hurdles in the sustaining food security in Sub-Saharan Africa. Promoting investments in agricultural infrastructure and extension services together with implementing policies targeted at enhancing the households’ purchasing power, especially those in rural regions, appear to be essential drivers for improving both food availability and food access.
Floods kill numerous people every year in both developed and developing countries. The transfer of research findings from the academic community to practitioners, policy-makers and citizens may reduce the impact of floods on mortality. This systematic review analyzes 44 scientific articles extracted from WOS and SCOPUS databases written in English, published between 2010 and 2020, and focuses on flood fatalities. The first main finding of this review is the classification of drivers of flood mortality into two groups: the first group relates to the environment, and the second group relates to the fatalities. The second main finding is the identification of strategies to practically cope with the identified drivers of flood fatalities. The main shortcomings of the review concern (a) the unavailability of papers based on flood fatality occurrence in developing countries and (b) the absence of data focusing on people who have survived floods. This review amplifies useful findings, best practices and lessons learned that can be useful for administrators, risk managers, and teachers of primary and secondary schools to mitigate the impact of future floods on human life.
The study sought to review the works of literature on agent-based modeling and the influence of climatic and environmental factors on disease outbreak, transmission, and surveillance. Thus, drawing the influence of environmental variables such as vegetation index, households, mosquito habitats, breeding sites, and climatic variables including precipitation or rainfall, temperature, wind speed, and relative humidity on dengue disease modeling using the agent-based model in an African context and globally was the aim of the study. A search strategy was developed and used to search for relevant articles from four databases, namely, PubMed, Scopus, Research4Life, and Google Scholar. Inclusion criteria were developed, and 20 articles met the criteria and have been included in the review. From the reviewed works of literature, the study observed that climatic and environmental factors may influence the arbovirus disease outbreak, transmission, and surveillance. Thus, there is a call for further research on the area. To benefit from arbovirus modeling, it is crucial to consider the influence of climatic and environmental factors, especially in Africa, where there are limited studies exploring this phenomenon.
This review study examines the state of meteorological drought over Africa, focusing on historical trends, impacts, mitigation strategies, and future prospects. Relevant meteorological drought-related articles were systematically sourced from credible bibliographic databases covering African subregions in the twentieth and twenty-first centuries (i.e. from 1950 to 2021), using suitable keywords. Past studies show evidence of the occurrence of extreme drought events across the continent. The underlying mechanisms are mostly attributed to complex interactions of dynamical and thermodynamical mechanisms. The resultant impact is evidenced in the decline of agricultural activities and water resources and the environmental degradation across all subregions. Projected changes show recovery from drought events in the west/east African domain, while the south and north regions indicate a tendency for increasing drought characteristics. The apparent intricate link between the continent’s development and climate variability, including the reoccurrence of drought events, calls for paradigm shifts in policy direction. Key resources meant for the infrastructural and technological growth of the economy are being diverted to develop coping mechanisms to adapt to climate change effects, which are changing. Efficient service delivery to drought-prone hotspots, strengthening of drought monitoring, forecasting, early warning, and response systems, and improved research on the combined effects of anthropogenic activities and changes in climate systems are valuable to practitioners, researchers, and policymakers regarding drought management in Africa today and in the future.
BACKGROUND AND OBJECTIVE: Psoriasis is a chronic skin disease with 2-4% of prevalence worldwide conferring a major burden on health systems. It is assumed that the prevalence might increase due to climatic change and deterioration of protective ozone barrier. With the chances of increasing prevalence, newer and specific treatment options need to be explored. Skin is a constant target of oxidative stress owing to continuous exposure to ultraviolet radiations. Oxidative stress is considered to have a central role in dermatological diseases, including psoriasis. This study was designed to explore the role of Humanin analogue (S14-G HNG) as an important anti oxidant for psoriasis like condition in BALB/c mice as till date the commomly used drugs for this disease are corticosteroids which have a dissatisfactory adverse effect profile in terms of chronic use. METHODOLOGY: Imiquimod 5% was used to induce Psoriasis like condition in mice, and the role of HNG was assessed through the histological examination, protein expressions and markers of oxidative stress. Two doses (low and high) of HNG were used and results were compared with an established drug methylprednisolone. KEY RESULT: Significant improvement was seen on histology, PASI scoring, protein expression and oxidative stress by the use of intraperitoneal injections of S14-G HNG and the results were comparable to those obtained through peritoneal injections of methylprednisolone. CONCLUSION: S14G-HNG can be considered as a suitable option for treatment of Psoriasis after clinical trials and it might prove to have lesser side effects as compared to other drugs employed for the treatment of psoriasis being an innate anti oxidant and anti apoptotic compound.
BACKGROUND: Malaria remains one of the most devastating diseases globally, and the control of mosquitoes as the vector is mainly dependent on chemical insecticides. Elevated temperatures associated with future warmer climates could affect mosquitoes’ metabolic enzyme expression and increase insecticide resistance, making vector control difficult. Understanding how mosquito rearing temperatures influence their susceptibility to insecticide and expression of metabolic enzymes could aid in the development of novel tools and strategies to control mosquitoes in a future warmer climate. This study evaluated the effects of temperature on the susceptibility of Anopheles gambiae sensu lato (s.l.) mosquitoes to pyrethroids and their expression of metabolic enzymes. METHODS: Anopheles gambiae s.l. eggs obtained from laboratory-established colonies were reared under eight temperature regimes (25, 28, 30, 32, 34, 36, 38, and 40 °C). Upon adult emergence, 3- to 5-day-old female non-blood-fed mosquitoes were used for susceptibility tests following the World Health Organization (WHO) bioassay protocol. Batches of 20-25 mosquitoes from each temperature regime (25-34 °C) were exposed to two pyrethroid insecticides (0.75% permethrin and 0.05% deltamethrin). In addition, the levels of four metabolic enzymes (α-esterase, β-esterase, glutathione S-transferase [GST], and mixed-function oxidase [MFO]) were examined in mosquitoes that were not exposed and those that were exposed to pyrethroids. RESULTS: Mortality in An. gambiae s.l. mosquitoes exposed to deltamethrin and permethrin decreased at temperatures above 28 °C. In addition, mosquitoes reared at higher temperatures were more resistant and had more elevated enzyme levels than those raised at low temperatures. Overall, mosquitoes that survived after being exposed to pyrethroids had higher levels of metabolic enzymes than those that were not exposed to pyrethroids. CONCLUSIONS: This study provides evidence that elevated temperatures decreased An. gambiae s.l. mosquitoes’ susceptibility to pyrethroids and increased the expression of metabolic enzymes. This evidence suggests that elevated temperatures projected in a future warmer climate could increase mosquitoes’ resistance to insecticides and complicate malaria vector control measures. This study therefore provides vital information, and suggests useful areas of future research, on the effects of temperature variability on mosquitoes that could guide vector control measures in a future warmer climate.
INTRODUCTION: The Singapore Armed Forces (SAF) collaborated with the Meteorological Service Singapore (MSS) to study the relationship between weather parameters and the incidents of exertional heat injury (EHI) to mitigate the risk of EHI in a practical manner. METHODS: Data from the SAF’s heat injury registry and MSS’ meteorological data from 2012 to 2018 were used to establish a consolidated dataset of EHI incidents and same-day weather parameters rank-ordered in deciles. Poisson regression modelling was used to determine the incidence rate ratios (IRRs) of the EHI, referencing the first decile of weather parameters. Two frames of analysis were performed – the first described the relationship between the weather parameters and the adjusted IRR for the same day (D), and the second described the relationship between the weather parameters and the adjusted IRR on the following day (D + 1). RESULTS: For wet-bulb temperature, the IRR on D + 1 approximated unity for the first nine deciles but rose to 3.09 at the tenth decile. For dew-point temperature, the IRR on D + 1 approximated unity for the first nine deciles but rose to 3.48 at the tenth decile. By designating a single dew-point temperature cut-off at ≥25.1°C (transition between the ninth and tenth decile), the adjusted IRR on D + 1 was 2.26 on days with dew-point temperature ≥25.1°C. CONCLUSION: Integrating the data from the SAF and MSS demonstrated that a dew-point temperature ≥25.1°C on D correlates statistically with the risk of EHI on D + 1 and could be used to supplement the risk mitigation system.
Introduction: Heat stress is a physical hazard and a potential health risk which can result in various conditions ranging from discomfort, headaches, psychological disorders, heat stroke and even death in extreme cases. Factors which cause heat stress include high ambient temperature, limited air movement, strenuous physical work and direct exposure to the heat of the engine/sun. Continuous heat stress, exacerbated by dehydration, can lead to kidney disease. This study is a literature review conducted to explore factors that influence heat stress and the relationship of heat stress with acute kidney disease and chronic kidney disease. Methods: Literature search was conducted in September 2021. Research sources were taken from several databases, namely Science Direct, ProQuest, PubMed, and Google Scholar. From the databases, 23,316 articles were from Science Direct, 140,319 articles were from ProQuest, 670 articles were from PubMed, and 288,000 articles were from Google Scholars. Out of the total database only 24 articles met the inclusion criteria. The variables in this study were heat stress, acute kidney disease, and chronic kidney disease. Results: This literature review shows that several factors which can affect heat stress are heat exposure, workload, rehydration, and rest period arrangements. Heat stress experienced by workers can cause decreased kidney function and chronic kidney disease. Heat stress conditions that are continuously experienced by workers can cause chronic kidney disease. Conclusion: Heat stress can be experienced by workers due to heat exposure, heavy workload, poor rehydration, and poor rest period arrangements. Heat stress can cause acute kidney disease and chronic kidney disease.
Inland recreational swimming sites provide significant social value globally. This study focused on public recreational swimming sites across the Murrumbidgee River and its tributaries in the Australian Capital Territory (ACT) throughout the swimming season (September-April) from 2009 to 2020 to determine whether high intestinal enterococci concentrations could be predicted with flow exceedance and routinely monitored physical and chemical parameters of water quality. Enterococci concentrations were positively correlated with the turbidity associated with high-flow conditions. The predictive accuracy of high enterococci levels during high-flow conditions was good (mean percentage correctly classified, 60%). The prediction of high enterococci levels at low flows was significantly less reliable (mean percentage correctly classified, 12-15%). As the ACT is expected to experience decreases in rainfall overall but increases in extreme rainfall events due to climate change, understanding the drivers of elevated intestinal enterococci under extreme flow conditions remains important from a public health perspective.
BACKGROUND: Under a warming climate, adverse health effects of heat are an increasing concern. We evaluated associations between short-term ambient temperature exposure and hospital admission for kidney disease in Vietnam. METHODS: We linked province-level meteorologic data with admission data from 14 province-level hospitals (2003-2015). We used a case-crossover design to evaluate associations between daily ambient temperature metrics (mean, maximum, and minimum temperature and mean heat index) and risk of hospitalization for four kidney disease subtypes: glomerular diseases, renal tubulo-interstitial diseases, chronic kidney disease, and urolithiasis, including lagged (≤lag 14 days) and cumulative (≤lag 0-6 days) associations, during the warm season. We also evaluated independent associations with extreme heat days (defined as days with daily maximum temperature >95(th) percentile of the provincial daily maximum temperature distribution). Akaike’s information criterion and patterns of risk estimates across cumulative exposure time windows and single-day lags informed our selection of final models. RESULTS: We included 58,330 hospital admissions during the warm season. Daily mean temperature averaged over the same day and the previous six days (lag 0-6 days) was associated with risk of hospitalization for each kidney disease outcome with odds ratios (per 1 °C increase in daily mean temperature) of 1.07 (95% confidence interval [CI]: 0.99, 1.16) for glomerular diseases, 1.06 (95% CI: 0.96, 1.17) for renal tubulo-interstitial diseases, 1.12 (95% CI: 1.00, 1.24) for chronic kidney disease, and 1.09 (95% CI: 1.02, 1.16) for urolithiasis. We found no additional independent associations with extreme heat. Results for the four temperature metrics were similar. CONCLUSIONS: High ambient temperature was associated with increased risk of hospitalization for each kidney disease subtype, with the most convincing associations for chronic kidney disease and urolithiasis. Further laboratory and epidemiologic research is needed to confirm the findings and disentangle the underlying mechanisms.
The spread of malaria is related to climate change because temperature and rainfall are key parameters of climate change. Fluctuations in temperature affect the spread of malaria by lowering or speeding up its rate of transmission. The amount of rainfall also affects the transmission of malaria by offering a lot of sites suitable for mosquitoes to breed in. However, a high amount of rainfall does not have a great effect. Because of the high malaria incidence and the death rates in African regions, by using malaria incidence data, temperature data and rainfall data collected in 1901-2015, we construct and analyze climate networks to show how climate relates to the transmission of malaria in African countries. Malaria networks show a positive correlation with temperature and rainfall networks, except for the 1981-2015 period, in which the malaria network shows a negative correlation with rainfall.
Reproductive health problems are attracting the attention of biomedical scientists in connection with changes in the environment. Climate change in the direction of rising temperatures is an urgent threat to human health with negative long-term effects. Under conditions of global warming, the number of negative consequences of pregnancy is increasing, namely idiopathic premature termination of pregnancy with the birth of premature newborns. The priority to reduce the negative health effects of climate change is to identify most sensitive risk groups to the negative impacts of climate change on health, which include pregnant women and newborns. The strategy to prevent and reduce changes in reproductive health is based on the recognition of global warming as a risk factor that contributes to the growth of premature birth and the associated adverse effects of pregnancy.
Reproductive seasonality is a phenomenon common to human and animal populations and driven by, among others, climatic variables. Given the currently changing climate and its impacts on both the environment and human lives, the question arises of its potential effects on reproductive seasonality. Few studies have specifically explored the seasonality of reproduction among hunter-gatherers and anyone investigated how current climate change might affect this phenomenon. In this study we addressed reproductive seasonality in the Baka Pygmy living in African rain forests. Since reproductive seasonality can be linked to weather patterns, we explore this possibility. However, climatic variables driving weather patterns have changed over the years, so we assessed whether this has influenced the Baka reproductive pattern. Based on 34 years of written birth records and oral questionnaires from 13 years of systematic fieldwork, we observed a bimodal birth pattern with two birth peaks at 6-month intervals. Our results demonstrate that precipitation at conception or at birth potentially has effects, respectively negative and positive on the monthly number of births; and temperature has a role in controlling other variables that do affect the reproductive pattern. Changing weather patterns appear to be affecting the reproductive seasonality in the Baka, suggesting that attention needs to be given to the influence of global climate change on forager societies.
There is a growing need to (1) better understand spaces in which human-animal interactions occur in ways that increase the risk of emerging infectious disease (EID), and (2) identify the opportunities for mitigating EID risk available to urban planning. Peri-urban areas-which are typically under-governed, undergoing significant environmental change and highly susceptible to zoonotic disease transfer-are especially important in this regard. In this research note, we briefly explore how climate change is contributing to both peri-urbanization and EID risk. First, climate change is linked to the displacement of people and other species into peri-urban areas, thereby increasing opportunities for zoonotic disease transfer. Second, whether coastal or inland, peri-urban space, characterized by low resources and inadequate services, is also typically vulnerable to mounting climate impacts including severe weather events, sea level rise, flooding, erosion, drought, salinization and heat waves that create socio-ecological conditions amenable to EID outbreaks. These relationships are particularly alarming given that peri-urban environments abut urban areas creating numerous pathways for the movement of EIDs into larger populations. In this research note, we briefly explore these relationships and illustrate them with a causal loop diagram of climate change-peri-urban displacement-EID interactions based on field work in Malawi. We conclude by emphasizing the need for improved EID risk management and suggest that bringing together the environmental expertise of the conservation community with that of planners through a more convivial urbanism that draws on the concept of working landscape conservation might be a beneficial approach.
With the increasing requirements of healthy habitat environments, landscape microclimates have been widely concerned. To comprehensively grasp the development history and research status of the landscape microclimates in China and other countries, CiteSpace software was used to comparatively analyze and visually present the literature related to landscape microclimates in CNKI and WOS databases for the past 20 years. The results show that: (1) The number of publications on landscape microclimate research shows an increasing trend in China and other countries, and the number of publications increased significantly after 2016. Although the number of publications by Chinese scholars is less than that of foreign scholars, they have developed rapidly in recent years, and their international influence has increased significantly. (2) A positive exchange has been formed among international scholars, and the number of collaborative studies has been increasing. China’s microclimate research has formed relatively stable teams that have conducted numerous studies in the fields of urban communities, street greening, and plant communities, respectively. Although the links between research teams and institutions in China and other countries are relatively close, they still need to be further strengthened. (3) In the past decade, the theoretical system of landscape microclimates has been improved, and the research themes have become more concentrated, but it still has remained close to the early basic research. (4) Future research will remain centered on “mitigating the urban heat island effect” and “optimizing human heat perception”. New topics such as “biodiversity”, “carbon cycle”, and “climate change” have been added. In conclusion, the research needs to continue to explore the evaluation system of microclimates and verify the evaluation index of outdoor thermal comfort for human thermal adaptation in different regions. The standards and systems of human habitat adapted to different regional characteristics should be formed.
Climate change is one of the biggest threats to human living and health in the 21st century. Whilst a large number of papers have been published addressing the health impact of climate change, there is a lack of comprehensive bibliometric analysis in the crosscutting field. This study evaluated the global scientific output of research in the field of climate change and health between 1990 and 2020, based on the Web of Science Core Collection database. Research themes were identified using a social network analysis technique based on author keywords. Research trends were assessed by the change in overall publication number and the percentage of publications in each research theme. Articles were further categorized by the availability of funding and author affiliation to compare the difference between developed and developing countries. Results showed that the research output in the field of climate change and health has increased dramatically in the past 30 years, mainly dominated by researchers in developed countries. The percentage of research receiving funding was found to be the lowest in those published by developing countries only and the highest in those published by the collaboration of developed and developing countries. A total of nine major research themes was identified. Research related to ‘risk assessment and adaptation’, ‘sustainable development’ and ‘infectious diseases’ were relatively underfunded. A significant research trend was observed between 2006 and 2020, with increased attention on research themes related to ‘risk assessment and adaptation’, ‘sustainable development’, ‘extreme events’ and ‘air pollution’, and reduced attention on research themes related to ‘ocean’, ‘infectious disease’ and ‘phenology’. The shift of the research trend was mainly driven by research in developed countries. Suggestions, recommendations and future priorities identified by experts in the field of atmospheric sciences, epidemiology, public health, climate change, environmental sciences, and policy development are also provided to guide future research. It is important to shift our focus from single health aspects to an integrated system (such as One Health framework, which considers environmental health, animal health and human health as a whole), with future research focusing more on the systemic impact of climate change in order to achieve better, more effective and efficient risk governance. More funding should be mobilized to support the research capacity building in developing countries and to support climate change adaptation strategies for sustainable development.
Overall, European air quality has worsened in recent decades as a consequence of increased anthropogenic emissions, in particular from the power generation sector. The evidence of the effects of atmospheric pollution (and particularly fine particulate matter, PM2.5) on human health is now unquestionable; it is mainly associated with cardiovascular and respiratory diseases, along with morbidity and even mortality. These effects may even strengthen in the future as a consequence of climate penalties and future changes in the projected population. For all these reasons, the main objective of this contribution is the estimation of the annual excess premature deaths (PD) associated with PM2.5 in the present (1991-2010) and future (2031-2050) European population using non-linear exposure-response functions. The endpoints included are lung cancer (LC), chronic obstructive pulmonary disease (COPD), low respiratory infections (LRI), ischaemic heart disease (IHD), cerebrovascular disease (CEV) and other non-communicable diseases (other NCD). PM2.5 concentrations come from coupled chemistry-climate regional simulations under present and future (RCP8.5) scenarios. The cases assessed include the estimation of the present incidence of PD (PRE-P2010), the quantification of the role of a changing climate in PD (FUT-P2010) and the importance of changes in the population projected for the year 2050 in the incidence of excess PD (FUT-P2050). Two additional cases (REN80-P2010 and REN80-P2050) evaluate the impact on premature mortality rates of a mitigation scenario in which 80 % of European energy production comes from renewable sources. The results indicate that PM2.5 accounts for nearly 895 000 (95 % confidence interval (95 % CI) 725 000-1 056 000) annual excess PD over Europe, with IHD being the largest contributor to premature mortality associated with fine particles in both present and future scenarios. The case that isolates the effects of a climate penalty (FUT-P2010) estimates a variation of +0.2 % in mortality rates over the whole domain. However, under this scenario, the incidence of PD over central Europe will benefit from a decrease in PM2.5 (-2.2 PD/100 000 inhabitants), while in eastern (+1.3 PD/100 000 inhabitants) and western (+0.4 PD/100 000 inhabitants) Europe, PD will increase due to increased PM2.5 levels. The changes in the projected population (FUT-P2050) will lead to a large increase in annual excess PD (1 540 000, 95 % CI 1 247 000-1 818 000; +71.96 % with respect to PRE-P2010 and +71.67 % with respect to FUT-P2010) due to the ageing of the European population. Last, the mitigation scenario (REN80-P2050) demonstrates that the effects of a mitigation policy of increasing the ratio of renewable sources in the energy mix could lead to a decrease of over 60 000 (95 % CI 48 500-70 900) annual PD for the year 2050 (a decrease of -4 % in comparison with the no-mitigation scenario FUT-P2050). In spite of the uncertainties inherent in future estimations, this contribution reveals the need of governments and public entities to take action and choose air pollution mitigation policies.
In this paper, we analyse the relation between the use of environmental data in contemporary health sciences and related conceptualisations and operationalisations of the notion of environment. We consider three case studies that exemplify a different selection of environmental data and mode of data integration in data-intensive epidemiology. We argue that the diversification of data sources, their increase in scale and scope, and the application of novel analytic tools have brought about three significant conceptual shifts. First, we discuss the EXPOsOMICS project, an attempt to integrate genomic and environmental data which suggests a reframing of the boundaries between external and internal environments. Second, we explore the MEDMI platform, whose efforts to combine health, environmental and climate data instantiate a reframing and expansion of environmental exposure. Third, we illustrate how extracting epidemiological insights from extensive social data collected by the CIDACS institute yields innovative attributions of causal power to environmental factors. Identifying these shifts highlights the benefits and opportunities of new environmental data, as well as the challenges that such tools bring to understanding and fostering health. It also emphasises the constraints that data selection and accessibility pose to scientific imagination, including how researchers frame key concepts in health-related research.
An increase in heat-related mortality risk has emerged to accompany the ravages of climate change, but its unambiguous assessment remains an onerous task, owing to the non-linear associations between the severity of hot temperatures and human body response. The present study assesses the future heat-related mortality risk under different levels of warming (1.5 degrees C vs. 2 degrees C) using the multi-models’ large ensemble simulations. In order to augment the robustness of the patterns for future changes in heat-related mortality risk, multiple indices representing the excess mortality risk solely attributed to higher temperature are estimated from different meteorological variables (maximum temperature, maximum wet-bulb temperature and mean temperature). The ensemble projections reveal a worldwide surge in heat-related mortality risk, albeit with a regionally diverse pattern. Although comparisons of the different indices show some quantitative differences, they provide remarkably consistent regional hotspots, thus amplifying the possible benefit of a mitigation equivalent to 0.5 degrees C less warming in the equatorial region. In addition to the severity of hot temperatures, the demographic changes evolving along the different shared socio-economic pathways also determine the exposure to heat-related mortality risk. Based on multiple indices and large ensemble simulations, this study contributes to the identification of regional hotspots in terms of the exposure of (the elderly) population to heat-related mortality risk, underscoring the necessity of regionally-tailored adaptation strategies.
Background: Weather is a well-known factor worldwide in psychiatric problems such as depression, with the elderly and females being particularly susceptible. The aim of this study was to detect associations between the risk of depressive symptoms (DS) and weather variables. Methods: 6937 participants were assessed in the baseline survey of the Health Alcohol Psychosocial Factors in Eastern Europe (HAPIEE) study during 2006−2008. To assess the risk of DS, a multivariate logistic model was created with predictors such as socio-demographic factors, health behaviors, and weather variables. Results: DS were found in 23.4% of the respondents, in 15.6% of males and in 29.9% in females. A higher risk of DS (by 25%) was associated with November−December, a rising wind speed, and relative humidity (RH) < 94% and snowfall during the cold period occurring 2 days before the survey. A higher air temperature (>14.2 °C) predominant during May−September had a protective impact. A higher risk of DS in males was associated with lower atmospheric pressure (<1009 hPa) 2 days before. Females were more sensitive to the monthly variation, snowfall, and RH. Conclusions: The findings of our study suggest that some levels of weather variables have a statistically significant effect on DS.
BACKGROUND: Due to anthropogenic activities and global warming, the severity and distribution of harmful algal blooms (HABs) have been increasing steadily worldwide, including in South Korea (S. Korea). Previous studies reported that exposure to HABs could increase the risk of HAB-related diseases. However, very few studies examined the linkage between HABs and disease occurrence, particularly in S. Korea. The objective of this study was to evaluate the potential impact of HABs on neurodegenerative diseases (NDs), including Alzheimer’s disease, Parkinson’s disease, and motor neuron disease, at a population level. METHODS: Thirteen-year data (2005-2017) for chlorophyll-a (chl-a) concentrations as a bloom-related parameter, annual numbers of NDs, and population information were collected. First, the entire area of S. Korea was divided into a grid of 1 km, and the population number in each 1-km grid was collected using the Statistical Geographic Information Service Plus system. Cross-sectional time series data were analyzed with two statistical models, a generalized linear mixed model and a generalized linear model. RESULTS: The results show a general trend of increasing chl-a concentration and NDs year by year. We observed positive correlations between HAB intensity and the incidence rate of NDs. Particularly, HABs seem to have the most long-term carry-over effect on Parkinson’s disease. Another key finding was that a 5-km radius from the HAB location was the boundary that showed the most significant associations with three NDs. CONCLUSIONS: This study provides statistical evidence that supports the potential risk of NDs from the exposure to HAB. Thus, it is recommended to monitor a broad spectrum of cyanotoxins, including neurotoxins, in bloom-affected regions in S. Korea and epidemiological studies in the future.
Hot and cold seasonal temperature fluctuations pose a serious public health threat. Radiative thermal management has been shown to be an effective method for personal thermal management. However, the currently available materials cannot maintain human thermal comfort against the hot and cold seasonal temperature fluctuations, such as heating in cold weather or cooling in hot weather. Here, a Janus film that integrates the two opposite requirements of heating and cooling into one functional dual-mode film is fabricated. In cooling mode, the Al backing and embedded silicon dioxide (SiO2) microparticle can achieve a high solar reflectivity (similar to 0.85) and high IR emissivity (similar to 0.95) to induce a temperature drop of similar to 2 degrees C. In contrast, the embedded carbon nanotubes (CNTs) can improve solar absorption (similar to 0.95) and induce a temperature increase of similar to 7 degrees C. Owing to its radiative cooling and solar heating capability and compatibility with large-scale production, this Janus film is promising to bring new insights into the design of the next-generation functional textiles.
A wearable textile that is engineered to reflect incoming sunlight and allow the transmission of mid-infrared radiation simultaneously would have a great impact on the human body’s thermal regulation in an outdoor environment. However, developing such a textile is a tough challenge. Using nanoparticle-doped polymer (zinc oxide and polyethylene) materials and electrospinning technology, we have developed a nanofabric with the desired optical properties and good applicability. The nanofabric offers a cool fibrous structure with outstanding solar reflectivity (91%) and mid-infrared transmissivity (81%). In an outdoor field test under exposure of direct sunlight, the nanofabric was demonstrated to reduce the simulated skin temperature by 9 °C when compared to skin covered by a cotton textile. A heat-transfer model is also established to numerically assess the cooling performance of the nanofabric as a function of various climate factors, including solar intensity, ambient air temperature, atmospheric emission, wind speed, and parasitic heat loss rate. The results indicate that the nanofabric can completely release the human body from unwanted heat stress in most conditions, providing an additional cooling effect as well as demonstrating worldwide feasibility. Even in some extreme conditions, the nanofabric can also reduce the human body’s cooling demand compared with traditional cotton textile, proving this material as a feasible solution for better thermoregulation of the human body. The facile fabrication of such textiles paves the way for the mass adoption of energy-free personal cooling technology in daily life, which meets the growing demand for healthcare, climate change, and sustainability.
BACKGROUND: Leptospirosis is an important public health problem affecting vulnerable urban slum populations in developing country settings. However, the complex interaction of meteorological factors driving the temporal trends of leptospirosis remain incompletely understood. METHODS AND FINDINGS: From March 1996-March 2010, we investigated the association between the weekly incidence of leptospirosis and meteorological anomalies in the city of Salvador, Brazil by using a dynamic generalized linear model that accounted for time lags, overall trend, and seasonal variation. Our model showed an increase of leptospirosis cases associated with higher than expected rainfall, lower than expected temperature and higher than expected humidity. There was a lag of one-to-two weeks between weekly values for significant meteorological variables and leptospirosis incidence. Independent of the season, a weekly cumulative rainfall anomaly of 20 mm increased the risk of leptospirosis by 12% compared to a week following the expected seasonal pattern. Finally, over the 14-year study period, the annual incidence of leptospirosis decreased significantly by a factor of 2.7 (8.3 versus 3.0 per 100,000 people), independently of variations in climate. CONCLUSIONS: Strategies to control leptospirosis should focus on avoiding contact with contaminated sources of Leptospira as well as on increasing awareness in the population and health professionals within the short time window after low-level or extreme high-level rainfall events. Increased leptospirosis incidence was restricted to one-to-two weeks after those events suggesting that infectious Leptospira survival may be limited to short time intervals.
I study the effect of rainfall shocks on child mortality at a sub-national level for a global set of developing countries. I establish that negative (positive) shocks to rainfall lead to an increase (drop) in child deaths overall. Low-income countries (LICs) and the group of countries reliant on agriculture are affected the most due to negative rainfall shocks. In LICs, the impact of negative rainfall shocks is mitigated by around 60% in districts located downstream to dams, an effect predominant among less affluent districts; in addition, the effect of rainfall fluctuations is persistent, lasting for up to three years following the shock. Results remain robust to the inclusion of relevant controls, to the consideration of relevant issues such as selective fertility and migration, and various other robustness tests.
Jellyfish are ubiquitous animals registering a high and increasing number of contacts with humans in coastal areas. These encounters result in a multitude of symptoms, ranging from mild erythema to death. This work aims to review the state-of-the-art regarding pathophysiology, diagnosis, treatment, and relevant clinical and forensic aspects of jellyfish stings. There are three major classes of jellyfish, causing various clinical scenarios. Most envenomations result in an erythematous lesion with morphological characteristics that may help identify the class of jellyfish responsible. In rare cases, the sting may result in delayed, persistent, or systemic symptoms. Lethal encounters have been described, but most of those cases happened in the Indo-Pacific region, where cubozoans, the deadliest jellyfish class, can be found. The diagnosis is mostly clinical but can be aided by dermoscopy, skin scrapings/sticky tape, confocal reflectance microscopy, immunological essays, among others. Treatment is currently based on preventing further envenomation, inactivating the venom, and alleviating local and systemic symptoms. However, the strategy used to achieve these effects remains under debate. Only one antivenom is currently used and covers merely one species (Chironex fleckeri). Other antivenoms have been produced experimentally but were not tested on human envenomation settings. The increased number of cases, especially due to climate changes, justifies further research in the study of clinical aspects of jellyfish envenoming.
Nitrogen (N) is a critical component of food security, economy and planetary health. Human production of reactive nitrogen (Nr) via Haber-Bosch process and cultivation-induced biological N(2) fixation (BNF) has doubled global N cycling over the last century. The most important beneficial effect of Nr is augmenting global food supplies due to increased crop yields. However, increased circulation of Nr in the environment is responsible for serious human health effects such as methemoglobinemia (“blue baby syndrome”) and eutrophication of coastal and inland waters. Furthermore, ammonia (NH(3)) emission mainly from farming and animal husbandary impacts not only human health causing chronic lung disease, inflammation of human airways and irritation of eyes, sinuses and skin but is also involved in the formation of secondary particulate matter (PM) that plays a critical role in environment and human health. Nr also affects human health via global warming, depletion of stratospheric ozone layer resulting in greater intensity of ultra violet B rays (UVB) on the Earth’s surface, and creation of ground-level ozone (through reaction of NO(2) with O(2)). The consequential indirect human health effects of Nr include the spread of vector-borne pathogens, increased incidence of skin cancer, development of cataracts, and serious respiratory diseases, besides land degradation. Evidently, the strategies to reduce Nr and mitigate adverse environmental and human health impacts include plugging pathways of nitrogen transport and loss through runoff, leaching and emissions of NH(3), nitrogen oxides (NO (x) ), and other N compounds; improving fertilizer N use efficiency; reducing regional disparity in access to N fertilizers; enhancing BNF to decrease dependence on chemical fertilizers; replacing animal-based proteins with plant-based proteins; adopting improved methods of livestock raising and manure management; reducing air pollution and secondary PM formation; and subjecting industrial and vehicular NO (x) emission to pollution control laws. Strategic implementation of all these presents a major challenge across the fields of agriculture, ecology and public health. Recent observations on the reduction of air pollution in the COVID-19 lockdown period in several world regions provide an insight into the achievability of long-term air quality improvement. In this review, we focus on complex relationships between Nr and human health, highlighting a wide range of beneficial and detrimental effects.
With global attention, air pollution is believed to have adverse impacts on human health. The provision of air quality performance, therefore, becomes an important problem for people’s well-being. Governments and people are increasingly concerned about air pollution since it impacts human health and sustainable development globally. As nations more industrialized, the pollution level in our environment rises, posing a serious threat to all living beings. Pollution levels rise quickly due to causes such as industry, urbanization, rising population, and automobile usage, all of which harm human health. With all those different pollutants available in the air, dangerous pollutant is Particulate matter PM2.5, which has a diameter of 2.5 micrometers or less and is easily inhaled, can travel deep into our lungs and bloodstream, causing serious health problems. This pollutant is emitted from a variety of sources, the most common of which being industry and automobiles. Air pollution is the most severe environmental issue which causes different diseases to the humans and contributes to global warming. To avoid such a negative imbalance in nature, a pollution monitoring system is critical. This model used to monitor the pollutant PM2.5 in the air which can be easily inhaled by the humans and it can travel deep into our lungs and bloodstream, causing serious health problems. The suggested design comprises a module such as dust sensor, as hardware using Arduino platform and software architecture for remotely monitoring pollution data through a single web-based graphical application which can be used in industrial areas and traffic places to monitor air quality level. Also air pollutant information must be displayed in public places, as every people can get awareness by knowing the pollutants level around them.
This study aimed to investigate the association between the heat-related illness (HRI) and the risk of developing psychiatric disorders. From 2000 to 2015, there were 3126 patients with newly diagnosed HRI selected from the National Health Insurance Research Database, along with 31,260 controls matched for gender and age. Fine and Gray’s analysis was used to compare the risk of psychiatric disorders during the 16 years of follow-up. Among the subjects, 523 of the HRI patients and 3619 of the control group (1774.18 vs. 1193.78 per 100,000 person-years) developed psychiatric disorders. Compared with non-HRI patients, the HRI ones had a 3.849-fold risk of being attacked by psychiatric disorders (95% CI: 3.632−4.369, p < 0.001) after adjusting for potential confounders. The sensitivity analysis revealed that the relationship between the HRI and the listed psychiatric disorders was determined by the exclusion of the first-year psychiatric events after the HRI. In spite of deleting the psychiatric diagnoses of the first five years, the HRI was still correlated with the development of psychiatric disorders with the exception of schizophreniform disorders, posttraumatic stress disorders, and acute stress disorder. Therefore, our findings concluded that the HRI could be a potential influence on the increased hazard of psychiatric disorders.
Urban overheating aggravated by climate change and rapid urbanization poses a severe threat to thermal health of urban residents. To more realistically represent street-level heat stress, we propose a new urban climate -human coupling system by integrating an advanced urban canopy model (UCM) with a new human -environment adaptive thermal stress (HEATS) module. The coupled UCM-HEATS system features a state-of-the-art solution to complicated human-street radiative exchanges and incorporates dynamic human thermo-regulatory responses to microclimatic changes. The UCM-HEATS system was evaluated in a typical hot and humid city, Hong Kong, and then applied to investigate street-level thermal stress in various urban settings and under different personal conditions. By explicitly resolving shading effects of buildings and trees on human radiation budgets, our study emphasizes the marked effectiveness of active shade management using green and gray infrastructure on daytime heat mitigation, proposing a “right shade, right place, right time” paradigm for regulating important street canyon geometries (building height, road width, and tree crown width) and orien-tations. Additionally, human evaporative heat dissipation can be hindered by urban moisture islands and wind impediments; thus, a detailed urban ventilation strategy is suggested considering different temperature-humidity combinations. For personal heat protection, we identified an evident cooling effect of high-albedo clothing and a thermal-comfort-optimal walking speed. Special attention is paid to heat-vulnerable groups, especially older people who suffer from notably higher heat risks during pandemics with facemask-induced heat burden. Bridging urban climate and human ergonomics, this study aims to advance human-centric urban design toward future smart, resilient, and inclusive cities.
Availability of clean and safe freshwater has become a looming global concern. The accelerated demography, industrialization, and climate changes contaminate the meager freshwater reserves. Pollution of water bodies is significantly detrimental to health, ecology, economy, and society. The rising number of malnutrition cases, stunted growth, hepatitis, gastroenteritis, skin ailments, cholera, respiratory disorders, liver malfunction, eye infections, and mortality have been attributed to exposure to compromised water. Thus, optimized, durable, and inexpensive wastewater treatment and remediation processes are necessary. Current conventional treatment strategies suffer from several drawbacks, which may be mitigated through nanotechnological intercession, promising sustainability. Nanomaterials include nanosorbents, carbon nanotubes, nanocomposites, nanofibers, graphene, nanodendrimers, nanomembranes, and nanocatalysts. They have unique properties that make attractive alternatives for wastewater remediation, purification, and contamination detection through pollutant-specific nanosensors and detectors. This review discusses water pollution, its impacts, conventional treatment strategies, nanotechnological contributions, venture possibilities, and associated commercial opportunities.
Climate change is amongst the most serious issues nowadays. Climate change has become a concern for the scientific community as it could affect human health. Researchers have found that climate change potentially impacts human mental health, especially among depressive patients. However, the relationship is still unclear and needs further investigation. The purpose of this systematic review is to systematically evaluate the evidence of the association between climate change effects on depressive patients, investigate the effects of environmental exposure related to climate change on mental health outcomes for depressive patients, analyze the current technique used to determine the relationship, and provide the guidance for future research. Articles were identified by searching specified keywords in six electronic databases (Google Scholar, PubMed, Scopus, Springer, ScienceDirect, and IEEE Digital Library) from 2012 until 2021. Initially, 1823 articles were assessed based on inclusion criteria. After being analyzed, only 15 studies fit the eligibility criteria. The result from included studies showed that there appears to be strong evidence of the association of environmental exposure related to climate change in depressive patients. Temperature and air pollution are consistently associated with increased hospital admission of depressive patients; age and gender became the most frequently considered vulnerability factors. However, the current evidence is limited, and the output finding between each study is still varied and does not achieve a reasonable and mature conclusion regarding the relationship between the variables. Therefore, more evidence is needed in this domain study. Some variables might have complex patterns, and hard to identify the relationship. Thus, technique used to analyze the relationship should be strengthened to identify the relevant relationship.
In many West African river basins, households regularly experience floods and the associated impacts. In the absence of widely accessible formal risk transfer mechanisms (e.g., insurance), households often have to cope with financial impacts. Only a few studies have explored the financial effects of floods on agriculture-dependent households in the region and the role formal and informal risk transfer plays in their mitigation. This study addresses this gap, explores flood impacts with financial implications for households, and researches the existing strategies to mitigate them. Moreover, it aims to better understand how different measures influence the recovery process. The study draws on primary data from a household survey (n = 744) in the Lower Mono River basin, combined with stakeholder workshops and semi-structured interviews, and applies a generalized linear model to the survey data. The results reveal four flood impact types with financial implications: agricultural, material, health, and trade. Moreover, a shortened recovery time is significantly associated with assistance from savings groups and cooperatives-groups originally not formed to help during floods. In light of the severe and frequent flood impacts, effective and publicly accepted adaptation measures are needed to enable favorable conditions for creating sustainable and accessible risk transfer mechanisms.
OBJECTIVES: To investigate public concerns about the impacts of climate change on people’s health in the UK and their priorities for action by local government. In the UK, local government are responsible for the environmental protection and health of their local population. STUDY DESIGN: Cross-sectional survey. METHODS: An online survey of UK adults aged ≥18 years was conducted in 2021 (n = 4050). Representative quotas were set for gender, age group, ethnic group, educational attainment and location (UK country/England region). Survey participants were asked about their concerns about the health impacts of climate change and, excluding those reporting no concerns, their top priorities for their local government to address. RESULTS: The dominant health concerns related to air pollution and severe floods. These exposures were also identified as the two most important priorities for local government to address. Separate logistic regression models investigated local-level factors that predicted the selection of each priority, taking account of socio-demographic factors. For both outcomes, awareness of the relevant exposure in the local area in the past 12 months doubled the odds of selecting it as a priority (air pollution: OR 2.01, 95%CI 1.71, 2.36; floods: OR 2.16, 95%CI 1.88, 2.48). CONCLUSIONS: The study demonstrates the potential of surveys to capture public priorities for local action on the health impacts of climate change, and to yield clear policy advice on the issues of greatest public concern.
Pulses are an important source of energy and protein, essential amino acids, dietary fibers, minerals, and vitamins, and play a significant role in addressing global nutritional security. The global pulse area, production, and average productivity increased from 1961 to 2020 (60 years). Pulses are usually grown under rainfed, highly unstable, and complex production environments, with substantial variability in soil and environmental factors, high year-to-year output variability, and variation in soil moisture. Since the last six decades, there is not much satisfactory improvement in the yield of pulses because of their cultivation in harsh environments, coupled with their continuous ignorance of the farmers and governments in policy planning. As a result, the global food supplies through pulses remained negligible and amounted to merely ~1.0% of the total food supply and 1.2% of the vegan food system. In this situation, protein-rich food is still a question raised at the global level to make a malnutrition-free world. Pulses are a vital component of agricultural biological diversity, essential for tackling climate change, and serve as an energy diet for vegetarians. Pulses can mitigate climate change by reducing the dependence on synthetic fertilizers that artificially introduce nitrogen (N) into the soil. The high demand and manufacture of chemical fertilizers emit greenhouse gases (GHGs), and their overuse can harm the environment. In addition, the increasing demand for the vegetal protein under most global agroecosystems has to be met with under a stressed rainfed situation. The rainfed agroecosystem is a shelter for poor people from a significant part of the globe, such as Africa, South Asia, and Latin America. Nearly, 83% [over 1,260 million hectares (ha)] of cultivated land comes under rainfed agriculture, contributing significantly to global food security by supplying over 60% of the food. In rainfed areas, the limitation of natural resources with the shrinking land, continuous nutrient mining, soil fertility depletion, declining productivity factor, constantly depleting water availability, decreasing soil carbon (C) stock, augmented weed menace, ecological instability, and reduced system productivity are creating a more challenging situation. Pulses, being crops of marginal and semi-marginal soils of arid and semi-arid climates, require less input for cultivation, such as water, nutrients, tillage, labor, and energy. Furthermore, accommodation of the area for the cultivation of pulses reduces the groundwater exploitation, C and N footprints, agrochemical application in the cropping systems, and ill effects of climate change due to their inherent capacity to withstand harsh soil to exhibit phytoremediation properties and to stand well under stressed environmental condition. This article focuses on the role of pulses in ecological services, human wellbeing, soil, environmental health, and economic security for advanced sustainability. Therefore, this study will enhance the understanding of productivity improvement in a system-based approach in a rainfed agroecosystem through the involvement of pulses. Furthermore, the present study highlighted significant research findings and policy support in the direction of exploring the real yield potential of pulses. It will provide a road map to producers, researchers, policymakers, and government planners working on pulses to promote them in rainfed agroecosystems to achieve the United Nations (UN’s) Sustainable Development Goals (SDGs).
With the rapid process of urbanization and global warming, extreme heat events occur frequently, endangering urban dwellers’ health. Urban parks could alleviate the severe urban heating climate. However, due to the scarcity of urban land, it is impractical to plan and design urban parks by increasing the blue-green space without restriction. Few studies have focused on optimization and the equity of the parks’ cooling service. This study quantifies four cooling indicators of urban parks in Wuhan city, park’s cooling intensity (PCI), park’s cooling area (PCA), park’s cooling gradient (PCG), and park’s cooling efficiency (PCE), analyze the drivers for four indicators, discuss different cooling bundles (urban parks with similar specific cooling ability are grouped into bundles) for the specific heat mitigation demands, and map the spatial accessibility for residents to parks’ PCA using spatial network analysis. We find that 54 of 60 urban parks have significant cooling effect, with average PCI of 3.5 & PLUSMN; 0.2 ?, PCA of 131.6 & PLUSMN; 29.6 ha, PCG of 17.9 & PLUSMN; 1.5 ?/km, PCE of 4.5 & PLUSMN; 0.8. Blue and green infrastructure inside parks and impervious surface ratio surrounding the parks play significant roles in cooling service. Larger urban parks usually have larger PCA, but lower PCG and PCE. Five cooling bundles clustered with specific dominant cooling indicators could be references for the specific demand considering tradeoffs in urban parks’ design and planning. Taking one step further, we unmask the unequal accessibility of the urban parks cooling service in one extreme heat day: 83.6% of the residents in the central area can enjoy the urban parks’ cooling service within 30-min walk, while most residents (74.4%) in suburbs are not able to access to the cooling service within 30-min walk. Our study should be valuable for the urban planning and practice to find heat mitigation solutions and improve residents’ heat comfort, also helpful for local municipalities to consider the urban parks’ service provision for marginal groups.
Urban planners, architects and civil engineers are integrating Nature-Based Solutions (NBS) to address contemporary environmental, social, health and economic challenges. Many studies claim that NBS are poised to improve citizens’ well-being in urban areas. NBS can also benefit Public Health, as they can contribute to optimising environmental parameters (such as urban heat island effects, floods, etc.), as well as to the reduction of diseases, as for example cardiovascular ones and the overall mortality rate. In addition, the usage of mobile health (mHealth) solutions has been broadly applied to support citizens’ well-being as they can offer monitoring of their physical and physiological status and promote a healthier lifestyle. The aim of this paper is to present the specifications, the design and the development of a mobile app for monitoring citizens’ well-being in areas where NBS have been applied. The users’ physical activity and vital signs are recorded by wearable devices and the users’ locations are recorded by the proposed mobile application. All collected data are transferred to the cloud platform where data management mechanisms aggregate data from different sources for combined analysis. The mobile application is currently available for Android and iOS devices and it is compatible with most smart devices and wearables. The “euPOLIS by BioAssist” application can be used as a health and other data collection tool to investigate citizen’s well-being improvement in areas with NBS.
Urban air pollution, known to seriously affect residents’ health, is a growing concern globally. In the past decade, the central-eastern region of China has become one of the most polluted areas in the world. In this study, we used data on PM2.5 and the exposed population, conducted an in-depth analysis using the ERA5 reanalysis dataset and analysis methods (including weather patterns clustering, and Moran’s I, exposure-response relationship). Aiming to identify regional pollution characteristics, meteorological impact mechanisms and the health concerns attributable to PM2.5 in central and eastern China. Through clustering technology, the weather during the study period was clustered into four weather patterns, denoted as T1-T4; among the four weather patterns, T2 and T4 were the main weather patterns in winter. Moreover, we discussed the interannual contribution of changing weather patterns (and their synergy with spatial effects) to PM2.5. The results indicated that, after considering spatial effects, there was a slight increase in the contribution rate of weather patterns to the interannual variations in PM2.5 (maximum increase of 4.1%). The results of health risk assessment revealed that the annual changes in the number of cases of acute and chronic bronchitis and PM2.5 concentrations in each city were correlated. Notably, these findings can provide a reliable reference for promoting optimal air quality in cities, by strengthening mitigation strategies and supporting policymakers to ensure the prevention and control of regional pollutants.
The Paris Agreement aims to constrain global warming to ‘well below 2 degrees C’ and to ‘pursue efforts’ to limit it to 1.5 degrees C above pre-industrial levels. We quantify global and regional risk-related metrics associated with these levels of warming that capture climate change-related changes in exposure to water scarcity and heat stress, vector-borne disease, coastal and fluvial flooding and projected impacts on agriculture and the economy, allowing for uncertainties in regional climate projection. Risk-related metrics associated with 2 degrees C warming, depending on sector, are reduced by 10-44% globally if warming is further reduced to 1.5 degrees C. Comparing with a baseline in which warming of 3.66 degrees C occurs by 2100, constraining warming to 1.5 degrees C reduces these risk indicators globally by 32-85%, and constraining warming to 2 degrees C reduces them by 26-74%. In percentage terms, avoided risk is highest for fluvial flooding, drought, and heat stress, but in absolute terms risk reduction is greatest for drought. Although water stress decreases in some regions, it is often accompanied by additional exposure to flooding. The magnitude of the percentage of damage avoided is similar to that calculated for avoided global economic risk associated with these same climate change scenarios. We also identify West Africa, India and North America as hotspots of climate change risk in the future.
Urban heat islands (UHIs) exert a substantially negative impact on human health and urban sustainability. The role of two-dimensional (2D) landscape patterns in UHIs are well documented; while the effects and contributions of three-dimensional (3D) urban structures remain unclear, especially across different climatic zones. Here we investigated the relationship between 2D/3D urban morphology and the urban thermal environment in summer and winter during the day and at night in 62 representative large cities across four major climate zones in China. First, we extracted the seasonal surface regional heat island intensity (SRHII) using the MODIS 8-Day land surface temperature product. Subsequently, we constructed 25 2D and five 3D urban features and explored their relative importance and respective roles in UHIs in different climatic contexts. Results show that: (1) significant differences (p < 0.05) exist in SRHII between various climate zones; cities with a humid subtropical climate experience temperatures approximately 2 degrees C higher during the day in summer compared to those with the other climate types. (2) 3D urban features can effectively improve the interpretation of urban features for SRHII, with an average optimization level of 21%. (3) Urban trees have a higher cooling effect than other green spaces, whereas tall buildings can also reduce the UHI effect. (4) On summer days, equal proportions of tree to building volume provide the greatest cooling effects. This study provides new insights into the effect of 3D urban characteristics on SRHII and has promising implications for climate resilience planning and heat-related risk management
The quantitative literature on climate change and mental health is growing rapidly. However, the methodological quality of the evidence is heterogeneous, and there is scope for methodological improvement and innovation. The first section of this Personal View provides a snapshot of current methodological trends and issues in the quantitative literature on climate change and mental health, drawing on literature collected through a previous scoping review. The second part of this Personal View outlines opportunities for methodological innovation concerning the assessment of the relationship between climate change and mental health. We then highlight possible methodological innovations in intervention research and in the measurement of climate change and mental health-related variables. This section draws upon methods from public mental health, environmental epidemiology, and other fields. The objective is not to provide a detailed description of different methodological techniques, but rather to highlight opportunities to use diverse methods, collaborate across disciplines, and inspire methodological innovation. The reader will be referred to practical guidance on different methods when available. We hope this Personal View will constitute a roadmap and launching pad for methodological innovation for researchers interested in investigating a rapidly growing area of research.
Disasters associated with a changing climate create excess demand for emergency health care. Four case studies are used to highlight ways to help prevent excess demand for emergency healthcare services due to climate change. Nurse leaders are encouraged to expand their collaborations in climate finance to promote resilience to disasters and prevent excess demand for emergency health services.
Wildfire smoke is a rapidly growing threat to global cardiovascular health. We review the literature linking wildfire smoke exposures to cardiovascular effects. We find substantial evidence that short-term exposures are associated with key cardiovascular outcomes, including mortality, hospitalization, and acute coronary syndrome. Wildfire smoke exposures will continue to increase over the majority of Earth’s surface. For example, the United States alone has experienced a 5-fold increase in annual area burned since 1972, with 82 million individuals estimated to be exposed to wildfire smoke by midcentury. The associated rise in excess morbidity and mortality constitutes a growing global public health crisis. Fortunately, the effect of wildfire smoke on cardiovascular health is modifiable at the individual and population levels through specific interventions. Health systems therefore have an opportunity to help safeguard patients from smoke exposures. We provide a roadmap of evidence-based interventions to reduce risk and protect cardiovascular health. Key interventions include preparing health systems for smoke events; identifying and educating vulnerable patients; reducing outdoor activities; creating cleaner air environments; using air filtration devices and personal respirators; and aggressive management of chronic diseases and traditional risk factors. Further research is needed to test the efficacy of interventions on reducing cardiovascular outcomes.
In this contribution, we explore how human health can be protected from climate change and its adverse effects by reliance on States’ obligations under international law. We achieved this by reviewing the principal legal instruments that establish the right to health, as well as those that recognize that climate change has an adverse impact on health (Part II). We then examine the means of redress that may be available to those whose human right to health has been interfered with or violated because of climate change (Part III). Finally, we draw some conclusions as to the current effectiveness and future direction of these developments.
BACKGROUND: Positive influence of the sun on psoriasis is a common assumption in dermatology. Other season-related factors such as mental health may interfere. However, the role of seasonal effects on psoriasis needs to be clarified. This review aims to systematically analyze the literature on seasonal variation on psoriasis with emphasis on Northern and Central Europe representing temperate climate conditions. MATERIALS AND METHODS: Enrolled literature was identified through PubMed, EMBASE, and BIOSIS. An additional manual search of old reports before the introduction of efficient modern therapies, which can interfere with the spontaneous disease, was performed. RESULTS: Thirteen studies were enrolled. About 50% of psoriasis patients were stable and showed no seasonal difference between seasons. Approximately 30% improved in summer, and 20% performed better in winter, some with marked summer worsening. European results matched international reports from different continents and hemispheres with climate extremes. The psychological effects could not be ruled out. CONCLUSION: About 50% of psoriasis patients experience a season-independent disease, however, with a subset of patients who do better in summer. Others again do better in winter, with a few of these having marked worsening in warm periods. Individual season-related activity records should be paid proper attention to when considering light therapy or climatotherapy as a treatment.
Media-triggered mental disorders are common when people experience traumatic events. However, few studies have examined the underlying mechanism of how viewing disaster-related short videos triggers psychiatric reactions among non-exposed populations in the context of today’s media ecology. Moreover, limited studies have employed psychological network analysis to comprehensively disentangle the associations between diverse forms of media exposure and psychological symptoms. To fill these research gaps, we conducted a survey on a non-exposed population (N = 516) during the 2021 Henan floods to test the effects of short video exposure on its mental status. Short video exposure behaviors were measured under 12 different scenarios, and the participants’ mental status (i.e., depression, anxiety, and post-traumatic stress disorder [PTSD]) was measured using the nine-item Patient Health Questionnaire (PHQ-9), seven-item Generalized Anxiety Disorder (GAD-7) scale, and PTSD Check List-Civilian version (PCL-C). We employed both correlation and psychological network analyses to make estimations. The descriptive results revealed that short video exposure behaviors among almost all scenarios were positively associated with the scores of PHQ-9, GAD-7, and PCL-C. The network analysis revealed that both depression and anxiety were associated with the “Support (SVP)” scenario, whereas PTSD was directly linked to the “Help Seeking (SVP)” scenario. Among the three networks, “Help Seeking (SVP)” was the most central among the 12 scenarios of short video exposure. The central symptoms for depression, anxiety, and PTSD were “Concentration,” “Relax,” and “Reliving Trauma,” respectively. The shortest paths between the central short video exposure item and central symptom among the three networks consisted of only two or three steps. This study’s findings could assist researchers and policymakers in undertaking novel disaster-related practical activities worldwide.
Climate change presents an unprecedented public health challenge as it has a great impact on population health outcomes across the global population. The key to addressing these health challenges is adaptation carried out in cities through collaboration between institutions, including public health ones. Through semi-structured interviews (n = 16), this study investigated experiences and perceptions of what public health aspects are considered by urban and public health planners and researchers when planning climate change adaptation in the coastal cities of Söderhamn (Sweden), Porto (Portugal) and Navotas (the Philippines). Results of the thematic analysis indicated that participating stakeholders were aware of the main climate risks threatening their cities (rising water levels and flooding, extreme temperatures, and air pollution). In addition, the interviewees talked about collaboration with other sectors, including the public health sector, in implementing climate change adaptation plans. However, the inclusion of the public health sector as a partner in the process was identified in only two cities, Navotas and Porto. Furthermore, the study found that there were few aspects pertaining to public health (water and sanitation, prevention of heat-related and water-borne diseases, and prevention of the consequences associated with heat waves in vulnerable groups such as children and elderly persons) in the latest climate change adaptation plans posted on each city’s website. Moreover, participants pointed to different difficulties: insufficient financial resources, limited intersectoral collaboration for climate change adaptation, and lack of involvement of the public health sector in the adaptation processes, especially in one of the cities in which climate change adaptation was solely the responsibility of the urban planners. Studies using larger samples of stakeholders in larger cities are needed to better understand why the public health sector is still almost absent in efforts to adapt to climate change.
BACKGROUND: The COVID-19 pandemic and climate change are both significant and pressing global challenges, posing threats to public health and wellbeing. Young people are particularly vulnerable to the distress both crises can cause, but understanding of the varied psychological responses to both issues is poor. We aimed to investigate these responses and their links with mental health conditions and feelings of agency. METHODS: We conducted an online survey between Aug 5 and Oct 26, 2020, targeting a diverse sample of young people (aged 16-24 years, n=530) in the UK. The survey was distributed using a combination of a survey panel (panel sample) and direct approaches to youth groups and schools who shared the survey with young people in their networks (community sample). We collected data on respondents’ psychological responses to both climate change and the COVID-19 pandemic, their sense of agency to respond to each crisis, and the range of impacts on their lives. We also collected demographics data and screened for mental health and wellbeing indicators. We used non-parametric tests for most statistical comparisons. For paired samples, we used Wilcoxon’s signed-rank test, and used Mann-Whitney U-tests or Kruskal-Wallis tests for two or more independent samples. Summed scale scores were considered as interval-level data and analysed with Student’s t tests and ANOVAs. Effect sizes are reported as Cohen’s d and partial eta-squared (η·(2)(p)), respectively. FINDINGS: After excluding 18 suspected bots and 94 incomplete responses, 530 responses were retained for analysis. Of the 518 respondents who provided demographic data, 63% were female, 71·4% were White, and the mean family affluence score was 8·22 (SD 2·29). Most participants (n=343; 70%) did not report a history of diagnosis or treatment for a mental health disorder, but mental health scores indicated a common experience of (relatively mild) symptoms of anxiety, depression, and stress. Although UK youth reported more life disruption and concern for their future due to the COVID-19 pandemic, climate change was associated with significantly greater distress overall, particularly for individuals with low levels of generalised anxiety. The COVID-19 pandemic was more associated with feelings of anxiety, isolation, disconnection, and frustration; distress around loss and grief; and effects on quality of life. Climate change was more likely to evoke emotions such as interest and engagement, guilt, shame, anger, and disgust. The greater distress attributed to climate change overall was due, in particular, to higher levels of guilt, sense of personal responsibility, and greater distress triggered by upsetting media coverage. Agency to address climate change was associated with greater climate distress, but pandemic-related distress and agency were unrelated. INTERPRETATION: The COVID-19 pandemic and climate change are affecting the wellbeing of UK young people in distinct ways, with implications for health service, policy, and research responses. There is a need for mental health practitioners, policy makers, and other societal actors to account for the complex relationship between climate agency, distress, and mental wellbeing in young people. FUNDING: Imperial College London.
BACKGROUND: The World Health Organization identified climate change as the 21st century’s biggest health threat. This study aimed to identify the current knowledge base, evidence gaps, and implications for climate action and health policymaking to address the health impact of climate change, including in the most underserved groups. METHODS: The Horizon-funded project ENBEL (‘Enhancing Belmont Research Action to support EU policy making on climate change and health’) organised a workshop at the 2021-European Public Health conference. Following presentations of mitigation and adaptation strategies, seven international researchers and public health experts participated in a panel discussion linking climate change and health. Two researchers transcribed and thematically analysed the panel discussion recording. RESULTS: Four themes were identified: (1) ‘Evidence is key’ in leading the climate debate, (2) the need for ‘messaging about health for policymaking and behaviour change’ including health co-benefits of climate action, (3) existing ‘inequalities between and within countries’, and (4) ‘insufficient resources and funding’ to implement national health adaptation plans and facilitate evidence generation and climate action, particularly in vulnerable populations. CONCLUSION: More capacity is needed to monitor health effects and inequities, evaluate adaptation and mitigation interventions, address current under-representations of low- or middle-income countries, and translate research into effective policymaking.
Wildfire smoke events are increasing in British Columbia (BC), Canada and environmental and public health agencies are responsible for communicating the health-related risks and mitigation strategies. To evaluate and identify opportunities for improving public communications about wildfire smoke and associated health risks we collaborated with end-users and developed a 32-question online survey. The survey was deployed province-wide from 29 September to 31 December 2020 following a severe wildfire smoke episode, which impacted large parts of BC. Using a convenience sample, we disseminated the survey through email lists, radio advertisements, a provincial research platform, and snowball methods. There were 757 respondents, who were generally representative of provincial demographics. Respondents indicated that they receive wildfire smoke messages from diverse sources, including: websites, social media, radio, and television. Radio was identified as the most important source of information for populations that may have increased exposure or health risks, including Indigenous respondents and those working in the trades. Respondents with lower educational attainment expressed that messaging should be simplified. Environmental and public health agencies should continue to share wildfire smoke messages using diverse methods, ideally tailoring the messages and methods to specific populations at risk for exposure and health effects.
Climate change-related exposures such as flooding and ambient air pollution place people’s health at risk. A representative UK survey of adults investigated associations between reported flooding and air pollution (in the participants’ local area, by the participant personally, and/or by family and close friends) and climate change concerns (CCC) and perceptions of its health impacts (PIH). In regression analyses controlling for socio-demographic factors and health status, exposure was associated with greater CCC and more negative PIH. Compared to those with low CCC, participants who reported local-area exposure were significantly more likely to be fairly (OR 2.07, 95%CI 1.26, 3.40) or very concerned (OR 3.40, 95%CI 2.02, 5.71). Odds of greater CCC were higher for those reporting personal and/or family exposure (‘fairly concerned’: OR 2.83, 95%CI 1.20, 6.66; ‘very concerned’: OR 4.11, 95%CI 1.69, 10.05) and for those reporting both local and personal/family exposure (‘fairly concerned’: OR 3.35, 95%CI 1.99, 5.63; ‘very concerned’: OR 6.17, 95%CI 3.61, 10.55). For PIH, local exposure significantly increased the odds of perceiving impacts as ‘more bad than good’ (1.86, 95%CI 1.22, 2.82) or ‘entirely bad’ (OR 1.88; 95%CI 1.13, 3.13). Our study suggests that public awareness of climate-related exposures in their local area, together with personal exposures and those of significant others, are associated with heightened concern about climate change and its health impacts.
Urban Green Infrastructure (UGI) can provide many needed ecosystem services (ES) to help address challenges like biodiversity loss and climate change while contributing to the health and wellbeing of urban inhabitants. In order to optimize UGI for a given city, a first step is to assess the local ES needs and the potential barriers to ES provision. However, it is not known how consistent these needs and barriers are among cities in different settings. To help address this knowledge gap, the aim of this study was to assess ES priorities and existing barriers to ES provision for three cities varying in socioeconomic, cultural and climatic setting: Addis Ababa (Ethiopia), Cincinnati (USA) and Malmo (Sweden). In case studies of each of the three cities, we carried out workshops with key stakeholders and collected their assessments of both current provision of ES from UGI and future priorities. The workshops were followed by expert stakeholder interviews aimed at highlighting existing barriers to ES provision. In spite of the different urban contexts, expressed ES priorities were similar among the cities, with the highest cross-cutting priorities being climate change adaptation, stormwater runoff management and water quality, mental and physical health, biodiversity, and provision of local food. Stakeholder-expressed barriers to ES provision were also broadly similar among cities, falling into three main categories: structural pressures, gaps in governance, and lack of ecological awareness and vision. Our results suggest that certain key ES priorities and barriers may apply broadly to cities regardless of climatic or socio-cultural context. These generic needs can help direct the focus of future studies, and imply a clear benefit to international, even cross-continental study and knowledge-exchange among practitioners and researchers working with UGI.
Flood hazard maps display areas inundated by water bodies after extreme rainfall events occur, helping governments focus on performing protection works there. However, rainfall also causes small disasters at other moments, which are not included in these maps, such as traffic impedance and water-borne diseases, both inside and outside the mapped floodplain. Their mitigation would help build resilience and reduce inequality. Unfortunately, small disasters are overlooked in traditional risk management for being tolerable, mild, and scattered. Though they do occur with high frequency, it is challenging to get data sources to describe them accurately. Therefore, efforts must be made to base analyses on available on-site reports. The objectives of this paper are to relate small disasters to rainfall parameters and neighborhood attributes, and to prioritize neighborhoods for intervention in Cali, Colombia. Contributions provided here are useful to prioritize areas in other cities, and to follow better data gathering practices.
The Heat Index is a metric that quantifies heat exposure in human beings. Here, using probabilistic emission projections, we show that changes in the Heat Index driven by anthropogenic CO2 emissions will increase global exposure to dangerous environments in the coming decades. Even if the Paris Agreement goal of limiting global warming to 2 degrees C is met, the exposure to dangerous Heat Index levels will likely increase by 50-100% across much of the tropics and increase by a factor of 3-10 in many regions throughout the midlatitudes. Without emissions reductions more aggressive than those considered possible by our statistical projection, it is likely that by 2100, many people living in tropical regions will be exposed to dangerously high Heat Index values during most days of each typical year, and that the kinds of deadly heat waves that have been rarities in the midlatitudes will become annual occurrences. Exposure to dangerous heat index levels will likely increase by 50-100% in the tropics and by a factor of 3-10 in the mid-latitudes by 2100, even if the Paris Agreement goal of limiting warming to 2 degrees C is met, according to probabilistic projections of global warming.
In recent decades, rising trend in the number of heat waves (HWs) has exacerbated the risk of heat-related mortality and morbidity. The frequent deadly HWs precipitated a multitude of national and sub-national heathealth prevention and research efforts. In 2008, the WHO Regional Office for Europe developed and published guidance on heat-health action plans (HHAPs). This provided a blueprint for countries to design heat-related prevention efforts. Since then, a large corpus of new evidences and implementation experiences has emerged around adaptive measures, alert systems and urban planning interventions. The present study conducts a systematic review to critically assess the advent and development of HHAPs with a special focus on its integration with urban planning policies. It reviews the concept of threshold, indicators for heat event determination and measurement of HWs to understand trigger setting mechanisms. The results show that implementation of core elements of HHAPs varies significantly in the areas of long-term urban planning, real-time surveillance, monitoring and evaluation. Moreover, low levels of inclusion of HHAPs with national policies hinder the overall potential of adaptation measures. The growing impacts of HWs emphasize the urgent need to address spatial heat vulnerability and build urban heat resilience into implementable action plans.
Dissolved organic matter (DOM) and microbes are key in the planetary carbon cycle, and research on them can lead to a better understanding of the global carbon cycle and an improved ability to cope with environmental challenges. Several papers have reviewed one or several aspects of the interaction of DOM and microbes, but no overall review has been performed. Here, we bibliometrically analyzed all publications from the Web of Science on DOM and microbes (1991-2020). The results showed that studies on DOM and microbes grew exponentially during this period; the USA contributed the most to the total publications, and China has had the fastest increasing rate since 2010. Moreover, we used the Latent Dirichlet Allocation model to identify topics and determine their (cold or hot) trends by analyzing the abstracts of 9851 publications related to DOM and microbes. A total of 96 topics were extracted, and these topics that are related to the source, composition, and removal path of DOM and the temporal-spatial patterns of DOM and microbes consistently rose from 1991 to 2020. Most studies have used accurate and rapid methods combined with microbiological genetic approaches to study the interaction of DOM and microbes in terrestrial and aquatic ecosystems. The results also showed that the impacts of climate change and land use on the interaction of DOM and microbes, and topics related to human health have received considerable attention. In the future, the interaction mechanism of DOM and microbes and its response to environmental change should be further elucidated.
The risk of heatwave events and their persistence has intensified in recent past and is expected to increase faster in future. However, the anticipated changes in socioeconomic exposure to heatwaves are still unexplored. Here, we investigate the projected heat stress and associated socioeconomic exposure across South Asia (SA) and its subregions using the newly released ensemble mean of 23 global climate models from the Coupled Model Intercomparison Project Phase 6 (CMIP6), population, and Gross Domestic Product (GDP) projections. We used two Shared Socioeconomic Pathways (SSPs), namely SSP2-4.5 and SSP5-8.5, and three-time periods, that is, near-term, midterm, and long-term relative to the base period (1985-2005). We found that SA region has the potential for widespread changes to Wet bulb globe temperature (WBGT) of 6.5 degrees C, which can exceed the theoretical limits of human tolerance by the mid of 21st century. The SA population’s exposure significantly increases during midterm and long-term periods by similar to 750×106 10(6) person-hours under the SSP5-8.5 scenario. The GDP exposure is the greatest for the same period’s up to 200×109 10(9) dollar-hours under the SSP2-4.5. Moreover, the foothills Himalayans and northern parts of Pakistan are presently unaffected by WBGT during midterm and long-term periods under both scenarios. Among subregions (hereafter R1, R2, R3, and R4), the frequency of subdaily WBGT is projected to increase in the region R2 and R4 by similar to 70% and similar to 90% under the SSP2-4.5 and SSP5-8.5 scenarios relative to the base period. The highest upsurge in exposure is anticipated for R2, including southern Pakistan and southwestern India, followed by R1 and R3. Notably, the climate effect is more dominant than the population, whereas changes in GDP effect contribute to the total change in GDP exposure.
Human-induced climate change will increase surface temperatures globally over the next several decades. Climate models project that global mean surface temperature could increase by over 2 C by 2050 relative to the preindustrial period, with even greater changes at the regional level. These temperature changes have clear and pertinent implications for extremes, and consequentially, heat-induced health issues for people living in particularly hot climates. Here, we study future projections in the demand for AC globally in the 2050 s associated with extreme heat events. To do this, we employ an ensemble of CMIP6 models under high and low emissions scenarios. We find that the increasing frequency of extreme temperatures will cause a significant portion of the global population to be exposed to conditions that require cooling. This issue will be especially pervasive in poor countries such as India and Indonesia, which at present lack the AC units required to handle rapidly growing populations and increased frequencies of extreme temperatures. The electricity needed for cooling in these countries could reach as high as 75% of the current total annual electricity demand, which could place serious strain on the electricity grid infrastructure during peak cooling hours. We conclude that demand for cooling in the future will pose a significant challenge for poorer countries whose people will require AC units to handle extreme temperatures. In some countries, the grid infrastructure is insufficient at present to meet projected AC demands, and this need must be considered in future power systems planning. (C) 2022 The Authors. Published by Elsevier B.V.
Summer heat extremes in the UK pose a risk to health (amongst other sectors) and this is exacerbated by localised socio-economic factors that contribute to vulnerability. Here, regional climate model simulations from the UK Climate Projections are used to assess how different elements of extreme heat will vary across the UK in the future under global mean surface temperature warming levels of +1.5 degrees C, +2.0 degrees C and +3.0 degrees C above pre-industrial. Heat stress metrics incorporating daily maximum and minimum temperature, temperature variability and vapour pressure are included. These show qualitatively similar spatial patterns for the recent past, with the most pronounced heat hazards found in south-eastern regions of the UK. Projected heat hazard changes across the UK are not homogeneous, with southern regions (e.g. Greater London, South East) showing greater increases in maximum temperatures and northern regions (e.g. Scotland and Northern Ireland) showing greater increases in humidity. With +3.0 degrees C warming, the relative change in combined heat hazards is found to be greatest in the south-western UK, however, in absolute terms, south-eastern regions will still experience the greatest hazards. When combined with socio-economic factors, hotspots of high heat stress risk emerge in parts of London, the Midlands and eastern England along with southern and eastern coastal regions. Weighting of different heat risk factors is subjective and to this end we have developed and made available an interactive app which allows users to assess sensitivities and uncertainties in the projected UK heat risk.
Toxin-producing microalgae present a significant environmental risk for ecosystems and human societies when they reach concentrations that affect other aquatic organisms or human health. Harmful algal blooms (HAB) have been linked to mass wildlife die-offs and human food poisoning episodes, and climate change has the potential to alter the frequency, magnitude, and geographical extent of such events. Thus, a framework of species distribution models (SDMs), employing MaxEnt modeling, was used to project changes in habitat suitability and distribution of three key paralytic shellfish toxin (PST)-producing dinoflagellate species (i.e., Alexandrium catenella, A. minutum, and Gymnodinium catenatum), up to 2050 and 2100, across four representative concentration pathway scenarios (RCP-2.6, 4.5, 6.0, and 8.5; CMIP5). Despite slightly different responses at the regional level, the global habitat suitability has decreased for all the species, leading to an overall contraction in their tropical and sub-tropical ranges, while considerable expansions are projected in higher latitudes, particularly in the Northern Hemisphere, suggesting poleward distributional shifts. Such trends were exacerbated with increasing RCP severity. Yet, further research is required, with a greater assemblage of environmental predictors and improved occurrence datasets, to gain a more holistic understanding of the potential impacts of climate change on PST-producing species.
BACKGROUND: Previous studies projecting future temperature-related mortality under climate change have mostly used short-term temperature-mortality associations based on daily time series data. The present study aimed to project mortality under different Representative Concentration Pathways (RCPs) in 21st century in Hong Kong by using analysis of annual data during 1976-2018. METHODS: We employed a degree-days approach, calculating the sum of daily degrees above or below certain temperature threshold within a relevant historical year. The yearly age-standardized mortality rates (ASMRs) were regressed on annual hot and cold degree-days in quasi-Poisson generalized additive models to assess the exposure-response function that was subsequently used to calculate future changes in ASMR. The projection was performed without and with certain human adaptation assumed. RESULTS: ASMRs were projected to have net increases under RCPs 4.5, 6.0, and 8.5, with increased mortality attributable to excess hot days exceeding decreases attributable to excess cold days. The average net changes under RCP8.5 was estimated to be 0.12%, 12.44%, 38.99%, and 89.25% during 2030s, 2050s, 2070s, and 2090s, respectively. Higher projected ASMRs were estimated for those aged over 75 years and for cardiovascular deaths. When human adaptation was considered, slope reduction alone under RCP4.5 and 6.0 and all adaptation assumptions under RCP8.5 might still not offset its corresponding adverse impact. CONCLUSIONS: The projected decreases in cold-related mortality do not compensate for projected increases in heat-related mortality in Hong Kong. Better public adaptations strategies are warranted for coping with the adverse health impacts of climate change on a local scale.
PURPOSE OF REVIEW: There is clear evidence that the earth’s climate is changing, largely from anthropogenic causes. Flooding and tropical cyclones have clear impacts on human health in the United States at present, and projections of their health impacts in the future will help inform climate policy, yet to date there have been few quantitative climate health impact projections. RECENT FINDINGS: Despite a wealth of studies characterizing health impacts of floods and tropical cyclones, many are better suited for qualitative, rather than quantitative, projections of climate change health impacts. However, a growing number have features that will facilitate their use in quantitative projections, features we highlight here. Further, while it can be difficult to project how exposures to flood and tropical cyclone hazards will change in the future, climate science continues to advance in its capabilities to capture changes in these exposures, including capturing regional variation. Developments in climate epidemiology and climate science are opening new possibilities in projecting the health impacts of floods and tropical cyclones under a changing climate.
Epidemiologic evidence on acute heat and cold stress and preterm birth (PTB) is inconsistent and based on ambient temperature rather than a thermophysiological index. The aim of this study was to use a spatiotemporal thermophysiological index (Universal Thermal Climate Index, UTCI) to investigate prenatal acute heat and cold stress exposures and spontaneous PTB. We conducted a space-time-stratified case-crossover analysis of 15,576 singleton live births with spontaneous PTB between January 1, 2000 and December 31, 2015 in Western Australia. The association between UTCI and spontaneous PTB was examined with distributed lag nonlinear models and conditional quasi-Poisson regression. Relative to the median UTCI, there was negligible evidence for associations at the lower range of exposures (1st to 25th percentiles). We found positive associations in the 95th and 99th percentiles, which increased with increasing days of heat stress in the first week of delivery. The relative risk (RR) and 95% confidence interval (CI) for the immediate (delivery day) and cumulative short-term (up to six preceding days) exposures to heat stress (99th percentile, 31.2 °C) relative to no thermal stress (median UTCI, 13.8 °C) were 1.01 (95% CI: 1.01, 1.02) and 1.05 (95% CI: 1.04, 1.06), respectively. Elevated effect estimates for heat stress were observed for the transition season, the year 2005-2009, male infants, women who smoked, unmarried, ≤ 19 years old, non-Caucasians, and high socioeconomic status. Effect estimates for cold stress (1st percentile, 0.7 °C) were highest in the transition season, during 2005-2009, and for married, non-Caucasian, and high socioeconomic status women. Acute heat stress was associated with an elevated risk of spontaneous PTB with sociodemographic vulnerability. Cold stress was associated with risk in a few vulnerable subgroups. Awareness and mitigation strategies such as hydration, reducing outdoor activities, affordable heating and cooling systems, and climate change governance may be beneficial. Further studies with the UTCI are required.
The relations between preparedness and psycho-social attributes of people and communities exposed to river floods in a nearly pristine socio-hydrological system were investigated, applying a hydrological-hydraulic analysis of flood risk in combination with results from a survey, social cartography, semi-structured non-participant observation, and semi-structured interviews. Results show that preparedness in nearly pristine systems is noticeably different to that reported for altered systems. People adopt innovative and simple but efficient measures against floods, conditioned by (1) damage suffered during past floods, (2) perceived exposure to floods, and (3) the number of dependent people in the household. The studied system proved to be well adapted to floods but not resilient. Studying attributes that explain preparedness as part of flood risk management plans would contribute towards uncertainty reduction in risk calculations and increase the safety of goods and people from floods.
Global changes in response to human encroachment into natural habitats and carbon emissions are driving the biodiversity extinction crisis and increasing disease emergence risk. Host distributions are one critical component to identify areas at risk of viral spillover, and bats act as reservoirs of diverse viruses. We developed a reproducible ecological niche modelling pipeline for bat hosts of SARS-like viruses (subgenus Sarbecovirus), given that several closely related viruses have been discovered and sarbecovirus-host interactions have gained attention since SARS-CoV-2 emergence. We assessed sampling biases and modelled current distributions of bats based on climate and landscape relationships and project future scenarios for host hotspots. The most important predictors of species distributions were temperature seasonality and cave availability. We identified concentrated host hotspots in Myanmar and projected range contractions for most species by 2100. Our projections indicate hotspots will shift east in Southeast Asia in locations greater than 2°C hotter in a fossil-fuelled development future. Hotspot shifts have implications for conservation and public health, as loss of population connectivity can lead to local extinctions, and remaining hotspots may concentrate near human populations.
BACKGROUND: The flood in Fort McMurray (FMM) which occurred between April 26 and May 2, 2020, is known to have displaced an estimated population of 1,500 people, and destroyed or damaged about 1,230 buildings. In all, it is estimated to have caused about $228 million in losses. OBJECTIVE: This study aims to identify the prevalence and determinants of likely Generalized Anxiety disorder (GAD) in among respondents 12-months after the 2020 flooding. METHODS: Data for the study were collected through a cross-sectional survey sent through REDCap and hosted online from the 24th of April to the 2nd of June 2021. The self-administered questionnaire was emailed to respondents using community, government, school, and occupational platforms. Demographic, flooding-related variables, and clinical data were collected. A validated instrument, the GAD-7 was used to collect information on likely GAD. Consent was implied by completing the survey forms, and the University of Alberta Health Research Ethics Committee approved the study. RESULTS: Of the 249 residents surveyed, 74.7% (186) respondents completed the online survey, 81.6% (80) were above 40 years, 71% (132) were in a relationship, 85.5% (159) were females, and 94.1% (175) were employed. The prevalence of likely GAD was 42.5% in our study. Predictors of likely GAD among respondents included positive employment status (OR = 30.70; 95% C.I. 2.183-423.093), prior diagnosis of depression (OR = 3.30; 95% C.I. 1.157-9.43), and the perceived need to have mental health counseling (OR = 6.28; 95% C.I. 2.553-15.45). CONCLUSION: This study showed that there was an increased magnitude of moderate to high anxiety symptoms among respondents following the natural disaster particularly the flood in 2020. The predictors of likely GAD include positive employment status, history of depression diagnosis, and the need to have mental health counseling. Policymakers may mitigate the rise of anxiety after flooding in vulnerable areas by addressing these and other factors.
Global ocean warming results in an increase of infectious diseases including an elevated emergence of Vibrio spp. in Northern Europe. The European Centre for Disease Prevention and Control reported annual periods of high to very high risks of infection with Vibrio spp. during summer months along the North Sea and Baltic Sea coasts. Based on those facts, the risk of Vibrio infections associated with recreational bathing in European coastal waters increases. To obtain an overview of the seasonal and spatial distribution of potentially human pathogenic Vibrio spp. at German coasts, this study monitored V. cholerae, V. parahaemolyticus, and V. vulnificus at seven recreational bathing areas from 2017 to 2018, including the heat wave event in summer 2018. The study shows that all three Vibrio species occurred in water and sediment samples at all sampling sites. Temperature was shown to be the main driving factor of Vibrio abundance, whereas Vibrio community composition was mainly modulated by salinity. A species-specific rapid increase was observed at water temperatures above 10°C, reaching the highest detection numbers during the heat wave event with abundances of 4.5 log10 CFU+1/100 ml of seawater and 6.5 log10 CFU+1/100 g of sediment. Due to salinity, the dominant Vibrio species found in North Sea samples was V. parahaemolyticus, whereas V. vulnificus was predominantly detected in Baltic Sea samples. Most detections of V. cholerae were associated with estuarine samples from both seas. Vibrio spp. concentrations in sediments were up to three log higher compared to water samples, indicating that sediments are an important habitat for Vibrio spp. to persist in the environment. Antibiotic resistances were found against beta-lactam antibiotics (ampicillin 31%, cefazolin 36%, and oxacillin and penicillin 100%) and trimethoprim-sulfamethoxazole (45%). Moreover, isolates harboring pathogenicity-associated genes such as trh for V. parahaemolyticus as well as vcg, cap/wcv, and the 16S rRNA-type B variant for V. vulnificus were detected. All sampled V. cholerae isolates were identified as non-toxigenic non-O1/non-O139 serotypes. To sum up, increasing water temperatures at German North Sea and Baltic Sea coasts provoke elevated Vibrio numbers and encourage human recreational water activities, resulting in increased exposure rates. Owing to a moderate Baltic Sea salinity, the risk of V. vulnificus infections is of particular concern.
One of the world’s biggest disasters are wildfires. The firefighting environment involves physical and respiratory risks, due the inhalation of fire smoke. This study aims to determine the respiratory function of firefighters exposed to wildfire smoke and explore the potential risk factors associated with poor respiratory function. The sample involved 53 firefighters, aged between 23 and 60 years (39.28 ± 8.71), 41 (77.40%) male and 12 (22.60%) female, who fought in wildfires. The measurement instruments used were as follows: a scale, a stadiometer, a questionnaire, a Fagerstrom test and a spirometer. Thirty-six (67.9%) firefighters showed a restrictive pattern. Firefighters fought between 1 and 9 (3.64 ± 1.97) fires and in total between 5 and 212 (62.34 ± 46.89) h. Nineteen (52.8%) firefighters, who showed a restrictive pattern, did not perform any physical exercise (p = 0.045). Twelve (70.6%) firefighters who practiced exercise and revealed a restrictive pattern trained at least 3 or less hours weekly, whilst five (29.4%) practiced more than 3 h (p = 0.030) of weekly exercise. Twenty (55.6%) firefighters with a restrictive pattern spent more than 48 h in combat (p = 0.029) and twenty-two (61.1%) did not use any respiratory protection (p = 0.011). The study data showed that occupational exposure to wildfire smoke was associated with the development of a restrictive pattern and associated factors included a sedentary lifestyle, limited duration of physical exercise, longer exposure to fire smoke and non-use of respiratory protection.
INTRODUCTION: Flood as the most common kind of the natural disasters has unpleased short, medium, and long-term consequences on the victims’ welfare, relationships, and physical and mental health. One of the most common mental health disorders in these victims is Post-traumatic stress disorder (PTSD). The aim of this study is to investigate the prevalence of PTSD on the flood victims. METHODS: Data resources including PubMed, Scopus, Web of Science, Science Direct, Embase, Google Scholar, conference and congress papers, key journals, the reference list of selected articles as well as systematic reviews were searched to identify studies that reported the prevalence of PTSD in flood victims. Random Effect Model was used to perform meta-analysis of the studies. Cochran test and I(2) indicator were used to explore heterogeneity between the studies. Publication bias of the study was evaluated using Begg’test. Data were analyzed by STATA (version 14) software. RESULTS: After a comprehensive search, 515 papers were extracted. After eliminating duplicates and final screening, 23 studies were selected and entered the meta-analysis phase after qualitative evaluation. The results showed that the prevalence of PTSD in flood victims is 29.48% (95% CI: 18.64-40.31, I(2) = 99.3%, p-value < 0.001). CONCLUSION: The results of the present study showed that the prevalence of PTSD is relatively high in the flood victims. So, it is necessary to take preventive, supportive, therapeutic and effective actions for them.
Throughout history, accidental hypothermia has accompanied natural disasters in cold, temperate, and even subtropical regions. We conducted a non-systematic review of the causes and means of preventing accidental hypothermia after natural disasters caused by avalanches, earthquakes, tsunamis, and floods. Before a disaster occurs, preventive measures are required, such as accurate disaster risk analysis for given areas, hazard mapping and warning, protecting existing structures within hazard zones to the greatest extent possible, building structures outside hazard zones, and organising rapid and effective rescue. After the event, post hoc analyses of failures, and implementation of corrective actions will reduce the risk of accidental hypothermia in future disasters.
ABSTRACT: Ticks represent important vectors and reservoirs of pathogens, causing a number of diseases in humans and animals, and significant damage to livestock every year. Modern research into protection against ticks and tick-borne diseases focuses mainly on the feeding stage, i.e. the period when ticks take their blood meal from their hosts during which pathogens are transmitted. Physiological functions in ticks, such as food intake, saliva production, reproduction, development, and others are under control of neuropeptides and peptide hormones which may be involved in pathogen transmission that cause Lyme borreliosis or tick-borne encephalitis. According to current knowledge, ticks are not reservoirs or vectors for the spread of COVID-19 disease. The search for new vaccination methods to protect against ticks and their transmissible pathogens is a challenge for current science in view of global changes, including the increasing migration of the human population. HIGHLIGHTS: • Tick-borne diseases have an increasing incidence due to climate change and increased human migration• To date, there is no evidence of transmission of coronavirus COVID-19 by tick as a vector• To date, there are only a few modern, effective, and actively- used vaccines against ticks or tick-borne diseases• Neuropeptides and their receptors expressed in ticks may be potentially used for vaccine design.
BACKGROUND: Climate change is expected to exacerbate diarrhoea outbreaks across the developing world, most notably in Sub-Saharan countries such as South Africa. In South Africa, diseases related to diarrhoea outbreak is a leading cause of morbidity and mortality. In this study, we modelled the impacts of climate change on diarrhoea with various machine learning (ML) methods to predict daily outbreak of diarrhoea cases in nine South African provinces. METHODS: We applied two deep Learning DL techniques, Convolutional Neural Networks (CNNs) and Long-Short term Memory Networks (LSTMs); and a Support Vector Machine (SVM) to predict daily diarrhoea cases over the different South African provinces by incorporating climate information. Generative Adversarial Networks (GANs) was used to generate synthetic data which was used to augment the available data-set. Furthermore, Relevance Estimation and Value Calibration (REVAC) was used to tune the parameters of the ML methods to optimize the accuracy of their predictions. Sensitivity analysis was also performed to investigate the contribution of the different climate factors to the diarrhoea prediction method. RESULTS: Our results showed that all three ML methods were appropriate for predicting daily diarrhoea cases with respect to the selected climate variables in each South African province. However, the level of accuracy for each method varied across different experiments, with the deep learning methods outperforming the SVM method. Among the deep learning techniques, the CNN method performed best when only real-world data-set was used, while the LSTM method outperformed the other methods when the real-world data-set was augmented with synthetic data. Across the provinces, the accuracy of all three ML methods improved by at least 30 percent when data augmentation was implemented. In addition, REVAC improved the accuracy of the CNN method by about 2.5% in each province. Our parameter sensitivity analysis revealed that the most influential climate variables to be considered when predicting outbreak of diarrhoea in South Africa were precipitation, humidity, evaporation and temperature conditions. CONCLUSIONS: Overall, experiments indicated that the prediction capacity of our DL methods (Convolutional Neural Networks) was found to be superior (with statistical significance) in terms of prediction accuracy across most provinces. This study’s results have important implications for the development of automated early warning systems for diarrhoea (and related disease) outbreaks across the globe.
Death rate of dengue fever is low, because dengue fever become severe illness only when second infection happened. However, global warming is getting severe recently, which make the infection distribution of dengue fever different. Common method of previous studies used climate factors combined with social or geographic factors to predict dengue fever. However, recent study did not use combination of these three factors into dengue fever prediction. We proposed a method that combines these three factors with data of Taiwanese dengue fever and uses the secondary area divided by the population as the granularity. Random Forest (RF) and XGBoost (XGB) are used for prediction model of weekly dengue fever infection area. Experimental results showed that the Receiver Operator Characteristic (ROC)/Area Under the Curve (AUC) of RF and XGB are both higher than 93%, and the Recall rate is higher than 80%. With the result, government can determine which area should do disinfection process to reduce the infection rate of dengue infection. Because of accurate prediction and disinfection process, the personnel cost can be reduced and it can prevent waste of medical recourse.
BACKGROUND: Aedes aegypti and Ae. albopictus mosquitoes are major vectors for several human diseases of global importance, such as dengue and yellow fever. Their life cycles and hosted arboviruses are climate sensitive and thus expected to be impacted by climate change. Most studies investigating climate change impacts on Aedes at global or continental scales focused on their future global distribution changes, whereas a single study focused on its effects on Ae. aegypti densities regionally. OBJECTIVES: A process-based approach was used to model densities of Ae. aegypti and Ae. albopictus and their potential evolution with climate change using a panel of nine CMIP6 climate models and climate scenarios ranging from strong to low mitigation measures at the Southeast Asian scale and for the next 80 y. METHODS: The process-based model described, through a system of ordinary differential equations, the variations of mosquito densities in 10 compartments, corresponding to 10 different stages of mosquito life cycle, in response to temperature and precipitation variations. Local field data were used to validate model outputs. RESULTS: We show that both species densities will globally increase due to future temperature increases. In Southeast Asia by the end of the century, Ae. aegypti densities are expected to increase from 25% with climate mitigation measures to 46% without; Ae. albopictus densities are expected to increase from 13%-21%, respectively. However, we find spatially contrasted responses at the seasonal scales with a significant decrease in Ae. albopictus densities in lowlands during summer in the future. DISCUSSION: These results contrast with previous results, which brings new insight on the future impacts of climate change on Aedes densities. Major sources of uncertainties, such as mosquito model parametrization and climate model uncertainties, were addressed to explore the limits of such modeling. https://doi.org/10.1289/EHP11068.
Malaria occurrence is highly related to the geographical distribution of Anopheles dirus (An. dirus) in the South-East Asia Region and Western Pacific Region (SEAR/WPR). Future climate change has been shown to alter the geographical distribution of malaria vectors. However, few studies have investigated the impact of climate change on the potential distribution of An. dirus in the SEAR/WPR. We considered future climate and land-use data under two climate change scenarios for Representative Concentration Pathways (RCP 4.5 and RCP 8.5) and population data from five Shared Socioeconomic Pathways (SSPs), by using three machine learning models, namely, Random Forest (RF), Boosted Regression Trees (BRT), and Maximum entropy (Maxent) to project the geographical distribution of An. Dirus and to estimate the exposed population. A pseudo-absence dataset was generated based on the relationships between model performance and the distance from the pseudo-absence point to the occurrence point in order to improve model accuracy for projection of the Environmentally Suitable Area (ESA) and exposed human population. The results show that the pseudo-absence data corresponding to the distance of 250 km are appropriate for modeling. The RF method ultimately proved to have the highest accuracy. The predicted ESA of An. dirus would mainly be distributed across Myanmar, Thailand, the southern and eastern part of India, Vietnam, the northern part of Cambodia, and the southern part of Laos. The future ESA is estimated to be reduced under the RCP 4.5 climate change scenario. In the 2070s under RCP 8.5, the reduction of ESA is even greater, especially in Thailand (loss of 35.49 10,000 square kilometers), Myanmar (26.24), Vietnam (17.52), and India (15), which may prevent around 282.6 million people from the risk of malaria under the SSP3 scenarios in the SEAR/WPR. Our predicted areas and potential impact groups for An. dirus under future climate change may provide new insights into regional malaria transmission mechanisms and deployment of malaria control measures based on local conditions in the SEAR/WPR’s.
The distribution of disease vectors such as mosquitoes is changing. Climate change, invasions and vector control strategies all alter the distribution and abundance of mosquitoes. When disease vectors undergo a range shift, so do disease burdens. Predicting such shifts is a priority to adequately prepare for disease control. Accurate predictions of distributional changes depend on how factors such as temperature and competition affect mosquito life-history traits, particularly body size and reproduction. Direct estimates of both body size and reproduction in mosquitoes are logistically challenging and time-consuming, so the field has long relied upon linear (isometric) conversions between wing length (a convenient proxy of size) and reproductive output. These linear transformations underlie most models projecting species’ distributions and competitive interactions between native and invasive disease vectors. Using a series of meta-analyses, we show that the relationship between wing length and fecundity are nonlinear (hyperallometric) for most mosquito species. We show that whilst most models ignore reproductive hyperallometry (with respect to wing length), doing so introduces systematic biases into estimates of population growth. In particular, failing to account for reproductive hyperallometry overestimates the effects of temperature and underestimates the effects of competition. Assuming isometry also increases the potential to misestimate the efficacy of vector control strategies by underestimating the contribution of larger females in population replenishment. Finally, failing to account for reproductive hyperallometry and variation in body size can lead to qualitative errors via the counter-intuitive effects of Jensen’s inequality. For example, if mean sizes decrease, but variance increases, then reproductive outputs may actually increase. We suggest that future disease vector models incorporate hyperallometric relationships to more accurately predict changes in mosquito distribution in response to global change.
The risk of the mosquito-borne diseases malaria, dengue fever and Zika virus is expected to shift both temporally and spatially under climate change. As climate change projections continue to improve, our ability to predict these shifts is also enhanced. This paper predicts transmission suitability for these mosquito-borne diseases, which are three of the most significant, using the most up-to-date climate change projections. Using a mechanistic methodology, areas that are newly suitable and those where people are most at risk of transmission under the best- and worst-case climate change scenarios have been identified. The results show that although transmission suitability is expected to decrease overall for malaria, some areas will become newly suitable, putting naïve populations at risk. In contrast, transmission suitability for dengue fever and Zika virus is expected to increase both in duration and geographical extent. Although transmission suitability is expected to increase in temperate zones for a few months of the year, suitability remains focused in the tropics. The highest transmission suitability in tropical regions is likely to exacerbate the intense existing vulnerability of these populations, especially children, to the multiple consequences of climate change, and their severe lack of resources and agency to cope with these impacts and pressures. As these changes in transmission suitability are amplified under the worst-case climate change scenario, this paper makes the case in support of enhanced and more urgent efforts to mitigate climate change than has been achieved to date. By presenting consistent data on the climate-driven spread of multiple mosquito-borne diseases, our work provides more holistic information to underpin prevention and control planning and decision making at national and regional levels.
Leptospirosis, the infectious disease caused by a spirochete bacteria, is a major public health problem worldwide. In Argentina, some regions have climatic and geographical characteristics that favor the habitat of bacteria of the Leptospira genus, whose survival strongly depends on climatic factors, enhanced by climate change, which increase the problems associated with people’s health. In order to have a method to predict leptospirosis cases, in this paper, five time series forecasting methods are compared: two parametric (autoregressive integrated moving average and an alternative one that allows covariates, ARIMA and ARIMAX, respectively), two nonparametric (Nadaraya-Watson Kernel estimator, one and two kernels versions, NW-1 K and NW-2 K), and one semiparametric (semi-functional partial linear regression, SFPLR) method. For this, the number of cases of leptospirosis registered from 2009 to 2020 in three important cities of northeastern Argentina is used, as well as hydroclimatic covariates related to the presence of cases. According to the obtained results, there is no method that improves considerably the rest and can be recommended as a unique tool for leptospirosis prediction. However, in general, the NW-2 K method gets a better performance. This work, in addition to using a long-term high-quality time series, enriches the area of applications of statistical models to epidemiological leptospirosis data by the incorporation of hydroclimatic variables, and it is recommended directing further efforts in this line of research, under the context of current climate change.
The recent increase in the global incidence of dengue fever resulted in over 2.7 million cases in Latin America and many cases in Southeast Asia and has warranted the development and application of early warning systems (EWS) for futuristic outbreak prediction. EWS pertaining to dengue outbreaks is imperative; given the fact that dengue is linked to environmental factors owing to its dominance in the tropics. Prediction is an integral part of EWS, which is dependent on several factors, in particular, climate, geography, and environmental factors. In this study, we explore the role of increased susceptibility to a DENV serotype and climate variability in developing novel predictive models by analyzing RT-PCR and DENV-IgM confirmed cases in Singapore and Honduras, which reported high dengue incidence in 2019 and 2020, respectively. A random-sampling-based susceptible-infected-removed (SIR) model was used to obtain estimates of the susceptible fraction for modeling the dengue epidemic, in addition to the Bayesian Markov Chain Monte Carlo (MCMC) technique that was used to fit the model to Singapore and Honduras case report data from 2012 to 2020. Regression techniques were used to implement climate variability in two methods: a climate-based model, based on individual climate variables, and a seasonal model, based on trigonometrically varying transmission rates. The seasonal model accounted for 98.5% and 92.8% of the variance in case count in the 2020 Singapore and 2019 Honduras outbreaks, respectively. The climate model accounted for 75.3% and 68.3% of the variance in Singapore and Honduras outbreaks respectively, besides accounting for 75.4% of the variance in the major 2013 Singapore outbreak, 71.5% of the variance in the 2019 Singapore outbreak, and over 70% of the variance in 2015 and 2016 Honduras outbreaks. The seasonal model accounted for 14.2% and 83.1% of the variance in the 2013 and 2019 Singapore outbreaks, respectively, in addition to 91% and 59.5% of the variance in the 2015 and 2016 Honduras outbreaks, respectively. Autocorrelation lag tests showed that the climate model exhibited better prediction dynamics for Singapore outbreaks during the dry season from May to August and in the rainy season from June to October in Honduras. After incorporation of susceptible fractions, the seasonal model exhibited higher accuracy in predicting outbreaks of higher case magnitude, including those of the 2019-2020 dengue epidemic, in comparison to the climate model, which was more accurate in outbreaks of smaller magnitude. Such modeling studies could be further performed in various outbreaks, such as the ongoing COVID-19 pandemic to understand the outbreak dynamics and predict the occurrence of future outbreaks.
Urban warming has become increasingly serious in recent years. Especially in the case of hot summer days (with maximum daily temperature greater than 30C), the number of people suffering from heat stroke increases every year. To mitigate urban warming and adapt to it, many researchers have focused on improving outdoor thermal comfort. The mean radiant temperature (MRT) is one of the most important variables affecting human thermal comfort in outdoor urban spaces; however, the process of MRT calculation requires a lot of computing power and time. The main objective of this study is the optimization of the back propagation and genetic algorithms on the basis of a multilayer neural network (MLNN), as an alternative to the time-consuming and computationally intensive process for quick MRT prediction. In this research work, a neural network was trained using the relevant weather-related and building morphology-related parameters that may affect the MRT from 2014-2018 as training parameters, the distributions of MRT around buildings in hot summer days of 2019 were predicted using an optimized neural network model. The results show that the mean absolute percentage error (MAPE) and root-mean-square error (RMSE) of the optimized model were lower than 1% and 1C.
BACKGROUND: Rodent infestation is a global biological problem. Rodents are widely distributed worldwide, cause harm to agriculture, forestry, and animal husbandry production and spread a variety of natural focal diseases. In this study, 10 ecological niche models were combined into an ensemble model to assess the distribution of suitable habitats for Rhombomys opimus and to predict the impact of future climate change on the distribution of R. opimus under low, medium and high socioeconomic pathway scenarios of CMIP6. RESULTS: In general, with the exception of extreme climates (2090-SSP585), the current and potential future ranges of R. opimus habitat are maintained at approximately 220 × 10(4) km(2) . In combination with human footprint data, the potential distribution area of R. opimus was found to coincide with areas with a moderate human footprint. In addition, this distribution area will gradually shift to higher-latitude regions, and the suitable habitat area of R. opimus will gradually shrink in China, Iran, Afghanistan, and Turkmenistan while increasing in Mongolia and Kazakhstan. CONCLUSIONS: These results help identify the impact of climate change on the potential distribution of R. opimus and provide supportive information for the development of management strategies to protect against future ecological and human health risks. © 2022 Society of Chemical Industry.
Objective: The environmental crisis we are experiencing is becoming a more popular topic of expert discussion and analysis. Human activity and expansion on the planet are exacerbating climate change and global warming, this, together with the increase in plastic production, and general pollution, posing a threat to our resources, supplies, and survival. This research aims to review what is known about the association between pollution and pregnancy and sensitize experts to women’s education towards healthier behaviors. Mechanism: We chose to focus on the effects of the environment on fetal development and maternal health, considering various studies that highlight the potential consequences of exposure to certain environmental stressors. The paper briefly illustrates the probable mechanisms that, starting from cellular and intracellular damage, determined above all by plastics, lead to chronic activation of the immune system in response to danger and. therefore, to epigenetic modifications at the base of diseases in adulthood. Findings in Brief: We describe the effects of the main pollutants on pregnancy, with particular attention to the role of plastic. Finally, we briefly outline some individual possible solutions to this complex problem. Conclusions: In the era of environmental crisis, becoming aware of the mechanisms behind biological damage resulting from exposure to certain pollutants and plastics, especially in a period as sensitive as pregnancy, should be the driving force behind a change of direction. As physicians, this means educating our patients and recommending individual solutions to reduce the impact of contaminants to provide the best possible environment for women’s and children’s health, especially during the delicate period of pregnancy; but the ultimate solution is to drastically reduce global plastic production and pollution, and to recycle the plastic that is needed anyway.
Sustainable development and climate change mitigation can provide enormous public health benefits via improved air quality, especially in polluted areas. We use the latest state-of-the-art composition-climate model simulations to contrast human exposure to fine particulate matter in Africa under a “baseline” scenario with high material consumption, population growth, and warming to that projected under a sustainability scenario with lower consumption, population growth, and warming. Evaluating the mortality impacts of these exposures, we find that under the low warming scenario annual premature deaths due to PM(2.5) are reduced by roughly 515,000 by 2050 relative to the high warming scenario (100,000, 175,000, 55,000, 140,000, and 45,000 in Northern, West, Central, East, and Southern Africa, respectively). This reduction rises to ∼800,000 by the 2090s, though by that time much of the difference is attributable to the projected differences in population. By contrast, during the first half of the century benefits are driven predominantly by emissions changes. Depending on the region, we find large intermodel spreads of ∼25%-50% in projected future exposures owing to different physics across the ensemble of 6 global models. The spread of projected deaths attributable to exposure to fine particulate matter, including uncertainty in the exposure-response function, are reduced in every region to ∼20%-35% by the non-linear exposure-response function. Differences between the scenarios have an even narrower spread of ∼5%-25% and are highly statistically significant in all regions for all models. These results provide valuable information for policy-makers to consider when working toward climate change mitigation and sustainable development goals.
Background: Over 90,000 residents had to be evacuated from Fort McMurray (FMM), Alberta, Canada due to the wildfire that engulfed the city in May 2016. Overall, about 2400 homes or 10% of the housing stock in Fort McMurray were destroyed. The fire consumed about 200,000 hectors of forest, reaching into Saskatchewan. During major disasters, communities’ infrastructure is disrupted, and psychological, economic, and environmental effects are felt for years afterwards. Objective: Five years after the wildfire disaster, this study assessed the prevalence rate of major depressive disorder (MDD) and post-traumatic stress disorder (PTSD) in Fort McMurray residents and determined the demographic, clinical, and other risk factors of probable MDD and PTSD. Methodology: A quantitative cross-sectional survey was conducted to collect data through an online questionnaire administered via REDCap between 24 April and 2 June 2021. The Patient Health Questionnaire (PHQ-9) was used to assess the presence of MDD symptoms in respondents. The PTSD Checklist for DSM-5 (PCL-C) was used to assess likely PTSD in respondents. Descriptive, univariate, and multivariate regression analyses were employed. Results: 186 out of 249 individuals who accessed the survey link completed it (74.7% response rate). The median age of the subscribers was 42. The sample included a majority of 159 (85.5%) females; 98 (52.7%) > 40 years of age; 175 (94.1%) employed; and 132 (71%) in a relationship. The overall prevalence of MDD symptoms in our study sample was 45.0% (76). Four variables independently predicted MDD symptoms in the multivariate logistic regression model, including: unemployed (OR = 12.39; 95% CI: 1.21−126.37), have received a mental diagnosis of MDD (OR = 4.50; 95% CI: 1.57−12.92), taking sedative-hypnotics (OR = 5.27; 95% CI: 1.01−27.39), and willingness to receive mental health counseling (OR = 4.90; 95% CI: 1.95−12.31). The prevalence of likely PTSD among our respondents was 39.6% (65). Three independent variables: received a mental health depression diagnosis from a health professional (OR = 4.49; 95% CI: 1.40−14.44), would like to receive mental health counseling (OR = 4.36, 95% CI: 1.54−12.34), and have only limited or no support from family (OR = 11.01, 95% CI: 1.92−63.20) contributed significantly to the model for predicting likely PTSD among respondents while controlling the other factors in the regression model. Conclusions: According to this study, unemployment, taking sleeping pills, having a prior depression diagnosis, and the willingness to receive mental health counseling significantly increase the odds of having MDD and PTSD following wildfires. Family support may protect against the development of these conditions.
BACKGROUND: The global prevalence of childhood obesity has risen dramatically recently. Previous studies found an association between rapid infant weight gain and childhood overweight. Evidence suggests that exposure to high ambient air temperatures during prenatal life and during adulthood is associated with birthweight and obesity respectively. OBJECTIVE: The objective of this study was to examine whether exposure to high ambient temperatures during infancy is associated with rapid infant weight gain in Israel. METHODS: This is a population-based historical cohort study using data from the Israeli national public network of maternal and child health clinics between 2008 and 2013. We assessed exposure to ambient temperature in the first year of life using a high-resolution hybrid spatio-temporal model and calculated annual mean and minimum temperatures for each infant based on daily mean and minimum temperatures at the community clinic location. We defined rapid infant weight gain as a World Health Organization weight z-score difference >0.67 between birthweight and weight at age one year. We estimated these associations using log-linear and general additive models and adjusted for population group, district, maternal age, parental education, parity, sex, gestational age, birthweight, calendar year and calendar month of birth. RESULTS: The study population included 217,310 singleton-term infants. Adjusted models demonstrated a positive association between ambient temperature exposure and rapid infant weight gain. Compared to the third quintile of minimum temperature, infants exposed to the first and second quintile had an adjusted relative risk of 0.98 (95% CI 0.96, 1.00) and 0.97 (95% CI 0.95, 0.98), respectively, while those exposed to the fourth and fifth quintiles had an adjusted relative risk of 1.06 (95% CI 1.04, 1.07) and 1.02 (95% CI 1.00, 1.04) respectively. The associations with mean temperature were similar but slightly weaker. CONCLUSIONS: Exposure to higher ambient temperatures, of emerging importance in the climate change era, is associated with rapid infant weight gain in Israel. Future studies should use additional exposure, covariate, and outcome data to analyse the nature and the source of this association in more detail.
Person-centered analyses may be applied to identify latent homogeneous subgroups of posttraumatic stress disorder (PTSD) symptoms. The evidence suggests three to five class/profile solutions that are distinct in a quantitative and/or qualitative way. This study aimed to examine the evidence for different profiles of PTSD symptoms among a Polish sample exposed to road accidents and floods and to verify different predictors of profile membership: demographic and trauma-related variables, temperamental traits according to Jan Strelau’s Regulative Theory of Temperament, and cognitive factors. Data from 572 participants, aged between 18 and 85 years were included. The latent profile analysis indicated five profiles: low symptom; intermediate symptom with higher negative affect; intermediate symptom with low negative affect, higher avoidance, and anxiety; elevated symptom; and high symptom. Multinomial logistic regression analysis revealed significant predictors of profile membership: temperamental trait – emotional reactivity, trauma exposure aspect physical injuries, and three cognitive strategies of affect regulation: minimizing importance, thought suppression/mental distraction, and mental disengagement. Profiles differing not only in symptom severity, but also in the intensity of specific symptom clusters were obtained. Their diversity may be related to pre-, peri-, and post-traumatic factors of temperamental, trauma-related, and cognitive nature.
OBJECTIVE: Various theories have been proposed to elucidate the mechanisms underlying the effect of parental posttraumatic stress symptoms (PTSSs) on their children. However, these theories focused on unique mechanisms for some factors and overlooked the combined role of different factors. This study aimed to construct a broad theoretical framework to comprehensively understand the mechanisms underlying the effect of parents’ PTSSs on adolescents. We examined the combined role of parental PTSSs and marital conflict, and adolescents’ self-differentiation, psychological inflexibility, and rumination after super typhoon Lekima. METHOD: We used self-report questionnaires to investigate 1,218 parent-adolescent dyads in the area most affected by the disaster 3 months after the typhoon. RESULTS: Parents’ PTSSs had a direct and positive association with adolescents’ PTSSs. We also observed parents’ PTSSs had an indirect relationship with adolescents’ PTSSs through parental marital conflict and adolescents’ self-differentiation, psychological inflexibility, and rumination. CONCLUSIONS: An effect of PTSSs may be found in the dyadic interaction between parents and their children. Children’s psychological and behavioral changes resulting from impaired family relationship functioning exhibited by their posttraumatic parents also play an important role in the interpersonal effect of PTSSs. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
Future projections of malaria transmission is made for Odisha, a highly endemic region of India, through numerical simulations using the VECTRI dynamical model. The model is forced with bias-corrected temperature and rainfall from a global climate model (CCSM4) for the baseline period 1975-2005 and for the projection periods 2020s, 2050s, and 2080s under RCP8.5 emission scenario. The temperature, rainfall, mosquito density and entomological inoculation rate (EIR), generated from the VECTRI model are evaluated with the observation and analyzed further to estimate the future malaria transmission over Odisha on a spatio-temporal scale owing to climate change. Our results reveal that the malaria transmission in Odisha as a whole during summer and winter monsoon seasons may decrease in future due to the climate change except in few districts with the high elevations and dense forest regions such as Kandhamal, Koraput, Raygada and Mayurbhanj districts where an increase in malaria transmission is found. Compared to the baseline period, mosquito density shows decrease in most districts of the south, southwest, central, north and northwest regions of Odisha in 2030s, 2050s and 2080s. An overall decrease in malaria transmission of 20-40% (reduction in EIR) is seen during the monsoon season (June-Sept) over Odisha with the increased surface temperature of 3.5-4 °C and with the increased rainfall of 20-35% by the end of the century with respect to the baseline period. Furthermore, malaria transmission is likely to reduce in future over most of the Odisha regions with the increase in future warm and cold nights temperatures.
The increasing heat stress from the combined effect of changes such as temperature and humidity in the context of global change receives growing concerns. However, there is limited information for future changes in heat stress, as well as its potential socioeconomic impact, under the intended nationally determined mitigation scenarios. This study established an efficient evaluation method to quantify the benefits from the potential heat stress reduction from a continued intended nationally determined contributions (INDC) mitigation effort. The future heat stress over global land, quantified by the wet bulb globe temperature, was investigated based on the temperature sensitivity approach and multi-model simulations from the latest generation global climate models. The INDC continuous-effort scenario and the delayed-effort scenario, as well as the target-control scenarios of 2 degrees C warming, were compared. We found that with the delayed mitigation efforts, the increase in frequency, duration, and cumulative intensity of extreme heat stress relative to the INDC continuous-effort scenario in the late 21st century could reach to 113%, 193%, and 212%, respectively. If more ambitious efforts above current INDC pledges were implemented to achieve the 2 degrees C global temperature goal, the corresponding avoided impact of heat stress frequency, duration, and cumulative intensity in the late 21st century was estimated to be 32%, 37%, and 40%, respectively. Future changes in heat stress in low latitudes, where most developing countries are located, are most sensitive to emission reduction. Our results highlighted the potential avoided heat stress-related impact of global warming from efforts towards climate change mitigation.
In the last two years we have experienced the effects of the COVID-19 pandemic in our lives and hospitals. Pandemics are part of the history of humanity and we can be certain that in the future new pandemics will appear. In fact, due to the growth in the human population, increased travel and global warming, it is to be expected that new pandemic pathogens will arise more frequently than before. Additionally, decreased barriers between animals and humans which will give rise to spillover events which will result in the introduction of new zoonotic pathogens in humans. In each of the parts of this series we will, in a short format, highlight a potential pandemic pathogen and describe its characteristics, history and potential for global pandemics. This part of the series is devoted to the Zika virus (ZIKV). We describe the history of ZIKV, the clinical picture and finally, we conclude with a discussion about the pandemic risk of ZIKV infection.
Many countries have taken stringent climate policies to minimize the risks by climate change. But these policies could burden households and the poor with the extra costs and threaten their wellbeing. However, the consequences of climate policies on poverty and welfare loss are seldom presented in stringent long-term climate change mitigation projections. Carbon pricing is a cost-effective approach; how it affects households varies among countries. This study investigated the distributional effects and poverty implications of carbon pricing in China during the transition towards carbon neutrality and the Paris Agreement’s long-term goals. We assessed multiple poverty and equity standards in future scenarios with a newly developed integrated assessment model. It was found that climate change mitigation efforts would not greatly hinder poverty alleviation in China, with the poverty headcount under the $3.2/cap/day-threshold being less than 0.3 million people in 2050 in most scenarios. A carbon tax became a regressive factor mainly due to price increases in food and energy goods. This indicates that the distributional effects on carbon pricing should be considered. For example, supplementary policies that compensate for price changes, such as subsidies and early mitigation actions, that lead to modest price increases in the long term are worthy of consideration as valid instruments for the just transition towards the 2 degrees C or even 1.5 degrees C pathway.
BACKGROUND: Precipitation variability is a potentially important driver of infectious diseases that are leading causes of child morbidity and mortality worldwide. Disentangling the links between precipitation variability and disease risk is crucial in a changing climate. We aimed to investigate the links between precipitation variability and reported symptoms of infectious disease (cough, fever, and diarrhoea) in children younger than 5 years. METHODS: We used nationally representative survey data collected between 2014 and 2019 from Demographic and Health Survey (DHS) surveys for 32 low-income to middle-income countries in combination with high-resolution precipitation data (via the Climate Hazards Group InfraRed Precipitation with Station dataset). We only included DHS data for which interview dates and GPS coordinates (latitude and longitude) of household clusters were available. We used a regression modelling approach to assess the relationship between different precipitation variability measures and infectious disease symptoms (cough, fever, and diarrhoea), and explored the effect modification of different climate zones and disease susceptibility factors. FINDINGS: Our global analysis showed that anomalously wet conditions increase the risk of cough, fever, and diarrhoea symptoms in humid, subtropical regions. These health risks also increased in tropical savanna regions as a result of anomalously dry conditions. Our analysis of susceptibility factors suggests that unimproved sanitation and unsafe drinking water sources are exacerbating these effects, particularly for rural populations and in drought-prone areas in tropical savanna. INTERPRETATION: Weather shifts can affect the survival and transmission of pathogens that are particularly harmful to young children. As our findings show, the health burden of climate-sensitive infectious diseases can be substantial and is likely to fall on populations that are already among the most disadvantaged, including households living in remote rural areas and those lacking access to safe water and sanitation infrastructure. FUNDING: University of California, San Diego FY19 Center Launch programme.
Driving into floodwater is a leading cause of fatal and non-fatal drowning during times of flood. The present research aimed to understand drivers’ beliefs and intentions in relation to driving into floodwater caused by flash floods in an urban area (Newcastle City, Australia), using the theory of planned behavior as a framework. The study (N = 217) used a survey-based design to identify the psychological processes (attitude, subjective norm, perceived behavioral control, planning, moral norm) underpinning drivers’ intention to avoid driving into floodwater in Newcastle; and to concurrently investigate the potential effects of a brief planning intervention on drivers’ willingness to drive into floodwater in Newcastle. The structural equation model explained 49% of the variance in intention to avoid driving into floodwater in Newcastle, with subjective norm, perceived behavioral control, and planning each significant independent predictors of drivers’ intention to avoid driving into urban floodwater in Newcastle. Paired samples t-tests revealed participants’ willingness to stay at their location and not drive if a flood alert was received, and willingness to drive into floodwater when there is perceived pressure from other drivers, significantly changed after a brief planning intervention. These findings can inform intervention targets and development of prevention strategies targeting personal mitigation measures, particularly in the context of driver behaviour during flash flooding in an urban area.
Atmospheric conditions in any place can affect people’s health. In this regard, this study aimed to investigate the climatic conditions of Tabriz (in northwestern Iran) and their relationship with the admission rate of cardiovascular patients in this city. We sought to predict thermal stresses on the hospital admissions rate of cardiovascular patients for the 2030s to 2059. The results of two climate models of CanESM2 and GFDL and three scenarios of RCP2.6, RCP4.5, and RCP8.5 were used to predict climate changes in the coming decades. In the present study, the physiological equivalent temperature (PET) index was applied to monitor and predict thermal stresses. The findings revealed that the colder the PET class, the higher the average of admissions. Based on all climate models and scenarios, it was found that the increase in hospital admissions for the middle classes of the PET index will be more than that of the extreme classes. On the other hand, the effect of global warming will cause an increase in the number of cardiovascular patients at an average rate of 147 people per year.
Is there any relationship between plant nutrition and human health? The overall response to this question is very positive, and a strong relationship between the nutrition of plants and humans has been reported in the literature. The nutritional status of edible plants consumed by humans can have a negative or positive impact on human health. This review was designed to assess the importance of plant bioactive compounds for human health under the umbrella of sustainable agriculture. With respect to the first research question, it was found that plant bioactives (e.g., alkaloids, carotenoids, flavonoids, phenolics, and terpenoids) have a crucial role in human health due to their therapeutic benefits, and their potentiality depends on several factors, including botanical, environmental, and clinical attributes. Plant bioactives could be produced using plant tissue culture tools (as a kind of agro-biotechnological method), especially in cases of underexploited or endangered plants. Bioactive production of plants depends on many factors, especially climate change (heat stress, drought, UV radiation, ozone, and elevated CO2), environmental pollution, and problematic soils (degraded, saline/alkaline, waterlogged, etc.). Under the previously mentioned stresses, in reviewing the literature, a positive or negative association was found depending on the kinds of stress or bioactives and their attributes. The observed correlation between plant bioactives and stress (or growth factors) might explain the importance of these bioactives for human health. Their accumulation in stressed plants can increase their tolerance to stress and their therapeutic roles. The results of this study are in keeping with previous observational studies, which confirmed that the human nutrition might start from edible plants and their bioactive contents, which are consumed by humans. This review is the first report that analyzes this previously observed relationship using pictorial presentation.
The coronavirus pandemic has acted as a reset on global economies, providing us with the opportunity to build back greener and ensure global warming does not surpass 1.5 °C. It is time for developed nations to commit to red meat reduction targets and shift to plant-based dietary patterns. Transitioning to plant-based diets (PBDs) has the potential to reduce diet-related land use by 76%, diet-related greenhouse gas emissions by 49%, eutrophication by 49%, and green and blue water use by 21% and 14%, respectively, whilst garnering substantial health co-benefits. An extensive body of data from prospective cohort studies and controlled trials supports the implementation of PBDs for obesity and chronic disease prevention. The consumption of diets high in fruits, vegetables, legumes, whole grains, nuts, fish, and unsaturated vegetable oils, and low in animal products, refined grains, and added sugars are associated with a lower risk of all-cause mortality. Meat appreciation, health concerns, convenience, and expense are prominent barriers to PBDs. Strategic policy action is required to overcome these barriers and promote the implementation of healthy and sustainable PBDs.
Hurricane or Cyclone is an extreme environment and climate event that has both long-term and short-term impact, and produces environmental emergency displacement. This study has focused on two devastating cyclone disaster events in the 21st century: Hurricane Katrina in 2005 in the USA and Cyclone Sidr in 2007 in Bangladesh. By using secondary-based research and comparative case study technique, this study focuses on different considerations of governmental policy approaches and responses such as encouraging displacement through resettlement or relocation planning, providing resilience-oriented practices or in-situ adaptation practices; discouraging migration by providing soft policies such as rapid response and distribution plan, insurance, tax policies, incentives etc. in Hurricane Katrina and Cyclone Sidr. By highlighting the above considerations, this study found that developing policy at national level as well as strategic and operational measures at state/local level, integrating rights, resilience and relocation issues with existing relevant policies and programs and active community-based preparedness programs can reduce human displacement from hurricane or cyclone disaster. (C) 2022 The Shanghai Typhoon Institute of China Meteorological Administration. Publishing services by Elsevier B.V.
Airborne pollens are one of the common causative and triggering agents of respiratory allergy in a changing planetary environment. A growing number of people worldwide are contracting allergic diseases caused by pollens. The seasonal variations in pollens have occurred everywhere and the sensitization rate to pollens has increased in children as well as in adults. Moreover, allergenic plants, such as ragweed and Japanese hop, grow in soil damaged by human’s activities and deforestation with air pollution. It is impossible to avoid plants that cause allergies, because pollens can travel many kilometers in the breeze or wind. Hence, it is essential to survey and forecast pollens for the management of pollen allergy. Weather conditions may alter pollen concentrations. A number of studies have shown that increases in CO(2) concentration and atmospheric temperature raise pollen concentration. Hence most of the studies on the impact of climate change on aeroallergens must include the amount and allergenicity of pollens. It is yet unknown whether complex interactions with pollens, meteorological variables, and air pollutants in the changing environment. Considering the effect of climate change on the long-term trends in pollen levels and emerging viral infection, it is crucial to forecast and eliminate the associated risk for human health in future and take appropriate measures to reduce it.
Pollen allergy is considered a major public health problem that causes morbidity and subsequently affects a patient’s quality of life. Pollen due to their large size cannot enter the thoracic regions of the respiratory tract but can affect the nasopharyngeal mucous membrane. At the same time, the submicronic-pollen particles can act as respirable particles reaching deeper into the upper airways leading to exacerbation of asthma, chronic obstructive pulmonary disease (COPD) and other allergic reactions. Based on the existing literature, expanding evidence shows that climate change and air pollutants could affect the pollen number, morphology, season, allergen content, and distribution pattern. Hence, this will influence the prevalence and occurrence of allergies linked to pollen exposure. Being a part of biogenic pollutants, pollen allergens are not expected to diminish in the foreseeable future. Therefore, it is imperative that steps need to be strengthened to improve and optimize preventive/adaptive strategies. This paper aims to review the major causes of widespread allergy, identify the major gaps, and suggest key preventive/adaptive measures to address the onset and exacerbation of pollen-related allergic diseases with a major focus on lower and middle-income countries. The study also discusses how-to implement the prevention and control measures at the individual, health care communities and organizations, Local Governments, National/International Governments levels to decrease the risk of illnesses associated with pollen allergy.
Secondary food allergies due to cross-reactivity between pollen and plant food allergens are a significant and increasingly global health issue. The term ‘pollen-food allergy syndrome’ (PEAS) defines a series of clinical symptoms in pollen-sensitised patients after the ingestion of plant-derived food. The symptoms of PEAS range from localised oral symptoms to severe systemic reactions. The exact prevalence of PEAS is uncertain for various reasons, including a wide geographical distribution and the lack of standardised population-based studies. Three highly conserved protein classes responsible for most PFAS cases are the profilin, the pathogenesis-related protein group 10 (PR-10) and non-specific lipid transfer proteins (nsLTPs). It has been postulated that climate change, pollution and agricultural practices may increase the expression of these and other defence proteins in plants, causing an increase in allergen load exposure. With advances in component-resolved diagnostic testing, the role of these other allergens can now be revealed. The diagnosis of PFAS is multifaceted and includes a comprehensive clinical history focusing on inhalant allergy and potential cross-reactivities combined with different in vitro and in vivo tests. A better understanding of the cross-reacting allergens and their characteristics may create an awareness of this allergy syndrome essential to managing such patients correctly.
The incidences of respiratory allergies are at an all-time high. Pollen aeroallergens can reflect changing climate, with recent studies in Europe showing some, but not all, pollen types are increasing in severity, season duration and experiencing an earlier onset. This study aimed to identify pollen trends in the UK over the last twenty-six years for a range of pollen sites, with a focus on the key pollen types of Poaceae (grass), Betula (birch) and Quercus (oak) and to examine the relationship of these trends with meteorological factors. Betula pollen seasons show no significant trends for onset, first high day or duration but increasing pollen production in the Midlands region of the UK is being driven by warmer temperatures in the previous June and July. Quercus pollen seasons are starting earlier, due to increasing temperature and sunshine totals in April, but are not becoming more severe. The seasons are lasting longer, although no significant climate drivers for this were identified. The first high day of the Poaceae pollen season is occurring earlier in central UK regions due to an increasing trend for all temperature variables in the previous December, January, April, May and June. Severity and duration of the season show no significant trends and are spatially and temporally variable. Important changes are occurring in the UK pollen seasons that will impact on the health of respiratory allergy sufferers, with more severe Betula pollen seasons and longer Quercus pollen seasons. Most of the changes identified were caused by climate drivers of increasing temperature and sunshine total. However, Poaceae pollen seasons are neither becoming more severe nor longer. The reasons for this included a lack of change in some monthly meteorological variables, or land-use change, such as grassland being replaced by urban areas or woodland.
BACKGROUND: Animal pollination supports agricultural production for many healthy foods, such as fruits, vegetables, nuts, and legumes, that provide key nutrients and protect against noncommunicable disease. Today, most crops receive suboptimal pollination because of limited abundance and diversity of pollinating insects. Animal pollinators are currently suffering owing to a host of direct and indirect anthropogenic pressures: land-use change, intensive farming techniques, harmful pesticides, nutritional stress, and climate change, among others. OBJECTIVES: We aimed to model the impacts on current global human health from insufficient pollination via diet. METHODS: We used a climate zonation approach to estimate current yield gaps for animal-pollinated foods and estimated the proportion of the gap attributable to insufficient pollinators based on existing research. We then simulated closing the “pollinator yield gaps” by eliminating the portion of total yield gaps attributable to insufficient pollination. Next, we used an agriculture-economic model to estimate the impacts of closing the pollinator yield gap on food production, interregional trade, and consumption. Finally, we used a comparative risk assessment to estimate the related changes in dietary risks and mortality by country and globally. In addition, we estimated the lost economic value of crop production for three diverse case-study countries: Honduras, Nepal, and Nigeria. RESULTS: Globally, we calculated that 3%-5% of fruit, vegetable, and nut production is lost due to inadequate pollination, leading to an estimated 427,000 (95% uncertainty interval: 86,000, 691,000) excess deaths annually from lost healthy food consumption and associated diseases. Modeled impacts were unevenly distributed: Lost food production was concentrated in lower-income countries, whereas impacts on food consumption and mortality attributable to insufficient pollination were greater in middle- and high-income countries with higher rates of noncommunicable disease. Furthermore, in our three case-study countries, we calculated the economic value of crop production to be 12%-31% lower than if pollinators were abundant (due to crop production losses of 3%-19%), mainly due to lost fruit and vegetable production. DISCUSSION: According to our analysis, insufficient populations of pollinators were responsible for large present-day burdens of disease through lost healthy food consumption. In addition, we calculated that low-income countries lost significant income and crop yields from pollinator deficits. These results underscore the urgent need to promote pollinator-friendly practices for both human health and agricultural livelihoods. https://doi.org/10.1289/EHP10947.
The Lancet Commission on pollution and health reported that pollution was responsible for 9 million premature deaths in 2015, making it the world’s largest environmental risk factor for disease and premature death. We have now updated this estimate using data from the Global Burden of Diseases, Injuriaes, and Risk Factors Study 2019. We find that pollution remains responsible for approximately 9 million deaths per year, corresponding to one in six deaths worldwide. Reductions have occurred in the number of deaths attributable to the types of pollution associated with extreme poverty. However, these reductions in deaths from household air pollution and water pollution are offset by increased deaths attributable to ambient air pollution and toxic chemical pollution (ie, lead). Deaths from these modern pollution risk factors, which are the unintended consequence of industrialisation and urbanisation, have risen by 7% since 2015 and by over 66% since 2000. Despite ongoing efforts by UN agencies, committed groups, committed individuals, and some national governments (mostly in high-income countries), little real progress against pollution can be identified overall, particularly in the low-income and middle-income countries, where pollution is most severe. Urgent attention is needed to control pollution and prevent pollution-related disease, with an emphasis on air pollution and lead poisoning, and a stronger focus on hazardous chemical pollution. Pollution, climate change, and biodiversity loss are closely linked. Successful control of these conjoined threats requires a globally supported, formal science-policy interface to inform intervention, influence research, and guide funding. Pollution has typically been viewed as a local issue to be addressed through subnational and national regulation or, occasionally, using regional policy in higher-income countries. Now, however, it is increasingly clear that pollution is a planetary threat, and that its drivers, its dispersion, and its effects on health transcend local boundaries and demand a global response. Global action on all major modern pollutants is needed. Global efforts can synergise with other global environmental policy programmes, especially as a large-scale, rapid transition away from all fossil fuels to clean, renewable energy is an effective strategy for preventing pollution while also slowing down climate change, and thus achieves a double benefit for planetary health.
Polycyclic aromatic hydrocarbons (PAHs) are a class of chemicals of considerable environmental significance. PAHs are chemical contaminants of fused carbon and hydrogen aromatic rings, basically white, light-yellow, or solid compounds without color. Natural sources of pollution are marginal or less significant, such as volcanic eruptions, natural forest fires, and moorland fires that trigger lightning bursts. The significant determinants of PAH pollution are anthropogenic pollution sources, classified into four groups, i.e., industrial, mobile, domestic, and agricultural pollution sources. Humans can consume PAHs via different routes, such as inhalation, dermal touch, and ingestion. The Effect of PAHs on human health is primarily based on the duration and route of exposure, the volume or concentration of PAHs to which one is exposed, and the relative toxicity of PAHs. Many PAHs are widely referred to as carcinogens, mutagens, and teratogens and thus pose a significant danger to human health and the well-being of humans. Skin, lung, pancreas, esophagus, bladder, colon, and female breast are numerous organs prone to tumor development due to long-term PAH exposure. PAH exposure may increase the risk of lung cancer as well as cardiovascular disease (CVD), including atherosclerosis, thrombosis, hyper-tension, and myocardial infarction (MI). Preclinical studies have found a relationship between PAH exposure, oxidative stress, and atherosclerosis. In addition, investigations have discovered a relationship between PAH exposure at work and CVD illness and mortality development. This review aims to explain PAH briefly, its transportation, its effects on human health, and a relationship between environmental exposures to PAHs and CVD risk in humans.
The political-intellectual project of climate justice (CJ) is diverse in its analyses and proposals. Recently, some sympathetic critics have worried that, together with its often-contentious tenor, this polyvocality renders CJ incoherent and/or ill-suited to legal and policy application. Divergent choices of framing and means do matter, since they entail implications for the development of constituencies, alliances, and political, legal, and/or policy action. This paper argues, however, that rather than incoherence, the variation, fluidity, and complexity of CJ evidence logical adaptations to differing positionalities and circumstances, made necessary by the multiple, geographically varying dimensions of climate injustice. Critical political geographic perspectives (which happen to complement those of many movement adherents) help to expose this adaptive logic. Correspondingly, diverse articulations of CJ and their implications help show how political spaces and ecologies matter in contesting the multiple inequalities and power moves with which climate injustice is intertwined. Moreover, recent public health analyses and testimonies from affected groups suggest that shared experiences of rising, disproportionate climate-related death and other forms of individual and collective loss increasingly underpin and motivate CJ’s multiple forms. The trajectories of compounding loss, still-rising greenhouse gas emissions, and the growing hegemony of CJ in a variety of settings underscore the need for continuing development of extensive solidarities among dispersed and differently positioned affected groups and potential allies. Though other approaches – including those which address climate injustices without naming them as such – may bear fruit, such extensive articulations of CJ are crucial needs that intellectual labor can help to meet.
From the last few centuries, the human population has grown exponentially around the globe, and an increase in affluence has increased resource usage and pollutant emissions. In this respect, investment in renewable energy technologies plays an essential role in fighting against climate change and helps to achieve carbon neutrality targets. However, the pace of population aging is also increasing dramatically, which may require more health expenditures that may affect the renewable energy budgets. In this context, this study investigates the linkage between population aging, health expenditures, renewable energy budgets and carbon dioxide (CO2) emissions in G7 (Group of Seven) countries from 1985 to 2019. The second-generation estimation techniques robust to cross-sectional dependence and slope heterogeneity are used. The findings of Cross-Sectional Autoregressive Distributed Lag (CS-ARDL) depict that population aging and renewable energy budgets enhance the environmental quality of G7 countries by decreasing CO2 emissions. In contrast, health expenditures and economic growth attenuate environmental sustainability. The finding of CS-ARDL is also confirmed by the Augmented Mean Group (AMG) method. The Dumitrescu and Hurlin causality test outcomes indicate the unidirectional causality from population aging and renewable energy to CO2 emissions. There is a feedback effect between health spending, economic growth, and CO2 emissions. Another interesting discovery is that population aging leads to health expenditures and consequently affects renewable energy budgets. We also find that population aging can affect renewable energy budgets directly. In addition, this paper also reveals a bidirectional causal relationship between health expenditures and renewable energy budgets. Finally, drawing on these consequences, this paper proffers some policy recommendations to help G7 countries to achieve climate-related goals. (c) 2022 International Association for Gondwana Research. Published by Elsevier B.V. All rights reserved.
Population aging, an increasing share of the elderly to the total population, can exacerbate heat vulnerability to intensified heat hazards. However, the aging impacts on increases in exposure of the elderly to unprecedented hot summers (UHSs) could be variable in the warming climate. Here, we present considerable contribution of age structure changes to increases in the elders’ exposure to intensified UHSs in countries with a high percentage of youth population, namely, China, India, and Brazil, by analyzing combined scenarios of climate change with population structure. In the aforementioned regions, increases in exposure to stronger UHSs relevant to rapid aging will exceed at least half of the warming impact, which primarily causes frequent occurrence of stronger UHSs. Conversely, the United States and Europe, which have already entered an aged society, show a negligible aging impact. These results suggest that the future evolution of a society’s age structure is an important constraint for projecting population exposure to strengthened summer heat. Plain Language Summary Population aging can worsen social heat tolerance for unprecedented hot summers (UHSs), which will get stronger by future warming. We show that aging will induce considerable increases in the elder’s exposure to stronger UHSs in countries with a high percentage of youth population, such as China, India, and Brazil. In these regions, the growth of elderly exposed to stronger UHSs due to rapid aging will exceed at least half of the warming-induced increase. In contrast, the impacts of aging is negligible in already aged societies, namely, United States and Europe. Future policy to reduce heat vulnerability of society to intensified summer heat should consider the future evolution of a society’s age structure, especially in countries with younger populations.
Little is known on how different types of disasters interact in their impacts on patient care. We experienced a breast cancer patient whose initial presentation was delayed for 2 years due to the COVID-19 pandemic and Typhoon Hagibis. Increasing awareness is needed on the combined impacts of disasters on breast cancer management.
Climate change threatens to impact wheat productivity, quality and global food security. Maintaining crop productivity under abiotic stresses such as high temperature is therefore imperative to managing the nutritional needs of a growing global population. The article covers the current knowledge on the impact of post-anthesis heat on grain yield and quality of wheat crops. The objectives of the current article were to review (1) the effect of post-anthesis heat stress events (above 30.0 degrees C) on wheat grain yield, (2) the effect of heat stress on both the physical and chemical quality of wheat grain during grain development, (3) identify wheat cultivars that display resilience to heat stress and (4) address gaps within the literature and provide a direction for future research. Heat stress events at the post-anthesis stage impacted wheat grain yield mostly at the grain filling stage, whilst the effect on physical and chemical quality was varied. The overall effect of post-anthesis heat on wheat yield and quality was genotype-specific. Additionally, heat tolerance mechanisms were identified that may explain variations in yield and quality data obtained between studies.
The Arctic is currently warming at unprecedented rates because of global climate change, resulting in thawing of large tracts of permafrost soil. A great challenge is understanding the implications of permafrost thaw on human health and the environment. Permafrost is a reservoir of mostly uncharacterized microorganisms and viruses, many of which could be viable. Given our limited knowledge of permafrost-resident microbes, we also lack the basis to judge whether they pose risks to humans, animals, and plants. Here we delve into features of permafrost as a microbial habitat and discuss what is known about the potential for microbial pathogens to emerge in a warming climate as permafrost thaws. This review has broader implications for human health and ecosystem sustainability in the new Arctic environment that will emerge from a thawed permafrost landscape.
Svalbard is facing changes related to climate change and permafrost thaw, which have impacts on the life and well-being of people. This study evaluated impacts of climate change and permafrost thaw on the life of locals living in Longyearbyen, Svalbard and focused on investigating self-rated health, well-being, quality of life, satisfaction with life, and feeling of empowerment when facing the changes and impacts. The aim was to find out which perceived environmental and adaptation factors relate to these dependent variables. The data was collected using a multidisciplinary questionnaire (n = 84); for statistical analysis cross-tabulation was used and the associations were tested either by the Pearson chi 2 test or Fisher’s exact test, when appropriate. Binary logistic regression analysis was used to investigate associations between the dependent variables and perceived environmental and adaptation factors. Results suggested that well-being, quality of life, satisfaction with life, and life balance (a sum variable of earlier parameters) were associated with the recognized challenges related to infrastructure or physical environment. Quality of life and life balance were supported by the opinion that not enough has been done to adapt to permafrost thaw by national and global authorities. Despite recognized challenges, participants appear to live satisfied lives. People seemed to have knowledge about the impacts of permafrost thaw, they wanted to adapt to the changes, but more actions are needed from national and global authorities. Research with a larger sample size is needed due to the complexity of the relationships between people, holistic well-being, and climate change.
OBJECTIVE: There is a growing appreciation that climate change is affecting pediatric mental health, yet research in this field is in its infancy. The authors aimed to interview researchers in this space to identify themes that can help shape curricula and inform mentors guiding trainees entering this research area. METHOD: A literature review was completed within PubMed, PsycINFO, and EMBASE for articles written in English and indexed between January 1, 2016, and August 1, 2021. The first and last authors of relevant articles were invited to be interviewed and to recommend other experts, from which 20 of 74 (27%) eligible participants were recruited. Standardized interviews were conducted virtually, transcribed, and qualitatively analyzed. RESULTS: Participant responses clustered into two domains, each comprising three themes: (1) current and future research: epidemiology and education, interventions, and gaps in research; and (2) barriers: limited funding, psychological resistance, and logistical impediments. Research has been primarily limited to the phenomenology of eco-anxiety, the aftermath of natural disasters, and psychoeducational interventions. Participants provided insights into how the field can become more interventional, overcome psychological resistance among colleagues through education, and improve funding through calls for grants specific to this topic. CONCLUSIONS: This study outlines perspectives on the cutting-edge directions of research in climate mental health for children and impediments to its progress. Generalizability is limited by the small sample of experts interviewed; however, these content experts’ opinions can inform curriculum development and help mentors support mentees hoping to develop research careers in climate mental health.
Climate change and population aging are two of the most important global health challenges in this century. A 2020 study by the Environmental Protection Agency showed that average people, particularly older adults, spent 90% of their time at home. This is even more evident during the coronavirus disease 2019 (COVID-19) pandemic. Home-based care models have become a new trend. The health and comfort of the living environment profoundly impacts the wellbeing of older adults. Therefore, research on the physical environment of the family wards has become an inevitable part of promoting the health of older adults; however, current research is still lacking. Based on the study and analysis of continuous monitoring data related to elements of the physical environment (thermal comfort, acoustic quality, lighting quality, and indoor air quality) of family wards, this paper explores the living behaviors of the participants in this environmental research (open or closed windows, air conditioning, artificial lighting, and television) on the indoor physical environment. (1) While referring to the requirements of international standards for an indoor aging-friendly physical environment, we also discuss and analyze the physical environment parameter values according to Chinese standards. (2) People’s life behaviors have different degrees of influence on the elements of indoor physical environments. For example, opening doors and windows can alleviate the adverse effects of indoor environmental quality on the human body better than simply turning on the air conditioner. (3) Owing to the decline in physical function, older adults need special care. Studying the status quo of physical environmental elements and proposing suitable environmental improvement measures for aging are of great significance. (4) This research aims to address global warming and severe aging and to contribute to sustainable environmental development.
The construction industry is regarded as one of the most highly hazardous industries. Workers are vulnerable to numerous injuries every day due to a lack of efficient safety management at their workplaces, and despite every accident being recorded, efforts with minimum impacts are made to improve the workers’ safety. Construction laborers often have to perform their activities in severe weather, enduring both extremely hot and cold temperatures, and as a result, they are prone to developing various health issues leading to accidents. This paper aims to identify strategies and recommendations to improve the occupational health and safety of construction laborers who work in extreme environments. To achieve the objectives of this study, a survey was developed and distributed among workers through an online platform, which yielded 27 responses, then the collected data were analyzed, and the results were used to devise ways to improve the safety and health of workers. The survey results revealed that construction field workers are unable to perform in extreme temperatures because of the lack of proper cooling and heating systems and that most of them experience physical fatigue while exerting themselves in extreme heat. Such circumstances can be managed, and the workers’ productivity can improve by establishing an efficient plan for rotating the jobs and providing work/rest cycles. The recommendations of this study can be helpful to construction practitioners who strive to improve the physical, mental, and emotional safety and health of those working under extreme temperatures on construction sites.
PURPOSE: Construction worker health and safety is a primary concern for construction companies and researchers. Arabian Gulf region, like Saudi Arabia, has been experiencing extremely hot and humid (EHH) weather, which directly affects construction workers’ health and safety. This study aims to address the problem of EHH weather conditions and their impacts on construction workers’ physiological status. METHODS: This study assesses the impacts of EHH weather on construction workers’ physiological status through the measurement of workers’ physical body parameters (age, height, and weight); type of activities; and assigned tasks. Thirty-five multinational workers participated in the measurements, which were conducted in real construction site conditions A quantitative analysis was then applied to quantify the physiological impacts of the weather conditions. Several hypotheses were tested to identify the significant impacts of individual and working aspects on the workers’ physiological responses. RESULTS AND CONCLUSION: The results provide empirical evidence that the recorded Heart Rate (HR) exceeded the acceptable physiological zones for construction workers exposed to extremely hot and humid weather conditions. Physical body parameters, work activities, and worker status significantly influence construction workers’ physiological responses. This study recommends adopting a continuous monitoring approach as an early warning system under extremely hot and humid weather conditions.
Many populations experience high seasonal temperatures. Pregnant women are considered vulnerable to extreme heat because ambient heat exposure has been linked to pregnancy complications including preterm birth and low birthweight. The physiological mechanisms that underpin these associations are poorly understood. We reviewed the existing research evidence to clarify the mechanisms that lead to adverse pregnancy outcomes in order to inform public health actions. A multi-disciplinary expert group met to review the existing evidence base and formulate a consensus regarding the physiological mechanisms that mediate the effect of high ambient temperature on pregnancy. A literature search was conducted in advance of the meeting to identify existing hypotheses and develop a series of questions and themes for discussion. Numerous hypotheses have been generated based on animal models and limited observational studies. There is growing evidence that pregnant women are able to appropriately thermoregulate; however, when exposed to extreme heat, there are a number of processes that may occur which could harm the mother or fetus including a reduction in placental blood flow, dehydration, and an inflammatory response that may trigger preterm birth. There is a lack of substantial evidence regarding the processes that cause heat exposure to harm pregnant women. Research is urgently needed to identify what causes the adverse outcomes in pregnancy related to high ambient temperatures so that the impact of climate change on pregnant women can be mitigated.
Climate change represents a threat to life; as such, it is associated with psychological disorders. The subjective perceptions of life impacts from different traumatic experiences develop understanding and the enable predictions of future consequences. This psychological impact also tends to increase the risk perception of climate change and the intention to prevent it. Greater emphasis on place identity can promote resilience and prevent psychological distress. The aim of this descriptive cross-sectional study is to describe the ontological life impact of fires, based on socio-demographic variables, risk perception, self-perceived resistance (SPR), and place identity. The sample consisted of 210 residents of areas affected by forest fires in Gran Canaria (Spain), who answered a questionnaire consisting of multiple scales and an assessment of the traumatic experience through the VIVO (Spanish initials of Ontological Vital Impact Assessment) questionnaire. The clustering of areas according to SPR and neighbourhood was considered a new variable, referred to as territorial resistance. This variable was useful in describing the different profiles of ontological life impacts and risk perceptions. The ontological life impact of the extreme experience differed between unaffected and affected people. Feeling that they had been judged for the occurrence was associated with lower psychological adjustment and a greater perception of control over the risk. Control also increased with place identity and the number of experiences. Emphasising risk, recognising the local knowledge of residents, and including them in decision-making and future action plans contributes to a sense of community, and thus, can improve coping.
COVID-19 can be characterized as an outcome of degraded planetary health drivers in complex systems and has wide-reaching implications in social, economic and environmental realms. To understand the drivers of planetary health that have influences of emergence and spread of COVID-19 and their implications for sustainability systems thinking and a narrative literature review are deployed. In particular, sixteen planetary health drivers are identified, i.e., population growth, climate change, agricultural intensification, urbanization, land use and land cover change, deforestation, biodiversity loss, globalization, wildlife trade, wet markets, non-planetary health diet, antimicrobial resistance, air pollution, water stress, poverty and weak governance. The implications of COVID-19 for planetary health are grouped in six categories: social, economic, environmental, technological, political, and public health. The implications for planetary health are then judged to see the impacts with respect to sustainable development goals (SDGs). The paper indicates that sustainable development goals are being hampered due to the planetary health implications of COVID-19.
Climate change is one of the greatest global threats for planetary and human health. This leads to new challenges for public health. Hospitals emit large amounts of greenhouse gases (GHG) in their healthcare delivery through transportation, waste and other resources and are considered as key players in reducing healthcare’s environmental footprint. The aim of this scoping review is to provide the state of research on hospitals’ carbon footprint and to determine their contribution to mitigating emissions. We conducted a systematic literature search in three databases for studies related to measurement and actions to reduce GHG emissions in hospitals. We identified 21 studies, the oldest being published in 2012, and the most recent study in 2021. Eight studies focused on GHG emissions hospital-wide, while thirteen studies addressed hospital-based departments. Climate actions in the areas of waste and transportation lead to significant reductions in GHG emissions. Digital transformation is a key factor in implementing climate actions and promoting equity in healthcare. The increasing number of studies published over time indicates the importance of the topic. The results suggest a need for standardization of measurement and performance indicators on climate actions to mitigate GHG emissions.
The emerging concept of planetary health needs to be discussed in a more organized and sustainable way within the global public health and healthcare disciplines. Therefore, planetary health should be considered a cardinal component of the global academic framework for healthcare professionals. The availability of related curricula and courses is crucial to equip health professionals in this relatively new discipline of planetary health. In this review article, we aimed to explore published articles and online databases of courses to summarize the available planetary health education opportunities and discussions for health professionals, to identify the gaps in resource allocation and to suggest future recommendations. We observed a visible resource inequity in the global south with the lack of a universal planetary health module for healthcare professionals. Additionally, there is minimal inclusion of allied health disciplines in this learning process. We therefore recommend a dedicated network of motivated healthcare professionals and regional hubs with an agenda to ensure a comprehensive, uniform, and inclusive planetary health education curriculum and practice.
ISSUE ADDRESSED: Multiple interconnected drivers threaten the health and wellbeing of humans and the environment, including biodiversity loss, climate change, pollution, rapid urbanisation and displacement. This requires enhanced literacy on health of the environment and innovation in problem conceptualisation and cross-sectoral solutions. Contemporary mandates (eg, Ottawa Charter) task health promoters to tackle the human and environmental health crisis. To address the complex determinants across multiple settings, health promotion graduates require competencies in interdisciplinary collaboration grounded in systems thinking. They also require knowledge and agility to leverage multiple gains from health promotion action that benefits people and planet. Similarly, health promotion practitioners are currently aware of the need for skills to deliver co-benefits to people and planet. Planetary health, as theory and framework, provides a socio-ecological focus, systems thinking approach, co-benefits framework for action and foundational basis to enhance health promotion graduates’ skills and competencies to address multiple health and planetary challenges. To date, there have been limited practical attempts to address these challenges. METHOD: A desktop review and synthesis of teaching and learning scholarship in planetary health were coupled with iterative critical reflections of teaching practice, and the use of two case studies, to illuminate innovations in health promotion competencies. RESULTS: Two examples of how planetary health promotion challenges are addressed through teaching and learning scholarship are presented to illustrate the use of a tailored sustainability tool and a deliberative interdisciplinary approach to collaboration, delivered within a course that constructively aligns curriculum content and assessment. CONCLUSION: A bespoke model, the Sustainability Wheel of Fortune, combined with constructive interactive teaching approaches, adds interdisciplinary collaboration and systems thinking approaches to the knowledge and practice of planetary health. A postgraduate microcredential fast-tracks knowledge and skills acquisition for recent graduates and established practitioners interested in upskilling for planning planet and population health co-benefits. SO WHAT?: The Sustainability Wheel of Fortune provides health promotion students with a model for understanding, and addressing, complex global and local challenges. The microcredential builds on health promotion competencies to develop interdisciplinary and systems-based approaches to planetary health challenges.
Circadian rhythms are a series of endogenous autonomous oscillators that are generated by the molecular circadian clock which coordinates and synchronizes internal time with the external environment in a 24-h daily cycle (that can also be shorter or longer than 24 h). Besides daily rhythms, there exist as well other biological rhythms that have different time scales, including seasonal and annual rhythms. Circadian and other biological rhythms deeply permeate human life, at any level, spanning from the molecular, subcellular, cellular, tissue, and organismal level to environmental exposures, and behavioral lifestyles. Humans are immersed in what has been called the “circadian landscape,” with circadian rhythms being highly pervasive and ubiquitous, and affecting every ecosystem on the planet, from plants to insects, fishes, birds, mammals, and other animals. Anthropogenic behaviors have been producing a cascading and compounding series of effects, including detrimental impacts on human health. However, the effects of climate change on sleep have been relatively overlooked. In the present narrative review paper, we wanted to offer a way to re-read/re-think sleep medicine from a planetary health perspective. Climate change, through a complex series of either direct or indirect mechanisms, including (i) pollution- and poor air quality-induced oxygen saturation variability/hypoxia, (ii) changes in light conditions and increases in the nighttime, (iii) fluctuating temperatures, warmer values, and heat due to extreme weather, and (iv) psychological distress imposed by disasters (like floods, wildfires, droughts, hurricanes, and infectious outbreaks by emerging and reemerging pathogens) may contribute to inducing mismatches between internal time and external environment, and disrupting sleep, causing poor sleep quantity and quality and sleep disorders, such as insomnia, and sleep-related breathing issues, among others. Climate change will generate relevant costs and impact more vulnerable populations in underserved areas, thus widening already existing global geographic, age-, sex-, and gender-related inequalities.
Solar ultraviolet (UV) radiation exposure is the primary etiological agent responsible for developing cutaneous malignancies. Avoiding excessive radiation exposure, especially by high-risk groups, is recommended to prevent UV-induced photo-pathologies. However, optimal sun exposure is essential for the healthy synthesis of about 90% of vitamin D levels in the body. Insufficient exposure to UV-B is linked to vitamin D deficiency in humans. Therefore, optimal sun exposure is necessary for maintaining a normal state of homeostasis in the skin. Humans worldwide face a major existential threat because of climate change which has already shown its effects in several ways. Over the last 4 to 5 decades, increased incidences in skin cancer cases have led international health organizations to develop strong sun protection measures. However, at the same time, a growing concern about vitamin D deficiency is creating a kind of exposure dilemma. Current knowledge of UV exposure to skin outweighs the adverse effects than the beneficial roles it offers to the body, necessitating a correct public health recommendation on optimal sun exposure. Following an appropriate recommendation on optimal sun exposure will lead to positive outcomes in protecting humans against the adverse effects of strict recommendations on sun protection measures. In this short review, we spotlight the ambivalent health effects of UV exposure and how ozone layer depletion has influenced these effects of UVR. Further, our aim remains to explore how to lead towards a balanced recommendation on sun protection measures to prevent the spurt of diseases due to inadequate exposure to UV-B.
Evidence for an association between the amount of particulate matter (PM) in the atmosphere and vitamin D status of pregnant women is limited. We aimed to examine the independent association between PM and maternal levels of serum 25-hydroxyvitamin D (25OHD) during the second trimester and to explore possible modifications to the association by meteorological factors. 27,768 pregnant women presenting for prenatal examination who were tested for serum 25OHD concentration during the second trimester between January 1, 2016, and December 31, 2020, were included in this retrospective analysis. Exposure to PM was evaluated based on daily average PM with an aerodynamic diameter of ≤ 2.5 μm (PM(2.5)) and PM with an aerodynamic diameter of ≤ 10 μm (PM(10)). Corresponding meteorological data for daily average atmospheric temperature, atmospheric pressure, relative humidity, sunshine duration, and wind speed were collected. The maximum cumulative effects of PM(2.5) occurred at lag 45 days, and the maximum cumulative effects of PM(10) occurred at lag 60 days. In crude models, 45-day moving daily average PM(2.5) concentrations were negatively associated with 25OHD levels (β, - 0.20; 95% CI - 0.21 to - 0.19), as were 60-day moving daily average PM(10) concentrations (β, - 0.14; 95% CI - 0.15 to - 0.14). After adjusting for temporal and meteorological factors, the effect values were drastically reduced (adjusted β of PM(2.5), - 0.032; 95% CI - 0.046 to - 0.018; adjusted β of PM(10), - 0.039; 95% CI - 0.049 to - 0.028). Our study showed there was a small, independent, negative association between PM in the atmosphere and maternal serum 25OHD levels during the second trimester of pregnancy after adjusting for temporal and/or meteorological factors, which indicates that PM may have a limited influence on maternal serum 25OHD levels. Besides taking vitamin D supplements, pregnant women should keep participating in outdoor activities while taking PM protection measures to improve their vitamin D levels when PM levels are high in winter and spring.
Children (<5 years) are highly vulnerable during hot weather due to their reduced ability to thermoregulate. There has been limited quantification of the burden of climate change on health in sub-Saharan Africa, in part due to a lack of evidence on the impacts of weather extremes on mortality and morbidity. Using a linear threshold model of the relationship between daily temperature and child mortality, we estimated the impact of climate change on annual heat-related child deaths for the current (1995-2020) and future time periods (2020-2050). By 2009, heat-related child mortality was double what it would have been without climate change; this outweighed reductions in heat mortality from improvements associated with development. We estimated future burdens of child mortality for three emission scenarios (SSP119, SSP245 and SSP585), and a single scenario of population growth. Under the high emission scenario (SSP585), including changes to population and mortality rates, heat-related child mortality is projected to double by 2049 compared to 2005-2014. If 2050 temperature increases were kept within the Paris target of 1.5 degrees C (SSP119 scenario), approximately 4000-6000 child deaths per year could be avoided in Africa. The estimates of future heat-related mortality include the assumption of the significant population growth projected for Africa, and declines in child mortality consistent with Global Burden of Disease estimates of health improvement. Our findings support the need for urgent mitigation and adaptation measures that are focussed on the health of children.
OBJECTIVE: The objective of this study was to investigate the relationship between ambient temperature and common viral and bacterial gastroenteritis in the Republic of Korea, which has a high-income and temperate climate, considering the different lagged effects of each causative pathogen. METHODS: We obtained the number of weekly reported cases of infectious gastroenteritis caused by norovirus, group A rotavirus, enteric adenovirus, Clostridium perfringens, non-typhoidal Salmonella, and Campylobacter between 2015 and 2019 from the Korean Infectious Diseases Sentinel Surveillance System. We obtained weather data from the Korea Meteorological Administration for the same period. Generalized linear models with quasi-Poisson distributions and distributed lag non-linear models were utilized after adjusting for relative humidity, precipitation, long-term trends, and seasonality. We investigated the associations between weekly mean temperature and the weekly number of reported cases of each type of infectious gastroenteritis by applying different maximum lags for each type. RESULTS: Compared with the 50th percentile temperature, the lag-cumulative relative risks (RRs) with 95% confidence intervals (CIs) at the 5th percentile temperature for norovirus gastroenteritis, rotavirus gastroenteritis, adenovirus gastroenteritis were 11.0 (4.7-25.7), 2.7 (1.4-5.2), and 4.7 (1.4-15.8) by applying the maximum lag of 6, 4, and 3 weeks, respectively. Compared with the 50th percentile temperature, the lag-cumulative RRs with 95% CIs at the 95th percentile temperature for C. perfringens gastroenteritis, Salmonella gastroenteritis, and Campylobacter gastroenteritis were 1.2 (0.8-1.9), 3.0 (1.5-6.2), and 2.0 (1.1-3.6), by applying the maximum lag of 2, 3, and 2 weeks, respectively. CONCLUSIONS: Cold temperature increased the risk of viral gastroenteritis and showed relatively long lagged effects. Hot temperature increased the risk of bacterial gastroenteritis and showed relatively short lagged effects.
Chill blains or perniosis occurs in exposed body parts in extreme cold climate. It usually affects the tip of the upper limb, lower limb, tip of the nose or the ear lobules. It rarely occurs in the covered body parts. Chill blain usually affects the females. There are reports of occurrence of chill blains in unusual area which are covered. This case report is of a young male presenting as chill blain over the penile region. A 27-year-old male patient reported of pain and swelling of penile shaft following exposure to extreme cold climate in the month of September at high altitude. There was no history of trauma, ulcer over the penis, no blister, no discharge, or fever, with no history of cold related injuries in past. The examination revealed erythematous penile shaft with subcutaneous edema. There was no inguinal lymphadenopathy and the scrotal skin was normal. The patient responded to the conservative management for chill blains. Idiopathic penile chill blain is an extremely rare condition. People living in cold mountainous region should frequently change the clothes to keep the local area dry to avoid being victim of such cold related injuries.
Extreme high temperature poses significant threats to public health. Its slow-onset nature allows people to perceive discomfort and protect themselves from negative health consequences, but higher risk perception does not necessarily lead to precautions. Our study understands this gap by arguing that subjective heat-health symptoms are more direct motivations for some heat adaptive behaviours. Through a survey into households (n = 2008) in Taiwan, we assess negative perception of heat impacts during hot days against demographic and socio-economic factors and their relationship with adaptive behaviours. The results show that the frequency of feeling moody and ill varies with age, gender, and health condition, which is also connected to the use of um-brellas and hats. Older people, diabetic patients, and men tend to be less sensitive to high tem-perature, leaving them with higher heat risk. A sign of biophysical acclimatisation and adaptation of behaviours was found with people frequently working outdoors. They do not necessarily experience discomfort more frequently, but are more likely to use umbrellas and hats. Also, electricity cost may outweigh cooling benefits from using air conditioning in low-income and ethnic minority groups. These results reflect the subtropical Asian context, reinforcing the importance of biophysical as well as socio-cultural components in shaping heat vulnerability of individuals and the need for comprehensive and targeted policy interventions.
Harmful algal blooms (HABs) are a serious threat to aquatic environments. The intensive expansion of HABs across the world is a warning signal of environmental deterioration. Global climatic change enforced variations in environmental factors causing stressed environments in aquatic ecosystems that favor the occurrence, distribution, and persistence of HABs. Perceived intensification in HABs increases toxin production, affecting the ecological quality as well as serious consequences on organisms including humans. This review outlines the causes and impacts of harmful algal blooms, including algal toxicity, grazing defense, management, control measures, emerging technologies, and their limitations for controlling HABs in aquatic ecosystems. Aquatic pollution is considered a major threat to sustainable development across the world, and deterioration of aquatic ecosystems is caused usually by harmful algal blooms (HABs). In recent times, HABs have gained attention from scientists to better understand these phenomena given that these blooms are increasing in intensity and distribution with considerable impacts on aquatic ecosystems. Many exogenous factors such as variations in climatic patterns, eutrophication, wind blowing, dust storms, and upwelling of water currents form these blooms. Globally, the HAB formation is increasing the toxicity in the natural water sources, ultimately leading the deleterious and hazardous effects on the aquatic fauna and flora. This review summarizes the types of HABs with their potential effects, toxicity, grazing defense, human health impacts, management, and control of these harmful entities. This review offers a systematic approach towards the understanding of HABs, eliciting to rethink the increasing threat caused by HABs in aquatic ecosystems across the world. Therefore, to mitigate this increasing threat to aquatic environments, advanced scientific research in ecology and environmental sciences should be prioritized.
In the twenty-first century, land use changes, massive expansion of urbanization, population growth, economic crisis, environmental issues are the main challenges of developing countries. Climate change and its effects on human health are the major concerns for the different age groups of the population. The study delved into the causes associated with climate change and climate change-related myriad health impacts on the study population. This study has used a concurrent mixed-method research design. The quantitative and qualitative data were collected from the study area. Perception and knowledge about climate change and its consequences on health was based on a quantitative approach of Bi-variate analysis and Chi-Square test and Fisher’s exact test; this study also used qualitative data analysis. Study results show that most respondents pointed out that temperature increases throughout the year and 90% of the respondents reported that rainfall pattern has also changed. Similarly, 65% of respondents agreed in their statements in favour of increased natural calamities in this region. The study findings show that more than 40% of population faces dengue fever and 10% of people also suffer from malaria. More than 60% of the urban population suffered from asthma. Similarly, more than 70% of the population also got affected by cold and cough due to weather variability. Focus Group Discussion (FGD) and In-depth interviews of the participants also affirmed the fact that climate variability induced diseases and health problems in Kolkata Metropolitan areas. Urban residents perceived that excessive urbanization contributes to the changes in regional climate and human health. The study will encourage the policy-makers and local government to mitigate adverse health effects driven by climate change in the Kolkata Metropolitan Region.
AIM: To describe nursing students’ perceptions of sustainable health education in the nursing curriculum and their concerns about sustainable healthcare and the impact of climate change on nursing. BACKGROUND: Sustainable health education involves education on the impact of climate change on health and the impact of healthcare on the environment. The effectiveness of sustainable health education in improving attitudes, knowledge and skills in sustainable healthcare has been demonstrated. However, there is a need to study students’ perceptions of this and their concerns about achieving sustainable healthcare from the use and disposal of healthcare resources. DESIGN: A cohort study with an inductive content analysis of open-ended questions included in a survey. METHODS: The study was carried out with undergraduate nursing students throughout their four-year undergraduate academic program using scenario-based learning and augmented reality related to sustainability, climate change and health. As students were exposed to three educational interventions, they completed a survey of open-ended questions about their perceptions of their environmental sustainability training in the nursing curriculum, their concerns about the resources’ used in healthcare and their perceptions of the impact of climate change on the nursing profession. RESULTS: Students identified content in the nursing degree program on climate change and health and hospital waste segregation. They also demanded more content on ‘low environmental impact nursing care’ when their clinical practice training increased. Students were concerned about the excessive and unnecessary use of materials in healthcare, especially in the post-pandemic period, the lack of environmental awareness of healthcare professionals and the lack of power to change the situation. They recognised the lack of proper waste segregation in healthcare settings, no recycling bins and little reuse of materials. They were also concerned about the polluting disposal of material. They perceived important impacts of climate change on nursing, such as patient care due to increased pollution-related diseases, including foetal malformations and new health care needs arising from weather conditions. Finally, students were concerned about the impact this will have on nursing care work and require ‘nursing leadership in environmental awareness’. CONCLUSIONS: Students demand more training in low environmental impact healthcare and innovative educational practices are effective in this regard. Appropriate Sustainable Healthcare Education can make future health professionals more environmentally aware and enable them to lead the shift towards climate-smart care. TWEETABLE ABSTRACT: Students demand more training in low environmental impact healthcare and perceive significant impacts of climate change on nursing.
BACKGROUND: Air pollution is a major health burden and the leading environmental risk factor for non-communicable diseases worldwide. People’s perceptions and concerns about air pollution are important as they may predict protective behaviour or support for climate change mitigation policies. METHODS: This repeat cross-sectional study uses survey data collected from participants in Sydney, Australia in September-November 2019 (n = 1,647) and October-December 2020 (n = 1,458), before and after the devastating 2019/2020 bushfires and first COVID-19 lockdown restrictions in Sydney in 2020. Participants’ perceptions of air quality and concerns for health in relation to air quality were modeled against estimates of annual average NO(2) and PM(2.5) concentrations in their neighbourhood. RESULTS: Participants in suburbs with higher estimated air pollution concentrations generally perceived poorer air quality and were more concerned for health in relation to air quality. A 5 µg/m(3) increase in NO(2) was associated with perceived poorer air quality (OR 1.32, 95%CI 1.18-1.47). A 1 µg/m(3) increase in estimated PM(2.5) was associated with perceived poorer air quality (OR 1.37, 95%CI 1.24-1.52) and greater concern for health (OR 1.18, 95%CI 1.05-1.32). Air quality was perceived as better in 2020 than in 2019 in both NO(2) and PM(2.5) models (p<0.001). Air quality concern increased in 2020 in both models. DISCUSSION: This study provides the first Australian data on the association between estimated air quality exposure and air quality perceptions and concerns, contributing new evidence to inform public health approaches that increase awareness for air pollution and reduce the health burden.
Poor rural water quality is a health challenge in Fiji. A mixed-methods study in six iTaukei (Indigenous Fijian) villages was conducted to understand local perceptions of drinking water access and quality, how this changes drinking water source choices, and impacts of age and gender. Seventy-two household surveys, 30 key informant interviews (KIIs) and 12 focus group discussions (FGDs) were conducted. Household surveys revealed 41.7% of community members perceived their water as dirty and 76.4% perceived their water as clean. Two-thirds of households reported that they always or usually had enough water. FGDs and KIIs revealed water access and quality was influenced by population size, seasonality, and rainfall. Perceptions of water quality caused villages to shift to alternative water sources. Alignment of the qualitative and quantitative data identified four themes: sources and infrastructure, access, quality and contamination. There was mixed alignment of perceptions between access and quality between the household surveys, and KIIs and FGDs with partial agreement sources and infrastructure, and quality. Gender was found to influence perceptions of dirty water, contamination, and supply and demand. Perceptions of water quality and access shape decisions and choices for water sources and can be used to inform resilience and inclusive water strategies.
This study aimed to assess current perceptions of heat stress, heat strain, acclimatisation and recovery practices in wildland fire suppression. A total of 1459 wildfire and structural firefighters, all involved in wildland fire suppression, completed an 18-question survey. Most participants (81.3%) reported heat strain as one of the main risks faced during wildland firefighting. Thermal strain is considered an important risk for health and safety in wildland firefighting. The best-valued heat strain mitigation strategies were those traditionally recommended in wildland fire suppression: (i) an adequate work/rest ratio (79.0%), (ii) acclimatisation (71.6%), (iii) enhancing body ventilation by opening protective clothing or removing helmets or gloves (63.5%), and (iv) drinking water and food supplementation (52.1%). Despite these results, only 22% of the participants reported carrying out acclimatisation in the workplace. The vast majority of the respondents (87.4%) consider active cooling strategies (i.e., ice slurry ingestion, ice vests, etc.) impractical in combating heat strain during wildfire suppression. We identified a gap between knowledge about heat strain, its mitigation strategies and the level of actual implementation of these practices in the workplace. Our results highlight the need to improve heat strain management and implement operational directives for acclimatisation and active cooling interventions.
Extreme heatwaves represent a health hazard that is expected to increase in the future, and which particularly affects urban populations worldwide due to intensification by urban heat islands. To analyze the impact of such extreme heatwaves on urban areas, urban climate models are a valuable tool. This study examines the perfor-mance of the urban climate model MUKLIMO_3 in modelling spatial air temperature patterns in the greater urban area of Bern, Switzerland, a city in complex topography, during three distinct extreme heatwaves in 2018 and 2019 over a total of 23 days. The model is validated using low-cost air temperature data from 79 (2018) and 84 (2019) measurement sites. The intercomparison of the three extreme heatwaves shows that during the first extreme heatwave 2019 at lower elevation regions in the outskirts of the city, modelled air temperature was higher than observation, which was likely due to pronounced mesoscale cold air advection. During calm and dry days, the air temperature distribution was modelled realistically over all three extreme heatwaves investigated. During daytime, modelled air temperatures were lower across all evaluation sites and all extreme heatwaves when compared to the measured values, with highest median air temperature differences of-3.7 K to-4.8 K found in the late afternoon. At night, MUKLIMO_3 generally shows a slowed cooling, so that higher air tem-peratures were modelled when compared to measured values, with median air temperature biases of +1.5 K to +2.8 K at midnight. By sunrise, the model biases continuously decreased, so that the lowest air temperatures at 7 a.m. were modelled with a bias of +0.2 K to +0.7 K. Peak biases exceed 7 K both during day and night. In sum, our results show that MUKLIMO_3 allows to realistically model the urban air temperature distributions during the peaks of the heatwaves investigated with the highest day and night air temperatures, which may assist in the development of heat mitigation measures to reduce the impacts of heat extremes and improve public health in cities with complex topography.
The FY2022 edition of USGCRP’s annual report to Congress, Our Changing Planet, responds to the Global Change Research Act mandate to provide an overview of the Program’s progress in delivering on its strategic goals as well as a summary of agency expendit
The One Health concept was initiated to promote the integration of human, animal, and environmental ecosystems into healthcare to ensure effective control and the sustainable governance of multifaceted health matters. Climate change, deforestation, and rigorous farming disrupt the environment, which serves as the natural habitat for many animals and microbes, increasing the likelihood of disease transmission between humans and animals. Melioidosis (neglected tropical diseases) and glanders are of humans and animals caused by the gram-negative bacteria Burkholderia pseudomallei and its close relative Burkholderia mallei, respectively. In Malaysia, although melioidosis is endemic, it is not a notifiable disease. Hence, the true prevalence of melioidosis in Malaysia is unknown and varies in different regions of the country, with reported hotspots associated with agriculture-related activities. To date, no incidence of human glanders has been reported in Malaysia, although occupational exposure for equine handlers and veterinary professionals remains a concern. Additionally, antibiotics are widely used in the healthcare and veterinary sectors to treat or prevent B. pseudomallei and B. mallei infections, leading to the emergence of resistance in B. pseudomallei. Lack of surveillance, research, assessment, and management of glanders and melioidosis is a major issue in Malaysia. Proper assessment systems and cross-discipline cooperation are vital to recognize and manage both diseases. Experts and practitioners from clinical and veterinary disciplines, environmentalists, law enforcement, policymakers, researchers, local communities, and other experts need to communicate, collaborate, and coordinate activities to fill the knowledge gap on glanders and melioidosis to reduce morbidity and mortality rates in the country. This review aims to define the organizational and functional characteristics of One Health surveillance approaches for glanders and melioidosis from a Malaysian perspective.
BACKGROUND: The 2020 Fort McMurray (FMM) and area flood caused more than $228 million in insured damage, affected over 1200 structures, and more than 13,000 people were evacuated. OBJECTIVE: This study sought to determine the prevalence of post-traumatic stress disorder (PTSD)-like symptoms and the risk predictors among the population of FMM one year after the 2020 flooding. METHODS: An online quantitative cross-sectional survey was distributed to residents of FMM via REDCap between 24 April to 2 June 2021 to collect sociodemographic, clinical, and flood-related information. The PTSD checklist for DSM-5 (PCL-C) was used to assess likely PTSD among respondents. RESULTS: 186 of 249 respondents completed all essential self-assessment questionnaires in the analysis, yielding a response rate of 74.7%. The prevalence of likely PTSD was 39.6% (65). Respondents with a history of depression were more likely to develop PTSD symptoms (OR = 5.71; 95% CI: 1.68-19.36). Similarly, responders with limited and no family support after the disaster were more prone to report PTSD symptoms ((OR = 2.87; 95% CI: 1.02-8.05) and (OR = 2.87; 95% CI: 1.06-7.74), respectively). CONCLUSIONS: Our research indicated that history of depression and the need for mental health counseling significantly increased the risk of developing PTSD symptoms following flooding; family support is protective. Further studies are needed to explore the relations between the need to receive counseling and presenting with likely PTSD symptoms.
BACKGROUND: During the summer of 2019/2020, Australia experienced a catastrophic wildfire season that affected nearly 80% of Australians either directly or indirectly. The impacts of climate crisis on perinatal health have only recently begun to receive attention. The objective of this study was to understand experiences of perinatal women during the bushfire and smoke events of 2019-2020 regarding health, health care, and public health messaging. METHODS: Semistructured interviews were conducted by phone or web conferencing platforms with 43 participants living in the south-east of Australia who were either pregnant or who had recently had a baby during the 2019/2020 fires. RESULTS: The health impacts on participants of the fires, associated smoke, and evacuations for some, were both physical and psychological. Many participants sought information regarding how to protect their own health and that of their unborn/recently born children, but reported this difficult to find. CONCLUSIONS: Pregnant women and new mothers exposed to bushfire events are a risk group for adverse physical and psychological outcomes. At the time of the 2019/2020 Australian bushfires, exposed women could not easily access evidence-based information to mitigate this risk. Family practitioners are well placed to provide pregnant women and new mothers with this sought-after information, but they need to be prepared well in advance of future similar events.
We proposed in this study a deterministic mathematical model of malaria transmission with climate variation factor. In the first place, fundamental properties of the model, such as positivity of solution and boundedness of the biological feasibility of the model, were proved whenever all initial data of the states were nonnegative. The next-generation matrix method is used to compute a basic reproduction number with respect to the disease-free equilibrium point. The Jacobian matrix and the Lyapunov function are used to check the local and global stability of disease-free equilibriums. If the basic reproduction number is less than one, the model’s disease-free equilibrium points are both locally and globally asymptotically stable; otherwise, an endemic equilibrium occurs. The results of the sensitivity analysis of the basic reproduction numbers were obtained, and its biological interpretation was provided. The existence of bifurcation was discussed, and the model exhibits forward and backward bifurcations with respect to the first and second basic reproduction numbers, respectively. Secondly, using the maximum principle of Pontryagin, the optimal malaria reduction strategies are described with three control measures, namely, treated bed nets, infected human treatment, and indoor residual spraying. Finally, based on numerical simulations of the optimality system, the combination of treatment and indoor spraying is the most efficient and least expensive strategy for malaria eradication.
The mobile emergency system is a new emergency mode that provides a solution to deal with increasingly frequent sudden disasters by reasonably allocating mobile emergency facilities and optimizing the allocation of mobile emergency materials. We consider mobile emergency cost and mobile emergency time as two objective functions. This paper establishes a multi-objective mobile emergency material allocation model, and transforms the multi-objective. We choose the emergency material transportation path for coding, and apply the hybrid leapfrog algorithm for material allocation to obtain the optimal solution. Finally, the feasibility of the model is verified by taking Zhengzhou urban area under the “21.7” severe rainstorm and flood disaster in Henan Province. The result analyses show that the model can correspond to each stage of mobile emergency material allocation based on the value of cost preference, and put forward suggestions on the location of mobile emergency facilities and the amount of material allocation.
Agricultural subsidies are an important factor for influencing food production and therefore part of a food system that is seen as neither healthy nor sustainable. Here we analyse options for reforming agricultural subsidies in line with health and climate-change objectives on one side, and economic objectives on the other. Using an integrated modelling framework including economic, environmental, and health assessments, we find that on a global scale several reform options could lead to reductions in greenhouse gas emissions and improvements in population health without reductions in economic welfare. Those include a repurposing of up to half of agricultural subsidies to support the production of foods with beneficial health and environmental characteristics, including fruits, vegetables, and other horticultural products, and combining such repurposing with a more equal distribution of subsidy payments globally. The findings suggest that reforming agricultural subsidy schemes based on health and climate-change objectives can be economically feasible and contribute to transitions towards healthy and sustainable food systems.
Legumes, being angiosperm’s third-largest family as well as the second major crop family, contributes beyond 33% of human dietary proteins. The advent of the global food crisis owing to major climatic concerns leads to nutritional deprivation, hunger and hidden hunger especially in developing and underdeveloped nations. Hence, in the wake of promoting sustainable agriculture and nutritional security, apart from the popular legumes, the inclusion of lesser-known and understudied local crop legumes called orphan legumes in the farming systems of various tropical and sub-tropical parts of the world is indeed a need of the hour. Despite possessing tremendous potentialities, wide adaptability under diverse environmental conditions, and rich in nutritional and nutraceutical values, these species are still in a neglected and devalued state. Therefore, a major re-focusing of legume genetics, genomics, and biology is much crucial in pursuance of understanding the yield constraints, and endorsing underutilized legume breeding programs. Varying degrees of importance to these crops do exist among researchers of developing countries in establishing the role of orphan legumes as future crops. Under such circumstances, this article assembles a comprehensive note on the necessity of promoting these crops for further investigations and sustainable legume production, the exploitation of various orphan legume species and their potencies. In addition, an attempt has been made to highlight various novel genetic, molecular, and omics approaches for the improvement of such legumes for enhancing yield, minimizing the level of several anti-nutritional factors, and imparting biotic and abiotic stress tolerance. A significant genetic enhancement through extensive research in ‘omics’ areas is the absolute necessity to transform them into befitting candidates for large-scale popularization around the globe.
Climate change, environmental pollution, and virus epidemics have sharply increased the number of patients suffering from respiratory diseases in recent years. Prolonged periods of illness and drug use increase the occurrence of complications in these patients. Osteoporosis is the common bone metabolism disease with respiratory disturbance, which affects prognosis and increases mortality of patients. The problem of osteoporosis in patients with respiratory diseases needs more attention. In this review, we concluded the characteristics of osteoporosis in some respiratory diseases including COPD, asthma, COVID-19, tuberculosis, and lung cancer. We revealed that hypoxia was the common pathogenesis of osteoporosis secondary to respiratory diseases, with malnutrition and corticosteroid abuse driving the progression of osteoporosis. Hypoxia-induced ROS accumulation and activated HIF-1α lead to attenuated osteogenesis and enhanced osteoclastogenesis in patients with respiratory diseases. Tuberculosis and cancer also invaded bone tissue and reduced bone strength by direct infiltration. For the treatment of osteoporosis in respiratory patients, oral-optimized bisphosphonates were the best treatment modality. Vitamin D was a necessary supplement, both for calcium absorption in osteogenesis and for improvement of respiratory lesions. Reasonable adjustment of the dose and course of corticosteroids according to the etiology and condition of patients is beneficial to prevent the occurrence and
