As wildfire activity continues to increase throughout much of the western US, questions remain about how to effectively communicate wildfire smoke risk to harder-to-reach groups, including rural populations. Standard public health strategies rely largely on risk assessment and communication informed by available air quality data. However, rural populations can be difficult to reach through traditional communication channels and air quality monitoring to inform messaging can be absent or scarce. As efforts increase to expand air quality monitoring into rural regions, there is a need to identify and affirm the most effective content and communication channels for motivating protective action. We used a mental models approach to identify wildfire smoke risk information needs and preferred communication channels in three rural counties in northern Nevada. Participants revealed a substantial knowledge base with opportunities for enhancement related to the range of potential physical and mental health impacts, vulnerable groups, and exposure mitigation strategies. Preferred communication channels were varied but almost exclusively local. The mental models approach also uncovered important barriers to exposure mitigation as well as potential areas of future research. Insights gained from this study will be used to inform targeted wildfire smoke risk communication for rural Nevada counties and may serve to motivate similar studies in other rural regions. Identifying similarities and differences in information needs and preferred communication channels can help inform understanding of how and why to tailor wildfire smoke risk communication. Any new messaging developed from such studies should be evaluated to ensure its effectiveness.
Climate extremes, notably compound extremes, pose significant risks to human society and environmental systems. These extremes, heightened by urbanization-a hallmark of modern socioeconomic progression-inflict persistent, intense thermal conditions. The comprehension of urbanization’s impact on compound temperature extremes, particularly in Central-South China, a region with rapid urbanization and a subtropical climate, remains limited. In addition, most existing studies relied on static urban-rural division, and few used dynamic division, with no research yet juxtaposing findings from both methods. Against this backdrop, this study provided an unprecedented assessment of urbanization’s impact on both individual and compound temperature extremes in Central South China, focusing on Hunan Province during long-time period of 1960-2022 under both static and dynamic urban-rural divisions. In both urban and rural stations, a pronounced warming trend was evident across individual and compound temperature extremes. Besides, a tendency of independent day/night extremes shifting towards extremes spanning both was observed. Notably, the escalation of heat compound extreme temperature indices (ETIs) outpaces that of cold ones, with a larger urban-rural discrepancy under dynamic classifications. Urbanization intensifies temperature extremes, particularly affecting the reduction of independent cold days (30.97 %-33.94 %) and the increase in compound hot events (23.91 %-24.87 %). Interestingly, urbanization’s impact is more substantial on independent daytime extremes than on independent nighttime ones. Urbanization’s influence on ETIs was consistently observed under both static and dynamic classifications, with the latter revealing a more pronounced contribution (1 %-3 %), and the contribution to compound ETIs is 6 %-8 % higher than to individual ETIs. These findings emphasize the importance of considering urbanization’s multifaceted impacts on climate strategies and underscore the need for adaptive infrastructure and sustainable practices to mitigate escalating climate risks.
CONTEXT: During the summer of 2021, western Canada experienced a deadly heat event. From the first heat alert to postevent reporting, thousands of media articles were published that reference the heat event. However, a gap remains in understanding how this communication chain-from the release of a public heat alert to information shared through media outlets to the public-currently operates to disseminate heat-related messaging across Canada. OBJECTIVE: To understand the role of digital media in delivering heat-health messaging during an extreme heat event in Canada. DESIGN: A qualitative content analysis was conducted using Canadian news articles published on the 2021 Heat Dome between June 2021 and February 2022 (n = 2909). The coding frame was designed to align with the basic framework for information gathering used in journalism (who, what, where, when, and how) and included both concept-driven and data-driven codes. RESULTS: Overall, 2909 unique media articles discussing the 2021 Heat Dome were identified, with the majority (74%) published by online news agencies (how). The highest article count was on June 29, 2021 (n = 159), representing 5% of the total data set (n = 2909) spanning 260 days (when); 57% of the identified locations were in British Columbia (where). Although we found that the top voices providing media-based heat-health messages are government officials (who), only 23% of articles included heat-health messaging that aligns with the government health alert bulletins released during extreme heat. In addition, heat-health messaging frequently included contradictory content, inconsistent language, or incorrect advice (what). CONCLUSION: The findings demonstrate clear opportunities to improve health communication related to extreme heat, perhaps most importantly, including updates to mass media messaging educating the public on heat-protective behaviors.
Leishmaniasis is a complex disease. Any change in weather conditions affects the humans’ social and agricultural expansion and, consequently, the parasite’s life cycle in terms of ecology, biodiversity, social stigma, and exclusion. This population-based prospective longitudinal investigation was conducted between 1991 and 2021 in a well-defined CL (cutaneous leishmaniasis) focus in Bam County, southeastern Iran. A robust health clinic and health surveillance system were responsible for the ongoing systematic documentation, detection, identification, and management of CL cases. The exponential smoothing method via the state space model was used in the univariate time series. The TTR, smooth, and forecast packages were used in R software. Landsat satellite images from 1991, 2001, 2011, and 2021 were employed in the physical development. During this period, the temperature increased while the rainfall and humidity decreased. The findings showed a downward trend in the standardized drought index. Also, the results showed that climate warming and ecological changes profoundly affected the area’s agricultural patterns and topographical features. Furthermore, the last three decades witnessed an elimination trend for zoonotic CL (ZCL) and the predominance of anthroponotic CL (ACL). The present findings showed that the critical factors in the predominance of ACL and elimination of ZCL were rising temperature, drought, migration, unplanned urbanization, earthquake, and agrarian reform. The wall-enclosed palm tree gardens excluded the primary ZCL reservoir host. They controlled the disease while providing suitable conditions for the emergence/re-emergence of ACL in the newly established settlements and the unplanned ecozone. Therefore, robust health infrastructures, sustained financial support, and evidence-based research studies are crucial to facilitating the necessary surveillance, monitoring, and evaluation to control and eliminate the disease.
OBJECTIVES: This study aimed to evaluate the performance of a low-cost smoke sampling platform relative to environmental and occupational exposure monitoring methods in a rural agricultural region in central Washington state. METHODS: We co-located the Thingy AQ sampling platform alongside cyclone-based gravimetric samplers, a nephelometer, and an environmental beta attenuation mass (E-BAM) monitor during August and September of 2020. Ambient particulate matter concentrations were collected during a smoke and non-smoke period and measurements were compared across sampling methods. RESULTS: We found reasonable agreement between observations from two particle sensors within the Thingy AQ platform and the nephelometer and E-BAM measurements throughout the study period, though the measurement range of the sensors was greater during the smoke period compared to the non-smoke period. Occupational gravimetric sampling methods did not correlate with PM(2.5) data collected during smoke periods, likely due to their capture of larger particle sizes than those typically measured by PM(2.5) ambient air quality instruments during wildfire events. CONCLUSION: Data collected before and during an intense wildfire smoke episode in September 2020 indicated that the low-cost smoke sampling platform provides a strategy to increase access to real-time air quality information in rural areas where regulatory monitoring networks are sparse if sensor performance characteristics under wildfire smoke conditions are understood. Improving access to spatially resolved air quality information could help agricultural employers protect both worker and crop health as wildfire smoke exposure increases due to the impacts of climate change. Such information can also assist employers with meeting new workplace wildfire smoke health and safety rules.
Ecologies of zoonotic vector-borne diseases may shift with climate and land use change. As many urban-adapted mammals can host ectoparasites and pathogens of human and animal health concern, our goal was to compare patterns of arthropod-borne disease among medium-sized mammals across gradients of rural to urban landscapes in multiple regions of California. DNA of Anaplasma phagocytophilum was found in 1-5% of raccoons, coyotes, and San Joaquin kit foxes; Borrelia burgdorferi in one coyote, rickettsiae in two desert kit foxes, and Yersinia pestis in two coyotes. There was serological evidence of rickettsiae in 14-37% of coyotes, Virginia opossums, and foxes; and A. phagocytophilum in 6-40% of coyotes, raccoons, Virginia opossums, and foxes. Of six flea species, one Ctenocephalides felis from a raccoon was positive for Y. pestis, and Ct. felis and Pulex simulans fleas tested positive for Rickettsia felis and R. senegalensis. A Dermacentor similis tick off a San Joaquin kit fox was PCR-positive for A. phagocytophilum. There were three statistically significant risk factors: risk of A. phagocytophilum PCR-positivity was threefold greater in fall vs the other three seasons; hosts adjacent to urban areas had sevenfold increased A. phagocytophilum seropositivity compared with urban and rural areas; and there was a significant spatial cluster of rickettsiae within greater Los Angeles. Animals in areas where urban and rural habitats interconnect can serve as sentinels during times of change in disease risk.
Diabetics are sensitive to high ambient temperature due to impaired thermoregulation. However, available evidence on the impact of prolonged high temperature (i.e., heatwave) on diabetes deaths is limited and whether urban and rural areas differ in heatwave vulnerability remains unknown so far. A time-stratified case-crossover analysis was employed to estimate the association between heatwaves and diabetes deaths in 1486 districts (509 urban and 977 rural areas) of eastern China (Jiangsu Province), 2016-2019. For each decedent, residential heatwave exposure was measured by matching daily mean temperatures to the geocoded residential address. We adopted nine-tiered heatwave definitions incorporating intensity and duration. Stratified analyses by decedents’ characteristics (gender, age, and education) were also conducted. During the study period, there were 18,685 deaths from diabetes (urban proportion: 36.95 %, p-value for urban-rural difference < 0.05). Heatwaves were associated with an increased risk of diabetes deaths, with greater and longer-lasting effects in rural areas than urban areas [e.g., rural odds ratio (OR): 1.19 (95 % confidence interval (CI): 1.14, 1.25) vs. urban OR: 1.09 (95 % CI: 1.05, 1.12)]. Risk of diabetes deaths increased with the intensity of heatwaves in rural areas (p-value for trend <0.01), but not in urban areas. Stratified analyses in rural areas suggested that females and less-educated people were more vulnerable to heatwave-related diabetes deaths. Our findings revealed the urban-rural disparity in the risk of diabetes deaths associated with heatwaves. Rural diabetics should be made aware of the increased death risk posed by heatwaves in the context of warming climate.
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.
Epidemiological evidence suggests that outdoor climate strongly influences human health. However, since people spend 90% of their time indoors, the indoor environment may be a better indicator of epidemiological diseases and infections. Despite previous studies exploring the relationship between indoor and outdoor thermal environments, little is known about this relationship in China’s subtropical countryside. This study aims to investigate the indoor-outdoor relationship of air temperature and relative humidity, examine the spatial and temporal variation characteristics of the indoor thermal environment, and estimate indoor thermal comfort. We monitored outdoor and indoor air temperature and relative humidity for two years using wireless IoT temperature/humidity button sensors in fourteen residential buildings. Our results show that the average vertical spatial variance range of air temperature was largest in summer (2.11 degrees C) and smallest in fall (1.23 degrees C), while horizontal spatial variation was negligible. The average daily temporal variation range was largest on the third floor (2.3 degrees C) and smallest on the first floor (1.5 degrees C). Indoor air temperatures were highly correlated with outdoor air temperatures, with a linear correlation coefficient greater than 0.9. The relationship between indoor and outdoor relative humidity was moderate, with an average correlation coefficient of 0.54. Furthermore, we found that almost all uncomfortable indoor air temperature points were lower than the lower temperature limit of the adaptive comfort band in all seasons, and almost no indoor temperatures in summer and winter were within the PMV comfort band.
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.
BACKGROUND: Although many studies have reported the mortality effect of temperature, there were few studies on the mortality risk of humidity, let alone the joint effect of temperature and humidity. This study aimed to investigate the joint and interaction effect of high temperature and relative humidity on mortality in China, which will deepen understanding the health risk of mixture climate exposure. METHODS: The mortality and meteorological data were collected from 353 locations in China (2013-2017 in Jilin, Hunan, Guangdong and Yunnan provinces, 2009-2017 in Zhejiang province, and 2006-2011 in other Provinces). We defined location-specific daily mean temperature ≥ 75th percentile of distribution as high temperature, while minimum mortality relative humidity as the threshold of high relative humidity. A time-series model with a distributed lag non-linear model was first employed to estimate the location-specific associations between humid-hot events and mortality, then we conducted meta-analysis to pool the mortality effect of humid-hot events. Finally, an additive interaction model was used to examine the interactive effect between high temperature and relative humidity. RESULTS: The excess rate (ER) of non-accidental mortality attributed to dry-hot events was 10.18% (95% confidence interval (CI): 8.93%, 11.45%), which was higher than that of wet-hot events (ER = 3.21%, 95% CI: 0.59%, 5.89%). The attributable fraction (AF) of mortality attributed to dry-hot events was 10.00% (95% CI: 9.50%, 10.72%) with higher burden for females, older people, central China, cardiovascular diseases and urban city. While for wet-hot events, AF was much lower (3.31%, 95% CI: 2.60%, 4.30%). We also found that high temperature and low relative humidity had synergistic additive interaction on mortality risk. CONCLUSION: Dry-hot events may have a higher risk of mortality than wet-hot events, and the joint effect of high temperature and low relative humidity may be greater than the sum of their individual effects.
Iraq is one of the regions most affected by climate change around the world. These multidimensional effects of climate and pollution must be taken into consideration when estimating both climate and air pollution-related impacts, in order to develop appropriate health policies and measures to address both current and future climate and pollution challenges. The study was conducted in the Iraqi governorate of Salah al-Din, during the fall, winter and spring seasons of the year 2021-2022, with the aim of evaluating the level of pollutants in the atmospheric air for three regions: Abotuama rural area, Baiji oil refinery and the city of Tikrit. The concentrations of each of the toxic gases were measured: SO2, NO, NO2, HCL, HF, TVOC, CO2 and CO, as well as temperatures. Significant differences were found between the study locations and seasons for all the variables that were tested, as Baiji refinery recorded the highest concentrations of SO2, NO, NO2, HCL, FH and TVOC at 3.5 ppm, 10.78 ppm, 7.475 ppm, 13.1 ppm, 0.8 mg m-3 and 15.25 ppm, respectively. The site of Tikrit recorded the highest concentrations of CO2 and CO, which were 1016 ppm and 29.85 mg m-3, respectively. While the spring season recorded the highest concentrations of SO2, HCL, TVOC and CO compounds, followed by the winter season of NO2, FH and TVOC compounds, the temperature rates were identical in the three study sites and during the fall, winter and spring seasons, reaching 30.25, 12.5 and 31 & DEG;C during the three seasons, respectively. The results of analyzing the relationship between temperature and pollutant concentrations showed that SO2, NO, HCl, and CO increase in hot seasons, while NO2, HF, TVOC, and CO2 pollutant concentrations increase during cold seasons.
Climate change is currently regarded as the greatest global threat to human health, and its health-related consequences take different forms according to age, sex, socioeconomic level, and type of territory. The aim of this study is to ascertain the differences in vulnerability and the heat-adaptation process through the minimum mortality temperature (MMT) among the Spanish population aged ≥65 years by territorial classification. A retrospective, longitudinal, ecological time-series study, using provincial data on daily mortality and maximum daily temperature across the period 1983-2018, was performed, differentiating between urban and nonurban populations. The MMTs in the study period were higher for the ≥65-year age group in urban provinces, with a mean value of 29.6 °C (95%CI 29.2-30.0) versus 28.1 °C (95%CI 27.7-28.5) in nonurban provinces. This difference was statistically significant (p < 0.05). In terms of adaptation levels, higher average values were obtained for nonurban areas, with values of 0.12 (95%CI -0.13-0.37), than for urban areas, with values of 0.09 (95%CI -0.27-0.45), though this difference was not statistically significant (p < 0.05). These findings may contribute to better planning by making it possible to implement more specific public health prevention plans. Lastly, they highlight the need to conduct studies on heat-adaptation processes, taking into account various differential factors, such as age and territory.
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.
Introduction: Safe and easily accessible drinking water service generates substantial benefits for public health and the economy. Approximately 10% of the global burden of disease worldwide could be prevented with improved access to drinking water. The death of similar to 30% of children younger than 5 years in developing countries is attributable to inadequate access to improved drinking water. Despite the presence of abundant water sources in Ethiopia, uneven distribution and waste pollution coupled with unprecedented population growth, rapid urbanization, and climate change are hindering the country’s ability to maintain the balance between the demand and supply of accessible and improved drinking water services. The importance of up-to-date evidence for actions regarding the distribution of access to improved drinking water services is indicated by the Ethiopian Ministry of Water and Energy. Therefore, this study aimed to explore the spatial distribution and determinants of limited access to improved drinking water service among households in Ethiopia. Methods: This study used the 2019 Ethiopian Mini Demographic and Health Survey (EMDHS). The data were weighted using sampling weight to restore the representativeness and to obtain valid statistical estimates. After excluding ineligible households, a total weighted sample of 5,760 households was included in the final analysis. The analysis was performed using STATA version 14.2, ArcGIS Pro, and SaTScan version 10.1 software. To find significant determinants with limited access to improved drinking water service, we used a multilevel logistic regression model. A P-value of Results: This study found that in Ethiopia, 16.1% (95% CI: 15.2, 17.1) of households have limited access to improved drinking water services. The spatial distribution of households with limited access was identified to be clustered across a few regions of the country (Moran’s I = 0.17, p-value < 0.01). The most likely significant primary clusters with highly limited access were seen in the Somali region (RR = 4.16, LLR = 162.8), the border between Amhara and Afar region (RR = 4.74, LLR = 41.6), the border between Oromia and Afar region (RR = 5.21, LLR = 13.23), and the northeastern Tigray region (RR = 2.52, LLR = 9.87). The wealth index, the age of household head, residence, and region were significantly associated with limited access to improved drinking water service. A high rate of limited access to improved drinking water service is predicted in the southwestern part of Gambella, the northeastern part of Oromia, the southwestern part of South Nation Nationalities and Peoples' region, and part of the Oromia region that surrounds Addis Ababa. Conclusion: Limited access to improved drinking water service in Ethiopia varies across regions, and inequality in the service provision exists in the country. Prioritization and extra level of efforts should be made by concerned government and non-government organizations as well as other stakeholders for those underprivileged areas and groups of the population as they are found in the study.
Cities are highly vulnerable areas affected by climate change. For sustainable urbanization, it is of great importance to determine the thermal conditions in cities and to make predictions for the future. Therefore, in this study, the spatial distribution of the thermal comfort conditions in the city of Diyarbakir, located in the southeastern Turkey, during the hot period of the year is explained and predictions for the future are made. In the study, measurement data from meteorological stations and the data of the SSP-2 and SSP-5 scenarios were used. Thermal comfort conditions were determined according to the PET (physiological equivalent temperature) index using RayMan software. The ArcGIS 10.5 program was used for defining the spatial distribution of thermal comfort conditions. As a result of the study, it is seen that the areas with dense construction and a low amount of green area in the old urbanized area, which is the central business district (CBD), have uncomfortable conditions. It is predicted that uncomfortable areas will increase in the near and distant future and threaten human health. For climate-resilient, healthy, and comfortable cities that can adapt to adverse effects of climate change, urban design and planning should be carried out with a holistic perspective.
Nontuberculous mycobacteria (NTM) infections are caused by environmental exposure. We describe spatial distribution of NTM infections and associations with sociodemographic factors and flooding in Missouri, USA. Our retrospective analysis of mycobacterial cultures reported to the Missouri Department of Health and Social Services surveillance system during January 1, 2008-December 31, 2019, detected geographic clusters of infection. Multilevel Poisson regression quantified small-area geographic variations and identified characteristics associated with risk for infection. Median county-level NTM infection rate was 66.33 (interquartile range 51-91)/100,000 persons. Risk of clustering was significantly higher in rural areas (rate ratio 2.82, 95% CI 1.90-4.19) and in counties with >5 floodings per year versus no flooding (rate ratio 1.38, 95% CI 1.26-1.52). Higher risk for NTM infection was associated with older age, rurality, and more flooding. Clinicians and public health professionals should be aware of increased risk for NTM infections, especially in similar environments.
Beliefs form the fabric of every society. Likewise, there are socio-cultural beliefs that people hold as causes of climate risk. This paper sought to identify the socio-cultural beliefs on drought among crop farmers in Talensi, Ghana and how these provide insights for environmental management, social vulnerability, early warning systems and coping and adaptation. The selection of Talensi District was appropriate because it is one of the agrarian districts located in drought prone zone of Ghana. The study was designed following the case study approach. A total of 69 participants were selected through purposive sampling to participate in key informant interviews and focus group discussions conducted across nine (9) communities. The study found that manifestation of bad and/or indecent behavioural practices; performance and/or non-performance of traditional rites; presence and behaviour peculiar animals; and magical conjurations and incantations by spiritualists, diviners and soothsayers were the significant socio-cultural beliefs accounting for drought. The study concludes that the socio-cultural beliefs of the local people are their social-cultural capital and this asset is a useful gamut in explaining the social vulnerability; development of early warning drought systems; and selection of coping and adaptation strategies in Talensi District. A major recommendation is that individuals and institutions with expertise in technical and scientific early warning drought information should be circumspect in not adopting a judgmental approach when they are communicating and disseminating risk information, to the detriment of indigenous knowledge.
This study used a novel survey instrument to evaluate the hypothesis that U.S. agricultural producers have significantly different stress and recovery experiences following acute-onset natural disaster compared to their non-agricultural counterparts. Participants were recruited through local organizations and targeted email and social media in communities in Arkansas and Nebraska that had experienced violent tornadoes in 2014 and/or severe flooding in 2019. The survey instrument incorporated the Brief Resilience Scale, the Revised Impact of Event Scale referencing two time points, the Posttraumatic Growth Inventory-Short Form, and original questions. Demographic, exposure, stress, and recovery measures were analyzed in SAS with Chi-square tests, t-tests, Wilcoxon tests, and multiple linear regression modeling to test for differences between agricultural and non-agricultural groups in resilience, event exposure, stress symptoms in the week after the event, stress symptoms in the month before the survey, a calculated recovery ratio, and posttraumatic growth. Analysis sample (N = 159) contained 20.8% agricultural occupation, 71.1% female, and 49.1% over age 55. No significant differences were found between agricultural and non-agricultural participants when comparing resilience, stress, or recovery ratio measures. Unadjusted posttraumatic growth score was significantly lower in the agriculture group (P = .02), and an occupation group by sex interaction was significantly associated with posttraumatic growth score (P = .02) when controlled for number of initial posttraumatic stress symptoms in the adjusted model, with agricultural women showing lower growth. Overall, there was no evidence of significant difference in disaster stress and recovery between agricultural and rural, non-agricultural groups in this study. There was some evidence that women in agriculture may have lower levels of recovery. Data indicated that rural residents continue to experience posttraumatic-type symptoms up to 8 years beyond the acute-onset natural disaster events. Communities should include strategies to support mental and emotional health in their preparedness, response, and recovery plans with intentional inclusion of agricultural populations.
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.
This paper attempts to assess the vulnerability to river bank erosion of human communities in different mouzas of selected blocks of Diara sub division of Malda District of India. A primary household survey has been done to collect data on socio demographic profile, livelihood strategy, health, food, water, social network, natural disaster and river bank erosion indicators which were selected for Livelihood Vulnerability Index (LVI) and Livelihood Vulnerability Index-Intergovernmental Panel on Climate Change (LVI-IPCC) analyses to predict and compare the vulnerability of mouzas currently suffering from frequent flooding, river bank erosion and embankment breaching on an annual basis. Secondary data are collected from the Human Development Report of Malda district; Regional Agriculture office and analyzed through relevant charts, diagrams and calculating index values. A GPS survey has been conducted to identify locations of affected mouzas due to river bank erosion. The results indicate that the study area has experienced rise in water level, higher amount of water discharge, riverbank line change, constant land loss, embankment breaching and changing land use, which have had impact on vulnerability, particularly of poorer riverine people. From the result of both LVI and LVI- IPCC, high to moderate vulnerability condition has existed within the selected mouzas. The high vulnerable mouzas are Dharampur, Manikchak, Kesarpur, Mirpur, Mathurapur, Jot Bhabani and relatively less vulnerable mouzas are Suksena, Duani Tafir and Paschim Narayanpur in respect to both indices. The poor conditions of LVI components of the selected mouzas in the study area make them more expose and sensitive and decrease their adaptive capacity. These findings enable policymakers to formulate and implement effective strategies and programs to reduce vulnerability and enhance resilience by improving the livelihoods of the vulnerable riverine community of all other parts in India as well as world.
Due to the need to continuously monitor and understand the thermal environment and its socioeconomic implications, this study used remotely sensed data to analyze thermal comfort variation in LCZs, including along the rural to urban gradient of the eThekwini Municipality in KwaZulu-Natal province of South Africa. LCZs were mapped using multi-temporal and multi-spectral Landsat 8 and Landsat 9 data using the approach by World Urban Database and Access Portal Tools (WUDAPT), while thermal data were used to retrieve land surface temperatures (LSTs). Data for training classification of LCZs and accuracy assessment were digitized from GoogleEarth guided by knowledge gained and data collected during a field survey in March 2022 as well as pre-existing maps. LCZs were mapped using the random forest classifier in SAGA GIS software while a single channel algorithm based on band 10 was used to compute LST for different scenes. The LSTs were adjusted and further used to derive thermal comfort based on the Universal Thermal Comfort Index (UTCI) categories as an indicator for outdoor thermal comfort on the extremely low- and extremely high-temperature periods in the cool and hot seasons, respectively. LCZs were mapped with high accuracy (overall accuracy of 90.1% and kappa of 0.88) while inter-class separability was high (>1.5) for all LCZ pairs. Built-up LCZs dominate the eastern parts of the municipality, signifying the influence of the sea on development within the area. Average LST was coolest in the dense forest, open low-rise and water LCZs in the cool and hot seasons, respectively. The compact high-rise LCZ was the warmest in both the hot (36 degrees C) and the cool (23 degrees C) seasons. The sea sands were among coolest regions in both seasons due to their high water content, attributed to their high water table and close proximity to the ocean. There was no thermal stress during the cool season, while most areas recorded moderate to strong heat stress in the hot season. Some areas in the densely built-up LCZs recorded very strong heat stress in the hot season. The findings suggest that policies and strategies should enhance heat mitigation capacities in strong-heat-stress areas during the hot season. Municipal authorities and citizens must work together to build strategies to minimize temperature extremes and associated socioeconomic pressures. Urban development policies, plans and strategies should consider implications on the thermal environment as well as the value of conservation of LCZs with high-heat mitigation value such as dense forests and expansion of built-up LCZs with low-heat absorption levels such as open low-rise. The study was based mainly on remotely sensed temperatures with some ground data used to validate results, which may limit the assessment. Overall, the study provides insights towards achievement of global sustainable and climate-smart development targets.
Self-regulation shift theory (SRST) argues that most individuals are able to successfully recover from trauma via engagement in self-regulation processes as well as the effective utilization of internal and environmental resources. However, a minority of individuals may instead experience a self-determination violation as a result of their self-regulatory capacity being overwhelmed. This self-determination violation is marked by chaotic and shifting adjustment, maladaptive regulation attempts, and, ultimately, a shift to an impaired self-state and the development of persistent psychopathology, such as posttraumatic stress disorder (PTSD). The current study utilized nonlinear dynamic system (NDS) analysis to identify adjustment trajectory dynamics among rural hurricane survivors in North Carolina (N = 131) who completed daily ecological momentary assessments (EMAs) regarding their distress (i.e., negative mood and PTSD symptoms), regulation efforts (e.g., coping), and appraisals (e.g., coping self-efficacy) over a 6-week period. Four adjustment trajectories were identified, including two largely adaptive trajectories (69.0% and 5.7%), a less stable adjustment trajectory (6.9%), and a fourth trajectory (18.4%) marked by shifting adjustment states and more frequent maladaptive regulation and negative appraisals, suggesting possible self-determination violation. Consistent with this possibility, this final trajectory was also associated with more severe PTSD symptoms relative to the other three trajectories at enrollment and 6-month follow-up. Future work should utilize NDS to model posttrauma adjustment dynamics from within a SRST framework to identify patterns of positive and negative adjustment dynamics at different time points in the trauma recovery process.
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/).
Care provision is a key component of women’s time use with implications for the health and wellbeing of children. Shifting labor demands resulting from weather shocks may imply that women in developing countries have less time for care provision, potentially affecting their children’s nutrition. Nonetheless, a broad literature focusing on the indirect impacts of climate change on child nutrition has yet to explore the mechanisms whereby this occurs, and whether mothers’ time use is one of these mechanisms. Using the Uganda National Panel Survey, a unique data set that gathers data on farming activities, time use, and anthropometric measures, I analyze how rainfall variability affects mother’s time use and whether time use is a mechanism whereby rainfall variability affects child nutrition in the short run (measured as weight-for-age and weight-for-height Z-scores). My results show that increased rainfall variability in the last month decreases mothers’ time share in other household-related activities (e.g., fetching water), while it increases the probability of child wasting. Moreover, using mediation analysis, I find that none of the mothers’ time-use variables appears to be a mediating factor between rainfall variability and child nutrition. These results suggest that mothers adjust their time use due to rainfall variability without jeopardizing their children’s nutritional levels.
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.
Domestic wells provide drinking water to 44 million people nationwide. Many of these wells, which remain federally unregulated and rarely tested for pollutants, serve rural populations clustered near surface-contaminated sites (e.g., hazardous waste sites, animal agriculture operations, coal ash ponds, etc.). The potential for natural disasters to deteriorate drinking water quality is well documented. Less understood is whether opportunistic post-disaster sampling might underrepresent vulnerable populations. When disaster strikes, well water sampling campaigns offer a glimpse into the quality of water for exposed residents. We examined over 8,000 well water samples from 2016 and 2017 to measure Hurricane Matthew’s impact on the presence of indicator bacteria. Bacteria presence was predicted at the household level following Hurricane Matthew’s landfall. The residential addresses associated with birth records as well as clinically estimated dates of conception and birth dates were used to predict the likelihood of indicator bacteria in drinking water sources that were unsampled but likely to have served pregnant women. We estimate that opportunistic well water sampling captures the average predicted contamination rates among households with pregnant women. Our approach documents a distribution of contamination risk where 2.7% of the vulnerable sample (670 unsampled households) have a 75% likelihood of total coliform presence. The predicted likelihood of indicator bacteria is elevated for a small share of households nearby swine lagoons that experienced the most torrential rainfall. However, the gap between sampled and unsampled households cannot otherwise be explained by the storm event or proximity to surface-contaminated sites. Findings suggest that sophisticated and holistic water quality prediction models may support post-disaster sampling campaigns by targeting individual households within vulnerable groups that are likely to experience higher risks from groundwater contamination.
Few studies examined the association between prenatal long-term ambient temperature exposure and stillbirth and fewer still from developing countries. Rather than ambient temperature, we used a human thermophysiological index, Universal Thermal Climate Index (UTCI) to investigate the role of long-term heat stress exposure on stillbirth in Ghana. METHODS: District-level monthly UTCI was linked with 90,532 stillbirths of 5,961,328 births across all 260 local districts between 1(st) January 2012 and 31(st) December 2020. A within-space time-series design was applied with distributed lag nonlinear models and conditional quasi-Poisson regression. RESULTS: The mean (28.5 ± 2.1 °C) and median UTCI (28.8 °C) indicated moderate heat stress. The Relative Risks (RRs) and 95% Confidence Intervals (CIs) for exposure to lower-moderate heat (1st to 25th percentiles of UTCI) and strong heat (99th percentile) stresses showed lower risks, relative to the median UTCI. The higher-moderate heat stress exposures (75th and 90th percentiles) showed greater risks which increased with the duration of heat stress exposures and were stronger in the 90th percentile. The risk ranged from 2% (RR = 1.02, 95% CI 0.99, 1.05) to 18% (RR = 1.18, 95% CI 1.02, 1.36) for the 90th percentile, relative to the median UTCI. Assuming causality, 19 (95% CI 3, 37) and 27 (95% CI 3, 54) excess stillbirths per 10,000 births were attributable to long-term exposure to the 90th percentile relative to median UTCI for the past six and nine months, respectively. Districts with low population density, low gross domestic product, and low air pollution which collectively defined rural districts were at higher risk as compared to those in the high level (urban districts). DISCUSSION: Maternal exposure to long-term heat stress was associated with a greater risk of stillbirth. Climate change-resilient interventional measures to reduce maternal exposure to heat stress, particularly in rural areas may help lower the risk of stillbirth.
Somali post-conflict development faces many challenges that affect the sustainability of the water sector. This paper reviews and analyses the post-conflict development activities in the water sector through local communications and reviewing published materials and databases from international players in Somalia, funding agencies and financial tracking service. The paper has shown that there has been great attention and support given to the country during its post-conflict development. However, most of these initiatives and projects have focused on emerging issues such as tackling food security and water, sanitation and hygiene services. The paper also shows that the continuous funding of emerging issues in Somalia has reduced its long-term sustainability of the water sector and limited its national and long-term benefits but has increased corruption due to increase the gap between actors and local people. Therefore, new transparent cooperative initiatives are needed based on transparent involvement and coordination among donors, local authorities and implementers to improve and develop the water sector and the livelihood in Somalia through a solid water governance system.
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.
The recurrence of compound flooding in Eastern North Carolina (ENC) leads to place-based short-and long-term health effects in a predominantly rural coastal region. Findings from focus groups with planners, emergency managers, and public officials in 2020 (41 participants) and 2022 (24 participants), show that ENC communities experience place-based health effects that fall under three areas including healthcare access for special needs and aging populations, respiratory and water-borne diseases, and stress and mental health. While, the lack of quantifiable data and indicators of health impacts creates barriers to appropriate responses, greater investments to improve primary care and better data collection tools can mitigate the health challenges of compound floods in rural ENC.
BACKGROUND: The effects of climate change are seen with a rise of extreme weather and climate events (EWCEs) which lead to the closures of many healthcare facilities, such as community pharmacies. Pharmacists in community pharmacies are seen as the most accessible healthcare professional to the public and are responsible for the continued delivery of care to patients. However, amid closures due to EWCEs and the emergence of pharmacy deserts, there is decreased access to pharmacies and a disruption of care. OBJECTIVE: It is important to address the preparedness and accessibility of pharmacies post-EWCEs to guide future research and policy. Additionally, to tackle health disparities that arise due to pharmacy deserts, the populations most affected by a decreased access to pharmacies should be identified. We conducted a scoping review to assess the preparedness and accessibility of pharmacies post-EWCEs and to identify populations most affected by pharmacy deserts. METHODS: We searched PubMed, Embase, and Web of Science from January 1, 2012 to September 30, 2022 and included all English-language, peer-reviewed primary literature that examined the preparedness and accessibility of community pharmacies in the United States post-EWCEs and addressed disparities within pharmacy deserts. Studies meeting these criteria were screened of their titles and abstracts by the first author and discrepancies were resolved with co-authors. We used Covidence for data extraction. RESULTS: A total of 472 studies were identified (196 duplicates removed) and after screening, 53 studies were assessed for eligibility. The results of included publications (N = 26) showed that pharmacists and pharmacies are not equipped with the necessary emergency protocols which could lead to decreased access of pharmacies in the wake of EWCEs. Pharmacy deserts disproportionately affect residents living in rural, lower income, and Black/African American and Hispanic/Latino neighborhoods. The lack of preparedness of pharmacies post-EWCEs could worsen medication access. CONCLUSION: This scoping review addresses challenges impacting pharmacies and patients post-EWCEs and within pharmacy deserts. In times of increased need, these challenges implicate the well-being of communities affected by EWCEs by breaking the continuum of care and access to medications. Here we offer suggestions for future research and directions for policy change.
Zoonotic diseases negatively impact pastoral communities in Ethiopia. In addition to impacts on human health, the interaction between people, livestock and environment which is so fundamental to the pastoralist way of life, means zoonoses pose additional challenges to social bonds and protection networks. These challenges are compounded by adverse impacts from climate change, poor health care services, market problems and cultural practices that increase pastoralists’ vulnerability to zoonotic diseases. This research adopted a grounded theory approach and attempted to capture the perception of Hamer and Dassenetch pastoralists on zoonotic diseases and rangeland health through focus group discussions and key informant interviews. Involved in the research were human and animal health experts, and woreda (Woreda is a third level of administrative unit in Ethiopia following region and zone) level government officials. Thematic framework analysis was used to analyse the data. Zoonotic diseases are a significant public health concern and have a substantial economic burden on local livelihoods. Poor access to human and livestock health services contributed towards the widespread transmission of zoonotic pathogens. In most cases, pastoralists were aware of the possibility of zoonotic disease transmission from livestock to humans and were cognizant of infections contracted from animals. However, the level of risk perception from zoonotic diseases and the subsequent measures of protection was poor. In almost all cases, despite pastoralists’ awareness of zoonotic diseases, they did not consider zoonoses as harmful to human health as they are to animals. It was evident that the burden of zoonotic diseases was high in livestock camps away from settlements in Hamer while for Dassenetch the resettlement clusters created a conducive environment for transmission. This research underscored the importance of engaging with local communities on the risk implications of zoonotic diseases including those related to their food habits and practices.
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.
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.
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.
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.
The knowledge regarding male out-migration due to climate change and large-scale, rapid-onset disasters and their impacts on the left-behind families is well known. However, research on the adaptation strategies for the families left behind due to disaster-induced male-out seasonal migration is rarely carried out. Thus, this study attempts to explore the coping and adaptation strategies adopted by the left-behind families in the salinity-induced male out-migration context. Analyzing the factors affecting the adaptation behaviors is also a major objective of this study. The study was carried out in Shyamnagar sub-district of coastal Bangladesh, where male-out seasonal migration for both rapid and slow-onset disasters is evidenced. The data regarding the adaptation measures were explored through different participatory rural appraisal techniques. Primary data were collected from 213 women from the left-behind families through a semi-structured questionnaire. Descriptive statistics as well as multiple linear regression for analyzing the factors affecting adaptation behaviors were applied. The results revealed that the left-behind families, especially the women and children, adopted a total of 35 coping and adaptation strategies in five different aspects, such as economic adaptation, social adaptation measures, environmental measures, educational measures, and health-related measures. Migrant husbands’ age and their education, the household’s alternative income sources’ availability, receiving loans, disaster history, and migration history variables contributed most significantly to the adaptation behavior. This study provides a new perspective on seasonal male out-migration and the adaptation strategies of the left-behind families, which could be helpful for disaster-induced human migration management and enhancing the resilience of vulnerable communities.
Research on sense of place suggests that people’s understandings of themselves and others is closely tied to the feelings they have about the place where they reside. Solastalgia expands on this sociological concept by considering the impacts on the various benefits derived from place when a landscape is changed through acute or chronic environmental disruptions. As such, climate-related disasters affect both tangible and intangible goods. Using 24 qualitative interviews with residents of Paradise, California several months after a wildfire destroyed their town, this exploratory study examines three ways in which the solastalgia experience is socially constructed. This occurs through disruptions to coping resources found in the natural world, embeddedness of history in place, and the experience of “homesickness” for a changed landscape.
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.
Future climate changes are projected to adversely affect mortality risk of cardiovascular disease (CVD) in urbanized regions. However, future temperature-related excess CVD hospitalizations in rural residents with poorer socioeconomic status is not well understood. Moreover, influence of aging and declining rural population are rarely considered. Using CVD hospitalizations in rural residents during 2010-2016 in eight regions in southeastern China, the region-specific temperature-CVD associations were estimated by generalized additive models, which were combined by a meta-regression. We projected excess CVD hospitalizations due to temperature using regional associations for 27 climate models under scenarios of climate change for 2010-2099. To reveal the influences of aging and declining rural population, age-specific associations and future population change ratio were used to estimate age-specific number of temperature-related hospitalizations. We found that heat-related hospitalizations in rural residents from ischemic stroke, ischemic heart disease and cerebrovascular disease are projected to increase in the 2090 s, although the excess CVD hospitalizations associated with future temperature in rural residents will reduce in the 2090 s. Rural population aging amplifies temperature-related CVD burden by >2.34-fold under SSPs in the 2050 s compared to scenarios with only population declining, although rural population reduction will reduce the temperature-related CVD hospitalizations in the 2090 s. The elderly, male and those lived in Longyan and Sanming could be more affected. These findings suggest that future heat is projected to increase hospitalizations of some CVD subcategories. Policies are needed to mitigate increasing temperature and baseline hospitalization rate. The impact of population aging is noteworthy.
Extreme temperatures are known to cause adverse health outcomes. Yet knowledge on the magnitude of this effect in developing countries is limited due to data availability and reliability issues. Collecting data for 2872 counties in China, we estimate the effects of daily temperatures on the monthly mortality rate. The results indicate that an additional day for which the maximum temperature is 38°C or above on average increases the monthly mortality rate by about 1.7% relative to if that day’s maximum temperature had been in the range 16-21°C. This is after deducting deaths harvested from the subsequent month. Higher gross domestic product per capita at the county level is associated with lower mortality effects of hot and cold days. Improved dwelling conditions are found to be associated with a lower mortality effect of hot days and improved local healthcare infrastructure to be associated with a lower mortality effect of cold days. In the absence of strong adaptation efforts, the estimates suggest net upward pressure on annual mortality rates over coming decades in many populous counties, especially under more extreme climate change scenarios.
People with HIV (PWH) are disproportionately vulnerable to the impacts of wildfires, given the need for frequent access to healthcare systems, higher burden of comorbidities, higher food insecurity, mental and behavioral health challenges, and challenges of living with HIV in a rural area. In this study, we aim to better understand the pathways through which wildfires impact health outcomes among PWH. METHODS: From October 2021 through February 2022, we conducted individual semi-structured qualitative interviews with PWH impacted by the Northern California wildfires and clinicians of PWH who were impacted by wildfires. The study aims were to explore the influence of wildfires on the health of PWH and to discuss measures at the individual, clinic, and system levels that helped to mitigate these impacts. RESULTS: We interviewed 15 PWH and 7 clinicians. While some PWH felt that surviving the HIV epidemic added to their resilience against wildfires, many felt that the wildfires compounded the HIV-related traumas that they have experienced. Participants outlined five main routes by which wildfires negatively impacted their health: (1) access to healthcare (medications, clinics, clinic staff), (2) mental health (trauma; anxiety, depression, or stress; sleep disturbances; coping strategies), (3) physical health (cardiopulmonary, other co-morbidities), (4) social/economic impacts (housing, finances, community), and (5) nutrition and exercise. The recommendations for future wildfire preparedness were at the (1) individual-level (what to have during evacuation), (2) pharmacy-level (procedural, staffing), and (3) clinic- or county-level (funds and vouchers; case management; mental health services; emergency response planning; other services such as telehealth, home visits, home laboratory testing). CONCLUSIONS: Based on our data and prior research, we devised a conceptual framework that acknowledges the impact of wildfires at the community-, household-, and individual-level with implications for physical and mental health outcomes among PWH. These findings and framework can help in developing future interventions, programs, and policies to mitigate the cumulative impacts of extreme weather events on the health of PWH, particularly among individuals living in rural areas. Further studies are needed to examine health system strengthening strategies, innovative methods to improve access to healthcare, and community resilience through disaster preparedness. TRIAL REGISTRATION: N/A.
The scale of climate migration across the Global South is expected to increase during this century. By 2050, millions of Africans are likely to consider, or be pushed into, migration because of climate hazards contributing to agricultural disruption, water and food scarcity, desertification, flooding, drought, coastal erosion, and heat waves. However, the migration-climate nexus is complex, as is the question of whether migration can be considered a climate change adaptation strategy across both the rural and urban space. Combining data from household surveys, key informant interviews, and secondary sources related to regional disaster, demographic, resource, and economic trends between 1990 and 2020 from north central and central dryland Namibia, we investigate (i) human migration flows and the influence of climate hazards on these flows and (ii) the benefits and dis-benefits of migration in supporting climate change adaptation, from the perspective of migrants (personal factors and intervening obstacles), areas of origin, and areas of destination. Our analysis suggests an increase in climate-related push factors that could be driving rural out-migration from the north central region to peri-urban settlements in the central region of the country. While push factors play a role in rural-urban migration, there are also several pull factors (many of which have been long-term drivers of urban migration) such as perceived higher wages, diversity of livelihoods, water, health and energy provisioning, remittances, better education opportunities, and the exchange of non-marketed products. Migration to peri-urban settlements can reduce some risks (e.g. loss of crops and income due to climate extremes) but amplify others (e.g. heat stress and insecure land tenure). Adaptation at both ends of the rural-urban continuum is supported by deeply embedded linkages in a model of circular rural-urban-rural migration and interdependencies. Results empirically inform current and future policy debates around climate mobilities in Namibia, with wider implications across Africa.
Heat- and cold-related mortality risks are highly variable across different geographies, suggesting a differential distribution of vulnerability factors between and within countries, which could partly be driven by urban-to-rural disparities. Identifying these drivers of risk is crucial to characterize local vulnerability and design tailored public health interventions to improve adaptation of populations to climate change. We aimed to assess how heat- and cold-mortality risks change across urban, peri-urban and rural areas in Switzerland and to identify and compare the factors associated with increased vulnerability within and between different area typologies. We estimated the heat- and cold-related mortality association using the case time-series design and distributed lag non-linear models over daily mean temperature and all-cause mortality series between 1990-2017 in each municipality in Switzerland. Then, through multivariate meta-regression, we derived pooled heat and cold-mortality associations by typology (i.e. urban/rural/peri-urban) and assessed potential vulnerability factors among a wealth of demographic, socioeconomic, topographic, climatic, land use and other environmental data. Urban clusters reported larger pooled heat-related mortality risk (at 99th percentile, vs. temperature of minimum mortality (MMT)) (relative risk=1.17(95%CI:1.10;1.24, vs peri-urban 1.03(1.00;1.06), and rural 1.03 (0.99;1.08)), but similar cold-mortality risk (at 1st percentile, vs. MMT) (1.35(1.28;1.43), vs rural 1.28(1.14;1.44) and peri-urban 1.39 (1.27-1.53)) clusters. We found different sets of vulnerability factors explaining the differential risk patterns across typologies. In urban clusters, mainly environmental factors (i.e. PM(2.5)) drove differences in heat-mortality association, while for peri-urban/rural clusters socio-economic variables were also important. For cold, socio-economic variables drove changes in vulnerability across all typologies, while environmental factors and ageing were other important drivers of larger vulnerability in peri-urban/rural clusters, with heterogeneity in the direction of the association. Our findings suggest that urban populations in Switzerland may be more vulnerable to heat, compared to rural locations, and different sets of vulnerability factors may drive these associations in each typology. Thus, future public health adaptation strategies should consider local and more tailored interventions rather than a one-size fits all approach. size fits all approach.
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.
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.
OBJECTIVE: This study evaluated the effects of extreme temperatures on hospital admissions for respiratory diseases (RD) in a semi-arid region in the Northwest of China. METHODS: Distributed lag non-linear model was constructed and stratified analysis by gender and age was performed. RESULTS: The exposure-response curve between temperature and RD hospital admissions was almost W-shaped. Either extremely cold temperatures or moderately cold temperatures presented a short-term acute harmful effect, and the relative risks were higher among males (1.976, 95%CI: 1.773-2.203; 1.242, 95% CI: 1.203-1.282) and the elderly (2.363, 95% CI: 1.724-3.240; 1.267, 95% CI: 1.154-1.390). Both extreme and moderately hot temperatures had higher risks among females (2.040, 95% CI: 1.815-2.292; 1.328, 95% CI: 1.276-1.381). CONCLUSIONS: The relationship between air temperature and RD hospital admissions was non-linear. Vulnerable populations varied according to extreme temperature conditions.
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.
Climate change presents multiple challenges to rural communities. Here, we investigated the toxicological potential of the six types of particulate matter most common to rural Arkansas: soil, road, and agricultural dusts, pollen, traffic exhaust, and particles from biomass burning in human small airway epithelial cells (SAECs). Biomass burning and agricultural dust demonstrated the most potent toxicological responses, exhibited as significant (p < 0.05) up-regulation of HMOX1 (oxidative stress) and TNF alpha (inflammatory response) genes as well as epigenetic alterations (altered expression of DNA methyltransferases DNMT1, DNMT3A, and DNMT3B, enzymatic activity, and DNA methylation of alpha satellite elements) that were evident at both 24 h and 72 h of exposure. We further demonstrate evidence of aridification in the state of Arkansas and the presence of winds capable of transporting agricultural dust- and biomass burning-associated particles far beyond their origination. Partnerships in the form of citizen science projects may provide important solutions to prevent and mitigate the negative effects of the rapidly evolving climate and improve the well-being of rural communities. Furthermore, the identification of the most toxic types of particulate matter could inform local policies related to agriculture, biomass burning, and dust control.
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.
Climate change and its associated impacts on human health are serious and growing challenges. Yet, despite elevated health disparities, unique underlying vulnerabilities, and distinctive ecosystems, little research has been conducted in rural mountain environments to understand climate-health interactions. The climate change and health workshop in rural mountain environments was held at Appalachian State University in Boone, North Carolina, United States, to address these research gaps. Experts, community members, and students from diverse disciplines engaged in World Cafe brainstorms and open-ended discussions to highlight needs across seven research priority themes, which focused on rural southern Appalachia but are applicable to other rural mountain environments: (1) anticipating climate change-driven environmental changes specific to rural mountain environments; (2) identifying and reaching vulnerable populations; (3) building health care access security during weather disasters; (4) building mental health support security in the context of climate change; (5) vector-borne disease resilience; (6) building food security in the context of climate change; and (7) public education and conversations of climate change. This report summarizes the workshop findings and provides a template for future research at the intersection of climate and health, including but not limited to establishing multi-sector and interdisciplinary working groups with clear objectives, enhancing knowledge and understanding of key issues, as well as acting collaboratively and engaging with stakeholders to build resilience in rural mountain environments to address the effects of climate change on human health.
Populations that are reliant on subsistence farming are particularly vulnerable to climatic effects on crop yields. However, empirical evidence on the role of the timing of exposure to crop yield deficits in early-life development is limited. We examined the relationship between child survival and annual crop yield reductions at different stages of early-life development in a subsistence farming population in Burkina Faso. Using shared frailty Cox proportional hazards models adjusting for confounders, we analyzed 57,288 children under 5 years of age followed by the Nouna Health and Demographic Surveillance System (1994-2016) in relation to provincial food-crop yield levels experienced in 5 nonoverlapping time windows (12 months before conception, gestation, birth-age 5.9 months, ages 6.0 months-1.9 years, and ages 2.0-4.9 years) and their aggregates (birth-1.9 years, first 1,000 days from conception, and birth-4.9 years). Of the nonoverlapping windows, point estimates were largest for child survival related to food-crop yields for the time window of 6.0 months-1.9 years: The adjusted mortality hazard ratio was 1.10 (95% confidence interval: 1.03, 1.19) for a 90th-to-10th percentile yield reduction. These findings suggest that child survival in this setting is particularly vulnerable to cereal-crop yield reductions during the period of nonexclusive breastfeeding.
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.
Many dimensions of human life and the environment are vulnerable to anthropogenic climate change and the hazards associated with it. There are several indices and metrics to quantify climate hazards that can inform preparedness and planning at different levels e.g., global, regional, national, and local. This study uses biased corrected climate projections of temperature and precipitation to compute characteristics of potential climate hazards that are pronounced in the Gomal Zam Dam Command Area (GZDCA)- an irrigated agricultural area in Khyber Pakhtunkhwa province of Pakistan. The results answer the question of what the future holds in the GZDCA regarding climate hazards of heatwaves, heavy precipitation, and agricultural drought. The results of heatwaves and agricultural drought present an alarming future and call for immediate actions for preparedness and adaptation. The magnitude of drought indices for the future is correlated with the crop yield response based on AquaCrop model simulations with observed climate data being used as input. This correlation provides insight into the suitability of various drought indices for agricultural drought characterization. The results elaborate on how the yield of wheat crop grown in a typical setting common in the South Asian region respond to the magnitude of drought indices. The findings of this study inform the planning process for changing climate and expected climate hazards in the GZDCA. Analyzing climate hazards for the future at the local level (administrative districts or contiguous agricultural areas) might be a more efficient approach for climate resilience due to its specificity and enhanced focus on the context.
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.
Access to safe drinking water and improved sanitation are important fundamental rights of people around the world to maintain good health. However, freshwater resources are threatened by many anthropogenic activities. Therefore, sustainable water supply is a challenge. Limited access to safe drinking water and unimproved sanitation facilities in some of its urban and rural areas are two of the major challenges for Bhutan in the 21st century. The water quality in the natural water systems in the cities and suburbs has significantly decreased while the urban infrastructure is being improved in Bhutan. Therefore, this study presents the state-of-the-art of water resources in Bhutan and the challenges for a sustainable water supply system. The current water status, drinking water sources and accessibility, factors affecting water quality degradation in urban and rural areas, water treatment methods, and implementation of sustainable drinking water accessibility with population growth in Bhutan are discussed in detail. Results of the review revealed that the water quality has deteriorated over the last decade and has a high challenge to provide safe water to some of the areas in Bhutan. Geographic changes, financial difficulties, urban expansion, and climate change are the reasons for the lack of safe drinking water accessibility for people in town areas. It is, therefore, recommended to have a comprehensive integrate water resources management (IWRM) approach while considering all stakeholders to find sustainable solutions for the challenges showcased in this paper.
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.
BACKGROUND: Extreme weather, including heat and extreme rainfall, is projected to increase owing to climate change, which can have adverse impacts on human health. In particular, rural populations in sub-Saharan Africa are at risk because of a high burden of climate-sensitive diseases and low adaptive capacities. However, there is a lack of data on the regions that are anticipated to be most exposed to climate change. Improved public health surveillance is essential for better decision-making and health prioritization and to identify risk groups and suitable adaptation measures. Digital technologies such as consumer-grade wearable devices (wearables) may generate objective measurements to guide data-driven decision-making. OBJECTIVE: The main objective of this observational study was to examine the impact of weather exposure on population health in rural Burkina Faso using wearables. Specifically, this study aimed to assess the relationship between individual daily activity (steps), sleep duration, and heart rate (HR), as estimated by wearables, and exposure to heat and heavy rainfall. METHODS: Overall, 143 participants from the Nouna health and demographic surveillance system in Burkina Faso wore the Withings Pulse HR wearable 24/7 for 11 months. We collected continuous weather data using 5 weather stations throughout the study region. The heat index and wet-bulb globe temperature (WBGT) were calculated as measures of heat. We used linear mixed-effects models to quantify the relationship between exposure to heat and rainfall and the wearable parameters. Participants kept activity journals and completed a questionnaire on their perception of and adaptation to heat and other weather exposure. RESULTS: Sleep duration decreased significantly (P<.001) with higher heat exposure, with approximately 15 minutes shorter sleep duration during heat stress nights with a heat index value of ≥25 °C. Many participants (55/137, 40.1%) reported that heat affected them the most at night. During the day, most participants (133/137, 97.1%) engaged in outdoor physical work such as farming, housework, or fetching water. During the rainy season, when WBGT was highest, daily activity was highest and increased when the daily maximum WBGT surpassed 30 °C during the rainiest month. In the hottest month, daily activity decreased per degree increase in WBGT for values >30 °C. Nighttime HR showed no significant correlation with heat exposure. Daytime HR data were insufficient for analysis. We found no negative health impact associated with heavy rainfall. With increasing rainfall, sleep duration increased, average nightly HR decreased, and activity decreased. CONCLUSIONS: During the study period, participants were frequently exposed to heat and heavy rainfall. Heat was particularly associated with impaired sleep and daily activity. Essential tasks such as harvesting, fetching water, and caring for livestock expose this population to weather that likely has an adverse impact on their health. Further research is essential to guide interventions safeguarding vulnerable communities.
We conducted this qualitative study to explore the life recovery experiences of farmers in one of the worst flood-hit districts of Pakistan. Data were gathered in August 2020, ten years after the disastrous 2010 floods, which hit a significant population of the country. In-depth interviews and focus group discussions were conducted to document the subjective evaluation of the study participants with regard to restoration and readjustment of routine social life, work and livelihoods. Specifically, we asked the farmers to share their life recovery experiences by recalling the factors that helped and hindered their recovery process. Thematic analysis uncovered that personal resilience, belief system, bonding social capital, formal aid and previous flood experience were the major factors that contributed positively to the farmers’ life recovery. Political patronization and perceived unfairness in distribution of disaster aid were major factors that hindered the pace of their life recovery. In general, the findings of the study indicate that positive life recovery feelings of flood affected farmers are associated with resilience/vulnerabilities at individual and community level. Flood affected famers’ life recovery experiences are shaped by trade-offs between social vulnerabilities and resilience.
Air pollution poses well-established risks to physical health, but little is known about its effects on mental health. We study the relationship between wildfire smoke exposure and suicide risk in the United States in 2007 to 2019 using data on all deaths by suicide and satellite-based measures of wildfire smoke and ambient fine particulate matter (PM(2.5)) concentrations. We identify the causal effects of wildfire smoke pollution on suicide by relating year-over-year fluctuations in county-level monthly smoke exposure to fluctuations in suicide rates and compare the effects across local areas and demographic groups that differ considerably in their baseline suicide risk. In rural counties, an additional day of smoke increases monthly mean PM(2.5) by 0.41 μg/m(3) and suicide deaths by 0.11 per million residents, such that a 1-μg/m(3) (13%) increase in monthly wildfire-derived fine particulate matter leads to 0.27 additional suicide deaths per million residents (a 2.0% increase). These effects are concentrated among demographic groups with both high baseline suicide risk and high exposure to outdoor air: men, working-age adults, non-Hispanic Whites, and adults with no college education. By contrast, we find no evidence that smoke pollution increases suicide risk among any urban demographic group. This study provides large-scale evidence that air pollution elevates the risk of suicide, disproportionately so among rural populations.
U.S. wildfire activity has increased over the past several decades, disrupting the systems and infrastructure that support community health and resilience. As the cumulative burden of wildfire damage is projected to increase, understanding an effective community recovery process is critically important. Through qualitative interviews with leaders of long-term recovery organizations (LTROs), a key component of wildfire recovery, we explored barriers and facilitators to LTROs’ ability to support post-wildfire needs among rural communities. Between February-May 2022, we conducted surveys and semi-structured interviews with 18 leaders from six LTROs serving rural communities in Washington, Oregon, and California impacted by wildfires between 2015-2020. The Robert Wood Johnson Foundation’s Culture of Health Framework informed the semi-structured interview guide and a priori codebook, to examine LTROs’ ability to address post-wildfire community needs from a health equity perspective. Additional codes were added through an inductive approach, and emerging themes were identified. Our findings indicate that LTROs face many barriers in addressing community needs post-wildfire, including the policies governing access to and the slow arrival of recovery resources, the intertwined nature of community economic health and built environment restoration, and the challenge of forming a functional LTRO structure. However, participants also identified facilitators of LTROs’ work, including the ability of LTROs and their government partners to adapt policies and procedures, and close collaboration with other community organizations. Factors both internal and external to the community and LTROs’ organizational characteristics influence their ability to address community needs, essential to health, post-wildfire. This study’s findings suggest the need for policy improvements to promote more equitable recovery resource access, that economic recovery should be a core LTRO function, and that recovery planning should be incorporated into community disaster preparedness activities. Future research should focus on LTROs’ role in other contexts and in response to other disasters.
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.
Extreme heat events are occurring more frequently and with greater intensity due to climate change. They result in increased heat stress to populations causing human health impacts and heat-related deaths. The urban environment can also exacerbate heat stress because of man-made materials and increased population density. Here we investigate the extreme heatwaves in the western U.S. during the summer of 2021. We show the atmospheric scale interactions and spatiotemporal dynamics that contribute to increased temperatures across the region for both urban and rural environments. In 2021, daytime maximum temperatures during heat events in eight major cities were 10-20 °C higher than the 10-year average maximum temperature. We discuss the temperature impacts associated with processes across scales: climate or long-term change, the El Niño-Southern Oscillation, synoptic high-pressure systems, mesoscale ocean/lake breezes, and urban climate (i.e., urban heat islands). Our findings demonstrate the importance of scale interactions impacting extreme heat and the need for holistic approaches in heat mitigation strategies.
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).
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.
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.
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.
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.
Storms continue to be the deadliest type of weather-related disasters globally. The Philippines is one of the most at risk countries to disasters, yet there continues to be gaps in understanding where and why people are killed in typhoons – the country’s most prominent natural hazard. This research sought to understand how typhoon mortality varies across the Philippines at the municipal level, focusing on differences in rural and urban municipalities between 2005 and 2015. Generalised linear regression models (GLMs), including Poisson and negative binomial (NB), were used to analyse the relationship between typhoon mortality and level of urbanisation while controlling for social vulnerability and typhoon exposure. Findings indicate that typhoon mortality is disproportionality concentrated in emerging, rather than established, urban centres. Deaths from typhoons were significantly higher per capita in older age groups and amongst men, with drowning accounting for 71% of deaths, although there is uncertainty in these later trends which show the need for investment in national disaster databases. Our results make contributions to understanding of urban-rural patterns of disaster risk and the determinants of typhoon mortality in the Philippines.
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.
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.
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.
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.
Exposure to heat and heatwaves are associated with mortality and may amplify morbidities. In a climate change context, projections suggest temperatures will likely rise in the foreseeable future. Our paper assesses the current knowledge on human health effects of heat exposure and gathered local knowledge of heat-health effects in a rural area of the Agincourt sub-district of South Africa. Existing, peer-reviewed published literature on heat effects on human health as well as heat-health indicators was reviewed. Interviews and structured observations to collect data on heat effects on human health in Agincourt sub-district were conducted. The Lancet Countdown heat-related indicators were applied as a framework against which to discuss our findings. A total of 93 participants who lived in Agincourt sub-district for 5 years and more were interviewed. Participants reported that temperatures, especially summertime temperatures, had been rising over the past years. Health effects of heat were deemed more apparent in relation to morbidity. Heatwaves were not easily comprehensible as singular ‘events’, and their effects were poorly understood. The population groups disproportionately affected by heat included infants, the elderly, those living with disability and outdoor workers. High ambient temperatures were deemed to be associated with reduced labour productivity of outdoor workers. Community-level perceptions of heat impacts on health were mainly related to illnesses and diseases, with no understanding of mortality risk. Future health awareness campaigns that encompass the full range of heat-health impacts are essential to reduce vulnerability, morbidity, and mortality. Our study provided location-specific, qualitative, and indicator-aligned data for a geographic area expected to undergo significant heat stress in the future. The study findings have significant research, policy, and practice implications in similar resource-limited settings.
BACKGROUND: Meteorological factors can affect the emergence of scrub typhus for a period lasting days to weeks after their occurrence. Furthermore, the relationship between meteorological factors and scrub typhus is complicated because of lagged and non-linear patterns. Investigating the lagged correlation patterns between meteorological variables and scrub typhus may promote an understanding of this association and be beneficial for preventing disease outbreaks. METHODS: We extracted data on scrub typhus cases in rural areas of Panzhihua in Southwest China every week from 2008 to 2017 from the China Information System for Disease Control and Prevention. The distributed lag non-linear model (DLNM) was used to study the temporal lagged correlation between weekly meteorological factors and weekly scrub typhus. RESULTS: There were obvious lagged associations between some weather factors (rainfall, relative humidity, and air temperature) and scrub typhus with the same overall effect trend, an inverse-U shape; moreover, different meteorological factors had different significant delayed contributions compared with reference values in many cases. In addition, at the same lag time, the relative risk increased with the increase of exposure level for all weather variables when presenting a positive association. CONCLUSIONS: The results found that different meteorological factors have different patterns and magnitudes for the lagged correlation between weather factors and scrub typhus. The lag shape and association for meteorological information is applicable for developing an early warning system for scrub typhus.
Workplace and environmental exposures pose health risks for racial/ethnic minorities in rural agricultural communities, placing them at a disadvantage in accessing needed health care. Over three fourths (76%) of the 2.4 million farmworkers in the United States are immigrants, mostly from Mexico. However, little is known of the community health concerns and barriers to care of Latinx farmworkers in inland southern California. This qualitative study used a community-based participatory research approach, conducting nine in-home meetings to obtain meaningful community input on health concerns and barriers to access healthcare services among rural residents of the Eastern Coachella Valley, who are also located near the desert-bound Salton Sea of inland southern California. All interviews were audio-recorded and analyzed via listening to the audio recordings and summarizing data in templates and matrices. Participants discussed health concerns related to agricultural labor, including heat-related illness, musculoskeletal ailments and injuries, skin disorders, respiratory illness, and trauma. Participants raised concerns about environmental exposures related to agriculture and the nearby Salton Sea, a highly saline lakebed, and proposed solutions to improve the health of their communities. The findings from this study suggest farmworkers are aware of the health risks posed by living and working in rural farmlands but lack resources and information to act upon and advocate for improved public health.
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.
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.
Surface ozone (O-3) is a secondary air pollutant, harmful to human health and vegetation. To provide a long-term study of O-3 concentrations in Portugal (study period: 2009-2019), a statistical analysis of ozone trends in rural stations (where the highest concentrations can be found) was first performed. Additionally, the effect of nitrogen oxides (NOx) and meteorological variables on O-3 concentrations were evaluated in different environments in northern Portugal. A decreasing trend of O-3 concentrations was observed in almost all monitoring stations. However, several exceedances to the standard values legislated for human health and vegetation protection were recorded. Daily and seasonal O-3 profiles showed high concentrations in the afternoon and summer (for all inland rural stations) or spring (for Portuguese islands). The high number of groups obtained from the cluster analysis showed the difference of ozone behaviour amongst the existent rural stations, highlighting the effectiveness of the current geographical distribution of monitoring stations. Stronger correlations between O-3, NO, and NO2 were detected at the urban site, indicating that the O-3 concentration was more NOx-sensitive in urban environments. Solar radiation showed a higher correlation with O-3 concentration regarding the meteorological influence. The wind and pollutants transport must also be considered in air quality studies. The presented results enable the definition of air quality policies to prevent and/or mitigate unfavourable outcomes from O-3 pollution.
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.
BACKGROUND: While natural disasters like hurricanes are increasingly common, their long-term effects on people who inject drugs are not well understood. Although brief in duration, natural disasters can radically transform risk environments, increasing substance use and drug-related harms. METHODS: Based on a study of people who inject drugs (PWID) and injection risk behaviors in rural Puerto Rico, the present study uses data from two different phases of the parent study. Data for 110 participants were collected from December 2015 to January 2017, soon before Hurricane Maria landed in September 2017; the 2019 phase, in the aftermath of the hurricane, included a total of 103 participants. The present study’s main analyses used data from 66 PWID who participated in both the pre-Maria and post-Maria interviews (66 individuals measured at two time points, for a total of 132 observations), using mixed-effects binomial logistic regression to examine recent overdose experiences pre- and post-Maria. A separate descriptive analysis included all 103 participants from the 2019 interview. RESULTS: After Hurricane Maria, some declines in injection frequency were observed (the percentage of people reporting injecting monthly or less increased from 3.0% before Hurricane Maria to 22.7% after Hurricane Maria). However, fewer PWID reported using a new needle for most or all injections. In the pre-Maria interview, 10.6% of participants indicated they had experienced an overdose during the year of the interview and/or the calendar year prior, and this figure increased to 24.2% in the post-Maria interview. In the regression analysis, the odds of reporting an overdose during the interview year and/or calendar year prior were three times as high post-Maria, relative to pre-Maria (odds ratio 3.25, 95% confidence interval 1.06-9.97). CONCLUSION: Substance use patterns, injection risk behaviors, and overdose episodes and deaths differed after Hurricane Maria, relative to before the hurricane, yet it is unclear to what extent these changes also reflect the simultaneous arrival of fentanyl. In preparation for future natural disasters, it is imperative to strengthen the health infrastructure by enhancing access and curbing barriers to syringe services programs and medications for opioid use disorder, particularly in rural or underserved locations.
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.
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.
BACKGROUND: The health effects of climate change have been found to be a global concern for the last 2 centuries. However, the effect of climate variability on diarrhoea among under-five-year-old children is perhaps undocumented or otherwise unknown. The aim of the present study was to determine the effect of climate variability on diarrhoea among children under 5 years of age. METHODS: A community-based longitudinal study was conducted over 8 repeated visits from June 2016 to May 2018 at the Kersa Demographic Surveillance and Health Research Center. A total of 500 randomly selected households and their 48 improved water sources were included in the survey from 3 agro-ecological zones, the rural and urban areas of the study area. Data was collected on household characteristics, diarrhoea, WASH practices, water quality and quantity in households, and improved water sources. A structured pre-tested questionnaire, an observational check list and laboratory tests were used for data collection. The data was entered into Epi Data Version 3.01 and transferred to Stata Version 12 for analysis. Multilevel mixed-effect Poisson regression was used to determine the relationship between predictors and outcome variables. A P-value of less than .05 was the cut-off point for statistically significant. RESULTS: The prevalence of diarrhoea in 2 weeks among children under 5 years of age was 17.2% (95% CI: 15.8-19.71). Rainfall, E. coli contamination of drinking water at the source and in the home, 20 L of water consumption per capita per day, sharing water sources with animals and home water treatment by residents of the mid- and lowlands were all predictors of diarrhoea. The space-time scan statistic confirmed that child diarrhoea had random variation in both space and time. CONCLUSION: Climate variability has influenced the prevalence of diarrhoea among under-five-year-old children. Climate-resilient measures should be taken to reduce the burden of diarrhoea in the community.
Background Panel data indicate that nonpregnant women’s dietary diversity fluctuates across climatic seasons in low- and middle-income countries. The natural day-to-day variability in food group consumption during gestation is unknown. Objectives A longitudinal study was conducted among pregnant women enrolled in the Micronutriments pour la Sante de la Mere et de l’Enfant study 3 randomized controlled efficacy trial [i.e., daily fortified balanced energy-protein supplement and an iron-folic acid (IFA) tablet compared with an IFA tablet only] to investigate the number of 24-hour recalls required to estimate usual prenatal food group (FG) diversity and the seasonality of pregnant women’s dietary diversity in Hounde, Burkina Faso. Methods FG consumption was assessed twice weekly by qualitative, list-based, 24-hour recalls among 1757 pregnant women (892 control, 865 intervention). The number of days needed to estimate a woman’s usual prenatal 10-point FG diversity score was calculated using the within-subject coefficient of variation. Regression models, including truncated Fourier series, were fitted to assess seasonal variations in the FG diversity score and the probability of reaching Minimum Dietary Diversity for Women (MDD-W; i.e., >= 5 FGs). Results The monthly mean FG scores (<5 FGs) and MDD-W prevalence (<45%) were low. Five list-based recalls allowed observed FG diversity to lie within 15% of the true mean in 90% of the estimations (mean +/- SD, 40.4 +/- 20.7 recalls per woman). Both the FG diversity score and prevalence achieving MDD-W showed responsiveness to seasonal variations, with peaks at the end of the dry season (i.e., April or May) and troughs in the rainy season (i.e., August). Conclusions Five list-based recalls are sufficient to estimate usual FG diversity during gestation, although intra-annual seasonal patterns did modestly affect the FG diversity score and MDD-W prevalence. Thus, timing of repeated dietary surveys is critical to ensure nonbiased inferences of change and trends in Burkina Faso. This trial was registered at clinicaltrials.gov as NCT 03533712.
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 AND OBJECTIVES: Over centuries, Ethiopia has experienced severe famines and periods of serious drought, and malnutrition remains a major public health problem. The aims of this study were to estimate seasonal variations in child stunting and wasting, and identify factors associated with both forms of child malnutrition in drought-prone areas. METHODS: This cohort study was conducted among a random sample of 909 children in rural southern Ethiopia. The same children were followed for 1 year (2017-2018) with quarterly repeated measurements of their outcomes: height-for-age and weight-for-height indices (Z-scores). Linear regression models were used to analyse the association between both outcomes and baseline factors (eg, household participation in a social safety net programme and water access) and some time-varying factors (eg, household food insecurity). RESULTS: Child wasting rates varied with seasonal household food insecurity (ᵪ(2) (trend) = 15.9, p=0.001), but stunting rates did not. Household participation in a social safety net programme was associated with decreased stunting (p=0.001) and wasting (p=0.002). In addition to its association with decreased wasting (p=0.001), protected drinking water access enhanced the association between household participation in a social safety net programme and decreased stunting (p=0.009). Absence of a household latrine (p=0.011), lower maternal education level (p=0.001), larger family size (p=0.004) and lack of non-farming income (p=0.002) were associated with increased child stunting. CONCLUSIONS: Seasonal household food insecurity was associated with child undernutrition in rural Ethiopia. Strengthening community-based food security programmes, such as the Ethiopian social safety net programme, could help to reduce child undernutrition in drought-prone areas. Improving clean water access and sanitation could also decrease child undernutrition.Key terms: Z-scores; Social safety net program; Water access.
Wild foods are primary components of traditional and Indigenous food systems that are valued for food security while being vulnerable to global change. This case study examines practices, experiences, and perceptions associated with wild food environments through a household survey in the rural American state of Montana. Findings highlight that wild food environments contribute to cultural identity, sense of place, food security, and dietary quality of surveyed households while being vulnerable to loss of traditional ecological knowledge as well as climate and land-use change. Of the 182 informants, 80% hunt, 83% fish, and 68% forage wild botanicals. More than half of the informants agreed that wild food procurement is part of their cultural identity (66%). Collectively, informants procure more than 172 wild food species with the most prevalent being deer, waterfowl, elk, trout, bass, a range of berries, mushrooms, and botanicals used medicinally. Participants have a multidimensional value system where wild food procurement is valued for diets, recreation, family time, spirituality, and connection to the environment. The majority of participants agreed that the consumption of wild foods contributes to the nutritional quality (87%) and diversity (82%) of their diets while lowering food costs (59%). At least half of the informants reported observing changes in climate patterns over the past decade including increased temperature (50%) and more extreme and variable weather patterns (38%) that they perceive are impacting wild food environments including shifts in wild game, fish, and edible plant populations. Based on findings, we support that wild food environments and associated bio-cultural resources are a critical place to understand, conserve, and promote for nutrition. We thus advance the concept of “conservation for nutrition”. Community engagement, education, and policy plans are called for to promote wild food environments toward supporting sustainable diets and planetary health.
Extreme wildfires are increasingly rising to intense and uncontrolled fires, with dimension and destructive potentials that are greater than what has been seen and dealt with. The hazards posed by these fires increase significantly when they approach the wild-urban interface, with relevant environmental and socio-economic consequences. The 2009 Victorian bushfires and the 2017 Portugal wildfires are powerful reminders, and they have demonstrated the need to better understand why mitigation plans have failed to protect the community in these events and to improve community resilience. The year 2017 is a milestone in the history of wildfires in Portugal, not only because of the vast burned area but also due to the high number of fatalities. The two occurrences were at different times (June and October) but were geographically close (region of centre of Portugal). A total of 117 deaths occurred in both events and 92% of the victims were in wild-urban interface areas. This paper analyses and discusses the characteristics and causes of death of the victims of these two events: age, place of death, distance from place of death to place of residence and last-minute choices to aim to understand the actions that people took in the face of the approaching fire, which led to their death. In both cases, most people died fleeing the fire without any information from the competent authorities. In the end, it is possible to identify risk factors that lead to the death of civilians due to wildfires, such as the increase in demand for rurality by young people from big cities with no previous contact with wildfires; on the other hand, there is the ageing of the population residing in forest areas, who were previously physically and structurally prepared to deal with fires and are currently no longer able to.
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 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.
The conservation of freshwater is of both global and national importance, and in the United States, agriculture is one of the largest consumers of this resource. Reduction of the strain farming puts on local surface or groundwater is vital for ensuring resilience in the face of climate change, and one possible option is to irrigate with a combination of freshwater and reclaimed water from municipal wastewater treatment facilities. However, this wastewater can contain pathogens that are harmful to human health, such as Legionella pneumophila, which is a bacterium that can survive aerosolization and airborne transportation and cause severe pneumonia when inhaled. To assess an individual adult’s risk of infection with L. pneumophila from a single exposure to agricultural spray irrigation, a quantitative microbial risk assessment was conducted for a scenario of spray irrigation in central Illinois, for the growing seasons in 2017, 2018, and 2019. The assessment found that the mean risk of infection for a single exposure exceeded the safety threshold of 10(-6) infections/exposure up to 1 km from a low-pressure irrigator and up to 2 km from a high-pressure irrigator, although no median risk exceeded the threshold for any distance or irrigator pressure. These findings suggest that spray irrigation with treated municipal wastewater could be a viable option for reducing freshwater consumption in Midwest farming, as long as irrigation on windy days is avoided and close proximity to the active irrigator is limited.
Smallholder irrigation schemes (SISs) have been portrayed as a panacea to climate change adaptation. However, there is an emerging discourse that established schemes are becoming vulnerable to increased climate variability and change, particularly increased water stress. This paper reviews the existing knowledge on risks of climate change and variability in water supply in smallholder irrigation farming in Zimbabwe. In addition, this paper highlights adaptation options to climate change in SISs. Data for this review were collected systematically from peer-reviewed and published literature. The literature used for this study showed that SISs in Zimbabwe are beset with water stress, competing water needs and the outbreak of pests and diseases, which have been related with climate change and variability. Climate change is making Zimbabwe more arid through decreasing precipitation and warming. Droughts and floods are increasing in frequency and severity. Damage by floods is increasing exponentially, impacting environments, ecological systems and national economies. Climate change affects SISs’ productivity and decimates the livelihoods of scheme farmers. The review suggests that there is a need for increased adsorptive, adoptive and transformational capacity for SISs to obtain a new state of resilience from adverse effects of increased climate variability and change. This review recommends understanding and prioritizing solutions to vulnerability to climate change in SISs.
This paper explores environmental distress (e.g., feeling blue) in a politically conservative (“red”) and predominantly white farming community in the southwestern United States. In such communities across the United States, expressed concern over environmental change-including climate change-tends to be lower. This is understood to have a palliative effect that reduces feelings of ecoanxiety. Using an emotional geographies framework, our study identifies the forms of everyday emotional expressions related to water and environmental change in the context of a vulnerable rural agricultural community in central Arizona. Drawing on long-term participant-observation and stakeholder research, we use data from individual (n = 48) and group (n = 8) interviews with water stakeholders to explore reports of sadness and fear over environmental change using an emotion-focused text analysis. We find that this distress is related to social and material changes related to environmental change rather than to environmental change itself. We discuss implications for research on emotional geographies for understanding reactions to environmental change and uncertainty.
BACKGROUND: The 2017-2018 yellow fever virus (YFV) outbreak in southeastern Brazil marked a reemergence of YFV in urban states that had been YFV-free for nearly a century. Unlike earlier urban YFV transmission, this epidemic was driven by forest mosquitoes. The objective of this study was to evaluate environmental drivers of this outbreak. METHODOLOGY/PRINCIPAL FINDINGS: Using surveillance data from the Brazilian Ministry of Health on human and non-human primate (NHP) cases of YFV, we traced the spatiotemporal progression of the outbreak. We then assessed the epidemic timing in relation to drought using a monthly Standardized Precipitation Evapotranspiration Index (SPEI) and evaluated demographic risk factors for rural or outdoor exposure amongst YFV cases. Finally, we developed a mechanistic framework to map the relationship between drought and YFV. Both human and NHP cases were first identified in a hot, dry, rural area in northern Minas Gerais before spreading southeast into the more cool, wet urban states. Outbreaks coincided with drought in all four southeastern states of Brazil and an extreme drought in Minas Gerais. Confirmed YFV cases had an increased odds of being male (OR 2.6; 95% CI 2.2-3.0), working age (OR: 1.8; 95% CI: 1.5-2.1), and reporting any recent travel (OR: 2.8; 95% CI: 2.3-3.3). Based on this data as well as mosquito and non-human primate biology, we created the “Mono-DrY” mechanistic framework showing how an unusual drought in this region could have amplified YFV transmission at the rural-urban interface and sparked the spread of this epidemic. CONCLUSIONS/SIGNIFICANCE: The 2017-2018 YFV epidemic in Brazil originated in hot, dry rural areas of Minas Gerais before expanding south into urban centers. An unusually severe drought in this region may have created environmental pressures that sparked the reemergence of YFV in Brazil’s southeastern cities.
Background and Objectives: The social support deterioration model (SSDM) posits that individuals who do not receive adequate support following a disaster are vulnerable to losses in community solidarity and perceived support, as well as the development of persistent distress. However, limited longitudinal research has evaluated the relations among support and these outcomes among disaster-affected individuals. Design: The current study utilized random intercept cross-lagged panel modeling (RI-CLPM) to examine reciprocal relations among received support, community solidarity, perceived support, and posttraumatic stress disorder (PTSD) symptoms among rural Hurricane Florence survivors (n = 261) assessed 5-8 months post-hurricane (T1), and then at two more timepoints at three-month intervals (T2 and T3). Results: Results of the RI-CLPM supported that lower received support at T2 was associated with decreases in community solidarity at T3, and higher perceived support at T1 was associated with increases in received support at T2. In supplemental analyses, higher received support at T2 was associated with lower PTSD symptoms at T3. Conclusions: Consistent with the SSDM, individuals who receive less support post-disaster are vulnerable to losses in community solidarity and potentially persistent PTSD symptoms. Conversely, those with stronger support networks may be better able to access needed support in the longer-term.
Farmers, forest owners, and rural communities are among the groups most exposed to the effects and associated impacts of hurricanes and other extreme climate events in the Caribbean. Yet, lit-tle is known about their preparedness for or their capacity to respond to and recover from these disturbances. We conducted qualitative research involving focus group discussions and in-depth interviews with 152 farmers, forest owners, and agriculture and forest experts in Puerto Rico and the U.S Virgin Islands to understand the effects and associated impacts of hurricanes Irma and Maria at farm, forest, community, and sectoral levels and the internal and external factors that help to explain their capacities to anticipate, absorb, and adapt to hurricanes and other extreme climate events. Participants reported widespread crop and livestock losses; extensive damages to roads, facilities, and other private and public infrastructure; lengthy outages in electricity, telecommunications, and water supplies; and harmful impacts on human health and well-being that significantly affected their productive capacities and livelihoods. Most farmers and forest owners reported coping with the immediate effects and associated impacts of the hurricanes largely on their own, some also reported the emergence of informal or extemporized relief and re-covery support, mostly from family members, neighbors, and others in their local community. Of-ficial relief and recovery resources for the agriculture and forest sectors were described by many as having been too rigid or onerous to access or navigate successfully, ultimately limiting their ef-fectiveness in supporting farm and forest relief and recovery. Few participants or sectors reported having adequate hurricane preparations, mitigation, or adaptation practices in place prior to the storms. Low levels of risk reduction and adaptation mostly were associated with limited human, financial, and technological resources to design and implement related strategies and practices at individual and community levels. Many participants expressed a desire to incorporate more or specific hurricane and other disturbance plans and preparations into their production systems. Some participants also described plans to adapt, innovate, or transform their farm and forest sys-tems, but few had implemented these types of changes at the time of data collection. Findings point to the need for improved understanding, adoption, and support of effective hurricane miti-gation and adaptation measures in agriculture, forests, and rural communities; increased flexibil-ity and adaptiveness of official response and recovery programs and processes to accommodate local contexts, capacities, and conditions; and practical planning, preparations, and other risk re-duction measures for famers and forest owners at individual, community, organizational, and larger scales. Study results are important to the design and implementation of ongoing recovery efforts as well as broader conservation efforts within and across agriculture, forest, and rural communities in the U.S. Caribbean.
Children are disproportionately affected by disasters, in both the long and short term, particularly in developing countries. Children in rural areas face the most adversity since they are inadequately prepared, lacking in resources, and oblivious to their potential. Many children continue to turn to their parents or guardians for help in emergencies, however, the behavior, awareness, and preparedness of a child is equally important during an emergency. This paper takes a closer look at the physical, psychological, and educational vulnerabilities, as well as factors that influence the involvement of children in flood disaster-related activities (between 2010 and 2014) in selected disaster-hit rural communities of Pakistan. This study was based on interviews with a total of 100 school children from four selected regions and analysis was performed using univariate, bivariate, and multivariate methods. The study results show that school children in Nowshera are more susceptible to disasters than the other districts, particularly due to their psychological, physical, and educational well-being. Nowshera has the highest percentage of children who are vulnerable to all three types of vulnerability. Damage to homes and emotional distress are significant predictors of psychological vulnerability, while proximity to disaster-prone areas, poor diet, and parental loss are important contributors to physical vulnerability. Children displacement, delayed enrolment, multiple relocations, and family instability are the main factors determining educational vulnerability. Our findings suggest that in addition to having improved building infrastructure, schools must engage in disaster management efforts to educate school children about the risks of disasters.
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.
OBJECTIVE: Climate change impacts the public’s health. People are at risk for extreme weather events in the 21st century. The purpose of this study was to assess Public Health agencies’ awareness of climate change’s impact on health, and what protective and preventive strategies the agencies have in place. METHOD: Using mixed method research, a survey was designed to collect quantitative and qualitative data. Following IRB approval, surveys were sent to eight Public Health agencies in the USA’s rural and urban Midwest, and rural Alaska. ANALYSIS: Quantitative data were analyzed using simple frequencies and means. Qualitative data were analyzed using content analysis and Public Health frameworks. RESULTS: Thirty-three agency personnel completed the surveys. All agencies identified emerging, new health problems. Seven agencies had climate change doubters and/or opposition from the community regarding climate change reality. All eight agencies were underfunded. CONCLUSION: Public Health agencies need financial resources to prepare for climate change threats and events. Climate change is a global reality. The world needs to collectively work together on this issue.
Public health departments are on the frontlines of protecting vulnerable groups and working to eliminate health disparities through prevention interventions, disease surveillance and community education. Exploration of the roles national, state and local health departments (LHDs) play in advancing climate change planning and actions to protect public health is a developing arena of research. This paper presents insights from local public health departments in California, USA on how they addressed the barriers to climate adaptation planning with support from the California Department of Public Health’s Office of Health Equity Climate Change and Health Equity Section (OHE), which administers the California Building Resilience Against Climate Effects Project (CalBRACE). With support from the U.S. Centers for Disease Control and Prevention (CDC) Climate-Ready States and Cities Initiative (CRSCI), CalBRACE initiated an adaptation project to seed climate planning and actions in county health departments. In this study, we compared the barriers and strategies of twenty-two urban and rural LHDs and explored potential options for climate change adaptation in the public health framework. Using key informant interviews and document reviews, the results showed how engagement with CalBRACE’s Local Health Department Partnership on Climate Change influenced the county departments’ ability to overcome barriers to adaptation through the diversification of funding sources, the leveraging strategic collaborations, extensive public education and communication campaigns, and the development of political capital and champions. The lessons learned and recommendations from this research may provide pathways and practices for national, state and local level health departments to collaborate in developing protocols and integrating systems to respond to health-related climate change impacts, adaptation and implementation.
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.
OBJECTIVES: Only few studies evaluated whether hurricane preparedness impacts health. The PREPARE study addresses this gap. METHODS: We recruited participants who had pertinent pre-hurricane data from the San Juan Overweight Adults Longitudinal Study (SOALS: n=364) and 125 patients with diabetes from Federally Qualified Health Center (COSSMA) in Puerto Rico. Participants aged 42-75 years completed interviews 20-34 months after Hurricanes Irma and Maria. We evaluated associations between self-reported hurricane preparedness and health and other related associations using logistic regression controlling for age, location, education and interview date. RESULTS: Only 41% of participants reported high pre-hurricane preparedness; 25% reported gaps (moderate/low availability) in information and 48% reported gaps in resources for hurricane preparedness. Participants reporting lower pre-hurricane preparedness had higher reported hurricane-related detrimental health impact (OR=1.96; 95% CI: 1.31, 2.95) and higher odds (OR=2.07; 95% CI: 0.92, 4.68) of developing new non-communicable disease (NCD) compared to others. Post-hurricane drinking water disruption for ≥ 3 months versus none or less (OR=2.76; 95% CI: 1.39, 5.47) and similarly diet changes due to cooking/refrigeration access (OR=1.96; 95% CI: 1.24, 3.07), and diet changes for ≥ 20 months due to finances/access to shops (OR=2.83; 95% CI: 1.85, 4.32) were also associated with detrimental health impact. CONCLUSION: Lower preparedness was associated with higher detrimental impact of the hurricanes on overall health, and marginally significant impact on NCD. Future preparedness efforts could especially target means of coping with disruption of water services and regular diet, as these were also associated with detrimental health impact.
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.
Pollen is responsible for seasonal allergies, such as allergic rhino-conjunctivitis (AR), and has become a growing public health concern. Climate change affects the range of allergenic species as well as the timing and length of the pollen season. In Egypt, data on pollinosis are scarce. This study aimed to identify the most prevalent pollen causing allergies among Egyptian patients with respiratory allergies. A total of 200 patients with respiratory allergic diseases, allergic rhinitis and/or bronchial asthma (BA), were included. Medical history taking and physical examinations were conducted on each patient. Complete blood count (CBC), total immunoglobulin E (IgE) determination, spirometry, specific IgE, and skin prick tests (SPTs) for common aeroallergens and food were performed. Of the 200 patients, 106 (53%) were females. The age of study subjects ranged 16-66 years (mean ± SD, 34.42 ± 13.0), and 65% were living in urban areas. Grass pollen, mainly from Timothy grass and maize, were the most prevalent allergens (28.5%). Timothy grass was the most common type of pollen in patients with AR (28.3 %). Elder pollen was more prevalent among asthmatic patients (P = 0.004). Bermuda grass was statistically more prevalent in rural than in urban areas (P = 0.008). Maize was linked to uncontrolled BA, whereas Timothy grass was the most prevalent among patients with moderate/severe AR. Forty-three patients had oral allergy syndrome; oranges and tomatoes were the most cross-reactive food allergies (12% and 11.5%, respectively). Exacerbation of allergic symptoms was noted during January, December, March, and June. In conclusion, pollen plays a substantial role in affecting patients with respiratory allergies in Egypt. Grass pollen is the most prevalent type of pollen, especially in urban areas.
BACKGROUND: The objective was to analyze whether there are differences in vulnerability to Extreme Cold Days (ECD) between rural and urban populations in Spain. METHODOLOGY: Time series analysis carried out from January 1, 2000, through December 31, 2013. Municipalities with over 10,000 inhabitants were included from 10 Spanish provinces, classified into 42 groups by isoclimate and urban/rural character as defined by Eurostat criteria. The statistical strategy was carried out in two phases. First: It was analyzed the relationship between minimum daily temperature (Tmin) (source: AEMET) and the rate of daily winter mortality due to natural causes -CIE-10: A00 – R99- (source: National Statistics Institute). Then, It was determinated the threshold of Tmin that defines the ECD and its percentile in the series of winter Tmin (Pthreshold), which is a measure of vulnerability to ECD so that the higher the percentile, the higher the vulnerability. Second: possible explanatory variables of vulnerability were explored using Mixed Generalized Models, using 13 independent variables related to meteorology, environment, socioeconomics, demographics and housing quality. RESULTS: The average Pthreshold was 18 %. The final model indicated that for each percentage point increase in unemployment, the vulnerability to ECD increased by 0.4 (0.2, 0.6) points. Also, with each point increase in rurality index, this vulnerability decreased by -6.1 (-2.1, -10.0) points. Although less determinant, other factors that could contribute to explaining vulnerability at the province level included minimum winter daily temperatures and the percentage of housing with poor insulation. CONCLUSIONS: The vulnerability to ECD was greater in urban zones than in rural zones. Socioeconomic status is a key to understanding how this vulnerability is distributed. These results suggest the need to implement public health prevention plans to address ECD at the state level. These plans should be based on threshold temperatures determined at the smallest scale possible.
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.
Global heating is considered one of the greatest threats to human health and well-being. Supporting human resilience to heating threats is imperative, but under-investigated. In response, this article reports a study that drew together results from quantitative data on perceptions of thermal comfort and mechanisms for coping with thermal discomfort among 406 households in a study in Giyani, Limpopo province. Indoor dwelling and outdoor temperatures were also analysed. Most participants perceived their dwellings to be too hot when it was hot outdoors. People relied on recommended heat health actions such as sitting outdoors in the shade or opening windows. While this agency is meaningful, resilience to climate change requires more than personal action. In light of the climate threats and climate-related disaster risks facing South Africa, an all-encompassing approach, including education campaigns, climate-proofed housing, access to basic services, and financial considerations that will help support resilient coping among South Africans, is urgently required.
The prevalence of food insecurity is much higher in East Africa than in other parts of the world. Climate change and associated variability are important contributors to food insecurity in the region. Using primary data collected in 2018/19 from Ethiopia, Kenya and Tanzania, this study examines the links between the prevalence of household food insecurity (the access to food dimension) and vulnerability to climate change in East Africa. The Household Food Insecurity Access Scale (HFIAS) was constructed to measure the prevalence of household food insecurity, and an ordered probit econometrics model was used to investigate the factors affecting the prevalence rates. The aggregate results show that 52% of the total sampled households in the region were food-secure; 15% and 26% were mildly food-secure and moderately food-insecure, respectively; and the remaining 7% were severely food-insecure. The ordered probit results suggest that exposure to climate change extremes and crop losses caused by these extremes significantly contribute to the prevalence of food insecurity across countries in East Africa. The results also indicate that households’ adaptive capacity plays a significant role in reducing the prevalence of food insecurity. The demographic/human, social, financial, physical, and natural assets/capital of the household also play a significant role in reducing household-level food insecurity in Ethiopia, Kenya, and Tanzania.
Access to water, sanitation, and hygiene (WASH)-including drainage-services-is essential for public health and socio-economic development, but access remains inadequate and inequitable in low- to middle-income countries such as South Africa. In South Africa, rural areas and small towns generally depend on a limited and climate-sensitive economic base (e.g., farming), and they have a limited capacity and are located in areas where transport challenges can increase WASH access risks. Climate change shifts hydrological cycles, which can worsen WASH access and increase susceptibility to the interlinked impacts of droughts and flooding in already vulnerable regions. We adopted a transdisciplinary approach to explore the needs, barriers, and vulnerabilities with respect to WASH in rural areas and small towns in South Africa-using two case studies to explore climate risk and vulnerability assessment (CRVA) in one rural village in the northern Limpopo province and a small town in the Western Cape province. This holistic approach considered natural (environment and climate) and socio-economic (economic, social, governance, and political) factors and how they interplay in hampering access to WASH. Extreme weather events characterized by frequent and intense droughts or floods aggravate surface and groundwater availability and damage water infrastructure while threatening agriculture-dependent livelihoods. The lack of reliable transport infrastructure increases risks posed by flooding as roads to vital supplies are prone to damage. High inequality linked to rising unemployment and the Apartheid legacy of a segregated service delivery system result in inequitable access to WASH services. The intertwined ways in which natural elements and historical, social, economic, governance, and policy aspects are changing in South Africa increase WASH vulnerability in rural areas and small towns.
BACKGROUND: Climate change is expected to decrease food security globally. Many Indigenous communities have heightened sensitivity to climate change and food insecurity for multifactorial reasons including close relationships with the local environment and socioeconomic inequities which increase exposures and challenge adaptation to climate change. Pregnant women have additional sensitivity to food insecurity, as antenatal undernutrition is linked with poor maternal-infant health. This study examined pathways through which climate change influenced food security during pregnancy among Indigenous and non-Indigenous women in rural Uganda. Specific objectives were to characterize: 1) sensitivities to climate-associated declines in food security for pregnant Indigenous women; 2) women’s perceptions of climate impacts on food security during pregnancy; and 3) changes in food security and maternal-infant health over time, as observed by women. METHODS: Using a community-based research approach, we conducted eight focus group discussions-four in Indigenous Batwa communities and four in non-Indigenous communities-in Kanungu District, Uganda, on the subject of climate and food security during pregnancy. Thirty-six women with ≥1 pregnancy participated. Data were analysed using a constant comparative method and thematic analysis. RESULTS: Women indicated that food insecurity was common during pregnancy and had a bidirectional relationship with antenatal health issues. Food security was thought to be decreasing due to weather changes including extended droughts and unpredictable seasons harming agriculture. Women linked food insecurity with declines in maternal-infant health over time, despite improved antenatal healthcare. While all communities described food security struggles, the challenges Indigenous women identified and described were more severe. CONCLUSIONS: Programs promoting women’s adaptive capacity to climate change are required to improve food security for pregnant women and maternal-infant health. These interventions are particularly needed in Indigenous communities, which often face underlying health inequities. However, resiliency among mothers was strong and, with supports, they can reduce food security challenges in a changing climate.
BACKGROUND: Some latrines remain unused even under conditions of high coverage in rural areas of low- and middle-income countries. Not much is known on household latrine use in the long term in the absence of an intervention. The current work assesses drivers and barriers to sustained use of a ventilated improved pit latrine (Blair VIP) design where it originated and how rural households adapt it to climate change. METHODS: A mixed methods study was conducted from November 2020 to May 2021 among rural households of Mbire district, Zimbabwe. A cross sectional survey of 238 households with Blair ventilated improved pit (BVIP) latrines was conducted using a questionnaire and a latrine observation checklist. Data were analysed using logistic regression. Qualitative data were collected using six focus groups among house heads and analysed by thematic analysis. RESULT: The latrine has perceived health, non-health and hygiene benefits for its sustained use. However, there are design, environmental and social barriers. The quantitative study indicated that determinants of latrine use were contextual (individual and household levels) and technology (individual level) factors. Focus groups indicated that latrine use was influenced by social, technology and contextual factors at multiple level factors. Interplay of factors influenced the intention to adapt the BVIP latrine to climate change. Local climate change adaptation strategies for the latrine were odour and erosion control, construction of the conventional latrine design and raised structures. CONCLUSION: The conventional BVIP latrine design is durable and relatively resilient to climate change with high local household use. High construction cost of the latrine causes households to build incomplete and poor quality designs which affect odour and fly control. These are barriers to sustained latrine use. The government should implement the new sanitation policy which considers alternative sanitation options and offer community support for adapting sanitation to climate change.
Home gardening is promoted as an adaptation strategy to ameliorate the increasing food insecurity from climate change impacts among subsistence farming families in rural sub-Saharan Africa. Yet, the geographic distribution of home gardens, their setup, management, and the effects on nutrition outcomes have not been fully described. This scoping review aimed to map and synthesize recent evidence on home gardening for two exemplar countries: Burkina Faso and Kenya. Between June and August 2020, we searched, screened, and extracted evidence about home garden projects in both countries, following the PRISMA guidelines for scoping reviews. Peer-reviewed scientific publications, and gray literature in English and French that reported about subsistence horticulture in rural settings of Burkina Faso or Kenya were included. The characteristics of the documents and the data pertaining to our research objectives were extracted into predefined spreadsheets. The data were synthesized in the form of a narrative review. Our search yielded 949 documents, of which 20 documents were included in the synthesis (Burkina Faso: 8, Kenya: 12). While the gardens varied in composition and size, the majority provided green leafy vegetables and indigenous horticultural crops. The challenges for successful home garden implementation comprised unfavorable climatic conditions, access to and affordability of inputs, water and land, and lack of know-how. We identified trends for improved food security, diet quality, and nutritional status among the target populations. This scoping review found that there is limited evidence on home garden practices in rural Burkina Faso and Kenya. To enhance the sustainability of home gardens, research and resources should he invested in codesigning context-specific home gardening projects. Pending rigorous impact evaluation, home gardens appear to be a promising tool for climate change adaptation while simultaneously improving food security and the nutritional situation among women and young children in these two exemplar countries of sub-Saharan Africa.
This study assessed the perceived causes, indicators and impacts of climate change by disaggregating farmers in to adaptor and non-adaptor groups in Goat based agro-pastoral livelihood zone of Ethiopia. The collected quantitative and qualitative data were analysed in descriptive statistics, linear regression, anomaly index, Likert rating scale and conceptual narrations. The findings demonstrated that an increasing temperature and a decreasing rainfall trends were perceived by farmers across the study decades. Higher deforestation rate, rash natural resource exploitation, poor soil and water management rehearses and alarming population growth in descending order were identified as climate change causes. Livestock and crop yield decline, livestock/human diseases epidemics and death, as well as recurrent conflicts due to grazing land were its associated impacts. The status and nature of climate change causes, indicators and impacts were however significantly diverse within similar awareness groups. To mitigate its adverse impacts, the farmers were thus applied livestock, crop and non-agriculture related adaptation strategies. Shortage of finance and eligible household labor combined with the absence of climate related information, training and extension services were hindered farmers to take any measure to the climate change. Therefore, to encourage the farmers’ responsiveness, the finding underlines the importance of supplying applicable as well as legitimate natural resource exploitation system, followed by access to climate related information, awareness rising trainings, credit and input delivery services at local and community level.
This study explores the perceived influence of climate change on the health of Hamer pastoralists and their livestock in south-western Ethiopia. A combination of focus group discussions and key informant interviews were conducted with Hamer communities as well as local health workers, animal health workers and non-governmental organisation (NGO) staff. Thematic framework analysis was used to analyse the data. Reductions in rangeland, erratic rainfall, recurrent droughts and loss of seasonality were perceived to be the biggest climate challenges influencing the health and livelihoods of the Hamer. Communities were travelling greater distances to access sufficient grazing lands, and this was leading to livestock deaths and increases in ethnic violence. Reductions in suitable rangeland were also precipitating disease outbreaks in animals due to increased mixing of different herds. Negative health impacts in the community stemmed indirectly from decreases in livestock production, uncertain crop harvests and increased water scarcity. The remoteness of grazing lands has resulted in decreased availability of animal milk, contributing to malnutrition in vulnerable groups, including children. Water scarcity in the region has led to utilisation of unsafe water sources resulting in diarrhoeal illnesses. Further, seasonal shifts in climate-sensitive diseases such as malaria were also acknowledged. Poorly resourced healthcare facilities with limited accessibility combined with an absence of health education has amplified the community’s vulnerability to health challenges. The resilience and ambition for livelihood diversification amongst the Hamer was evident. The introduction of camels, increase in permanent settlements and new commercial ideas were transforming their livelihood strategies. However, the Hamer lack a voice to express their perspectives, challenges and ambitions. There needs to be collaborative dynamic dialogue between pastoral communities and the policy-makers to drive sustainable development in the area without compromising the values, traditions and knowledge of the pastoralists.
Climate change has become a global phenomenon, but its impact is unevenly distributed among regions, economic classes, age classes and genders. Gender is among the factors that influence the perception and adaptation of smallholder farmers to the impacts of climate change. This study assessed the level of gender vulnerability, perception and adaptation options against climate change in the rural areas of Meta District, eastern Ethiopia. Data were collected from 193 respondents through household survey, focus group discussions (FGD) and key informant interviews. Long-term climate data (1990-2019) were acquired from the National Meteorological Agency (NMA) of Ethiopia. Integrated vulnerability assessment method through the construction of indices from selected indicators of climate change was used to describe vulnerability. A multivariate probit model (MVP) was employed to identify factors affecting the choice of adaptation options to climate change. Climate data analysis showed that long-term annual, belg (short rainy season from February-April) and kiremt (long rainy season from June-September) seasonal rainfall had high variability with a coefficient of variation of 37.7%, 42.5% and 34.4%, respectively. Approximately 90% of male- and 74% of female-headed households perceived declining and erratic rainfall and rising temperature over time in their locality in the last three decades. The lower perception of women implies that they had less access to climate information and lack awareness, which constrains their adaptation against the impacts of climate change. The likelihood of household heads adopting soil and water conservation (SWC) practices, adjusting planting dates and use of drought-tolerant varieties was 77.2%, 56.9% and 53.9%, respectively. Women were more vulnerable, with a vulnerability index (VI) of – 0.138, to climate change than men (VI = 0.009) in the study area. These findings necessitate the formulation and implementation of gender-sensitive and context-specific policies that provide poor female farmers with the opportunities to diversify their livelihood with non-farm income. Moreover, non-formal trainings and better extension services are needed to enhance the perception of climate change and the use of adaptation practices to improve resilience against climate change.
Climate change is a global threat, affecting the food security and food sovereignty of many depending on agriculture for their livelihoods. This is even more pronounced in Kenya, given their over-reliance on rain-fed crops and the frequency of floods and droughts in the country. Through qualitative interviews, this study set out to establish how climate change not only affects the food security, production and consumption of rural women farmers in Kakamega County, Kenya, but their response to climate shocks. Using resilience theory as a lens, we established that women use different pathways to mitigate the effects of climate change on their livelihoods. The study found that initially women adopt coping strategies that are reactive and not sustainable, but soon adapted their farming strategies, using their indigenous knowledge to exercise some control over both their food security and food sovereignty. Besides this, they use their human and social capital to expand their networks of support. By linking up to other organizations and gaining access to government support, they are able to challenge patriarchal relations that perpetuate poverty and inequality and bring about more transformative and sustainable responses to climate change.
Hunger and inadequate nutrition are ongoing concerns in rural Malawi and are exemplified in traditional proverbs. Traditional proverbs and common expressions offer insight into commonly held truths across societies throughout sub-Saharan Africa. Strong oral traditions allow community beliefs embodied in proverbs to be passed down from generation to generation. In our qualitative study, we conducted 8 individual and 12 focus group interviews with a total of 83 participants across two districts in rural central Malawi with the aim of soliciting context-specific details on men and women’s knowledge, attitudes and practices related to nutrition, gender equality and women’s empowerment. Each interview began by asking participants to share common proverbs related to nutrition. Our qualitative analysis, informed by an indigenous-based theoretical framework that recognises and centres African indigenous knowledge production, yielded six themes: ‘a black dog enters the home’, ‘don’t stay with your hands hanging’, ‘a man is at the stomach’, ‘showers have fallen’, ‘we lack peace in our hearts’ and ‘the hunger season’. Traditional proverbs can provide insight into the underlying causes of hunger and malnutrition. Physicians, nurses and other allied health professionals around the world have a role to play in addressing hunger and malnutrition, which have been exacerbated by climate change. We have an ethical duty to educate ourselves and others, and change our behaviours, to mitigate the root causes of climate change, which are contributing to food insecurity and resultant poor health outcomes in countries like Malawi.
Erratic temperatures and precipitation influence nutrition, human capital investment, and living standards, particularly for children. This study investigates the effect of climate change (changes in the monthly maximum average near-surface temperature and total monthly precipitation) on children’s health outcomes, particularly stunting and underweight, in Nigeria. We combine Living Standards Measurement Study -Integrated Surveys on Agriculture (LSMS-ISA) data with high resolution gridded climate data. We find that the rise in temperature is associated with higher levels of stunting – even more so in rural areas. The paper’s findings highlight the need for climate-friendly policies to mitigate the long-term effect of climate change on malnourishment. Without such policies, climate change could reverse years of progress in lowering children’s malnutrition.
Global demand for agricultural products continues to grow. However, efforts to boost productivity exacerbate existing pressures on nature, both on farms and in the wider landscape. There is widespread appreciation of the critical need to achieve balance between biodiversity and human well-being in rural tropical crop production landscapes, that are essential for livelihoods and food security. There is limited empirical evidence of the interrelationships between natural capital, the benefits and costs of nature and its management, and food security in agricultural landscapes. Agroforestry practices are frequently framed as win-win solutions to reconcile the provision of ecosystem services important to farmers (i.e., maintaining soil quality, supporting pollinator, and pest control species) with nature conservation. Yet, underlying trade-offs (including ecosystem disservices linked to pest species or human-wildlife conflicts) and synergies (e.g., impact of ecosystem service provision on human well-being) are seldom analysed together at the landscape scale. Here, we propose a systems model framework to analyse the complex pathways, with which natural capital on and around farms interacts with human well-being, in a spatially explicit manner. To illustrate the potential application of the framework, we apply it to a biodiversity and well-being priority landscape in the Southern Agricultural Growth Corridor of Tanzania, a public-private partnership for increasing production of cash and food crops. Our framework integrates three main dimensions: biodiversity (using tree cover and wildlife as key indicators), food security through crop yield and crop health, and climate change adaptation through microclimate buffering of trees. The system model can be applied to analyse forest-agricultural landscapes as socio-ecological systems that retain the capacity to adapt in the face of change in ways that continue to support human well-being. It is based on metrics and pathways that can be quantified and parameterised, providing a tool for monitoring multiple outcomes from management of forest-agricultural landscapes. This bottom-up approach shifts emphasis from global prioritisation and optimisation modelling frameworks, based on biophysical properties, to local socio-economic contexts relevant in biodiversity-food production interactions across large parts of the rural tropics.
The burden of child undernutrition across Africa remains extraordinarily high. Among children under age five, chronic and acute undernutrition is responsible for more ill-health than any other cause. While climate change exacerbates the multiple burdens of undernutrition, we know very little about the embodied effects on women’s workload in agriculture and implications for feeding practices, especially for infants whose nutrition depends on mothers’ time. In this article, political ecologies of health, with its nested, place-based analysis, is used as a framework to address this knowledge gap. The study took place in Ghana’s Upper West Region, a semi-arid and resource-poor setting with higher undernutrition rates. In-depth interviews were conducted with smallholder farmers (n = 33) whose infants have sub-optimal growth, and key informants (n = 7) with expertise in nutrition and health. Findings from the study demonstrate how climate change puts pressure on women’s productive time, leading to poor child feeding practices and undernutrition. Ultimately, the article argues that there are hidden impacts of climate change on undernutrition. Global undernutrition interventions should therefore move beyond biomedical solutions to address these hidden impacts, some of which are social, gendered, and structural in nature.
OBJECTIVE: To evaluate the use of UmbiFlow™ in field settings to assess the impact of heat stress on umbilical artery resistance index (RI). METHODS: This feasibility study was conducted in West Kiang, The Gambia, West Africa; a rural area with increasing exposure to extreme heat. We recruited women with singleton fetuses who performed manual tasks (such as farming) during pregnancy to an observational cohort study. The umbilical artery RI was measured at rest, and during and at the end of a typical working shift in women at 28 weeks or more of pregnancy. Adverse pregnancy outcomes (APO) were classified as stillbirth, preterm birth, low birth weight, or small for gestational age, and all other outcomes as normal. RESULTS: A total of 40 participants were included; 23 normal births and 17 APO. Umbilical artery RI demonstrated a nonlinear relationship to heat stress, with indication of a potential threshold value for placental insufficiency at 32°C by universal thermal climate index and 30°C by wet bulb globe temperature. CONCLUSIONS: The Umbiflow device proved to be an effective field method for assessing placental function. Dynamic changes in RI may begin to explain the association between extreme heat and APO with an identified threshold of effect.
In sub-Saharan Africa, land cover change, expansion of hydropower infrastructure, and increased flooding complicate country-level efforts to meet the Sustainable Development Goal target concerning access to safe water. The Water, Energy and Food (WEF) nexus approach recognises that addressing these complex challenges requires cross-sectoral analyses at multiple scales. Building on such an approach, our study examined the interrelationships between land cover change, dam-related flooding and access to safe water via a national-level spatial analysis with local case studies in Malawi and Ghana. Our assessment of the water-food interactions found that areas of overlap between water points and cropland increased from 2000 to 2020 for both countries at national scale, but overlap extent varied greatly depending on the land cover product used. Local-scale exploration of water point installation patterns in Zomba, Malawi confirmed this pattern, highlighting increasing non-governmental funding of borehole installation programmes. Our assessment of water-energy interactions found that flooding mediated by hydropower dams increased for the White Volta Basin in Ghana, thereby increasing inundation of groundwater points. Local-scale focus group discussions revealed flooding resulted in contaminated water sources and high risk of injury or drowning whilst fetching water. Overall, our study highlights how socio-economic drivers are bringing water points, flooding and cropland into closer proximity, requiring flood mitigation measures at water points and agro-chemical management to minimise potential water quality impacts. Given differences between land cover products, we recommend more robust integration of existing land cover products to better monitor these phenomena.
Rural isolation can limit access to basic services and income-generating opportunities. Among some communities, rainfall induced flooding can cause increased uncertainty where first-mile transportation infrastructure is limited. In Rwanda, this challenge is apparent, where 90% of the population below the poverty line live in rural areas that are typically mountainous with frequent flooding – events that may be increasing in frequency and severity as the climate changes. To reduce these transportation barriers, the non-profit organization Bridges to Prosperity (B2P) plans to construct hundreds of trailbridges in Rwanda between 2018 and 2023. This scale of rural infrastructure services presents an opportunity for experimental investigation of the effects of these new trailbridges on economic, health, agricultural and education outcomes in rural communities. In this paper, we present a cohort study evaluating the potential community benefits of rural trailbridges – including economic, health and social outcomes for Rwandan communities experiencing environmental change. We examined households living near 12 trailbridge sites and 12 comparison sites over February 2019-March 2020. We found that labor market income increased by 25% attributable to the trailbridges. We did not observe any significant effects on agricultural income, education or health outcomes, however given the small sample and short duration of this study we anticipate observing additional outcomes within the recently started 200 site, 4 year trial.
In 2015, South Africa experienced one of the worst (El Ni??o-induced) droughts in 35 years. This affected economic activities, individual and community livelihoods and wellbeing especially in rural communities in northern KwaZulu-Natal. Drought’s direct and indirect impacts on public health require urgent institutional responses, especially in South Africa’s stride to eliminate HIV as a public health threat by 2030 in line with the UNAIDS goals. This paper draws on qualitative data from interviews and policy documents to discuss how the devastating effect of the 2015 drought experience in the rural Hlabisa sub-district of uMkhanyakude, a high HIV prevalence area, imposes an imperative for more proactive institutional responses to drought and other climate-related events capable of derailing progress made in South Africa’s HIV/AIDS response. We found that drought had a negative impact on individual and community livelihoods and made it more difficult for people living with HIV to consistently engage with care due to economic losses from deaths of livestock, crop failure, food insecurity, time spent in search of appropriate water sources and forced relocations. It also affected government institutions and their interventions. Interviewed participants’ reflections on drought-related challenges, especially those related to institutional and coordination challenges, showed that although current policy frameworks are robust, their implementation has been stalled due to complex reporting systems, and inadequate interdepartmental collaboration and information sharing. We thus argue that to address the gaps in the institutional responses, there is a need for more inclusive systems of drought-relief implementation, in which government departments, especially at the provincial and district levels, work with national institutions to better share data/information about drought-risks in order to improve preparedness and implementation of effective mitigation measures.
In 2015 and 2016, South Africa experienced a severe drought resulting in water restrictions and food price inflation. A year later, while the proportion of food secure households remained constant, the proportion of those experiencing severe food insecurity increased. This paper investigates the socio-economic determinants of increasing food insecurity during and after the drought. Two cross-sectional household surveys were carried out in the district of iLembe in November 2016 and 2017. Household food insecurity was measured using the Coping Strategies Index. The results indicated changes in socio-economic determinants of food insecurity over time, with the poorest households experiencing the worst levels of food insecurity. After the drought, having a child under-five years was positively associated with food insecurity, while being located in a rural area was negatively associated. Policies that limit household vulnerability to price inflation, and interventions that protect poorer households from the effects of drought should be considered.
The assessment of the vulnerability to drought hazards in smallholder farming systems dependent on rain-fed agriculture has recently gained global popularity, given the need to identify and prioritize climate hotspots for climate adaptation. Over the past decade, numerous studies have focused on vulnerability assessments with respect to drought and other meteorological hazards. Nonetheless, less research has focused on applying common measurement frameworks to compare vulnerability in different communities and the sources of such vulnerability. Yet, the crucial question remains: who is more vulnerable and what contributes to this vulnerability? This article is a case study for assessing the vulnerability to drought of smallholder farmers in two wards in Chivi district, Masvingo Province, Zimbabwe. This study is timely, as climate change is increasingly affecting populations dependent on rainfed agriculture. This assessment has been conducted by calculating the Livelihood Vulnerability Index (LVI) and Livelihood Vulnerability Index of the Intergovernmental Panel on Climate Change (LVI-IPCC). This empirical study used data from 258 households from the two wards and triangulated it through Key Informant Interviews and Focus Group Discussions. To calculate the LVI, twenty-six subcomponents made up of seven major components, including socio-demographic variables; livelihood strategies; social capital; access to food, health, and water; and exposure to drought, were considered. To calculate the LVI-IPCC, we combined the three contributing factors of vulnerability (exposure, sensitivity, and adaptive capacity). Our results indicate that the LVI forward 14 is statistically higher than for ward 19 (F = 21.960; p <= 0.01) due to high exposure to drought, food insecurity, and compromised social networks. Concerning the LVI-IPCC, ward 14 was significantly more vulnerable to the impacts of drought than ward 19 (F = 7.718; p <= 0.01). Thus, reducing exposure to drought through early warning systems, building diversified agricultural systems, and social networks are of high priority to reduce the vulnerability of the farmers.
This paper evaluates the short-term health effects of in utero drought shock using repeated cross-section household data on Malawi. The main finding reveals that the effects of in utero harvest variability caused by rainfall shocks on child growth indices are driven by the deleterious effects of negative rainfall deviations, namely droughts. Negative rainfall deviation during the agricultural season prior to the gestational period of a child leads to a 21.8 per cent average local level reduction in age-standardized height scores, with the counterpart positive rainfall deviation having no apparent effect. The paper also uses harvest and consumption patterns to establish an important link between early-life malnutrition and growth serving as a precursor for the fetal period programming hypothesis in the literature. The direct impact of embryonic period shocks on growth provides supportive evidence on potential interaction between nutritional and environmental pathways.
Climate change threatens the health and well-being of populations. We conducted a risk assessment of two climate-related variables (i.e., temperature and rainfall) and associated water, sanitation and hygiene (WASH)-related exposures and vulnerabilities for people living in Mopani District, Limpopo province, South Africa. Primary and secondary data were applied in a qualitative and quantitative assessment to generate classifications of risk (i.e., low, medium, or high) for components of hazard/threat, human exposure, and human vulnerability. Climate-related threats were likely to impact human health due to the relatively high risk of waterborne diseases and WASH-associated pathogens. Vulnerabilities that increased the susceptibility of the population to these adverse outcomes included environmental, human, physical infrastructure, and political and institutional elements. People of low socio-economic status were found to be least likely to cope with changes in these hazards. By identifying and assessing the risk to sanitation services and water supply, evidence exists to inform actions of government and WASH sector partners. This evidence should also be used to guide disaster risk reduction, and climate change and human health adaptation planning.
Pastoral women in the semi-arid rangelands of East Africa are significantly burdened by the vulnerability to and responsibility for responding to changing climates. Consequently, understanding how adaptation and coping strategies impact pastoral women’s well-being is critical for supporting the climate resilience of communities and the landscapes on which they rely. We used a household survey, guided by a multi-dimensional framework of well-being, to investigate how the use of drought-related coping and adaptation strategies by Samburu households influenced livestock loss and women’s well-being in northern Kenya. Coping and adaptation strategies predicted numerous social-cognitive components of well-being, although not livestock loss. We conjecture these results are a product of a gendered division of labor within households and the community. We argue that interventions aimed at supporting drought resilience must consider the gendered implications of climate response strategies, multiple indicators for evaluation, and the influence of community and place.
Protracted and prolonged droughts lead to famine and substantial decline in agricultural productivity that contribute to food insecurity and hunger in sub-Saharan Africa which needs to explore the risk coping strategies to better target risk mitigation. The main research question of this paper was to analyze ex-post coping strategies and their determinants in rural Ethiopia. We use a cross-section data collected in 2013 from vulnerable rural households in Rayitu district, Bale Zone of Oromia Regional State. Using population-proportionate to size (PPS) sampling technique, a total number of 1,402 households in the district participated in this study. The data were analyzed using a three-stage least squares (3SLS) method. Our analysis confirms that rural households in Rayitu district experience drought and are vulnerable to the consequences of shocks. As a response, rural households adopt interdependent risk coping strategies. This supports the notion of addressing the problem of risk through integrated rural development strategies (and policies) to help the poor to improve the vulnerability to shock and help to escape out of poverty. In addition, we found that the risk coping strategies that households adopt are influenced by the resource holdings and income levels of the rural households, their access to product and financial market, and their socio-demographic characteristics. Hence, we argue that strategies and interventions to improve the livelihood of the poor and to support the vulnerable ones should be targeted to fit to the needs and priorities of households.
Globally, drought impacts more people than any other natural hazard. However, drought is also the most complex natural hazard, and its impacts are not evenly distributed across the landscape or among human populations. Just as the impacts of drought vary, so do the coping strategies used by people during drought. The research to-date on drought coping strategies in Sub-Saharan Africa are highly quantitative, focused on top-down interventions, and do not emphasize individual perceptions, experience, and autonomous decision-making when coping with drought. This paper aims to fill these gaps by examining the human experience of coping with drought through narratives from farmers in Burat and Kinna, Isiolo County, Kenya. This paper highlights (1) their perceived impacts of drought, and (2) the various coping strategies used. A total of 83 interviews were conducted in 20 households. Results found that the perceived impacts of drought were decreased agricultural productivity, livestock hunger, death, and relocation, a lack of water in rivers, human hunger and disease, and violent conflict. The strategies for coping with drought included changing agricultural practices, adopting irrigation, relying on aid, charcoal burning, casual labor, livelihood diversification, and others. Importantly, these coping strategies can be classified into four categories: livelihood diversification, longer-term livelihood strategies, short-term coping activities, and erosive coping strategies. This research contributes to the effort to better document and understand farmers? perceptions and strategies to cope with drought through qualitative research methods and from the perspective of the individual smallholder farmer, which is important for making context-specific policy and project recommendations aimed at smallholder farmers.
BACKGROUND: Malaria has continued to be a life-threatening disease among under-five children in sub-Saharan Africa. Recent data indicate rising cases in Rwanda after some years of decline. We aimed at estimating the spatial variations in malaria prevalence at a continuous spatial scale and to quantify locations where the prevalence exceeds the thresholds of 5% and 10% across the country. We also consider the effects of some socioeconomic and climate variables. METHODS: Using data from the 2014-2015 Rwanda Demographic and Health Survey, a geostatistical modeling technique based on stochastic partial differential equation approach was used to analyze the geospatial prevalence of malaria among under-five children in Rwanda. Bayesian inference was based on integrated nested Laplace approximation. RESULTS: The results demonstrate the uneven spatial variation of malaria prevalence with some districts including Kayonza and Kirehe from Eastern province; Huye and Nyanza from Southern province; and Nyamasheke and Rusizi from Western province having higher chances of recording prevalence exceeding 5%. Malaria prevalence was found to increase with rising temperature but decreases with increasing volume for rainfall. The findings also revealed a significant association between malaria and demographic factors including place of residence, mother’s educational level, and child’s age and sex. CONCLUSIONS: Potential intervention programs that focus on individuals living in rural areas, lowest wealth quintile, and the locations with high risks should be reinforced. Variations in climatic factors particularly temperature and rainfall should be taken into account when formulating malaria intervention programs in Rwanda.
BACKGROUND: Malaria is a serious public health problem of most developing countries, including Ethiopia. The burden of malaria is severely affecting the economy and lives of people, particularly among the productive ages of rural society. Thus, this study was targeted to analyze the past five-year retrospective malaria data among the rural setting of Maygaba town, Welkait district, northwest Ethiopia. METHODS: The study was done on 36,219 outpatients attending for malaria diagnosis during January 2015 to 2019. Data was extracted from the outpatient medical database. Chi-square (χ (2)) test and binary logistic regression model were used to analyze the retrospective data. Statistical significance was defined at p < 0.05. RESULTS: Of 36,219 outpatients examined, 7,309 (20.2%) malaria-positive cases were reported during 2015-2019. There was a fluctuating trend in the number of malaria-suspected and -confirmed cases in each year. Male slide-confirmed (61.4%, N = 4,485) were significantly higher than females (38.6%, N = 2,824) (p < 005). Plasmodium falciparum and Plasmodium vivax were the dominant parasites detected, which accounted for 66.1%; N = 4832, 33.9%; N = 2477, respectively. Despite the seasonal abundance of malaria cases, the highest prevalence was recorded in autumn (September to November) in the study area. Binary logistic regression analysis revealed that statistically significant associations were observed between sexes, interseasons, mean seasonal rainfall, and mean seasonal temperature with the prevalence of P. vivax. However, P. falciparum has shown a significant association with interseasons and mean seasonal temperature. CONCLUSIONS: Although the overall prevalence of malaria was continually declined from 2015-2019, malaria remains the major public health problem in the study area. The severe species of P. falciparum was found to be the dominant parasite reported in the study area. A collaborative action between the national malaria control program and its partners towards the transmission, prevention, and control of the two deadly species is highly recommended.
This study explored food security and climate change issues and assessed how food sovereignty contributes to addressing the climate change impacts on entire food systems. The study aimed to contextualise food security, climate change, and food sovereignty within Sri Lanka’s current development discourse by bringing global learning, experience, and scholarship together. While this paper focused on many of the most pressing issues in this regard, it also highlighted potential paths towards food sovereignty in the context of policy reforms. This study used a narrative review that relied on the extant literature to understand the underlying concepts and issues relating to climate change, food security and food sovereignty. Additionally, eight in-depth interviews were conducted to obtain experts’ views on Sri Lanka’s issues relating to the thematic areas of this study and to find ways forward. The key findings from the literature review suggest that climate change has adverse impacts on global food security, escalating poverty, hunger, and malnutrition, which adversely affect developing nations and the poor and marginalised communities disproportionately. This study argues that promoting food sovereignty could be the key to alleviating such impacts. Food sovereignty has received much attention as an alternative development path in international forums and policy dialogues while it already applies in development practice. Since the island nation has been facing many challenges in food security, poverty, climate change, and persistence of development disparities, scaling up to food sovereignty in Sri Lanka requires significant policy reforms and structural changes in governance, administrative systems, and wider society.
Mountains are considered as the early indicators of climate change. The study aims to understand how the Himalayan communities perceive climate change, and how this change has impacted the livelihood and sus-tenance of local people particularly in the remote and rural areas of the region. In view of this, 994 house-holds of 25 villages were interviewed from five basins (five villages per basin) of the Indian Himalayan Region. Their perceptions mainly of climate change were validated/compared with the available climatic indices. People perceived rainfall pattern to be less predictable, greater change in land-use pattern, adverse impacts on forests and human health and overall reduction in their harvests. Seasonal increase in temperature was also reported. Capacity-building programmes for the inhabitants, including the most vulnerable communities in the wake of climate change would be significantly fruitful by way of mitigation and adaptation strategies.
Does deprivation of assets imply an increased likelihood of vulnerability to climate change? Our study attempts to answer this question by analyzing the multidimensional poverty in rural Bihar, followed by deciphering the link between the developed poverty index and vulnerability of agriculture to climate change. Vulnerability index used in the present study was developed under the National Initiative on Climate Resilient Agriculture (NICRA) by the Government of India. As most people in rural areas and those dependent on rural based livelihood activities (such as agriculture, forestry and livestock) are more vulnerable to vagaries of weather, related attributes (i.e. land ownership, livestock ownership as well as access to agriculture equipments) are included in our analysis. We found that the extent of multidimensional poverty in rural Bihar was 0.278 indicating that rural poor were deprived in 27.8 percent of the total potential deprivations that they could experience overall. It varied from 0.19 to 0.39 across districts. The findings highlight that a majority of the population were deprived in living standard dimension, followed by health and education dimensions. Further, the districts where the multidimensional poverty was high were also more vulnerable to climate change. The study advocates for formulation of district specific programs that can target major contributing factors resulting in reducing the extent of multidimensional poverty and vulnerability.
Toxic gaseous organic air pollutants such as benzene, toluene, ethylbenzene, and xylene isomers (m, p, and o-x) (BTEX) are considered hazardous due to its adverse impacts on human health and on climate change. This review identifies the major research questions addressed so far and the research gap in research articles, published between 2001 and 2022, focusing on the ambient BTEX concentrations in different locations in India along with its sources, ozone formation potential (OFP), and associated health risks. The ambient levels of BTEX were also compared with those of other Asian countries. A comparison of ambient BTEX levels with different microenvironments in India is also presented. BTEX concentrations were found in the range of 30.95 to 317.18 mu g m(-3) and multi-fold higher in urban environments than those measured in the rural air. In most reported studies, the order of occurrence of BTEX compounds was toluene > benzene > xylene isomers > ethylbenzene and winter had higher concentrations than in other seasons, including summer. As far as BTEX levels in classified areas of urban environments are concerned, traffic locations have shown the highest BTEX concentrations, followed by residential, commercial, and industrial locations. OFP indicated that xylene isomers and toluene contributed to ozone formation. The major gaps in reported studies on BTEX measurement are (1) source apportionment; (2) impact on lower tropospheric chemistry, human health, and climate change; and (3) removal techniques from air.
Rural communities are dependent on their native environment for supporting their customs, traditions, and other rural activities. This study attempts to understand the effects of the changing climate on rural individuals by investigating their feelings and experiences of perceived changes in the home environment and village life. Thirty-four in-depth interviews were conducted during the months of May-June 2019 in two districts-Gaya and Jehanabad of South Bihar, India. The findings reveal that the rural population have experienced changes in climate such as a rise in the incidence of heatwaves, erratic rainfall patterns, delay in monsoon onset, early drying of water resources, and loss of particular tree and bird species. Worries and uncertainties of the rural population have emerged from the experiences of involuntary separation from traditional farm activities, forced adaptation strategies, loss of cultural and religious practices, and reduced self-worth in coping with the deteriorating environment. The changing climate instigates feelings of emotional distress, resulting in adverse mental health and psychological well-being outcomes. It is concluded that the changing climate is responsible for the loss of traditional village customs and nature-related cultural practices, subsequently inducing solastalgia among the rural population.
The Tista floodplain is one of the major food baskets of North Bengal and is sensitive to a multitude of issues regarding vulnerability. The riparian areas and the river island or charland of the lower Tista River basin in India, specifically from Sevoke to the Indo-Bangladesh border, generally suffer due to flood-prone, river course shifting, limited livelihood activities, low adaptive capacity, and poor accessibility. The present work is conducted to assess the livelihood vulnerability based on the livelihood vulnerability index (LVI) framework of the agriculture-dependent riparian villages and the charlands of the River Tista in the Jalpaiguri district. Total 337 households of five villages from the Mal and Maynaguri block at the left bank of the Tista River were selected to conduct the field survey. The livelihood vulnerability was assessed based on eight major components (viz., socio-demographic profile, health condition, livelihood strategies, food support, water support, climatic variability, flood hazards, and social safety) and 42 sub-components. The three contributing factors, i.e., adaptive capacity, sensitivity, and exposure, have been combined to calculate the livelihood vulnerability employing the LVI and LVI-IPCC methodologies. The outcome of the study exhibit that LVI scored highest in Premganj Majhiali (0.436), followed by Basusuba (0.403), Uttar Marichbari (0.349), Domohani (0.335), and Chat Rarpur village (0.328). According to the LVI-IPCC results, Basusuba has the most vulnerability (0.015), whereas Domohani has the least (0.007). In terms of flood hazard, variations were noticed based on increasing distance from the river. Lack of adaptive capacity prevailed in the villages with significant flooding events. Building awareness of the inhabitants will be an effective way to improve the adaptive capacity of the rural villagers. Therefore, giving priority to the policies depending on the natural environment of the active flood-prone region would make long-term sustainability.
As a result of global climate change, the frequency and intensity of heat waves have increased significantly. According to the World Meteorological Organization (WMO), extreme temperatures in southwestern Pakistan have exceeded 54 degrees C in successive years. The identification and assessment of heat-health vulnerability (HHV) are important for controlling heat-related diseases and mortality. At present, heat waves have many definitions. To better describe the heat wave mortality risk, we redefine the heat wave by regarding the most frequent temperature (MFT) as the minimum temperature threshold for HHV for the first time. In addition, different indicators that serve as relevant evaluation factors of exposure, sensitivity and adaptability are selected to conduct a kilometre-level HHV assessment. The hesitant analytic hierarchy process (H-AHP) method is used to evaluate each index weight. Finally, we incorporate the weights into the data layers to establish the final HHV assessment model. The vulnerability in the study area is divided into five levels, high, middle-high, medium, middle-low and low, with proportions of 3.06%, 46.55%, 41.85%, 8.53% and 0%, respectively. Health facilities and urbanization were found to provide advantages for vulnerability reduction. Our study improved the resolution to describe the spatial heterogeneity of HHV, which provided a reference for more detailed model construction. It can help local government formulate more targeted control measures to reduce morbidity and mortality during heat waves.
In a rapidly warming world, sustainable cooling is directly related to the protection of fresh and nutritious food, medicines, and the population from extreme heat for work conditions, the economic productivity of the working population, and income generation. This study aimed to understand how rural communities are meeting their nutrition, livelihood, health, living space, and mobility requirements regarding the role of cooling. We selected three villages as case studies in Maharashtra, India and conducted household surveys, in-depth interviews of key informants, focus group discussions (FGDs), and social mapping building typology study. The objective was to assess the rural community cooling to propose a community cooling hub (CCH) framework that could be economically, environmentally, and socially sustainable for the three villages. Our study showed that agriculture, dairy, buildings (domestic and commercial), and healthcare require cooling intervention in the studied communities. Based on the needs assessment for cooling, we proposed a CCH framework to provide cooling solutions in an integrated system for rural contexts.
The elderly are one of the most vulnerable groups to heat-related illnesses and mortality. In tropical countries like India, where heat waves have increased in frequency and severity, few studies have focused on the level of stress experienced by the elderly. The study presented here included 130 elderly residents of Kolkata slums and 180 elderly residents of rural villages about 75 km south of Kolkata. It used miniature monitoring devices to continuously measure temperature, humidity, and heat index experienced during everyday activities over 24-h study periods, during hot summer months. In the Kolkata slum, construction materials and the urban heat island effect combined to create hotter indoor than outdoor conditions throughout the day, and particularly at night. As a result, elderly slum residents were 4.3 times more likely to experience dangerous heat index levels (≥ 45°C) compared to rural village elderly. In both locations, the median 24-h heat indexes of active elderly were up to 2°C higher than inactive/sedentary elderly (F = 25.479, p < 0.001). Among Kolkata slums residents, there were no significant gender differences in heat exposure during the day or night, but in the rural village, elderly women were 4 times more likely to experience dangerous heat index levels during the hottest times of the day compared to elderly men. Given the decline in thermoregulatory capacity associated with aging and the increasing severity of extreme summer heat in India, these results forecast a growing public health challenge that will require both scientific and government attention.
The impact of heat stress among the elderly in India-particularly the elderly poor-has received little or no attention. Consequently, their susceptibility to heat-related illnesses is virtually unknown, as are the strategies they use to avoid, or deal with, the heat. This study examined perceptions of comfort, heat-related symptoms, and coping behaviors of 130 elderly residents of Kolkata slums and 180 elderly residents of rural villages south of Kolkata during a 90-day period when the average 24-h heat indexes were between 38.6 °C and 41.8 °C. Elderly participants in this study reported being comfortable under relatively warm conditions-probably explained by acclimatization to the high level of experienced heat stress. The prevalence of most heat-related symptoms was significantly greater among elderly women, who also were more likely to report multiple symptoms and more severe symptoms. Elderly women in the rural villages were exposed to significantly hotter conditions during the day than elderly men, making it likely that gender differences in symptom frequency, number and severity were related to gender differences in heat stress. Elderly men and elderly village residents made use of a greater array of heat-coping behaviors and exhibited fewer heat-related symptoms than elderly women and elderly slum residents. Overall, heat measurements and heat-related symptoms were less likely to be significant predictors of most coping strategies than personal characteristics, building structures and location. This suggests that heat-coping behaviors during hot weather were the result of complex, culturally influenced decisions based on many different considerations besides just heat stress.
Climate change threatens global sustainability, especially in rural communities of developing countries. In Pakistan, severe impacts of climate change have become evident in the recent past. Large-scale floods in the Indus river system have caused massive damages in the past decade. Also, frequent droughts and heatwaves are among other consequences of the changing climate in the country. Understanding the perspective of local communities regarding climate change adaptation strategies is pivotal to effective policymaking. We surveyed the rural community in the Indus Basin, in southern Punjab, Pakistan, to assess the climate change adaptations currently practiced. We found that the respondents perceive droughts, floods, and disease outbreaks (which are frequently followed by flooding events) as major climate change-induced threats. The respondents used flood and drought-resistant crop varieties, field boundaries (spate irrigation), migration to safe places, and loans as key adaptation strategies. We also assessed the socioeconomic determinants of climate change adaptation behaviour using a binary logistic regression model. Gender, occupation, and education influenced the adaptations to climate change. The present study highlights the need for monetary support to flood-prone communities, better medical facilities, provision of drought and flood-resistant crop varieties, and awareness campaigns to enhance adaptive capacity in the study area.
Introduction: Dengue is a mosquito borne viral disease. found in tropical and subtropical countries. Dengue virus (DENV) infected mosquitoes of Aedes species are crucial for the transmission of disease. It has emerged as a threat to the public health systems. Dengue is endemic in many parts of India but still the status of dengue cases in Rewa Madhya Pradesh is not reported convincingly. Aim: To investigate the presence of dengue in Rewa district of Madhya Pradesh. Materials and Methods: This cross-sectional study was conducted in the Department of Microbiology at Shyam Shah Medical college Rewa under National Vector Borne Disease Control Programme (NVBDCP), Rewa, Madhya Pradesh, India, including 1113 Outpatient/Inpatient Department samples received during March 2021 to October 2021. Blood samples were collected from patients having febrile illness and after serum separation, serum were subjected to NS1 Enzyme Linked Immunosorbent Assay (ELISA) test. Descriptive statistics and Chi-square tests were applied for data analysis. Results: A total of 1113 sample were received and tested for dengue NS1 out of that 108 sample were found NS1 positive by ELISA. The cases of dengue started from the month of July 2021. But in the month of October dengue positivity was highest in number. Dengue cases reported were 297 (6.73%) in the rainy season (July-August), but the dengue positivity increased (713, 9.3%) in the post rainy season (September-October). Overall prevalence of dengue was higher in the 21-30 years (34.3%) age group followed by 11-20 years (24.1%), 31-40 years (18.5%), 41-50 years (18.5%), 51-60 years (7.4%) and >60 years (3.70%) age groups with respect to total positive cases. The prevalence of dengue was higher in male (12.94%) in comparison to females (5.54%). Conclusion: This study warrants the dengue virus infection as one of the important causes of fever during rainy and post rainy season in this region. Early diagnosis and reporting of cases are important for the better management of disease.
Rural populations experience underinvestment in communication and technology infrastructure that may contribute to an information gap about climate change and the relationship to health impacts in rural communities. This report describes how a student and nursing faculty member provided community edu-cation to 3 rural communities about how climate change impacts the health of rural communities through the local community newspaper serving the 3 communities. Climate and health-related topics in a weekly newspaper column in this project included extreme heat events, Lyme disease, air pollution, water quality, soil health, environmental justice, and the role of the nurse in planetary health.(c) 2021 Elsevier Inc. All rights reserved.
In 2021, the British Columbia (BC) Interior experienced a series of unprecedented disasters, ranging from extreme heat and wildfires to catastrophic flooding and evacuations. Along with these severe weather events, BC was affected by COVID-19 outbreaks and public health restrictions. Despite these challenges, communities worked to ensure that youths who are at risk for increased mental health challenges continued to have access to services that promote well-being, such as individual placement and support programs for supported employment and education. This Open Forum presents program considerations and adaptations in Foundry Penticton, one of 12 province-wide integrated youth hubs, to ensure service delivery during acute and chronic disasters.
How do older people’s living environments influence their vulnerabilities to climate change? Much has been written about the physiological consequences of climate change for older individuals, particularly the dangers of increased incidence of severe heat. Less is known about how older people’s residential settings moderate their exposure to climate stressors, their particular sensitivities to the effects of climate change, or their capacities to respond to extreme events or adapt to long-term environmental changes. Drawing on literature in English, with a focus on work relevant to the United States, we examine how the housing, neighborhood, and urban or rural contexts in which older people live shape their experiences of climate change, moderating their exposure to risks related to climate change, sensitivity to those events and trends, and their capacities to adapt and recover. Older people face multiple life changes, making prioritizing climate readiness more challenging. They are also diverse, with different vulnerabilities and perceptions of risks and the ability to manage them. This paper lays out an agenda where additional research can inform policy and planning efforts aimed at reducing older individuals’ risk and building the capacity to adapt to climate change. The agenda includes understanding specific vulnerabilities and how older people and their housing providers are already responding.
BACKGROUND: Climate change has important implications for mental health globally. Yet, few studies have quantified the magnitude and direction of associations between weather and mental health-related factors, or assessed the geographical distribution of associations, particularly in areas experiencing rapid climatic change. This study examined the associations between air temperature variables and mental health-related community clinic visits across Nunatsiavut, Labrador, Canada, and the place-specific attributes of these associations. METHODS: Daily de-identified community clinic visit data were collected from the provincial electronic health recording system and linked to historical weather data (2012-2018). A multilevel, multivariable negative binomial regression model was fit to investigate associations between temperature variables and mental health-related community clinic visits across the region, adjusting for seasonality as a fixed effect and community as a random effect. A multivariable negative binomial model was then fit for each Nunatsiavut community, adjusting for seasonality. RESULTS: Mental health-related visits contributed to 2.4% of all 228,104 visit types across the study period; this proportion ranged from 0.6% to 11.3% based on community and year. Regionally, the incidence rate of mental health-related community clinic visits was greater after two weeks of warm average (i.e. above -5ᵒC) temperatures compared to temperatures below -5ᵒC (IRR(-5≤5ᵒC) = 1.47, 95% CI = 1.21-1.78; IRR(6≤15ᵒC) = 2.24, 95% CI = 1.66-3.03; IRR(>15ᵒC) = 1.73, 95% CI = 1.02-2.94), and the incidence rate of mental health-related clinic visits was lower when the number of consecutive days within -5 to 5ᵒC ranges (i.e. temperatures considered to be critical to land use) increased (IRR = 0.96; 95% CI = 0.94-0.99), adjusting for seasonal and community effects. Community-specific models, however, revealed that no two communities had the same association between meteorological conditions and the incidence rate of daily mental health-related visits. DISCUSSION: Regionally, longer periods of warm temperatures may burden existing healthcare resources and shorter periods of temperatures critical to land use (i.e. -5 to 5ᵒC) may present enjoyable or opportunistic conditions to access community and land-based resources. The heterogeneity found in temperature and mental health-related clinic visits associations across Nunatsiavut communities demonstrates that place quantitatively matters in the context of Inuit mental health and climate change. This evidence underscores the importance of place-based approaches to health policy, planning, adaptation, and research related to climate change, particularly in circumpolar regions such as Nunatsiavut where the rate of warming is one of the fastest on the planet.
Upward trends in ground-level warming are expected to intensify, affecting the health of human populations. Specific to the United States, the Northeast (NE) region is one of the most vulnerable to these warming trends. Previous research has found social disparities in the distribution of heat, while recent studies have examined associations between metropolitan racial/ethnic segregation and heat exposures. We advance upon previous research by including a novel measure of neighborhood-level racial/ethnic diversity in our examination of social inequalities in heat for NE neighborhoods (census tracts). We paired data derived from the United States Geological Survey on mean land surface temperature (LST) for the summer months of 2013-2017 with sociodemographic data from the American Community Survey (5-year estimates, 2013-2017). We use multivariable generalized estimating equations (GEEs) that adjust for geographic clustering. Findings reveal heat exposure disparities across NE neighborhoods. Neighborhoods with higher proportions of racial/ethnic minorities, people of lower socioeconomic status, households without access to an automobile, and greater diversity experience higher temperatures. Diversity was more strongly related to increased heat in neighborhoods with lower Latinx and lower Black composition suggesting that neighborhood homogeneity confers a differentially greater cooling effect based on higher White composition. The social groups that carry the unequal thermal burdens are also those who are most vulnerable. Interventions to reduce heat risks in the NE should therefore prioritize reducing the burden on historically disadvantaged communities.
Heatwave warning systems rely on forecasts made for fixed-point weather stations (WS), which do not reflect variation in temperature and humidity experienced by individuals moving through indoor and outdoor locations. We examined whether neighborhood measurement improved the prediction of individually experienced heat index in addition to nearest WS in an urban and rural location. Participants (residents of Birmingham, Alabama [N = 89] and Wilcox County, Alabama [N = 88]) wore thermometers clipped to their shoe for 7 days. Shielded thermometers/hygrometers were placed outdoors within participant’s neighborhoods (N = 43). Nearest WS and neighborhood thermometers were matched to participant’s home address. Heat index (HI) was estimated from participant thermometer temperature and WS humidity per person-hour (HI[individual]), or WS temperature and humidity, or neighborhood temperature and humidity. We found that neighborhood HI improved the prediction of individually experienced HI in addition to WS HI in the rural location, and neighborhood heat index alone served as a better predictor in the urban location, after accounting for individual-level factors. Overall, a 1 °C increase in HI[neighborhood] was associated with 0.20 °C [95% CI (0.19, 0.21)] increase in HI[individual]. After adjusting for ambient condition differences, we found higher HI[individual] in the rural location, and increased HI[individual] during non-rest time (5 a.m. to midnight) and on weekdays.
Maria made a landfall in Puerto Rico on September 20, 2017 as a category 4 hurricane, causing severe flooding, widespread electricity outages, damage to infrastructure, and interruptions in water and wastewater treatment. Small rural community water systems face unique challenges in providing drinking water, which intensify after natural disasters. The purpose of this study was to evaluate the functionality of six very small rural public water systems and one large regulated system in Puerto Rico six months after Maria and survey a broad sweep of fecal, zoonotic, and opportunistic pathogens from the source to tap. Samples were collected from surface and groundwater sources, after water treatment and after distribution to households. Genes indicative of pathogenic Leptospira spp. were detected by polymerase chain reaction (PCR) in all systems reliant on surface water sources. Salmonella spp. was detected in surface and groundwater sources and some distribution system water both by culture and PCR. Legionella spp. and Mycobacteria spp. gene numbers measured by quantitative PCR were similar to nonoutbreak conditions in the continental U.S. Amplicon sequencing provided a nontarget screen for other potential pathogens of concern. This study aids in improving future preparedness, assessment, and recovery operations for small rural water systems after natural disasters.
BACKGROUND: Drought represents a globally relevant natural disaster linked to adverse health. Evidence has shown agricultural communities to be particularly susceptible to drought, but there is a limited understanding of how drought may impact occupational stress in farmers. METHODS: We used repeated measures data collected in the Musculoskeletal Symptoms among Agricultural Workers Cohort study, including 498 Midwestern U.S. farmers surveyed with a Job Content Questionnaire (JCQ) at six-month intervals in 312 counties from 2012 through 2015. A longitudinal linear mixed effects model was used to estimate the change in job strain ratio, a continuous metric of occupational psychosocial stress, during drought conditions measured with a 12-month standardized precipitation index. We further evaluated associations between drought and psychological job demand and job decision latitude, the job strain components, and applied a stratified analysis to evaluate differences by participant sex, age, and geography. RESULTS: During the growing season, the job strain ratio increased by 0.031 (95% CI: 0.012, 0.05) during drought conditions, an amount equivalent to a one-half standard deviation change (Cohen’s D = 0.5), compared to non-drought conditions. The association between drought and the job strain ratio was driven mostly by increases in the psychological job demand (2.09; 95% CI: 0.94, 3.24). No risk differences were observed by sex, age group, or geographic region. CONCLUSIONS: Our results suggest a previously unidentified association between drought and increased occupational psychosocial stress among farmers. With North American climate anticipated to become hotter and drier, these findings could provide important health effects data for federal drought early warning systems and mitigation plans.
BACKGROUND: Health disparities exist between urban and rural populations, yet research on rural-urban disparities in temperature-mortality relationships is limited. As inequality in the United States increases, understanding urban-rural and regional differences in the temperature-mortality association is crucial. OBJECTIVE: We examined regional and urban-rural differences of the temperature-mortality association in North Carolina (NC), USA, and investigated potential effect modifiers. METHODS: We applied time-series models allowing nonlinear temperature-mortality associations for 17 years (2000-2016) to generate heat and cold county-specific estimates. We used second-stage analysis to quantify the overall effects. We also explored potential effect modifiers (e.g. social associations, greenness) using stratified analysis. The analysis considered relative effects (comparing risks at 99th to 90th temperature percentiles based on county-specific temperature distributions for heat, and 1st to 10th percentiles for cold) and absolute effects (comparing risks at specific temperatures). RESULTS: We found null effects for heat-related mortality (relative effect: 1.001 (95% CI: 0.995-1.007)). Overall cold-mortality risk for relative effects was 1.019 (1.015-1.023). All three regions had statistically significant cold-related mortality risks for relative and absolute effects (relative effect: 1.019 (1.010-1.027) for Coastal Plains, 1.021 (1.015-1.027) for Piedmont, 1.014 (1.006-1.023) for Mountains). The heat mortality risk was not statistically significant, whereas the cold mortality risk was statistically significant, showing higher cold-mortality risks in urban areas than rural areas (relative effect for heat: 1.006 (0.997-1.016) for urban, 1.002 (0.988-1.017) for rural areas; relative effect for cold: 1.023 (1.017-1.030) for urban, 1.012 (1.001-1.023) for rural areas). Findings are suggestive of higher relative cold risks in counties with the less social association, higher population density, less green-space, higher PM(2.5,) lower education level, higher residential segregation, higher income inequality, and higher income (e.g., Ratio of Relative Risks 1.72 (0.68, 4.35) comparing low to high education). CONCLUSION: Results indicate cold-mortality risks in NC, with potential differences by regional, urban-rural areas, and community characteristics.
Canadians face an emerging threat of Lyme disease due to the northward expansion of the tick vector, Ixodes scapularis. We evaluated the degree of I. scapularis population establishment and Borrelia burgdorferi occurrence in the city of Ottawa, Ontario, Canada from 2017-2019 using active surveillance at 28 sites. We used a field indicator tool developed by Clow et al. to determine the risk of I. scapularis establishment for each tick cohort at each site using the results of drag sampling. Based on results obtained with the field indicator tool, we assigned each site an ecological classification describing the pattern of tick colonization over two successive cohorts (cohort 1 was comprised of ticks collected in fall 2017 and spring 2018, and cohort 2 was collected in fall 2018 and spring 2019). Total annual site-specific I. scapularis density ranged from 0 to 16.3 ticks per person-hour. Sites with the highest density were located within the Greenbelt zone, in the suburban/rural areas in the western portion of the city of Ottawa, and along the Ottawa River; the lowest densities occurred at sites in the suburban/urban core. B. burgdorferi infection rates exhibited a similar spatial distribution pattern. Of the 23 sites for which data for two tick cohorts were available, 11 sites were classified as “high-stable”, 4 were classified as “emerging”, 2 were classified as “low-stable”, and 6 were classified as “non-zero”. B. burgdorferi-infected ticks were found at all high-stable sites, and at one emerging site. These findings suggest that high-stable sites pose a risk of Lyme disease exposure to the community as they have reproducing tick populations with consistent levels of B. burgdorferi infection. Continued surveillance for I. scapularis, B. burgdorferi, and range expansion of other tick species and emerging tick-borne pathogens is important to identify areas posing a high risk for human exposure to tick-borne pathogens in the face of ongoing climate change and urban expansion.
AIM: The purpose of this retrospective, correlational pilot study was to explore the relationship between historical weekly weather data including temperature, dew point, humidity, barometric pressure, visibility, and cloud cover compared to weekly influenza-like illness reports over a four year period. BACKGROUND: Climate and weather-related conditions may affect the viral activity and transmission of influenza, although this relationship has not been widely studied in nursing. Some research suggests that there are causal links between cold temperatures, low indoor humidity, minimal sun exposure, and influenza outbreaks. Additionally, rapid weather variability in a warming climate can increase influenza epidemic risk. METHODS: Data from a local public health district were extracted and used to correlate with weekly weather averages for the area. RESULTS: Findings showed that current influenza reports are significantly associated with temperature and visibility, both lagged two weeks. CONCLUSIONS: Though more research is needed, nurses must understand, recognize, and act upon weather and climate factors that affect the health of populations. With a greater understanding of the relationship between weather and influenza-like illness, nurses and other healthcare providers can potentially work to respond to and mitigate the consequences of weather-related illness as well as anticipate and prepare for increased flu burden. Furthermore, nurses can remain engaged in climate protective initiatives and policy development at their local community and/or organizational levels to underscore and advocate for the needs of populations and groups they serve.
Wildfires can be detrimental to urban and rural communities, causing impacts in the form of psychological stress, direct physical injury, and smoke-related morbidity and mortality. This study examined the area burned by wildfires over the entire state of California from the years 2000 to 2020 in order to quantify and identify whether burned area and fire frequency differed across Census tracts according to socioeconomic indicators over time. Wildfire data were obtained from the California Fire and Resource Assessment Program (FRAP) and National Interagency Fire Center (NIFC), while demographic data were obtained from the American Community Survey. Results showed a doubling in the number of Census tracts that experienced major wildfires and a near doubling in the number of people residing in wildfire-impacted Census tracts, mostly due to an over 23,000 acre/year increase in the area burned by wildfires over the last two decades. Census tracts with a higher fire frequency and burned area had lower proportions of minority groups on average. However, when considering Native American populations, a greater proportion resided in highly impacted Census tracts. Such Census tracts also had higher proportions of older residents. In general, high-impact Census tracts tended to have higher proportions of low-income residents and lower proportions of high-income residents, as well as lower median household incomes and home values. These findings are important to policymakers and state agencies as it relates to environmental justice and the allocation of resources before, during, and after wildfires in the state of California.
Background and purpose: We describe a novel, interprofessional, experiential training involving pharmacy students in response to a health emergency in rural Montana (MT). Educational activity and setting: Fourth-year pharmacy students on clinical rotations were recruited to participate in screening events assessing effects of wildfire smoke in Seeley Lake, MT. Students were required to fulfill at least two hours of supplementary training in addition to education on human research guidelines. Students assisted with patient surveys (demographics, health, and respiratory), physiological testing with biomedical researchers, blood pressure and medication counseling, and spirometry specialists. Findings: At least 20 pharmacy students have participated in this project in addition to nursing (n = 8), public health (n = 1), and social work (n = 1) students. In initial and subsequent screenings, students worked alongside a team of biomedical researchers and faculty from the University of Montana. An initial cohort of 95 patients was recruited. Summary: This unique experiential training opportunity has affordedpharmacy students access to rural community patient interaction and exposure to and performance of a variety of tests in response to an environmental health emergency. Furthermore, it enabled health professionals and researchers to assess individual and overall community health following an extreme wildfire smoke event, providing the groundwork for utilization of pharmacy students in healthcare responses to public health emergencies. (c) 2021 Elsevier Inc. All rights reserved.
This study focused on the measurement of BTEX (benzene, toluene, ethylbenzene and xylene) concentrations in the air of various regions and indoor-outdoor environments in Bandar Abbas, Iran. Air samples were taken actively and analyzed by gas chromatography-mass spectrometry (GC-MS) during two one-month periods i.e., Feb 2020 (period I) and Sep/Oct 2020 (period II). The mean air temperature and the levels of all BTEX compounds were higher in period II. The highest total BTEX (t-BTEX) levels (median [min-max]) were found in the urban region (18.00 [5.21-67.24] μg m(-3)), followed by industrial region (7.00 [2.05-14.76] μg m(-3)) and rural region (2.81 [ND-7.38] μg m(-3)). The significant positive correlations between all BTEX compounds and T/B ratio >1 indicated the vehicular traffic as the main source of emission. At 95th percentile probability, the non-cancer risk of t-BTEX in urban region was only less than one order of magnitude below the threshold level of unity (1.91E-01) and the cancer risk of benzene exceeded the recommended level of 1.0E-06 by U.S. EPA in urban (7.69E-06) and industrial (2.97E-06) regions. It was found that the indoor/outdoor ratio of BTEX concentration in beauty salon and hospital was greater than 1. Overall, the current levels of BTEX in the ambient air of study area, especially near urban roadside and in some indoor environments, should not be overlooked and appropriate mitigation actions should be undertaken.
Purpose The purpose of this paper is to analyze the context of the emergence of a skin infection outbreak in the aftermath of Hurricane Matthew in Haiti and detail the role of community-based participatory research in mobilizing local action in a country with low state capacity. Design/methodology/approach While implementing a post-disaster study that combined a survey of 984 households and 69 community leaders with 23 focus groups, 60 ethnographic interviews and community mapping, a skin infection outbreak was detected. Using study results, the research team in partnership with different stakeholders responded to the outbreak with a health intervention. Findings The findings illustrate how pre-existing conditions shape local communities’ vulnerability to health crises in the aftermath of disasters and the critical role research can play in informing the recovery processes. Community-based approaches to emergency health reinforced by multi-stakeholder partnerships with local government can strengthen post-disaster response and governance structures setting the groundwork for the development of local resilience. Research limitations/implications The health intervention was implemented as a result of the study. Patients served were not derived from the study sample but were self-selected based on their need for skin-related medical treatment. Originality/value This article highlights the integral role research can play in identifying the health impacts of disaster events in vulnerable, hard-to-reach communities and strengthening government involvement in disaster governance.
BACKGROUND: Mesoamerica is severely affected by an epidemic of Chronic Kidney Disease of non-traditional origin (CKDnt), an epidemic with a marked variation within countries. We sought to describe the spatial distribution of CKDnt in Mesoamerica and examine area-level crop and climate risk factors. METHODS: CKD mortality or hospital admissions data was available for five countries: Mexico, Guatemala, El Salvador, Nicaragua and Costa Rica and linked to demographic, crop and climate data. Maps were developed using Bayesian spatial regression models. Regression models were used to analyze the association between area-level CKD burden and heat and cultivation of four crops: sugarcane, banana, rice and coffee. RESULTS: There are regions within each of the five countries with elevated CKD burden. Municipalities in hot areas and much sugarcane cultivation had higher CKD burden, both compared to equally hot municipalities with lower intensity of sugarcane cultivation and to less hot areas with equally intense sugarcane cultivation, but associations with other crops at different intensity and heat levels were not consistent across countries. CONCLUSION: Mapping routinely collected, already available data could be a first step to identify areas with high CKD burden. The finding of higher CKD burden in hot regions with intense sugarcane cultivation which was repeated in all five countries agree with individual-level studies identifying heavy physical labor in heat as a key CKDnt risk factor. In contrast, no associations between CKD burden and other crops were observed.
The present analysis uses the data of confirmed incidence of dengue cases in the metropolitan region of Panama from 1999 to 2017 and climatic variables (air temperature, precipitation, and relative humidity) during the same period to determine if there exists a correlation between these variables. In addition, we compare the predictive performance of two regression models (SARIMA, SARIMAX) and a recurrent neural network model (RNN-LSTM) on the dengue incidence series. For this data from 1999-2014 was used for training and the three subsequent years of incidence 2015-2017 were used for prediction. The results show a correlation coefficient between the climatic variables and the incidence of dengue were low but statistical significant. The RMSE and MAPE obtained for the SARIMAX and RNN-LSTM models were 25.76, 108.44 and 26.16, 59.68, which suggest that any of these models can be used to predict new outbreaks. Although, it can be said that there is a limited role of climatic variables in the outputs the models. The value of this work is that it helps understand the behaviour of cases in a tropical setting as is the Metropolitan Region of Panama City, and provides the basis needed for a much needed early alert system for the region.
This article compares urban and rural household water insecurity experiences during the last major drought period (2011-17) in the semi-arid interior region of Ceara, Brazil. Using data from a household survey (N = 322), we determined that households in small urban areas are more and differently water insecure than rural counterparts. Factor analysis and an ordinal logistic regression pinpoint key dimensions, such as water distress, water-sharing and intermittency, contribute differently to water insecurity in rural and urban households. Policy recommendations are made.
According to the World Health Organization, dengue is a neglected tropical disease. Latin America, specifically Colombia is in alert regarding this arbovirosis as there was a spike in the number of reported dengue cases at the beginning of 2019. Although there has been a worldwide decrease in the number of reported dengue cases, Colombia has shown a growing trend over the past few years. This study performed a Poisson multilevel analysis with mixed effects on STATA® version 16 and R to assess sociodemographic, climatic, and entomological factors that may influence the occurrence of dengue in three municipalities for the period 2010-2015. Information on dengue cases and their sociodemographic variables was collected from the National Public Health Surveillance System (SIVIGILA) records. For climatic variables (temperature, relative humidity, and precipitation), we used the information registered by the weather stations located in the study area, which are managed by the Instituto de Hidrologia, Meteorologia y Estudios Ambientales (IDEAM) or the Corporación Autónoma Regional (CAR). The entomological variables (house index, container index, and Breteau index) were provided by the Health office of the Cundinamarca department. SIVIGILA reported 1921 dengue cases and 56 severe dengue cases in the three municipalities; of them, three died. One out of four cases occurred in rural areas. The age category most affected was adulthood, and there were no statistical differences in the number of cases between sexes. The Poisson multilevel analysis with the best fit model explained the presentation of cases were temperature, relative humidity, precipitation, childhood, live in urban area and the contributory healthcare system. The temperature had the biggest influence on the presentation of dengue cases in this region between 2010 and 2015.
This systematic review of reviews was conducted to examine housing precarity and homelessness in relation to climate change and weather extremes internationally. In a thematic analysis of 15 reviews (5 systematic and 10 non-systematic), the following themes emerged: risk factors for homelessness/housing precarity, temperature extremes, health concerns, structural factors, natural disasters, and housing. First, an increased risk of homelessness has been found for people who are vulnerably housed and populations in lower socio-economic positions due to energy insecurity and climate change-induced natural hazards. Second, homeless/vulnerably-housed populations are disproportionately exposed to climatic events (temperature extremes and natural disasters). Third, the physical and mental health of homeless/vulnerably-housed populations is projected to be impacted by weather extremes and climate change. Fourth, while green infrastructure may have positive effects for homeless/vulnerably-housed populations, housing remains a major concern in urban environments. Finally, structural changes must be implemented. Recommendations for addressing the impact of climate change on homelessness and housing precarity were generated, including interventions focusing on homelessness/housing precarity and reducing the effects of weather extremes, improved housing and urban planning, and further research on homelessness/housing precarity and climate change. To further enhance the impact of these initiatives, we suggest employing the Human Rights-Based Approach (HRBA).
This research highlights the mismatch between food security and climate adaptation literature and practice in the Global North and South by focusing on nested case studies in rural India and the United States during the COVID-19 pandemic. The United States is one of the wealthiest countries in the world, but also has one of the largest wealth gaps. Comparatively, India has one of the largest populations of food insecure people. To demonstrate how adaptive food security approaches to climate change will differ, we first review the unique climate, agricultural, demographic, and socio-economic features; and then compare challenges and solutions to food security posed by the COVID-19 pandemic. While both countries rely on rural, low-income farmworkers to produce food, the COVID-19 pandemic has highlighted how agricultural and food security policies differ in their influence on both food insecurity and global hunger alike. Emphasis on agricultural production in developing regions where a majority of individuals living in rural areas are smallholder subsistence farmers will benefit the majority of the population in terms of both poverty alleviation and food production. In the Global North, an emphasis on food access and availability is necessary because rural food insecure populations are often disconnected from food production.
BACKGROUND: Climate vulnerability of the unborn can contribute to adverse birth outcomes, in particular, but it is still not well understood. We investigated the association between ambient temperature and stillbirth risk among a historical population in northern Sweden (1880-1950). METHODS: We used digitized parish records and daily temperature data from the study region covering coastal and inland communities some 600 km north of Stockholm, Sweden. The data included 141,880 births, and 3,217 stillbirths, corresponding to a stillbirth rate of 22.7 (1880-1950). The association between lagged temperature (0-7 days before birth) and stillbirths was estimated using a time-stratified case-crossover design. Incidence risk ratios (IRR) with 95% confidence intervals were computed, and stratified by season and sex. RESULTS: We observed that the stillbirth risk increased both at low and high temperatures during the extended summer season (April to September), at -10°C, and the IRR was 2.3 (CI 1.28, 4.00) compared to the minimum mortality temperature of +15°C. No clear effect of temperature during the extended winter season (October to March) was found. Climate vulnerability was greater among the male fetus compared to the female counterparts. CONCLUSION: In this subarctic setting before and during industrialization, both heat and cold during the warmer season increased the stillbirth risk. Urbanization and socio-economic development might have contributed to an uneven decline in climate vulnerability of the unborn.
BACKGROUND: Europe has emerged as a major climate change hotspot, both in terms of an increase in seasonal averages and climate extremes. Projections of temperature-attributable mortality, however, have not been comprehensively reported for an extensive part of the continent. Therefore, we aim to estimate the future effect of climate change on temperature-attributable mortality across Europe. METHODS: We did a time series analysis study. We derived temperature-mortality associations by collecting daily temperature and all-cause mortality records of both urban and rural areas for the observational period between 1998 and 2012 from 147 regions in 16 European countries. We estimated the location-specific temperature-mortality relationships by using standard time series quasi-Poisson regression in conjunction with a distributed lag non-linear model. These associations were used to transform the daily temperature simulations from the climate models in the historical period (1971-2005) and scenario period (2006-2099) into projections of temperature-attributable mortality. We combined the resulting risk functions with daily time series of future temperatures simulated by four climate models (ie, GFDL-ESM2M, HadGEM2-ES, IPSL-CM5A-LR, and MIROC5) under three greenhouse gas emission scenarios (ie, Representative Concentration Pathway [RCP]2.6, RCP6.0, and RCP8.5), providing projections of future mortality attributable fraction due to moderate and extreme cold and heat temperatures. FINDINGS: Overall, 7·17% (95% CI 5·81-8·50) of deaths registered in the observational period were attributed to non-optimal temperatures, cold being more harmful than heat by a factor of ten (6·51% [95% CI 5·14-7·80] vs 0·65% [0·40-0·89]), and with large regional differences across countries-eg, ranging from 4·85% (95% CI 3·75-6·00) in Germany to 9·87% (8·53-11·19) in Italy. The projection of temperature anomalies by RCP scenario depicts a progressive increase in temperatures, more exacerbated in the high-emission scenario RCP8.5 (4·54°C by 2070-2099) than in RCP6.0 (2·89°C) and RCP2.6 (1·67°C). This increase in temperatures was transformed into attributable fraction. Projections consistently indicated that the increase in heat attributable fraction will start to exceed the reduction of cold attributable fraction in the second half of the 21st century, especially in the Mediterranean and in the higher emission scenarios. The comparison between scenarios highlighted the important role of mitigation, given that the total attributable fraction will only remain stable in RCP2.6, whereas the total attributable fraction will rapidly start to increase in RCP6.0 by the end of the century and in RCP8.5 already by the middle of the century. INTERPRETATION: The increase in heat attributable fraction will start to exceed the reduction of cold attributable fraction in the second half of the 21st century. This finding highlights the importance of implementing mitigation policies. These measures would be especially beneficial in the Mediterranean, where the high vulnerability to heat will lead to an imbalance between the decreasing cold and increasing heat-attributable mortality. FUNDING: None.
Managed retreat is increasingly advocated as a means to promote resilience and adaptation to climate change. However, there are various uncertainties and challenges associated with the impacts of displacement and attachments to place. In this context, it is useful to study past examples of relocation to understand how these challenges have been addressed. This paper draws on a case study relocation scheme which took place in Ireland following major flooding in 1954. This represented a radical and comprehensive approach to relocation which sought to address the root causes of vulnerability. The analysis shows that this comprehensive approach was made possible through a connection between managed retreat and land reform. The scheme also faced opposition linked to attachments to place and property. This led to compromises and a failure to fully address the effects of flooding on livelihoods but contributed to resilience through ensuring that family and community ties remained intact. The paper’s distinctive contributions are its analysis of the requirements of transformative approaches to adaptation and relocation, its identification of challenges associated with place and property even in the context of such transformative approaches, and its adding of historical depth to contemporary debates on climate adaptation.
The objective of this study was to analyze and compare the effect of high temperatures on daily mortality in the urban and rural populations in Madrid. Data were analyzed from municipalities in Madrid with a population of over 10,000 inhabitants during the period from January 1, 2000 to December 31, 2020. Four groups were generated: Urban Metropolitan Center, Rural Northern Mountains, Rural Center, and Southern Rural. The dependent variable used was the rate of daily mortality due to natural causes per million inhabitants (CIE-X: A00-R99) between the months of June and September for the period. The primary independent variable was maximum daily temperature. Social and demographic “context variables” were included: population >64 years of age (%), deprivation index and housing indicators. The analysis was carried out in three phases: 1) determination of the threshold definition temperature of a heat wave (Tumbral) for each study group; 2) determination of relative risks (RR) attributable to heat for each group using Poisson linear regression (GLM), and 3) calculation of odds ratios (OR) using binomial family GLM for the frequency of the appearance of heat waves associated with context variables. The resulting percentiles (for the series of maximum daily temperatures for the summer months) corresponding to Tthreshold were: 74th percentile for Urban Metropolitan Center, 76th percentile for Southern Rural, 83rd for Rural Northern Mountains and 98th percentile for Center Rural (98). Greater vulnerability was found for the first two. In terms of context variables that explained the appearance of heat waves, deprivation index level, population >64 years of age and living in the metropolitan area were found to be risk factors. Rural and urban areas behaved differently, and socioeconomic inequality and the composition of the population over age 64 were found to best explain the vulnerability of the Rural Center and Southern Rural zones.
INTRODUCTION: There is currently little knowledge and few published works on the subject of vulnerability to heat in rural environments at the country level. Therefore, the objective of this study was to determine whether rural areas are more vulnerable to extreme heat than urban areas in Spain. This study aimed to analyze whether a pattern of vulnerability depends on contextual, environmental, demographic, economic and housing variables. METHODS: An ecological, longitudinal and retrospective study was carried out based on time series data between January 01, 2000 and December 31, 2013 in 42 geographic areas in 10 provinces in Spain. We first analyzed the functional relationship between the mortality rate per million inhabitants and maximum daily temperature (Tmax). We then determined the summer temperature threshold (Pthreshold) (June-September) at which increases in mortality are produced that are attributable to heat. In a second phase, based on Pthreshold, a vulnerability variable was calculated, and its distribution was analyzed using mixed linear models from the Poisson family (link = log). In these models, the dependent variable was vulnerability, and the independent variables were exposure to high temperatures, aridity of the climate, deprivation index, percentage of people over age 65, rurality index, percentage of housing built prior to 1980 and condition of dwellings. RESULTS: Rurality was a protective factor, and vulnerability in urban areas was six times greater. In contrast, risk factors included aridity (RR = 5.89 (2.26 15.36)), living in cool summer zones (2.69 (1.23, 5.91)), poverty (4.05 (1.91 8.59)) and the percentage of dysfunctional housing (1.13 (1.04 1.24)). CONCLUSIONS: Rural areas are less vulnerable to extreme heat than the urban areas analyzed. Also, population groups with worse working conditions and higher percentages of dwellings in poor conditions are more vulnerable.
The vast majority of studies on heat-related mortality are focused on large cities. The aim of this study is to fill this research gap and to estimate the impact of high temperatures on the risk of death in smaller towns and villages. The results show that increased mortality is not only a problem in large cities. The risk of death, although usually slightly lower than in highly populated areas, may be higher for the age-related risk group. At temperatures above 35 degrees C, it may exceed 1.3 in smaller towns and even 1.6 in villages. The increase in mortality during five selected heat waves of high intensity and long duration was also studied for two regions of Poland: Malopolska and Wielkopolska. Towns with a population of less than 10,000 in Malopolska region, during the 2006 heatwave, experienced an increase in the number of deaths by as much as 18%. At the same time in the largest city of Malopolska-Krakow, the death toll rose by 4%. This paper also presents some differences between regions in terms of the impact of heat waves: in the lowland region of Wielkopolska, the mortality rate is generally higher than in the upland region of Malopolska.
Background While many studies analyze the effect of extreme thermal events on health, little has been written about the effects of extreme cold on mortality. This scarcity of papers is particularly relevant when we search studies about extreme cold on the health of rural population. Therefore, we tried to analyze the effect of cold waves on urban areas and rural areas from Madrid and to test whether differentiated effects exist between both population classes. For this purpose, we analyzed data from the municipalities with over 10,000 inhabitants for the period from January 1, 2000 through December 31, 2013. Municipalities were classified as urban or rural (Eurostat), and they were grouped into similar climatological zones: Urban Metropolitan Centre (UMC), Rural Northern Mountains (RNM), Rural Centre (RC) and Southern Rural (SR). The dependent variable was the daily mortality rate due to natural causes per million inhabitants (CIE-X: A00-R99) that occurred between the months of November and March for the period. The independent variable was minimum daily temperature (oC) (T-min). Social and demographic contextual variables were used, including: population > age 64 (%), deprivation index and housing indicators. The analysis was carried out in three phases: (1) determination of the threshold temperature (T-threshold) which defines the cold waves; (2) determination of the relative risk (RR) for cold waves using Poisson linear regression (GLM); and (3) using GLM of the binomial family, Odds Ratios (OR) were calculated to analyze the relationship between the frequency of the appearance of cold waves and the socioeconomic variables. Results The UMC zone experienced 585 extreme cold events related to attributable increases in the mortality rate. The average number of cold waves in the rural zones was 319. The primary risk factor was the percentage of population over age 64, and the primary protective factor was housing rehabilitation. As a whole, the period experienced more cold waves (1542) than heat waves (1130). Conclusion The UMC was more vulnerable than the rural areas. Furthermore, the results support the development of prevention policies, especially considering the fact that cold wave events were more frequent than heat waves.
The frequency and severity of flooding events will increase over the coming decades due to global climate change. While close attention has typically been paid to infrastructural and environmental outcomes of flood events, the potential adverse human health consequences associated with post-event consumption from private groundwater sources have received minimal attention, leading to a poor understanding of private well users’ preparedness and the drivers of positive behavioural adoption. The current study sought to quantify the capacity of private well users to cope with flood-triggered contamination risks and identify the social psychological determinants of proactive attitudes in the Republic of Ireland, using a cross-sectional questionnaire incorporating two distinct models of health behaviour, the Health Belief Model and Risk-Attitude-Norms-Ability-Self Regulation model. Adoption of healthy behaviours prior to flooding was evaluated with respect to respondents’ risk exposure, risk experience and risk perception, in addition to systematic supply stewardship under normal conditions. Associations between adoption of protective behaviours and perception, experience and socio-demographic factors were evaluated through multinomial and multiple logistic regressions, while a multi-model inferential approach was employed with the predictors of health behaviour models. Findings suggest that floods are not considered likely to occur, nor were respondents worried about their occurrence, with 72.5% of respondents who reported previous flooding experience failing to adopt protective actions. Prior experience of well water contamination increased adoption of proactive attitudes when flooding occurred (+47%), with a failure to adopt healthy behaviours higher among rural non-agricultural residents (136%). Low levels of preparedness to deal with flood-related contamination risks are a side-effect of the general lack of appropriate well stewardship under normal conditions; just 10.1% of respondents adopted both water treatment and frequent testing, in concurrence with limited risk perception and poor awareness of the nexus between risk factors (e.g. floods, contamination sources) and groundwater quality. Perceived risk, personal norms and social norms were the best predictors of protective behaviour adoption and should be considered when developing future awareness campaigns.
This study aimed to estimate dynamic changes in seroprevalence of Toxoplasma gondii within the general population living in the northern part of the Republic of Serbia (Province of Vojvodina) during a 14-year period. The differences in prevalence of anti-toxoplasma antibodies were analyzed in correlation with age, gender, residential area (rural/urban) and meteorological factors. In this cohort retrospective study, 24,440 subjects between 1 and 88 years old were enrolled. To determine the presence of T. gondii-specific IgM and IgG antibodies in serum samples, commercially available ELISA kits were used (Euroimmun, Luebeck, Germany). During the study period, the overall T. gondii seroprevalence was 23.5%. The seroprevalence continuously decreased over time from 31.7% in 2008 to 20.4% in 2021 (0.81% per year, p < 0.001). Approximately 2% of patients had a serologic profile positive for both anti-Toxoplasma IgG and IgM antibodies. The seroprevalence was higher (28.87%) among men compared to women (24.28%), while urban residents (24.94%) had lower seroprevalence than the rural population (28.17%). A statistically significant negative correlation (r = -0.559) was found between serologic profile of patients positive for both T. gondii IgG and IgM antibodies and the annual mean air temperature. No significant association was observed between seropositivity to T. gondii infection and examined meteorological factors. These data could be useful to national and regional health authorities to create an optimal health policy to reduce rate of T. gondii infections.
This study analyzes how climate change affects the economy, society, and environment in South Korea. Then, the study explores the ways to strengthen capabilities that can alleviate climate change impacts. To find them, the study employs a system dynamics simulation method and builds a model with several sectors including the urban, rural, population, and social-environmental sectors. The study compares the size of climate change damages in rural and urban areas. The results with representative concentration path (RCP) 8.5 show that the size of climate change damage will continue to increase by 2050. The projected damages from the reduced industrial outputs in urban areas will be larger than that in rural areas. The results also show that the service sector will face stronger impacts from climate change than the manufacturing and agricultural sectors. However, the total size of damage in the rural areas will be bigger than that of the urban areas. It is because the size of reduced industrial outputs per capita in the rural areas is twice bigger than that of the urban areas. The climate change damage in the social and environmental sectors (including a loss of biodiversity and an increase in health costs) account for the largest part of the total damage. The study finally provides suggestions and policies that can improve the capabilities to reduce the climate change damages. One of the major suggestions of this study is that the increase in the climate change budget corresponding to the GDP growth can minimize the size of climate change impacts.
INTRODUCTION: This focused ethnographic study used qualitative, ethnographic, and participatory methods to explore determinants of maternal, infant, and young child nutrition (MIYCN) during the first 1,000 days of life as part of efforts to address the double burden of malnutrition in Solomon Islands. METHODS: An iterative study design was used to first explore and then confirm findings related to food and nutrition security and social and behavioral determinants of MIYCN in urban and rural settings. The first phase included in-depth interviews, household observations, free lists, and seasonal food availability calendar workshops while the second phase included focus group discussions, pile sorts, participatory community workshops, and repeated household observations. RESULTS AND DISCUSSION: We found that MIYCN is shaped by a complex interaction of factors at the macro- and micro-levels. At the macro-level, globalization of the food system, a shifting economy, and climate change are driving a shift toward a delocalized food system based on imported processed foods. This shift has contributed to a food environment that leaves Solomon Islanders vulnerable to food and nutrition insecurity, which we found to be the primary determinant of MIYCN in this context. At the micro-level, this food environment leads to household- and individual-level food decisions that often do not support adequate MIYCN. Multi-sectoral interventions that address the macro- and micro-level factors shaping this nutrition situation may help to improve MIYCN in Solomon Islands.
Groundwater is the major source of water for drinking and irrigation purposes in and around Hua County, Shaanxi Province, China. The main purposes of this research is to evaluate the groundwater quality in the rainy and dry seasons of Hua County and analyze the causes of seasonal differences and determine the areas with serious pollution. Groundwater quality was assessed in this study using entropy water quality index (EWQI) and some graphical approaches such as Gibbs and Piper diagrams. The contour maps of groundwater quality were drawn by Geographical Information System (GIS). According to the obtained results, the locations where groundwater quality was rated as excellent or good in both wet and dry seasons were mainly in the north and east of the research area. COD and NO3- are the parameters that have the most serious negative effect on water quality. The dominant factors influencing groundwater chemical evolution in the study area were rock weathering and dissolution, and the precipitation and evaporation during the wet and dry seasons do not cause significant changes in groundwater chemistry. Adults’ health risks results revealed that 27.69% and 52.31% of the groundwater samples exceeded the acceptable limit for non-carcinogenic risk in the wet and dry season, respectively, while for children the ratios are 30.16% and 47.62%, respectively. The contributive percentages of nitrate, fluoride and nitrate to the total risk are 61.29%, 28.71% and 10.00% in the wet season and 68.84%, 20.85% and 10.31% in the dry season. The risk is higher in the south than in the north of the study area, and is especially high in the southwest of the study area.
Climate change is one of the most severe threats to human survival and a significant factor influencing financial stability. Different from previous studies, this paper investigates the economic impact of climate change at the micro level based on data from China Meteorological Administration database, and China Household Finance Survey (CHFS) 2017 released in 2019. The empirical findings indicate that climate change contributes to the financial vulnerability of farmers’ households, which is confirmed following robustness tests. The mechanism analysis reveals that climate change has effects on rural households’ financial vulnerability via farmers’ health, credit availability, and agricultural output. Furthermore, the effect of climate change on farmers’ household financial vulnerability (HFV) is more pronounced in farmers with lower education levels. The changes in temperature and precipitation show different intensity effects in different areas, but all of them provide reasonable heterogeneity mechanisms. This paper’s policy value is demonstrated by the fact that it uncovers the effects of climate change on farmers’ HFV, information that may be useful for addressing climate change and rural financial stability.
Extreme temperature is strongly associated with human health, but few studies are available for the effects of extreme temperatures on respiratory disease (RD) in rural villages in Jiuquan, China over 2018-2019. In this study, we evaluate the effect of daily mean temperature on RD hospitalizations in suburban rural villages. A distribution lag non-linear model was constructed to analyze the relationship between the temperature and the daily risk of RD hospitalizations; and stratified analysis by sex and age group was performed. The effect of daily mean temperature on RD hospitalizations was non-linear and lagging. With a reference 25th percentile of temperature (-1.8 °C), exposure to extremely low temperature (-15.8 °C, 1st percentile), or moderate low temperature (-8.3 °C, 10th percentile) were associated with 1.396 (95% CI: 1.251, 1.558) and 1.216 (95% CI: 1.180, 1.253) increased risks of RD hospitalizations over lag 0-21 days. For RD morbidity, the effects of moderate high temperature (90th percentile of temperature, 22.5 °C) appeared at on the exposed day (lag 0), with the largest hot effect (RR 1.008, 95% CI 1.001, 1.020), while the effects of extremely high temperature (99th percentile of temperature, 27.0 °C) were insignificant. The effect of ambient temperature varied with gender and age. Both cold and high temperatures have more serious influence on males than females. In contrast, the elderly (age ≥ 65) seemed to be more sensitive in extremely low temperature (RR = 3.471; 95% CI, 2.183, 5.518; lag 0-21). The effect of moderate high temperature on the < 65 years group appeared for the first time at lag 0 (RR = 1.012; 95% CI, 1.001, 1.029). Both high temperature and low temperature increased the RD hospitalization risk; the harmful effect and duration of low temperature were greater than that of high temperature; the ≥ 65-year group and male were more sensitive to low temperature.
Recently, indoor thermal comfort has received more scholarly attention than ever due to the COVID-19 pandemic and global warming. However, most studies on indoor thermal comfort in China concentrated on urban buildings in the east and north. The indoor thermal comfort of rural dwellers in southwest China is insufficiently investigated. Hence, this study assesses residents’ indoor thermal comfort in a rural dwelling in Linshui, obtains the thermal neutral temperature of the rural area, and analyzes the thermal adaptation behavior of rural dwellers. The results reveal that the thermal neutral temperature of rural dwellers is 29.33°C (operative temperature), higher than that presented in previous studies based on the same climate region. Indoor thermal conditions in rural dwellings are relatively harsh, but various thermal adaptation behavior of rural dwellers significantly improve their ability to withstand the harsh conditions. When people live in an environment with a (relatively) constant climate parameter (e.g., humidity), their perception of that parameter seems compromised. Most rural dwellers are unwilling to use cooling equipment with high energy consumption. Therefore, more passive cooling measures are recommended in the design and renovation of rural dwellings.
BACKGROUND: Climate change exacerbates temperature-related mortality, but effects may vary by geographic characteristics. We hypothesize that higher greenness may mitigate temperature-related mortality, and that the effect may vary in different areas. OBJECTIVE: We examined how mortality among older adults in China was associated with temperature for 2000-2014, and how geolocation and residential greenness may modulate this association. METHODS: We used health data from the China Longitudinal Healthy Longevity Survey (CLHLS), and meteorological data from the Global Surface Summary of Day (GSOD) product by National Climate Data Center. We used a case-crossover study design with distributed nonlinear modeling to estimate mortality risks in relation to temperature, and stratified analysis by quartile of greenness. Greenness was estimated by Normalized Difference Vegetation Index (NDVI) from remote-sensed imagery. In addition to the national analysis, we also assessed three provinces (Jiangsu, Guangdong, and Liaoning) to examine differences by climatic regions. RESULTS: Extreme temperatures had a significant association with higher mortality, with regional differences. Findings from the national analysis suggest that individuals in the lowest quartile of greenness exposure had a ratio of relative risks (RRR) of 1.38 (0.79, 2.42) for mortality risk on extreme hot days at the 95th percentile compared to those at the 50th percentile, compared to those in the highest quartile, which means those residing in the lowest quartile of greenness had a 38% higher RR than those residing in the highest quartile of greenness, where RR refers to the risk of mortality on days at the 95th percentile of temperature compared to days at the 50th percentile. The RRR for the highest to lowest quartiles of greenness for mortality risk on extreme cold days at the 5th percentile compared to the 50th percentile was 2.08 (0.12, 36.2). In Jiangsu and Guangdong provinces, both the heat effects and cold effects were the lowest in the highest greenness quartile, and the results in Liaoning province were not statistically significant, indicating different regional effects of greenness on modulating the temperature-mortality relationship. DISCUSSION: We elucidated one pathway through which greenness benefits health by decreasing impact from extreme high temperatures. The effects of greenness differed by climatic regions. Policymakers should consider vegetation in the context of climate change and health.
BACKGROUND: Two cervical cancer screening (CCS) projects have been ongoing for years in Guangxi Zhuang autonomous region (Guangxi), and some Trichomonas vaginalis infection (TVI) cases have been found as an opportunistic finding. This study aimed to identify the high-risk population and expound the spatial epidemiological features of TVI in Guangxi. METHODS: This study was based on CCS from 2012 to 2019. Adjusted odds ratio (AOR), and spatial analyses were used to identify the high-risk subgroups, as well as to depict the spatial epidemiological feature and its relationship with meteorological factors. RESULTS: The infection rate of TVI was 0.38% in 873,880 samples. Significant association with a high risk of TVI was found in the following: females aged 40-49 years (aOR=4.464; 95% CI, 3.359-5.932; p<0.001), aged 50-59 years (aOR=3.169; 95% CI, 2.370-4.237; p<0.001), from urban (aOR=1.577; 95% CI, 1.471-1.691; p<0.001), from minority areas (aOR=1.183; 95% CI, 1.060-1.320; p=0.003), areas with GPD <41,500 CNY (aOR=1.191; 95% CI, 1.106-1.282; p<0.001), and inland areas (aOR=1.520; 95% CI, 1.339-1.726; p<0.001). Counties with higher infection rate were concentrated in northwest Guangxi's mountainous area (Z-score=3.9656, p<0.001), in the upper reaches of the Hongshui River and Yu River, and with a significant spatial autocorrelation (Moran's I=0.581, p=0.002). Spatial error model showed significantly negative regressions among temperature (B=-0.295, p=0.002), annual temperature range (B=-0.295, p=0.002), and TVI spatial distribution. CONCLUSION: The spatial clustering and disparity of TVI in northwest Guangxi warrant further study, and meteorological conditions may play an important role in TVI in northwest Guangxi.
BACKGROUND: Diurnal temperature range (DTR) has been widely applied in exploring its effect on cardiovascular disease (CVD). However, few studies have investigated the correlations between DTR and CVD in poor rural areas in China. This study aimed to examine the association between DTR and CVD in rural China. METHODS: A distributed lag nonlinear model was used to evaluate the relationship between DTR and CVD risk among farmers living in the city of Dingxi (Northwest China) in the period from January 1, 2016 to December 31, 2019. RESULTS: We observed nonlinear M-patterns between the relative risk (RR) of DTR (reference: median DTR, 12 °C) and CVD hospitalizations in all subgroups. The peak RR of CVD was noticed at DTR of 6 °C (total: 1.418; men: 1.546; women: 1.403; young: 1.778; old: 2.549) and 17 °C (total: 1.781; men: 1.937; women: 1.712; young: 2.233; old: 1.798). The adverse effect of DTR on CVD risk was more pronounced in females (RR 1.438) and elderly (RR 2.034) than males (RR 1.141) and younger adults (RR 1.852) at the extremely low (5th, 4 °C) DTR. The reverse was observed at the extremely high DTR (95th, 19 °C) (male: 1.267; females: 0.993; young: 1.586; old: 1.212). CONCLUSIONS: DTR is associated with CVD morbidity. This association was more pronounced in women and elderly, but men and younger peoples at extremely high DTR (19 °C). Future measures should take DTR into account to prevent CVD among susceptible populations.
BACKGROUND: A number of studies have explored the association between ambient temperature and preterm birth (PTB), but rarely among adolescent mothers. OBJECTIVES: To estimate the effects of ambient temperature on the risk of PTB and gestational age of newborns delivered by adolescent mothers in rural areas of Henan province. METHODS: We obtained 5394 medical records of adolescent mothers with results of pre-pregnancy physical examination and pregnancy outcomes from the National Free Preconception Health Examination Project (NFPHEP) in Henan province. Meteorological information was obtained from the China Meteorological Data Sharing Service System. Individual exposure levels were evaluated with an inverse distance-weighted model. A multiple logistic regression model and multiple linear regression model were used to estimate the effects of ambient temperature on the risk of PTB and gestational age, respectively. Stratified and interaction analyses were also performed. RESULTS: Of newborns in this study, 3.45% (186/5394) were PTB. Mean, maximum and minimum temperature during the entire pregnancy, especially the last 1-4 weeks of pregnancy, were positively associated with the risk of PTB and negatively associated with gestational age (P < 0.05). Nevertheless, a masking effect was observed that gestational age was positively associated with ambient temperature during the first trimester of pregnancy, due to the strongly inverse correlation between ambient temperature during the early and late stages of pregnancy. Stratified analyses showed that increasing temperature during the last 1-4 weeks of pregnancy increased the risk of PTB and decreased gestational age in newborns born in the cold season (P < 0.05). Furthermore, interaction analyses showed that birth season modified the effects of temperature on the gestational age (P(interaction) < 0.10). CONCLUSIONS: Elevated ambient temperature can decrease gestational age and increase the risk of PTB in offspring of adolescent mothers in rural areas. The birth season may modify the effects of temperature on gestational age.
Climate variability exerts severe threats to farmers and agriculture related activities and farmers. A growing number of studies have paid attention to mitigating carbon emission and adapting to climate change. Very few studies, however, have investigated farmers’ health risk management associated with climate change. This study, therefore, proposed a hybrid theoretical model to explore the roles of farmers’ climate risk perceptions and facilitating conditions in farmers’ health risk management, both theoretically and empirically. Using a sample of 1499 rice farmers in China, the partial least squares structural equation modeling (PLS-SEM) was adopted for empirical analysis, and the Multi-group Analysis (MGA) was employed to examine the heterogeneity among farmers’ socio-economic status. This study found that farmers’ perceived severity of climate change and perceived benefits of addressing climate change have significant impacts on their resources and technical facilitating conditions, in turn, those two types of facilitating conditions significantly impact their health risk management intentions. Subjective norms are also identified as predictors of resources facilitating condition and technical facilitating condition. In addition, farmers with lower income are more likely to suffer from health risks induced by climate change. They have fewer resources for resilience and maintaining health. Based on the findings identified above, strategies for coping with the negative impacts of climate change on farmers’ health were proposed for climate adaptation from the perspective of health risk management.
Climate disasters pose a risk to residents’ well-being globally. However, information about the impact of climate disasters among urban and rural residents remains lacking, especially in Indonesia. This study aims to fill the gap by investigating the impact of climate disaster on subjective well-being based on urban and rural typology model. The data were cross-sectional, involving 7110 Indonesian residents who had experienced climate disasters, 3813 from urban areas and 3297 from rural areas. An ordered probit model was employed to estimate the impact of climate disasters on subjective well-being (i.e., happiness and life satisfaction). In general, the empirical results show that climate disasters do not significantly affect the happiness of Indonesian residents, but they significantly and negatively impact their life satisfaction. Further analysis reveals that climate disasters impact urban and rural residents differently. The subjective well-being of rural residents is more severely affected than those living in urban areas. Further estimation also indicated that climate disaster significantly reduces residents’ subjective well-being at the lowest income level for both rural and urban residents. Our finding confirms that rural residents remain the most vulnerable to the impacts of climate change.
As climate change accelerates, adaptive social protection programmes are becoming increasingly more popular than conventional social assistance programmes, since they are seen to enhance people’s resilience and well-being outcomes. Despite this upsurge, little is known about the impacts of adaptive programmes on resilience and well-being outcomes as compared to conventional programmes. This paper examines the economic functions that both types of social protection programmes offer through empirical studies in two climate-vulnerable zones in Bangladesh. By operationalising a simplified analytical framework to comprehend subjective resilience, the qualitative data reveal that the adaptive programme is more effective in enhancing beneficiaries’ perceived resilience to climate risks. Regrettably, neither programme is found to contribute much significantly in terms of enabling beneficiaries to achieve the desired well-being outcomes that one might expect to see. The paper offers rich insights into the design components of the programmes, affording an on-the-ground understanding of their implications for resilience and well-being.
Support for rural livelihoods to adapt to climate change is a top policy priority around the world. We advance the concept of ‘self-organized adaptation’ to analyze how long-term pathways of transformation come about as the organic outcome of farmers’ incremental and continuous responses to climate and other challenges. Through an analysis of four decades’ responses to changing climate conditions in an agricultural system of the Indian Himalayas, we show how several key policy interventions-institutional support for the dissemination of agricultural knowledge, investments in infrastructure, and strengthening of market linkages-have produced favorable conditions for successful, long-term self-organized adaptation to climate change. This has led to the transformation of an agricultural system specialized in apple production to one with a great diversity of fruit, vegetable, and food grain crops. We find that farmers growing these crops cluster into five distinct agricultural portfolios that reflect the constraints and opportunities that different farmers face, and which are patterned by interaction with rural institutions and household social networks. We highlight the role of distributed decision-making in shaping broader trajectories of systemic transformation, and we argue for the need to move beyond pre-defined climate interventions toward the identification of policy mechanisms that can support more effective self-organization over the long-term.
This study develops and assesses the application of a livelihood vulnerability index (LVI), LVI-IPCC and livelihood effect index for the natural and agricultural resources in Northwestern Pakistan. By using structured questionnaire, primary data were collected from the targeted households in the study region. Data on socio-demographics, water security, health, social networks and climate variability were collected from the targeted respondents in this study area, and combined into indices. The IPCC framework was utilized that characterizes vulnerability into exposure, sensitivity and its adaptive capacity. Findings of our study showed that tehsil Shabqadar was more vulnerable among three studied tehsils particularly in natural disasters, health, water and land holding status. Tehsil Tangi was the second high vulnerable tehsil followed by tehsil Charsadda relative to other LVI components with the exclusion of livelihood strategies and financial constraints. Findings of this study provide a better understanding of the social and behavioral trends as well as an integrated and holistic view of the agriculture, climate change and livelihoods process in assessing the vulnerability. The findings and this pragmatic approach will be helpful in intending specific strategies and policy effectiveness to lessen susceptibility of households to climatic variations.
OBJECTIVES: In this paper, we explore the exposure to risk and experiences of people with disability and carers during a flooding event and the subsequent mental health impacts. DESIGN: A cross-sectional survey between September and November 2017. Binary logistic regression models were used to investigate associations between the mental health of people with disability and carers and their exposure to the flood. Inductive content analysis was used to analyse qualitative data. SETTING: Flood-affected communities in the rural area of Northern Rivers, New South Wales, Australia, 6 months after river flooding in 2017. PARTICIPANTS: People over 16 years and a resident in the Northern Rivers at the time of the flood were invited to participate. Using a purposive, snowballing sampling technique participants were drawn from a wide range of socioeconomic backgrounds and had experienced different degrees of flood exposure. RESULTS: Of 2252 respondents, there were 164 people with disability and 91 carers. Both groups had increased odds of having their home flooded (people with a disability: OR 2.41 95% CI 1.71 to 3.39; carers: OR 1.76 95% CI 1.10 to 2.84). On evacuation, respondents reported inaccessible, conflicting and confusing information regarding flood warnings. Essential services such as healthcare and social services were disrupted (people with a disability: OR 3.98 95% CI 2.82 to 5.60; carers 2.17 95% CI 1.33 to 3.54) and access to safe and mould free housing post flood event was limited. After taking sociodemographic factors into account, respondents with a disability and carers had greater odds of probable post-traumatic stress disorder compared with other respondents (people with a disability: 3.32 95% CI 2.22 to 4.96; carers: 1.87 95% CI 1.10 to 3.19). CONCLUSION: Our findings show the profound impact and systemic neglect experienced by people with disability and carers during and after the 2017 flood event in the Northern Rivers. As people with disability will take longer to recover, they will require longer-term tailored supports and purposeful inclusion in flood preparedness and recovery efforts.
Flood events can be dramatic and traumatic. People exposed to floods are liable to suffer from a variety of adverse mental health outcomes. The adverse effects of stressors during the recovery process (secondary stressors) can sometimes be just as severe as the initial trauma. Six months after extensive flooding in rural Australia, a survey of 2530 locals was conducted focusing on their flood experiences and mental health status. This mixed methods study analysed (a) quantitative data from 521 respondents (21% of total survey respondents) who had insurance coverage and whose household was inundated, 96 (18%) of whom reported an insurance dispute or denial; and (b) qualitative data on insurance-related topics in the survey’s open comments sections. The mental health outcomes were all significantly associated with the degree of flood inundation. The association was strong for probable PTSD and ongoing distress (Adjusted Odds Ratios (AORs) with 95% confidence intervals 2.67 (1.8-4.0) and 2.30 (1.6-3.3), respectively). The associations were less strong but still significant for anxiety and depression (AORs 1.79 (1.2-2.7) and 1.84 (1.2-2.9)). The secondary stressor of insurance dispute had stronger associations with ongoing distress and depression than the initial flood exposure (AORs 2.43 (1.5-3.9) and 2.34 (1.4-3.9), respectively). Insurance was frequently mentioned in the open comment sections of the survey. Most comments (78% of comments from all survey respondents) were negative, with common adverse trends including dispute/denial, large premium increases after a claim, inconsistencies in companies’ responses and delayed assessments preventing timely remediation.
Individual and meteorological factors are associated with cognitive function in older adults. However, how these two factors interact with each other to affect cognitive function in older adults is still unclear. We used mixed effects models to assess the association of individual and meteorological factors with cognitive function among older adults. Individual data in this study were from the database of China Family Panel Studies. A total of 3448 older adults from 25 provinces were included in our analysis. Cognitive functions were measured using a memory test and a logical sequence test. We used the meteorological data in the daily climate dataset of China’s surface international exchange stations, and two meteorological factors (i.e., average temperature and relative humidity) were assessed. The empty model showed significant differences in the cognitive scores of the older adults across different provinces. The results showed a main impact of residence (i.e., urban or rural) and a significant humidity-residence interaction on memory performance in older adults. Specifically, the negative association between humidity and memory performance was more pronounced in urban areas. This study suggested that meteorological factors may, in concert with individual factors, be associated with differences in memory function in older adults.
INTRODUCTION: It is well-established that heatwaves increase demand for emergency transport in metropolitan areas; however, little is known about the impact of heat events on demand for prehospital retrieval services in rural and remote areas, or how heatwaves are defined in this context. INCLUSION CRITERIA: Papers were eligible for inclusion if they reported on the impact of a heat event on the activity of a prehospital and retrieval service in a rural or remote area. METHODS: A search of PubMed, Cochrane, Science Direct, CINAHL, and Google Scholar databases was undertaken on August 18, 2020 using search terms related to emergency medical transport, extreme heat, and rural or remote. Data relevant to the impact of heat on retrieval service activity were extracted, as well as definitions of extreme heat. RESULTS: Two papers were identified, both from Australia. Both found that heat events increased the number of road ambulance call-outs. Both studies used the Excess Heat Factor (EHF) to define heatwave periods of interest. CONCLUSIONS: This review found almost no primary literature on demand for prehospital retrieval services in rural and remote areas, and no data specifically related to aeromedical transport. The research did recognize the disproportionate impact of heat-related increase in service demand on Australian rural and regional health services. With the effects of climate change already being felt, there is an urgent need for more research and action in this area.
The frequency and intensity of high-temperature events continue to increase, resulting in a surge of pathogenicity and mortality. People with low levels of risk perception and adaptability, such as the elderly, suffer more from high temperatures. Effective intervention measures may lead to reduced levels of high temperature-related risk. The purpose of this study was to compare changes in temperature exposure, risk perception and coping behaviors under different intervention methods. Herein we conducted three different interventions including education, subsidies for electricity and uses of spray-cooling appliances as well as collected data about temperature exposure, risk perception, and coping behaviors. Before and after the experiment, we evaluated the intervention effectiveness with a number of variables related to alerting human responses under high temperatures. We conducted nonparametric tests for paired samples and generalized linear mixed effect models. Compared with subsidy support and outdoor spray-cooling methods, education is more effective as it leads to lower levels of temperature exposure, higher levels of risk perception, and more behavioral responses. The subsidy support intervention is useful in increasing risk perception and promoting home cooling practices as well. In comparison, spray cooling barely contributes to the reduction of personal temperature exposure. The encouragement of risk-related education and continued government subsidy may prevent elderly individuals from experiencing high-temperature exposure.
Rising temperatures are causing distress across the world, and for those most vulnerable, it is a silent killer. Information about indoor air temperature in residential dwellings is of interest for a range of reasons, such as health, thermal comfort and coping practices. However, there have been only few studies that measure indoor heat exposure, and contrast these to outdoor temperatures in rural-urban areas, of which none are in South Asia. We aim to close this knowledge gap with our indoor and outdoor heat measurement dataset, covering five low-income sites in South Asia. Two sites are in rural areas (Maharashtra, India), while three sites focus on urban areas (Dhaka, Delhi and Faisalabad). Data are based on 206 indoor temperature data loggers and complemented by data from five outdoor automated weather stations. The data-set can be used to examine temperature and humidity variation in low-socioeconomic status households in rural and urban areas and to better understand factors aggravating heat stress. This is important to plan and implement actions for combating heat stress.
BACKGROUND: Although urbanization is often an important topic in climate change studies, the complex effect of urbanization on heat vulnerability in urban and rural areas has rarely been studied. We investigated the disparate effects of urbanization on heat vulnerability in urban and rural areas, using nationwide data. METHODS: We collected daily weather data for all 229 administrative districts in South Korea (2011-17). Population density was applied as an urbanization indicator. We calculated the heat-mortality risk using a distributed lag nonlinear model and analysed the relationship with population density. We also examined district characteristics that can be related to the spatial heterogeneity in heat-mortality risk. RESULTS: We found a U-shaped association between population density and heat-mortality risk, with the highest risk for rural populations; in urban areas, risk increases with increasing population density. Higher heat-mortality risk was associated with a lower number of hospital beds per person and higher percentage of people requiring recuperation. The association between hospital beds and heat-mortality risk was prominent in high-density urban areas, whereas the association between the percentage of people requiring recuperation and heat-mortality risk was pronounced in rural areas. CONCLUSIONS: Our findings indicate that the association between population density and heat-mortality risk is different in urban and rural areas, and that district characteristics related to heat-mortality risk also differ by urbanicity. These results can contribute to understanding the complex role of urbanization on heat vulnerability and can provide evidence to policy makers for prioritizing resources.
Cardiovascular disease (CVD) is a leading threat to global public health. Although associations between temperature and CVD hospitalization have been suggested for developed countries, limited evidence is available for developing countries or rural residents. Moreover, the effect of apparent temperature (AT) on the spectrum of cause-specific CVDs remains unknown. Based on 2,024,147 CVD hospitalizations for rural residents from eight regions in Fujian Province, China, during 2010-2016, a quasi-Poisson regression with distributed lag non-linear model was fitted to estimate the AT effect on daily CVD hospitalization for each region, and then pooled in a meta-regression that included regional indicators related to rural residents. Stratified analyses were performed according to the cause of hospitalization, sex and age groups. Finally, we calculated the fraction of CVD hospitalizations attributable to AT, as a reflection of the burden associated with AT. The heat effect appeared at lag 0-1 days, with 19% (95% CI, 11-26%) increased risk of CVD hospitalization, which was worse for ischemic heart disease, heart failure, arrhythmias and ischemic stroke. The decreased AT was associated with increase of hemorrhagic stroke at lag 0-28 days. People aged 65 and above suffered more from the heat effect on cardiovascular and cerebrovascular diseases. Regions with a lower gross value of agricultural production, rural residents’ per capita net income, number of air conditioners and water heaters were more susceptible. A large number of hospitalizations were attributable to heat for most subcategories. High AT level increased CVD hospitalization, and the subcategories had different susceptibilities. The effects were modified by individual and regional characteristics. These findings have important implications for the development of targeted interventions and for hospital service planning.
The purpose of this work was to assess population vulnerability to heat-related health risks and its relationship with urbanization levels to provide essential information for the future development and policy-making for climate change adaptation. We constructed a heat vulnerability index (HVI), quantified the population heat vulnerability in each county across China by a principal component analysis (PCA) of multiple factors, and assessed urbanization levels in each county using multisource data. Then, the HVI was validated using the heat-attributable fraction (heat-AF) of nonaccidental mortality based on death monitoring data and meteorological data from 95 counties across China. The results showed that our HVI was significantly positively associated with the heat AF of nonaccidental mortality. A negative correlation was observed between the urbanization level and the HVI. The HVI was generally higher in less urbanized western China and lower in the more urbanized eastern regions. The baseline mortality occupies the top position in the importance ranking of the heat-vulnerability indicators at all three urbanization levels, but the other indicators, including the aging rate, agricultural population rate, education, ethnic structure, economic status, air conditioner ownership rate, and number of hospitals, ranked differently among different urbanization levels. This finding indicates that to reduce population heat vulnerability, the most important approach is to improve the health status of the whole population and reduce baseline mortality; additionally, regional-specific measures and emphasis should be adjusted reasonably along with the process of urbanization according to the characteristics and key factors of local heat vulnerability.
With the increases in hot weather frequency and intensity induced by observed and predicted climate change, heat exposure is an evolving challenge. We estimated a fixed effect econometric model to data on 5,404 individuals drawn from the China Health and Retirement Longitudinal Study database. These observations were used to examine the effect of heat stress on cognitive performance for those above 40 years of age who are often household decision-makers. We found today’s heat stress decreases performance on verbal and math test scores, and that cumulative heat exposure over the last 3 days adversely affects verbal test scores. We also found that middle-aged women and people in rural areas exhibit substantial heat stress-induced reductions on cognitive test scores. This finding implies that continuing climate change may well diminish decision-making capacity and effectiveness.
The warming trend over recent decades has already contributed to the increased prevalence of heat-vulnerable chronic diseases in many regions of the world. However, understanding the relationship between heat-vulnerable chronic diseases and heatwaves remains incomplete due to the complexity of such a relationship mingling with human society, urban and natural environments. Our study extends the Social Ecological Theory by constructing a tri-environmental conceptual framework (i.e., across social, built, and natural environments) and contributes to the first nationwide study of the relationship between heat-vulnerable chronic diseases and heatwaves in Australia. We utilize the random forest regression model to explore the importance of heatwaves and 48 tri-environmental variables that contribute to the prevalence of six types of heat-vulnerable diseases. We further apply the local interpretable model-agnostic explanations and the accumulated local effects analysis to interpret how the heat-disease nexus is mediated through tri-environments and varied across urban and rural space. The overall effect of heatwaves on diseases varies across disease types and geographical contexts (latitudes; inland versus coast). The local heat-disease nexus follows a J-shape function-becoming sharply positive after a certain threshold of heatwaves-reflecting that people with the onset of different diseases have various sensitivity and tolerance to heatwaves. However, such effects are relatively marginal compared to tri-environmental variables. We propose a number of policy implications on reducing urban-rural disparity in Healthcare and service distribution, delineating areas, and identifying the variations of sensitivity to heatwaves across urban/rural space and disease types. Our conceptual framework can be further applied to examine the relationship between other environmental problems and health outcomes.
Heat kills more Australians than any other natural disaster. Previous Australian research has identified increases in Emergency Department presentations in capital cities; however, little research has examined the effects of heat in rural/regional locations. This retrospective cohort study aimed to determine if Emergency Department (ED) presentations across the south-west region of Victoria, Australia, increased on high-heat days (1 February 2017 to 31 January 2020) using the Rural Acute Hospital Data Register (RAHDaR). The study also explored differences in presentations between farming towns and non-farming towns. High-heat days were defined as days over the 95th temperature percentile. International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, Australian Modification (ICD-10-AM) codes associated with heat-related illness were identified from previous studies. As the region has a large agricultural sector, a framework was developed to identify towns estimated to have 70% or more of the population involved in farming. Overall, there were 61,631 presentations from individuals residing in the nine Local Government Areas. Of these presentations, 3064 (5.0%) were on days of high-heat, and 58,567 (95.0%) were of days of non-high-heat. Unlike previous metropolitan studies, ED presentations in rural south-west Victoria decrease on high-heat days. This decrease was more prominent in the farming cohort; a potential explanation for this may be behavioural adaption.
INTRODUCTION: The SARS-CoV-2 (COVID-19) pandemic has caused unprecedented social and economic disruption, accompanied by the enactment of a multitude of public health measures to restrain disease transmission. These public health and social measures have had a considerable impact on lifestyle and mental wellbeing, which has been well studied with metropolitan populations. However, limited literature concerning such effects on a selectively rural population is presently available. Additionally, the use of a standardised scoring system for lifestyle may be valuable for an overall assessment of lifestyle that may be incorporated into clinical practice. METHODS: This study examined the associations between psychological distress and changes in SNAPS health behaviours (smoking, nutrition, alcohol, physical activity, sleep) since the onset of COVID-19 in Australia. A cross-sectional anonymous survey was distributed online to adults in the Western New South Wales Primary Health Network in August 2020 and included measures of psychological distress, income, disposition and lifestyle factors during the pandemic as well as changes to lifestyle due to COVID-19. A novel Global Lifestyle Score (GLS) was generated as a holistic assessment of lifestyle across multiple domains. RESULTS: The survey was completed by 304 individuals (modal age group 45-54 years, 86.8% female). High distress on the Kessler-5 scale was present in over one-third of participants (n=95, 33.7%). Detrimental change was reported for sleep (22.7%), nutrition (14.5%), alcohol (16.7%), physical exercise (34.0%) and smoking (24.7%) since the onset of the pandemic. Changes in sleep, nutrition, physical activity and smoking were associated with distress. Participants with a poor lifestyle (GLS) during the pandemic were significantly more distressed. Perceived COVID-19 impact was associated with high distress, drought impact and loss of income. Participants who reported negative impact from both COVID-19 and drought were significantly more distressed than those reporting a negative impact from drought alone or neither event. CONCLUSION: High rates of distress among rural Australians during the COVID-19 pandemic was linked to low GLS, worsening lifestyles and loss of income. Healthy lifestyle strategies should be considered by health professionals for the management of crisis-related distress. Further research may explore the impact of COVID-19 on a larger study population with a greater proportion of male participants and to examine the effect of modifying lifestyle factors in reducing distress in the context of a stressor such as this pandemic.
OBJECTIVE: To identify the modifiable psychological and behavioural coping strategies associated with low levels of psychological distress, independent of more stable personality and demographic factors, in a sample of farmers who reported being exposed to a recent stressful event during an extended drought. DESIGN/SETTING/PARTICIPANTS: Three hundred and nine South Australian, drought-affected grain, sheep and/or cattle farmers completed printed or online questionnaires. Only those who reported experiencing a stressful event in the past month that they rated ≥7 on a scale ranging from 1 (not stressful at all) to 10 (extremely stressful) were included in the analyses (n = 175, 65.06%). Participants ranged in age from 24 to 85 years and 40% were female. MAIN OUTCOME MEASURES: Psychological distress was measured using the Kessler Psychological Distress Scale, and coping strategies were measured using a situational version of the COPE inventory. Five personality factors (extraversion, neuroticism, openness, conscientiousness and agreeableness) were assessed using the Quickscales-R. RESULTS: In the final multivariable model, distress was elevated among individuals reporting higher neuroticism and behavioural disengagement, and lower in individuals reporting greater use of acceptance. These 3 variables explained 44% of the variance in distress. CONCLUSION: Farmers recently exposed to a significant stressor, who used acceptance as a coping strategy, did not engage in behavioural disengagement and scored low on neuroticism, were least likely to experience distress. Given the stability of personality factors, interventions that foster farmers’ use of acceptance and prevent behavioural disengagement as coping strategies might assist them with the management of future stressors, particularly in times of drought.
Drought is a global threat to public health. Increasingly, the impact of drought on mental health and wellbeing is being recognized. This paper investigates the relationship between drought and well-being to determine which drought indices most effectively capture well-being outcomes. A thorough understanding of the relationship between drought and well-being must consider the (i) three aspects of drought (duration, frequency, and magnitude); (ii) different types of drought (meteorological, agricultural, etc.); and (iii) the individual context of specific locations, communities, and sectors. For this reason, we used a variety of drought types, drought indices, and time windows to identify the thresholds for wet and dry epochs that enhance and suppress impacts to well-being. Four postcodes in New South Wales (NSW), Australia, are used as case studies in the analysis to highlight the spatial variability in the relationship between drought and well-being. The results demonstrate that the relationship between drought indices and well-being outcomes differs temporally, spatially, and according to drought type. This paper objectively tests the relationship between commonly used drought indices and wellbeing outcomes to establish whether current methods of quantifying drought effectively capture well-being outcomes. For funding, community programs, and interventions to result in successful adaptation, it is essential to critically choose which drought index, time window, and well-being outcome to use in empirical studies. The uncertainties associated with these relationships must be accounted for, and it must also be realized that results will differ on the basis of these decisions.
BACKGROUND: Despite concerns regarding increasingly frequent and intense heat waves due to global warming, there is still a lack of information on the effects of extremely high temperatures on the adult abundance of mosquito species that are known to transmit vector-borne diseases. This study aimed to evaluate the effects of extremely high temperatures on the abundance of mosquitoes by analyzing time series data for temperature and mosquito abundance in Incheon Metropolitan City (IMC), Republic of Korea, for the period from 2015 to 2020. METHODS: A generalized linear model with Poisson distribution and overdispersion was used to model the nonlinear association between temperature and mosquito count for the whole study area and for its constituent urban and rural regions. The association parameters were pooled using multivariate meta-regression. The temperature-mosquito abundance curve was estimated from the pooled estimates, and the ambient temperature at which mosquito populations reached maximum abundance (TMA) was estimated using a Monte Carlo simulation method. To quantify the effect of extremely high temperatures on mosquito abundance, we estimated the mosquito abundance ratio (AR) at the 99th temperature percentile (AR(99th)) against the TMA. RESULTS: Culex pipiens was the most common mosquito species (51.7%) in the urban region of the IMC, while mosquitoes of the genus Aedes (Ochlerotatus) were the most common in the rural region (47.8%). Mosquito abundance reached a maximum at 23.5 °C for Cx. pipiens and 26.4 °C for Aedes vexans. Exposure to extremely high temperatures reduced the abundance of Cx. pipiens mosquitoes {AR(99th) 0.34 [95% confidence interval (CI) 0.21-0.54]} to a greater extent than that of Anopheles spp. [AR(99th) 0.64 (95% CI 0.40-1.03)]. When stratified by region, Ae. vexans and Ochlerotatus koreicus mosquitoes showed higher TMA and a smaller reduction in abundance at extreme heat in urban Incheon than in Ganghwa, suggesting that urban mosquitoes can thrive at extremely high temperatures as they adapt to urban thermal environments. CONCLUSIONS: We confirmed that the temperature-related abundance of the adult mosquitoes was species and location specific. Tailoring measures for mosquito prevention and control according to mosquito species and anticipated extreme temperature conditions would help to improve the effectiveness of mosquito-borne disease control programs.
This study examines the impact of air pollution from straw burning on human cognitive health in China by linking household health surveys with PM2.5 emissions derived from remote sensing data on fire activity. The identification strategy leverages the spatial dispersion of air pollutants due to exogenous wind directions. The results indicate that PM2.5 emissions from upwind straw burning have a negative impact on cognitive functions of respondents aged 55 and above, but PM2.5 emissions from downwind fires do not. The impact is transitory and caused by contemporaneous PM2.5 emissions on the day of cognitive testing. Our findings demonstrate a link from air pollution to cognitive declines and suggest that through this link, climate change could result in additional health costs by increasing the risk of wildfires.
Hypertension (HTN) was a major preventable cause of cardiovascular disease (CVD), contributing to a huge disease burden. Ambient temperature, air pollution and green space were important influencing factors of HTN, and few studies have assessed the effects and interactions of ambient temperature, air pollution and green space on HTN in rural areas. In this study, we selected 8400 individuals randomly in rural areas of Anhui Province by a multi-stage stratified cluster sampling. A total of 8383 individuals were included in the final analysis. We collected particulate pollutants and meteorological data from the local air quality monitoring stations and National Center for Meteorological Science from January 1 to December 31, 2020, respectively. The normalized differential vegetation index (NDVI) of Anhui Province in 2020 was produced and processed by remote sensing inversion on the basis of medium resolution satellite images. The average annual mean exposure concentrations of air pollution, meteorological factors, and NDVI were calculated for each individual based on the geocoded residential address. HTN was defined according the Chinese Guidelines for Prevention and Treatment of HTN. The effects and interactions of ambient temperature, air pollution and green space on HTN were evaluated by generalized linear model and interaction model, respectively. In this study, the prevalence of HTN was 24.14%. The adjusted odd ratio of HTN for each 1 μg/m(3) increasing in PM(2.5) and PM(10), 1 °C of ambient temperature, and 0.1 of NDVI were:1.276 (1.013, 1.043), 1.012 (1.006, 1.018), 0.862 (0.862, 0.981) and 0.669 (0.611, 0.733), respectively. The results showed that air pollutants were positively correlated with HTN, while ambient temperature and green space were negatively correlated with HTN. Meanwhile, the negative associations of green space on HTN could decrease with the increasing concentrations of air pollution, but increase with the rising of ambient temperature.
Severe volatile organic compound (VOC) pollution has become an urgent problem during the heating season in the North China Plain (NCP), as exposure to hazardous VOCs can lead to chronic or acute diseases. A campaign with online VOC measurements was conducted at a rural site in Wangdu, NCP during the 2018 heating season to characterize the compositions and associated sources of VOCs and to assess their potential health risks. The total concentration of VOCs with 94 identified species was 77.21 +/- 54.39 ppb. Seven source factors were identified by non-negative matrix factorization, including coal combustion (36.1%), LPG usage (21.1%), solvent usage (13.9%), biomass burning and secondary formation (142%), background (7.0%), industrial emissions (4.5%), and vehicle emissions (3.3%). The point estimate approach and Monte Carlo simulation were used to estimate the carcinogenic and non-carcinogenic risks of harzadous VOCs. The results showed that the cumulative health risk of VOCs was above the safety level. Acrolein, 1.2-dichlorprothane, 12-dichloropropane, chloroform, 1,3-butadiene, and benzene were identified as the key hazardous VOCs in Wangdu. Benzene had the highest average carcinogenic risk. Solvent usage and secondary formation were the dominant sources of adverse health effects. During the Spring Festival, most sources were sharply reduced; and VOC concentration declined by 49%. However, coal and biomass consumptions remained relatively large, probably due to heating demand. This study provides important references for the control strategies of VOCs during the heating season in heavily polluted rural areas in the NCP. (C) 2021 Elsevier B.V. All rights reserved.
Climate change is expected to have severe consequences for the world, some of which are already being felt. According to projections, in some regions, droughts will be more frequent and intense in the 21st century. This calls for purposeful interventions by governments to mitigate the impacts. Drought-affected communities are more vulnerable to famine. The effects of drought are felt in people’s education levels, nutrition, health, sanitation, and women and the safety of children in these communities. The impact of drought can be seen in the livelihoods of people affected by it. Against this backdrop, there is the need to document the effects of drought on women and children’s health in the affected communities. Such a study calls for a systematic approach. This study explores the various dimensions of the effects of droughts. It accessed electronic databases, including Google Scholar, Scopus, Pub-Med, JSTOR to identify a substantial number of studies using key words and expressions. To begin with, the word drought was kept constant in all combinations of keywords and phrases. The search was then refined by using the word drought with keywords, such as livelihood, vulnerability, sustainable development, adaption and mitigation, migration, health impact, and risk management to search the required articles. Only studies conducted in the period 2000 – 2019 were considered for this review. The review’s findings show that due to a lack of water during a drought, the burden of work on women and children increased considerably. Most faced severe health issues like malnutrition and anemia. The livelihoods of women were also affected because of which they were forced to adopt various strategies to overcome the problems posed by droughts. Droughts occur every year in different parts of India. Actions are required to mitigate the effects of drought, including the provision of drinking water, food, aid and relief aid to distressed farmers, employment support, support for changes in livelihoods, water security, and drought-proofing. State policies and actions must give particular attention to women and children because they are the most vulnerable. Employment-generation actions should also include youth by providing appropriate training for developing appropriate skills.
Air pollution disproportionately affects marginalized populations of lower socioeconomic status. There is little literature on how socioeconomic status affects the risk of exposure to air pollution and associated health outcomes, particularly for children’s health. The objective of this article was to review the existing literature on air pollution and children’s health and discern how socioeconomic status affects this association. The concept of environmental injustice recognizes how underserved communities often suffer from higher air pollution concentrations in addition to other underlying risk factors for impaired health. This exposure then exerts larger effects on their health than it does in the average population, affecting the whole body, including the lungs and the brain. Children, whose organs and mind are still developing and who do not have the means of protecting themselves or creating change, are the most vulnerable to the detrimental effects of air pollution and environmental injustice. The adverse health effects of air pollution and environmental injustice can harm children well into adulthood and may even have transgenerational effects. There is an urgent need for action in order to ensure the health and safety of future generations, as social disparities are continuously increasing, due to social discrimination and climate change.
Global atmospheric warming leads to climate change that results in a cascade of events affecting human mortality directly and indirectly. The factors that influence climate change-related mortality within the peer-reviewed literature were examined using Whittemore and Knafl’s framework for an integrative review. Ninety-eight articles were included in the review from three databases-PubMed, Web of Science, and Scopus-with literature filtered by date, country, and keywords. Articles included in the review address human mortality related to climate change. The review yielded two broad themes in the literature that addressed the factors that influence climate change-related mortality. The broad themes are environmental changes, and social and demographic factors. The meteorological impacts of climate change yield a complex cascade of environmental and weather events that affect ambient temperatures, air quality, drought, wildfires, precipitation, and vector-, food-, and water-borne pathogens. The identified social and demographic factors were related to the social determinants of health. The environmental changes from climate change amplify the existing health determinants that influence mortality within the United States. Mortality data, national weather and natural disaster data, electronic medical records, and health care provider use of International Classification of Disease (ICD) 10 codes must be linked to identify climate change events to capture the full extent of climate change upon population health.
While the global response to climate change has been scant and uncoordinated, especially with regard to providing adequate water resources for the most improvised, water scarcity has become an increasingly neglected phenomenon in rural areas. The long-term imbalance resulting from the water demand exceeding the available water resources has been identified in the literature, with the majority of rural dwellers negatively affected by water scarcity. Using a scoping review technique to explore the nexus between climate change and water-security realities in view of coping and planning mechanisms in the South African context, 246,443 articles published between 2010 and 2019 were collated and reviewed in a bid to ascertain the state of knowledge, study, and focus on the coping and planning strategies adopted by rural communities in the face of climate change-induced water insecurity in South Africa. The identified gaps in the literature indicate the omission of spatial planning principles in responding to water-scarcity issues. This review concludes that, although policy research that links the impacts of climate change in rural communities exists, stronger focus on the quality and quantity issues in the implementation of water-security matters is critical. Hence, the impact of climate change on climate-sensitive supplies available in these rural areas as well as the consequent coping and planning alternatives for rural communities require a more robust policy and spatial research. Thus, as rural communities deal with the impacts of climate change, implementation cycles of water-security measures need to be ensured along with further integration of spatial planning issues in rural areas. Hence, a deeper engagement with spatial planning issues is needed, in order to further mitigate and address the impacts of climate change on water security in rural areas.
Climate variability is heavily impacting human health all around the globe, in particular, on residents of developing countries. Impacts on surface water and groundwater resources and water-related illnesses are increasing, especially under changing climate scenarios such as diversity in rainfall patterns, increasing temperature, flash floods, severe droughts, heatwaves and heavy precipitation. Emerging water-related diseases such as dengue fever and chikungunya are reappearing and impacting on the life of the deprived; as such, the provision of safe water and health care is in great demand in developing countries to combat the spread of infectious diseases. Government, academia and private water bodies are conducting water quality surveys and providing health care facilities, but there is still a need to improve the present strategies concerning water treatment and management, as well as governance. In this review paper, climate change pattern and risks associated with water-related diseases in developing countries, with particular focus on Pakistan, and novel methods for controlling both waterborne and water-related diseases are discussed. This study is important for public health care, particularly in developing countries, for policy makers, and researchers working in the area of climate change, water quality and risk assessment.
Objectives: Mental and social health is among the notable domains affected by natural disasters, with nearly one-quarter of the people living in an area affected by natural disasters expressing the symptoms of depression, anxiety, post-traumatic stress disorder, bipolar disorder, or schizophrenia. Bringing harmony among these affected individuals is an important clinical priority. The effect of yoga, which is reported to reduce mental disorders to a great extent in many conditions, has not been studied in the setting of natural disaster recovery. Methods: Thirty-two participants [Mean age 37.8(SD +/- 8.9)] from a flood-affected state of India exhibiting mental and social impacts from the natural disaster were enrolled for 15 days of yoga interventions after obtaining written consent. Breathing exercises and guided relaxation techniques were provided as intervention after obtaining a self-rated visual analog scale (VAS) for fear, sadness, anxiety, and lack of sleep. Results: All participants completed the study. Statistically significant changes were observed (P < 0.05) in all the VAS dependent scale variables such as fear, sadness, anxiety, and lack of sleep. No adverse events were reported. Conclusion: Fifteen days of yoga interventions in victims of the flood-affected region might offer resilience to the people affected by natural disasters. Results of this study are encouraging and yoga can be introduced for addressing mental health issues in such emergencies and can be a valuable tool. However, more studies with robust designs and focused tools to determine the effects are warranted. (C) 2021 Elsevier Ltd. All rights reserved.
Changing mobility patterns combined with changes in the climate present challenges and opportunities for global health, requiring effective, relevant, and humane policy responses. This study used data from a systematic literature review that examined the intersection between climate change, migration, and health. The study aimed to synthesize policy recommendations in the peer-reviewed literature, regarding this type of environmental migration with respect to health, to strengthen the evidence-base. Systematic searches were conducted in four academic databases (PubMed, Ovid Medline, Global Health and Scopus) and Google Scholar for empirical studies published between 1990-2020 that used any study design to investigate migration and health in the context of climate change. Studies underwent a two-stage protocol-based screening process and eligible studies were appraised for quality using a standardized mixed-methods tool. From the initial 2425 hits, 68 articles were appraised for quality and included in the synthesis. Among the policy recommendations, six themes were discernible: (1) avoid the universal promotion of migration as an adaptive response to climate risk; (2) preserve cultural and social ties of mobile populations; (3) enable the participation of migrants in decision-making in sites of relocation and resettlement; (4) strengthen health systems and reduce barriers for migrant access to health care; (5) support and promote optimization of social determinants of migrant health; (6) integrate health into loss and damage assessments related to climate change, and consider immobile and trapped populations. The results call for transformative policies that support the health and wellbeing of people engaging in or affected by mobility responses, including those whose migration decisions and experiences are influenced by climate change, and to establish and develop inclusive migrant healthcare.
Compositional and contextual characteristics of a place capture the collective fnancial, physical, human, and social capital of an area and its ability to prevent, plan for, and recover from severe weather events. Research that examines the compositional and contextual characteristics of places with elevated food risk is largely limited to urban-centric analyses and case studies. However, rural areas of the USA are not immune to fooding. In this paper, we integrate social and physical data to identify the social correlates of food risk and determine if and how they vary across the rural–urban continuum for all census tracts in the coterminous USA. Our results show that risk of fooding is higher in rural tracts, in tracts with larger relative shares of socioeconomically vulnerable populations, and in tracts reliant on food-vulnerable industries. We also show that compositional social correlates of fooding are not consistent across rural–urban areas. This work widens the scope of discourse on fooding to attend to the heterogeneity of social correlates and the implications for policy and future research.
Understanding and improving the public risk perception have become an important element in the management of flood risk. In China, the risk government is of so-called nationwide catastrophe response mode which is different from the widely adopted “bottom up” risk governance mode in the Western countries. Such a particular mode may make Chinese people perceive risk in a different way from people in other countries. Hence, a further discussion of risk perception is of great value in China. ?This paper presents a case study on the public perception of flood hazard and flood risk in a city prone to floods. The relationship between risk perception and exposure was examined by spatial analysis. Meanwhile, inferential testing with chi-squared tests was undertaken regarding experience, social trust, and protective behaviors. Our results suggest that (1) the relationship between exposure and risk perception of people in Nanjing is positive and statistically significant, (2) flood experience was strongly related to risk perception, (3) trust showed a significant relationship to risk perception, and (4) people who have perceived the probability of floods and associated loss of life have a higher willingness to take more protective measures. These findings will help local government to develop effective flood risk communication strategies for improving public awareness creation, emergency response and preparedness.
Over the last decade, several flood early warning systems have been established in Nepal, helping reduce the number of people affected and killed by floods. However, there are still challenges in communicating flood warning to the most vulnerable. The unavailability of real-time monitoring in smaller streams and tributaries has created challenges for communicating early warning. The ongoing restructuring process of the multilevel governance system in the country also presents challenges, specifically institutional such as insufficient coordination among relevant agencies, lack of adequate personnel, limited budget, and unclear roles and responsibilities. This study uses the Alexander framework (2015) to identify gaps in flood early warning communication in relation to their technical, institutional and socio-cultural components. Qualitative research methods in the form of key informant interviews and on-site focus group discussions were conducted at the national, district and local levels to collect data, taking Ratu watershed as a case study. Based on our analysis, we conclude that, first, while progress has been made in the monitoring and forecasting of floods, integration of socio-cultural aspects that can make early warning information accessible to the most vulnerable has to be strengthened. Second, warning messages need to be co-designed with communities and tailored to meet their diverse needs for proper dissemination and timely protective action. Finally, for flood risk communication to bridge ‘the last mile’ in terms of reaching the most vulnerable in the community must take account of their distinct social, economic and political experiences in both content and delivery of the information.
Poverty and discrimination compound vulnerability to disasters. Yet, people who experience these are some of the least involved groups in Disaster Risk Reduction (DRR) dialogue and research. This study aims to fill that gap by narrating the lived experience of underprivileged flood-affected communities. We conducted in-depth interviews (N = 48) with community members (n = 36) and staff members of collaborating non-governmental organisations (n = 12). We also conducted focus group discussions with staff members of the same NGOs. The results describe how systemic issues entrenched with socio-economic and cultural factors impact a community?s ability to prepare for floods. These communities received no warning or timely evacuation messages, and perceived the received support as inadequate and unfair. Communities recovered through their resourcefulness and thoughtfulness. They resented the government for its lack of action throughout the disaster cycle. Priorities for future efforts involve actively engaging these vulnerable groups and tailoring DRR activities for them.
Despite the direct linkage between climate change and social work practice, the involvement of social workers in addressing climate change issues remains discouraging. This is attributed to lack of exposure in climate change issues during training as social workers leading to lack of adequate tools for social workers to integrate climate change issues into their day-to-day interventions with clients. This paper is aimed at providing guidelines for social work practice in mainstreaming the participation of rural women in the climate change discourse. Social workers and rural women are absent from climate change interventions at professional, practice and personal levels. The precarious impacts of climate change manifesting through floods, droughts, water scarcity, depletion of the natural resource base, cyclones and heat waves disproportionally affect women particularly those in rural communities. Women’s vulnerability to climate change is emanating from exclusion in climate change decision-making processes, cultural norms and patterns which confines them to household responsibilities, lack of adaptive capacity, low literacy levels, patriarchal dominance and high poverty levels. As such, social workers are required to enhance social change, through empowerment and liberation of women to participate in discussions on climate change like men. A model is presented based on experiences in southern Africa to provide some guidance for social workers on how best to mainstream gender dimensions in climate change interventions. This would foster social and environmental justice, social resilience, equal participation in the climate change discourse, capacity building and adaptive capacity for rural women.
The aim of this study was to analyse the association between season of birth, temperature and neonatal mortality according to socioeconomic status in northern Sweden from 1880 to 1950. The source material for this study comprised digitised parish records combined with local weather data. The association between temperature, seasonality, socioeconomic status and neonatal mortality was modelled using survival analysis. We can summarise our findings according to three time periods. During the first period (1880–1899), temperature and seasonality had the greatest association with high neonatal mortality, and the socioeconomic differences in vulnerability were small. The second period (1900–1929) was associated with a decline in seasonal and temperature-related vulnerabilities among all socioeconomic groups. For the last period (1930–1950), a new regime evolved with rapidly declining neonatal mortality rates involving class-specific temperature vulnerabilities, and there was a particular effect of high temperature among workers. We conclude that the effect of season of birth on neonatal mortality was declining for all socioeconomic groups (1880–1950), whereas weather vulnerability was pronounced either when the socioeconomic disparities in neonatal mortality were large (1880–1899) or during transformations from high to low neonatal rates in the course of industrialisation and urbanisation.
During the summer of 2018 Sweden experienced a high occurrence of wildfires, most intense in the low-densely populated Jämtland Härjedalen region. The aim of this study was to investigate any short-term respiratory health effects due to deteriorated air quality generated by the smoke from wildfires. For each municipality in the region Jämtland Härjedalen, daily population-weighted concentrations of fine particulate matter (PM(2.5)) were calculated through the application of the MATCH chemistry transport model. Modelled levels of PM(2.5) were obtained for two summer periods (2017, 2018). Potential health effects of wildfire related levels of PM(2.5) were examined by studying daily health care contacts concerning respiratory problems in each municipality in a quasi-Poisson regression model, adjusting for long-term trends, weekday patterns and weather conditions. In the municipality most exposed to wildfire smoke, having 9 days with daily maximum 1-h mean of PM(2.5) > 20 ?g/m(3), smoke days resulted in a significant increase in daily asthma visits the same and two following days (relative risk (RR) = 2.64, 95% confidence interval (CI): 1.28-5.47). Meta-estimates for all eight municipalities revealed statistically significant increase in asthma visits (RR = 1.68, 95% CI: 1.09-2.57) and also when grouping all disorders of the lower airways (RR = 1.40, 95% CI: 1.01-1.92).
Enteric infections and water-related illnesses are more frequent during times of relative water abundance, especially in regions that experience bimodal rainfall patterns. However, it is unclear how seasonal changes in water availability and drinking water source types affect enteric infections in young children. This study investigated seasonal shifts in primary drinking water source type and the effect of water source type on enteric pathogen prevalence in stool samples from 404 children below age 5 in rural communities in Limpopo Province, South Africa. From wet to dry season, 4.6% (n = 16) of households switched from a source with a higher risk of contamination to a source with lower risk, with the majority switching to municipal water during the dry season. In contrast, 2.6% (n = 9) of households switched from a source with a lower risk of contamination to a source with higher risk. 74.5% (n = 301) of the total households experienced interruptions in their water supply, regardless of source type. There were no significant differences in enteric pathogen prevalence between drinking water sources. Intermittent municipal water distribution and household water use and storage practices may have a larger impact on enteric infections than water source type. The limited differences in enteric pathogen prevalence in children by water source could also be due to other exposure pathways in addition to drinking water, for example through direct contact and food-borne transmission.
The current increase and severity of the natural disasters whose effects on the public health are likely to be even more extreme and complex, requires enhancing and developing the disaster preparedness on the population level. In order to be able to do so, it is inevitable and determinative to know the factors that affect people’s preparedness on the population level. Therefore, the objective of this article is to present the results from assessing the factors related to the population preparedness for the disasters on a sample of citizens living from the Slovak Republic. Our research is based on the exploration of the questionnaire survey’ results aimed at investigating the preparedness and preventive proactive behaviour of the population against the disasters. The search for the initiators of such a behaviour and assessment of the influence of various aspects (e.g., the respondents’ experience with disasters, their vulnerability to disasters, the risk awareness, the perception of the disaster risks in the changing environment, etc.) on the respondents’ behaviour against disasters is the main part of the article and is supported by the statistical analysis. The results of the survey suggest that the disaster risk awareness and overall disaster preparedness level is rather poor and the population is inactive. The proactive behaviour of the respondents against the disasters is partially affected by some of their personality and socio-economic characteristics, especially the younger respondents currently incline more to adopting the protective measures. In addition, other aspects, e.g., the negative experience with the disasters in the past influence the preparedness. However, the impacts must have been relatively serious for the proactive behaviour to be influenced. The influences of other aspects as well as the possible methods for improving the disaster preparedness and the possibilities of increasing the resilience of the population as a whole are also discussed in this article.
Changes in the preconception ambient temperature (PAT) can affect the gametogenesis, disturbing the development of the embryo, but the health risks of PAT on the developing fetus are still unclear. Here, based on the National Free Preconception Health Examination Project in the rural areas of Henan Province, we evaluate the effects of PAT on preterm birth (PTB). Data of 1,231,715 records from self-reported interviews, preconception physical examination, early gestation follow-up, and postpartum follow-up were collected from 1 January 2013 to 31 December 2016. Generalized additive models were used to assess the cumulative and lag effects of PAT upon PTB. The significant cumulative effects of mean temperature within 2 weeks and 3 weeks on the risk of PTB, especially upon late PTB (34-36 weeks) (P < 0.05), were observed. Exposure to extreme heat (> 90th percentile) within 2 weeks (RR = 1.470) and 3 weeks (RR = 1.375) before conception could increase the risk of PTB. After stratifying PTB, exposure to extreme heat within 2 weeks before conception can increase the risks of early (< 34 weeks) and late PTB (P < 0.05). Besides, exposure to extreme cold (< 10th percentile) within 3 weeks or longer before conception can elevate the risk of PTB, especially late PTB. The significant lag effects of temperature changes on the risk of early PTB (lag-8 days or earlier) were observed. In conclusion, the risk of PTB was susceptible to PAT changes within 2 weeks or longer before conception. Our findings provide (i) guidance for rural couples to make pregnancy plans and (ii) scientific evidence for the government to formulate policies to prevent PTB.
Despite perceptions of high water availability, adequate access to sufficient water resources remains a major challenge in Alaska. This paper uses a participatory modeling approach to investigate household water vulnerability in remote Alaska and to examine factors that affect water availability and water access. Specifically, the work asks: how do water policy stakeholders conceptualize the key processes that affect household water vulnerability in the context of rural Alaska? Fourteen water policy stakeholders participated in the modeling process, which included defining the problem of household water vulnerability and constructing individual causal loop diagrams (CLDs) that represent their conceptualization of household water vulnerability. Individual CLDs were subsequently combined and five sub-models emerged: environmental, economic, infrastructure, social, and health. The environmental and economic sub-models of the CLD are explored in depth. In the environmental sub-model, climate change and environmental barriers due to geography influence household water vulnerability. In the economic sub-model, four processes and one feedback loop affect household water vulnerability, including operations and maintenance funding, the strength of the rural Alaskan economy, and the impact of regulations. To overcome household water vulnerability and make households more resilient, stakeholders highlighted policy solutions under five themes: economics, social, regulatory, technological, and environmental.
Climate variability and change (CVC) affect many economic sectors including agriculture. In order to alleviate the negative impact of CVC on food production, farmers must adopt a range of strategies. However, the strategies will be less effective if farmers’ perceptions on CVC are not considered. This study therefore, examined the perceptions of commercial farmers on CVC and their adaptation strategies to the perceived impacts. It used a cross-sectional survey involving 365 farmers in the intensive farming region of Zimbabwe. Results showed that farmers’ perceptions on increasing temperatures and decreasing rainfall amounts were cognate with climate data from the meteorological office. The findings also demonstrated that farmers were well aware of the CVC impacts on their livelihoods. These include increases in the frequency and severity of drought, and a shortening of the length of the rainy season. However, the most significant changes were observed among the natural and economic capitals including soil salinization, reduction in grazing pastures, fodder and crop yields in addition to increases in food prices. In response to the perceived impacts of local CVC, the farmers were adopting crop and land use management strategies that include planting rotation, cultivating short-season varieties and drought tolerant crops, crop and farm diversification, intensified irrigation, agroforestry, soil moisture conservation and mixed farming. The study concludes that farmers are active observers of local CVC. Therefore, they should modify their agricultural calendar and diversify their farming systems so as to better meet current and future risks from CVC.
Using interviews and surveys of 212 households in villages situated at different elevations in the Everest National Nature Preserve (ENNP), correlations and comparative analyses were employed to reveal the residents’ perceptions and understanding of climate change and its effects on the ENNP. Results showed that: (1) nearly all residents thought that climate warming and ice-snow landscape decrease were very significant, but there was an obvious difference between the residents’ cognition and observations to the change of runoff; (2) higher altitude is, more obvious warming is, and stronger residents’ perception of climate change and its impacts is in the ENNP, for which educational level and age were the main factors affecting their degree of perception; (3) especially, higher altitude is, more frequent the tourism participation of residents is and higher their income is; and (4) because the centralized pollutant treatment facilities have a low efficiency, and because the area receives a large number of tourists whose activities are spatially scattered, the potential risk of environmental pollution has been increasing in recent years. At present there is an urgent need for policy suggestions at the strategic level of national ecological security and interregional equity principles concerning the adaptation to climate and environmental changes in the ENNP.
Mosquitoes propagate many human diseases, some widespread and with no vaccines. The Ae. aegypti mosquito vector transmits Zika, Chikungunya, and Dengue viruses. Effective public health interventions to control the spread of these diseases and protect the population require models that explain the core environmental drivers of the vector population. Field campaigns are expensive, and data from meteorological sites that feed models with the required environmental data often lack detail. As a consequence, we explore temporal modeling of the population of Ae. aegypti mosquito vector species and environmental conditions- temperature, moisture, precipitation, and vegetation- have been shown to have significant effects. We use earth observation (EO) data as our source for estimating these biotic and abiotic environmental variables based on proxy features, namely: Normalized difference vegetation index, Normalized difference water index, Precipitation, and Land surface temperature. We obtained our response variable from field-collected mosquito population measured weekly using 791 mosquito traps in Vila Velha city, Brazil, for 36 weeks in 2017, and 40 weeks in 2018. Recent similar studies have used machine learning (ML) techniques for this task. However, these techniques are neither intuitive nor explainable from an operational point of view. As a result, we use a Generalized Linear Model (GLM) to model this relationship due to its fitness for count response variable modeling, its interpretability, and the ability to visualize the confidence intervals for all inferences. Also, to improve our model, we use the Akaike Information Criterion to select the most informative environmental features. Finally, we show how to improve the quality of the model by weighting our GLM. Our resulting weighted GLM compares well in quality with ML techniques: Random Forest and Support Vector Machines. These results provide an advancement with regards to qualitative and explainable epidemiological risk modeling in urban environments.
This paper uses a holistic approach within a catchment scale, through the application of both climatic and non-climatic parameters, to analyze the impacts of river floods on the human security needs of rural riverine communities in the Waimanu Catchment situated in Nausori, Fiji. Consideration of both climatic and non-climatic factors is required since non-climatic factors could be controlled to build resilience against floods. The indicator-based flood vulnerability index methodology is applicable worldwide, but the indicators used in this study were specifically related to the Pacific Island context. In the context of fluvial flood vulnerability, effects of land management and climate change are not mutually exclusive of each other. Consequently, vulnerability assessments should consider the connection between people’s actions and ecosystems for the entire catchment area since upstream land use practices influence flood vulnerabilities downstream. In our research, a community-based flood vulnerability index system in conjunction with rainfall variability and land use assessments was used to quantitatively and qualitatively analyze the flood vulnerability, and it was found that increased rainfall, poor agricultural practices, gravel extraction, and improper waste management predominantly increased the exposure and sensitivity of midstream and downstream communities to river floods by modifying river morphology. Midstream communities in the Waimanu Catchment were most vulnerable to river floods due to their very low adaptive capacity in terms of poor ecosystem health and lack of natural resources to cope with the subsequent impacts of floods, being most sensitive to changes in land use and land cover.
Urban heat island (UHI) and cool island (UCI) effects are well-known and prevalent in cities worldwide. An increasing trend of extreme heat events has been observed over the last few decades and is expected to continue in the foreseeable future. In this study, warm periods (May to September) of 2000-2018 were examined to acquire a comprehensive understanding of the UHI and UCI characteristics for the case study of Hong Kong, China. Twenty-two weather stations in Hong Kong were classified into four categories, namely urban, urban oasis, suburban, and rural, with reference to the local climate zone (LCZ) scheme, to analyze UHI and UCI phenomena during extreme heat and non-extreme heat situations. One representative type of extreme heat events was considered in this study: three consecutive hot nights with two very hot days in between (2D3N). Results show that both the UHI and UCI effects are exacerbated during extreme heat events. Using the concept of the UHI degree hours (UHIdh) and UCI degree hours (UCIdh), their spatial patterns in Hong Kong during extreme heat and non-extreme heat situations were mapped based on multiple linear regression models. It is found that the predictor variable – windward/leeward index is a significant influential factor of both UHIdh and UCIdh during extreme heat events. The resulting UHIdh and UCIdh maps not only enhance our understanding on the spatial pattern and characteristics of the UHI and UCI during extreme heat events, but could also serve as a useful reference in climate change adaptation, heat-health risk detection, cooling-energy estimation and policy making.
Most climate change literature tends to downplay the gendered nature of vulnerability. At best, gender is discussed in terms of the male-female binary, seen as opposing forces rather than in varying relations of interdependency. Such construction can result in the adoption of maladaptive culturally unfit gender-blind policy and interventions. In Egypt, which is highly vulnerable to climate change, gender analysis of vulnerability is almost non-existent. This paper addresses this important research gap by asking and drawing on a rural Egyptian context ‘How do the gendered relational aspects of men’s and women’s livelihoods in the household and community influence vulnerability to climate change?’. To answer this question, I draw on gender analysis of social relations, framed within an understanding of sustainable livelihoods. During 16 months of fieldwork, I used multiple ethnographic methods to collect data from two culturally and ethnically diverse low-income villages in Egypt. My main argument is that experiences of climate change are closely intertwined with gender and wider social relations in the household and community. These are shaped by local gendered ideologies and cultures that are embedded in conjugal relations, kinship and relationship to the environment, as compared across the two villages. In this paper, I strongly argue that vulnerability to climate change is highly gendered and therefore gender analysis should be at the heart of climate change discourses, policy and interventions.
Many deltas worldwide have increasingly faced extreme drought and salinity intrusion, which have adversely affected millions of coastal inhabitants in terms of lives and property. The Vietnamese Mekong Delta (VMD) is considered one of the world?s most vulnerable regions to drought and saline water intrusion, especially in the context of climate change. This study aims to assess livelihood vulnerability and adaptation of the coastal people of the VMD under the impacts of drought and saltwater intrusion. A multi-disciplinary approach was applied, including desktop literature reviews, field surveys, interviews, and focus group discussions with 120 farmers and 30 local officials in two representative hamlets of Soc Trang, a coastal province of the VMD. A vulnerability assessment tool in combination with a sustainable livelihood framework was used to evaluate livelihood vulnerability using the five capital resources to indicate the largest effects of drought and salinity intrusion on the migration of local young people to large cities for adaptation. Livelihood Vulnerability Indexes revealed higher vulnerability in terms of the five capitals of coastal communities living in Nam Chanh hamlet compared to Soc Leo. Results of interviews with officials indicated an optimized mechanism between social organizations and local communities before, at the time, and after being impacted by the drought and salinity intrusion. Our findings contribute evidence-based knowledge to decision-makers to enable coastal communities in the VMD and other deltas worldwide to effectively adapt to the impacts of drought and salinity intrusion.
Livelihoods of ethnic minority populations living in the mountains of Northern Vietnam are highly vulnerable to climate-induced natural hazards. Therefore, the livelihoods of vulnerable ethnic minority populations in these areas could be improved through climate change adaptation measures. This study pursues an enhancement of three different aggregate indices such as Livelihood Vulnerability Index (LVI), Livelihood Vulnerability Index framed within the IPCC vulnerability framework (LVI-IPCC), and Livelihood Effect Index (LEI) to find out components contributing to the livelihood vulnerability of major ethnic minority populations in a case study of Mo Vang mountain (Yen Bai, Vietnam). A total of 120 Dzao and Hmong respondents from 11 villages are surveyed based on a combination of informal interviews, a questionnaire survey, and Focused Group Discussions (FGD). Twenty-nine sub-components belonging to 10 major components (socio-demographic profile, livelihood strategies, social networks, revenue, health, food, water, housing, land, and natural hazards and climate variability) are conducted to calculate LVI, LVI-IPCC, and LEI. The results show that the livelihood of Hmong populations is more vulnerable to climate change for natural conditions such as natural hazards and climate variability, housing, land, water, food, and health. However, the livelihood of Dzao populations is more vulnerable because of socio-economic conditions such as socio-demographic profile, livelihood strategies, revenue, and social networks. The results provide a scientific basis for both residents, local officials, and policy-makers prioritizing solutions to enhance livelihood capitals as well as to improve adaptive capacity to climate change in the mountains of Northern Vietnam.
Bangladesh is a country of natural disasters and climatic hazards, which frequently affect its inhabitants’ lives and livelihoods. Among the various risks and disasters, floods are the most frequent hazard that makes haor households vulnerable. Therefore, this study was undertaken to estimate livelihood vulnerability to flooding within the flood-prone haor ecosystem in Bangladesh. Primary data were collected from 100 haor households each from Kishoreganj, Netrokona, and Sunamganj districts (N?=?300) by applying a multistage random sampling technique. Data were collected through face-to-face interviews using a pretested structured questionnaire. The Livelihood Vulnerability Index (LVI) and the Intergovernmental Panel on Climate Change (IPCC) framework of vulnerability were applied to compare vulnerabilities among the selected haor-based communities. The empirical results revealed that haor households in Sunamganj district were more vulnerable to flood hazard and natural disaster in terms of food, water, and health than households in the other two districts. Taking into account the major components of the LVI, the IPCC framework of vulnerability indicated that households in Sunamganj district were the most vulnerable due to their lowest adaptive capacity and highest sensitivity and exposure. These findings enable policymakers to formulate and implement effective strategies and programs to minimize vulnerability and enhance resilience by improving the livelihoods of the vulnerable haor households of Bangladesh, especially those in Sunamganj district.
Particulate matter (PM) has been occurring regularly during the dry season in the upper north of Thailand including Lamphun Province that might be influenced by various factors including climatologic and other pollutants. This paper aims to investigate the climatologic and gaseous factors influencing the occurrence of PM(10) concentration using Pollution Control Department (PCD) data. The secondary data of 2009 to 2017 obtained from the PCD was used for analysis. We used descriptive statistics, Pearson’s correlation coefficient, multiple regression and graphic presentation using R program (R packages of ‘open air’ and ‘ncdf4’) and Microsoft Excel Spreadsheet®. In addition, the periodic measurement of PM(2.5) and PM(10) were investigated to determine the ratio of PM(2.5)/PM(10). The results indicated that haze episodes (daily PM(10) concentration always over the PCD standard) normally occur during the dry season from February to April. The maximum concentration was always found in March. The PM(10) concentration was negatively associated with relative humidity and temperature while the PM(10) concentration showed a strongly positive association with CO and NO(2) concentration with correlation values of 0.70 and 0.57, respectively. Furthermore, we found CO and PM(10) concentration was associated with ozone concentration. This finding will benefit local communities and the public health sector to provide a warning system for preparation and response plans to react to PM(10) episodes in their responsible areas.
Households’ vulnerability assessment is considered an essential step towards reducing the harmful consequences of disaster risks. Adaptation helps in reducing their future vulnerability. The aims of this study are to (1) assess the different components of vulnerability, (2) compare the individual components and the composite vulnerability between the two regions and (3)assess the households’ adaptation to floods. Data were collected from 382 households and statistical tests were applied for comparison among these households living in two regions. A total of 32 and 17 indicators were used for vulnerability and adaptation assessment respectively. Results revealed that social, economic, physical and institutional components of vulnerability were found higher in Region 1 than Region 2. Except for social and attitudinal vulnerability, all the other vulnerability components had significant differences. Similarly, the overall composite vulnerability was higher in Region 1 than Region 2 and statistically significant. Moreover, in both regions, informal adaptation was mostly practiced compared to formal adaptation. Thus, it is recommended that the government and non-governmental stakeholders provide options and facilitation for formal adaptation at the community level.
Human health vulnerability (HHV) to different climate change-related phenomena, that is, summer heat extremes, is related to the exposure, sensitivity, and adaptive capacity of the affected entities. The current research is an empirical regional assessment of the human health effects of summer heat extremes in the Romania-Bulgarian Danube floodplain Calafat-Vidin-Turnu Magurele-Nikopol (CV-TMN) sector. The external biophysical and socioeconomic factors that shape the vulnerability are supported by the climate approach. The research relies on processing meteorological data from the most representative climate stations in the study area based on which some indicators-significant for measuring the impact on human health-were computed (e.g., number of extremely hot days, number of tropical days, number of tropical nights) and integrated into a composite summer heat extremes index (SHEI). To assess HHV to summer heat extremes, the vulnerability framework was completed by the internal socioeconomic factors revealed by the characteristics of the population living in urban and rural settlements in terms of demographic, health provisions, and quality of indoor living spaces. Finally, the authors computed the index of human health vulnerability to summer heat extremes (HHVI) as the Hull Score at the level of territorial local administrative units.
BACKGROUND: People working in agriculture, fishing, and forestry have elevated risks of suicide. The suicide rates for the occupations of “agriculture, fishing, and forestry” are significantly higher than any other occupation. AIMS OF STUDY: This study evaluates whether the variability in socioeconomic and demographic factors and in climate as well as the support from mental health providers and social associations affected the suicide rates of farmers in the US. METHODS: We estimate Poisson count data regression and county level-fixed effects regressions using data from the National Center for Health Statistics complemented with relevant socio-economic, climate data and data on mental health providers from a variety of sources. RESULTS: The results show more suicides in counties with more farms and with higher share of population without health insurance, lower agricultural wages and, in non-rural counties higher poverty rate. Surprisingly, we find more suicides in counties with more social associations, while the availability of mental health providers is associated with fewer suicides in non-rural counties, and lower suicide rate in southern counties. DISCUSSION: These results highlight the need for innovative targeted policy interventions instead of relying on one-size-fits-all approach. Farmers and farm workers are yet to be reached with modern and effective tools to improve mental health and prevent suicide. At the same time, factors such as the weather and climate as well as some more traditional factors such as social associations or religious participation play a limited role. IMPLICATIONS FOR HEALTH POLICIES: Support mechanisms have a differential effect in rural and urban areas. It is important to identify the specific demographic, climate, and policy changes that serve as external stressors and affect farm workers’ suicide and accidental death from on-farm injury. IMPLICATION FOR FURTHER RESEARCH: Ideally, individual level data on farmers would be best in a study that evaluates what factors cause suicides.
Climate change is increasing the frequency and intensity of extreme events. Adaptation strategies at societal and household level are crucial to reduce vulnerability. We assessed to what extent personal flood affectedness, in particular health impacts, influence adaptive behavior. We conducted a cross-sectional survey in northern Chile one year after a major flood event and assessed several dimensions of flood affectedness and adaptive behavior at the household level. After the event, a wide range of adaptation measures, including water storage and prepa-ration of emergency kits, had been implemented by 80% of the population.
Human exposure to floods continues to increase, driven by changes in hydrology and land use. Adverse impacts amplify for socially vulnerable populations, who disproportionately inhabit flood-prone areas. This study explores the geography of flood exposure and social vulnerability in the conterminous United States based on spatial analysis of fluvial and pluvial flood extent, land cover, and social vulnerability. Using bivariate Local Indicators of Spatial Association, we map hotspots where high flood exposure and high social vulnerability converge and identify dominant indicators of social vulnerability within these places. The hotspots, home to approximately 19 million people, occur predominantly in rural areas and across the US South. Mobile homes and racial minorities are most overrepresented in hotspots compared to elsewhere. The results identify priority locations where interventions can mitigate both physical and social aspects of flood vulnerability. The variables that most distinguish the clusters are used to develop an indicator set of social vulnerability to flood exposure. Understanding who is most exposed to floods and where, can be used to tailor mitigation strategies to target those most in need.
Rural communities inhabited on riverbank areas are frequently facing the ever-increasing psychological, social and economic distress due to negative effects of riverbank erosion. This study focused to investigate the impact of climate-based hazards particularly riverbank erosion on human displacement, food security and livelihood of rural riverine households and how vulnerable households act in response. The survey data of 398 households of erosion-prone riverbank area were collected, and group discussions connecting household heads from this area were also used for this study. In human displacement scenario of the last ten years due to riverbank erosion, almost 60% households lost their homestead once while 38% more than three times and forced to displaced. Empirical estimates of households’ food security status indicated the value of Food Security Index 2.11, highlighting households face issue of food security all over the year. Food security issue of vulnerable households is highly related with migration because these households have insufficient employment chances, and coupled with limited or no farming land, they are highly prone to migration. In conclusion, this study estimated that riverbank erosion risk is a co-exist reason of population displacement, increasing rural environmental vulnerability and obstacles to psychological, cultural and socioeconomic development. Implications of local-based proper policy interventions such as developing advance research regarding infusion of agro-based technology packages for emerging Bait areas for developing resilience, human capital development, credit access and institution service are necessary for improving livelihood and food security of these riverbank erosion households. State-based institutions and local community mutually need to focus increasing forestry specifically in riverbank areas to save fertile land from riverbank erosion and reducing environmental pollution. Convalescing livelihood and food security for erosion riverbank households, more employment opportunity needs to provided, investing more in training and education programmes to promoting income-generating activities that subsequently will develop livelihood and food security of households.
This study focuses on Guizhou Province, a region with difficult geographical conditions and poor economic development, to examine the effect of rainfall shocks on contemporaneous infant health and long-run socioeconomic outcomes in China. The study results indicate that negative rainfall shocks are robustly correlated with higher infant mortality and lower birth weight. In the long run, early life rainfall shortages limit an individual’s income and housing conditions. The study findings indicate a significant interaction of rainfall shock with the severity of water scarcity. This result implies that drinking water safety is an essential channel through which early life rainfall shocks influence individual health endowments. However, agriculture production is not a likely channel for rainfall effects despite its association with infant mortality. Accordingly, our empirical results suggest that improving public facility coverage will reduce the vulnerability of infant health to adverse rainfall shocks in Guizhou and other developing areas.
Floods are the most common hazard in Bangladesh adversely affecting the lives and livelihoods of millions of riverine people. Flood-affected households adopt a variety of post-disaster mitigation measures, to the best of their ability, in recognition that similar events are likely to occur again in the future. However, little is known about what drives a household to adopt risk mitigation measures after experiencing a severe flood. The objective of this study was to investigate the determinants of households’ decisions on the implementation of flood risk mitigation measures, following the severe flood in 2017 in northern Bangladesh. The data used for this study were collected from the right bank of the Teesta River in Bangladesh through a survey of 377 households and six key informant interviews. Most of the households (83.3%) adopted at least one risk mitigation measure from either structural or nonstructural categories after the 2017 flood. Binary logistic regression models provide useful insights into the determinants of the implementation of mitigation measures and intention to implement mitigation measures in future. The results showed that the perceived probability of flood, perceived preparedness, flood experience, exposure to flood, membership, household head’s sex, income source, and landownership significantly influenced households to implement mitigation measures in the post-disaster period. Additionally, the intention to implement mitigation measures was influenced by the membership and education of households. This study contributes in terms of useful information about the determinants of post-disaster mitigation measures in riverine areas of Bangladesh. These findings can be used to target specific households to promote disaster risk reduction interventions.
Cardiovascular disease (CVD), reported to relate with climate change, is the leading cause of global mortality and morbidity. Since the relevant information is quite limited from suburbs and countryside in developing and underdeveloped countries, there are no studies that focused on morbidity through diurnal temperature range (DTR) for these regions. This is the first study to evaluate the short-term effect of DTR on CVD hospital admission in suburban farmers, as well as to identify vulnerable subpopulations. Daily time series data of CVD hospital admissions on suburban farmers of Qingyang, China, and meteorological data from 2011 to 2015 were collected, and a distributed lag non-linear model (DLNM) combined with a quasi-Poisson generalized additive regression model (GAM) was used to examine the exposure-response relationship and delayed effect between DTR and CVD hospital admissions. Stratified analyses by age and gender were performed and extreme DTR effects were examined. Non-linear relation between DTR and CVD hospital admissions was observed, and whether DTR lower or higher than the reference (13 °C, 50(th) percentile) had adverse effect while lower DTR have slightly higher impact. Also, both extreme low and extreme high DTR had adverse effect. Besides, adults (age < 65) and males were more vulnerable to the effects of DTR compared with the old (age ? 65) and females, respectively. This study provides evidence that not only high DTR but also low DTR had adverse effects on CVD which should be paid attention to. Adults and males were more vulnerable among suburban farmers. The results are inconsistent with the studies from urban and indicate differences between urban and suburban residents. Multiple factors such as occupations, risk awareness, and lifestyles could have a significant influence on CVD morbidity, and further study is needed to explore more evidence.
Climate extreme events have significant impacts on the livelihoods of smallholder women farmers. The aim of the present study is to investigate the coping and adaptation measures that women farmers use to respond to specific climate extreme events. The data for the study comes from 187 smallholder women farmers from Upper West region of Ghana. The study employed the Bivariate Probit model in the empirical analysis. The results revealed that membership of farmer-based organizations and the use of climate information were the key factors which influenced women farmers’ coping strategies against climate extreme events. Women farmers’ adaptation measures were mainly influenced by access to credit. The key policy variable that influenced both coping and adaptation measures of women farmers was access to agricultural extension services. The study recommends that policy should focus on the promotion of specific coping and adaptation interventions against climate extreme events among women farmers. Policy should create enabling environment for the establishments of farmer-based organizations, increase women farmers’ contact with women agricultural extension officers and remove institutional barriers that impede access to credit and the use of climate information.Climate extreme events have significant impacts on the livelihoods of smallholder women farmers. The aim of the present study is to investigate the coping and adaptation measures that women farmers use to respond to specific climate extreme events. The data for the study comes from 187 smallholder women farmers from Upper West region of Ghana. The study employed the Bivariate Probit model in the empirical analysis. The results revealed that membership of farmer-based organizations and the use of climate information were the key factors which influenced women farmers’ coping strategies against climate extreme events. Women farmers’ adaptation measures were mainly influenced by access to credit. The key policy variable that influenced both coping and adaptation measures of women farmers was access to agricultural extension services. The study recommends that policy should focus on the promotion of specific coping and adaptation interventions against climate extreme events among women farmers. Policy should create enabling environment for the establishments of farmer-based organizations, increase women farmers’ contact with women agricultural extension officers and remove institutional barriers that impede access to credit and the use of climate information.
Since the early twentieth century, the intensity of malaria transmission has decreased sharply worldwide, although it is still an infectious disease with a yearly estimate of 228 million cases. The aim of this study was to expand our knowledge on the main drivers of malaria in Spain. In the case of autochthonous malaria, these drivers were linked to socioeconomic and hygienic and sanitary conditions, especially in rural areas due to their close proximity to the wetlands that provide an important habitat for anopheline reproduction. In the case of imported malaria, the main drivers were associated with urban areas, a high population density and international communication nodes (e.g. airports). Another relevant aspect is that the major epidemic episodes of the twentieth century were strongly influenced by war and military conflicts and overcrowding of the healthcare system due to the temporal overlap with the pandemic flu of 1918. Therefore, military conflicts and overlap with other epidemics or pandemics are considered to be drivers of malaria that can-in a temporary manner-exponentially intensify transmission of the disease. Climatic factors did not play a relevant role as drivers of malaria in Spain (at least directly). However, they did influence the seasonality of the disease and, during the epidemic outbreak of 1940-1944, the climate conditions favored or coadjuvated its spread. The results of this study provide additional knowledge on the seasonal and interannual variability of malaria that can help to develop and implement health risk control measures. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s41207-021-00245-8.
Some epidemiological and ecological aspects of Zoonotic cutaneous leishmaniasis (ZCL) in Ouarzazate province, southern Morocco, were explored with the objective of analyzing ZCL distribution and associated ecological factors. Information on cutaneous leishmaniasis patients attending the local health centers of Ouarzazate during the period 2002-2009 was gathered and compiled. Urban, peri-urban, rural origin, precipitation, wind speed, temperature, water irrigation, dam volume, and altitude were studied. The findings show that the disease affected 5405 person during this period; the major part was found in the municipalities near both oases (desert oasis) and water resources, with a high concentration of cases in the peri-urban area. The highest percentage of cases was recorded mainly in September. Considerable associations were found between relative humidity and wind speed with ZCL occurrence. A large number of cases were recorded in areas with altitude ranging from 800 to 2000 m.a.s.l. and spatial precipitation from 15 to 150 mm. The statistical analysis showed a strong association between water storage volume and water irrigation with the annual ZCL occurrence recorded in the downstream area (Zagora province). The results will lead us to understand ZCL risk areas for effective control. Further work is needed mainly for gathering these variables in one single and simplest model.
Aedes aegypti is the main vector of dengue globally. The variables that influence the abundance of dengue vectors are numerous and complex. This has generated a need to focus on areas at risk of disease transmission, the spatial-temporal distribution of vectors, and the factors that modulate vector abundance. To help guide and improve vector-control efforts, this study identified the ecological, social, and other environmental risk factors that affect the abundance of adult female and immature Ae. aegypti in households in urban and rural areas of northeastern Thailand. A one-year entomological study was conducted in four villages of northeastern Thailand between January and December 2019. Socio-demographic; self-reported prior dengue infections; housing conditions; durable asset ownership; water management; characteristics of water containers; knowledge, attitudes, and practices (KAP) regarding climate change and dengue; and climate data were collected. Household crowding index (HCI), premise condition index (PCI), socio-economic status (SES), and entomological indices (HI, CI, BI, and PI) were calculated. Negative binomial generalized linear models (GLMs) were fitted to identify the risk factors associated with the abundance of adult females and immature Ae. aegypti. Urban sites had higher entomological indices and numbers of adult Ae. aegypti mosquitoes than rural sites. Overall, participants’ KAP about climate change and dengue were low in both settings. The fitted GLM showed that a higher abundance of adult female Ae. aegypti was significantly (p < 0.05) associated with many factors, such as a low education level of household respondents, crowded households, poor premise conditions, surrounding house density, bathrooms located indoors, unscreened windows, high numbers of wet containers, a lack of adult control, prior dengue infections, poor climate change adaptation, dengue, and vector-related practices. Many of the above were also significantly associated with a high abundance of immature mosquito stages. The GLM model also showed that maximum and mean temperature with four-and one-to-two weeks of lag were significant predictors (p < 0.05) of the abundance of adult and immature mosquitoes, respectively, in northeastern Thailand. The low KAP regarding climate change and dengue highlights the engagement needs for vector-borne disease prevention in this region. The identified risk factors are important for the critical first step toward developing routine Aedes surveillance and reliable early warning systems for effective dengue and other mosquito-borne disease prevention and control strategies at the household and community levels in this region and similar settings elsewhere.
Increasing summer temperatures in a warming climate will increase the exposure of the UK population to heat-stress and associated heat-related mortality. Urban inhabitants are particularly at risk, as urban areas are often significantly warmer than rural areas as a result of the urban heat island phenomenon. The latest UK Climate Projections include an ensemble of convection-permitting model (CPM) simulations which provide credible climate information at the city-scale, the first of their kind for national climate scenarios. Using a newly developed urban signal extraction technique, we quantify the urban influence on present-day (1981-2000) and future (2061-2080) temperature extremes in the CPM compared to the coarser resolution regional climate model (RCM) simulations over UK cities. We find that the urban influence in these models is markedly different, with the magnitude of night-time urban heat islands overestimated in the RCM, significantly for the warmest nights (up to 4 degrees C), while the CPM agrees much better with observations. This improvement is driven by the improved land-surface representation and more sophisticated urban scheme MORUSES employed by the CPM, which distinguishes street canyons and roofs. In future, there is a strong amplification of the urban influence in the RCM, whilst there is little change in the CPM. We find that future changes in soil moisture play an important role in the magnitude of the urban influence, highlighting the importance of the accurate representation of land-surface and hydrological processes for urban heat island studies. The results indicate that the CPM provides more reliable urban temperature projections, due at least in part to the improved urban scheme.
Climate change is a threat to food security. Wild-harvested food plants (WFPs) are important for the diets of millions of people and contribute to food security, especially in rural and low-income communities, but little is known about climate change risk to WFPs. Using species distribution models, we examined climate change risk to 1190 WFP species used by 19 native language groups in southern Africa. We project that 60% of species will experience an increase (40% a decrease) in range extent within southern Africa by 2060-2080 under a low warming scenario (Representative Concentration Pathway (RCP) 2.6), while range reductions for 66% of species are projected under a high warming scenario (RCP 8.5). Decreases in geographic range are projected for > 70% of WFP species traditionally used by some language groups. Loss of suitable climatic conditions is projected to decrease WFP species richness most in north-eastern southern Africa-with losses of > 200 species-while increases in species richness are projected in the south and east of South Africa. Availability of WFP species for food security during lean times is also projected to change. In south-eastern South Africa, local diversity of WFPs is projected to increase, while maize and sorghum yields decrease. However, this potential WFP nutritional safety net may be lost in central parts of the region, where declines in both crop yield and WFPs are projected. By looking beyond conventional crops to the exceptional diversity of WFPs, this research helps understanding linkages between WFPs, traditional knowledge, food security and climate change adaptation.
Mountain ecosystems are considered vulnerable to early impacts of climate change. Whether and how local residents of these areas perceive these changes, however, remain under-studied questions. By conducting a household survey in the Khumbu region of Nepal, this study assessed local residents’ experience-based perception of changes in climate trends and patterns, perceived risk, and attitudes towards climate issues. Multivariate cluster analysis based on residents’ climate change beliefs revealed three segments: “Cautious,” “Disengaged,” and “Alarmed.” A comparison of these segments along key psychosocial constructs of Protection Motivation Theory (PMT) revealed significant inter-segment differences in residents’ perception of severity, vulnerability, response efficacy, self-efficacy, and response cost associated with engaging in mitigating behavior. Results shed light on how residents of high elevation areas that are considered to be exposed to early impacts of climate change perceive the risk and intend to respond. These findings could also assist stakeholders working in other similar mountain ecosystems in understanding vulnerability and in working towards climate readiness.
In this project we consider the ways that different livelihood strategies impact the climate-health linkage. Specifically, we build on knowledge of livestock mobility in the Sahel and use remotely sensed-based measures of waterholes with health survey data to investigate the linkages between child health outcomes related to food security. We focus on the landscape characteristics relevant to limitedly studied, but highly climate-vulnerable populations, pastoralists and agro-pastoralists in the Sahel. We combine remotely sensed-based data on surface waterholes and spatially referenced health survey data and use flexible regression modeling techniques to uncover the quantitative relationship between waterhole depth and a child’s height-for-age z-score (HAZ). The results suggest that the water depth level of nearby waterholes does indeed impact a child’s HAZ, even after accounting for other environmental factors. This relationship is impacted, however, by the livelihood practices of the area as well as by the source of household drinking water.
We examine the relationships between climatic conditions, breastfeeding behavior, and maternal time use in Ethiopia. Infant feeding practices are important predictors of child nutrition that may be affected by a number of factors including mother’s time engaging in agricultural labor, food security, cultural beliefs, and antenatal care. We use panel data from the Living Standards Measurement Study to investigate linkages between climatic conditions during a child’s first year of life and year prior to birth and duration of exclusive breastfeeding. We then explore one potential mechanism: women’s agricultural labor. Results indicate that rainfall during the primary agricultural season-kiremt-in a child’s first year of life plays an important role in duration of exclusive breastfeeding. Experiencing 25 cm of average monthly kiremt rainfall, versus 5 cm, is associated with a 20-percentage-point decrease in the likelihood of being exclusively breastfed for the recommended six months. More kiremt rainfall is associated with a greater number of days that women spend planting and harvesting, and at high levels of rainfall women with infants do not engage in significantly fewer days of agricultural labor than those without infants. Lastly, we find that during the year before birth, greater rainfall during kiremt as well as the dry season is associated with a lower likelihood of six months of exclusive breastfeeding, potentially due to the early introduction of complementary foods. Our findings indicate that agricultural labor demands may in part drive breastfeeding behaviors, leading to “sub-optimal” feeding practices in the short-term, but resulting in improved household food security in the longer-term.
BACKGROUND: Rural health professionals stand at the forefront of community response to climate change, but few studies have assessed their perceptions of the threat. Further, no previous study has compared the opinions of environmental to public health professionals or extensively analyzed the factors related to these experts’ climate beliefs, risk perceptions, and issue prioritization. METHODS: In conjunction with the Montana Climate Assessment’s 2021 Special Report on Climate Change and Human Health, the 479 members of the Montana Public Health Association and Montana Environmental Health Association were surveyed during September-October 2019, with 39% completing the survey. We summarized descriptive data about their perceptions of local climate-related changes and their beliefs that global warming is happening, is mostly human-caused, is a risk to human health, and that their offices and others should take action. We also evaluated which sociodemographic and risk perception factors related to these climate beliefs, risk perceptions, and workplace issue prioritization. RESULTS: Health professionals in Montana, a politically conservative state, demonstrated high levels of awareness that global warming is happening, human-caused, and a threat to human health, well above reported rates of public concern. Eighty-eight percent said that global warming is occurring and 69% that it is mostly anthropogenic. Sixty-nine percent said that their own health was already affected by climate, and 86% said they were already seeing at least one climate change-related event in their communities. Seventy-two percent said that their departments should be preparing to deal with climate change’s health effects, but just 30% said that it is currently happening. We found no statistically significant differences between Montana environmental health and public health professionals in regression models predicting climate beliefs, risk perception, and prioritization. As in studies of the public, political ideology and the observation of local climate-related changes were the strongest factors. CONCLUSIONS: Montana environmental and public health officials said that departmental action was needed on climate change, indicating the readiness of rural health professionals to take action. Further studies of health professionals in rural regions are warranted.
Climate change has been linked to poor childhood growth and development through maternal stress, nutritional insults related to lean harvests, and exposure to infectious diseases. Vulnerable populations are often most susceptible to these stressors. This study tested whether susceptibility to linear growth faltering is higher among Peruvian children from indigenous, rural, low-education, and low-income households. High-resolution weather and household survey data from Demographic and Health Survey 1996-2012 were used to explore height-for-age z-scores (HAZ) at each year of life from 0 to 5. Rural, indigenous children at age 0-1 experience a HAZ reduction of 0.35 units associated with prenatal excess rainfall which is also observed at age 4-5. Urban, non-indigenous children at age 4-5 experience a HAZ increase of 0.07 units associated with postnatal excess rainfall, but this advantage is not seen among rural, indigenous children. These findings highlight the need to consider developmental stage and social predictors as key components in public health interventions targeting increased climate change resilience.
Climate change is predicted to adversely affect agricultural yields, particularly in African countries such as Ethiopia, where crop production relies heavily on environmental factors such as rainfall and temperature. However, there have only been a limited number of studies on the effects of climate change dynamics on food security in Africa, particularly at the household level. We therefore analyzed local climatic changes, the status of household food security, climate-related causes of food insecurity, food security determinants, and the adaptation strategies of local farmers. Three decades meteorological data were analyzed. A total of 185 farmers were selected using simple random sampling and interviewed, together with focus groups. Data were analyzed using the descriptive and inferential statistics were used together with the logit regression model. Climate change over the last three decades was found to have a negative impact the food security status of households. Crop production was constrained by poor rainfall, severe erosion, and increases in temperature. The unpredictability of rainfall, pests, and diseases were also contributing factors. Using the calorie intake approach, 60.5% of sampled respondents were found to be food insecure. Analysis using the logistic regression model showed that age and family size, as well as the amount of cultivated land and rainfall, were the significant (p < .05) factors influencing household food security status. A large proportion (69.8%) of farmers were incorporating adapting strategies into farm management including improved use of crop varieties and livestock production, in addition to income diversification. Taken together, these findings show that improving climate change awareness, facilitating the participation of female-led households in income generation, and strengthening existing adaptation measures have positive impacts on food security.
Health determinants might play an important role in shaping the impacts related to long-term disasters such as droughts. Understanding their distribution in populated dry regions may help to map vulnerabilities and set coping strategies for current and future threats to human health. The aim of the study was to identify the most vulnerable municipalities of the Brazilian semiarid region when it comes to the relationship between drought, health, and their determinants using a multidimensional index. From a place-based framework, epidemiological, socio-economic, rural, and health infrastructure data were obtained for 1135 municipalities in the Brazilian semiarid region. An exploratory factor analysis was used to reduce 32 variables to four independent factors and compute a Health Vulnerability Index. The health vulnerability was modulated by social determinants, rural characteristics, and access to water in this semiarid region. There was a clear distinction between municipalities with the highest human welfare and economic development and those municipalities with the worst living conditions and health status. Spatial patterns showed a cluster of the most vulnerable municipalities in the western, eastern, and northeastern portions of the semiarid region. The spatial visualization of the associated vulnerabilities supports decision making on health promotion policies that should focus on reducing social inequality. In addition, policymakers are presented with a simple tool to identify populations or areas with the worst socioeconomic and health conditions, which can facilitate the targeting of actions and resources on a more equitable basis. Further, the results contribute to the understanding of social determinants that may be related to medium- and long-term health outcomes in the region.
BACKGROUND: Climate change influences patterns of human mobility and health outcomes. While much of the climate change and migration discourse is invested in quantitative predictions and debates about whether migration is adaptive or maladaptive, less attention has been paid to the voices of the people moving in the context of climate change with a focus on their health and wellbeing. This qualitative research aims to amplify the voices of migrants themselves to add nuance to dominant migration narratives and to shed light on the real-life challenges migrants face in meeting their health needs in the context of climate change. METHODS: We conducted 58 semi-structured in-depth interviews with migrants purposefully selected for having moved from rural Bhola, southern Bangladesh to an urban slum in Dhaka, Bangladesh. Transcripts were analysed using thematic analysis under the philosophical underpinnings of phenomenology. Coding was conducted using NVivo Pro 12. FINDINGS: We identified two overarching themes in the thematic analysis: Firstly, we identified the theme “A risk exchange: Exchanging climate change and health risks at origin and destination”. Rather than describing a “net positive” or “net negative” outcome in terms of migration in the context of climate change, migrants described an exchange of hazards, exposures, and vulnerabilities at origin with those at destination, which challenged their capacity to adapt. This theme included several sub-themes-income and employment factors, changing food environment, shelter and water sanitation and hygiene (WaSH) conditions, and social capital. The second overarching theme was “A changing health and healthcare environment”. This theme also included several sub-themes-changing physical and mental health status and a changing healthcare environment encompassing quality of care and barriers to accessing healthcare. Migrants described physical and mental health concerns and connected these experiences with their new environment. These two overarching themes were prevalent across the dataset, although each participant experienced and expressed them uniquely. CONCLUSION: Migrants who move in the context of climate change face a range of diverse health risks at the origin, en route, and at the destination. Migrating individuals, households, and communities undertake a risk exchange when they decide to move, which has diverse positive and negative consequences for their health and wellbeing. Along with changing health determinants is a changing healthcare environment where migrants face different choices, barriers, and quality of care. A more migrant-centric perspective as described in this paper could strengthen migration, climate, and health governance. Policymakers, urban planners, city corporations, and health practitioners should integrate the risk exchange into practice and policies.
Variable climate conditions, resulting in periods of water scarcity and longer dry spells, or intense rainfall events, have serious implications for water and sanitation services. Climate change threatens to exacerbate these hazards, increasing risks to household water security, and associated impacts on health, wellbeing and livelihoods. These risks are not evenly distributed across individuals and communities, and there is a particular need to understand women’s vulnerabilities and responses to these risks due to disproportionate impacts of poor water and sanitation conditions. This study used mixed-methods data collection to assess how vulnerabilities to climate-related risks to household water security are produced and vary among women in the Centre-East region, Burkina Faso, as well as capacities to respond. Gendered water-related roles and norms were found to drive vulnerabilities for women in the case study site particularly related to increasingly inadequate water availability during the dry season. Other social differences such as Mossi and Peul ethnicity which influence ways of using water, also contributed to women’s differential vulnerability and capacities to respond. These findings show there is a need to consider how the development of ‘climate resilient’ water and sanitation services take social drivers of vulnerability into account.
Existing efforts to ensure safe water access in coastal Bangladesh are challenged by increasing freshwater salinity. This research explored/explores safe water consumption choices in coastal Bangladesh, which data are scarce to date, using a mixed-methods approach. In 2014, a cross-sectional survey was conducted in southwestern coastal Bangladesh (n=261) and data was generated on water supply and consumption. Data collection also involved 29 in-depth interviews of household care givers and focus group discussions were performed with three community groups. Descriptive statistics were applied to analyse quantitative data and thematic analysis was used for qualitative data. The survey showed that 60% of the study population used tube well water while 40% used pond water for drinking. It was observed that for cooking purposes, the use of pond water was slightly higher than the tube well water. Only 13% of the respondents mentioned that their drinking water tasted salty whereas 6% of the respondents reported health problem (diarrhoea, dysentery, gastric issues and skin problems) after using these water sources. The qualitative data reveals that water available for drinking and cooking is causing a serious threat to this coastal community, particularly during the dry season. In-depth assessments indicated that drinking water choices were less driven by concerns for health than practical issues such as travel distance and time taken and taste. The palatability of water was an important determinant of choice for drinking and other domestic uses. Furthermore, the utility of alternative options for safe drinking water is driven by beliefs and traditions and source maintenance. Given the increasing salinisation of freshwaters in many low-lying countries and likely exacerbation related to climate change-induced sea level rise, therefore, promotion of low saline drinking water along with salt reducing interventions consider that community beliefs and practices must be a made priority.
OBJECTIVES: The objective of this study is to describe an important waterborne outbreak of gastrointestinal illness observed in a rural municipality of Quebec. METHODS: A population-based retrospective cohort study was conducted to identify risk factors associated with acute gastroenteritis. Indirect surveillance data were used to estimate the extent and the resolution of the epidemic. RESULTS: The cohort consisted of 140 randomly selected individuals of whom 22 met the illness case definition (15.7% attack rate). The epidemic curve was similar to the evolution of antidiarrheal products sold by the only pharmacy in town and calls made to the Health Info Line. Bivariate analysis led to identifying five risk factors of gastrointestinal illness: consumption of municipal water, contact with someone with acute gastroenteritis (within and outside of the household), contact with a child in daycare, and being less than 35 years of age. Drinking municipal water had the highest risk ratio (RR?=?24.31; 95% CI?=?1.50-393.4). Drinking water from a private artesian well was a protective factor (RR?=?0.28; 95% CI?=?0.09-0.90). CONCLUSION: This study highlighted that managing the risks associated with the consumption of untreated drinking water remains an important public health challenge, particularly in small rural municipalities vulnerable to climate variability.
As global temperatures continue to rise it is imperative to understand the adverse effects this will pose to workers laboring outdoors. The purpose of this study was to investigate the relationship between increases in wet bulb globe temperature (WBGT) and risk of occupational injury or dehydration among agricultural workers. We used data collected by an agribusiness in Southwest Guatemala over the course of four harvest seasons and Poisson generalized linear modelling for this analysis. Our analyses suggest a 3% increase in recorded injury risk with each degree increase in daily average WBGT above 30 °C (95% CI: -6%, 14%). Additionally, these data suggest that the relationship between WBGT and injury risk is non-linear with an additional 4% acceleration in risk for every degree increase in WBGT above 30 °C (95% CI: 0%, 8%). No relationship was found between daily average WBGT and risk of dehydration. Our results indicate that agricultural workers are at an increased risk of occupational injury in humid and hot environments and that businesses need to plan and adapt to increasing global temperatures by implementing and evaluating effective occupational safety and health programs to protect the health, safety, and well-being of their workers.
INTRODUCTION: To investigate total annual precipitation, precipitation anomaly and aridity index in relation to linear growth in children under 5 in Uganda and quantify the mediating role of crop yield. METHODS: We analysed data of 5219 children under 5 years of age who participated in the 2016 Uganda Demographic and Health Survey. Annual crop yield in kilograms per hectare for 42 crops at a 0.1° (~10 km at the equator) spatial resolution square grid was obtained from the International Food Policy Research Institute. Normalised rainfall anomaly and total precipitation were derived from the African Rainfall Estimation Algorithm Version 2 product. Linear regression models were used to associate total annual precipitation and anomalies with height-for-age z-scores and to explore the mediating role of crop yield qualitatively. The intervening effects were quantitatively estimated by causal mediation models. RESULTS: Twenty-nine per cent of children were stunted (95% CI 28% to 31%). After adjusting for major covariates, higher total annual precipitation was significantly associated with increasing height-for-age z-scores. At the mean, an increase of 1 standard deviation in local annual rainfall was associated with a 0.07-point higher z-score. Aridity index and precipitation anomaly were not associated with height-for-age z scores in altitude-adjusted models. Crop yields of nuts, seeds, cereals and pulses were significant mediating factors. For instance, 38% of the association between total annual precipitation with height-for-age z-scores can be attributed to the yield of sesame seeds. CONCLUSIONS: Higher total annual precipitation at the village-level was significantly associated with higher height-for-age z-scores among children in Uganda. This association can be partially explained by higher crop yield, especially from seeds and nuts. This study suggests that more attention should be paid to villages with lower annual rainfall amounts to improve water availability for agriculture.
Nitrogen dioxide (NO(2)) is an air pollutant discharged from combustion of human activities. Nitrous acid (HONO), measured as NO(2), is thought to impact respiratory function more than NO(2). HONO and NO(2) have an equilibrium relationship, and their reaction is affected by climate conditions. This study was conducted to discuss the extent of HONO contained in NO(2), depending on the level of urbanization. Whether climate conditions that promote HONO production enhanced the level of NO(2) measured was investigated using time series analysis. Climate and outdoor air pollution data measured in April 2009-March 2017 in urban (Tokyo, Osaka, and Aichi) and rural (Yamanashi) areas in Japan were used for the analysis. Air temperature had a trend of negative associations with NO(2), which might indicate the decomposition of HONO in the equilibrium between HONO and NO(2). The associations of relative humidity with NO(2) did not have consistent trends by prefecture: humidity only in Yamanashi was positively associated with NO(2). In high relative humidity conditions, the equilibrium goes towards HONO production, which was observed in Yamanashi, suggesting the proportion of HONO in NO(2) might be low/high in urban/rural areas.
In recent decades, the nutritional transition has been encroaching on remote rural areas of developing countries where feeding patterns are shifting from unprocessed foods to industrialized processed goods. Such changes in the Amazon region have been detected, for instance, by comparing the natural carbon (C-13:C-12) and nitrogen (N-15:N-14) isotopic ratios of people living in riverine communities with urban dwellers their putative diet. In this study, we considered how landscape variables impacted food consumption by comparing fingernail isotopic ratios of individuals in the rural settlement of Costa do Caldeirao located in the floodplain (varzea) of the Solimoes River, and in the rural settlement of Paquequer located in a non-flooded area (terra-firme) near the Madeira River banks. A total of 70 fingernails were sampled for carbon and nitrogen isotopic analysis during the low water period and again during the high water period from the same residents of the varzea and terra-firme. The consumption of C-4-like resources (e.g., frozen chicken and canned meat) increased in both rural settlements during the high water period when C-3-like resources (fish, cassava, rice, beans) are less available due to the flooding of lowland areas, but this difference was more pronounced in the terra-firme. The higher consumption of C-4-like resources in the varzea compared to the terra-firme shows how seasonal flooding is a key factor influencing food security and health, due to stark variations in river water levels. While fish and farinha are still important staple foods, differences within rural settlements suggest that, besides seasonal variation and changes in water levels, other factors such as age, origin, and income may be crucial to understanding individual dietary behavior change in line with the nutritional transition model.
Levees protect floodplain areas from frequent flooding, but they can paradoxically contribute to more severe flood losses. The construction or reinforcement of levees can attract more assets and people in flood-prone area, thereby increasing the potential flood damage when levees eventually fail. Moreover, structural protection measures can generate a sense of complacency, which can reduce preparedness, thereby increasing flood mortality rates. We explore these phenomena in the Jamuna River floodplain in Bangladesh. In this study area, different levels of flood protection have co-existed alongside each other since the 1960s, with a levee being constructed only on the right bank and its maintenance being assured only in certain places. Primary and secondary data on population density, human settlements, and flood fatalities were collected to carry out a comparative analysis of two urban areas and two rural areas with different flood protection levels. We found that the higher the level of flood protection, the higher the increase of population density over the past decades as well as the number of assets exposed to flooding. Our results also show that flood mortality rates associated with the 2017 flooding in Bangladesh were lower in the areas with lower protection level. This empirical analysis of the unintended consequences of structural flood protection is relevant for the making of sustainable policies of disaster risk reduction and adaptation to climate change in rapidly changing environments.
Recent literature provides evidence that income shocks early in life can have long-run consequences on adult welfare. Rural Brazil frequently suffers from rainfall variations that negatively impact vulnerable households, who often lack the means for coping with these events. This paper evaluates how early-life rainfall shocks influence adult health and socioeconomic outcomes in Brazil. We find evidence that several critical periods can produce long-run consequences. Using rainfall deviations, our two most robust results are that greater rainfall in utero negatively impacts adult incomes (finding that a one standard deviation increase in rainfall causes adult incomes to fall by 7-10 percent) and that greater rainfall in the second and third years of life improve adult health (increasing body mass index by 0.16). However, our results depend crucially on our choices regarding two features. First, our results differ across two common measures of critical periods, which are used to define shocks relative to the timing of one’s birth. Second, the way rainfall variation is measured also matters, with use of an extreme weather indicator suggesting heterogeneous effects by gender, with extreme weather negatively impacting women’s health (both before and after birth) but positively affecting several men’s outcomes (both before and after birth). We find some evidence that mortality selection may drive some of these results. This paper provides further evidence that early-life shocks (from in utero through the third year of life) can cause long-run consequences, but also suggests that more attention should be paid to the specific measurement and timing of rainfall shocks.
Drought is a major challenge threatening agricultural productivity in uMsinga. The occurrence of drought is expected to increase in coming decades, intensifying in severity, duration and the way people are affected by drought. The objective of this study is to understand small-scale farmers’ and rural communities’ perceptions of drought, its environmental and socio-economic impacts, adaptive and mitigation measures at household level and their satisfaction with the government’s role in drought management in the community. The study utilized a combination of quantitative and qualitative research methods, in the form of questionnaires, focus groups and key informant interviews. The sample size for the research study was 180 respondents for the questionnaire component and a total of 30 respondents for the focus groups and key informant interviews. The results show that increased levels of poverty, food insecurity and increased migration were the main socio-economic impacts perceived by respondents. Water scarcity, crop failure, forest degradation and an increase in average temperatures were perceived by respondents as the main environmental impacts caused by drought in uMsinga. Respondents perceived drought as a serious threat to agricultural production and adopted various indigenous adaptive strategies. A majority of respondents adopted a reactive approach to drought management, and therefore did not adopt many mitigation measures.
Globally, studies have shown that diurnal changes in weather conditions and extreme weather events have a profound effect on mortality. Here, we assessed the effect of apparent temperature on all-cause mortality and the modifying effect of sex on the apparent temperature-mortality relationship using mortality and weather data archived over an eleven-year period. An overdispersed Poisson regression and distributed lag nonlinear models were used for this analysis. With these models, we analysed the relative risk of mortality at different temperature values over a 10-day lag period. By and large, we observed a nonlinear association between mean daily apparent temperature and all-cause mortality. An assessment of different temperature values over a 10-day lag period showed an increased risk of death at the lowest apparent temperature (18°C) from lag 2 to 4 with the highest relative risk of mortality (RR?=?1.61, 95% CI: 1.2, 2.15, p value?=?0.001) occurring three days after exposure. The relative risk of death also varied between males (RR?=?0.31, 95% CI: 0.10, 0.94) and females (RR?=?4.88, 95% CI: 1.40, 16.99) by apparent temperature and lag. On the whole, males are sensitive to both temperature extremes whilst females are more vulnerable to low temperature-related mortality. Accordingly, our findings could inform efforts at reducing temperature-related mortality in this context and other settings with similar environmental and demographic characteristics.
Exposure to extreme climate events causes population displacement and adversely affects the health of mothers and children in multiple ways. This paper investigates the effects of displacement on whether a child is delivered at a health center, as opposed to at home, and on postnatal care service utilization in Bangladesh. Using cross-sectional survey data from 599 mothers who gave birth in the three years prior to the date of interview, including 278 from households which had previously been displaced and 231 from households which had not been displaced, we use multivariate logistic regression to identify the factors associated with maternal healthcare service utilization. The results show that displaced households’ mothers are only about a quarter as likely to deliver at a health center as mothers from non-displaced households. The use of health center-based delivery decreases as the numbers of past displacements increases. Higher number of previous children, lower use of antenatal care during pregnancy, lower household income, and lack of access to radio/television also significantly reduce a mother’s likelihood of delivery at a health center. Displaced mothers are also substantially less likely to use postnatal care services for their neonates, especially those supplied by trained providers. Use of health facilities for delivery, use of antenatal care services, and previous number of children are other important predictors of postnatal care service utilization for neonates. In light of these findings, relocation of local health facilities with basic and emergency care provisions to areas in which the displaced have resettled, reinforcement of Family Planning services, and extension of coverage of the Maternity Allowance benefits in the displacement-prone mainland riverine areas are recommended policy responses.
This paper investigates the effects of prenatal exposure to extreme temperatures on birth outcomes-specifically, the log of birth weight and an indicator for low birth weight-using a nationally representative dataset on rural China. During the time period we examine (1991-2000), indoor air conditioning was not widely available and migration was limited, allowing us to address identification issues endemic in the climate change literature related to adaptation and location sorting. We find substantial heterogeneity in the effects of extreme temperature exposure on birth outcomes. In particular, prenatal exposure to heat waves has stronger negative effects than exposure to cold spells on surviving births.
During the 2012-2016 drought in La Guajira, Colombia, child mortality rates rose to 23.4 out of 1000. Most of these children belonged to the Wayuu indigenous community, the largest and one of the most vulnerable in Colombia. At the municipal level, this study found a significant positive correlation between the average child mortality rate and households with a monthly income of less than USD 100, the number of people without access to health insurance, being part of the indigenous population, being illiterate, lacking sewage systems, living in rural areas, and large households with members younger than 5 years old and older than 65 years old. No correlation was found with households without access to a water source. The stepwise regression analysis showed that households with a monthly income of less than USD 100, no members older than 65 years old, but several children younger than 5 years old, account for 90.4% of the child mortality rate. This study concludes that, if inhabitants had had better incomes or assets, as well as an adequate infrastructure, they could have faced the drought without the observed increase in child mortality.
Vulnerability to environmental hazards has widely been assessed in disaster risk science and climate change literature by integrating socio-economic and geographical features of a community or a place. However, the role of spatial proximity to cities – an important geographical feature – in influencing household vulnerability has not been scrutinized. This paper assesses how distance to cities affects the vulnerability of rural farming communities against flood hazard. This paper proposes a Vulnerability-Proximity Nexus (VPN) framework and operationalises it in the context of Pakistan. A household survey was conducted to collect primary data from three flood-affected sub-districts of Punjab province. A total of 325 samples were collected, out of which 164 samples were from villages located near to the cities and 161 were far from the cities. Vulnerability indices were developed through holistic (exposure, susceptibility, and capacity) and livelihood (human, social, financial, physical, and natural) perspective of vulnerability. Mann-Whitney U and Pearson’s correlation tests were performed to analyse linkages between distance and vulnerability. Results confirmed that the distance to the cities influences the vulnerability of surrounding farming communities. A significant and positive correlation between distance to city and rural livelihood vulnerability was found. Rural farming communities living close to the cities were less vulnerable, mainly due to better transfer of services and facilities from cities, which has also made rural communities more educated, informed, financially strong, and connected with easier access to public and private institutions. This study highlights the importance of regional and rural development discourse for vulnerability and can help disaster managers and planners to establish synergies for designing effective disaster risk reduction policies and strategies.
INTRODUCTION: This study aims to determine the association between temperature and preeclampsia and whether it is affected by seasonality and rural/urban lifestyle. METHODS: This cohort study included women who delivered at our medical center from 2004 to 2013 (31,101 women, 64,566 deliveries). Temperature values were obtained from a spatiotemporally resolved estimation model performing predictions at a 1×1km spatial resolution. In “Warm” pregnancies >50% of gestation occurred during the spring-summer period. In cold pregnancies >50% of gestation occurred during the fall and winter. Generalized estimating equation multivariable models were used to estimate the association between temperature and incidence of preeclampsia. RESULTS: 1) The incidence of preeclampsia in at least one pregnancy was 7% (2173/64,566); 2) during “warm” pregnancies, an elevation of one IQR of the average temperature in the 1st or the 3rd trimesters was associated with an increased risk to develop preeclampsia [patients with Jewish ethnicity: 1st trimester: relative risk (RR) of 2.38(95%CI 1.50; 3.80), 3rd trimester 1.94(95%CI 1.34;2.81); Bedouins: 1st trimester: RR = 2.91(95%CI 1.98;4.28), 3rd trimester: RR = 2.37(95%CI 1.75;3.20)]; 3) In “cold” pregnancies, an elevation of one IQR of average temperature was associated with a lower risk to develop preeclampsia among patients with Bedouin-Arab ethnicity RR = 0.68 (95% CI 0.49-0.94) for 1st trimester and RR = 0.62 (95% CI 0.44-0.87) for 3rd trimester. CONCLUSIONS: 1) Elevated averaged temperature during the 1st or 3rd trimesters in “warm” pregnancies confer an increased risk for the development of preeclampsia, especially in nomadic patients; 2) Of interest, during cold pregnancies, elevated averaged temperature was associated with a lower risk to develop preeclampsia for nomadic patients. 3) These findings suggest temperature might be associated with perturbations in maternal heat homeostasis resulting in reallocation of energy resources and their availability to the fetus that may increase the risk for preeclampsia. This observation is especially relevant in the context of global warming and its effects on maternal/fetal reproductive health.
This paper examines the relationship between weather conditions and child nutrition in Ethiopia. We link data from four rounds of the Ethiopia Demographic and Health Survey to high-resolution climate data to measure exposure to rainfall and temperature in utero and during early life. We then estimate a set of multivariate regression models to understand how weather conditions impact child stunting, an indicator of sustained early life undernutrition. We find that greater rainfall during the rainy seasons in early life is associated with greater height for age. In addition, higher temperatures in utero, particularly during the first and third trimesters, and more rainfall during the third trimester, are positively associated with severe stunting, though stunting decreases with temperature in early life. We find potential evidence for a number of pathways underlying the weather-child nutrition relationship including agricultural livelihoods, heat stress, infectious disease transmission, and women’s time use during pregnancy. These findings illuminate the complex pathways through which climate change may influence child health and should motivate additional research focused on identifying the causal mechanisms underlying these links.
The present study is a pilot study to examine the initial effectiveness of the Support for Students Exposed to Trauma (SSET) program (Jaycox et al. in Support for Students Exposed to Trauma: the SSET program. Lesson plans, worksheets, and materials. TR-675, RAND, Santa Monica, CA, 2009) in reducing PTSD symptoms and building resilience and social support among children living in flood-affected rural areas of Southern Punjab, Pakistan. One hundred and ninety-three children were screened for symptoms of post-traumatic stress, and 38% met eligibility criteria. Children were then randomly assigned into experimental (n = 38) and control (n = 37) groups. The findings of the study showed a significant reduction in PTSD symptoms, and improvement in resilience, and perceived social support in the experimental group. The result of the study demonstrates that SSET, delivered by a clinically trained provider, may be an effective intervention for treating traumatic stress symptoms among children affected by natural disasters like flooding, particularly in under-resourced contexts. This pilot lays the initial groundwork for SSET in this context, which may ultimately be implemented by non-clinicians to address trauma-related psychological issues.
Urban heat islands (UHIs) can present significant risks to human health. Santiago, Chile has around 7 million residents, concentrated in an average density of 480 people/km(2). During the last few summer seasons, the highest extreme maximum temperatures in over 100 years have been recorded. Given the projections in temperature increase for this metropolitan region over the next 50 years, the Santiago UHI could have an important impact on the health and stress of the general population. We studied the presence and spatial variability of UHIs in Santiago during the summer seasons from 2005 to 2017 using Moderate Resolution Imaging Spectroradiometer (MODIS) satellite imagery and data from nine meteorological stations. Simple regression models, geographic weighted regression (GWR) models and geostatistical interpolations were used to find nocturnal thermal differences in UHIs of up to 9 degrees C, as well as increases in the magnitude and extension of the daytime heat island from summer 2014 to 2017. Understanding the behavior of the UHI of Santiago, Chile, is important for urban planners and local decision makers. Additionally, understanding the spatial pattern of the UHI could improve knowledge about how urban areas experience and could mitigate climate change.
INTRODUCTION: Resilient health systems have the capacity to continue providing health services to meet the community’s diverse health needs following floods. This capacity is related to how the community manages its own health needs and the community and health system’s joined capacities for resilience. Yet little is known about how community participation influences health systems resilience. The purpose of this study was to understand how community management of pregnancy and childbirth care during floods is contributing to the system’s capacity to absorb, adapt or transform as viewed through a framework on health systems resilience. METHODS: Eight focus group discussions and 17 semi-structured interviews were conducted with community members and leaders who experienced pregnancy or childbirth during recent flooding in rural Cambodia. The data were analysed by thematic analysis and discussed in relation to the resilience framework. RESULTS: The theme ‘Responsible for the status quo’ reflected the community’s responsibility to find ways to manage pregnancy and childbirth care, when neither the expectations of the health system nor the available benefits changed during floods. The theme was informed by notions on: i) developmental changes, the unpredictable nature of floods and limited support for managing care, ii) how information promoted by the public health system led to a limited decision-making space for pregnancy and childbirth care, iii) a desire for security during floods that outweighed mistrust in the public health system and iv) the limits to the coping strategies that the community prepared in case of flooding. CONCLUSIONS: The community mainly employed absorptive strategies to manage their care during floods, relieving the burden on the health system, yet restricted support and decision-making may risk their capacity. Further involvement in decision-making for care could help improve the health system’s resilience by creating room for the community to adapt and transform when experiencing floods.
We describe factors related to the social vulnerability of populations that experienced major river flooding in northern New South Wales (NSW), Australia. Using geographical information system methods, maps of 2017 flood-affected areas in the Lismore and Murwillumbah regions were combined with 2016 National census data to compare aspects of social vulnerability with the wider region and the region with Sydney. We also used individual-level data from the NSW 45 and Up Study to compare lifestyle, behavioural and health characteristics of residents of these flood-affected areas with the broader region (n = 13,561). Populations living in the Lismore Town Centre flood footprint exhibited significantly higher levels of social vulnerability over a range of factors; in particular, almost 82% resided in the most disadvantaged socio-economic quintile neighbourhoods. The flood-affected areas of Murwillumbah and Lismore regions included 47% and 60% of residents in the most disadvantaged quintile neighbourhoods compared to 27% for whole region and 16% for Sydney. This pattern of increased vulnerability was also apparent from the 45 and Up study; participants residing in the Lismore Town Centre flood footprint had significantly higher rates of riskier lifestyle-related behaviours (smoking, alcohol consumption), pre-existing mental health conditions (depression and anxiety) and poorer health. This detailed case study demonstrates extreme local vulnerability of flood-exposed populations, over and above the already highly vulnerable regional rural populations. This information is important to inform disaster planning and response and also reinforces the importance of having a detailed understanding of affected populations.
BACKGROUND: Protein and some minerals of rice seed are negatively affected by projected carbon dioxide (CO(2) ) levels. However, an in-depth assessment of rice quality that encompasses both CO(2) and temperature for a wide range of nutritional parameters is not available. Using a free-air CO(2) enrichment facility with temperature control, we conducted a field experiment with two levels of CO(2) (ambient; ambient?+?200?ppm) and two levels of temperature (ambient; ambient?+?1.5 °C). An in-depth examination of qualitative factors indicated a variable nutritional response. RESULTS: For total protein, albumin, glutelin, and prolamin, elevated CO(2) reduced seed concentrations irrespective of temperature. Similarly, several amino acids declined further as a function of higher temperature and elevated CO(2) relative to elevated CO(2) alone. Higher temperature increased the lipid percentage of seed; however, elevated CO(2) reduced the overall lipid content. At the nutrient elements level, whereas elevated CO(2) reduced certain elements, a combination of CO(2) and temperature could compensate for CO(2) reductions but was element dependent. CONCLUSION: Overall, these data are, at present, the most detailed analysis of rising CO(2) /temperature on the qualitative characteristics of rice. They indicate that climate change is likely to significantly impact the nutritional integrity of rice, with subsequent changes in human health on a global basis. © 2020 Society of Chemical Industry.
INTRODUCTION: As the global climate changes, heat waves are having a disproportionate impact on seniors and other socially vulnerable groups. In order to mitigate the threats of extreme heat, it is critical to develop and promote resources for coping during these events. A better understanding of the role of risk perceptions and the factors that influence them is needed in order to improve public responses to threatening events, particularly among seniors. METHODS: This mixed-methods study examined risk perceptions and coping practices in seniors using qualitative interviews (n = 15) and a survey (n = 244) of seniors across Waterloo Region, Ontario. RESULTS: Seniors showed relatively accurate risk tracking as indicated by the link between measures of actual risk and perception of personal risk. While vulnerability to heat is often believed to be associated with inaccurate perceptions of risk, within our sample, vulnerability appears more strongly related to social location and access to resources. Participants described social connections as important resources for resilience, but the stigma surrounding vulnerability, and other social norms, as barriers to seeking support. CONCLUSION: The positive relationship between participants’ risk perceptions and actual risk for negative consequences of extreme heat was an important finding, given that problems of emergency preparedness and risk reduction are often framed as issues of awareness of risk, rather than social location and inequality. Along with increased public resources for coping with extreme heat, communicating about resources, fostering social connections and reducing stigma may be important leverage points for increasing the resiliency of seniors to heat waves.
We combine data from the 2006 and 2011 Uganda Demographic and Health Surveys (UDHS) with rainfall data and two waves of the Ugandan National Household Survey (UNHS) to study patterns in child weight, as measured by weight-for-height z scores (WHZ), among 3492 rural children below age 5 in Uganda. We focus on rainfall as a nutrition driver along agriculture and disease pathways. We find a positive and significant association between crop yield and WHZ, but the magnitude of this association diminishes as we control for covariates, especially the use of productivity-enhancing agricultural inputs. We find diarrheal disease to have a negative and significant association with WHZ, and modifying effects of social and environmental factors along the disease pathway. Contemporaneous rainfall is associated with a lower likelihood of diarrheal disease in areas with excess rainfall and a higher likelihood of diarrheal disease in rainfall deficit areas. Our findings reinforce calls for targeted and situation-sensitive policies to promote child nutrition.
BACKGROUND: Agriculture represents the mainstay of African economies and livestock products are essential to the human population’s nutritional needs. However, in many developing countries, including Ghana, livestock production fails to meet demand due to population growth and negative effects of climate change. One of the challenges to production is livestock loss affecting farmers. However, despite stressful events experienced, livestock farmers’ mental health is poorly documented. This study aims to identify the root causes of livestock losses and their influence on pastoralists’ mental health. METHODS: We conducted a mixed methods study in two districts in the Northern and Southern Belts of Ghana. Using the Depression Anxiety and Stress Scale-21 and guided interviews, we collected quantitative and qualitative data from 287 livestock farmers and 24 key-informants respectively. Mental health scores were categorized using standard guidelines. We evaluated the factors that explained variations in mental wellbeing using general linear models (??=?0.05). RESULTS: About 85% (240/287) of the livestock farmers lost cattle within 1 year. Of these, 91% lost cattle to animal diseases, 50% to theft and 27% to pasture shortages. Qualitative findings reveal that due to poor access to veterinary services, farmers treat livestock diseases themselves with drugs from unregulated sources and often sell diseased cows for meat to recover losses. Findings showed that 60% of livestock farmers had poor mental health. Of those, 72% were depressed, 66% anxious and 59% stressed. Mental wellbeing was negatively associated with the number of adverse events experienced, proportion of livestock lost to most of the major loss factors, emotional attachment to livestock and self-reported physical illnesses in farmers, but positively associated with increasing herd size [F (8,278)?=?14.18, p?
Based on the micro-survey data of rural households in China’s Loess Plateau and Qinba Mountains, this paper empirically examines the poverty reduction effect and mechanism of adaptation to climate change. The research conclusions show that the adaptation actions can significantly reduce the poverty vulnerability of farmers, especially the future incidence of poverty in agricultural or poor households to a greater extent, which is characterized by a “pro-poor” effect. Adaptation actions can reduce poverty from two aspects: decreasing the expected income volatility (loss mitigation effect) and increasing the expected income level (opportunity effect), and the former is stronger than the latter. In the post-2020 period, China should enhance policy support in rural areas to adapt to climate change, improve the resilience of farmers’ livelihoods and climate change resilience of rural areas, and promote sustainable poverty reduction.
Mali aims to reach the pre-elimination stage of malaria by the next decade. This study used functional regression models to predict the incidence of malaria as a function of past meteorological patterns to better prevent and to act proactively against impending malaria outbreaks. All data were collected over a five-year period (2012-2017) from 1400 persons who sought treatment at Dangassa’s community health center. Rainfall, temperature, humidity, and wind speed variables were collected. Functional Generalized Spectral Additive Model (FGSAM), Functional Generalized Linear Model (FGLM), and Functional Generalized Kernel Additive Model (FGKAM) were used to predict malaria incidence as a function of the pattern of meteorological indicators over a continuum of the 18 weeks preceding the week of interest. Their respective outcomes were compared in terms of predictive abilities. The results showed that (1) the highest malaria incidence rate occurred in the village 10 to 12 weeks after we observed a pattern of air humidity levels >65%, combined with two or more consecutive rain episodes and a mean wind speed <1.8 m/s; (2) among the three models, the FGLM obtained the best results in terms of prediction; and (3) FGSAM was shown to be a good compromise between FGLM and FGKAM in terms of flexibility and simplicity. The models showed that some meteorological conditions may provide a basis for detection of future outbreaks of malaria. The models developed in this paper are useful for implementing preventive strategies using past meteorological and past malaria incidence.
Rural, natural resource dependent communities are especially vulnerable to climate change, and their input is critical in developing solutions, but the study of risk perception within and among vulnerable communities remains underdeveloped. Our multi-disciplinary research team used a mixed-methods approach to document, analyze, and conceptualize the interacting factors that shape vulnerability and to explore community members’ perceptions of the role and relative importance of climate change compared to other factors in three rural communities in Ecuador. Economic instability, lack of access to basic services, and environmental degradation are perceived as greater threats to community well being than increasing seasonal variability and flooding. Programs and policies directed at climate change adaptation should integrate climate and non-climate related stressors. Our findings also point to a greater need for collaboration across public health, poverty alleviation, and environmental management fields through practical research targeting assistance to vulnerable populations.
In this study, we applied the Weather Research and Forecasting model to project 2050 urban and rural temperature. We applied a time-stratified analysis to compare it with mortality between 2001 and 2014 and between 2011 and 2014, to estimate the elevated risk of a 2050 heat event. We included change in daytime versus nighttime and urban versus rural temperatures as factors to project mortality, to evaluate the potential influence of climate change on mortality risk. Increases of 2.9 degrees C and 2.6 degrees C in maximum and minimum air temperature are projected in a 2050 heat event, with a day and a night that will have respective temperatures 9.8 degrees C and 4.9 degrees C higher than 2001-2014. Significantly higher mortality risk is forecasted in 2050 compared to 2001-2014 (IRR 1.721 [1.650, 1.796]) and 2011-2014 (IRR 1.622 [1.547, 1.701]) without consideration of temperature change. After consideration of changing temperature, change in maximum temperature in rural areas will induce the highest mortality risk during 2050, possibly due to rapid urbanization across the city, and with the second highest mortality risk induced by the change in minimum temperature in urbanized areas, possibly because local people in the city have been adapted to the maximum level of urban thermal stress during a summer day. Improvements to heat warning systems and sustainable planning protocols are urgently needed for climate change mitigation.
Mountains are characterized by their specificities such as fragility, marginality and remoteness. They are prone to various hazards such as drought, flood, forest fire, landslide and therefore physical, ecological and social systems of the mountains are at risk. Climate change adds to intensifying the magnitude of multi-hazard risk in mountains. The present study attempts to evaluate risk induced by multi-hazard and climate change in the Indian Himalayan Region (IHR) using the Intergovernmental Panel on Climate Change (IPCC) framework. The proposed multi-hazard risk index was based on indicators from a broader domain and applied on 109 administrative districts of IHR. Exposure, sensitivity, adaptive capacity, and coping capacity were defined using comprehensive and sub-regional indicators identified through inductive and deductive approaches. The result showed that the differential risks among the districts of IHR were governed by the multiplicity of the factor such as demography, amenities, natural capital, partnership, technology and spatial specificities of the districts. The result highlighted the need of inclusion of spatial specificities for the risk mitigation in the IHR and therefore a Mountain Specific Risk Management Framework (MSMRMF) was proposed for sustaining the mountainous communities. The proposed MSMRMF contained two broad components as risk assessment and risk addressal. The framework detailed the risk mitigation and coping strategies (based on adjustment of internal and external strengths) for addressing risks. Risk mitigation was proposed to achieved through habitation resilience, natural capital enhancement, external partnerships, climate change adaptation, and technological interventions. The framework would provide an insight of risk and risk management strategies for the multi-hazard prone mountain regions for the sustainable development under the global change.
The aim of this study was to analyze the association between season of birth and daily temperature for neonatal mortality in two Swedish rural parishes between 1860 and 1899. Further, we aimed to study whether the association varied according to ethnicity (indigenous Sami reindeer herders and non-Sami settlers) and gender. The source material for this study comprised digitized parish records from the Demographic Data Base, Umeå University, combined with local weather data provided by the Swedish Meteorological and Hydrological Institute. Using a time event-history approach, we investigated the association between daily temperature (at birth and up to 28 days after birth) and the risk of neonatal death during the coldest months (November through March). The results showed that Sami neonatal mortality was highest during winter and that the Sami neonatal mortality risk decreased with higher temperatures on the day of birth. Male neonatal risk decreased with higher temperatures during the days following birth, while no effect of temperature was observed among female neonates. We conclude that weather vulnerability differed between genders and between the indigenous and non-indigenous populations.
Pastoralism is widely practiced in arid lands and is the primary means of livelihood for approximately 268 million people across Africa. Environmental, interpersonal, and transactional variables such as vegetation and water availability, conflict, ethnic tensions, and private/public land delineation influence the movements of these populations. The challenges of climate change and conflict are widely felt by nomadic pastoralists in Somalia, where resources are scarce, natural disasters are increasingly common, and protracted conflict has plagued communities for decades. Bereft of real-time data, researchers and programmatic personnel often turn to post hoc analysis to understand the interaction between climate, conflict, and migration, and design programs to address the needs of nomadic pastoralists. By designing an Agent-Based Model to simulate the movement of nomadic pastoralists based on typologically-diverse, historical data of environmental, interpersonal, and transactional variables in Somaliland and Puntland between 2008 and 2018, this study explores how pastoralists respond to changing environments. Through subsequent application of spatial analysis such as choropleth maps, kernel density mapping, and standard deviational ellipses, we characterize the resultant pastoralist population distribution in response to these variables. Outcomes demonstrate a large scale spatio-temporal trend of pastoralists migrating to the southeast of the study area with high density areas in the south of Nugaal, the northwest of Sool, and along the Ethiopian border. While minimal inter-seasonal variability is seen, multiple analyses support the consolidation of pastoralists to specifically favorable regions. Exploration of the large-scale population, climate, and conflict trends allows for cogent narratives and associative hypotheses regarding the pastoralist migration during the study period. While this model produces compelling associations between pastoralist movements and terrestrial and conflict variables, it relies heavily on assumptions and incomplete data that are not necessarily representative of realities on the ground. Given the paucity of data regarding pastoralist decision-making and migration, validation remains challenging.
The flaviviruses are small single-stranded RNA viruses that are typically transmitted by mosquitoes or tick vectors and are etiological agents of acute zoonotic infections. The viruses are found around the world and account for significant cases of human diseases. We investigated population of culicine mosquitoes in central region of Korean Peninsula, Incheon Metropolitan City and Hwaseong-si. Aedes vexans nipponii was the most frequently collected mosquitoes (56.5%), followed by Ochlerotatus dorsalis (23.6%), Anopheles spp. (10.9%), and Culex pipiens complex (5.9%). In rural regions of Hwaseong, Aedes vexans nipponii was the highest population (62.9%), followed by Ochlerotatus dorsalis (23.9%) and Anopheles spp. (12.0%). In another rural region of Incheon (habitat of migratory birds), Culex pipiens complex was the highest population (31.4%), followed by Ochlerotatus dorsalis (30.5%), and Aedes vexans vexans (27.5%). Culex pipiens complex was the predominant species in the urban region (84.7%). Culicine mosquitoes were identified at the species level, pooled up to 30 mosquitoes each, and tested for flaviviral RNA using the SYBR Green-based RT-PCR and confirmed by cDNA sequencing. Three of the assayed 2,683 pools (989 pools without Anopheles spp.) were positive for Culex flaviviruses, an insect-specific virus, from Culex pipiens pallens collected at the habitats for migratory birds in Incheon. The maximum likelihood estimation (the estimated number) for Culex pipiens pallens positive for Culex flavivirus was 25. Although viruses responsible for mosquito-borne diseases were not identified, we encourage intensified monitoring and long-term surveillance of both vector and viruses in the interest of global public health.
Heat-health risk is a growing concern in many regions of China due to the more frequent occurrence of extremely hot weather. Spatial indexes based on various heat assessment frameworks can be used for the assessment of heat risks. In this study, we adopted two approaches-Crichton’s risk triangle and heat vulnerability index (HVI) to identify heat-health risks in the Northern Jiangxi Province of China, by using remote sensing and socio-economic data. The Geographical Information System (GIS) overlay and principal component analysis (PCA) were separately used in two frameworks to integrate parameters. The results show that the most densely populated community in the suburbs, instead of city centers, are exposed to the highest heat risk. A comparison of two heat assessment mapping indicates that the distribution of HVI highlights the vulnerability differences between census tracts. In contrast, the heat risk index of Crichton’s risk triangle has a prominent representation for regions with high risks. The stepwise multiple linear regression zero-order correlation coefficient between HVI and outdoor workers is 0.715, highlighting the vulnerability of this particular group. Spearman’s rho nonparametric correlation and the mean test reveals that heat risk index is strongly correlated with HVI in most of the main urban regions in the study area, with a significantly lower value than the latter. The analysis of variance shows that the distribution of HVI exhibits greater variety across urban regions than that of heat risk index. Our research provides new insight into heat risk assessment for further study of heat health risk in developing countries.
National level floods affect large sections of the population, and in turn, receive attention from the government and international agencies. Localized natural disasters, including localized floods, do not get the attention of the government and policymakers because their impact is felt within limited geographical areas, despite the fact that these disasters severely affect the livelihood of rural communities. This study examines the impact of localized floods on the livelihood of farmers in Pakistan using a cross-sectional data set collected from 812 households. The empirical results show that localized floods severely affect rural livelihoods, and affected households have lowered cereal crop yields, less income, and reduced food security levels. Farmers adopt a number of strategies, including crop and livestock insurance, bund-making, land-leveling, and tree planting, to combat the impact of localized floods. Among all these mitigating strategies, the tree plantation is ranked as the best mitigating strategy followed by crop and livestock insurance, land leveling, and bund making, respectively. Education, wealth, access to non-governmental organizations (NGOs), extension services, and infrastructure, influence the adoption of measures to mitigate the effect of flood risks. National policy on localized flood risks needs to strengthen local institutions to provide support to families and extension services to train farmers to mitigate the impact of localized floods.
A comprehensive analysis of meteorological (air temperature, relative humidity, wind speed and global radiation) and outdoor thermal comfort (OTC) conditions (Physiological Equivalent Temperature and Mean Radiant Temperature) was carried out in six Local Climate Zones (LCZs) in Ghent (Belgium) on annual and seasonal level (2017) and during two heat waves (moderate in 2017 and record-breaking in 2019). The continuously monitored data originates from the local urban climate network MOCCA (Monitoring the City’s Climate and Atmosphere). The maximum hourly urban heat island (UHI) of 8.7 degrees C was noticed during the record-breaking 2019 heat wave. OTC was calculated with RayMan based on the observations from the MOCCA network and characteristics of the micro-environment which affect the estimated OTC conditions. The results show that cold stress is more apparent in Ghent during all seasons, except for summer. Downtown locations had more comfortable conditions on seasonal and annual level when compared to the rural location which had the most uncomfortable OTC conditions mostly due to cold stress. However, during the daytime period of heat waves, the open downtown and rural location were most frequently exposed to extreme heat stress, while the urban park in the sparsely built LCZ was the most comfortable area because it was able to effectively mitigate heat stress. This study illustrates the subtlety of the results of a thermal comfort study if one investigates both heat and cold stress on a yearly basis and during the extreme heat wave periods in a city with a moderate climate.
Pastoralist communities all over Africa have been facing a variety of social and economic problems, as well as climate risks and hazards for many years. They have also been suffering from climate change and extreme events, along with a variety of weather and climate threats, which pose many challenges to herders. On the one hand, pastoralist communities have little influence on policy decisions; however, on the other hand, they suffer to a significant extent from such policies, which limit their options for sustainable development and poverty alleviation. Also, the socio-cultural legacy of herders, and their role in food security and provision of ecosystem services, as well as their efforts towards climate change adaptation, are little documented, particularly in Eastern and Southern African countries. There is a perceived need for international studies on the risks and impacts of climate change and extreme events on the sustainability of pastoralist communities in Africa, especially in eastern and southern Africa. Based on the need to address this research gap, this paper describes the climate change risks and challenges that climate threats pose to the sustainability and livelihoods of pastoralist communities in eastern and southern Africa. Also, it discusses the extent to which such problems affect their wellbeing and income. Additionally, the paper reports on the socioeconomic vulnerability indices at country-level; identifies specific problems pastoralists face, and a variety of climate adaptation strategies to extreme events through field survey among pastoralist communities in a sample of five countries, namely Ethiopia, Kenya, Malawi, Uganda, and Zimbabwe. The study has shown that the long-term sustainability of the livelihoods of pastoral communities is currently endangered by climate change and the risks and hazards it brings about, which may worsen poverty among this social group. The study suggests that a more systematic and structured approach is needed when assessing the climate vulnerability of individual pastoral communities, since this may help in designing suitable disaster risk reduction strategies. Moreover, the paper shows that it is also necessary to understand better the socio-ecological systems (SES) of the various communities, and how their livelihoods are influenced by the changing conditions imposed by a changing climate.
Natural disasters have negative health impacts on chronic diseases in affected populations. Severely affected areas are usually rural areas with limited basic infrastructure and a population have that has limited access to optimal healthcare after a disaster. Patients with cardiovascular diseases are required to maintain quality care, especially after disasters. A population-based case-control study enrolled adults from the National Health Insurance Registry who had ischemic heart disease and cerebrovascular disease histories and lived in the area affected by Typhoon Morakot in 2009. Monthly medical visits for acute cerebrovascular and ischemic heart diseases markedly increased at approximately 1-2 months after the typhoon. Survival analysis during the two years following the typhoon indicated a significant increase in mortality in adults with an acute ischemic heart disease history who lived in the severely affected area. Mortality hazard analysis showed that among affected adults with previous cerebrovascular diseases and acute ischemic heart diseases, patients with diabetes (adjusted hazard ratio [HR]: 1.3-1.7), Chronic Kidney Disease (CKD) (adjusted HR: 2.0-2.7), chronic obstructive pulmonary diseases (COPD) and asthma (adjusted HR: 1.7-2.1), liver cirrhosis (adjusted HR: 2.3-3.3) and neoplasms (adjusted HR: 1.1-2.1) had significantly increased mortality rates. Consequently, high-quality and accessible primary healthcare plans should be made available to maintain and support affected populations after disasters.
OBJECTIVES: Pneumonia is a significant contributor to mortality and morbidity in children aged <5 years, and it is also one of the leading causes of hospitalisation for children in this age group. This study assessed the association between climate variability, patient characteristics (i.e. age, sex, weight, parental education, socio-economic status) and length of stay (LOS) in hospital for childhood pneumonia and its economic impact on rural Bangladesh. STUDY DESIGN: An ecological study design was used. METHODS: Data on daily hospitalisation for pneumonia in children aged <5 years (including patient characteristics) and daily climate data (temperature and relative humidity) between 1st January 2012 and 31st December 2016 were obtained from the Matlab Hospital (the International Centre for Diarrhoeal Disease Research, Bangladesh) and the Bangladesh Meteorological Department, respectively. A generalised linear model with Poisson link was used to quantify the association between climate factors, patient characteristics and LOS in hospital. RESULTS: The study showed that average temperature, temperature variation and humidity variation were positively associated with the LOS in hospital for pneumonia. A 1°C rise in average temperature and temperature variation during hospital stay increased the LOS in hospital by 1% (relative risk [RR]: 1.010, 95% confidence interval [CI]: 1.001-1.018) and 9.3% (RR: 1.093, 95% CI: 1.051-1.138), respectively. A 1% increase in humidity variation increased the LOS in hospital for pneumonia by 2.2% (RR: 1.022, 95% CI: 1.004-1.039). In terms of economic impact, for every 1° C temperature variation during the period of hospital stay, there is an addition of 0.81 USD/day/patient as a result of direct costs and 1.8 USD/day/patient for total costs. Annually, this results in an additional 443 USD for direct and 985 USD for total costs. CONCLUSIONS: Climate variation appears to significantly contribute to the LOS in hospital for childhood pneumonia. These findings may help policymakers to develop effective disease management and prevention strategies.
The number of serious and extreme drought events is increasing, causing a serious threat to ecosystems, food security, livelihood security, social stability, and sustainable development. The Marathwada region of India is highly vulnerable to the impacts of drought and has been severely affected because of consecutive drought events from 2012 to 2016. This article aims to understand the rural farming household’s perceptions of the impacts of drought, their adaptation and mitigation measures, and also attempts to assess the level of satisfaction of rural households with government mitigation measures. This study is based on primary and secondary sources of data collected from 192 farming households following a structured questionnaire survey. The survey reveals that crop failure, livelihood insecurity, declines in livestock production, livestock loss, water conflicts, and problems in meeting agricultural expenses, increased school dropout rates of children, and both psychological and health problems, were the most immediate socio-economic impacts of drought. The various environmental impacts of drought perceived by farmers included depleted groundwater levels, poor groundwater quality, land degradation, a decrease in seasonal river flows, degradation of pastures and declines in soil fertility. It was found that small and medium sized farmers were highly affected by drought compared with marginal and large scale farmers because of their high dependency on agriculture and poor adaptation strategies.
This paper aims to scrutinize in what way peri-urbanization triggers climate change vulnerabilities. By using spatial analysis techniques, the study undertakes the following tasks. First, the study demarcates Dhaka’s-the capital of Bangladesh-peri-urban growth pattern that took place over the last 24-year period (1992-2016). Afterwards, it determines the conformity of ongoing peri-urban practices with Dhaka’s stipulated planning documents. Then, it identifies Dhaka’s specific vulnerabilities to climate change impacts-i.e., flood, and groundwater table depletion. Lastly, it maps out the socioeconomic profile of the climate change victim groups from Dhaka. The findings of the study reveal that: (a) Dhaka lacks adequate development planning, monitoring, and control mechanisms that lead to an increased and uncontrolled peri-urbanization; (b) Dhaka’s explicitly undefined peri-urban growth boundary is the primary factor in misguiding the growth pockets-that are the most vulnerable locations to climate change impacts, and; (c) Dhaka’s most vulnerable group to the increasing climate change impacts are the climate migrants, who have been repeatedly exposed to the climate change-triggered natural hazards. These study findings generate insights into peri-urbanization-triggered climate change vulnerabilities that aid urban policymakers, managers, and planners in their development policy, planning, monitoring and control practices.
Studies on the pattern of heatwave mortality using nationwide data that include rural areas are limited. This study aimed to assess the risk of heatwave-related mortality and evaluate the health risk-based definition of heatwave. We collected data on daily temperature and mortality from 229 districts in South Korea in 2011-2017. District-specific heatwave-related mortality risks were calculated using a distributed lag model. The estimates were pooled in the total areas and for each urban and rural area using meta-regression. In the total areas, the threshold point of heatwave mortality risk was estimated at the 93rd percentile of temperature, and it was lower in urban areas than in rural areas (92nd percentile vs. 95th percentile). The maximum risk of heatwave-related mortality in the total area was 1.11 (95% CI: 1.01-1.22), and it was slightly greater in rural areas than in the urban areas (RR: 1.23, 95% CI: 0.99-1.53 vs. RR: 1.10, 95% CI: 1.01-1.20). The results differ by age- and cause-specific deaths. In conclusion, the patterns of heatwave-related mortality risk vary by area and sub-population in Korea. Thus, more target-specific heatwave definitions and action plans should be established according to different areas and populations.
Diarrheal diseases remain a significant contributor to the global burden of disease. Climate change may increase their incidence by altering the epidemiology of waterborne pathogens through changes in rainfall patterns. To assess potential impacts of future changes in rainfall patterns, we analyzed 33,927 cases of diarrhea across all Ministry of Health clinical facilities in Esmeraldas Province, Ecuador, for a 24-month period from 2013 to 2014, using mixed-effects Poisson regression. We assessed the association between the incidence of diarrheal diseases and heavy rainfall events (HREs) and antecedent rainfall conditions. In rural areas, we found no significant associations between HREs and incidence. In urban areas, dry antecedent conditions were associated with higher incidence than wet conditions. In addition, HREs with dry antecedent conditions were associated with elevated incidence by up to 1.35 (incidence rate ratio, 95% CI: 1.14-1.60) times compared with similar conditions without HREs. These patterns may be driven by accumulation of fecal contamination during dry periods, followed by a flushing effect during HREs. This phenomenon is more important in dense urban environments with more impervious surfaces. These findings suggest that projected increases in rainfall variability and HREs may increase diarrhea burden in urban regions, which are rapidly expanding globally.
Somalia, Kenya and Ethiopia, situated in the Horn of Africa, are highly vulnerable to climate change, which manifests itself through increasing temperatures, erratic rains and prolonged droughts. Millions of people have to flee from droughts or floods either as cross-border refugees or as internally displaced persons (IDPs). The aim of this study was to identify knowledge status and gaps regarding public health consequences of large-scale displacement in these countries. After a scoping review, we conducted qualitative in-depth interviews during 2018 with 39 stakeholders from different disciplines and agencies in these three countries. A validation workshop was held with a selection of 13 interviewees and four project partners. Malnutrition and a lack of vaccination of displaced people are well-known challenges, while mental health problems and gender-based violence (GBV) are less visible to stakeholders. In particular, the needs of IDPs are not well understood. The treatment of mental health and GBV is insufficient, and IDPs have inadequate access to essential health services in refugee camps. Needs assessment and program evaluations with a patients’ perspective are either lacking or inadequate in most situations. The Horn of Africa is facing chronic food insecurity, poor population health and mass displacement. IDPs are an underserved group, and mental health services are lacking. A development approach is necessary that moves beyond emergency responses to the building of long-term resilience, the provision of livelihood support and protection to reduce displacement by droughts.
The effect of tropical deforestation on heat exposure and subsequent human health outcomes remains understudied, especially among an increasingly vulnerable population-healthy, adult subsistence workers in rural industrializing tropical countries. We report on a field experiment that estimated the short-term effects of heat exposure from deforestation on cognitive performance. We randomly assigned rural, adult subsistence workers in East Kalimantan, Indonesia to deforested or forested settings, and standard or high incentive piece rate payments. Participants worked in forested or deforested settings for up to 90 min, where ambient and black globe temperatures in deforested areas were, on average, 2.1 degrees C and 10 degrees C higher. After completing the experimental task, participants were asked to take a validated general cognitive assessment test (CAT) and episodic memory test (EMT). We found participants in deforested settings had statistically significant lower scores on both CAT and EMT. Effects were largely driven by heat effects on male participants and those working after noon. Our results highlight how heat exposure from tropical deforestation may lead to declines in cognitive performance even in favorable work settings. Policymakers should consider how land use planning that takes into account the cooling services of trees can play a significant role in increasing resilience to heat from climate and land use change in the tropics.
There is an urgent need to map the geographic location of climate change risks and vulnerability, especially for cities in sub-Saharan Africa, which are experiencing the greatest urban development challenges and vulnerability to climate change impacts. The aim of this study is to investigate current and projected future heat risk, expressed as a heat stress exposure index using high-resolution climate change projections, and a social vulnerability index, to identify areas of potential future heat stress risk in the Durban (eThekwini) metropolitan area, South Africa. Additionally, this is the first study to use high-resolution downscaled climate change projections under Representative Concentration (RCP) 8.5, to construct the heat exposure index using apparent temperature and increases in minimum temperature and a social vulnerability index, using demographic and socio-economic census and land use data to, derived from principal component analysis (PCA) to spatially characterize heat stress within a South African city. Results show that while heat stress is not a current concern, it is projected to increase and become a future concern, mainly as a function of social vulnerability due to household demographic and infrastructural characteristics, and will be experienced in both the rural and inner-city areas of the metro. This study contributes a heat risk framework to identify locations for specific research and adaptation activities on heat stress risk and for urban planning in sub-Saharan African cities, which are characterized by both rural and urban contexts, to address climate change adaptation targeting and priority setting.
The Gulf of Mexico (GoM) region is prone to disasters, including recurrent oil spills, hurricanes, floods, industrial accidents, harmful algal blooms, and the current COVID-19 pandemic. The GoM and other regions of the U.S. lack sufficient baseline health information to identify, attribute, mitigate, and facilitate prevention of major health effects of disasters. Developing capacity to assess adverse human health consequences of future disasters requires establishment of a comprehensive, sustained community health observing system, similar to the extensive and well-established environmental observing systems. We propose a system that combines six levels of health data domains, beginning with three existing, national surveys and studies plus three new nested, longitudinal cohort studies. The latter are the unique and most important parts of the system and are focused on the coastal regions of the five GoM States. A statistically representative sample of participants is proposed for the new cohort studies, stratified to ensure proportional inclusion of urban and rural populations and with additional recruitment as necessary to enroll participants from particularly vulnerable or under-represented groups. Secondary data sources such as syndromic surveillance systems, electronic health records, national community surveys, environmental exposure databases, social media, and remote sensing will inform and augment the collection of primary data. Primary data sources will include participant-provided information via questionnaires, clinical measures of mental and physical health, acquisition of biological specimens, and wearable health monitoring devices. A suite of biomarkers may be derived from biological specimens for use in health assessments, including calculation of allostatic load, a measure of cumulative stress. The framework also addresses data management and sharing, participant retention, and system governance. The observing system is designed to continue indefinitely to ensure that essential pre-, during-, and post-disaster health data are collected and maintained. It could also provide a model/vehicle for effective health observation related to infectious disease pandemics such as COVID-19. To our knowledge, there is no comprehensive, disaster-focused health observing system such as the one proposed here currently in existence or planned elsewhere. Significant strengths of the GoM Community Health Observing System (CHOS) are its longitudinal cohorts and ability to adapt rapidly as needs arise and new technologies develop.
Wildfires are an important ecological threat in Cote d’Ivoire with the northern half the most affected zone. This study assessed farmers’ perception of wildfire occurrence in the N’Zi River Watershed and compared this perception to remotely sensed fire data trends. To this end, 259 farmers were individually interviewed and 18 farmers were involved in three focus group discussions in three agro-ecological zones. A combination of descriptive statistics and regression analysis was used for data analysis. Results showed that 78.75% of farmers observed the upward trend in the annual wildfire activity identified by remote sensing data during 2001-2016. Most of the respondents identified hunting (65.83%), farm establishment (50%) and firebreaks establishment (46.67%) as main causes of wildfires. The perceived impacts of wildfires included immediate crop burning, crop growth delaying, mid-term post-fire crop destruction, destruction of material goods and loss of human life. Local population developed endogenous strategies to cope with this scourge. Amongst identified coping strategies, firebreaks establishment and maintenance around new clearings and farms and prohibition of fire-hunting during the dry season were highlighted. Therefore, policies and institutions that support local wildfires management initiatives must take advantage of the strong community knowledge and networks to strengthen their effectiveness and sustainability.
There has been growing concern over the effects of heat waves on health. However, the effects of heat waves on the health of individuals in vulnerable groups have rarely been examined. We aimed to investigate the acute health effects of heat waves in elderly individuals living in rural areas and to survey their adaptation capacity. Repeated measurements of body temperature (BT), blood pressure, sleep disturbance, and indoor temperature were conducted up to six times for each of 104 elderly individuals living in rural areas of South Korea during the 2018 heat wave. Changes in BT, systolic blood pressure (SBP), and diastolic blood pressure (DBP) according to variations in indoor and outdoor temperature were analyzed using linear mixed effect models controlling for age, sex, smoking, and drug use. We also surveyed heat wave adaptation capacity, heat wave shelters, and self-reported health problems. The average indoor temperature measured during the study period was 30.5°C (range: 22.9-38.3°C) and that of ambient temperature was 30.6°C (range: 24.6-36.3°C). BT significantly increased with indoor and outdoor temperatures. The effect on BT was greater in elderly women and the elderly with hypertension. DBP generally decreased with increasing indoor temperature, though the correlation was only statistically significant among the elderly with hypertension. Only 22 (21.2%) individuals used air conditioners during the heat wave. Most did not use an air conditioner mainly to avoid high electricity costs. Of the participants, 58.7% reported experiencing sleep disturbance, which was the most frequent self-reported health problem. Elderly individuals living in rural areas are directly exposed to high temperatures during heat waves, and their vital signs are sensitive to increases in indoor temperature due to poor adaptation capacity. Well-designed strategies for alleviating health-related stress during heat waves are necessary.
There is potential for increased pesticide-related adverse health outcomes in the agricultural sector linked to adaptive increases in pesticide use necessitated, in part, by climate change-related increases in pest populations. To understand the role of adaptation practices in pesticide use and health risks, this study assessed Zimbabwean smallholder cotton farmers’ adaptive responses linked to their climate change perceptions. In depth interviews were conducted with 50 farmers who had been growing cotton for at least 30 years. The study identified farmers’ adaptation practices that increased their pesticide use, as well as those that presented opportunities for reducing pesticide use through non-pesticide-dependent adaptation pathways. The findings show that due to perceived climate change impacts, such as a shorter growing season, farmers were adopting a range of adaptive practices. These included changes in pest management practices, such as increasing pesticide spraying frequencies due to keeping ratoon crops, which were increasing farmers’ overall pesticide use. Such incremental adaptive practices are potentially maladaptive, as they may increase farmers’ pesticide-related health risks. Other practices, however, such as reducing cotton acreage and diversifying crops, resulting in transformational adaptation, suggest the existence of opportunities for decreasing overall pesticide use or totally eliminating pesticides from the farming system.
Climatic variability affects many underlying determinants of child malnutrition, including food availability, access, and utilization. Evidence of the effects of changing temperatures and precipitation on children’s nutritional status nonetheless remains limited. Research addressing this knowledge gap is merited given the shortand long-run consequences of malnutrition. We address this issue by estimating the effects of temperature and precipitation anomalies on the weight and wasting status of children ages 0-59 months across 18 countries in sub-Saharan Africa. Linear regression models show that high temperatures and low precipitation are associated with reductions in child weight, and that high temperatures also lead to increased risk of wasting. We find little evidence of substantively meaningful differences in these effects across sub-populations of interest. Our results underscore the vulnerability of young children to climatic variability and its second-order economic and epidemiological effects. The study also highlights the corresponding need to design and assess interventions to effectively mitigate these impacts.
In India, a reduction in wheat crop yield would lead to a widespread impact on food security. In particular, the most vulnerable people are severely exposed to food insecurity. This study estimates the climate change vulnerability of wheat crops with respect to heterogeneities in time, space, and weighting methods. The study uses the Intergovernmental Panel on Climate Change (IPCC) framework of vulnerability while using composite indices of 27 indicators to explain exposure, sensitivity, and adaptive capacity. We used climate projections under current (1975-2005) conditions and two future (2021-2050) Representation Concentration Pathways (RCPs), 4.5 and 8.5, to estimate exposure to climatic risks. Consistency across three weighting methods (Analytical Hierarchy Process (AHP), Principal Component Analysis (PCA), and Equal Weights (EWs)) was evaluated. Results of the vulnerability profile suggest high vulnerability of the wheat crop in northern and central India. In particular, the districts Unnao, Sirsa, Hardoi, and Bathinda show high vulnerability and high consistency across current and future climate scenarios. In total, 84% of the districts show more than 75% consistency in the current climate, and 83% and 68% of the districts show more than 75% consistency for RCP 4.5 and RCP 8.5 climate scenario for the three weighting methods, respectively. By using different weighting methods, it was possible to quantify “method uncertainty” in vulnerability assessment and enhance robustness in identifying most vulnerable regions. Finally, we emphasize the importance of communicating uncertainties, both in data and methods in vulnerability research, to effectively guide adaptation planning. The results of this study would serve as the basis for designing climate impacts adjusted adaptation measures for policy interventions.
Climate change driven food insecurity has emerged as a topic of special concern in the Canadian Arctic. Inuit communities in this region rely heavily on subsistence; however, access to traditional food sources may have been compromised due to climate change. Drawing from a total of 25 interviews among Inuit elders and experienced hunters from Cambridge Bay and Kugluktuk in Nunavut, Canada, this research examines how climate change is impacting food sovereignty and health. Our results show that reports of food insecurity were more pronounced in Kugluktuk than Cambridge Bay. Participants in Kugluktuk consistently noted declining availability of preferred fish and game species (e.g., caribou, Arctic char), a decline in participation of sharing networks, and overall increased difficulty accessing traditional foods. Respondents in both communities presented a consistent picture of climate change compounding existing socio-economic (e.g., poverty, disconnect between elders and youth) and health stressors affecting multiple aspects of food sovereignty. This article presents a situated understanding of how climate change as well as other sociocultural factors are eroding food sovereignty at the community-scale in the Arctic. We argue that a communal focus is required to address resilience and adaptation at the local level through programs that protect the local cultural knowledge, traditional ways of life, and indigenous sovereignty to reduce the severities of food insecurity in the Arctic stemming from climate change.
In 2017, marginalised groups were disproportionately impacted by extensive flooding in a rural community in Northern New South Wales, Australia, with greater risk of home inundation, displacement and poor mental health. While social capital has been linked with good health and wellbeing, there has been limited investigation into its potential benefits in post-disaster contexts, particularly for marginalised groups. Six months post-flood, a cross-sectional survey was conducted to quantify associations between flood impact, individual social capital and psychological distress (including probable post-traumatic stress disorder). We adopted a community-academic partnership approach and purposive recruitment to increase participation from socio-economically marginalised groups (Aboriginal people and people in financial hardship). These groups reported lower levels of social capital (informal social connectedness, feelings of belonging, trust and optimism) compared to general community participants. Despite this, informal social connectedness and belonging were important factors for all participant groups, associated with reduced risk of psychological distress. In this flood-prone, rural community, there is a pressing need to build social capital collectively through co-designed strategies that simultaneously address the social, cultural and economic needs of marginalised groups. Multiple benefits will ensue for the whole community: reduced inequities; strengthened resilience; improved preparedness and lessened risk of long-term distress from disaster events.
Climate change in South Africa remains an issue of socio-economic and environmental concern. An increase in frequency and intensity of climatic events pose significant threats to biophysical and socio-economic aspects, namely food security, water resources, agriculture, biodiversity, tourism, and poverty. In order to counteract the socio-economic and environmental concerns pertaining to issues of climate change, emergent insights on climate change strategies suggest that building resilience in human and environmental systems is an ideal way of combating dynamic environmental conditions and future uncertainties. Using the qualitative secondary data approach, this article evaluates whether vulnerable communities in uMkhanyakude District Municipality can become resilient to the implications of climate change. UMkhanyakude District Municipality is predominantly rural and one of the most impoverished districts in KwaZulu-Natal, with the majority of socially and economically marginalised individuals and households experiencing more severe impacts as a result of climate change compared to those in urban areas. Data was analysed using content analysis and a concise summary of the biophysical and socio-economic aspects is presented. This research suggests that building resilience to climate change is possible when bottom-up, proactive and systematic measures are taken to manage vulnerable areas such as those in uMkhanyakude District Municipality. It recommends that social impact assessments (SIA) be conducted to assist in terms of assessing social consequences that are likely to follow from policy actions.
Indigenous Solomon Islanders, like many living in Pacific Small Island Developing States (PSIDS), are currently experiencing the global syndemic-the combined threat of obesity, undernutrition, and climate change. This mixed-method study aimed to assess nutrition transitions and diet quality by comparing three geographically unique rural and urban indigenous Solomon Islands populations. Participants in rural areas sourced more energy from wild and cultivated foods; consumed a wider diversity of foods; were more likely to meet WHO recommendations of >400g of non-starchy fruits and vegetables daily; were more physically active; and had significantly lower body fat, waist circumference, and body mass index (BMI) when compared to urban populations. Urban populations were found to have a reduced ability to self-cultivate agri-food products or collect wild foods, and therefore consumed more ultra-processed foods (classified as NOVA 4) and takeout foods, and overall had less diverse diets compared to rural populations. Clear opportunities to leverage traditional knowledge and improve the cultivation and consumption of underutilized species can assist in building more sustainable and resilient food systems while ensuring that indigenous knowledge and cultural preferences are respected.
