INTRODUCTION: Climate change is a global public health emergency with implications for access to care and emergency care service disruptions. The African continent is particularly vulnerable to climate-related extreme weather events due to an already overburdened health system, lack of early warning signs, poverty, inadequate infrastructure, and variable adaptive capacity. Emergency care services are not only utilized during these events but also threatened by these hazards. Considering that the effects of climate change are expected to increase in intensity and prevalence, it is increasingly important for emergency care to prepare to respond to the changes in presentation and demand. The aim of this study was to perform a scoping review of the available literature on the relationship between climate change and emergency care on the African continent. METHODS: A scoping review was completed using five databases: Pubmed, Web of Science, GreenFILE, Africa Wide Information, and Google Scholar. A ‘grey’ literature search was done to identify key reports and references from included articles. Two independent reviewers screened articles and a third reviewer decided conflicts. A total of 1,382 individual articles were initially screened with 17 meeting full text review. A total of six articles were included in the final analysis. Data from four countries were represented including Uganda, Ghana, Tanzania, and Nigeria. RESULTS: Analysis of the six articles yielded three key themes that were identified: climate-related health impacts that contribute to surges in demand and resource utilization, opportunities for health sector engagement, and solutions to improve emergency preparedness. Authors used the outcomes of the review to propose 10 recommendations for decision-makers and leaders. DXDISCUSSION: Incorporating these key recommendations at the local and national level could help improve preparedness and adaptation measures in highly vulnerable, populated areas on the African continent.
INTRODUCTION: Climate change exacerbates existing sociopolitical and economic vulnerabilities, undermining livelihoods, inflating the risk of conflict, and making it difficult for people to remain stable. In 2019, around 25 million new displacements occurred due to natural disasters. This review aims to summarize the existing evidence regarding the impact of climate change on the health of African immigrants. METHODS: Nine databases were systematically searched using a strategy developed in collaboration with a subject librarian. Potentially relevant articles were identified, screened, and reviewed by at least two reviewers, with a third reviewer resolving conflicts where necessary. Data were extracted from relevant articles using a standardized form. RESULTS: Seven studies (three cross-sectional, two qualitative, one cohort, and one need assessment report) were identified; they included different categories of African migrants and reported on various aspects of health. The included articles report on climate change, e.g., flooding, drought, and excess heat, resulting in respiratory illness, mental health issues, malnutrition, and premature mortality among African immigrants. CONCLUSION: This review suggests climate change adversely affects the physical, mental, and social health of African immigrants. It also highlights a knowledge gap in evidence related to the impact of climate change on the health of African immigrants.
INTRODUCTION: Climate change-related extreme weather events have increased in frequency and intensity, threatening people’s health, particularly in places with weak health systems. In March 2019, Cyclone Idai devastated Mozambique’s central region, causing infrastructure destruction, population displacement, and death. We assessed the impact of Idai on maternal and child health services and recovery in the Sofala and Manica provinces. METHODS: Using monthly district-level routine data from November 2016 to March 2020, we performed an uncontrolled interrupted time series analysis to assess changes in 10 maternal and child health indicators in all 25 districts before and after Idai. We applied a Bayesian hierarchical negative binomial model with district-level random intercepts and slopes to estimate Idai-related service disruptions and recovery. RESULTS: Of the 4.44 million people in Sofala and Manica, 1.83 (41.2%) million were affected. Buzi, Nhamatanda, and Dondo (all in Sofala province) had the highest proportion of people affected. After Idai, all 10 indicators showed an abrupt substantial decrease. First antenatal care visits per 100,000 women of reproductive age decreased by 23% (95% confidence interval [CI]=0.62, 0.96) in March and 11% (95% CI=0.75, 1.07) in April. BCG vaccinations per 1,000 children under age 5 years declined by 21% (95% CI=0.69, 0.90) and measles vaccinations decreased by 25% (95% CI=0.64, 0.87) in March and remained similar in April. Within 3 months post-cyclone, almost all districts recovered to pre-Idai levels, including Buzi, which showed a 22% and 13% relative increase in the number of first antenatal care visits and BCG, respectively. CONCLUSION: We found substantial health service disruptions immediately after Idai, with greater impact in the most affected districts. The findings suggest impressive recovery post-Idai, emphasizing the need to build resilient health systems to ensure quality health care during and after natural disasters.
As disasters increase in frequency and magnitude with adverse effects on population health, governments will be forced to implement disaster risk management policies that may include forced relocation. Ineffective public consultation has been cited as one reason for failure of these policies. Using the deliberative polling method, this study assessed the capacity of rural communities to participate in flood risk management policy priority setting and the impact of providing accurate and balanced information on policies by comparing pre-and post -deliberation data. The study also assessed the level of trust on whether government and community would use the results of this study. Results indicated strong community support for policy options to reduce vulnerability in communities and strong resistance to relocation. As all the top five ranked policy options were concerned with population pressure, gender, and social service issues, which are all conceptually considered social determinants of a healthy community, this study concludes that public health considerations are central to flood risk policy development and implementation. The study revealed high levels of trust in government and the community relating to flood risk management, which policymakers in low-to-middle income countries can capitalise on for meaningful community consultation for effective disaster risk management.
BACKGROUND: The ability of disaster response, preparedness, and mitigation efforts to assess the loss of physical accessibility to health facilities and to identify impacted populations is key in reducing the humanitarian consequences of disasters. Recent studies use either network- or raster-based approaches to measure accessibility in respect to travel time. Our analysis compares a raster- and a network- based approach that both build on open data with respect to their ability to assess the loss of accessibility due to a severe flood event. As our analysis uses open access data, the approach should be transferable to other flood-prone sites to support decision-makers in the preparation of disaster mitigation and preparedness plans. METHODS: Our study is based on the flood events following Cyclone Idai in Mozambique in 2019 and uses both raster- and network-based approaches to compare accessibility to health sites under normal conditions to the aftermath of the cyclone to assess the loss of accessibility. Part of the assessment is a modified centrality indicator, which identifies the specific use of the road network for the population to reach health facilities. RESULTS: Results for the raster- and the network-based approaches differed by about 300,000 inhabitants (~ 800,000 to ~ 500,000) losing accessibility to healthcare sites. The discrepancy was related to the incomplete mapping of road networks and affected the network-based approach to a higher degree. The modified centrality indicator allowed us to identify road segments that were most likely to suffer from flooding and to highlight potential backup roads in disaster settings. CONCLUSIONS: The different results obtained between the raster- and network-based methods indicate the importance of data quality assessments in addition to accessibility assessments as well as the importance of fostering mapping campaigns in large parts of the Global South. Data quality is therefore a key parameter when deciding which method is best suited for local conditions. Another important aspect is the required spatial resolution of the results. Identification of critical segments of the road network provides essential information to prepare for potential disasters.
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.
BACKGROUND: Floods are the most frequently occurring natural disaster and constitute a significant public health risk. Several operational satellite-based flood detection systems quantify flooding extent, but it is unclear how far the choice of satellite-based flood product affects the findings of epidemiological studies of associated public health risks. Few studies of flooding’s health impacts have used mixed methods to enrich understanding of these impacts. This study therefore aims to evaluate the relationship between two satellite-derived flood products with outpatient attendance and diarrhoeal disease in northern Ghana, identifying plausible reasons for observed relationships via qualitative interviews. METHODS: A convergent parallel mixed methods design combined an ecological time series with focus group discussions and key informant interviews. Through an ecological time series component, monthly outpatient attendance and diarrhoea case counts from health facilities in two flood-prone districts for 2016-2020 were integrated with monthly flooding map layers classified via the Moderate Resolution Imaging Spectroradiometer (MODIS) and Landsat satellite sensors. The relationship between reported diarrhoea and outpatient attendance with flooding was examined using Poisson regression, controlling for seasonality and facility catchment population. Four focus group discussions with affected community members and four key informant interviews with health professionals explored flooding’s impact on healthcare delivery and access. RESULTS: Flooding detected via Landsat better predicted outpatient attendance and diarrhoea than flooding via MODIS. Outpatient attendance significantly reduced as LandSat-derived flood area per facility catchment increased (adjusted Incidence Rate Ratio = 0.78, 95% CI: 0.61-0.99, p < 0.05), whilst reported diarrhoea significantly increased with flood area per facility catchment (adjusted Incidence Rate Ratio = 4.27, 95% CI: 2.74-6.63, p < 0.001). Key informants noted how flooding affected access to health services as patients and health professionals could not reach the health facility and emergency referrals were unable to travel. CONCLUSIONS: The significant reduction in outpatient attendance during flooding suggests that flooding impairs healthcare delivery. The relationship is sensitive to the choice of satellite-derived flood product, so future studies should consider integrating multiple sources of satellite imagery for more robust exposure assessment. Health teams and communities should plan spatially targeted flood mitigation and health system adaptation strategies that explicitly address population and workforce mobility issues.
In 2017, diarrheal diseases were responsible for 606 024 deaths in Sub-Saharan Africa. This situation is due to domestic and recreational use of polluted surface waters, deficits in hygiene, access to healthcare and drinking water, and to weak environmental and health monitoring infrastructures. Escherichia coli (E. coli) is an indicator for the enteric pathogens that cause many diarrheal diseases. The links between E. coli, diarrheal diseases and environmental parameters have not received much attention in West Africa, and few studies have assessed health risks by taking into account hazards and socio-health vulnerabilities. This case study, carried out in Burkina Faso (Bagre Reservoir), aims at filling this knowledge gap by analyzing the environmental variables that play a role in the dynamics of E. coli, cases of diarrhea, and by identifying initial vulnerability criteria. A particular focus is given to satellite-derived parameters to assess whether remote sensing can provide a useful tool to assess the health hazard. Samples of surface water were routinely collected to measure E. coli, enterococci and suspended particulate matter (SPM) at a monitoring point (Kapore) during one year. In addition, satellite data were used to estimate precipitation, water level, Normalized Difference Vegetation Index (NDVI) and SPM. Monthly epidemiological data for cases of diarrhea from three health centers were also collected and compared with microbiological and environmental data. Finally, semi-structured interviews were carried out to document the use of water resources, contact with elements of the hydrographic network, health behavior and condition, and water and health policy and prevention, in order to identify the initial vulnerability criteria. A positive correlation between E. coli and enterococci in surface waters was found indicating that E. coli is an acceptable indicator of fecal contamination in this region. E. coli and diarrheal diseases were strongly correlated with monsoonal precipitation, in situ SPM, and Near Infra-Red (NIR) band between March and November. Partial least squares regression showed that E. coli concentration was strongly associated with precipitation, Sentinel-2 reflectance in the NIR and SPM, and that the cases of diarrhea were strongly associated with precipitation, NIR, E. coli, SPM, and to a lesser extent with NDVI. Moreover, E. coli dynamics were reproduced using satellite data alone, particularly from February to mid-December (R2 = 0.60) as were cases of diarrhea throughout the year (R2 = 0.76). This implies that satellite data could provide an important contribution to water quality monitoring. Finally, the vulnerability of the population was found to increase during the rainy season due to reduced accessibility to healthcare and drinking water sources and increased use of water of poor quality. During this period, surface water is used because it is close to habitations, easy to use and free from monetary or political constraints. This vulnerability is aggravated by marginality and particularly affects the Fulani, whose concessions are often close to surface water (river, lake) and far from health centers.
BACKGROUND: Since climate change, pandemics and population mobility are challenging healthcare systems, an empirical and integrative research to studying and help improving the health systems resilience is needed. We present an interdisciplinary and mixed-methods research protocol, ClimHB, focusing on vulnerable localities in Bangladesh and Haiti, two countries highly sensitive to global changes. We develop a protocol studying the resilience of the healthcare system at multiple levels in the context of climate change and variability, population mobility and the Covid-19 pandemic, both from an institutional and community perspective. METHODS: The conceptual framework designed is based on a combination of Levesque’s Health Access Framework and the Foreign, Commonwealth and Development Office’s Resilience Framework to address both outputs and the processes of resilience of healthcare systems. It uses a mixed-method sequential exploratory research design combining multi-sites and longitudinal approaches. Forty clusters spread over four sites will be studied to understand the importance of context, involving more than 40 healthcare service providers and 2000 households to be surveyed. We will collect primary data through questionnaires, in-depth and semi-structured interviews, focus groups and participatory filming. We will also use secondary data on environmental events sensitive to climate change and potential health risks, healthcare providers’ functioning and organisation. Statistical analyses will include event-history analyses, development of composite indices, multilevel modelling and spatial analyses. DISCUSSION: This research will generate inter-disciplinary evidence and thus, through knowledge transfer activities, contribute to research on low and middle-income countries (LMIC) health systems and global changes and will better inform decision-makers and populations.
OBJECTIVE: To understand how climate change vulnerability is associated with women and children’s health (WCH) at the district level in India. METHODS: The district-specific climate change vulnerability index was mapped to the district level NFHS-5 data (N = 674). Fractional regression and spatial analyses were performed to examine the strength of association and the presence of geographic clustering. RESULTS: Bivariate analysis revealed that the levels of WCH indicators were lower in districts with a high vulnerability index than in those with a low vulnerability index. Multivariable analyses suggested that with a 1% increase in the vulnerability index, the proportion of modern contraceptive use was reduced by 0.22, four or more prenatal care visits by 0.14, postnatal care by 0.11, and full immunization by 0.12; whereas wasting and underweight proportions increased by 0.07 and 0.10, respectively. The spatial analysis found that in about 70-118 districts, mostly in eastern India, where climate vulnerability was high the WCH outcomes were also poor. CONCLUSION: There is a macro-level association between climate change vulnerability and WCH, as districts that had high levels of climate change vulnerability also performed poorly in WCH. There is a need for an integrated approach that considers geography-specific climate change threats to develop health programs.
This study aimed at assessing the Livelihood Vulnerability Index (LVI) using the IPCC framework approach and a modified approach to estimate climate change vulnerability in south-west coastal area of Bangladesh. Nine Upazillas (sub-districts) in the south west coastal community were considered for this study. The major component indices of LVI such as socio-demographic profile, livelihood strategies, social network, health, food, water, natural disaster and climate variability were calculated based on the household survey data. The LVI based on the IPCC approach (LVI-IPCC) in nine upazillas in southwest coastal region of Bangladesh were found within a range of -0.02 to + 0.04 (on the scale of -1 to +1). In the modified approach. the LVI for the nine study areas was found within a wide range from 0.253 to 0.544 (on a scale of 0 to 1). For the LVI-IPCC approach, although the contributing factors (exposure, sensitivity and adaptive capacity) individually show variations in their indices from one to another, no significant variation is observed for the total livelihood index. However, the modified approach shows significant variation in LVI among the studied nine areas. It is concluded that the modified approach is suitable for community or district level assessment, whereas the LVI-IPCC may be suitable for regional level evaluation.
Severe pneumonia is one of the leading contributors to morbidity and deaths among hospitalized under-five children. We aimed to assess the association of the socio-demographic characteristics of the patients and the climatic factors with the length of hospital stay (LoS) of under-five children with severe pneumonia managed at urban hospitals in Bangladesh. We extracted relevant data from a clinical trial, as well as collecting data on daily temperature, humidity, and rainfall from the Meteorological Department of Bangladesh for the entire study period (February 2016 to February 2019). We analyzed the data of 944 children with a generalized linear model using gamma distribution. The average duration of the hospitalization of the children was 5.4 ± 2.4 days. In the multivariate analysis using adjusted estimation of duration (beta; β), extended LoS showed remarkably positive associations regarding three variables: the number of household family members (β: 1.020, 95% confidence intervals (CI): 1.005-1.036, p = 0.010), humidity variation (β: 1.040, 95% Cl: 1.029-1.052, p < 0.001), and rainfall variation (β: 1.014, 95% Cl: 1.008-1.019), p < 0.001). There was also a significant negative association with LoS for children's age (β: 0.996, 95% Cl: 0.994-0.999, p = 0.006), well-nourishment (β: 0.936, 95% Cl: 0.881-0.994, p = 0.031), and average rainfall (β: 0.980, 95% Cl: 0.973-0.987, p < 0.001). The results suggest that the LoS of children admitted to the urban hospitals of Bangladesh with severe pneumonia is associated with certain socio-demographic characteristics of patients, and the average rainfall with variation in humidity and rainfall.
Torrential rainfall following the monsoon season occurs annually in Pakistan and adversely affects health service delivery and population health. This qualitative study was undertaken in five flood-prone districts to examine district health systems’ performance during floods in Pakistan. The first of its kind study to gather an in-depth assessment of the capacity of district health systems in maintaining healthcare services during floods. Key informant interviews were conducted with 37 district stakeholders and 42 frontline healthcare providers. Nine focus group discussions were also conducted with 56 lady health workers. World Health Organization health systems’ six building blocks framework was utilized to assess the performance of district health systems. The findings illustrated increased reporting of diseases, and domestic and sexual violence against females. The damaged roads and unavailability of transportation during floods affected outreach services in the communities. The inadequate availability of funds resulted in critical gaps in the supply chain for essential medicines and supplies, impeding outreach services. Shortage of female medical staff was reported in addition to poor attention to the training of staff for disaster response. Furthermore, reporting mechansim varied across provinces with daily reporting system of acute illnesses instituted. Moreover, district health systems lacked gender-sensitive responses in responding to flood emergencies. This study identified multiple health system constraints that resulted in poor district health systems’ capacity in delivering essential healthcare services during floods. This study, therefore, highlighted a need to improve district health systems’ capacity in effectively responding to healthcare service needs during floods.
Floods are a common natural hazard in Bangladesh, and climate change is expected to further increase flooding frequency, magnitude and extent. Pregnant women in flood contexts could face challenges in utilisation of maternal healthcare. The aim of this paper is to analyse associations between flood exposure and the use of maternal healthcare (antenatal care visits, birth assisted by skilled birth attendants, and giving birth in a health facility) in Bangladesh for pregnancies/births between 2004 and 2018. Bangladesh Demographic and Health Survey data from four surveys in the time period 2007-2018 and data on floods from the Emergency Events Database and the Geocoded Disasters Dataset are analysed using multilevel linear probability models. In line with previous results, we find clear bivariate associations between exposure to flooding and maternal healthcare use. These associations are largely confounded by socioeconomic and demographic variables. In general, exposure to flooding – whether measured as exposure to any floods or severe floods – does not affect maternal healthcare use, and we suggest that the lower usage of maternal healthcare in areas exposed to flooding rather relates to the characteristics of the flood-prone areas and their populations, which also relate to lower maternal healthcare use. However, we find negative associations in some supplementary analyses, which suggest that even if there is no effect of floods on average, specific floods may have negative effects on maternal healthcare use.
BACKGROUND: Current literatures seem devoted only on relating climate change with malaria. Overarching all possible environmental determinants of malaria prevalence addressed by scanty literature in Nepal is found apposite research at this moment. This study aims to explore the environmental determinants of malaria prevalence in western Nepal. METHODS: Cross-sectional data collected from community people were used to identify the environmental determinants of malaria prevalence in western Nepal. Probit and logistic regressions are used for identifying determinants. RESULTS: The results reveal that environmental variables: winter temperature (aOR: 2.14 [95% CI: 1.00-4.56]), flooding (aOR: 2.45 [CI: 1.28-4.69]), heat waves (aOR: 3.14 [CI: 1.16-8.46]) and decreasing river water level (aOR: 0.25 [CI: 0.13-0.47]) are found major factors to influence malaria prevalence in western Nepal. Besides, pipeline drinking water (aOR: 0.37 [0.17-0.81]), transportation facility (aOR: 1.18 [1.07-1.32]) and awareness programs (aOR: 2.62 [0.03-6.65]) are exigent social issues to influence malaria prevalence in Nepal. To be protected from disease induced by environmental problems, households have used extra season specific clothes, iron nets and mosquito nets, use of insecticide in cleaning toilet and so on. CONCLUSIONS: Adaptation mechanism against these environmental issues together with promoting pipeline drinking water, transportation facility and awareness programs are the important in malaria control in Nepal. Government initiation with incentivized adaptation mechanism for the protection of environment with caring household attributes possibly help control malaria in western Nepal.
The Uttarakhand State, known for its Himalayan Mountains, is a territory in Northern India that is extremely vulnerable to earthquakes, landslides, and floods. Currently, due to the COVID-19 outbreak, India is facing the dual challenge of containing a pandemic and responding to natural disasters. This situation can have a negative impact on the health and the economic development of the region, leading to a long-lasting humanitarian crisis that can disrupt even more, the already overburdened health service. In addition, it can pose serious threats to the wellbeing of the population as it complicates physical distancing and other COVID-19 prevention measures. It is of utmost importance to analyse the impact of floods, landslides, and COVID-19 pandemic on the health system of the Uttarakhand State, and how these crises interact with each other.
Meeting global and national malaria elimination targets requires identifying challenges as early as possible so that strategies can be modified to stay on track. This qualitative study of stakeholders who have a major influence on malaria programs across the Southeast Asian region, including those at a state level in India and at a national level in Cambodia, Myanmar, Thailand and Vietnam, shows that most believe Plasmodium falciparum malaria elimination targets are attainable, but are less optimistic for meeting Plasmodium vivax targets. Across these countries, stakeholders reported large variations in access to malaria diagnosis and treatment; the effectiveness of strategies for reaching migrants and hardto-serve populations; and securing sufficient numbers of skilled workers for both diagnosis and compliance with artemisinin-combination treatments and the need to optimise use of insecticides. Additionally, there was optimism about coordinated surveillance and response, but this was counterbalanced with a sense that national and regional collaboration opportunities have been missed. Climate change impacts were seen as a potential threat by all stakeholders in this study and in need of further research.
PURPOSE OF REVIEW: We review and analyze recent literature in public health, urban planning, and disaster management to better understand the relationships between climate change, natural disasters, and root causes of health disparities in the USA. RECENT FINDINGS: Existing scholarship establishes clear linkages between climate change and increasing occurrences and severity of natural disasters across the USA. The frequency and types of disasters vary by region and impact both short and long-term health outcomes. Current research highlights health inequities affecting lower income and minoritized communities disproportionately, but data-driven studies critically examining the role of structural inequalities in climate-induced health disparities are sparse. Adding to the body of knowledge, our conceptual framework maps how long-standing structural inequalities in policy, practice, and funding shape vulnerability of lower-income, racially and ethnically marginalized individuals. Vulnerability follows three common pathways: disparities in “exposure”, “sensitivity”, and “resiliency” before, during, and after a climate disaster. We recommend that future research, policy, and practice shift towards solutions that unearth and address the structural biases that cause environmental disaster and health inequities.
Pediatric populations are expected to bear most of the climate change impacts, with racial minorities and children living in poorer countries being particularly vulnerable. Given their relevance to cutaneous disease, dermatologists should be aware of these climate-sensitive health impacts and the ways in which they intersect with social factors. Strategies including targeted risk communication, motivational interviewing, and storytelling can help facilitate climate discussions during the patient encounter. In this article the authors summarize common dermatologic health impacts related to environmental exposures and provide sample scripts for climate messaging.
BACKGROUND: Emergency medical services (EMS) response volume has been linked to weather and temporal factors in a regional EMS system. We aimed to identify if models of EMS utilization incorporating these data are generalizable through geographically disparate areas in the United States. METHODS: We performed a retrospective analysis of EMS dispatch data from four regions: New York City, San Francisco, Cincinnati, and Marin County for years 2016-2019. For each model, we used local weather data summarized from the prior 6 h into hourly bins. Our outcome for each model was EMS dispatches as count data. We fit and optimized a negative binomial regression model for each region, to estimate incidence rate ratios. We compared findings to a prior study performed in Western Pennsylvania. RESULTS: We included 5,940,637 EMS dispatches from New York City, 809,405 from San Francisco, 260,412 from Cincinnati, and 77,461 from Marin County. Models demonstrated consistency with the Western Pennsylvania model with respect to temperature, season, wind speed, dew point, and time of day; both in terms of direction and effect size when expressed as incidence rate ratios. Precipitation was associated with increasing dispatches in the New York City, Cincinnati, and Marin County models, but not the San Francisco model. CONCLUSION: With minor differences, regional models demonstrated consistent associations between dispatches and time and weather variables. Findings demonstrate the generalizability of associations between these variables with respect to EMS use. Weather and temporal factors should be considered in predictive modeling to optimize EMS staffing and resource allocation.
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.
In September of 2017, Hurricane Maria made landfall in Puerto Rico, bringing widespread damage to public systems across the island, which included particularly devastating impacts to local hospitals and medical facilities. Health care organisations operating on the ground played an essential role in hurricane response efforts as they attempted to address the medical needs of vulnerable populations. However, minimal research has discussed how the provision of post-disaster healthcare rested on the knowledge and participation of local communities. This study aims to fill these gaps by exploring the ways in which health care workers relied on their relationships with informal community networks to navigate the post-disaster landscape and provide adequate health services. This study uses post-disaster response data collected in Puerto Rico, which includes interviews with private, non-profit, and university-affiliated health organisations, as well as community health centers and emergent health outreach groups. Findings from this study highlight the critical role informal networks, community outreach, and relationship building play in response work as organisations attempt to overcome the specific complexities and challenges of operating in the post-disaster context. Furthermore, our research illustrates how deficient government support and systematic failings shift the burden of resilience building onto community members and organisations.
BACKGROUND: On September 20, 2017, Hurricane Maria, a devastating Category 5 storm struck the Caribbean Island of Puerto Rico and officially took the lives of 2 975 people although the Harvard University survey in 2018 placed that number much higher at 4 645 [12]. The island’s infrastructure was devastated. Eight months later in May 2020, many vital services including telecommunications, utilities, and health care systems had not yet been repaired. OBJECTIVES: To (1) review the immediate public health problems and the longer-term repercussions of Hurricane Maria; (2) identify pre-existing infrastructural deficiencies, health disparities, and problems in governance that may have increased vulnerability and delayed recovery; and (3) offer proposals for preventive measures to increase resiliency and adequately prepare Puerto Rico for future disasters. METHODS: Data from the CDC and the Puerto Rico’s Health Department were collected and analyzed. Government publications, news articles, scholarly journal entries and previous research were examined. Interviews were conducted with local citizens and public health professionals. The author’s personal experience is referenced. FINDINGS: The Puerto Rican Electric Power Authority (PREPA) and the Puerto Rico Aqueduct and Sewer Authority (PRASA) both had severely weakened infrastructures before the hurricane as a result of a massive financial crisis that had begun in 2006. These pre-existing weaknesses increased vulnerability and made reconstruction more challenging. Approximately 95% of the cell towers in Puerto Rico sustained significant damage during the hurricane and resulted in almost total loss of cell phone communication [3]. Subpar management of relief efforts by both federal agencies and the local government further hindered recovery, resulting in mass emigration of Puerto Ricans. The public health problems of Hurricane Maria continue to plague Puerto Rico’s citizens and will have long-term consequences. CONCLUSION: Lack of resilience in Puerto Rico’s infrastructure and government agencies rendered the island highly vulnerable to the detrimental effects of Hurricane María. Improvements to infrastructures and a transition towards a more sustainable way of life could improve Puerto Rico’s preparation and response to future disasters – natural and human-made.
OBJECTIVES: Patients with end stage kidney disease (ESKD) are at higher risk for increased mortality and morbidity due to disaster-related disruptions to care. We examine effects of Hurricanes Irma and Maria on access to dialysis care for US Department of Veterans Affairs (VA) ESKD patients in Puerto Rico. METHODS: A retrospective, longitudinal cohort study was conducted among VA patients with at least 1 dialysis-related encounter between September 6, 2016, and September 5, 2018. The annual number of dialysis encounters, visits to an emergency department (ED), and the number of deaths pre- and post-hurricanes were compared. A random effects logistic regression model for correlated binary outcomes was fitted for predictors of mortality. Chi-square tests were for differences between pre- and post-hurricane visits. RESULTS: The number of ED visits increased in post-hurricane period (1172 [5.7%] to 1195 [6.6%]; P < 0.001). ESKD-related ED visits increased from 200 (0.9%) to 227 (1.3%) (P < 0.05). Increase in mortality was associated with age (OR = 1.66; CI: 1.23-2.17), heart failure (OR = 2.07; CI: 1.26-3.40), chronic pulmonary disease (OR = 3.26; CI: 1.28-8.28), and sepsis (OR = 3.16; CI: 1.89-5.29). CONCLUSIONS: There was an increase in dialysis services at the San Juan VA Medical Center post-Irma/Maria, and access to dialysis care at the non-VA clinics was limited. The role of VA dialysis centers in providing care during disasters warrants further investigation.
OBJECTIVES: In recent years, catastrophic hurricanes have devastated numerous areas, prompting a need to build resilience particularly in at-risk populations that rely on health care and social services. The Maternal and Child Health (MCH) workforce covers a wide breadth of services to pregnant women, families, and children with special health care needs. Research has noted the need to strengthen this workforce with training and skills to help their patients and clients prepare, respond, and recover from disasters. METHODS: Focus groups and interviews with 35 Florida parents and professionals impacted by Hurricanes Irma, Maria, and Michael were conducted to evaluate the stressors placed on systems of care serving mothers and infants in Florida. Journey mapping was used to explore opportunities for improving MCH training and services. RESULTS: Results highlight the importance of increased communication and collaboration between families and providers, coordination among health care and social services providers, effective public messaging, tailored preparedness materials and processes, and the need for post-disaster mental health services and employment resources. CONCLUSION: Ultimately, hurricane preparation and mitigation are key for improving community resilience and these efforts should be tailored to MCH populations as well as delivered by the providers who know their needs best.
BACKGROUND: In September 2017, hurricanes Irma and Maria affected Puerto Rico (PR) and the US Virgin Islands (USVI), causing major disruptions in basic services and health care. This study documented the stressors and experiences of patients with gynecologic cancer receiving oncology care in PR following these hurricanes. METHODS: We conducted 4 focus groups (December 2018-April 2019) among women aged ≥21 years from PR who were diagnosed with gynecological cancer between September 2016 and September 2018 (n = 24). Using the same eligibility criteria, we also interviewed patients from the USVI (n = 2) who were treated in PR. We also conducted key-informant interviews with oncology care providers and administrators (n = 23) serving gynecologic cancer patients in PR. Discussions were audio-recorded, transcribed verbatim, and coded to identify emergent themes using a constant comparison method. RESULTS: Analyses of focus group discussions and interviews allowed us to identify the following emergent themes: 1) disruptions in oncology care were common; 2) communication between oncology providers and patients was challenging before and after the hurricanes hit; 3) patient resilience was key to resume care; and 4) local communities provided much-needed social support and resources. CONCLUSIONS: This study provides firsthand information about the disruptions in oncology care experienced by and the resiliency of women with gynecologic cancer following hurricanes Irma and Maria. Our findings underscore the need to incorporate oncology care in the preparedness and response plans of communities, health systems, and government agencies to maintain adequate care for cancer patients during and after disasters such as hurricanes.
BACKGROUND: After its landfall in Puerto Rico in 2017, Hurricane Maria caused the longest blackout in United States history, producing cascading effects on a health care system that had already been weakened by decades of public sector austerity and neoliberal health reforms. This article addresses how health care professionals and administrators experienced the health care system’s collapse and the strategies used by them to meet their communities’ health needs. METHODS: Data were collected between September 2018 and February 2020. Ethnographic observations in health care facilities and semi-structured qualitative interviews with representatives of the health care system were conducted. This paper focuses on data from interviews with health care providers (n?Çë=?Çë10) and administrators (n?Çë=?Çë10), and an ethnographic visit to a pop-up community clinic. The analysis consisted of systematic thematic coding of the interview transcripts and ethnographic field notes. RESULTS: Results provide insight on how participants, who witnessed first-hand the collapse of Puerto Rico’s health care system, responded to the crisis after Maria. The prolonged power outage and lack of a disaster management plan were partly responsible for the death of 3,052 individuals who experienced extended interruptions in access to medical care. Participants reported a sense of abandonment by the government and feelings of mistrust. They also described the health sector as chaotic and lacking clear guidelines on how to provide services or cope with personal crises while working under extreme conditions. In such circumstances, they developed resilient responses to meet communities’ health needs (e.g., itinerant acupuncture services, re-locating physicians to local pharmacies). CONCLUSIONS: Participants’ narratives emphasize that the management of Hurricane Maria was fraught with political and economic constraints affecting Puerto Rico. Ineffective planning and post-Maria responses of the local and federal governments were determinants of the disaster’s impact. The findings contribute to a growing scientific literature indicating that Hurricane Maria revealed ‘the collapse before the collapse,’ alluding to the structural deficiencies that presaged the catastrophic event. In the context of governmental abandonment, the authors argue for the importance of developing alternative strategies in post-disaster health care provision among health professionals and administrators who work at the front lines of recovery.
OBJECTIVE: The aim of this study was to compare primary care appointment disruptions around Hurricanes Ike (2008) and Harvey (2017) and identify patterns that indicate differing continuity of primary care or care systems across events. METHODS: Primary care appointment records covering 5 wk before and after each storm were identified for Veterans Health Affairs (VA) facilities in the greater Houston and surrounding areas and a comparison group of VA facilities located elsewhere. Appointment disposition percentages were compared within and across storm events to assess care disruptions. RESULTS: For Hurricane Harvey, 14% of primary care appointments were completed during the week of landfall (vs 33% for Hurricane Ike and 69% in comparison clinics), and 49% were completed the following week (vs 58% for Hurricane Ike and 71% for comparison clinics). By the second week after Hurricane Ike and third week after Harvey, the scheduled appointment completion percentage returned to prestorm levels of approximately 60%. CONCLUSIONS: There were greater and more persistent care disruptions for Hurricane Harvey relative to Hurricane Ike. As catastrophic emergencies including major natural disasters and infectious disease pandemics become a more recognized threat to primary and preventive care delivery, health-care systems should consider implementing strategies to monitor and ensure primary care appointment continuity.
BACKGROUND/PURPOSE: Extreme events such as hurricanes adversely impact healthcare systems and the communities they serve. The degree to which hurricanes affect healthcare use among high need groups such as older adults with chronic conditions has not been well examined, nor has the impact of hurricane severity on health outcomes. We characterized hospitalizations among older adults by chronic condition after eight large-scale hurricanes in the United States. METHODS: Using a combination of administrative healthcare data and the Federal Emergency Management Agency’s Disaster Declaration database we conducted a self-controlled case series analysis. We identified Medicare beneficiaries who were exposed to one of eight hurricanes and compared hospitalizations in the 30-days after a hurricane to hospitalizations in the rest of the calendar year of the hurricane. We examined hospitalizations (1) in total, (2) separately for diabetes, congestive heart failure (CHF) and chronic obstructive pulmonary disease (COPD) admissions, and (3) by hurricane damage category. RESULTS: Among all older adults exposed, hospitalizations in the 30-day period after each disaster increased for all three chronic conditions; diabetes (incidence rate ratio [IRR] = 1.06, 95% confidence interval [CI] 1.03, 1.10), COPD (IRR = 1.06, 95% CI 1.04, 1.08), and CHF (IRR = 1.19, 95% CI 1.17, 1.21. In the 30-to-60-day period hospitalizations also increased for each chronic condition; diabetes (IRR = 1.06, 95% CI 1.03, 1.10), COPD (IRR = 1.12, 95% CI 1.10, 1.15), and CHF (IRR = 1.32, 95% CI 1.30, 1.34). Substantial differences in hospitalizations were observed according to individual hurricane and by the chronic disease examined. CONCLUSION: Exposure to hurricanes is associated with an increase in hospitalizations for chronic conditions across all hurricane damage categories. As disasters are expected to increase in strength and frequency, our results underscore the need for response strategies and health policy planning for healthcare systems designed to address the health needs of older Americans with chronic conditions.
Following hurricanes, there can be increases in exacerbations of chronic diseases, such as asthma. Asthma is common among children, and many asthma exacerbations can be prevented. This systematic literature review assessed literature describing the impact of hurricanes on children with asthma in the United States. Medline, Embase, Global Health, PubMed, and Scopus databases were searched for peer-reviewed, English-language articles published January 1990 to June 2019 that described the effect of a hurricane on children with asthma. This search identified 212 articles; 8 met inclusion criteria. All 8 were related to Hurricane Katrina, but research questions and study design varied. Articles included information on asthma after hurricanes from cross-sectional surveys, retrospective chart review, and objective clinical testing. Four articles described discontinuity in health insurance, asthma-related health care, or asthma medication use; and 3 articles examined the relationship between mold exposure and asthma symptoms and reported varying results. The eighth study quantified the burden of asthma among people visiting mobile medical units but did not describe factors associated with asthma symptoms. These results highlight opportunities for future research (eg, on more recent hurricanes) and disaster preparedness planning (eg, strategies to prevent health-care discontinuity among children with asthma).
Hurricane Maria is regarded as one of the worst natural disasters in United States history as it devasted Puerto Rico (PR) in September 2017. This study compared population-based key health indicators among PR residents pre-and post-Hurricane Maria. We examined Behavioral Risk Factor Surveillance System (BRFSS) PR data from five survey years, including pre-and post-Hurricane Maria: 2015 (N = 4556), 2016 (N = 5765), 2017 (N = 4462), 2018 (N = 4814), and 2019 (N = 4958). The sample consisted of non-institutionalized adults aged ≥ 18 years with access to a landline or a cellular telephone. Using logistic regression we compared health care utilization, health behaviors, and outcomes pre-and post-Hurricane Maria. Models adjusted for age, sex, race, education, employment, income, and marital status (2017 = referent). Compared to 2017, post-hurricane participants were more likely to have a college degree or higher, be currently employed, and not married/partnered. Post-hurricane, participants were less likely to have health insurance coverage (2018 AOR, 95% CI: 0.75, 0.58-0.97) and had lower rates of diabetes (2018 AOR: 0.82, 0.70-0.96). The odds of being overweight/obese were lower pre-hurricane compared to 2017 (2015 AOR, 95% CI: 0.88, 0.79-0.97). There was no statistically significant difference in health behaviors across survey years. Results may suggest that PR residents with lower socioeconomic status and/or chronic illness were more likely to emigrate, resulting in a compositional change in the population post-hurricane. This analysis highlights the need for long-term follow-up of PR residents to better determine the impact of Hurricane Maria, and adequately design public health programs to address healthcare needs, access, and outcomes.
OBJECTIVE: To assess changes in the availability of mental health crisis services in Puerto Rico relative to US states before and after Hurricanes Maria and Irma. DATA SOURCES/STUDY SETTING: National Mental Health Services Surveys conducted in 2016 and 2020. STUDY DESIGN: Repeated cross-sectional design. The independent variable was mental health facility location in Puerto Rico or a US state. Dependent variables were the availability of three mental health crisis services (psychiatric emergency walk-in services, suicide prevention services, and crisis intervention team services). DATA COLLECTION/EXTRACTION METHODS: The proportion and per 100,000 population rate of facilities offering crisis services were calculated. PRINCIPAL FINDINGS: The availability of crisis services at mental health facilities in Puerto Rico remained stable between 2016 and 2020. These services were offered less at indigent care facilities in Puerto Rico than US states (e.g., 38.2% vs. 49.5% for suicide prevention, p = 0.06) and the magnitude of difference increased following Hurricane Maria. CONCLUSIONS: There are disparities between Puerto Rico and US states in the availability of mental health crisis services for indigent patients.
OBJECTIVE: Research indicates that greater exposure to Hurricane Sandy is associated with increased mental health difficulties. This study examined whether Project Restoration, a program that linked adults into mental health care (L2C), was effective in reducing post-Sandy mental health difficulties as compared to a cohort of adults matched on mental health difficulties that were not linked into post-Sandy mental health care. METHODS: Project Restoration participants (n = 52) with elevated self-reported mental health difficulties had the option to enroll into L2C. Project LIGHT (n = 63) used similar methodologies but did not have a L2C component and served as the matched control group. RESULTS: Multivariable modeling showed significant decreases in all mental health difficulties except for depression in the Project Restoration group, whereas there were no significant decreases in LIGHT. The decrease in anxiety from baseline to follow-up was significantly greater for Project Restoration as compared to LIGHT. CONCLUSION: Findings confirm the powerful impact community outreach and treatment have on reducing mental health difficulties after a disaster.
OBJECTIVES: To examine whether hurricane exposure, lack of access to medical care (LAMC), and displacement during Hurricane Sandy were associated with PTSD and other mental health (MH) symptoms among older adult New York residents. METHODS: Participants (N = 411) were ≥60 years old at the time of survey data collection (1-4 years post-Sandy). Outcomes included PTSD, depression, and anxiety symptoms and stress. Hurricane exposure, displacement, and LAMC were primary predictors. RESULTS: Older adults with greater hurricane exposure had increased PTSD, anxiety, and stress symptoms. LAMC had a strong association (ORadj = 4.11) with PTSD symptoms but was not associated with other MH symptoms. Displacement was not associated with MH outcomes. DISCUSSION: This is the first study to examine exposure, displacement, and LAMC together and to examine their varying impacts on different MH outcomes among older adults post-hurricane. Findings support the importance of disaster preparedness interventions tailored to the MH needs of community-dwelling older adults.
Early forecasts give people in a storm’s path time to prepare. Less is known about the cost to society when forecasts are incorrect. In this observational study, we examine over 700,000 births in the path of Hurricane Irene and find exposure was associated with impaired birth outcomes. Additional warning time was associated with decreased preterm birth rates for women who experienced intense storm exposures documenting a benefit of avoiding a type II forecasting error. A larger share of this at-risk population experienced a type I forecasting error where severe physical storm impacts were anticipated but not experienced. Disaster anticipation disrupted healthcare services by delaying and canceling prenatal care, which may contribute to storm-impacted birth outcomes. Recognizing storm damages depend on human responses to predicted storm paths is critical to supporting the next generation’s developmental potential with judicious forecasts that ensure public warning systems mitigate rather than exacerbate climate damages.
To support Indigenous communities in preparing for uncertainties such as climate change impacts and unexpected threats to health, there are calls by researchers and community members for decision support tools that meaningfully and sensitively bring together Indigenous contextualized factors such as social dynamics, local- and culture-specific knowledge, and data with academic tools and practices including predictive modeling. This project used a community engaged approach to co-create an agent-based model geographically bounded to a reserve community to examine three community-requested simulations. Community members and researchers co-designed, built, and verified the model simulations: a contaminated water delivery truck; a Pow Wow where a waterborne infectious disease spreads; and a flood which restricts typical movement around the reserve for daily tasks and health care. The simulations’ findings, displayed as both conventional and narrative outputs, revealed management areas where community adaptation and mitigation are needed, including enhancing health service provision in times of disease outbreaks or large community events, and creating back-up plans for overcoming flood impacts to ensure services are accessible for vulnerable members of the community. Recommendations for communities, researchers, and modelers are discussed.
OBJECTIVES: When Hurricane Harvey struck the coastline of Texas in 2017, it caused 88 fatalities and over US $125 billion in damage, along with increased emergency department visits in Houston and in cities receiving hurricane evacuees, such as the Dallas-Fort Worth metroplex (DFW).This study explored demographic indicators of vulnerability for patients from the Hurricane Harvey impact area who sought medical care in Houston and in DFW. The objectives were to characterize the vulnerability of affected populations presenting locally, as well as those presenting away from home, and to determine whether more vulnerable communities were more likely to seek medical care locally or elsewhere. METHODS: We used syndromic surveillance data alongside the Centers for Disease Control and Prevention Social Vulnerability Index to calculate the percentage of patients seeking care locally by zip code tabulation area. We used this variable to fit a spatial lag regression model, controlling for population density and flood extent. RESULTS: Communities with more patients presenting for medical care locally were significantly clustered and tended to have greater socioeconomic vulnerability, lower household composition vulnerability, and more extensive flooding. CONCLUSIONS: These findings suggest that populations remaining in place during a natural disaster event may have needs related to income, education, and employment, while evacuees may have more needs related to age, disability, and single-parent household status.
This paper examines communities’ accessibility to critical facilities such as hospitals, emergency medical services, and emergency shelters when facing flooding. We use travel speed reduction to account for flood-induced partial road failure. A modified betweenness centrality metric is also introduced to calculate the criticality of roads for connecting communities to critical facilities. The proposed model and metric are applied to the Delaware road network under 100-year floods. This model highlights the severe critical facility access loss risk due to flood isolation of facilities. The mapped post-flooding accessibility suggests a significant travel time increase to critical facilities and reveals disparities among communities, especially for vulnerable groups such as long-term care facility residents. We also identified critical roads that are vital for post-flooding access to critical facilities. The results of this research can help inform targeted infrastructure investment decisions and hazard mitigation strategies that contribute to equitable community resilience enhancement.
Purpose This paper describes the educational experiences of children and youth (aged 3-20) with disabilities during school closures resulting from the 2017 Northern California wildfires. Students with disabilities are particularly vulnerable to the adverse impacts of disaster, yet the effects of school closures on these children remains understudied. This study identifies considerations for students with disabilities and their families post-disaster. Design/methodology/approach An inductive, qualitative approach was used for the study design, methodology and analysis. In-depth interviews were conducted with parents of 14 students with disabilities about their experiences during and following school closures. All of these children had missed between a week and over a month of school as a result of the wildfires. Thematic analysis was used to code data and identify four themes present across the data. Findings Our findings indicate that children and youth with disabilities experienced disruptions in school-based services; lost previously acquired skills; exhibited negative health and behavioral issues; had difficulties adapting to new, unfamiliar routines and were saddened by lost social connections. Additionally, findings pinpoint the importance of social connections while schools were closed, the benefits of resuming school which included access to responsive school staff, as well as challenges faced by children with disabilities and their families once schools reopened. Originality/value Families of children with disabilities, as illustrated in this study, often must transverse a different post-disaster landscape. Schools should assist them in navigating that landscape so students with disabilities can experience a more equitable return to education post-disaster.
In October of 2017 and 2019, Sonoma County California endured historic wildfires and subsequent community trauma. The Sonoma Wildfire Mental Health Collaborative was created to (a) democratize access to evidence-based mental health resources and services for personal recovery and long-term community resilience building, and to (b) measure the reach and efficacy of the strategies employed in order to create a knowledge base to inform disaster response in other communities. Offerings included a mind-body yoga program and training in Skills for Psychological Recovery (SPR) for counselors who wished to provide services to individuals impacted by the wildfires. An evaluation of the mental health strategies employed revealed that (a) the mind-body program was well-received, with a high degree of satisfaction and self-reported benefit among individuals who attended trauma-informed yoga classes and (b) counselors found SPR to be a practical, flexible short-term intervention for individuals in the aftermath of the wildfires and expressed moderate to high levels of intent to use it in practice. Importantly, the evaluation of the 2017 wildfire mental health response was compromised by the Kincade Fire in 2019, in which prolonged mandatory evacuations and power outages impacted response rates. The origin story is shared for how a community collaborative was built. Lessons learned are discussed and recommendations summarized so as to contribute to the science and practice of disaster mental health outreach. Impact Statement In October of 2017 and 2019, Sonoma County, California experienced devastating and historic wildfires and subsequent community trauma. This manuscript describes the origin story of the Wildfire Mental Health Collaborative and preliminary findings from two mental health interventions employed with wildfire survivors (trauma-informed yoga, Skills for Psychological Recovery). Lessons learned and recommendations are offered to guide future work in the science and practice of disaster mental health.
Extreme temperature events are linked to increased emergency department visits, hospitalizations, and mortality for individuals with behavioral health disorders (BHD). This study aims to characterize risk factors for concurrent temperature-related illness among BHD hospitalizations in New York State. Using data from the NYS Statewide and Planning Research and Cooperative System between 2005-2019, multivariate log binomial regression models were used in a population of BHD hospitalizations to estimate risk ratios (RR) for a concurrent heat-related (HRI) or cold-related illness (CRI). Dementia (RR 1.65; 95% CI:1.49, 1.83) and schizophrenia (RR 1.38; 95% CI:1.19, 1.60) were associated with an increased risk for HRI among BHD hospitalizations, while alcohol dependence (RR 2.10; 95% CI:1.99, 2.22), dementia (RR 1.52; 95% CI:1.44, 1.60), schizophrenia (RR 1.41; 95% CI:1.31, 1.52), and non-dependent drug/alcohol use (RR 1.20; 95% CI:1.15, 1.26) were associated with an increased risk of CRI among BHD hospitalizations. Risk factors for concurrent HRI among BHD hospitalizations include increasing age, male gender, non-Hispanic Black race, and medium hospital size. Risk factors for concurrent CRI among BHD hospitalizations include increasing age, male gender, non-Hispanic Black race, insurance payor, the presence of respiratory disease, and rural hospital location. This study adds to the literature by identifying dementia, schizophrenia, substance-use disorders, including alcohol dependence and non-dependent substance-use, and other sociodemographic factors as risk factors for a concurrent CRI in BHD hospitalizations.
Following the 2016 Horse River Wildfire in northern Alberta, the provincial health authority, the ministry of health, non-profit and charitable organizations, and regional community-based service agencies mobilized to address the growing health and mental health concerns among Indigenous residents and communities through the provision of services and supports. Among the communities and residents that experienced significant devastation and loss were First Nation and Metis residents in the region. Provincial and local funding was allocated to new recovery positions and to support pre-existing health and social programs. The objective of this research was to qualitatively describe the health systems response to the health impacts following the wildfire from the perspective of service providers who were directly responsible for delivering or organizing health and mental wellness services and supports to Indigenous residents. Semi-structured qualitative interviews were conducted with 15 Indigenous and 10 non-Indigenous service providers from the Regional Municipality of Wood Buffalo (RMWB). Interviews were transcribed verbatim and a constant comparative analysis method was used to identify themes. Following service provider interviews, a supplemental document review was completed to provide background and context for the qualitative findings from interviews. The document review allowed for a better understanding of the health systems response at a systems level following the wildfire. Triangulation of semi-structured interviews and organization report documents confirmed our findings. The conceptual framework by Mirzoev and Kane for understanding health systems responsiveness guided our data interpretation. Our findings were divided into three themes (1) service provision in response to Indigenous mental health concerns (2) gaps in Indigenous health-related services post-wildfire and (3) adopting a health equity lens in post-disaster recovery. The knowledge gained from this research can help inform future emergency management and assist policy and decision makers with culturally safe and responsive recovery planning. Future recovery and response efforts should consider identifying and addressing underlying health, mental health, and emotional concerns in order to be more effective in assisting with healing for Indigenous communities following a public health emergency such as a wildfire disaster.
Extreme heat exposure increases the risk for heat-related illnesses (HRIs) and deaths, and comprehensive strategies to prevent HRIs are increasingly important in a warming climate (1). An estimated 702 HRI-associated deaths and 67,512 HRI-associated emergency department visits occur in the United States each year (2,3). In 2020, Phoenix and Yuma, Arizona, experienced a record 145 and 148 days, respectively, of temperatures >100°F (37.8°C), and a record 522 heat-related deaths occurred in the state. HRIs are preventable through individual and community-based strategies*(,)(†); cooling centers,(§) typically air-conditioned or cooled buildings designated as sites to provide respite and safety during extreme heat, have been established in Maricopa and Yuma counties to reduce HRIs among at-risk populations, such as older adults. This analysis examined trends in HRIs by age during 2010-2020 for Maricopa and Yuma counties and data from a survey of older adults related to cooling center availability and use in Yuma County during 2018-2019. Data from CDC’s Social Vulnerability Index (SVI) were also used to overlay cooling center locations with SVI scores. During 2010-2020, heat days, defined as days with an excessive heat warning issued by the National Weather Service Phoenix Office,(¶) for any part of Maricopa and Yuma counties (4), increased in both Maricopa County (1.18 days per year) and Yuma County (1.71 days per year) on average. Adults aged ≥65 years had higher rates of HRI hospitalization compared with those aged <65 years. In a survey of 39 adults aged ≥65 years in Yuma County, 44% reported recent HRI symptoms, and 18% reported electricity cost always or sometimes constrained their use of air conditioning. Barriers to cooling center access among older adults include awareness of location and transportation. Collaboration among diverse community sectors and health profession education programs is important to better prepare for rising heat exposure and HRIs. States and communities can implement adaptation and evaluation strategies to mitigate and assess heat risk, such as the use of cooling centers to protect communities disproportionately affected by HRI during periods of high temperatures.
We examine the impact of temperature on mortality in Mexico using daily data over the period 1998-2017 and find that 3.8 percent of deaths in Mexico are caused by suboptimal temperature (26,000 every year). However, 92 percent of weather-related deaths are induced by cold (<12 degrees C) or mildly cold (12-20 degrees C) days and only 2 percent by outstandingly hot days (>32 degrees C). Furthermore, temperatures are twice as likely to kill people in the bottom half of the income distribution. Finally, we show causal evidence that the Seguro Popular, a universal health care policy, has saved at least 1,600 lives per year from cold weather since 2004.
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.
Understanding whether and how wildfires exacerbate COVID-19 outcomes is important for assessing the efficacy and design of public sector responses in an age of more frequent and simultaneous natural disasters and extreme events. Drawing on environmental and emergency management literatures, we investigate how wildfire smoke (PM(2.5)) impacted COVID-19 infections and deaths during California’s 2020 wildfire season and how public housing resources and hospital capacity moderated wildfires’ effects on COVID-19 outcomes. We also hypothesize and empirically assess the differential impact of wildfire smoke on COVID-19 infections and deaths in counties exhibiting high and low social vulnerability. To test our hypotheses concerning wildfire severity and its disproportionate impact on COVID-19 outcomes in socially vulnerable communities, we construct a county-by-day panel dataset for the period April 1 to November 30, 2020, in California, drawing on publicly available state and federal data sources. This study’s empirical results, based on panel fixed effects models, show that wildfire smoke is significantly associated with increases in COVID-19 infections and deaths. Moreover, wildfires exacerbated COVID-19 outcomes by depleting the already scarce hospital and public housing resources in local communities. Conversely, when wildfire smoke doubled, a one percent increase in the availability of hospital and public housing resources was associated with a 2 to 7 percent decline in COVID-19 infections and deaths. For California communities exhibiting high social vulnerability, the occurrence of wildfires worsened COVID-19 outcomes. Sensitivity analyses based on an alternative sample size and different measures of social vulnerability validate this study’s main findings. An implication of this study for policymakers is that communities exhibiting high social vulnerability will greatly benefit from local government policies that promote social equity in housing and healthcare before, during, and after disasters.
OBJECTIVE: Afghanistan, with one of the world’s largest refugee populations, suffers an enormous burden of injury resulting in loss of life. This study aims to identify the epidemiology of injuries or death in the crisis-affected populations across Afghanistan and to investigate factors associated with injuries or deaths due to traumatic events. DESIGN: Cross-sectional study. SETTING: This study analysed Whole Afghanistan Assessment 2019 data. This survey geographically covered all 34 accessible provinces in Afghanistan. PARTICIPANTS: 31 343 displaced and shock-affected households in Afghanistan. PRIMARY AND SECONDARY OUTCOME MEASURES: Injury or death of household members due to traumatic events. RESULTS: 2561 (8.2%) reported at least one household member had been injured or deceased because of a significant conflict or natural disaster in the past year. Households experienced significant events such as active conflict or violence (prevalence ratio, PR=5.575, p<0.001), earthquake (PR=3.118, p=0.004), flood (PR=1.534, p=0.008) and avalanche or heavy snowfall (PR=3.450, p<0.001) were significantly associated with injury or death. The likelihood of injury or death was significantly higher for long-distance households than for households living within a 5 km radius of the nearest healthcare facilities (6-10 km: PR=1.402, p=0.030; >10 km: PR=1.560, p=0.020). CONCLUSION: The study provides an epidemiological profile of injuries or death in crisis-affected populations across Afghanistan. Results also suggest that certain factors place the crisis-affected populations in Afghanistan at high risk for injuries or death, which can inform the development of surveillance and prevention programmes, the monitoring of patterns over time and the formulation of healthcare policies.
The objective of this article is to examine the role of doctors and health professionals in communicating the health impacts of climate change and exploring how achieving climate objectives is co-beneficial to public health objectives. This article identifies the main interpretative frameworks for climate change communication identified in the literature, contextualizes the challenge of climate communication in the field of public health, and analyses the element of trust, without which the communication process is likely to fail. Awareness-raising strategies must therefore create appropriate contexts that allow the public to perceive climate change as a relevant and immediate issue. Further, to be properly considered, such information must be issued from a source the public trusts. After providing a general framework within which to examine the role of doctors and health professionals in climate communication, message content is examined along with trust in message sources and in the medical profession, and the perceptions among and training of medical professionals concerning the climate challenge are considered.The literature reviewed in this article represents the body of climate change communication research related to the role of the doctor, an area of growing interest. This review provides a timely and complete analysis of the literature on the subject with the goal of starting a necessary, but too-long postponed, multidisciplinary dialogue.
BACKGROUND: When natural disasters strike, there is a sudden decrease in access to care due to infrastructure loss and displacement. A pandemic has the similar ability to acutely limit access to care. The relationship between decreased access to care and natural disasters has been previously explored. OBJECTIVE: The purpose of this article is to present a focused review of the available and emerging literature regarding the overall impact of natural disasters and pandemics on unintended pregnancy and decreased care in this setting. METHODS: A literature search was conducted on PubMed, Cochrane, Google Scholar, and Embase databases. The search was restricted to studies that were population-based, prospective or retrospective. Only peer-reviewed articles were considered. The search was further restricted to manuscripts in English or officially translated manuscripts. All qualifying papers from which data were extracted were subjected to a quality assessment conducted by two independent investigators (SK and AA). Each investigator reviewed all nine papers relevant to data collection using the Effective Public Health Practice Project (EPHP). MeSH terms were utilized across various databases. Studies were selected that were population-based, prospective or retrospective. Case reports and case series were not used. The primary outcomes were the rates of unintended pregnancy. Secondary outcomes included the use of contraception, short interval pregnancy, and access to reproductive services. RESULTS: An initial search yielded 74 papers, of which nine papers were reviewed for qualitative data, examining the subjects affected by natural disasters or pandemics. An additional two papers regarding theoretical data and COVID-19 were analyzed. Although there seems to be a rise in unintended pregnancy and more difficulty accessing care following natural disasters and pandemics, there are variations in the rates based on region and event. CONCLUSIONS: The full effects of the COVID-19 pandemic on the rates of unplanned pregnancies will become apparent in the months and years to come. As obstetrician-gynecologists, we must communicate openly with our patients regarding the use of available contraception, sexual education, and family planning services at times of natural disasters and pandemics.
Least developed countries (LDCs) are home to over a billion people throughout Africa, Asia-Pacific, and the Caribbean. The people who live in LDCs represent just 13% of the global population but 40% of its growth rate. Characterised by low incomes and low education levels, high proportions of the population practising subsistence living, inadequate infrastructure, and lack of economic diversity and resilience, LDCs face serious health, environmental, social, and economic challenges. Many communities in LDCs have very limited access to adequate sanitation, safe water, and clean cooking fuel. LDCs are environmentally vulnerable; facing depletion of natural resources, the effects of unsustainable urbanization, and the impacts of climate change, leaving them unable to safeguard their children’s lifetime health and wellbeing. This paper reviews and describes the complexity of the causal relationships between children’s health and its environmental, social, and economic influences in LDCs using a causal loop diagram (CLD). The results identify some critical feedbacks between poverty, family size, population growth, children’s and adults’ health, inadequate water, sanitation and hygiene (WASH), air pollution, and education levels in LDCs and suggest leverage points for potential interventions. A CLD can also be a starting point for quantitative systems science approaches in the field, which can predict and compare the effects of interventions.
BACKGROUND: The escalating negative impact of climate change on our environment has the potential to result in significant morbidity of rhinologic diseases. METHODS: Evidence based review of examples of rhinologic diseases including allergic and nonallergic rhinitis, chronic rhinosinusitis, and allergic fungal rhinosinusitis was performed. RESULTS: The lower socioeconomic population, including historically oppressed groups, will be disproportionately affected. CONCLUSIONS: We need a systematic approach to improve healthcare database infrastructure and funding to promote diverse scientific collaboration to address these healthcare needs.
Catastrophic events can range from natural disasters such as Hurricane Maria which devastated Puerto Rico on September 20, 2017[1] to mass casualty terrorist attacks such as when the World Trade Center was destroyed on September 11, 2001. Hydrometeorological catastrophes such as hurricanes, tornadoes, and floods are predictable. On the other hand, geologic disasters such as earthquakes are not. Many natural disasters affect the entire infrastructure from buildings, roads, electricity, and communication. While natural disasters can affect all, they disproportionately affect the poor and vulnerable. Terrorist attacks will usually affect urban areas as they have an intentional goal to cause as many victims as possible. Complex humanitarian emergencies result in deaths from violence as well as disease. A multi-casualty incident (MCI) is an event in which the resources available (rescue personnel, healthcare providers, facilities, and equipment) are insufficient to deal with the incident. In a disaster, not only are there not enough resources, but there is a complete breakdown in communication and the ability to deliver these resources. The local rescue workers and health care personnel, may themselves become the victims or be unable to arrive at work. The local health care facilities may be damaged or destroyed.
This paper explores the relationship between climate change and reproductive injustice. It does so by highlighting several ethical concerns that warrant public policy attention at the intersection of full bodily autonomy and the transition to a carbon neutral economy. In Section one, the climate change science literature addressing the health and social harm disparities for low-income communities is summarized. This summary emphasizes the effects of this harm for poor women and girls of color. In Section two, the jurisprudential history regarding full bodily autonomy and reproductive justice is presented. This recounting draws attention to the historical legacy of inequality based on race, gender, and class. In Section three, the ethical implications of climate change are presented and discussed through the analytical lens of green criminology and reproductive justice. These implications include a feminist reclaiming of full bodily autonomy for poor women and girls of color, given the health and social inequalities they disproportionately experience.
Health problems of women experiencing homelessness are driven either from the usual background characteristics of this population, or from the homeless lifestyle. Apart from poverty and unemployment, transition to homelessness is often associated with substance abuse, history of victimization, stress, poor mental health and human immunodeficiency virus (HIV). Water insecurity can undermine bodily hygiene and dental health, posing a greater risk of dehydration and opportunistic infections. Exposure to extreme environmental conditions like heat waves and natural disasters increases morbidity, accelerates aging, and reduces life expectancy. Nutrition-wise, a high prevalence of food insecurity, obesity, and micronutrient deficiencies are apparent due to low diet quality and food waste. Poor hygiene, violence, and overcrowding increase the susceptibility of these women to communicable diseases, including sexually transmitted ones and COVID-19. Furthermore, established cardiovascular disease and diabetes mellitus are often either undertreated or neglected, and their complications are more widespread than in the general population. In addition, lack of medical screening and contraception non-use induce a variety of reproductive health issues. All these health conditions are tightly related to violations of human rights in this population, including the rights to housing, water, food, reproduction, health, work, and no discrimination. Thus, the care provided to women experiencing homelessness should be optimized at a multidimensional level, spanning beyond the provision of a warm bed, to include access to clean water and sanitation, psychological support and stress-coping strategies, disease management and acute health care, food of adequate quality, opportunities for employment and support for any minor dependants.
Five billion people lack access to surgical care worldwide; climate change is the biggest threat to human health in the 21st century. This review studies how climate change could be integrated into national surgical planning in the Western Pacific region. We searched databases (PubMed, Web of Science, and Global Health) for articles on climate change and surgical care. Findings were categorised using the modified World Health Organisation Health System Building Blocks Framework. 220 out of 2577 records were included. Infrastructure: Operating theatres are highly resource-intensive. Their carbon footprint could be reduced by maximising equipment longevity, improving energy efficiency, and renewable energy use. Service delivery Tele-medicine, outreaches, and avoiding desflurane could reduce emissions. Robust surgical systems are required to adapt to the increasing burden of surgically treated diseases, such as injuries from natural disasters. Finance: Climate change adaptation funds could be mobilised for surgical system strengthening. Information systems: Sustainability should be a key performance indicator for surgical systems. Workforce: Surgical providers could change clinical, institutional, and societal practices. Governance: Planning in surgical care and climate change should be aligned. Climate change mitigation is essential in the regional surgical care scale-up; surgical system strengthening is also necessary for adaptation to climate change.
The past several decades have been marked by an increasing occurrence of climate events worldwide, and consequentially, there has been growing study of the health impacts in exposed populations. While a plethora of studies have investigated the impact of climate change on health or migration, there is a smaller body of literature where these three concepts overlap, and an even smaller proportion of these are qualitative studies. Thus, this review sought to assess the breadth of the available qualitative literature on climate change as a primary driver for migration and the related health contexts. Our findings highlight the nuances of climate-influenced migration decisions and the challenges experienced by populations who have left their homes because of climate change impacts. Further research should focus on the health experiences and migration decisions of those exposed to climate change hazards to identify appropriate multi-level interventions in disaster planning and response.
The definitions and conceptualizations of health, and the management of healthcare have been challenged by the current global scenarios (e.g., new diseases, new geographical distribution of diseases, effects of climate change on health, etc.) and by the ongoing scholarship in humanities and science. In this paper we question the mainstream definition of health adopted by the WHO-‘a state of complete physical, mental and social well-being and not merely the absence of disease or infirmity’ (WHO in Preamble to the constitution of the World Health Organization as adopted by the international health conference, The World Health Organization, 1948)-and its role in providing tools to understand what health is in the contemporary context. More specifically, we argue that this context requires to take into account the role of the environment both in medical theory and in the healthcare practice. To do so, we analyse WHO documents dated 1984 and 1986 which define health as ‘coping with the environment’. We develop the idea of ‘coping with the environment’, by focusing on two cardinal concepts: adaptation in public health and adaptivity in philosophy of biology. We argue that the notions of adaptation and adaptivity can be of major benefit for the characterization of health, and have practical implications. We explore some of these implications by discussing two recent case studies of adaptivity in public health, which can be valuable to further develop adaptive strategies in the current pandemic scenario: community-centred care and microbiologically healthier buildings.
In this paper, we present a narrative review of primary research on the health impacts of extreme weather events in urban informal settlements published between 1990 and June 2021. We include 54 studies and examine the health impacts of extreme weather events and how these were determined. We find that these events impact health directly by causing mortality, injury and disease and through indirect pathways by impacting livelihoods, access to healthcare, coping strategies and adaptive capacity. Drawing on the social determinants of health framework to frame our analysis, we find that health impacts are determined by multiple intersecting factors, relating to individual circumstances, material conditions, health status, and political and socio-economic context. Consequently, vulnerability varies between and within informal settlements. Overall, we show that responding to and minimising these health impacts requires an intersectional approach to understand and address these contextual root causes of vulnerability.
The methodology and results of economic assessment and forecasting of the consequences of the most negative global climate change IPCC scenario (RCP 8.5) representative for the conditions of the Russian Arctic in the form of thawing and degradation of permafrost for healthcare facilities in eight Arctic regions of the Russian Federation are discussed. It is shown that the additional costs associated with these consequences for the maintenance and restoration of healthcare facilities in 2021-2050 may amount to about ₽60 bln, or about ₽2 bln per year (in 2021 prices) at the average rate of permafrost degradation and increase thawing depth, rising to ₽219 bln (₽7.5 bln bln annually) under the maximum expected damage.
Floods affected more than 2 billion people worldwide from 1998 to 2017 and their occurrence is expected to increase due to climate warming, population growth and rapid urbanization. Recent approaches for understanding the resilience of transportation networks when facing floods mostly use the framework of percolation but we show here on a realistic high-resolution flood simulation that it is inadequate. Indeed, the giant connected component is not relevant and instead, we propose to partition the road network in terms of accessibility of local towns and define new measures that characterize the impact of the flooding event. Our analysis allows to identify cities that will be pivotal during the flooding by providing to a large number of individuals critical services such as hospitalization services, food supply, etc. This approach is particularly relevant for practical risk management and will help decision makers for allocating resources in space and time.
In the recent years, the effects of extreme climate phenomena (mainly heat-related) on agricultural crops, infrastructure and human health have become increasingly severe as a result of their complex interactions with the particularities of the urban/rural habitat, as well as the social and economic factors. In Romania, heat-related phenomena (e.g. drought, heat waves) are affecting wide areas in the southern half of the territory where the study area (Bucharest Metropolitan Area) lies. The paper aims to develop a multi-criteria vulnerability assessment using both quantitative and qualitative methods. 23 indicators were selected and processed in order to assess various components of socio-economic and environmental vulnerability to heat-related phenomena using the statistical data available at local administrative units (LAU). The indicators were grouped into the three key components of vulnerability (potential exposure, sensitivity and adaptive capacity) on two dimensions (socio-economic and environmental) resulting two indexes: Socio-Economic Vulnerability Index (SEVI) and Environmental Vulnerability Index (EVI). Finally, an integrated Heat Vulnerability Index (HVI) (using Hull score, average 50 and standard deviation 14) was computed.
Climate change is producing more extremes and increasing the number and magnitude of risks that impact people’s lives, so identifying and understanding local climate risks is a long but essential process for defining adaptation strategies. The availability of technologies to sensitize and educate people about risks, and to assist people with becoming active observers and monitors of climatic elements has helped to promote permanent surveillance and proactive attitudes towards climatic phenomena that lead to undesirable risks. This paper proposes a methodological approach to guide citizens moving around the city when extreme temperatures occur, minimizing climatic risks and negative health comes, using a very simple method based on Landsat 8 temperature data images at a subsection spatial scale level. The results obtained indicate the places of higher extreme temperatures risks, as well as some of the potential places that people can use to protect themselves. This work demonstrates the value of mapping climatic factors at a local scale and deliver tailored and accurate maps with the places suitable for alleviating bioclimatic stresses and the places that should be avoided.
The aim of the study is to evaluate the association between summer temperatures and emergency department visits (EDVs) in Bologna (Italy) and assess whether this association varies across areas with different socioeconomic and microclimatic characteristics. We included all EDVs within Bologna residences during the summers of 2010-2019. Each subject is attributed a deprivation and a microclimatic discomfort index according to the residence. A time-stratified case-crossover design was conducted to estimate the risk of EDV associated with temperature and the effect modification of deprivation and microclimatic characteristics. In addition, a spatial analysis of data aggregated at the census block level was conducted by applying a Poisson and a geographically weighted Poisson regression model. For each unit increase in temperature above 26 °C, the risk of EDV increases by 0.4% (95%CI: 0.05-0.8). The temperature-EDV relationship is not modified by the microclimatic discomfort index but rather by the deprivation index. The spatial analysis shows that the EDV rate increases with deprivation homogeneously, while it diminishes with increases in median income and microclimatic discomfort, with differences across areas. In conclusion, in Bologna, the EDV risk associated with high temperatures is not very relevant overall, but it tends to increase in areas with a low socioeconomic level.
Vietnam is a densely populated country, with the majority of its impoverished people living in rural areas. These people lack facilities and means of self-protection against risks, especially natural disasters related to climate change. Therefore, it is necessary to study the livelihood vulnerability under climate change in rural regions of Vietnam. The study was based on the original Livelihood Vulnerability Index (LVI) and LVI-IPCC (the Intergovernmental Panel on Climate Change) combined with the use of dataset from the Vietnam Access to Resources Household Survey (VARHS) in 2018. by using the dataset from the Vietnam Access to Resources Household Survey (VARHS) in 2018. The database is composed of 1,852 rural households in 12 provinces in Vietnam and considers socio-demographic profile, livelihood, health, food, social networks, water status, natural disasters, and climate variability. The results show that the North Central and South Central Coasts are the most vulnerable regions, with a lower LVI score (0.261) but higher LVI-IPCC score (0.012); this is mainly due to higher exposure to disasters-such as floods, sea storms, and tropical depressions-which heavily affect people’s livelihood. The Red River Delta, the Northern Midlands and Mountains, and the Central Highlands are moderately vulnerable. Moreover, the research outcome indicates that the Red River Delta and the Mekong River Delta were more vulnerable in terms of the sensitivity factor due to a higher vulnerability score on food and water components, especially drought and saltwater intrusions
Recent super-typhoons and torrential rains triggered by global warming have had disproportionately large effects on medically vulnerable people in Japan. This study aimed to identify factors associated with intention to evacuate to the nearest public shelter among family caregivers of pediatric patients receiving home medical care. The study included family caregivers of these patients from the Department of Pediatrics, Fukuoka University Hospital, Japan, including family caregivers of young adults with special healthcare needs. An original questionnaire was prepared drawing on previous studies and used for an interview survey. Overall, 57 individuals provided valid data and were included in the analysis. Factors associated with evacuation intention were non-use of a home ventilator (odds ratio [OR] 3.99, 95% confidence interval [CI]: 1.13-14.03) and not having made arrangements to use a non-public shelter (OR 7.29 95% CI: 1.62-32.88). This means that those who use mechanical ventilation or have secured alternative places to go if they need to evacuate their homes may not use the nearest public shelter in a disaster. We recommend that policy makers consider the use of mechanical ventilation and the availability of non-public shelters as predictors of evacuation behavior when considering disaster preparedness for these patients.
Background: Floods are the most common natural disaster which may have substantial impacts on the human health and life and the environment. In recent years, Iran have faced many floods and it seems that increasing impacts of floods in Iran are attributed to inadequate preparation and no well-established strategies and guidelines for response by health sector and other related response organizations. So, this study was conducted to review the current plans in the world to identify the required elements of the flood emergency response plan to prevent its consequences on the health sector in Iran. Methods: A comprehensive review was performed through search on electronic data bases, including, Medline, Scopus, ProQuest, and e-journals which were accessible during 2010-2020. The keywords were response plan, flood, requirements, guidelines, and health sector. Data were collected using data extraction form and analyzed through content analysis. Results: In the initial search, 960 possible sources of flood response were identified. After excluding duplicate papers and the documents that did not contribute to the flood response plan, 64 articles and programs or guidelines that all them has been reviewed, were obtained. The findings were divided into two groups, response prerequisites and response activities. Conclusion: This review provided a complete view of the flood consequences for the health sector and allows professionals to incorporate facets of the health effect of floods into a flood response plan. The flood response plan was divided into two general categories: Initial and specific, each of which plays an important role in preventing the negative effects of the floods.
The east coast of Malaysia is frequently hit by monsoon floods every year that severely impact people, particularly those living close to the river bank, which is considered to be the most vulnerable and high-risk areas. We aim to determine the most vulnerable area and understand affected residents of this community who are living in the most sensitive areas caused by flooding events in districts of Temerloh, Pekan, and Kuantan, Pahang. This study involved collecting data for vulnerability index components. A field survey and face-to-face interviews with 602 respondents were conducted 6 months after the floods by using a questionnaire evaluation based on the livelihood vulnerability index (LVI). The findings show that residents in the Temerloh district are at higher risk of flooding damage compared to those living in Pekan and Kuantan. Meanwhile, the contribution factor of LVI-Intergovernmental Panel on Climate Change (IPCC) showed that Kuantan is more exposed to the impact of climate change, followed by Temerloh and Pekan. Among all the principal components shown, food components were considered to be the most vulnerable. Meanwhile, water components were categorised as the most invulnerable. Preventive planning involves preserving human life, minimising damage to household products, preserving crops and animals, adequate supply of clean water and food, good health and ensuring financial sustainability as an indication of changing livelihoods, sustainable food-storing systems, and other protective steps to curb damage and injury caused by annual flood strikes. Information generated on LVI assessment and adaptation procedures will help policymakers reduce people’s vulnerability in the face of floods and ensure proper plans are put in place in all relevant areas.
Emergency medical service (EMS) is important for rescuing victims suffering from life-threatening illnesses or accidents, and is highly time-sensitive by nature. Many uncertain contexts in the urban environment can prolong EMS response time and deteriorate its performance. Using the enhanced two-step floating catchment area (E2SFCA) method, this study measures EMS accessibility with the effect of a regular uncertain context (i.e., the city dynamics like time-varying population and traffic) and an irregular uncertain context (i.e., an extreme pluvial flood event which can cause extensive road closures). The results indicate that, in the central urban area of Shanghai, mid-west areas with denser populations have higher accessibility than eastern peripheral areas. Flooding can cause a remarkable decline of accessibility which falls to the lowest point slightly earlier than the time when the worst road connectivity emerges. The night time exhibits better accessibility than especially the peak hours during the daytime. The GWR results reveal that increasing facility richness and road density while decreasing flood-induced road closures have a positive effect on EMS accessibility. The study indicates that both regular and irregular uncertain contextual factors can influence EMS accessibility in a highly complex manner. Carefully taking these uncertainties into account would enable EMS planning in other contexts and regions to face the enormous challenges posed by the changing climate and increasingly complex urban environment.
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.
BACKGROUND: The complex role of urbanisation in heat-mortality risk has not been fully studied. Japan has experienced a rapid population increase and densification in metropolitan areas since the 2000s; we investigated the effects of population concentration in metropolitan areas on heat-mortality risk using nationwide data. METHODS: We collected time-series data for mortality and weather variables for all 47 prefectures in Japan (1980-2015). The prefectures were classified into three sub-areas based on population size: lowest (<1 500 000), intermediate (1 500 000 to 3 000 000), and highest (>3 000 000; i.e. metropolitan areas). Regional indicators associated with the population concentration of metropolitan areas were obtained. RESULTS: Since the 2000s, the population concentration intensified in the metropolitan areas, with the highest heat-mortality risk in prefectures with the highest population. Higher population density and apartment % as well as lower forest area and medical services were associated with higher heat-mortality risk; these associations have generally become stronger since the 2000s. CONCLUSIONS: Population concentration in metropolitan areas intensified interregional disparities in demography, living environments, and medical services in Japan; these disparities were associated with higher heat-mortality risk. Our results can contribute to policies to reduce vulnerability to high temperatures.
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.
Long-lasting heatwaves have seriously threatened human health. Exploring the distribution of heat vulnerability is important for urban risk management. A model of heat vulnerability coupled with physical and social conditions based on exposure, sensitivity, and adaptation was established in Chongqing, a mountainous megacity in China, and 11 indicators were adopted to assess heat vulnerability. Heat perception evaluated by social media data is used to validate heat vulnerability. Four primary outcomes emerged. First, integration of high physical and low social heat vulnerabilities was found in central areas, while low physical and high social heat vulnerabilities were concentrated in suburban areas. Second, the spatial distribution of heat vulnerability is consistent with that of heat perception. Third, high social exposure, high physical and social sensitivity, and low physical adaptation led to high heat vulnerability in central areas, while high heat vulnerability in suburban areas was primarily caused by high physical exposure and low social adaptation. Finally, due to the barriers of mountains and rivers, both physical and social heat vulnerabilities form unique decentralized patterns following urbanization. According to the finding of heat vulnerability, mitigative and adaptive strategies (e.g. hierarchical layouts, green measures, and vulnerable health databases) are proposed to improve climate resilience.
BACKGROUND: Anthropogenic climate change poses a major health risk to humankind. The healthcare sector both contributes to climate change and is vulnerable to its impacts. Healthcare’s greenhouse gas emissions are primarily derived from its supply chain: the production, transport, and disposal of goods. METHODS: Document analysis was used to investigate the workplace policies of one large, Western Canadian healthcare organization. Policies that indicated how employees should engage with resources were reviewed through the lens of environmentally responsible practice and planetary health. Content and thematic analysis were applied. RESULTS: Four themes were identified: procurement of resources, resource utilization, resource conservation, and waste management. CONCLUSION: There was little evidence of environmental or climate impact consideration within the organization’s policies. IMPLICATIONS: Healthcare organizations could benefit from integrating a planetary health perspective into their policies to deliver healthcare that considers the health and safety of both humans and the climate.
Background: The health impacts of heatwaves are a growing public health concern with the frequency, intensity, and duration of heatwaves increasing with global climate change. However, little is known about the healthcare costs and the attributable morbidity associated with heatwaves Objective This study aims to examine the relationship between heatwaves and costs of emergency department (ED) presentations, and to quantify heat-attributable burden during the warm seasons of 2014-2017, in Adelaide, South Australia. Methods: Daily data on ED presentations and associated costs for the period 2014-2017 were obtained from the South Australian Department of Health and Wellbeing. Heatwave intensity was determined using the excess heat factor (EHF) index, obtained from the Australian Bureau of Meteorology. A distributed lag non-linear model (DLNM) was used to quantify the cumulative risk of heatwave-intensity over a lag of 0-7 days on ED presentations and costs. Effects of heatwaves were estimated relative to no heatwave. The number of ED presentations and costs attributable to heatwaves was calculated separately for two EHF severity categories (low-intensity and severe/extreme heatwaves). Subgroup analyses by disease-diagnosis groups and age categories were performed. Results: For most disease diagnosis and age categories, low-intensity and severe heatwaves were associated with higher rates of ED presentations and costs. We estimated a total of 1161 (95% empirical confidence interval (eCI): 342, 1944) heatwave-attributable all-cause ED presentations and associated healthcare costs (thousands) of AU $1020.3 (95% eCI: 224.9, 1804.7) during the warm seasons of 2014-2017. The heat-related illness was the disease category contributing most to ED presentations and costs. Age groups 0-14 and >= 65 years were most susceptible to heat. Conclusions: Heatwaves produced a statistically significant case-load and cost burden to the ED. Developing tailored interventions for the most vulnerable populations may help reduce the health impacts of heatwaves and to minimise the cost burden to the healthcare system. (C) 2021 Elsevier B.V. All rights reserved.
Background: Iran is a disaster-prone country, and many flood events occur in its provinces annually. The unprecedented amount of rainfall in the northern region of Iran (from March 17 to 22, 2019) led to flash flooding of the Golestan Province. Objectives: This study assessed the challenges and strengths of health-related needs in the first 10 days after the great flood in Golestan; via interviews with experts. Methods: This cross-sectional and qualitative study was carried out in Gonbad-e-Kavoos, Anbar Alum, Aq-Qala, Simin Shahr, and Gomishan cities of the flood-hit province of Golestan from March 21, to April 13 in 2019. The data were collected using the researcher’s field observations and interviews with 26 experts and policymakers. Results: The findings were categorized into 10 main groups namely mental health, environmental health, health education, maternal, infant, and child health, nutrition, epidemics, drugs, mobile hospitals, non-communicable diseases, and management. Environmental health issues were faced with a wide range of challenges. Conclusion: Due to the insufficient development of many health infrastructures in underdeveloped and developing countries, health policymakers and disaster management experts should collaborate before and after the disaster to detect and resolve the flaws. This could help reduce health problems and challenges when a natural disaster occurs, particularly by diminishing the number of morbidities and mortalities.
OBJECTIVES: Modelling and assessing the loss of geographical accessibility is key to support disaster response and rehabilitation of the healthcare system. The aim of this study was therefore to estimate postdisaster travel times to functional health facilities and analyse losses in accessibility coverage after Cyclones Idai and Kenneth in Mozambique in 2019. SETTING: We modelled travel time of vulnerable population to the nearest functional health facility in two cyclone-affected regions in Mozambique. Modelling was done using AccessMod V.5.6.30, where roads, rivers, lakes, flood extent, topography and land cover datasets were overlaid with health facility coordinates and high-resolution population data to obtain accessibility coverage estimates under different travel scenarios. OUTCOME MEASURES: Travel time to functional health facilities and accessibility coverage estimates were used to identify spatial differences between predisaster and postdisaster geographical accessibility. RESULTS: We found that accessibility coverage decreased in the cyclone-affected districts, as a result of reduced travel speeds, barriers to movement, road constraints and non-functional health facilities. In Idai-affected districts, accessibility coverage decreased from 78.8% to 52.5%, implying that 136?941 children under 5 years of age were no longer able to reach the nearest facility within 2?hours travel time. In Kenneth-affected districts, accessibility coverage decreased from 82.2% to 71.5%, corresponding to 14?330 children under 5 years of age having to travel >2?hours to reach the nearest facility. Damage to transport networks and reduced travel speeds resulted in the most substantial accessibility coverage losses in both Idai-affected and Kenneth-affected districts. CONCLUSIONS: Postdisaster accessibility modelling can increase our understanding of spatial differences in geographical access to care in the direct aftermath of a disaster and can inform targeting and prioritisation of limited resources. Our results reflect opportunities for integrating accessibility modelling in early disaster response, and to inform discussions on health system recovery, mitigation and preparedness.
OBJECTIVE: Floods are one of the most common types of disasters in Bangladesh and lead to direct and indirect impacts on health. The aim of the study was to assess the impact of floods on Maternal and Newborn Healthcare (MNH) utilization in Bangladesh between the years 2011 and 2014. METHODS: We used variables from the Bangladesh Demographic and Health Survey 2014 data and georeferenced data of floods between 2011 and 2014 from the Emergency Events Database. Multivariate logistic regression was used to determine whether the flood-affected exposures were significant in predicting differences in MNH utilization. RESULTS: The odds for the received antenatal care by skilled providers, institutional deliveries, deliveries by c-section, and postnatal care of the babies were significantly lower (Unadjusted OR?=?0.81, 0.88, 0.83, and 0.82 respectively; P?
Extreme weather events pose significant threats to urban health in low- and middle-income countries, particularly in sub-Saharan Africa where there are systemic health challenges. This paper investigates health system vulnerabilities associated with flooding and extreme heat, along with strategies for resilience building by service providers and community members, in Accra and Tamale, Ghana. We employed field observations, rainfall records, temperature measurements, and semi-structured interviews in health facilities within selected areas of both cities. Results indicate that poor building conditions, unstable power supply, poor sanitation and hygiene, and the built environment reduce access to healthcare for residents of poor urban areas. Health facilities are sited in low-lying areas with poor drainage systems and can be 6 °C warmer at night than reported by official records from nearby weather stations. This is due to a combination of greater thermal inertia of the buildings and the urban heat island effect. Flooding and extreme heat interact with socioeconomic conditions to impact physical infrastructure and disrupt community health as well as health facility operations. Community members and health facilities make infrastructural and operational adjustments to reduce extreme weather stress and improve healthcare provision to clients. These measures include: mobilisation of residents to clear rubbish and unclog drains; elevating equipment to protect it from floods; improving ventilation during extreme heat; and using alternative power sources for emergency surgery and storage during outages. Stakeholders recommend additional actions to manage flood and heat impacts on health in their cities, such as, improving the capacity of drainage systems to carry floodwaters, and routine temperature monitoring to better manage heat in health facilities. Finally, more timely and targeted information systems and emergency response plans are required to ensure preparedness for extreme weather events in urban areas.
INTRODUCTION: Hurricanes have increased in severity over the past 35 years, and climate change has led to an increased frequency of catastrophic flooding. The impact of floods on emergency department (ED) operations and patient health has not been well studied. We sought to detail challenges and lessons learned from the severe weather event caused by Hurricane Harvey in Houston, Texas, in August 2017. METHODS: This report combines narrative data from interviews with retrospective data on patient volumes, mode of arrival, and ED lengths of stay (LOS). We compared the five-week peri-storm period for the 2017 hurricane to similar periods in 2015 and 2016. RESULTS: For five days, flooding limited access to the hospital, with a consequent negative impact on provider staffing availability, disposition and transfer processes, and resource consumption. Interruption of patient transfer capabilities threatened patient safety, but flexibility of operations prevented poor outcomes. The total ED patient census for the study period decreased in 2017 (7062 patients) compared to 2015 (7665 patients) and 2016 (7770) patients). Over the five-week study period, the arrival-by-ambulance rate was 12.45% in 2017 compared to 10.1% in 2016 (p < 0.0001) and 13.7% in 2015 (p < 0.0001). The median ED length of stay (LOS) in minutes for admitted patients was 976 minutes in 2015 (p < 0.0001) compared to 723 minutes in 2016 and 591 in 2017 (p < 0.0001). For discharged patients, median ED LOS was 336 minutes in 2016 compared to 356 in 2015 (p < 0.0001) and 261 in 2017 (p < 0.0001). Median boarding time for admitted ED patients was 284 minutes in 2016 compared to 470 in 2015 (p < 0.0001) and 234.5 in 2017 (p < 0.001). Water damage resulted in a loss of 133 of 179 inpatient beds (74%). Rapid and dynamic ED process changes were made to share ED beds with admitted patients and to maximize transfers post-flooding to decrease ED boarding times. CONCLUSION: A number of pre-storm preparations could have allowed for smoother and safer ride-out functioning for both hospital personnel and patients. These measures include surplus provisioning of staff and supplies to account for limited facility access. During a disaster, innovative flexibility of both ED and hospital operations may be critical when disposition and transfer capibilities or bedding capacity are compromised.
BACKGROUND: Heat-related illness is a common medical emergency. There is failure of thermoregulatory mechanisms of the body resulting in multiple organ dysfunction syndrome which if not identified and treated urgently can result in high mortality rate and permanent neurological damage. This study provides description of clinical profile patients presenting with heat-related illness and identifies clinical and laboratory variables resulting in poor outcome. METHODS: This retrospective study was done identifying adult patients admitted with a diagnosis of heat-related illness from April to August 2019 in tertiary care center. Their clinical profile, laboratory investigations and outcome were extracted from medical records and variables associated with poor outcome were analyzed for statistical significance. RESULTS: Mean age of the patients in the study was 61 years with mean heat index of the localities being 39.6-degree C. 66% of patients had multiple organ dysfunction with central nervous system dysfunction (77%) followed by respiratory distress syndrome (61%) as the most common organ derangement. Evaporative cooling measures were incorporated in management of all patients, followed by cold saline infusion in 60%. Higher J-ERATO score at admission was found to be a predictor for underlying multiple organ dysfunction syndrome (P value < 0.029). The mortality rate associated with heat-related illness in this study was 11.1%. CONCLUSIONS: Multiple organ dysfunction is seen in majority of the patients and calculation of simple admission J-ERATO score helps in predicting the same. Declining mortality rate observed in our study as compared to the earlier studies could be attributed to increased awareness, prompt diagnosis and initiation of rapid cooling measures.
The need for healthcare workers (HCWs) to wear personal protective equipment (PPE) during the coronavirus disease 2019 (COVID-19) pandemic heightens their risk of thermal stress. We assessed the knowledge, attitudes, and practices of HCWs from India and Singapore regarding PPE usage and heat stress when performing treatment and care activities. One hundred sixty-five HCWs from India (n = 110) and Singapore (n = 55) participated in a survey. Thirty-seven HCWs from Singapore provided thermal comfort ratings before and after ice slurry ingestion. Differences in responses between India and Singapore HCWs were compared. A p-value cut-off of 0.05 depicted statistical significance. Median wet-bulb globe temperature was higher in India (30.2 °C (interquartile range [IQR] 29.1-31.8 °C)) than in Singapore (22.0 °C (IQR 18.8-24.8 °C)) (p < 0.001). Respondents from both countries reported thirst (n = 144, 87%), excessive sweating (n = 145, 88%), exhaustion (n = 128, 78%), and desire to go to comfort zones (n = 136, 84%). In Singapore, reports of air-conditioning at worksites (n = 34, 62%), dedicated rest area availability (n = 55, 100%), and PPE removal during breaks (n = 54, 98.2%) were higher than in India (n = 27, 25%; n = 46, 42%; and n = 66, 60%, respectively) (p < 0.001). Median thermal comfort rating improved from 2 (IQR 1-2) to 0 (IQR 0-1) after ice slurry ingestion in Singapore (p < 0.001). HCWs are cognizant of the effects of heat stress but might not adopt best practices due to various constraints. Thermal stress management is better in Singapore than in India. Ice slurry ingestion is shown to be practical and effective in promoting thermal comfort. Adverse effects of heat stress on productivity and judgment of HCWs warrant further investigation.
