Tropical cyclones have far-reaching impacts on livelihoods and population health that often persist years after the event(1-4). Characterizing the demographic and socioeconomic profile and the vulnerabilities of exposed populations is essential to assess health and other risks associated with future tropical cyclone events(5). Estimates of exposure to tropical cyclones are often regional rather than global(6) and do not consider population vulnerabilities(7). Here we combine spatially resolved annual demographic estimates with tropical cyclone wind fields estimates to construct a global profile of the populations exposed to tropical cyclones between 2002 and 2019. We find that approximately 560 million people are exposed yearly and that the number of people exposed has increased across all cyclone intensities over the study period. The age distribution of those exposed has shifted away from children (less than 5 years old) and towards older people (more than 60 years old) in recent years compared with the early 2000s. Populations exposed to tropical cyclones are more socioeconomically deprived than those unexposed within the same country, and this relationship is more pronounced for people exposed to higher-intensity storms. By characterizing the patterns and vulnerabilities of exposed populations, our results can help identify mitigation strategies and assess the global burden and future risks of tropical cyclones.
Climate change is leading to more frequent and intense natural disasters, with developing countries particularly at risk. However, most research concerning mental health and natural disasters is based in high-income country settings. It is critically important to provide a mental health response to such events, given the negative psychosocial impacts they elicit. The aim of this systematic review is to explore the barriers and facilitators to implementing mental health and psychosocial support (MHPSS) following natural disasters in developing countries. Eight databases were searched for relevant quantitative and qualitative studies from developing countries. Only studies reporting barriers and/or facilitators to delivering MHPSS in response to natural disasters in a low- or middle-income country were included and full texts were critically appraised using the McGill University Mixed Methods Appraisal Tool. Reported barriers and facilitators were extracted and analysed thematically. Thirty-seven studies were included in the review, reflecting a range of natural disaster settings and developing countries. Barriers to implementing MHPSS included cultural relevance, resources for mental health, accessibility, disaster specific factors and mental health stigma. Facilitators identified included social support, cultural relevance and task-sharing approaches. A number of practical approaches can be used to facilitate the implementation of MHPSS in developing country settings. However, more research is needed on MHPSS in the developing country natural disaster context, especially in Africa, and international policies and guidelines need to be re-evaluated using a decolonial lens.
OBJECTIVE: Interventions in post-disaster environments may be accelerated by identifying protective behavioral factors adding incremental value to models of psychopathology using longitudinal methods. One protective behavior applicable to post-disaster contexts is behavioral activation (BA). BA is defined here as a behavioral pattern involving presence of valued activity engagement. While relevant post-disaster, the incremental value of BA behaviors in predicting longitudinal post-disaster outcomes is not well understood. We hypothesized that higher baseline engagement in behaviors consistent with a BA framework would predict decreased posttraumatic stress disorder (PTSD) symptom severity, depression symptom severity, and sleep disturbance approximately 3, 6, and 12 months after hurricane survivors completed baseline measures. METHODS: The current study is a secondary analysis from a randomized controlled trial of a disaster mental health digital intervention. Participants completed surveys at baseline and approximately 3, 6, and 12 months post-enrollment. Correlations and hierarchical regression analyses were calculated following data screening to predict PTSD symptom severity, depression symptom severity, and sleep disturbances. RESULTS: Controlling for alcohol use, prior trauma, displacement, and intervention condition, higher baseline BA consistently predicted less PTSD symptom severity, depression symptom severity, and sleep disturbances. CONCLUSION: Results suggest that post-disaster interventions should consider addressing BA. The study provides evidence that BA is potentially an important protective factor longitudinally predicting sleep disturbances and psychopathology after natural disasters.
Hurricane Laura made landfall in southwestern Louisiana in August 2020 while the world was several months into the COVID-19 pandemic. In the present research, we examined pandemic precautionary behaviors in a sample of adults who varied in exposure and damage due to Hurricane Laura, a destructive Category 4 hurricane. A total of 127 participants responded to an online survey that assessed pandemic worry and precautionary behaviors, hurricane exposure and damage, and health-related quality of life. We found that Hurricane Laura victims neglected pandemic precautionary behaviors at significantly higher levels in the weeks immediately following Hurricane Laura than did indirectly impacted control participants, although the two comparison groups did not differ in COVID-19 worry or adherence to precautionary pandemic behavior 14-22 months after Hurricane Laura made landfall. Older age was negatively correlated with COVID-19 worry prior to Hurricane Laura, which was unexpected given that older people in general were more vulnerable to COVID-19 by their membership in a high-risk group. Future directions for research on post-disaster vulnerabilities during a global pandemic are discussed.
PURPOSE OF REVIEW: The purpose of this review is to summarize the current literature regarding youth suicidality (suicidal ideation, suicidal behavior, and completed suicide) in the context of disasters. RECENT FINDINGS: There are fewer studies that examine the effect of disasters on suicidality specifically in children and youth than studies that focus on adults or general population. Numerous studies have reported on the effect of disasters on youth mental health in general without zeroing in on suicide risk. Some variables that have shown to increase suicide risk in children and youth after disasters include female gender, age at the time of disaster exposure, dependence on adults, attachments to places and caregivers, family functioning, and vulnerability to mistreatment. Several studies have demonstrated that youth suicidality fluctuates in response to disasters, at times increasing immediately post-disaster and at other times decreasing immediately post-disaster followed by an increase later. Exposure to natural disasters (e.g., earthquakes, typhoons, hurricanes, wildfires, and extremes of temperature and humidity), man-made disasters (e.g., armed conflict, global warming, and pollution), and unique disasters (e.g., the COVID-19 pandemic) have had significant impact on suicidality in children and adolescents. Although there are several promising interventions to mitigate the post-disaster suicide risk among youth, there is no consensus on a single intervention that is superior to others. More research is needed to study youth suicide risk in the context of disasters and develop culturally appropriate and evidence-based interventions.
Water-related climatic disasters pose a significant threat to human health due to the potential of disease outbreaks, which are exacerbated by climate change. Therefore, it is crucial to predict their occurrence with sufficient lead time to allow for contingency plans to reduce risks to the population. Opportunities to address this challenge can be found in the rapid evolution of digital technologies. This study conducted a critical analysis of recent publications investigating advanced technologies and digital innovations for forecasting, alerting, and responding to waterrelated extreme events, particularly flooding, which is often linked to disaster-related disease outbreaks. The results indicate that certain digital innovations, such as portable and local sensors integrated with web-based platforms are new era for predicting events, developing control strategies and establishing early warning systems. Other technologies, such as augmented reality, virtual reality, and social media, can be more effective for monitoring flood spread, disseminating before/during the event information, and issuing warnings or directing emergency responses. The study also identified that the collection and translation of reliable data into information can be a major challenge for effective early warning systems and the adoption of digital innovations in disaster management. Augmented reality, and digital twin technologies should be further explored as valuable tools for better providing of communicating complex information on disaster development and response strategies to a wider range of audiences, particularly non-experts. This can help to increase community engagement in designing and operating effective early warning systems that can reduce the health impact of climatic disasters.
BACKGROUND: Data science approaches have increasingly been used in behavioral health research and may be useful for addressing social factors contributing to disparities in health status. This study evaluated the importance of cultural stress-related factors in classifying depression and post-traumatic stress disorder (PTSD) among adult survivors (N = 319) of Hurricane Maria who migrated from Puerto Rico to the United States mainland. METHODS: We evaluated the performance of random forests (RF) and logistic regression (LR) for classifying PTSD and depression. Models included demographic, hurricane exposure, and migration-related cultural stress variables. We inspected area under the receiver operating characteristic curve (AUC), accuracy, balanced accuracy, F1 score, precision, recall, and specificity. RESULTS: Negative context of reception and language-related stressors were moderately important for accurately classifying depression and PTSD. For classifying depression, RF showed higher accuracy, balanced accuracy, specificity, precision, and F1. For classifying PTSD, RF showed higher accuracy, specificity, precision, and F1. LIMITATIONS: A more thorough classification model would also include biomarkers (e.g., of allostatic load), family, community, or neighborhood-level attributes. Findings may not generalize to other groups who have experienced crisis-related migration. CONCLUSIONS: Findings underscore the importance of culturally and linguistically appropriate and trauma-informed clinical services for recent migrants. Use of assessments to identify pre-migration and post-migration stressors could inform clinical practice with migrants presenting with behavioral health-related difficulties.
Extreme weather events can adversely impact potable water production and distribution, which could in turn have public health implications. The original study goal was to assess potential water quality hazards (both chemical and microbiological) in the aftermath of Hurricane Maria, which made landfall in Puerto Rico on September 20, 2017. The first sampling campaign surveyed water sources that were contextually relevant to disaster recovery and included government-managed systems, community managed systems, and unmanaged/improvised (spring) sources. Due to extensive power outages, residents increasingly leveraged community managed and unmanaged sources to fulfill their needs, and these sources showed a higher prevalence of microbiological hazards. However, an unexpected finding in the first sampling campaign was high concentrations of lead in a subset of samples collected from exterior taps, which instigated three follow-up sampling campaigns. Reflecting on the sampling methodology, we conclude that sampling the exterior taps was an appropriate, conservative approach based on a higher likelihood of lead-based plumbing materials and the contextual use of those taps before and after the hurricane due to extended boil water notices and interrupted service. This conservative sampling approach aligned better with historical data reported to the national database. Although the elevated lead concentrations may not be a direct result of the hurricane, this study explores the challenges of rapid reconnaissance research after disasters.
In the United States, tropical cyclones cause destructive flooding that can lead to adverse health outcomes. Storm-driven flooding contaminates environmental, recreational, and drinking water sources, but few studies have examined effects on specific infections over time. We used 23 years of exposure and case data to assess the effects of tropical cyclones on 6 waterborne diseases in a conditional quasi-Poisson model. We separately defined storm exposure for windspeed, rainfall, and proximity to the storm track. Exposure to storm-related rainfall was associated with a 48% (95% CI 27%-69%) increase in Shiga toxin-producing Escherichia coli infections 1 week after storms and a 42% (95% CI 22%-62%) in increase Legionnaires’ disease 2 weeks after storms. Cryptosporidiosis cases increased 52% (95% CI 42%-62%) during storm weeks but declined over ensuing weeks. Cyclones are a risk to public health that will likely become more serious with climate change and aging water infrastructure systems.
Background Despite increased interdisciplinary attention to the global climate crisis inducing major disasters, few studies have simultaneously explored multifaceted well-being following extreme natural disasters using structural equation modeling (SEM). Based on theories of trauma and positive psychology, as well as frameworks concerning substance use, this study tested a hypothetical model on pathways to quality-of-life related outcomes following Category-5 Hurricane Michael. Method. Online survey data from 488 respondents (Age = 41.3, range = 16-78) were collected in 2019, starting six months after the storm. Standardized instruments assessed how peritraumatic emotional and behavioral reactions related to three disaster outcomes: depression, life satisfaction (LS), and posttraumatic growth (PTG). Results. Positive pathways (centering on a character strength spirituality-to-hope link) and a negative pathway (i.e., substance use for coping) were evaluated. Depression (but not LS) was positively correlated with PTG in the final model. The SEM model demonstrated the beneficial roles of peritraumatic positive emotions and behavioral reactions on LS and PTG, as well as their counteracting role against depression. The spirituality-to-hope pathway moderated most indirect effects. Substance use moderated the pathways from positive and negative peritraumatic emotions to the three outcomes. Conclusion. Overall, the findings revealed a heterogeneous and complex post-disaster well-being phenomenon, which adds new knowledge to assumptions about trauma and disaster in trauma and positive psychology and further highlight the need for comprehensive assessment and interventions to facilitate quality of life among disaster survivors through interdisciplinary endeavors.
In the Pacific region, youth sexual and reproductive health and rights (SRHR) are strongly influenced by sociocultural and structural factors, which limit access to SRHR information and services for youth. As climate-related disasters intensify in the Pacific, existing challenges to youth SRHR may increase the risk of worse SRHR experiences and outcomes for youth before, during and after disasters. Community-based models of SRHR service provision models increase accessibility for youth in non-disaster times, but there is limited evidence of how community organisations address youth SRHR in disaster contexts. We conducted qualitative interviews with 16 participants from community organisations and networks in Fiji, Vanuatu, and Tonga following the 2020 Tropical Cyclone (TC) Harold. Guided by the Recovery Capitals Framework (natural, built, political, cultural, human, social, and financial capitals), we explored how community organisations addressed challenges to facilitate access to youth SRHR information and services. Social capital in the form of peer networks and virtual safe spaces was used to navigate challenges in political, financial, and natural capitals. Existing relationships and trusted collaborations were crucial to address cultural taboos related to youth SRHR. Previous experiences of disasters and knowledge of contexts enabled participants to provide sustainable solutions to identified SRHR needs. The work conducted by community organisations and networks pre-disaster made it easier to identify and address youth SRHR risks following disasters. Our research offers a unique perspective into how social capitals were used to mitigate challenges to youth SRHR across natural, human, financial, cultural, built, and political capitals. Findings offer important opportunities to invest in existing community strengths, for transformative action to advance the SRHR of Pacific youth.
OBJECTIVE: In January 2022, Fiji was hit by multiple natural disasters, including a cyclone causing flooding, an underwater volcanic eruption, and a tsunami. This study aimed to investigate perceived needs among the disaster-affected people in Fiji and to evaluate the feasibility of the Humanitarian Emergency Settings Perceived Needs Scale (HESPER Web) during the early stage after multiple natural disasters. METHODS: A cross-sectional study using a self-selected, non-representative study sample was conducted. The HESPER Web was used to collect data. RESULTS: In all, 242 people participated. The number of perceived serious needs ranged between 2 and 14 (out of a possible 26), with a mean of 6 (SD = 3). The top 3 most reported needs were access to toilets (60%), care for people in the community who are on their own (55%), and distress (51%). Volunteers reported fewer needs than the general public. CONCLUSIONS: The top 3 needs reported were related to water and sanitation and psychosocial needs. Such needs should not be underestimated in the emergency phase after natural disasters and may require more attention from responding actors. The HESPER Web was considered a usable tool for needs assessment in a sudden onset disaster.
An important question in the context of compound disasters is the degree to which geophysical disasters amplify the transmission of infectious diseases during pandemics and how this relation-ship is influenced by the social vulnerability of affected populations. This article proposes a spatiotemporal modeling approach to understand spatially varying social, demographic and health drivers of vulnerability during pandemics co-occurring with geophysical hazards. A multilevel mixed-effects model is developed to investigate the dynamic association between census tract -level Covid-19 case count trajectories co-occurring with a hurricane and demographic, socioeconomic and health factors. A state-level analysis is conducted to identify the distinct geographical regions in which significant changes are seen in the infection count trends due to the hurricane. A subsequent region-level analysis is performed to describe, at a higher spatial resolution, the im-pact of social vulnerability on the infection count trajectories at a community level. The method provides an approach to systematically study the effects of compound hazards and distinct pat-terns of infectious disease spread during hurricanes by quantifying (1) dynamic associations between infection counts and social factors and (2) spatial heterogeneities of these associations between communities. A case study for modeling the spatiotemporal variation of social vulnerability with data from Covid-19 pandemic and Hurricane Sally in Florida is presented to illustrate the application of the approach.
As demand for electricity increases on an already strained electrical supply due to urbanization, population growth, and climate change, the likelihood of power outages will also increase. While researchers understand that the number of electrical grid disturbances is increasing, we do not adequately understand how increased power outages will affect a society that has become increasingly dependent on a reliable electric supply. This systematic review aims to understand how power outages have affected society, primarily through health impacts, and identify populations most vulnerable to power outages based on the conclusions from prior studies. Based on search parameters, 762 articles were initially identified, of which only 50 discussed the social impacts of power outages in North America. According to this literature, racial and ethnic minorities, especially Blacks or African Americans, those of lower socioeconomic status, children, older adults, and those living in rural areas experienced more significant impacts from previous power outages. Additionally, criminal activity increased during prolonged power outages with both pro-social and anti-social behaviors observed. Providing financial assistance or resources to replace spoiled goods can reduce crime. Future research on this topic must consider the financial effects of power outages, how power outage impacts seasonally vary, and the different durations of power outage impacts.
Trends in 2-1-1 calls reflect evolving community needs during public health emergencies (PHEs). The study examined how changes in 2-1-1 call volume after 2 PHEs (Hurricane Irma and the coronavirus disease 2019 [COVID-19] pandemic declaration) in Broward County, Florida, varied by PHE type and whether variations differed by gender and over time. Examining 2-1-1 calls during June to December 2016, June to December 2017, and March 2019 to April 2021, this study measured changes in call volume post-PHEs using interrupted time series analysis. Hurricane Irma and the COVID-19 pandemic were associated with increases in call volume (+81 calls/d and +84 calls/d, respectively). Stratified by gender, these PHEs were associated with larger absolute increases for women (+66 and +57 calls/d vs +15 and +27 calls/d for men) but larger percent increases above their baseline for men (+143% and +174% vs +119% and +138% for women). Calls by women remained elevated longer after Hurricane Irma (5 wk vs 1 wk), but the opposite pattern was observed after the pandemic declaration (8 vs 21 wk). PHEs reduce gender differences in help-seeking around health-related social needs. Findings demonstrate the utility of 2-1-1 call data for monitoring and responding to evolving community needs in the PHE context.
The goal of this nationally representative, cross-sectional study is to evaluate the trends in routine checkup within the last year associated with exposure to a hurricane. We compared Puerto Rico (2017 Hurricane Irma, Hurricane Maria), Texas (2017 Hurricane Harvey), and Florida (2017 Hurricane Irma, Hurricane 2018 Michael) with states that had a category 1-2 hurricane make landfall from 2014 to 2019: Georgia, Louisiana, Mississippi, North Carolina, and South Carolina. We found that states impacted by a major hurricane in 2017 had a drop in routine checkup while the states that experienced a category 1-2 landfall did have a change in that year. By the following year, all states reported an increase in routine checkup suggesting that the disruption in routine care was temporary.
This multi-country study offers crucial evidence on the associations between tropical cyclone exposure and heightened daily respiratory mortality in East Asia. Significant impacts were observed for pneumonia and COPD deaths, rather than asthma. https://bit.ly/42rCIqM
The effects of named weather storms on the rates of penetrating trauma is poorly understood with only case reports of single events currently guiding public health policy. This study examines whether tropical storms and hurricanes contribute to trauma services and volume. METHODS: This was a cross-sectional review of tropical storms/hurricanes affecting New Orleans, Louisiana, during hurricane seasons (June 1-November 30) from 2010-2021, and their association with the rate of penetrating trauma. Authors sought to determine how penetrating trauma rates changed during hurricane seasons and associate them with demographic variables. RESULTS: There were 5531 penetrating injuries, with 412 (7.4%) occurring during landfall and 554 (10.0%) in the aftermath. Black/African Americans were the most affected. There was an increase in the rate of penetrating events during landfall (3.4 events/day) and aftermath (3.5 events/day) compared to the baseline (2.8 events/day) (P = < 0.001). Using multivariate analysis, wind speed was positively related to firearm injury, whereas the rainfall total was inversely related to firearm violence rates during landfall and aftermath periods. Self-harm was positively related to distance from the trauma center. CONCLUSIONS: Cities at risk for named weather storms may face increasing gun violence in the landfall and aftermath periods. Black/African Americans are most affected, worsening existing disparities. Self-harm may also increase following these weather events.
Identifying violations is at the heart of environmental compliance, especially detecting contaminants that endanger human health and safety. A review of state drinking water compliance programs demonstrates that the rate and frequency of identifying health-based violations varies significantly across the states. Previous scholarship has attributed much of this variation to anthropogenic causes. Less studied is the role of natural disasters and other natural events, which may also influence compliance outcomes. To address this gap, we build and utilize a novel data set of state-reported health-based violations reported under the Safe Drinking Water Act (SDWA) from 1993 to 2016. We are particularly interested in the role that events, such as severe storms, hurricanes, floods, and fires, have on the patterns of health-based violations. Results indicate that not all focusing events are created equally and that severe storms and hurricanes are associated with state agencies identifying a flurry of violations as compared to fires and flooding.
INTRODUCTION: Several studies have examined the impact of parents’ posttraumatic stress disorder (PTSD) on their children’s mental health, but few have evaluated the role of parents’ specific PTSD trajectories. The aim of this study was to assess the mechanisms underlying distinct trajectories of parental PTSD that affect children’s PTSD and depression through the feeling of safety. METHODS: The final sample comprised 242 dyads of parents and their children who experienced Super Typhoon Lekima in 2019. All participants were surveyed at three time points after the typhoon: 3 months (T1), 15 months (T2), and 27 months (T3). Parental PTSD symptoms at three time points and children’s PTSD, depression, and feeling of safety at T3 were analyzed. RESULTS: Four parental PTSD trajectories were identified: recovery, resilience, delayed, and coping. Compared with the resilient group, children of parents with delayed PTSD trajectories reported higher levels of depression at T3, while children of parents in the coping group were more likely to experience severe PTSD at T3. Children of parents in the recovery group, with a reduced feeling of safety, exhibited more severe depression and PTSD at T3, whereas children of parents in the delayed group were at an increased risk of PTSD at T3. CONCLUSIONS: These findings highlight the heterogeneity of parental PTSD trajectories following natural disasters and their distinct effects on children’s PTSD and depression. Furthermore, feeling of safety emerges as a crucial mechanism in this process.
OBJECTIVES: The aim of this study was to analyze congestive heart failure (CHF) discharges in Florida (USA) post tropical cyclones from 2007 through 2017. METHODS: This was a retrospective longitudinal time series analysis of hospital CHF quarterly discharges across Florida using the Healthcare Cost and Utilization Project (HCUP) database. The autoregressive integrated moving average (ARIMA) model was used with correlated seasonal regressor variables such as cyclone frequency, maximum cyclone wind speed, average temperature, and reports of influenza-like illness (ILI). RESULTS: A total of 3,372,993 patients were identified, with average age in each quarter ranging 72.2 to 73.9 years and overall mortality ranging 4.3% to 6.4%. The CHF discharges within each year peaked from October through December and nadired from April through June with an increasing overall time trend. Significant correlation was found between CHF discharge and the average temperature (P <.001), with approximately 331.8 less CHF discharges (SE = 91.7) per degree of increase in temperature. However, no significant correlation was found between CHF discharges and frequency of cyclones, the maximum wind speed, and reported ILI. CONCLUSIONS: This study suggests that with the current methods and the HCUP dataset, there is no significant increase in overall CHF discharges in Florida as a result of recent previous cyclone occurrences.
BACKGROUND: The increased frequency of climate induced natural disasters has exacerbated the risks of malnutrition in the already vulnerable regions. This study was aimed at exploring the effects of Cyclone Idai on nutrition outcomes of women of child-bearing age and children under 5 years. METHOD: The household-based cross-sectional study was conducted in Eastern Zimbabwe. Data were collected through face-to-face interviews to determine food consumption score (FCS) and household dietary diversity (HDDS), minimum dietary diversity for women (MDD-W) and minimum dietary diversity for children (MDD-C). Severity of Cyclone Idai was grouped into five categories based on the extent of damage to infrastructure and loss of human lives. Association between continuous and categorical variables was tested using Pearson correlation test and Chi square test, respectively. Linear and binary logistic regression was performed to investigate determinants of food security. RESULTS: A total of 535 households were interviewed. There was a significant correlation between severity of Cyclone Idai and MDD-W (p = 0.011), HDDS (p = 0.018) and FCS (p = 0.001). However, severity of Cyclone Idai was not a determinant of any nutrition outcome, but gender of household head was a negative predictor of HDDS (β = - 0.734, p = 0.040), and marital status of household head was a positive predictor (β = 0.093, p = 0.016) of FCS. CONCLUSION: The findings provide a good baseline to inform future programming of food aid activities during disasters. More so, our findings call for evidence-based policies regarding composition of a food aid basket and targeting of beneficiaries. The main strength of this study is that it is the first to investigate the effects of cyclones on food and nutrition security indicators and is based on a large sample size thus making our results generalisable.
BACKGROUND: Nursing home (NH) residents are vulnerable to mortality after natural disasters. We examined NH residents’ excess all-cause mortality associated with Hurricane Harvey, a unique disaster with long-lasting flooding effects. We also explored how mortality differed between short-stay and long-stay residents and by chronic conditions. METHODS: We conducted a retrospective observational study of Texas NH residents, comparing 30- and 90-day mortality among residents exposed to Hurricane Harvey in August 2017 to residents not exposed in the same location and time period during the previous 2 years. Data came from the Minimum Data Set Assessments and the Medicare Beneficiary Summary File. We used linear probability models to examine the association between hurricane exposure and mortality, adjusting for resident demographics, clinical acuity, and NH fixed effects. Models were stratified by short-stay and long-stay status. We also described differences in mortality by residents’ chronic conditions. RESULTS: In 2017, 18,479 Texas NH residents were exposed to Hurricane Harvey. Exposure to Hurricane Harvey was not significantly associated with 30-day mortality. However, 7.6% (95% CI: 7.2, 7.9) of long-stay residents died 90 days after exposure to Harvey, compared to 6.3% (95% CI: 6.0, 6.7) during 2015. Apparently, this effect was driven by chronic obstructive pulmonary disease (COPD) as approximately 9.2% of these residents died within 90 days after Harvey landing compared to 7.2% in 2015 (p < 0.01). CONCLUSIONS: Hurricane exposure appears to have significant consequences for mortality among long-stay NH residents, which appear to materialize over the long-term (90 days post-hurricane in our study) and may not be apparent immediately (30 days post-hurricane in our study). NH residents with COPD may be particularly vulnerable to increased mortality risk following hurricane exposure. The results highlight the need to pay special attention to mortality risk in NH residents, particularly those with COPD, following hurricane exposure.
Residential greenness may support mental health among disaster-affected populations; however, changes in residential greenness may disrupt survivors’ sense of place. We obtained one pre- and three post-disaster psychological distress scores (Kessler [K]-6) from a cohort (n = 229) of low-income mothers who survived Hurricane Katrina in New Orleans, Louisiana, USA. Greenness was assessed using average growing season Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) in the 300 m around participants’ homes at each time point. We used multivariable logistic regressions to evaluate two hypotheses: 1) that cross-sectional greenness (above vs. below median) was associated with reduced psychological distress (K6≥5); and 2) that changes in residential greenness were associated with adverse mental health. When using EVI, we found that a change in level of greenness (i.e., from high to low [high-low], or from low to high [low-high] greenness, comparing pre- and post-Katrina neighborhoods) was associated with increased odds of distress at the first post-storm survey, compared to moving between or staying within low greenness neighborhoods (low-high odds ratio [OR] = 3.48; 95% confidence interval [CI] = 1.40, 8.62 and high-low OR = 2.60; 95% CI: 1.05, 6.42). Results for NDVI were not statistically significant. More research is needed to characterize how residential greenness may impact the health of disaster survivors, and how these associations may change over time.
OBJECTIVES: Nine strong cyclones have been recorded in Oman in the last 50 years, the last being tropical cyclone Shaheen in October 2021, in the northern Oman area. The aim of our study was to determine the relationship between property loss and the mental health of residents after cyclone Shaheen. METHODS: We conducted a cross-sectional study among Omani citizens living in areas affected by cyclone Shaheen three to six months post-cyclone. In an online, self-reported questionnaire, we assessed the loss of participants’ properties due to the cyclone and the impact on their perceived mental health. Descriptive statistics, chi-square tests, and associations between demographics, loss of properties, and mental health were performed. RESULTS: Of 440 participants, 79.3% had their houses directly damaged by the cyclone and 90.7% had their outside properties damaged. Most of the respondents reported that they suffered from mental health symptoms in the months following the cyclone. Women, people with a lower socioeconomic status, the unemployed, and those without a university degree were associated with poorer mental health outcomes. Mental health was significantly lower for respondents whose properties were mostly affected by the cyclone. CONCLUSIONS: With scant knowledge about how cyclones directly affect Omanis’ mental health, the results of this study are paramount for the planning of psychological care services to improve the country’s response to extreme weather events.
OBJECTIVE: We examine the interplay of acculturation orientation, cultural stress, and hurricane trauma exposure with behavioral health among Puerto Rican crisis migrants who relocated to the US mainland after Hurricane Maria. METHOD: Participants were 319 adult (M(age) = 39 years; 71% female; 90% arriving in 2017-2018) Hurricane Maria survivors surveyed on the US mainland. Latent profile analysis was used to model acculturation subtypes. In turn, ordinary least squares regression was executed to examine the associations of cultural stress and hurricane trauma exposure with behavioral health while stratifying by acculturation subtype. RESULTS: Five acculturation orientation subtypes were modeled, three of which-Separated (24%), Marginalized (13%), and Full Bicultural (14%)-align closely with prior theorizing. We also identified Partially Bicultural (21%) and Moderate (28%) subtypes. Stratifying by acculturation subtype, with behavioral health (depression/anxiety symptoms) specified as the dependent variable, hurricane trauma and cultural stress accounted for only 4% of explained variance in the Moderate class, a somewhat greater percentage in the Partial Bicultural (12%) and Separated (15%) classes, and substantially greater amounts of variance in the Marginalized (25%) and Full Bicultural (56%) classes. CONCLUSION: Findings underscore the importance of accounting for acculturation in understanding the relationship between stress and behavioral health among climate migrants.
The link between population dynamics and climate-related severe events is complicated. Extreme weather events (EWEs), along with other factors such as socioeconomic and cultural factors, influence population dynamics, particularly changes in fertility, mortality, and migration. This study focuses solely on the fertility aspect of climate change and aims to investigate it in Bangladesh, which is extremely sensitive to climate change and EWEs such as floods, cyclones, and droughts. On a regular basis, the country is confronted with a number of EWEs. The current study examines how different types of extreme weather events affect vulnerable people’s decisions to have children or to prefer children of a certain gender. People who reside in a particular area may be more vulnerable to particular EWE types, which may result in different preferences for fertility and gender. This study employed individual-level data from three places (flood-prone, drought-prone, and cyclone-prone), each exposed to a distinct hazard, to address this issue, and collected pertinent information from 177 respondents in the susceptible areas using a survey questionnaire. The quantitative results show that the gender of the first child, the perceived risk of infant death due to EWE, the opinion on having more children to recover from the damage and losses caused by EWE, government and non-governmental organization (NGO) support during EWE, and the intended timing of child bearing (after or before EWE) are all significant factors influencing fertility preferences and gender preferences. The findings also indicate that the three regions under investigation have statistically distinct preferences for fertility and gender. There were larger differences between flood-prone areas and drought- and cyclone-prone areas. The complex issue of variations due to different EWEs requires more in-depth studies with larger samples and different methodological techniques.
OBJECTIVES: Following Hurricane Maria, scores of Puerto Rican “Maria migrants” fled the island with thousands permanently resettling on the United States (U.S.) mainland. Emerging evidence suggests that many Maria migrants are exposed to migration-related cultural stressors, including discrimination, negative context of reception, and language stress. The present study examines the associations of premigration hurricane trauma and postmigration cultural stress with posttraumatic stress disorder (PTSD) symptom severity and positive PTSD screens. METHOD: Participants were 319 adult (age 18+, 71% female) Puerto Rican Hurricane Maria survivors on the U.S. mainland. Data were collected virtually between August 2020 and October 2021. Participants completed Spanish-language measures of hurricane-related trauma, postmigration cultural stress exposure, PTSD symptoms, and positive screens. RESULTS: One in five (20.5%) Maria migrants reported PTSD scores in the range indicating a likely PTSD diagnosis (i.e., positive screen of 50+). Both hurricane trauma and migration-related cultural stressors independently predicted posttraumatic stress and positive PTSD screens. Additionally, controlling for the effect of hurricane trauma, discrimination and language stress were strongly linked with PTSD. Further, hurricane trauma and cultural stressors interact such that cultural stress predicts PTSD-positive screens at low-to-moderate levels of hurricane trauma exposure but not at high-to-very-high levels. CONCLUSION: Findings underscore the importance of providing mental health and other psychosocial supports to hurricane survivors and evacuees beyond the immediate aftermath of the disaster, and the need to consider both premigration trauma and postmigration experiences in terms of the mental health of crisis migrant populations. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
Big events, such as wars, economic crises, pandemics, or natural disasters, affect the risk environment in which people use drugs. While the impact of big events on injection risk behaviors and access to drug-treatment services is well documented, less is known about the effects of big events on drug markets. Based on self-reporting data on drug availability among people who use drugs (PWUD) in the aftermath of Hurricane Maria in Puerto Rico and during the COVID-19 lockdown in a Midwestern US state, this study aims to document the effects of big events on drug markets. Qualitative data on the effects of Hurricane Maria on drug markets are based on participants’ self-reporting (N = 31). Data collection started after the hurricane and ended in 2020. Data on changes to the drug supply during the COVID-19 lockdown were collected based on semi-structured interviews with PWUD (N = 40) in a Midwestern US state. Findings show that while the drug markets might have initially been affected by big events, most effects were temporary. Drug availability, pricing, and quality might have suffered some initial fluctuations but stabilized as the drug markets absorbed the initial shocks caused by the hurricane and the lockdown measures. In preparation for increasingly more frequent and virulent pandemics and natural disasters, health infrastructures should be strengthened to prevent not only overdose episodes and deaths but also drug-related harms.
Existing causal studies examining the impact of hurricanes on health and health-related outcomes typically focus on short-run impacts and specific outcomes associated with physical health. In this paper, I explore the long-term effects of Hurricanes Katrina and Rita on the mental health of adults using two individual-level datasets from the Behavioral Risk Factor Surveillance System and the Panel Survey of Income Dynamics. Difference-in-differences models are used to estimate the long-run causal impact of hurricanes. I compare the mental health of adults living in Katrina and Rita affected counties to those in other counties before and after the hurricanes. My findings suggest that the hurricanes increased the number of poor mental health days by 0.49 days per 30 days (14.5 %) during a seven-year post period (2006-2012) and psychological distress by 0.46 K-6 points (15.2 %) during a six-year post period. I also find that the estimated effects were notably larger among specific sub-groups, such as single mothers and black respondents. These results are robust to different sample and functional form specifications. From a policy perspective, these findings suggest that long-lasting effects need to be included in any analysis of the impact of hurricanes in order to capture their full effect.
Private wells are susceptible to contamination from flooding and are exempt from the federal requirements of the Safe Drinking Water Act. Consequently, well users must manage (e.g., disinfect) and maintain (e.g., regularly test) their own wells to ensure safe drinking water. However, well user practices and perceptions of well water quality in the years following a natural disaster are poorly characterized. An online follow-up survey was administered in October 2020 to private well users who had previously experienced Hurricane Harvey in 2017. The survey was successfully sent to 436 participants, and 69 surveys were returned (15.8% return rate). The survey results indicate that well users who had previously experienced wellhead submersion or a positive bacteria test were more likely to implement well stewardship practices (testing and disinfection) and to report the feeling that their well water was safe. While the majority of well users believed that their water was safe (77.6%), there was a significant decrease in well water being used for drinking, cooking, and for their pets after Hurricane Harvey. Generally, these well users tend to maintain their wells at higher rates than those reported in other communities, but there continues to be a critical need to provide outreach regarding well maintenance practices, especially before natural disaster events occur.
The south-western coastal zone of Bangladesh is suffering from an acute crisis of freshwater due to salinity intrusion. The extent of the problem and its causes in detail were investigated in the first place. Climate change along with a few other anthropogenic impacts are the main causes. Exploring technologies for adaptation to climate change has been emphasized nowadays to overcome the problem of climate change impact. The coastal community was found to be already adopting technological measures as an adaptation means. This study developed a detailed inventory of all the available indigenous water supply technology options along the region and categorized them. An analysis of the suitability of the technologies was done focusing on the factors like state of the technology, convenience in operation, quantity and quality of the supplied water, as well as financial viability or management practice. Both qualitative and quantitative approaches to the study were adopted to collect and analyze the data through extensive field visits, laboratory testing, and secondary data analysis. It is found that in most cases, solutions are on an ad hoc basis, having a lifetime of less than 5 years. In some places, people are gradually moving towards community-based and long-term hi-tech solutions.
BACKGROUND: The aim of this study was to investigate the relationship between typhoon, climate change, and acute Stanford type A aortic dissection (TAAD) in southern of Zhejiang Province in China. METHOD: 371 patients with TAAD were admitted to three hospitals (the aortic dissection center) in southern of Zhejiang Province, China from January 2015 to December 2020, and data were retrospectively collected, the data included (1) the number of patients admitted in different months and seasons, (2) daily meteorological data in southern of Zhejiang Province, and (3) typhoon information were retrospectively analyzed. RESULTS: The number of TAAD occurred in winter was the highest and in summer was the lowest. The incidence of TAAD was correlated with minimum temperature, maximum wind speed, mean wind speed, and water vapor pressure (P < 0.05). Maximum wind speed (RR 0.37; 95% CI 0.17 to 0.80, P = 0.01) and water vapor pressure (RR 0.96; 95% CI 0.92 to 1, P = 0.03) were the protective factor. The occurrence incidence of TAAD under the influence of typhoon climate was less than that during the period not affected by typhoon (P < 0.05). CONCLUSION: There was a correlation between typhoon, climate change, and the occurrence of TAAD in southern Zhejiang Province. Wind speed, vapor pressure, and typhoon may be protective factors.
Recently, we developed seasonal prediction schemes with improved skill to predict tropical cyclone (TC) activity up to 3 months in advance for the Solomon Islands (SI) region (5 & DEG;-15 & DEG;S, 155 & DEG;-170 & DEG;E) using sophisticated Bayesian regression techniques. However, TC prediction at subseasonal timescale (i.e., 1-4 weeks in advance) is not being researched for that region despite growing demands from decision makers at sectoral level. In this paper, we first assess the feasibility of developing subseasonal prediction frameworks for the SI region using a pool of predictors that are known to affect TC activity in the region. We then evaluate multiple predictor combinations to develop the most appropriate models using a statistical approach to forecast weekly TC activity up to 4 weeks in advance. Predictors used include indices of various natural climate variability modes, namely the Madden-Julian Oscillation (MJO), the El Nino-Southern Oscillation (ENSO), the Indian Ocean Dipole (IOD) and the Interdecadal Pacific Oscillation (IPO). These modes often have robust physical and statistical relationships with TC occurrences in the SI region and the broader southwest Pacific territory as shown by preceding studies. Additionally, we incorporate TC seasonality as a potential predictor given the persistence of TCs occurring more in certain months than others. Note that a model with seasonality predictor alone (hereafter called the “climatology” model) forms a baseline for comparisons. The hindcast verifications of the forecasts using leave-one-out cross-validation procedure over the study period 1975-2019 indicate considerable improvements in prediction skill of our logistic regression models over climatology, even up to 4 weeks in advance. This study sets the foundation for introducing subseasonal prediction services, which is a national priority for improved decision making in sectors like agriculture and food security, water, health and disaster risk mitigation in the Solomon Islands.
Nontuberculous mycobacteria (NTM) infections are caused by environmental exposure. We describe spatial distribution of NTM infections and associations with sociodemographic factors and flooding in Missouri, USA. Our retrospective analysis of mycobacterial cultures reported to the Missouri Department of Health and Social Services surveillance system during January 1, 2008-December 31, 2019, detected geographic clusters of infection. Multilevel Poisson regression quantified small-area geographic variations and identified characteristics associated with risk for infection. Median county-level NTM infection rate was 66.33 (interquartile range 51-91)/100,000 persons. Risk of clustering was significantly higher in rural areas (rate ratio 2.82, 95% CI 1.90-4.19) and in counties with >5 floodings per year versus no flooding (rate ratio 1.38, 95% CI 1.26-1.52). Higher risk for NTM infection was associated with older age, rurality, and more flooding. Clinicians and public health professionals should be aware of increased risk for NTM infections, especially in similar environments.
Power outages are a common outcome of hurricanes in the USA with potentially serious implications for community wellbeing. Understanding how power outage recovery is influenced by factors such as the magnitude of the outage, storm characteristics, and community demographics is key to building community resilience. Outage data are a valuable tool that can help to better understand how hurricanes affect built infrastructure and influence the management of short-term infrastructure recovery process. We conduct a spatial regression analysis on customers experiencing outages and the total power recovery time to investigate the factors influencing power outage recovery in Louisiana after Hurricane Isaac. Our interest was in whether infrastructure damage and recovery times resulting from a hurricane disproportionately affect socioeconomically vulnerable populations and racial minorities. We find that median income is a significant predictor of the time it takes to restore 50%, 80%, and 95% of the total outages within a ZIP Code Tabulation Area, even after controlling for hurricane characteristics and total outages. Higher income geographies and higher income adjacent geographies experience faster recovery times. Our findings point to possible inequities associated with income in power outage recovery prioritization, which cannot be explained by exposure to outages, storm characteristics, or the presence of critical services such as hospitals and emergency response stations. These results should inform more equitable responses to power outages in the future helping to improve overall community resilience.
Our objective was to evaluate the impact of recent public health crises on radiology CT services in Puerto Rico. We gathered and analyzed CT statistics from 2 of Puerto Rico’s major private hospital groups and obtained monthly data from January 2016 to March 2021. We quantified short- and long-term impacts of Hurricane Maria (September 2016-August 2017, September 2017-August 2018, September 2018-August 2019) and COVID-19 (April 2019-March 2020, April 2020-March 2021) by calculating month-to-month and year-to-year percentage differences for each hospital and all hospitals combined for the dates leading up to, in the immediate aftermath, and following these major events. Despite short-term effects throughout September from Hurricane Maria, there were no noticeable year-to-year differences in the total number of CT studies performed. Both March and April 2020 highlighted the instantaneous impact caused by COVID-19; these months contributed less than 6% of the total yearly scans performed between April 2019 and March 2020 and April 2020-March 2021 for all the hospitals individually. Hurricane Maria exerted a short-term impact on CT studies performed throughout September 2017. COVID-19 also demonstrated immediate yet prolonged effects on the number of CT studies performed with all 3 hospitals reporting decreases between a full pandemic year and the year prior. Our results support fortifying medical and societal infrastructure to better prepare for future natural and public health disasters, particularly in Puerto Rico and similarly resourced areas, to maintain steady, if somewhat diminished, radiology services such as CT for regular and emergency purposes.
This paper examines the experiences of healthcare providers (n = 10), policymakers (n = 5), and drug users (n = 5) in Puerto Rico (PR) after Hurricane Maria hit in September 2017. We draw upon ecosocial theory and theories of coloniality to interpret the findings from semi-structured interviews conducted between 2018-2020. The data from the study reveal the unacknowledged absence of illicit drug use in public policies on emergency management in response to the catastrophe and its association with barriers in the provision of health care services (i.e. mental health, opioid agonist therapy, and harm reduction) for drug-using patients. These individuals have been largely invisible in policy discussions on healthcare post-Maria. Our analysis highlights three intersecting factors that should be addressed in post-disaster policymaking addressing substance users. First, changes in the government’s medical plan one year after the Hurricane hampered the coordination of services for patients and providers. Therefore, the aid offered tended to be exclusively economic rather than addressing disparities in health service access. Second, policies have not addressed the mistreatment and prejudice toward substance users in hospital and emergency room settings. Third, there was evidence of relapses in the use of controlled substances and the replacement of routine drugs with fentanyl due to the interruption of regular transportation, affecting supplies and illegal substances. Failure to address addiction constitutes a real threat to the survival of a significant population in PR and embodies the historical oppression wrought by colonialism, discrimination, and stigma in a society that dismisses substance users in its public and budgetary policies.
Immigrants often face increased vulnerabilities to disaster-related poor health and recovery, compared to mainstream populations. Little is known about Hurricane Harvey’s impacts among the storm affected area’s large Vietnamese American population. Our study documented diverse psychological experiences and recovery challenges 1 year post-storm among a sample of 120 Vietnamese Americans residing in the Houston, Texas area. Using linear regression modeling, we examined the association between social support and depressive symptom development among these storm-affected Vietnamese Americans. Social support encapsulating both social embeddedness and perceived support was measured by the Louisville Social Support Scale and depressive symptom development was measured by 18 items that assessed emotional distress. These items included loss of appetite, loss of concentration, exposure to persistent pain, and the exhibition of hopelessness, tiredness, sadness, frustration, discouragement, desperation, exhaustion, disgraced, anger, and craziness. We found adverse post-disaster health outcomes, as well as potential avenues to mitigate them, that should be taken into consideration in the design and implementation of inclusive disaster programs. A high level of social support lowered depressive symptomology among Vietnamese Americans post-Hurricane Harvey, even when accounting for Hurricane Harvey-related home damages and injuries/illness. The negative association between social support and depressive symptom development remained after accounting for both post-storm self-rated mental and physical health. Our results suggested that public health practitioners and emergency management entities should prioritize social support resources to foster mental well-being after hurricanes among Vietnamese Americans as future hurricanes are expected to be stronger and more prevalent along the United States Gulf Coast.
Climate change-related shocks and stresses are prompting the movement of hundreds of thousands. The purpose of this study is to understand the experiences of climate change migrants, people displaced from these crises from the initial impacts of the hazard to their recent arrivals in a new location. To do so we draw on focus group discussions with Puerto Ricans in South and Central Florida displaced by 2017 Hurricane Maria. We document the factors leading up to the hurricane that shaped their preparedness, their relocation decisions, and their post-relocation experiences in the initial seven months following the hurricane. We find that for these Puerto Ricans, underlying neglect, discrimination, and other social processes transformed Maria from a hazard to a disaster with devastating economic, social, and physical and mental health effects, while also creating challenges in early recovery. However, migrants were also able to draw on their faith, community and educational institutions, and new neighbours as sources of strength and coping. We argue that since these factors are socially produced, a vulnerability perspective is critical to understanding the experiences of climate migrants. We draw on this perspective to conclude with research and policy implications.
Residents of Puerto Rico are disproportionately exposed to social and environmental stressors (e.g., Hurricane María and the 2020 sequence of tremors) known to be associated with psychological distress. Shift-and-persist (SP), or the ability to adapt the self to stressors while preserving focus on the future, has been linked with lower psychological distress, but no study has evaluated this in Puerto Rico. This study examined the association between SP and psychological distress (including that from natural disasters) in a sample of young adults in Puerto Rico. METHODS: Data from the Puerto Rico-OUTLOOK study (18-29 y) were used. Participants (n = 1497) completed assessments between September 2020 and September 2022. SP was measured with the Chen scale and categorized into quartiles (SPQ1-SPQ4). Psychological distress included symptoms of depression (CESD-10), anxiety (STAI-10), post-traumatic stress disorder (Civilian Abbreviated Scale PTSD checklist), and ataque de nervios (an idiom of distress used by Latinx groups). Outcomes were dichotomized according to clinical cutoffs when available, otherwise used sample-based cutoffs. Two additional items assessed the perceived mental health impact of Hurricane María and the 2020 sequence of tremors (categorized as no/little impact vs. some/a lot). Adjusted prevalence ratios (PR) and their 95% confidence intervals (CI) were estimated. RESULTS: The most commonly reported psychological distress outcome was PTSD (77%). In adjusted models, compared to SP Q1, persons in SP Q2-Q4 were less likely to have elevated symptoms of depression (PR Q2 = 0.79, 95% CI = 0.72-0.85; PR Q3 = 0.65, 95% CI = 0.58-0.73; and PR Q4 = 0.41, 95% CI = 0.35-0.48), PTSD (PR Q2 = 0.92, 95% CI = 0.87-0.98; PR Q3 = 0.86, 95% CI = 0.80-0.93; and PR Q4 = 0.76, 95% CI = 0.70-0.83), anxiety (PR Q2 = 0.39, 95% CI = 0.31-0.48; PR Q3 = 0.27, 95% CI = 0.20-0.37; and PR Q4 = 0.11, 95% CI = 0.07-0.17) and experiences of ataque de nervios (PR Q2 = 0.85, 95% CI = 0.76-0.94; PR Q3 = 0.79, 95% CI = 0.70-0.90; and PR Q4 = 0.68, 95% CI = 0.60-0.78). Compared to persons in SP Q1, persons in SP Q3-Q4 were less likely to report adverse mental health impacts from Hurricane María (PR Q3 = 0.66, 95% CI = 0.55-0.79; and PR Q4 = 0.53, 95% CI = 0.44-0.65) and the 2020 sequence of tremors (PR Q3 = 0.77, 95% CI = 0.61-0.98; and PR Q4 = 0.74, 95% CI = 0.59-0.94). CONCLUSION: SP was associated with lower psychological distress. Studies are needed to confirm our findings and evaluate potential mechanisms of action.
Knowledge of excess deaths after tropical cyclones is critical to understanding their impacts, directly relevant to policies on preparedness and mitigation. We applied an ensemble of 16 Bayesian models to 40.7 million U.S. deaths and a comprehensive record of 179 tropical cyclones over 32 years (1988-2019) to estimate short-term all-cause excess deaths. The deadliest tropical cyclone was Hurricane Katrina in 2005, with 1491 [95% credible interval (CrI): 563, 3206] excess deaths (>99% posterior probability of excess deaths), including 719 [95% CrI: 685, 752] in Orleans Parish, LA (>99% probability). Where posterior probabilities of excess deaths were >95%, there were 3112 [95% CrI: 2451, 3699] total post-hurricane force excess deaths and 15,590 [95% CrI: 12,084, 18,835] post-gale to violent storm force deaths; 83.1% of post-hurricane force and 70.0% of post-gale to violent storm force excess deaths occurred more recently (2004-2019); and 6.2% were in least socially vulnerable counties.
Groundwater is an important human resource. Daejeon in South Korea faces severe water quality issues, including radon, uranium, and fluoride pollution, all of which pose health risks to humans. With climate change, threats to potable water, such as heavy rain and typhoons, have become common. Therefore, examining the seasonal effects on groundwater quality and resultant health risks is important for understanding the mechanisms of different hydroclimatological conditions to enable the implementation of sustainable management plans in radon-contaminated groundwater areas. However, this issue has not yet been studied. To bridge this gap, in this study, major ions and microbial community structures were employed and groundwater quality index (GWQI) were calculated with hazard index based on limits set by the World Health Organization (WHO) to investigate the hydrochemical characterization and to assess pollution levels. The results showed that the rainy season had distinct hydrochemical characteristics with high correlations between radon and fluoride, and most groundwater samples collected after the typhoon had characteristics similar to those collected during the dry season, owing to the flow path. Furthermore, the microbial diversity and hazard quotient (HQ) values of fluoride revealed that pollution worsened during the dry season. All of the calculated effective dose values of radon exceeded the threshold limit set by the WHO, despite the low GWQI. Infants and children were particularly susceptible to radon-contaminated groundwater. The statistical results of self-organizing map (SOM) suggested that radon analysis was sufficient for public health intervention in the rainy season; however, in the dry season, combined analyses of radon, fluoride, and microbial diversity played important roles in health risk assessment. Our study presents a comprehensive understanding of radon-contaminated groundwater characteristics under seasonal effects and can serve as a reference for other similar zones to provide significant insights into the effective management of radon contamination.
OBJECTIVES: A male is less adaptable to biological stressors than a female fetus with consequent higher morbidity and mortality. Adverse birth outcomes increase and male livebirths decrease after environmental disasters, economic crises, and terrorist events. We hypothesized the ratio of male to female livebirths would decrease in areas affected by severe tropical cyclones (TCs) in Queensland, Australia. Additionally, in male livebirths, there would be an increase in preterm and low birthweight births. Lastly, we hypothesized that the pregnancy stage at which exposure occurred would modify the association between TC exposure and observed outcomes. METHODS: Interrupted time series analysis was used to analyze Queensland administrative birth records from July 2007 to June 2018 for significant changes in the sex ratio at birth, measured as the proportion of male livebirths. Adjusted generalized linear models were fitted to births in areas affected by two category five TCs: cyclones Yasi (February 2011) and Marcia (February 2015). To explore male mortality and morbidity risk, additional analysis was conducted on the proportion of male stillborn, low birthweight, and preterm births. The association between estimated pregnancy stage during the TC and the proportion of male births was also analyzed. RESULTS: Contrary to our hypothesis, increases in the proportion of male livebirths were observed following early-pregnancy exposure to cyclone Yasi and mid-pregnancy exposure to Marcia, although the latter was not statistically significant. No significant changes were observed in proportions of male stillborn, low birthweight, and preterm births. CONCLUSIONS: This study found a significant association between severe TCs and sex ratio at birth. The stage of pregnancy at which maternal stressors were experienced modified this association. Among people exposed in early to mid-pregnancy, the proportion of male births was higher. This may be because of differential loss of females in utero. Studying sex differences in birth outcomes provides insight into in utero vulnerabilities associated with environmental stressors. Climate change is increasing the intensity and frequency of natural disasters. Understanding fetal vulnerability to environmental stressors will provide crucial information supporting early life health interventions that mitigate the immediate and long-term effects.
Pacific youth (15-24 years) experience multiple challenges to realising their sexual and repro-ductive health and rights (SRHR). Climate-related disasters compound pre-existing social and health inequities, including for youth SRHR. Meaningful youth engagement is crucial to under-stand their risks and inform inclusive disaster responses. This scoping review aimed to explore if and how both youth SRHR and youth engagement are identified in disaster policies and reported in humanitarian responses. We focus on the 2020 Tropical Cyclone (TC) Harold as a disaster event, providing a real-world example of current approaches to youth SRHR and youth engage-ment in disaster policies and disaster responses in Fiji, Vanuatu and Tonga. We extract current disaster risk reduction (DRR) policies (Pacific regional framework, national policies and publicly available provincial policies from Fiji, Vanuatu and Tonga), and TC Harold response reports available during the response period from April-September 2020. Using an intersectional policy analysis framework we conduct descriptive and narrative analyses for inclusion and identifica-tion of youth SRHR and youth engagement in policies and response reports. Analysis of 9 policies and 28 response reports highlight an existing gap between prioritising youth engagement in poli-cies and the reality of meaningful youth engagement in practice. We highlight a need for region-ally consistent disaggregated data to identify youth-specific risks and emphasise the importance of cross-sector collaboration to effectively address youth SRHR. Sociocultural barriers such as misconceptions and stigma, and unilateral decision-making by community power holders under-score the critical importance of applying a rights-based approach to DRR in the Pacific.
OBJECTIVE: The insomnia severity index (ISI) is often used as a screening tool used with its recommended clinical cutoff scores. However, this practice presumes a single-factor structure, which has received little theoretical or empirical support. This study examined the factor structure of the ISI with the aim to validate its clinical application in postdisaster contexts. METHOD: One hundred sixty-eight Filipino adult survivors of the 2013 Super Typhoon Haiyan completed two waves of questionnaires that were 7 months apart. Confirmatory factor analyses were first conducted to compare models with different factor structures, followed by a test of longitudinal measurement invariance. The longitudinal interrelations among factors of the ISI as well as between insomnia and symptoms of psychological distress were then examined with path analysis. RESULTS: Results supported a two-factor model, composed of severity and impact of insomnia, which achieved strong longitudinal invariance. The change in impact of insomnia at T2 was predicted by severity of insomnia at T1. Impact of insomnia was significantly associated with symptoms of stress but not depression and anxiety. CONCLUSION: We preliminarily propose a model in which the impact of insomnia mediates the influence of severity of insomnia on subsequent stress. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
Self-regulation shift theory (SRST) argues that most individuals are able to successfully recover from trauma via engagement in self-regulation processes as well as the effective utilization of internal and environmental resources. However, a minority of individuals may instead experience a self-determination violation as a result of their self-regulatory capacity being overwhelmed. This self-determination violation is marked by chaotic and shifting adjustment, maladaptive regulation attempts, and, ultimately, a shift to an impaired self-state and the development of persistent psychopathology, such as posttraumatic stress disorder (PTSD). The current study utilized nonlinear dynamic system (NDS) analysis to identify adjustment trajectory dynamics among rural hurricane survivors in North Carolina (N = 131) who completed daily ecological momentary assessments (EMAs) regarding their distress (i.e., negative mood and PTSD symptoms), regulation efforts (e.g., coping), and appraisals (e.g., coping self-efficacy) over a 6-week period. Four adjustment trajectories were identified, including two largely adaptive trajectories (69.0% and 5.7%), a less stable adjustment trajectory (6.9%), and a fourth trajectory (18.4%) marked by shifting adjustment states and more frequent maladaptive regulation and negative appraisals, suggesting possible self-determination violation. Consistent with this possibility, this final trajectory was also associated with more severe PTSD symptoms relative to the other three trajectories at enrollment and 6-month follow-up. Future work should utilize NDS to model posttrauma adjustment dynamics from within a SRST framework to identify patterns of positive and negative adjustment dynamics at different time points in the trauma recovery process.
We analyze the very short-term causal impact of exposure to one of the most powerful storms ever recorded to strike land on locus of control, beliefs in reciprocity, and risk preferences within a sample of 2,352 individuals. We find that people exhibit significantly lower external locus of control, beliefs in reciprocity, and risk aversion after the shock. Our identification is based on field work that coincidentally started shortly before the typhoon and that continued thereafter. The short-term impact we document has not been observed previously, and we thus fill a gap in the emerging literature on the stability of non-cognitive skills. (c) 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
This study was designed to assess associations between resource loss related to the 2019 hurricane season, and traumatic event exposure history on individual and relational wellbeing. Further, the potential intermediary role of grit was explored. The study was completed with a sample of 240 heterosexual couples who reported living in or near coastal regions in the southeast US, who were at risk of experiencing disaster-related losses during the 2019 hurricane season. A modified actor-partner interdependence model (APIM) was fitted using path analysis to test associations between disaster-related loss (incurred in 2019) and prior traumatic event exposure, and the outcome variables of posttraumatic stress symptoms (PTSS) and attachment behaviors within and across partners, with male and female grit tested as intermediaries. Results showed higher levels of disaster-related loss in 2019 and exposure to prior traumatic events associated significantly with higher levels of PTSS within partners. Higher levels of traumatic event exposure also associated with lower grit within partners. In turn, higher levels of grit associated with higher levels of attachment behaviors and lower levels of PTSS within and across partners. Indirect effects suggested that lower grit may play an intermediary role in the path between higher trauma event exposure history and lower levels of attachment behaviors within partners. Results suggest the primacy of loss in understanding traumatic stress, and further imply the importance of grit as a potential buffer in individual and relational wellbeing.
Microbial contamination of private well systems continues to be a prominent drinking water concern, especially for areas impacted by floodwaters. Hurricane Harvey deposited nearly 60 inches of rain, resulting in extensive flooding throughout Houston, Texas, and neighboring counties. A sampling campaign to test private wells for fecal indicator bacteria was initiated in the weeks following flooding. Escherichia coli concentrations measured in wells were utilized in a quantitative microbial risk assessment to estimate the risk of infection for both drinking water and indirect ingestion exposure scenarios. Derived reference pathogen doses indicated that norovirus (1.60 x 10(-4) to 8.32 x 10(-5)) and Cryptosporidium (2.37-7.80 x 10(-6)) posed the greatest health risk via drinking, with median health risk estimates exceeding the U.S. Environmental Protection Agency’s modified daily risk threshold of 1 x 10(-6) for a gastrointestinal infection. Bathing (1.78 x 10(-6)), showering (4.32 x 10(-7)), and food/dish washing (1.79 x 10(-6)) were also identified to be exposure pathways of health concern. A post-flood microbial risk assessment of private wells in the Gulf Coast has not previously been conducted. Estimating these health risks can provide scientifically supported guidance regarding which well water practices are safest, especially when well water quality is unknown. Developing this guidance is critical as coastal communities experience increased vulnerability to flooding.
Older adults who experience natural disasters are at risk for immediate and longer-term negative health outcomes and diminished quality of life (QOL), in part due to disruptions to social relationships and protections. We use a risk and resilience framework to examine the protective effects of psychological sense of community (PSOC) on self-rated health (SRH) and QOL for older adults in Puerto Rico 2 years after the devastation of Hurricane María in 2017. Between September 2019 and January 2020, we conducted face-to-face interviews with a nonprobability sample of 154 community-dwelling adults aged 60+ in Puerto Rico. Controlling for covariates, we used multivariate regression to examine the association of PSOC and key social risk factors (mental health, social isolation, and loneliness) with SRH and QOL. Higher levels of PSOC were significantly associated with better SRH and QOL. Regarding risks, worse mental health was significantly associated with lower QOL and SRH, loneliness was significantly related to worse QOL, and social isolation was significantly associated with better SRH and better QOL. PSOC was a protective factor for older adults, suggesting that prevention and intervention efforts should focus on building and sustaining older adults’ sense of community in the longer-term wake of natural disasters.
This study explored the impact of Hurricane Michael within the Black community in Bay County and surrounding regions in the Florida Panhandle. It is imperative to investigate the challenges and resilience factors among historically marginalized populations to assist with empowering the community to rebuild and regain a sense of normalcy. Focus groups and interviews were conducted to expose victims’ lived experiences with accessing community, federal, and local resources after Hurricane Michael. Thematic network analysis was developed to present a visual representation of the psychosocial, environmental, and social justice issues encountered by the Black community following Hurricane Michael. A weblike depiction of the data yielded a global theme of psychosocial and psychological trauma; organizing themes based on resiliency, environmental, social justice, and mental health issues among adults and children; and basic themes regarding racism, discrimination, and ineffective assistance from local and federal agencies. The crisis intervention theory provides a framework for organizing pertinent resources within Black communities after severe natural hazards. Findings indicate the need for culturally competent counselors who understand the challenges and resilience of the Black community and to assist with rebuilding efforts.
Background: Weather-related disasters, including hurricanes, are becoming more frequent and severe due to climate change. Vulnerable populations, such as people with low income and racial and ethnic minorities, are particularly prone to increased levels of physical harm and psychiatric adversity from weather-related events.Objectives: We aimed to explore psychosocial resources and coping of survivors with three different posttraumatic stress symptom (PTSS) trajectories (High-Decreasing, Moderate-Decreasing, and High-Stable), after Hurricane Katrina across two different time points: F1 (1-year post-disaster) and F3 (12 years post-disaster).Method: Participants in this multi-method study were part of a larger cohort of the Resilience in Survivors of Katrina (RISK) project. Transcripts of interviews completed at the two time points were analysed using two qualitative methods, combining thematic analysis and narrative analysis, and providing both breadth of perspectives with the depth of specific case studies.Results: Sixteen survivors completed interviews at both F1 and F3. From our in-depth analysis of the data, we derived five inductive themes: ‘Hope,’ ‘Adaptive vs maladaptive avoidance,’ ‘Emotional delay,’ ‘Acceptance, Finding Meaning and Being in the Moment,’ and ‘Coping strategies.’ Survivors with High-Decreasing and Moderate-Decreasing PTSS trajectories experienced hope for future, accepted the hurricane and its results, and found efficient ways to cope with their situation. Survivors with High-Stable PTSS trajectories tended to express a lack of hope for future and struggled to be mindful and accept the hurricane and its harm. Unlike survivors with High-Decreasing and Moderate-Decreasing PTSS trajectories, survivors with High-Stable PTSS trajectories also reported less social and family support and faced more discrimination and racism.Conclusion: There are factors beyond individual-level psychosocial resources that may shape post-disaster resilience. When supporting survivors after a weather-related disaster, it is essential to provide ongoing psychological, financial, and physical assistance to bolster these resources.
Between January 2015 and October 2022, 38 patients with culture-confirmed melioidosis were identified in the Kowloon West (KW) Region, Hong Kong. Notably, 30 of them were clustered in the Sham Shui Po (SSP) district, which covers an estimated area of 2.5 km(2). Between August and October 2022, 18 patients were identified in this district after heavy rainfall and typhoons. The sudden upsurge in cases prompted an environmental investigation, which involved collecting 20 air samples and 72 soil samples from residential areas near the patients. A viable isolate of Burkholderia pseudomallei was obtained from an air sample collected at a building site five days after a typhoon. B. pseudomallei DNA was also detected in 21 soil samples collected from the building site and adjacent gardening areas using full-length 16S rRNA gene sequencing, suggesting that B. psuedomallei is widely distributed in the soil environment surrounding the district. Core genome-multilocus sequence typing showed that the air sample isolate was phylogenetically clustered with the outbreak isolates in KW Region. Multispectral satellite imagery revealed a continuous reduction in vegetation region in SSP district by 162,255 m(2) from 2016 to 2022, supporting the hypothesis of inhalation of aerosols from the contaminated soil as the transmission route of melioidosis during extreme weather events. This is because the bacteria in unvegetated soil are more easily spread by winds. In consistent with inhalational melioidosis, 24 (63.2%) patients had pneumonia. Clinicians should be aware of melioidosis during typhoon season and initiate appropriate investigation and treatment for patients with compatible symptoms.
This study reviews the progress of disaster mitigation measures against tropical cyclones (TCs) in three Asian countries with different historical, social, and economic backgrounds: Bangladesh, Vietnam, and Japan. In Bangladesh, an average of 6,600 people was killed by a single TC in the 1960s, but this number had decreased to 30 in the 2010s; this reduction was due to a clear improvement in soft measures, such as weather forecasting, warning systems, and mass evacuation coordinated by volunteers. In Vietnam, several strong TCs have recently made landfall, leading to improvements in national disaster management. Although Vietnam’s current disaster management budget is smaller than those of the two other countries, large-scale evacuation by local authorities is believed to have minimized casualties. In Japan, shortly after Typhoon Vera in 1959, a comprehensive law on disaster prevention was enacted, and coastal dikes were constructed nationwide, resulting in a considerable reduction in fatalities due to TCs. However, the disaster prevention facilities built in this period are now deteriorating, while Japan’s budget for disaster management is projected to be decreasing. The three countries have advanced their disaster preparedness in response to past TCs and storm surges, but new challenges have also arisen.
Domestic wells provide drinking water to 44 million people nationwide. Many of these wells, which remain federally unregulated and rarely tested for pollutants, serve rural populations clustered near surface-contaminated sites (e.g., hazardous waste sites, animal agriculture operations, coal ash ponds, etc.). The potential for natural disasters to deteriorate drinking water quality is well documented. Less understood is whether opportunistic post-disaster sampling might underrepresent vulnerable populations. When disaster strikes, well water sampling campaigns offer a glimpse into the quality of water for exposed residents. We examined over 8,000 well water samples from 2016 and 2017 to measure Hurricane Matthew’s impact on the presence of indicator bacteria. Bacteria presence was predicted at the household level following Hurricane Matthew’s landfall. The residential addresses associated with birth records as well as clinically estimated dates of conception and birth dates were used to predict the likelihood of indicator bacteria in drinking water sources that were unsampled but likely to have served pregnant women. We estimate that opportunistic well water sampling captures the average predicted contamination rates among households with pregnant women. Our approach documents a distribution of contamination risk where 2.7% of the vulnerable sample (670 unsampled households) have a 75% likelihood of total coliform presence. The predicted likelihood of indicator bacteria is elevated for a small share of households nearby swine lagoons that experienced the most torrential rainfall. However, the gap between sampled and unsampled households cannot otherwise be explained by the storm event or proximity to surface-contaminated sites. Findings suggest that sophisticated and holistic water quality prediction models may support post-disaster sampling campaigns by targeting individual households within vulnerable groups that are likely to experience higher risks from groundwater contamination.
OBJECTIVE: Exposure to natural disasters during and after pregnancy may increase adverse mental health outcomes. Hurricanes Irma and Maria struck Puerto Rico in September 2017. Our objectives were to understand hurricane-related experiences, maternal health concerns, and the impact of hurricane experiences on postpartum depressive symptoms (PDS). METHODS: We used data from the 2018 Pregnancy Risk Assessment Monitoring System to describe differences in maternal hurricane experiences among women who were pregnant during and after the 2017 hurricanes. We assessed maternal concerns and PDS. We estimated adjusted prevalence ratios (aPRs) and 95% CIs for the associations between hurricane experiences and PDS. RESULTS: The most frequently reported hurricane experiences were losing power for ≥1 week (97%) and feeling unsafe due to lack of order/security (70%). Almost 30% of women who were pregnant during the hurricanes reported missing prenatal care. PDS were reported by 13% of women. Most hurricane experiences were associated with an increased prevalence of PDS. Feeling unsafe (aPR = 2.4; 95% CI, 1.2-4.9) and having difficulty getting food (aPR = 2.1; 95% CI, 1.1-4.1) had the strongest associations. CONCLUSIONS: Most women who were pregnant during or after hurricanes Irma and Maria struck Puerto Rico reported negative hurricane experiences, and most experiences were associated with an increased prevalence of PDS. Understanding the experiences of pregnant women during and after disasters and identifying risks for adverse mental health outcomes after pregnancy are important to inform emergency preparedness and prenatal and postpartum care.
This study aimed to examine the same-sex matching effect of posttraumatic stress disorder (PTSD) symptoms from parents to children and the mediating role of children’ sense of security and catastrophization. Longitudinal data from 447 parent-child dyads were acquired using self-report scales. Parents (77.0% mothers; M(age) = 40.15 years old) reported their PTSD symptoms 3 months after Super Typhoon Lekima, and children (55.9% girls; M(age) = 13.40 years old) reported their PTSD symptoms, sense of security, and catastrophization 3 months and 15 months after the typhoon. Results showed that intrusion in mothers predicated intrusion, avoidance, and hyperarousal symptoms in daughters, while avoidance and hyperarousal in mothers predicted the same symptoms in daughters. This was not observed in any other parent-child dyads. Moreover, mothers’ intrusion positively predicted daughters’ PTSD symptoms via daughters’ sense of security and then catastrophization, while mothers’ hyperarousal showed the opposite prediction. These findings suggest that a same-sex matching effect occurs from mothers to daughters in terms of intrusion, avoidance, and hyperarousal symptoms of PTSD. Thus, clinical interventions that target daughters’ PTSD symptoms should also consider mothers’ intrusion and avoidance symptoms. Moreover, it may be possible to develop interventions to improve daughters’ sense of security.
Hurricane Maria was the worst recorded natural disaster to affect Puerto Rico. Increased stress in pregnant women during and in the aftermath of the hurricane may have induced epigenetic changes in their infants, which could affect gene expression. Stage of gestation at the time of the event was associated with significant differences in DNA methylation in the infants, especially those who were at around 20-25 weeks of gestation when the hurricane struck. Significant differences in DNA methylation were also associated with maternal mental status assessed after the hurricane, and with property damage. Hurricane Maria could have long lasting consequences to children who were exposed to this disaster during pregnancy.
PurposeMany children who face natural disasters experience significant mental health consequences. Parents play a prominent role in the likelihood of child mental health outcomes after a weather-related disaster. This study aimed to examine the relationship between parent risk factors and children’s psychological well-being post Hurricane Harvey.MethodsParents (n = 140) completed a survey that measured hurricane exposure, parental depression and anxiety, parenting behaviors, and assistance given and received during or after Hurricane Harvey. Additionally, parents were asked to complete questionnaires assessing one of their children’s post-disaster psychosocial functioning and distress.ResultsResults indicated that heightened parent anxiety was significantly associated with an increased risk for emotional symptoms, conduct problems, and hyperactivity-inattention symptoms in children. Additionally, inconsistency in parental discipline was significantly associated with an increased risk of child conduct problems. Further, higher numbers of assistance types received by parents-a proxy indicator of resource loss-was associated with higher child emotional distress scores.ConclusionsBroader systems-level interventions that address parents’ physical and emotional needs may help mitigate maladaptive reactions in children and facilitate greater post-disaster psychosocial adjustment.
OBJECTIVES: This study investigated the impact of cancer diagnosis status, individual feelings of preparedness, and other covariates on objective emergency preparedness among women diagnosed with gynecological cancers before or after the 2017 Hurricanes Irma and Maria in Puerto Rico. METHODS: This study included 240 women who were interviewed by telephone from 9/2019-11/2020. Objective emergency preparedness was assessed using a list of six items. Subjective emergency preparedness was assessed by asking the women how prepared they felt (well, somewhat, or not at all) to face an emergency. Crude and multivariable logistic regression analyses were conducted to assess the associations (odds ratios [ORs] and 95% confidence intervals [CIs]) between variables of interest and objective preparedness. RESULTS: Before and after the hurricanes, 60% and 66% of women, respectively, were objectively prepared. Before the hurricanes, women reporting feeling well-prepared (vs. not prepared) (OR=9.31, 95%CI:3.96-21.91) and those who were diagnosed before (vs. after) the hurricanes (OR=1.71, 95%CI:0.95-3.09) were more likely to be objectively prepared. After the hurricanes, self-perceived well-preparedness (OR=2.46, 95% CI: 1.10-5.51) was positively associated with emergency preparedness when compared to feeling unprepared. CONCLUSIONS: Perceptions of emergency preparedness and having a cancer diagnosis increased the likelihood of being objectively prepared for an emergency. POLICY SUMMARY: This study demonstrates the need for state, territorial, and federal governments to include emergency preparedness plans for cancer patients in the Comprehensive Cancer Control plans. The study also indicates a need for cancer specific emergency preparedness information to be readily available for patients.
Following the 2010-2011 floods and cyclones that affected 78% of Queensland, Australia, a State-wide mental health response was established. The response plan included a 24-hour access line. This study examines the effectiveness of the mental health screening program conducted via the State-wide health call center (13HEALTH) in 2012. METHODS: Callers to the 13HEALTH line were screened to assess the impact of the disaster. The 13HEALTH clinicians administered the Primary Care-Posttraumatic Stress Disorder Scale (PC-PTSD) screening measure. Those scoring more than two on the PC-PTSD Scale were provided information on the emotional impact of disasters and a referral to the post-disaster specialist mental health program (SMHP). For calls related to those under 18, a single-item question assessed behavioral or emotional changes since the natural disasters. Those with identified changes were offered a referral to a post-disaster SMHP.The study evaluates the relationship between disaster exposure and the likelihood of 13HEALTH callers experiencing physical health concerns and unacknowledged mental health symptoms. The program’s cost for the 12 months of 2012 was assessed using data from the financial contract. RESULTS: In 2012, there were 205,064 calls to 13HEALTH: 19,708 identified as residing in a flood or cyclone-affected area, 7,315 adults indicated they were personally affected, and 907 scored more than two on the PC-PTSD Scale. Only 700 agreed to a referral to the SMHP. There were 290 children under 18 assessed as at risk; 207 accepted a referral to a SMHP.Regions that experienced a greater impact from the floods and cyclones were 1.3-2.3 times more likely to report being personally affected by the floods and cyclones. Similarly, these regions had more callers scoring more than two on the PC-PTSD Scale. The total cost of the 13HEALTH program for 2012 was $53,284 (AU) across all age groups. CONCLUSION: The 13HEALTH general health post-disaster screening program demonstrates opportunistic screening may assist identification of those with unmet mental health needs. The data indicate an increased likelihood of personal exposure in the more affected regions with an increased risk of unrecognized psychological symptoms as assessed by the PC-PTSD Scale. However, more than 20% declined referral to a SMHP.
There is limited knowledge on the relationship between neighborhood factors and mental health among displaced disaster survivors, particularly among women. Hurricane Katrina (Katrina) was the largest internal displacement in the United States (U.S.), which presented itself as a natural experiment. We examined the association between neighborhood socioeconomic status (SES) and mental health among women up to 10 years following Katrina (N = 394). We also investigated whether this association was modified by move status, comparing women who were permanently displaced to those who had returned to their pre-Katrina residence. We used hierarchical linear models to measure this association, using data from the American Community Survey and the Gulf Coast Child and Family Health study. Neighborhood SES was created as an index which represented social and economic characteristics of participants’ neighborhoods. Mental health was measured using mental component summary (MCS) scores. Increased neighborhood SES was positively associated with mental health after controlling for age, race/ethnicity, economic positioning, time, and move status (19.6, 95% Confidence Interval: 5.8, 33.7). Neighborhood SES and mental health was also modified by move status. These findings underscore the need to better understand the impacts of socioeconomic conditions and health outcomes among women affected by natural disasters.
Although the earth’s climate has been continuously changing over billions of years, human influence has accelerated that rate of change. While high latitudes suffer the greatest increase in incremental temperature, moderate latitudes are highly vulnerable due to their temperate/tropical rain storms and hurricanes that bring about extreme flooding events. We and others have shown that there is a link between the occurrence and severity of these climate events and risk of adverse perinatal outcomes. In this review, we will discuss the data and consider interacting near and intermediate sequelae of worsening natural disasters-including food scarcity, disrupted or compromised built environments and infrastructure, and loss of communities with human migration. While certainly tackling these and other proximal mediators of adverse perinatal outcomes will benefit maternal and child health, a failure to meaningfully address the root causes of climate change and resultant environmental chemical exposures will be of little long-term benefit.
The impact of natural hazards on nations and societies is a global challenge and concern. Worldwide, studies have been conducted within and between countries, to examine the spatial distribution and temporal evolution of fatalities and their impact on societies. In Brazil, no studies have comprehensively identified the fatalities associated with all natural hazards and their specificities by decade, region, sex, age, and other victim characteristics. This study carries out an in-depth analysis of the Brazilian Mortality Data of the Brazilian Ministry of Health, from 1979 to 2019, identifying the natural hazards that kill the most people in Brazil and their particularities. Lightning is the deadliest natural hazard in Brazil during this period, with a gradual decrease in the number of fatalities. The number of hydro-meteorological fatalities increases from 2000 onwards, with the highest number of fatalities occurring between 2010 and 2019. Although Brazil is a tropical country affected by severe droughts, extreme heat has the lowest number of fatalities compared to other natural hazards. The period from December to March has a higher number of fatalities, and the southeast is the most populous region where most people die. The number of male victims is twice as high as the number of female victims, across all ages groups, and unmarried victims are the most likely to die. It is therefore essential to recognize and disseminate the knowledge about the impact of different natural hazards on communities and societies, namely on people and their livelihoods, in order to assess the challenges and identify opportunities for reducing the effects of natural hazards in Brazil.
Mental health disorders have an increased prevalence in communities that experienced devastating natural disasters. Maria, a category 5 hurricane, struck Puerto Rico on September 20, 2017, weakening the island’s power grid, destroying buildings and homes, and limiting access to water, food, and health care services. This study characterized sociodemographic and behavioral variables and their association with mental health outcomes in the aftermath of Hurricane Maria. METHODS: A sample of 998 Puerto Ricans affected by Hurricane Maria was surveyed between December 2017 and September 2018. Participants completed a 5-tool questionnaire: Post-Hurricane Distress Scale, Kessler K6, Patient Health Questionnaire 9, Generalized Anxiety Disorder (GAD) 7, and Post-Traumatic Stress Disorder checklist for DSM-V. The associations of sociodemographic variables and risk factors with mental health disorder risk outcomes were analyzed using logistic regression analysis. RESULTS: Most respondents reported experiencing hurricane-related stressors. Urban respondents reported a higher incidence of exposure to stressors when compared to rural respondents. Low income (OR = 3.66; 95% CI = 1.34-11.400; p < 0.05) and level of education (OR = 4.38; 95% CI = 1.20-15.800; p < 0.05) were associated with increased risk for severe mental illness (SMI), while being employed was correlated with lower risk for GAD (OR = 0.48; 95% CI = 0.275-0.811; p < 0.01) and lower risk for SIM (OR = 0.68; 95% CI = 0.483-0.952; p < 0.05). Abuse of prescribed narcotics was associated with an increased risk for depression (OR = 2.94; 95% CI = 1.101-7.721; p < 0.05), while illicit drug use was associated with increased risk for GAD (OR = 6.56; 95% CI = 1.414-39.54; p < 0.05). CONCLUSION: Findings underline the necessity for implementing a post-natural disaster response plan to address mental health with community-based social interventions.
Advancements in early warning, efficient evacuation, and previous experience with cyclones have largely restricted disaster casualties in the Sundarban delta in India and Bangladesh. Despite the limited loss of life, post-cyclone soil, inland water salinity, and loss of agriculture productivity remain among the impeding factors affecting people’s lives. Two severe cyclones, cyclone Am-phan, which hit on May 20, 2020, and cyclone Yaas, which hit the delta on May 28, 2021, caused significant damage to the life and livelihood of the local people. In this paper, we inquired into the mental health and socio-psychological aspects of cyclone Amphan and Yaas-induced water in-security in the Indian Sundarban delta using both qualitative and quantitative research methods. The empirically derived data from Focus Group Discussions (N = 17; Number of participants = 157) and household surveys (N = 121) were subjected to various qualitative and quantitative analyses to understand the key determinants of post-cyclone water-induced mental health and well-being. Results suggest varying levels of stress and anxiety among the respondents, which include indecisiveness, general anxiety, fear of waterlessness, irritation, loss of self-esteem, and multiple other mental health issues. The FGD participants pointed out the severe impacts of the cyclones including increased seawater inundation, salinization of agricultural lands, flooding of the freshwater sources and increased water prices. Among all these impacts, seawater inunda-tion and salinization of water and soil have the most long-lasting impact on the life and livelihood of local people. In the quantitative analysis, we observed that the perceived lack of fresh water, including both quality and quantity, alongside, the experience of water-borne diseases, loss of so-cial relations, and loss of livelihood are the key determinants of the self-reported emotional stress of the respondents. In the lieu of existing knowledge gap on disaster-induced water insecurity and its impact on the mental health of affected people, the present research findings emphasize the need for resilient water structures on one side and socio-psychological counselling at the community level on the other side to ensure a sound recovery of the damaged resources as well as make the community a part of the recovery process that can improve their mental health.
This study provides a mental health assessment of the homeless of Puerto Rico, compared to a non-homeless sample, in the aftermath of Hurricane Maria. Multi-stage sampling was used to assess risk of anxiety, depression, and PTSD, as well as provide a demographic profile of the homeless and non-homeless of Puerto Rico. The homeless, compared to non-homeless, had a significantly higher risk for all tested mental disorders. Pre-hurricane homeless had significantly higher risk for Major Depressive Disorder and severe mood and anxiety disorders compared to post. This study highlights the need for disaster preparedness strategies specific to this disproportionately affected population.
While the COVID-19 pandemic is known to have caused widespread mental health challenges, it remains unknown how the prevalence, presentation, and predictors of mental health adversity during the pandemic compare to other mass crises. We shed light on this question using longitudinal survey data (2003-2021) from 424 low-income mothers who were affected by both the pandemic and Hurricane Katrina, which struck the U.S. Gulf Coast in 2005. The prevalence of elevated posttraumatic stress symptoms was similar 1-year into the pandemic (41.6%) as 1-year post-Katrina (41.9%), while elevated psychological distress was more prevalent 1-year into the pandemic (48.3%) than 1-year post-Katrina (37.2%). Adjusted logistic regression models showed that pandemic-related bereavement, fear or worry, lapsed medical care, and economic stressors predicted mental health adversity during the pandemic. Similar exposures were associated with mental health adversity post-Katrina. Findings underscore the continued need for pandemic-related mental health services and suggest that preventing traumatic or stressful exposures may reduce the mental health impacts of future mass crises.
Climate change poses a significant threat to mental health, potentially increasing the rates of mental health adversities and disorders. Therefore, mental health professionals, including psychiatrists, play a crucial role in addressing and mitigating these consequences. The Philippines, as a highly climate-vulnerable nation, serves as an exemplary case highlighting the roles these professionals can undertake in the climate change response, including providing services, engaging in education and training, promoting mental well-being, and conducting surveillance and research, such as studies exploring the causal relationship between mental health outcomes and climate change.
Prenatal maternal stress and mental health problems are known to increase risk for developmental psychopathology in offspring, yet pathways leading to risk or resiliency are poorly understood. In a quasi-experimental design, we prospectively examined associations between disaster-related prenatal stress, maternal mental health symptoms, and infant temperament outcomes. Mothers who were pregnant during Hurricane Harvey (N = 527) reported on objective hardships (e.g., loss of belongings or income, evacuation, home flooding) related to the storm and subsequent mental health symptoms (anxiety/depression, posttraumatic stress) across time. At a postpartum assessment, mothers reported on their infant’s temperament (negative affect, positive affect, orienting/regulatory capacity). Greater objective hardship indirectly predicted higher levels of infant orienting/regulatory capacity through its association with increased maternal posttraumatic stress symptoms. Greater objective hardship also indirectly predicted higher levels of infant negative affect through its association with increased maternal anxiety/depression symptoms across time. Our findings suggest a psychological mechanism linking prenatal stress with specific temperamental characteristics via maternal mental health symptoms. Findings point to the importance of high-quality assessment and mental health services for vulnerable women and young children.
Dengue fever is a rapidly spreading mosquito-borne contagion. However, the effects of extreme rainfall events on dengue occurrences have not been widely evaluated. With their immense precipitation and high winds, typhoons may have distinct effects on dengue occurrence from those during other heavy rain events. Frequented by typhoons and situated in the tropical climate zone, southern Taiwan is an appropriate study area due to its isolated geographic environment. Each subject to distinct orographic effects on typhoon structure and typhoon-induced precipitation, 9 typhoon trajectories around Taiwan have not been observed until now. This study analyzes typhoon-induced precipitation and examines historical typhoon events by trajectory to determine the effects of typhoons on dengue occurrences in different urban contexts of Tainan and Kaohsiung in high-epidemic southern Taiwan. We employed data from 1998 to 2019 and developed logistic regression models for modeling dengue occurrence while taking 28-day lag effects into account. We considered factors including typhoon trajectory, occurrence, and typhoon-induced precipitation to dengue occurrences. Our results indicate that typhoon trajectories are a significant risk factor for dengue occurrence. Typhoons affect dengue occurrence differently by trajectory. One out of four northbound (along the Taiwan Strait) and four out of five westbound (across Taiwan) typhoons were found to be positively correlated with dengue occurrences in southern Taiwan. We observe that typhoon-induced precipitation is not associated with dengue occurrence in southern Taiwan, which suggests that wind destruction during typhoon events may serve as the primary cause for their positive effects by leaving debris suitable for mosquito habitats. Our findings provide insights into the impact of typhoons by trajectory on dengue occurrence, which can improve the accuracy of future dengue forecasts in neighboring regions with similar climatic contexts.
Cyclone Idai in 2019 was one of the worst tropical cyclones recorded in the Southern Hemisphere. The storm caused catastrophic damage and led to a humanitarian crisis in Mozambique. The affected population suffered a cholera epidemic on top of housing and infrastructure damage and loss of life. The housing and infrastructure damage sustained during Cyclone Idai still has not been addressed in all affected communities. This is of grave concern because storm damage results in poor housing conditions which are known to increase the risk of malaria. Mozambique has the 4th highest malaria prevalence in sub-Saharan Africa and is struggling to control malaria in most of the country. We conducted a community-based cross-sectional survey in Sussundenga Village, Manica Province, Mozambique in December 2019-February 2020. We found that most participants (64%) lived in households that sustained damage during Cyclone Idai. The overall malaria prevalence was 31% measured by rapid diagnostic test (RDT). When controlling for confounding variables, the odds of malaria infection was nearly threefold higher in participants who lived in households damaged by Cyclone Idai nearly a year after the storm. This highlights the need for long-term disaster response to improve the efficiency and success of malaria control efforts.
BACKGROUND: There is substantial heterogeneity in how people react to potentially traumatic events (PTEs). Although some literature has explored this heterogeneity, there are only a few studies identifying factors associated with it within the disaster literature. OBJECTIVE: The current investigation identified latent classes of post-traumatic stress disorder (PTSD) symptoms and differences between these classes after exposure to Hurricane Ike. METHODS: Adults living in Galveston and Chambers County, Texas, (n = 658) completed a battery of measures during an interview conducted two to five months after Hurricane Ike. Latent class analysis (LCA) was performed to identify latent classes of PTSD symptoms. Additionally, gender, age, racial or ethnic minority status, depression severity, anxiety severity, quality of life, perceived need for services, and disaster exposure were examined to explore class differences. RESULTS: LCA supported a 3-class model with low (n = 407, 61.9%), moderate (n = 191, 29.0%), and high PTSD symptoms (n = 60, 9.1%). Women appeared most at-risk for a moderate-severity presentation as compared to a low-severity presentation. Further, racial or ethnic minority groups appeared most at-risk for a high-severity presentation as compared to a moderate-severity presentation. Overall, the high symptom class had the poorest well-being, the most perceived need for services, and the highest exposure to the disaster, followed by the moderate symptom class, and finally the low symptom class. CONCLUSIONS: PTSD symptom classes appeared to be differentiated primarily by overall severity as well as important psychological, contextual, and demographic dimensions.
BACKGROUND: Characterizing invasive mold infection (IMI) epidemiology in the context of large flooding events is important for public health planning and clinical decision making. METHODS: We assessed IMI incidence (per 10 000 healthcare encounters) 1 year before and after Hurricane Harvey at 4 hospitals in Houston, Texas. Potential IMI cases were assigned as proven or probable cases using established definitions, and surveillance cases using a novel definition. We used rate ratios to describe IMI incidence and multivariable logistic regression to examine patient characteristics associated with IMI case status. RESULTS: IMI incidence was significantly higher posthurricane (3.69 cases) than prehurricane (2.50 cases) (rate ratio, 1.48 [95% confidence interval, 1.10-2.00]), largely driven by surveillance IMI cases. Aspergillus was the most common species cultured (33.5% prehurricane and 39.9% posthurricane). About one-quarter (25.8%) of IMI patients lacked classical IMI risk factors such as hematologic malignancy and transplantations. Overall, 45.1% of IMI patients received intensive care, and in-hospital all-cause mortality was 24.2%. CONCLUSIONS: IMI incidence likely increased following Hurricane Harvey and outcomes for IMI patients were severe. Patient and clinician education on IMI prevention and identification is warranted, particularly as the frequency of extreme weather events increases due to climate change.
Strategic preparedness reduces the adverse health impacts of hurricanes and tropical storms, referred to collectively as tropical cyclones (TCs), but its protective impact could be enhanced by a more comprehensive and rigorous characterization of TC epidemiology. To generate the insights and tools necessary for high-precision TC preparedness, we introduce a machine learning approach that standardizes estimation of historic TC health impacts, discovers common patterns and sources of heterogeneity in those health impacts, and enables identification of communities at highest health risk for future TCs. The model integrates (i) a causal inference component to quantify the immediate health impacts of recent historic TCs at high spatial resolution and (ii) a predictive component that captures how TC meteorological features and socioeconomic/demographic characteristics of impacted communities are associated with health impacts. We apply it to a rich data platform containing detailed historic TC exposure information and records of all-cause mortality and cardiovascular- and respiratory-related hospitalization among Medicare recipients. We report a high degree of heterogeneity in the acute health impacts of historic TCs, both within and across TCs, and, on average, substantial TC-attributable increases in respiratory hospitalizations. TC-sustained windspeeds are found to be the primary driver of mortality and respiratory risks.
The gut microbiome is a potentially important mechanism that links prenatal disaster exposures with increased disease risks. However, whether prenatal disaster exposures are associated with alterations in the infant’s gut microbiome remains unknown. We established a birth cohort study named Hurricane as the Origin of Later Alterations in Microbiome (HOLA) after Hurricane Maria struck Puerto Rico in 2017. We enrolled vaginally born Latino term infants aged 2 to 6 months, including n = 29 infants who were exposed in utero to Hurricane Maria in Puerto Rico and n = 34 infants who were conceived at least 5 months after the hurricane as controls. Shotgun metagenomic sequencing was performed on infant stool swabs. Infants exposed in utero to Hurricane Maria had a reduced diversity in their gut microbiome compared to the control infants, which was mainly seen in the exclusively formula-fed group (P = 0.02). Four bacterial species, including Bacteroides vulgatus, Clostridium innocuum, Bifidobacterium pseudocatenulatum, and Clostridium neonatale, were depleted in the exposure group compared to the control group. Compositional differences in the microbial community and metabolic genes between the exposure and control groups were significant, which were driven by the formula feeding group (P = 0.02 for the microbial community and P = 0.008 for the metabolic genes). Metabolic modules involved in carbohydrate metabolism were reduced in the exposure group. Prenatal maternal exposure to Hurricane Maria was associated with a reduced gut commensal and an altered microbial composition and metabolic potential in the offspring’s gut. Breastfeeding can adjust the composition of the gut microbiomes of exposed infants. IMPORTANCE Climate change is a serious issue that is affecting human health. With more frequent and intense weather disasters due to climate change, there is an urgent need to evaluate and understand the impacts of prenatal disaster exposures on the offspring. The prenatal stage is a particularly vulnerable stage for disease origination. However, the impact of prenatal weather disaster exposures on the offspring’s gut microbiome has not been evaluated. Our HOLA study starts to fill this knowledge gap and provides novel insights into the microbiome as a mechanism that links prenatal disaster exposures with elevated disease risks. Our major finding that reduced microbial diversity and altered metabolic capacity are associated with prenatal hurricane exposures warrants further studies to evaluate the impact of weather disasters on the unborn.
Hurricane Maria was a disastrous weather event that devastated Puerto Rico (PR) in September 2017. Yet, little is known about people’s perceptions of this event. In this investigation, we offer insight about Hurricane Maria’s impact on PR’s inhabitants. More specifically, we study a sample (n = 542 responses) of individuals’ worry levels through four time points during the aftermath of Hurricane Maria: their variation through time, their relationship to decision making, and if and how certain demographic variables may influence them. For these purposes, we designed and implemented the Individual Emergency Response and Recovery Questionnaire, a web-based survey that measured several aspects of the objective and subjective experiences of individuals who underwent Hurricane Maria in PR. Results of a statistical analysis using nonparametric tests show that some of the demographic variables selected as factors of interest influence the worry levels reported by respondents. Most significant results coincide with conclusions drawn by literature: that time, age group, and the level of information influence worry levels. Another key finding is that the worry level may influence individual decision-making frequency. Understanding principal factors in people’s behavior and perceptions during hurricanes is crucial to help us learn how to better prepare for and respond to natural disasters in the future.
INTRODUCTION: Historically, natural disasters have been known to have an effect on humankind including physical and mental health. Studies dating from the early nineteen hundreds have shown repeated associations between different catastrophic natural disasters and its effects on cardiovascular (CV)health, including increased morbidity and mortality. Knowing that these effects on CV health last sometimes up to a decade, we sought to study the effects of hurricane Katrina on incidence of acute myocardial infarctions (AMI) to see if the effects perpetuated and continued or mitigated after the first decade. METHODS: Ours is a single center, retrospective observational study at TUHSC to compare the incidence of AMI, chronobiology and other demographic characteristics between the 2-year pre-Katrina and 14-year post-Katrina group. After IRB approval, patients were identified using specific ICD 9 and 10 codes. Data was collected by chart review and stored in secure password protected files. Descriptive statistics including mean, standard deviation and percentages were calculated. Statistical analysis comparing mean and standard deviations were performed using Chi-square test and t-test. RESULTS: The pre-Katrina cohort saw a 0.7% incidence of AMI, whereas the post-Katrina cohort saw 3.0% incidence of AMI (p < 0.001). The post- Katrina group was also noted to have significantly higher comorbidities including diabetes, hypertension, polysubstance abuse and coronary artery disease. CONCLUSIONS: Even 14 years after the storm, there was a four-fold increase in the incidence of AMI. Additionally, psychosocial, behavioral and traditional risk factors for CAD were significantly higher more than a decade after the natural disaster as well.
Tropical cyclone (TC) has a substantial and adverse impact on non-accidental mortality. However, whether heterogeneity exists when examining deaths from sub-causes and how TC impacts non-accidental mortality in the short term remain unclear. WHAT IS ADDED BY THIS REPORT? This study found substantial associations at lag 0 between TC exposure and circulatory and respiratory mortality. TC exposures were associated with increased risks for several mortality sub-causes at lag 0 day, including ischemic heart disease, myocardial infarction, cardiac arrest, cerebrovascular disease, stroke, chronic obstructive pulmonary disease, and Parkinson’s disease. WHAT ARE THE IMPLICATIONS FOR PUBLIC HEALTH PRACTICE? This finding suggests an urgent need to expand the public health focus of natural disaster management to include non-accidental mortality and sub-causes.
OBJECTIVE: To estimate inpatient asthma hospital visit rates among impacted Texans in Public Health Region 6/5S during the year of and following Hurricane Harvey. METHODS: Asthma inpatient hospitalization discharges were collected from the Texas Health Care Information Collection database (2016-2019). RESULTS: Females (age-adjusted rates/AARs = 4.8-5.0) and Black Texans (AARs = 5.0-8.1) experienced significantly higher AARs compared to males and White Texans during the year of and following Harvey. During the year of Hurricane Harvey, females were 1.49 times as likely to have an inpatient asthma visit compared to males, while Black Texans were 2.78 times as likely to have an inpatient asthma hospitalization compared to White Texans. CONCLUSIONS: Findings from this study may assist public health professionals and local officials to allocate future resources to the most impacted subgroups as well as establish effective processes to mitigate consequences.
The impact of hurricane-related flooding on infectious diseases in the US is not well understood. Using geocoded electronic health records for 62,762 veterans living in North Carolina counties impacted by Hurricane Matthew coupled with flood maps, we explore the impact of hurricane and flood exposure on infectious outcomes in outpatient settings and emergency departments as well as antimicrobial prescribing. Declines in outpatient visits and antimicrobial prescribing are observed in weeks 0-2 following the hurricane as compared with the baseline period and the year prior, while increases in antimicrobial prescribing are observed 3+ weeks following the hurricane. Taken together, hurricane and flood exposure appear to have had minor impacts on infectious outcomes in North Carolina veterans, not resulting in large increases in infections or antimicrobial prescribing.
Human health in Odisha is directly vulnerable to climate change in the form of mortality as a result of climate-induced natural disasters (CINDs) and heatwaves. More frequent and intensified CIND has become an inevitable part of the state and its impact on human health has been detrimental. The magnitude of the impact of climate change on human health depends on the vulnerability and adaptation approaches of the state. The objectives of the paper are to study the changing pattern of climatic variability over 20 years in the state and to analyze the direct impact of climate change on human health in Odisha. Linear trend analysis is performed for annual average, pre-monsoon, monsoon, and post-monsoon rainfall as well as annual maximum and minimum temperature and for the heatwave period to show the changing pattern of climate in the state over 20 years. Regression analysis is performed between the indexed value of vulnerability and adaptation coefficients considered in the study as independent variables and mortality due to CIND as the dependent variable to analyze the impact of climate change on human health in the state. Also, correlation analysis is conducted to show the association between heatwave mortality and the maximum temperature of the heatwave period. The rainfall trend of the state for 20 years from 2000 to 2020 is found to increase in pre-monsoon and post-monsoon periods, while the annual average rainfall of the state for 20 years is slightly increasing and the monsoon period rainfall has remained consistent throughout the years. The annual maximum and minimum temperature and the heatwave period are found to be increasing. The regression analysis has shown a significant positive relationship between vulnerability coefficients and mortality as a direct impact of CIND on human health, whereas adaptation coefficients exhibit negative relation with it. Also, there is a moderate but significant association between the maximum temperature of the heatwave period with heatwave mortality. Odisha has been vulnerable to climate change during 2000-2020 as indicated by the high vulnerability score compared to the adaptation score for each year. However, years with better adaptive approaches, having high adaptive index scores, experienced less human mortality even with high vulnerability scores.
The aim of this study was to look at a cohort of adolescents who were already enrolled in a randomized controlled trial to see (1) how demographics were associated with hurricane impact, and (2) how hurricane impact was associated with reported asthma quality of life. METHODS: One hundred fifty-one adolescents ages 11-17 and their parents enrolled in a randomized controlled trial at 2 sites in southeastern North Carolina completed questions about asthma quality of life, demographics, and the impact of Hurricane Matthew. RESULTS: The most common effects of Hurricane Matthew were that the family’s home was damaged or flooded (32.5%), the school was damaged or flooded (31.8%), and the home had mold or mildew as a result of flooding or damage (25.8%). Problems with access to care were more common for families whose adolescent was non-White (P = 0.04), on Medicaid (P = 0.05), or if the family spoke Spanish at home (P < 0.001). Being affected by the hurricane was negatively associated with asthma quality of life. CONCLUSIONS: Hurricane Matthew had significant impact on the health of adolescents with asthma in the affected region, especially in the most vulnerable populations. Providers should ensure that families of adolescents with asthma have a hurricane plan to mitigate impact on their children's health.
OBJECTIVE: To evaluate the impact of Hurricanes Irma and Maria on 3 major chronic diseases in Puerto Rico. METHODS: San Juan Overweight Adults Longitudinal study participants were re-evaluated after Hurricanes Irma and Maria (May 2019-July 2020) for the Preparedness to Reduce Exposures and Diseases Post-hurricanes and Augment Resilience study. This study compared the prevalence and incidence of asthma, depression, and hypertension within the same 364 individuals over time. RESULTS: Asthma and depression prevalence and incidence did not change significantly after the hurricanes. The prevalence of hypertension increased significantly after the hurricanes (OR = 2.2, 95% CI: 1.2, 3.9). The incidence of hypertension after the hurricanes (IR = 9.0, 95% CI: 6.5, 12.4) increased significantly compared to before the hurricanes (IR = 6.1, 95% CI: 4.5, 8.0) (age-adjusted incidence rate ratio [aIRR] = 1.4, 95% CI: 4.5, 8.0) for similar time periods. CONCLUSION: Hurricanes Irma and Maria were associated with a significant increase in the prevalence and incidence of hypertension in this study population. Contrary to expectations, no significant increases were observed in depression and asthma prevalence after the hurricanes. Results from this study can inform better strategies to prevent and manage hypertension in the population affected by a hurricane.
OBJECTIVES: To assess changes in mental health and social risk factors in pregnant women in counties affected by Hurricane Michael (October 2018). METHODS: Data from the Universal Perinatal Risk Screen (UPRS) and vital statistics for the state of Florida were obtained. Prenatal risk factors (unplanned pregnancy, mental health services, high stress, use of tobacco or alcohol, young children at home or with special needs, trouble paying bills) were compared in the year before and year after Hurricane Michael in affected counties (n = 18,887). Log-Poisson regression with robust variance was used for binary outcomes, adjusting for maternal age, race, BMI, and education. RESULTS: A smaller proportion of pregnant women were screened in the months after the hurricane. No changes were seen in overall scores. The proportion referred was lower in the 1 month after Michael compared to that in 1 month before Michael (RR 0.78, 95% CI = 0.71, 0.86), but greater in the year after (RR = 1.07, 95% CI: 1.04, 1.10). Most individual risk factors on the screener did not change significantly, except having an illness that required ongoing medical care was less common in the short term (3 months after vs. 3 months before: aRR = 0.76, 95% CI: 0.66, 0.87), and more common in the longer term (1 year after vs. 1 year before, aRR = 1.09, 95% CI: 1.02, 1.18). Birth certificate data suggested smoking during pregnancy was higher among women who experienced Michael during their pregnancies (aRR = 1.15, 95% CI: 1.01, 1.32). DISCUSSION: Perinatal screening and referral declined in the short-term aftermath of Hurricane Michael.
Hurricane Maria (2017) caused great damage to Puerto Rico, undermining people’s quality of life and forcing thousands to migrate to the U.S. mainland. Identifying individuals at elevated risk of suffering mental health problems as a function of being exposed to hurricane and cultural stress is crucial to reducing the burden of such health outcomes. The present study was conducted in 2020-2021 (3-4 years postdisaster) with 319 adult Hurricane Maria survivors on the U.S. mainland. We aimed to (a) identify latent stress subgroups, as defined by hurricane stress and cultural stress, and (b) map these latent stress subgroups or classes onto sociodemographic characteristics and mental health indicators (i.e., symptoms of posttraumatic stress disorder, depression, and anxiety). We used latent profile analysis and multinomial regression modeling to accomplish the study aims. We extracted four latent classes: (a) low hurricane stress/low cultural stress (44.7%), (b) low hurricane stress/moderate cultural stress (38.7%), (c) high hurricane stress/moderate cultural stress (6.3%), and (d) moderate hurricane stress/high cultural stress (10.4%). Individuals in the low hurricane stress/low cultural stress class reported the highest household incomes and levels of English-language proficiency. The moderate hurricane stress/high cultural stress class reported the worst mental health outcomes. While postmigration cultural stress, as a chronic stressor, emerged as the most important predictor of poor mental health, hurricane stress, as an acute stressor that occurred several years earlier, emerged as less influential. Our findings might be used to inform mental health prevention experts who work with natural disaster survivors forced to migrate. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
South Florida experiences some of the highest coastal hurricane vulnerability in the United States. Mobile home communities in south Florida are particularly vulnerable to hurricanes due to the weaker structural integrity of the home or land and a mix of structural and sociodemographic factors. A mixed-methods study was conducted to assess hurri-cane risk perceptions, experiences, and decision-making among permanent mobile home park (MHP) residents in Broward and Miami-Dade Counties. Return-by-mail surveys were distributed in July 2016 after several years of nominal hurricane ac-tivity in south Florida (and before Hurricane Matthew’s formation in September 2016), and focus groups were conducted at MHPs in May 2018, eight months after Hurricane Irma’s September 2017 landfall. Quantitative analysis of 44 in-person and 57 return-by-mail survey responses revealed that respondents tended to be older, retired, or unemployed and had modest levels of education, with many expressing forms of social-and structural-level hurricane risk before Hurricane Matthew. Qualitative analysis of six focus group discussions conducted after Hurricane Irma revealed that the constraints and vulner-abilities experienced by residents coalesced into several primary themes related to preparation, evacuation, assistance, stress and anxiety, tree concerns, and recovery. Participants specifically highlighted their concerns about tree hazards, damages, and maintenance issues arising before, during, and after hurricanes in MHPs. These results build on the scholarship on hurricane risk by underscoring the structural and social vulnerability of residents living in MHPs that constrain building resilience, adaptive capacity, community restoration efforts, and advocating for policy changes.
To evaluate the impact of Hurricanes Irma/Maria on diabetes incidence in Puerto Rico. Mortality increased substantially after the hurricanes, but morbidity was not assessed. METHODS: We recruited 364 participants from the San Juan Overweight Adults Longitudinal Study (SOALS) aged 40-65 years who completed a three-year follow-up and were free of diabetes. We conducted additional questionnaires 1.7-2.5 years after hurricanes. Glycosylated hemoglobin (HbA1c), fasting glucose and insulin were assessed at all three visits. We compared diabetes incidence between pre-hurricane visits and between visits spanning the hurricanes using Generalized Estimating Equation (GEE) adjusting for within person repeated measures, age, and body mass index (BMI). RESULTS: Diabetes incidence was significantly higher spanning the hurricanes than pre-hurricane (multivariate GEE model: IRR = 2.1; 95% CI: 1.4-3.1). There was a significantly higher increase spanning the hurricanes compared to pre-hurricanes for Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) (median: 0.3 uIU/mL vs. 0.2 uIU/mL). HbA1c levels increased by 0.4% spanning the hurricanes. CONCLUSION: Increases in diabetes incidence, HOMA-IR and HbA1c were higher spanning the hurricanes compared to the pre-hurricanes period. The increase in diabetes incidence remains significant after adjusting for age and BMI.
This study investigates the impact of hurricanes on fertility and the role of family structure in early 20th century Jamaica. Importantly, this was a time period in which there were no storm warnings or other formal disaster mitigation policies in place, allowing one to arguably identify the causal effect of storms on births without any policy interference. To this end, historical hurricane tracks and an exhaustive register of births are used to create a parish level monthly data set on births and hurricane destruction for the period 1901 to 1929. The regression analysis reveals that hurricanes impact excess births for close to 2 years after the event, with the average damaging storm causing a reduction in births of around 13%. Most of the negative effect is due to lower post-storm fertility rather than a fall in births by women affected while pregnant. There is no evidence that the fall in births was driven by fertile females dying as a result of the hurricane. Similarly, there was no discernible differential impact between single mother and two parent registered births, where the impact on the latter appears to be driven by non-marital conjugal unions.
In 2017, Hurricane Harvey flooded more than 300,000 buildings causing an estimated $125 billion in damages and resulting in 68 deaths (National Hurricane Center). This actual or threatened loss of life and physical harm led many to report negative effects on mental well-being and greater mental illness. However, many individuals have been able to experience similar adverse events without a significant negative impact on their mental health and well-being. Positive thinking factors such as hope, optimism, and self-efficacy have been proposed as protective factors in the face of difficult life events. Hope, optimism, and self-efficacy are related but distinct constructs that have often been studied separately, but whose unique impact on well-being and mental illness is less clear, especially in the context of a natural hazard. The current study uses structural equation modeling to measure the unique contribution of hope, optimism, and hurricane-coping self-efficacy on mental well-being and mental illness in a community sample of 300 subjects who experienced Hurricane Harvey, recruited from Mechanical Turk.
This paper provides an assessment of residential satisfaction of post-disaster resettlement areas that were built in Tacloban City, Leyte, Philippines after Typhoon Haiyan. We analyze four com-ponents of residential satisfaction: environmental, infrastructure and management, social and neighborhood and economic-livelihood services. Results from the study indicate that the resi-dents are moderately satisfied with the post-disaster housing provided after typhoon Yolanda. A multiple linear regression was employed in the study to determine the factors that are correlated with housing satisfaction. Results from the regression show that use of houses for cultural activi-ties, presence of health infrastructure and membership in associations were the common predic-tor variables to determine residential satisfaction. Meanwhile, the presence of infrastructural de-fects such as wall cracks and distance from the city center are negatively associated with housing satisfaction. The data from this study provides specific factors that can influence residential satis-faction which can provide targeted interventions for future resettlement projects.
People impacted by disasters may have adverse non-communicable disease health effects associated with the disaster. This research examined the independent and joint impacts of federally declared disasters on the diagnosis of hypertension (HTN), diabetes (DM), anxiety, and medication changes 6 months before and after a disaster. Patients seen in zip codes that received a federal disaster declaration for Hurricanes Gustave or Ike in 2008 and who had electronic health records captured by MarketScan(®) were analyzed. The analysis included patients seen 6 months before or after Hurricanes Gustav and Ike in 2008 and who were diagnosed with HTN, DM, or anxiety. There was a statistically significant association between post-disaster and diagnosis of hypertension, X(2) (1, n = 19,328) = 3.985, p = 0.04. There was no association post-disaster and diabetes X(2) (1, n = 19,328) = 0.778, p = 0.378 or anxiety, X(2) (1, n = 19,328) = 0.017, p = 0.898. The research showed that there was a change in the diagnosis of HTN after a disaster. Changes in HTN are an additional important consideration for clinicians in disaster-prone areas. Data about non-communicable diseases help healthcare disaster planners to include primary care needs and providers in the plans to prevent the long-term health impacts of disasters and expedite recovery efforts.
Increased occurrences of harmful algal blooms (HAB) in the Gulf of Mexico, and even worldwide, yield concern for increases in brevetoxin exposure leading to respiratory illness or even death, highlighting the need for extensive scientific research and human health monitoring. It is known that major events such as tropical storms and hurricanes are followed by periods of increased red tides caused by HABs; however, the nature by which phytoplankton blooms proliferate following major events remains a topic of great interest and research. The impact of Hurricane Michael on October 10, 2018 on HABs in the Florida panhandle was examined by analyzing data from the Florida Fish and Wildlife Conservation Commission in coordination with Normalized Fluorescence Line Height (nFLH) data from the University of South Florida College of Marine Science. Results presented here demonstrate four phases of HABs during storm events: 1. Pre-storm concentrations, 2. Decreased concentration during the storm, 3. Elevated concentrations following the storm and 4. Recovery period. This time frame can serve to be important in understanding the health dynamics of coastal systems following major storm events.
Using the difference-in-difference (DID) method, this study uses Typhoon Morakot, which occurred in August 2009, as an example to estimate the effect of flooding on health care cost burden. The main data source is the medical claims records of a cohort of three million patients in Taiwan’s National Health Insurance system. By examining flood-related physiological diseases and disaster-related mental illnesses, our results indicate that the increase in outpatient health care costs resulting from the flood caused by the typhoon is approximately NTD 8.95 billion (USD 280 million), equivalent to approximately 69% of the annual special budget for flooding prevention during the period 2006-2019 in Taiwan. Moreover, the increase in outpatient expenditure for mental illnesses is nearly 10 times that of physiological diseases. An important implication of our findings is that the cost of preventing natural disasters, such as floods, can be offset by saving health care costs, particularly for mental illnesses. Our results also suggest that in addition to providing safe drinking water and indoor residual spraying, offering continuous postdisaster mental health services can further save health care expenditures caused by natural disasters.
Tropical cyclones (TCs) pose a significant threat to human health, and research is needed to identify high-risk subpopulations. We investigated whether hospitalization risks from TCs in Florida (FL), United States, varied across individuals and communities. We modeled the associations between all storms in FL from 1999 to 2016 and over 3.5 million Medicare hospitalizations for respiratory (RD) and cardiovascular disease (CVD). We estimated the relative risk (RR), comparing hospitalizations during TC-periods (2 days before to 7 days after) to matched non-TC-periods. We then separately modeled the associations in relation to individual and community characteristics. TCs were associated with elevated risk of RD hospitalizations (RR: 4.37, 95% CI: 3.08, 6.19), but not CVD (RR: 1.04, 95% CI: 0.87, 1.24). There was limited evidence of modification by individual characteristics (age, sex, or Medicaid eligibility); however, risks were elevated in communities with higher poverty or lower homeownership (for CVD hospitalizations) and in denser or more urban communities (for RD hospitalizations). More research is needed to understand the potential mechanisms and causal pathways that might account for the observed differences in the association between tropical cyclones and hospitalizations across communities.
More intense cyclones are expected in the future as a result of climate change. A comprehensive review is urgently needed to summarize and update the evidence on the health effects of cyclones. OBJECTIVES: We aimed to provide a systematic review with meta-analysis of current evidence on the risks of all reported health outcomes related to cyclones and to identify research gaps and make recommendations for further research. METHODS: We systematically searched five electronic databases (MEDLINE, Embase, PubMed, Scopus, and Web of Science) for relevant studies in English published before 21 December 2022. Following the Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) guidelines, we developed inclusion criteria, screened the literature, and included epidemiological studies with a quantitative risk assessment of any mortality or morbidity-related outcomes associated with cyclone exposures. We extracted key data and assessed study quality for these studies and applied meta-analyses to quantify the overall effect estimate and the heterogeneity of comparable studies. RESULTS: In total, 71 studies from eight countries (the United States, China, India, Japan, the Philippines, South Korea, Australia, Brazil), mostly the United States, were included in the review. These studies investigated the all-cause and cause-specific mortality, as well as morbidity related to injury, cardiovascular diseases (CVDs), respiratory diseases, infectious diseases, mental disorders, adverse birth outcomes, cancer, diabetes, and other outcomes (e.g., suicide rates, gender-based violence). Studies mostly included only one high-amplitude cyclone (cyclones with a Saffir-Simpson category of 4 or 5, i.e., Hurricanes Katrina or Sandy) and focused on mental disorders morbidity and all-cause mortality and hospitalizations. Consistently elevated risks of overall mental health morbidity, post-traumatic stress disorder (PTSD), as well as all-cause mortality or hospitalizations, were found to be associated with cyclones. However, the results for other outcomes were generally mixed or limited. A statistically significant overall relative risk of 1.09 [95% confidence interval (CI): 1.04, 1.13], 1.18 (95% CI: 1.12, 1.25), 1.15 (95% CI: 1.13, 1.18), 1.26 (95% CI: 1.05, 1.50) was observed for all-cause mortality, all-cause hospitalizations, respiratory disease, and chronic obstructive pulmonary disease hospitalizations, respectively, after cyclone exposures, whereas no statistically significant risks were identified for diabetes mortality, heart disease mortality, and preterm birth. High between-study heterogeneity was observed. CONCLUSIONS: There is generally consistent evidence supporting the notion that high-amplitude cyclones could significantly increase risks of mental disorders, especially for PTSD, as well as mortality and hospitalizations, but the evidence for other health outcomes, such as chronic diseases (e.g., CVDs, cancer, diabetes), and adverse birth outcomes remains limited or inconsistent. More studies with rigorous exposure assessment, of larger spatial and temporal scales, and using advanced modeling strategy are warranted in the future, especially for those small cyclone-prone countries or regions with low and middle incomes. https://doi.org/10.1289/EHP12158.
The global spatiotemporal pattern of mortality risk and burden attributable to tropical cyclones is unclear. We aimed to evaluate the global short-term mortality risk and burden associated with tropical cyclones from 1980 to 2019. METHODS: The wind speed associated with cyclones from 1980 to 2019 was estimated globally through a parametric wind field model at a grid resolution of 0·5° × 0·5°. A total of 341 locations with daily mortality and temperature data from 14 countries that experienced at least one tropical cyclone day (a day with maximum sustained wind speed associated with cyclones ≥17·5 m/s) during the study period were included. A conditional quasi-Poisson regression with distributed lag non-linear model was applied to assess the tropical cyclone-mortality association. A meta-regression model was fitted to evaluate potential contributing factors and estimate grid cell-specific tropical cyclone effects. FINDINGS: Tropical cyclone exposure was associated with an overall 6% (95% CI 4-8) increase in mortality in the first 2 weeks following exposure. Globally, an estimate of 97 430 excess deaths (95% empirical CI [eCI] 71 651-126 438) per decade were observed over the 2 weeks following exposure to tropical cyclones, accounting for 20·7 (95% eCI 15·2-26·9) excess deaths per 100 000 residents (excess death rate) and 3·3 (95% eCI 2·4-4·3) excess deaths per 1000 deaths (excess death ratio) over 1980-2019. The mortality burden exhibited substantial temporal and spatial variation. East Asia and south Asia had the highest number of excess deaths during 1980-2019: 28 744 (95% eCI 16 863-42 188) and 27 267 (21 157-34 058) excess deaths per decade, respectively. In contrast, the regions with the highest excess death ratios and rates were southeast Asia and Latin America and the Caribbean. From 1980-99 to 2000-19, marked increases in tropical cyclone-related excess death numbers were observed globally, especially for Latin America and the Caribbean and south Asia. Grid cell-level and country-level results revealed further heterogeneous spatiotemporal patterns such as the high and increasing tropical cyclone-related mortality burden in Caribbean countries or regions. INTERPRETATION: Globally, short-term exposure to tropical cyclones was associated with a significant mortality burden, with highly heterogeneous spatiotemporal patterns. In-depth exploration of tropical cyclone epidemiology for those countries and regions estimated to have the highest and increasing tropical cyclone-related mortality burdens is urgently needed to help inform the development of targeted actions against the increasing adverse health impacts of tropical cyclones under a changing climate. FUNDING: Australian Research Council and Australian National Health and Medical Research Council.
Changing climatic conditions influence parameters associated with the growth of pathogenic Vibrio spp. in the environment and, hence, are linked to increased incidence of vibriosis. Between 1992 and 2022, a long-term increase in Vibrio spp. infections was reported in Florida, USA. Furthermore, a spike in Vibrio spp. infections was reported post Hurricane Ian, a category five storm that made landfall in Florida on 28 September 2022. During October 2022, water and oyster samples were collected from three stations in Lee County in an area significantly impacted by Ian. Vibrio spp. were isolated, and whole-genome sequencing and phylogenetic analysis were done, with a focus on Vibrio parahaemolyticus and Vibrio vulnificus to provide genetic insight into pathogenic strains circulating in the environment. Metagenomic analysis of water samples provided insight with respect to human health-related factors, notably the detection of approximately 12 pathogenic Vibrio spp., virulence and antibiotic resistance genes, and mobile genetic elements, including the SXT/R391 family of integrative conjugative elements. Environmental parameters were monitored as part of a long-term time series analysis done using satellite remote sensing. In addition to anomalous rainfall and storm surge, changes in sea surface temperature and chlorophyll concentration during and after Ian favored the growth of Vibrio spp. In conclusion, genetic analysis coupled with environmental data and remote sensing provides useful public health information and, hence, constitute a valuable tool to proactively detect and characterize environmental pathogens, notably vibrios. These data can aid the development of early warning systems by yielding a larger source of information for public health during climate change. Evidence suggests warming temperatures are associated with the spread of potentially pathogenic Vibrio spp. and the emergence of human disease globally. Following Hurricane Ian, the State of Florida reported a sharp increase in the number of reported Vibrio spp. infections and deaths. Hence, monitoring of pathogens, including vibrios, and environmental parameters influencing their occurrence is critical to public health. Here, DNA sequencing was used to investigate the genomic diversity of Vibrio parahaemolyticus and Vibrio vulnificus, both potential human pathogens, in Florida coastal waters post Hurricane Ian, in October 2022. Additionally, the microbial community of water samples was profiled to detect the presence of Vibrio spp. and other microorganisms (bacteria, fungi, protists, and viruses) present in the samples. Long-term environmental data analysis showed changes in environmental parameters during and after Ian were optimal for the growth of Vibrio spp. and related pathogens. Collectively, results will be used to develop predictive risk models during climate change.
Geographic information systems (GIS) can be used to map mosquito larval and adult habitats and human populations at risk for mosquito exposure and possible arbovirus transmission. Along with traditional methods of surveillance-based targeted mosquito control, GIS can help simplify and target efforts during routine surveillance and post-disaster (e.g., hurricane-related flooding) to protect emergency workers and public health. A practical method for prioritizing areas for emergency mosquito control has been developed and is described here. North Carolina (NC) One Map was used to identify state-level data layers of interest based on human population distribution and mosquito habitat in Brunswick, Columbus, Onslow, and Robeson Counties in eastern NC. Relevant data layers were included to create mosquito control treatment areas for targeted control and an 18-step protocol for map development is discussed. This protocol is expected to help state, territorial, tribal, and/or local public health officials and associated mosquito control programs efficiently create treatment area maps to improve strategic planning in advance of a disaster. This protocol may be applied to any NC county and beyond, thereby increasing local disaster preparedness.
OBJECTIVE: Belsky’s parenting model provides insight into the relationship between parental psychological status and parenting behaviors. However, little is known about the unique associations of posttraumatic stress disorder (PTSD) symptoms with specific parenting behaviors. This study aimed to assess the associations of PTSD symptoms and three types of parenting behaviors (rejection, emotional warmth, and overprotection) with marital satisfaction, and to examine gender differences in these associations. METHOD: Self-report questionnaires were used to survey 4,570 parents 3 months after Typhoon Lekima in China. RESULTS: The results showed that intrusion and avoidance symptoms had positively indirect associations with emotional warmth and negatively indirect associations with rejection and overprotection via marital satisfaction. However, negative cognitive and emotional alterations (NCEA) and hyperarousal symptoms had opposite relationships with three types of parenting behavior. A gender-moderated mediation relationship was found in the associations of PTSD symptoms and parenting behaviors via marital satisfaction. Marital satisfaction played a mediating role in the relationships between four PTSD symptom clusters and three types of parenting behavior in mothers, whereas in fathers, marital satisfaction mediated only the relationships of NCEA and hyperarousal symptoms with three types of parenting behavior. CONCLUSIONS: Marital satisfaction mediated the associations between four distinct PTSD symptom clusters and three types of parenting behavior, and a gender difference was found to be in these indirect relationships. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
Extreme weather events are increasing in frequency and severity due to climate change, yet many of their impacts on human populations are not well understood. We examine the relationship between prior extreme weather events and food environment characteristics. To do so, we conduct a U.S. county-level analysis that assesses the association between extreme weather events and two common food retail environment dimensions. Overall, we find a relationship between higher levels of historic extreme weather exposure and lower food availability and accessibility. In addition, we find heterogeneity in association across the distribution of the number of extreme weather events and event type. Specifically, we find that more localized extreme weather events are more associated with a reduction of access and availability than broad geographic events. Our findings suggest that as extreme weather events amplify in intensity and increase in frequency, new approaches for mitigating less acute and longer-term impacts are needed to address how extreme weather may interact with and reinforce existing disparities in food environment factors. Furthermore, our research argues that integrated approaches to improving vulnerable food retail environments will become an important component of extreme weather planning and should be a consideration in both disaster- and food-related policy.
Fetal life and infancy are extremely sensitive to adverse environmental conditions. This study aimed to assess the effect of exposure to a natural disaster (cyclone Aila) in utero or during infancy on fine and gross motor functions in preadolescent Indian children. The study was conducted in West Bengal, India, and included approximately 700 children (7-10 years old) who were prenatally or postnatally exposed to cyclone Aila and a nonaffected group. Anthropometric measures included height, weight, and birthweight. Socioeconomic status was based on parental education, family size, and income. Motor functions were assessed using the short form of Bruininks-Oseretsky Test of Motor Proficiency (BOT-2). Statistical analyses included, for example, generalized linear models. There were no differences in motor functions relative to the timing of the exposure (trimester) during pregnancy. Compared to the controls, prenatal Aila exposure resulted in poorer performance in all BOT-2 subtests, except for fine motor precision, strength, and balance (the last in boys), while postnatal Aila exposure, compared to the controls, resulted in poorer performance in manual dexterity, bilateral coordination, balance (girls only), and speed and agility. Early life exposure to a natural disaster has long-term adverse effect on motor proficiency in children. By inference, the welfare of pregnant women and infants should be of particular concern for emergency and health services during an environmental cataclysm.
OBJECTIVE: Immigrants typically experience poor health outcomes after disasters but are often excluded in disaster studies. We assessed physical and mental health outcomes among Houston-area Vietnamese American residents after Hurricane Harvey and hurricane-related characteristics associated with poor health outcomes. METHODS: We conducted in-person structured surveys among 120 Vietnamese Americans from November 2018 through February 2019. We used the physical and mental component scores of the 12-Item Short-Form Health Survey to assess health outcomes. We used descriptive statistics for health outcomes and hurricane-related effects and examined the associations between hurricane-related characteristics and health outcomes. RESULTS: Overall mean (95% CI) physical and mental component scores were 39.8 (29.7-49.9) and 32.6 (27.6-37.6), respectively. The odds of poor physical health poststorm were significantly higher among participants reporting ≥5 versus <5 depressive symptoms (odds ratio [OR] = 3.04; 95% CI, 1.11-8.29; P = .03) and significantly lower among participants with versus without health insurance (OR = 0.25; 95% CI, 0.09-0.71; P = .01). The odds of experiencing poor mental health more than a year after the hurricane were significantly higher among those sustaining versus not sustaining a serious injury/illness because of the hurricane (OR = 3.34; 95% CI, 1.12-9.94; P = .03) and among those who were married/partnered versus not married/partnered (OR = 4.16; 95% CI, 1.32-13.07; P = .02). Receiving versus not receiving free health care services after the hurricane and having high versus low levels of acculturation protected against poor mental health (P < .05 for both). CONCLUSIONS: Our findings highlight the inequalities of postdisaster health outcomes in this immigrant population and emphasize the need for improved disaster recovery programs that account for these factors.
Bangladesh’s success in disaster risk management is often evidenced by referencing the reduction of deaths caused by tropical cyclones – the Cyclone Gorky 1991 caused 147,000 deaths, the Cyclone Sidr 2007 caused 4500 deaths and only 6 deaths by the Cyclone Mora in 2017. This raises questions of how deaths occurred by tropical cyclones in the past and what factors still might contribute towards deaths from cyclone hazards? This study answers these questions through face-to-face interviews with 362 residents, field visits and observations across coastal Bangladesh. The findings indicate that there have been improvements in house structures and design, warning responses and evacuation processes to public cyclone shelters and informal cyclone shelter centres. In the past, due to a lack of built infrastructure, strong residential houses and public cyclone shelters, deaths occurred whilst living in fragile houses; attempting to survive through holding trees and floating in storm surges. The top ten factors that may still cause deaths by tropical cyclones include: (1) Living adjacent to the coast without an embankment or lack of embankment, or the failure of an established embankment; (2) the repeat of a 1991-like cyclone; (3) non-evacuation following early warning; (4) poor roads in remote areas to facilitate mass movement; (5) distance to and insufficient number of public cyclone shelters; (6) lack of protective measures for the rising number of elderly and disabled people; (7) community’s unawareness; (8) communication failure during the emergency period; (9) failure to evacuate people from remote locations; and (10) Poor radio signal and mobile network issues resulting in no warning information being effectively and timely communicated. This study provides several key recommendations addressing these factors of deaths, to be implemented by individual, community, private sectors, non-government organisations (NGOs) and public sectors across coastal Bangladesh.
This article addresses how African states respond to climate crisis, arguing that, beyond the agency and impact of climate phenomena such as drought and cyclones, they are active participants in the production of climate disasters and emergencies, mostly through infrastructural processes that affect land and resource use, and subsequently livelihoods. To demonstrate this, it uses the cases of the drought in southwestern Angola and cyclones in northern and central Mozambique, where such climate phenomena have exposed ‘fatal architectures’ that have dramatically raised the toll of climate victims and refugees. Both extractivist, agro-industrial and hydroelectric projects, as well as other, more deferred infrastructural designs (roads, communication networks, etc.) have challenged the traditional agency and resilience of local communities. Such new infrastructural projects also illustrate how certain perceived long-term solutions to address the climate crisis with industrial and energy reconversion towards greener energies can still become fatal architectures in the context of climate emergencies. Ce texte traite de la maniere dont les etats africains repondent a la crise climatique, en soutenant que, au-dela de l’impact des phenomenes climatiques tels que la secheresse et les cyclones, les Etats participent activement a la production de catastrophes et d’urgences climatiques, principalement par le biais de processus infrastructurels qui affectent l’utilisation des terres et des ressources et, par consequent, les moyens de subsistance. Pour illustrer son propos, l’auteur s’appuie sur les exemples de la secheresse dans le sud-ouest de l’Angola et des cyclones dans le nord et le centre du Mozambique, ou ces phenomenes climatiques ont mis en evidence des << architectures fatales >> qui ont considerablement alourdi le bilan des victimes du changement climatique et des refugies. C’est le cas des projets extractivistes, agro-industriels et hydroelectriques, ainsi que des projets d’infrastructure plus differes (tels que les routes et les reseaux de communication) qui ont bouleverse le pouvoir d’action et la resilience traditionnels des communautes locales. Lorsqu’il s’agit de faire face a la crise climatique par une reconversion industrielle et energetique tournee vers des energies plus vertes, ces exemples de nouveaux projets d’infrastructure illustrent egalement comment certaines solutions percues comme etant a long terme peuvent malgre tout devenir des architectures fatales dans des contextes d’urgence climatique. Este texto aborda a forma como os Estados africanos respondem a crise climatica, com o argumento de que, para alem da agencia e do impacto de fenomenos climaticos tais como as secas e os ciclones, os Estados sao participantes ativos na producao de desastres e emergencias climaticas, em particular atraves de processos infraestruturais que afetam o uso da terra e dos recursos e, em ultima instancia, os modos de vida locais. Para ilustrar o argumento, invoco os casos da seca no sudoeste de Angola e dos ciclones no norte e centro de Mocambique, onde estes fenomenos climaticos expuseram “arquiteturas fatais” que aumentaram dramaticamente o numero de vitimas e refugiados do clima. e o caso de projetos extrativistas, agroindustriais e hidoreletricos, bem como de outros projetos infra-estruturais mais difusos (estradas, redes de comunicacao, etc.), que desafiaram a agencia tradicional e a resiliencia das comunidades locais. Estes casos de novos projetos infra-estruturais tambem nos recordam como certas solucoes percebidas como sendo de longo prazo no que diz respeito a enfrentar a crise climatica atraves da reconversao industrial e energetica para energias mais verdes ainda podem se tornar arquiteturas fatais em contextos de emergencia climatica.
Despite the existing knowledge about stress, trauma and pregnancy and maternal stress during natural disasters, little is known about what types of trauma pregnant or preconception women experience during these disasters. In May 2016, the worst natural disaster in modern Canadian history required the evacuation of nearly 90,000 residents of the Fort McMurray Wood Buffalo (FMWB) area of northern Alberta. Among the thousands of evacuees were an estimated 1850 women who were pregnant or soon to conceive. In August 2017, Hurricane Harvey devastated areas of the United States including Texas, with 30,000 people forced to flee their homes due to the intense flooding. OBJECTIVE: To explore immediate and past traumatic experiences of pregnant or preconception women who experienced one of two natural disasters (a wildfire and a hurricane) as captured in their expressive writing. Research questions were: (1) What trauma did pregnant or preconception women experience during the fire and the hurricane? (2) What past traumatic experiences, apart from the disasters, did the women discuss in their expressive writing? METHODS: A qualitative secondary analysis of expressive writing using thematic content analysis was conducted on the expressive writing of 50 pregnant or preconception women who experienced the 2016 Fort McMurray Wood Buffalo Wildfire (n = 25) and the 2017 Houston Hurricane Harvey (n = 25) Narrative data in the form of expressive writing entries from participants of two primary studies were thematically analyzed. One of the expressive writing questions was used in this analysis: “What is the most traumatic, upsetting experience of your entire life, especially that you have never discussed in great detail with others?” NVivo 12 supported thematic content analysis. RESULTS: For some women, the disasters elicited immense fear and anxiety that surpassed previous traumatic life events. Others, however, disclosed significant past traumas that continue to impact them, including betrayal by a loved one, abuse, maternal health complications, and illness. CONCLUSION: We recommend a strengths-based and trauma-informed care approach in both maternal health and post-disaster relief care.
Limited research has evaluated the mental health effects during compounding disasters (e.g., a hurricane occurring during a pandemic), and few studies have examined post-disaster mental health with alternative data sources like crisis text lines. This study examined changes in crisis help-seeking for individuals in Louisiana, USA, before and after Hurricane Ida (2021), a storm that co-occurred during the COVID-19 pandemic. An interrupted time series analysis and difference-in-difference analysis for single and multiple group comparisons were used to examine pre-and post-changes in crisis text volume (i.e., any crisis text, substance use, thoughts of suicide, stress/anxiety, and bereavement) among help-seeking individuals in communities that received US Federal Emergency Management Agency individual and public assistance following a presidential disaster declaration. Results showed a significant increase in crisis texts for any reason, thoughts of suicide, stress/anxiety, and bereavement in the four-week, three-month, and four-month post-impact period. Findings highlight the need for more mental health support for residents directly impacted by disasters like Hurricane Ida.
Hurricane Harvey struck southeast Texas in August 2017 resulting in widespread destruction and significant emotional distress.ObjectiveWe examined the effectiveness of a transdiagnostic psychotherapeutic intervention delivered to youth with emotional disorders in a large, community health system following this hurricane.MethodsOne hundred forty-nine youth aged 5 to 17 years with a history of hurricane exposure and emotional difficulties received an average of 6.4 (SD = 3.4) psychotherapy sessions using the Unified Protocols for Transdiagnostic Treatment of Emotional Disorders in Children and Adolescents. Youth-caregiver dyads completed measures of disaster exposure and impact at baseline as well as anxiety and depression at baseline and each therapy session. Symptom severity and level of functioning were rated by the clinician. Latent growth curve modeling was used to examine symptom change over time.ResultsChildren and adolescents began treatment with moderate levels of anxiety and depressive symptoms, symptom severity, and difficulties in daily functioning. Anxiety and depressive symptoms and symptom severity declined significantly over the treatment period. Clinician ratings of functionality evidenced significant improvement over time. Older age was correlated with more depressive symptoms at baseline and superior functioning at baseline with fewer completed treatment sessions.ConclusionIn this naturalistic, community-based effectiveness study we found significant improvement on measures of anxiety, depression, symptom severity, and daily functioning. Findings suggest that a transdiagnostic intervention may be effective for addressing a range of emotional concerns in the aftermath of a natural disaster. These results can be used to inform and refine evidence-based interventions that improve the mental health and wellbeing of disaster-exposed youth.
Those affected by catastrophic events like hurricanes are burdened with the task of preparing for and responding to the threats of harm in addition to dealing with the emotionally taxing process of consuming and sharing disaster-related information. However, little is known about how threats and emotions during natural disasters impact media usage for information seeking and sharing. This study examined the relationship between the perceived threat of disasters (including disaster severity and involvement recognition), negative emotions, and information seeking and forwarding/sharing via different types of media. We surveyed over 600 adults in U.S. counties impacted by Hurricane Florence in 2018. Our findings show that negative crisis emotions mediated the relationship between threat appraisals and information seeking and sharing behaviors. In our discussion, we suggest how disaster/emergency communication professionals can prepare and respond to disasters by knowing how emotions influence individuals’ communicative behaviors.
Climate change has led to a variety of disasters that have caused damage to infrastructure and the economy with societal impacts to human living. Understanding people’s emotions and stressors during disaster times will enable preparation strategies for mitigating further consequences. In this paper, we mine emotions and stressors encountered by people and shared on Twitter during Hurricane Harvey in 2017 as a showcase. In this work, we acquired a dataset of tweets from Twitter on Hurricane Harvey from 20 August 2017 to 30 August 2017. The dataset consists of around 400,000 tweets and is available on Kaggle. Next, a BERT-based model is employed to predict emotions associated with tweets posted by users. Then, natural language processing (NLP) techniques are utilized on negative-emotion tweets to explore the trends and prevalence of the topics discussed during the disaster event. Using Latent Dirichlet Allocation (LDA) topic modeling, we identified themes, enabling us to manually extract stressors termed as climate-change-related stressors. Results show that 20 climate-change-related stressors were extracted and that emotions peaked during the deadliest phase of the disaster. This indicates that tracking emotions may be a useful approach for studying environmentally determined well-being outcomes in light of understanding climate change impacts.
Introduction: Culex quinquefasciatus is a mosquito species of significant public health importance due to its ability to transmit multiple pathogens that can cause mosquito-borne diseases, such as West Nile fever and St. Louis encephalitis. In Harris County, Texas, Cx. quinquefasciatus is a common vector species and is subjected to insecticide-based management by the Harris County Public Health Department. However, insecticide resistance in mosquitoes has increased rapidly worldwide and raises concerns about maintaining the effectiveness of vector control approaches. This concern is highly relevant in Texas, with its humid subtropical climate along the Gulf Coast that provides suitable habitat for Cx. quinquefasciatus and other mosquito species that are known disease vectors. Therefore, there is an urgent and ongoing need to monitor the effectiveness of current vector control programs. Methods: In this study, we evaluated the impact of vector control approaches by estimating the effective population size of Cx. quinquefasciatus in Harris County. We applied Approximate Bayesian Computation to microsatellite data to estimate effective population size. We collected Cx. quinquefasciatus samples from two mosquito control operation areas; 415 and 802, during routine vector monitoring in 2016 and 2017. No county mosquito control operations were applied at area 415 in 2016 and 2017, whereas extensive adulticide spraying operations were in effect at area 802 during the summer of 2016. We collected data for eighteen microsatellite markers for 713 and 723 mosquitoes at eight timepoints from 2016 to 2017 in areas 415 and 802, respectively. We also investigated the impact of Hurricane Harvey’s landfall in the Houston area in August of 2017 on Cx. quinquefasciatus population fluctuation. Results: We found that the bottleneck scenario was the most probable historical scenario describing the impact of the winter season at area 415 and area 802, with the highest posterior probability of 0.9167 and 0.4966, respectively. We also detected an expansion event following Hurricane Harvey at area 802, showing a 3.03-fold increase in 2017. Discussion: Although we did not detect significant effects of vector control interventions, we found considerable influences of the winter season and a major hurricane on the effective population size of Cx. quinquefasciatus. The fluctuations in effective population size in both areas showed a significant seasonal pattern. Additionally, the significant population expansion following Hurricane Harvey in 2017 supports the necessity for post-hurricane vector-control interventions.
The purpose of the study was to assess the prevalence rates of anxiety, depression, and posttraumatic stress disorder (PTSD) outcomes among teachers (N = 8,167) exposed to Hurricane Maria in Puerto Rico. The findings indicate that the rates of likely significant symptoms of anxiety, depression, and PTSD were 13.1%, 8.7%, and 5.4%, respectively. There were no significant disparities in psychopathological symptoms based on sex, except that female participants were more likely to exhibit anxiety symptoms than their male counterparts, odds ratio (OR) = 1.53. Key disaster-related factors, such as perceived threat, actual threat, and disruption of life were found to significantly influence all psychopathology outcomes, ORs = 1.20-3.57, whereas increased social support significantly buffered the manifestation of clinically significant psychopathology symptoms across all domains, ORs = 0.30-0.46. These outcomes, strongly linked to peritraumatic consequences, were not constrained by geographical or socioeconomic boundaries, highlighting the wide-ranging impact of the hurricane. Nevertheless, social support emerged as a significant counteracting force, reducing the likelihood of detrimental mental health symptoms. Consistent with prior studies, this study emphasizes the crucial role of social support in nurturing posttraumatic resilience and curbing the severity of posttraumatic stress outcomes, thus underscoring the need for incorporating robust social support systems within disaster response strategies.
This study examined how community vulnerabilities contextualized the impact of exposure to five major disasters in 2017 on individuals’ disaster preparedness. We pooled two panels of the Federal Emergency Management Agency (FEMA)’s National Household Survey in 2017 (pre-disaster) and 2018 (post-disaster) and further merged the data with 15 Centers for Disease Control and Prevention Social Vulnerability Index factors to examine the moderating impact of county-level vulnerabilities. Latent class analysis was used to identify patterns of disaster preparedness based on six preparedness items defined by FEMA with a total of 10,045 individuals. Three groups were identified and named basic preparedness (BP) group, high preparedness: socially engaged (HP-SE) group, and high preparedness: advanced socially engaged (HP-ASE) group. A working sample with a smaller sample size was constructed to include 2,179 individuals from 92 counties with disaster declarations of Hurricane Harvey, Hurricane Irma, Hurricane Maria, Hurricane Nate, and California Wildfires in 2017. Multinomial logistic regression indicated that post-disaster respondents were more likely to be in the HP-SE relative to the BP group. Two-level multinomial logistic regression showed that post-disaster respondents in communities with higher percentages of single-parent households and those of no vehicles were less likely to be in the HP-SE vs. the BP group. Post-disaster respondents in communities with higher percentages of unemployment, no high school diploma, and occupied housing units with more people than rooms were less likely to be in the HP-ASE vs. the BP group. Post-disaster respondents in communities with higher percentages of older adults and mobile homes were more likely to be in the HP-SE vs. the BP group. The findings also highlighted the importance of social engagement in disaster preparedness disparities and the need for community-level intervention to promote individuals’ disaster preparedness.
Few existing studies of federal disaster aid examine the logics that govern assistance access. Applying the lens of administrative burdens, we identify four onerous aspects of the Federal Emergency Management Agency’s (FEMA) housing aid program-regulations regarding application unit, documentation, and damage sufficiency, and long processing times-that prompt assistance delay or denial for in-need households. Our empirical strategy pairs administrative records from FEMA on denied applications (N = 206,157) after Hurricanes Katrina and Rita with survey (N = 354) and in-depth interview data (N = 106) from a longitudinal study of low-income survivors of Katrina. Results show that applications from poor, communities of color were disproportionately denied or delayed due to burdensome program requirements and their implementation. Interviews and survey evidence elucidate the compliance costs and suggest a toll on post-disaster well-being.
The use of short message service (SMS) text messaging technology has grown in popularity over the last twenty years, but there is limited data on the design and feasibility of campaigns to reduce work-related injury, particularly among rural workers, non-native English speakers, and illiterate or low-literacy populations. Although there is a critical need for tech equity or ‘TechQuity’ interventions that reduce injury and enhance the wellbeing of under-reached communities, the barriers and benefits to implementation must be empirically and systematically examined. Thus, our team used D&I science to design and implement an 18-week texting campaign for under-reached workers with a higher-than-average risk of fatal and non-fatal injury. The experimental project was conducted with English-, Spanish-, and Vietnamese-speaking commercial fishermen in the Gulf of Mexico to test the design and feasibility, and messaging focused on preventing injury from slips, trips, and falls, as well as hurricane preparedness. The ubiquity of mobile devices and the previous success of texting campaigns made this a promising approach for enhancing health and preventing injury among an under-reached population. However, the perceived benefits were not without their barriers. The lessons learned included the difficulty of navigating federal regulations regarding limits for special characters, enrolling migratory participants, and navigating areas with limited cellular service or populations with limited accessibility to technology. We conclude with short- and long-term suggestions for future technology interventions for under-reached worker populations, including ethical and policy regulations.
BACKGROUND: As the climate continues to warm, hurricanes will continue to increase in both severity and frequency. Hurricane damage is associated with cardiovascular events, but social capital may moderate this relationship. Social capital is a multidimensional concept with a rich theoretical tradition. Simply put, social capital refers to the social relationships and structures that provide individuals with material, financial, and emotional resources throughout their lives. Previous research has found an association between high levels of social capital and lower rates of cardiovascular (CVD) mortality. In post-disaster settings, social capital may protect against CVD mortality by improving access to life-saving resources. We examined the association between county-level hurricane damage and CVD mortality rates after Hurricane Matthew, and the moderating effect of several aspects of social capital and hurricane damage on this relationship. We hypothesized that (1) higher (vs. lower) levels of hurricane damage would be associated with increased CVD mortality rates and (2) in highly damaged counties, higher (vs. lower) levels of social capital would be associated with lower CVD mortality. METHODS: Analysis used yearly (2013-2018) county-level sociodemographic and epidemiological data (n = 183). Sociodemographic data were compiled from federal surveys before and after Hurricane Matthew to construct, per prior literature, a social capital index based on four dimensions of social capital (sub-indices): family unity, informal civil society, institutional confidence, and collective efficacy. Epidemiological data comprised monthly CVD mortality rates constructed from monthly county-level CVD death counts from the CDC WONDER database and the US Census population estimates. Changes in CVD mortality based on level of hurricane damage were assessed using regression adjustment. We used cluster robust Poisson population average models to determine the moderating effect of social capital on CVD mortality rates in both high and low-damage counties. RESULTS: We found that mean levels of CVD mortality increased (before and after adjustment for sociodemographic controls) in both low-damage counties (unadjusted. Mean = 2.50, 95% CI [2.41, 2.59], adjusted mean = 2.50, 95% CI [2.40, 2.72]) and high-damage counties (mean = 2.44, CI [2.29, 2.46], adj. Mean = 2.51, 95% CI [2.49, 2.84]). Among the different social capital dimensions, institutional confidence was associated with reduced initial CVD mortality in low-damage counties (unadj. IRR 1.00, 95% CI [0.90, 1.11], adj. IRR 0.91 CI [0.87, 0.94]), but its association with CVD mortality trends was null. The overall effects of social capital and its sub-indices were largely nonsignificant. CONCLUSION: Hurricane damage is associated with increased CVD mortality for 18 months after Hurricane Matthew. The role of social capital remains unclear. Future research should focus on improving measurement of social capital and quality of hurricane damage and CVD mortality data.
Little is known about the combined impact of the COVID-19 pandemic and other major disasters on mental health. Hurricane Harvey hit the Gulf Coast in 2017, resulting in substantial costs, significant levels of displacement, and approximately 100 deaths, and was followed in 2020 by the COVID-19 pandemic. We randomly sampled 1167 Houstonians from 88 designated super-neighborhoods and surveyed them about their demographics, event-specific traumas and stressors, and symptoms of current depression and post-traumatic stress disorder (PTSD). We estimated the prevalence of depression (5.8%) and PTSD (12.6%) more than three years after Hurricane Harvey, and assessed the relative influence of event-specific stressors and traumas on current mental health. Overall, we observed evidence for two key findings that are salient for residents of urban environments in the context of multiple disasters. First, stressors were primary influences on depression, whereas both stressors and traumas influenced PTSD. Second, the influences of stressors and traumas on depression and PTSD symptoms faded with time.
BACKGROUND: This two-study paper developed a climate change risk perception model that considers the role of posttraumatic growth (i.e., a reappraisal of life priorities and deeper appreciation of life), resource loss, posttraumatic stress, coping, and social support. METHOD: In Study 1, participants were 332 persons in the Philippines who experienced Super Typhoon Haiyan. In Study 2, participants were 709 persons in Fiji who experienced Cyclone Winston. Climate change can increase the size and destructive potential of cyclones and typhoons as a result of warming ocean temperatures, which provides fuel for these storms. Participants completed measures assessing resource loss, posttraumatic stress, coping, social support, posttraumatic growth, and climate change risk perception. RESULTS: Structural equation modeling was used to develop a climate change risk perception model with data collected in the Philippines and to confirm the model with data collected in Fiji. The model showed that climate change risk perception was influenced by resource loss, posttraumatic stress, coping activation, and posttraumatic growth. The model developed in the Philippines was confirmed with data collected in Fiji. CONCLUSIONS: Posttraumatic growth played a central role in climate change risk perception. Public health educational efforts should focus on vividly showing how climate change threatens life priorities and that which gives life meaning and can result in loss, stress, and hardship. Disaster response organizations may also use this approach to promote preparedness for disaster threats.
Indian Sundarban is highly susceptible to tropical cyclones and resultant impacts such as storm surge-induced floods, embankment breaching, and saline water intrusion. It affects life and livelihood in severe ways. Mitigation and policy measures are therefore very important, based on information gathered at the grassroots level. Hence, this study is designed to assess inter-village variation in cyclone vulnerability, considering physical vulnerability, social vulnerability, and mitigation capacity. This study also highlights livelihood challenges faced by coastal dwellers. Geospatial and quantitative methods were used to assess the composite vulnerability index (CVI). Remote sensing data and climatic data were integrated to assess physical vulnerability and various socioeconomic data were incorporated to determine the social vulnerability. Moreover, an intensive field survey (2020-2021) was also conducted to understand the livelihood challenges of local people and accordingly suggest mitigation measures to cope with natural hazards. According to this analysis, nearly 18% of the total population living in the southern and eastern parts of the Matla-Bidya inter-estuarine area (MBI) are extremely vulnerable (CVI > 0.544) due to their geographical location and high exposure to coastal hazards. Almost 51% of the total populations inhabited in 46% of the total MBI villages are experiencing high to moderate vulnerability. Conversely, MBI villages in the northern part, where 32% of the total population lives, show low vulnerability (CVI < 0.387) due to less exposure and high resilience. Coastal low-lying villages are often hardest hit by tropical cyclones. Therefore, effective mitigation strategies and coping mechanisms are essentially needed to reduce the adverse impacts of cyclones.
Young people today are predicted to experience more climate change related stressors and harms than the previous generation, yet they are often excluded from climate research, policy, and advocacy. Increasingly, this exposure is associated with experience of common mental health disorders (CMD). The VoCes-19 study collected surveys from 168,407 young people across Mexico (ages 15-24 years) through an innovative online platform, collecting information on various characteristics including CMD and experience of recent climate harms. Logistic regression models were fit to explore characteristics associated with CMD. Structural equation models were fit to explore pathways between exposure, feeling of concern about climate change, and a sense of agency (meaning the respondent felt they could help address the climate crisis) and how these relate to CMD. Of the respondents, 42% (n = 50,682) were categorized as experiencing CMD, higher among those who experienced a climate stressor (51%, n = 4,808) vs those not experiencing climate stressors (41%, n = 43,872). Adjusting for key demographic characteristics, exposure to any climate event increased the odds of CMD by 50% (Odd Ratio = 1.57; 95% Confidence Interval (CI) 1.49, 1.64), highest for heatwaves. Specific climate impacts such as housing damage, loss of or inability to work, damage to family business, leaving school and physical health affected were adversely related to CMD, though for different climate hazards. More concern and less agency were related to CMD through different pathways, particularly for those exposed to recent events. Future research regarding the cumulative exposures to climate change, not just acute events but as an ongoing crisis, and various pathways that influence the mental health and well-being of young people must be clearly understood to develop programs and policies to protect the next generation.
Access to care for patients with ESKD is frequently disrupted after natural disasters, public health crises, and human conflict. Emergency preparation can mitigate the risk of harm and improve outcomes. Before Hurricane Katrina in 2005, the United States was unprepared to assist patients facing disaster. We evaluate responses to Hurricane Katrina which caused unprecedented damage to health and property in the Gulf Coast. As a result of the multitude of identified problems with the national, local, and kidney-specific responses to Katrina, new systems were created that mitigated loss after Hurricane Sandy in 2012. The improved disaster response system was no match for the coronavirus disease 2019 pandemic; real-time changes worsened the effect on highly vulnerable populations, including patients with ESKD. Similarly, preparation can only mitigate the difficulties faced by patients with ESKD living in a war zone. Government agencies need to provide tools and dialysis centers need to educate patients. Beginning with steps implemented in the aftermath of Hurricane Katrina and augmented after Hurricane Sandy, every patient with ESKD and those who care for them must begin emergency preparations before the need arises. Recognizing that it is not possible to prepare for every possible emergency, our health care systems must be ready to adapt to our ever-changing world. After reviewing the responses to previous events, we suggest steps that should be considered to improve preparations for our uncertain future.
Emotion-place-disaster research tends to focus more on people and communities than on places and their specificities. Our study aims to explore disparities in people’s place-based emotional experiences in the recovery period in a region of the Philippines affected by Typhoon Haiyan. We used an original data collection game in which respondents were asked to associate pictures of places with emoticons and to explain these associations. A fully integrated mixed data analysis was then used to characterize non-Typhoon and Typhoon-related place-based emotional experiences. The large panel of descriptive results reveals predominantly positive emotional experiences that intertwine tangible and intangible facets of the person-place relationship. A variety of emotions and their meanings, individual and group concerns, and experiences before, during and after the disaster combine to produce contrasting place-based emotional experiences. In particular, the heterogeneity of the material impacts of the Typhoon on places and their implications for disaster recovery are described and discussed. We argue that further developments in the field should take into account the diversity of place-based emotional experiences highlighted in this research, which can improve disaster preparedness and response strategies and play an important role in disaster recovery.
OBJECTIVES: To assess community preparedness and ongoing recovery efforts in the rural counties most severely impacted by Hurricane Michael, including structural and economic losses, injury and illness, healthcare access, and suicide risk and ideation. DESIGN: The Florida Department of Health conducted a Community Assessment for Public Health Emergency Response (CASPER) in January 2020, 15 months after Hurricane Michael made landfall in October 2018. SETTING: A total of 30 clusters were randomly selected from three rural counties in the Panhandle of Florida, including Jackson (15 clusters), Gadsden (11), and Calhoun (four) counties. PARTICIPANTS: A total of 185 face-to-face and two phone interviews were conducted with residents 18 years of age or older. MAIN OUTCOME MEASURE: Hurricane preparedness, structural and economic losses, access to care, and physical and mental health. RESULTS: Around 43 percent of respondents evacuated as a result of Hurricane Michael, and at least two-thirds of all respondents reported having an emergency supply kit and enough nonperishable food, water, and medication. Structural damage was extensive with 63 percent reporting home damage, averaging over $32,000. Few injuries or illnesses were reported post-landfall (9 percent), with the most common being minor injuries and bacterial infections. Most respondents reported continued access to healthcare if needed. The most common stress-related issues reported were difficulty sleeping (19 percent) and agitated behaviors (10 percent). Seven percent of respondents reported being at moderate to high risk for suicide. CONCLUSIONS: Rural areas may lack resources, such as healthcare facilities, skilled workers, and supplies, that hinder their ability to recover from storms when compared to more urban counties. Many residents reported that 15 months after the storm, their homes were still not fully repaired. A majority of residents were prepared with adequate supplies, had minimal disruption in employment or healthcare access, and had few illnesses or injuries during the storm or the recovery efforts.
OBJECTIVE: This study explored community supervision officers’ perceptions of the individual, community, and organizational challenges confronted by program participants after Hurricane María and their recommendations for future emergency management. METHODS: A qualitative content analysis was conducted for nine focus group with community supervision officers in Puerto Rico. Participants were asked about their perceptions of how the mental health and drug abuse of persons on parole or probation were affected and the measures taken to address these concerns in disaster response. RESULTS: Narratives expose vulnerabilities experienced by those supervised and the aggregated challenges that impact retention in health and rehabilitative services, all of which can detract from successful sentence completion. The disaster response categories call for a more adaptable approach to overseeing procedures in light of the difficulties involved and recognizing the support of the supervised population who have contributed to community initiatives. CONCLUSION: Findings will contribute to informing planning, preparedness, and responses that mitigate the adverse consequences this vulnerable population may experience when exposed to future disaster hazards. Addressing emergency preparedness in this setting provides an opportunity to enact reforms in community supervision and improve access to services needed to enable the successful reintegration of individuals into their communities.
Objective: Examination of community resilience after Hurricane Harvey and -applicability of Neuman’s systems model to the role of public health nurses in applying primary, secondary, and tertiary prevention strategies to communities susceptible to natural disasters. Design: Descriptive, exploratory study. Sample: A convenience sample (N = 1,470). Measurements: Hurricane Harvey Survey. Results: Respondents from seven counties in southeast Texas report previously experiencing a hurricane (80%) with no weather-related flooding (79%), adequate preparation (54%), failure to comprehend the potential severity of Hurricane Harvey (62%), damage to their homes (45%), and a 68% loss of personal belongings. Anxiety, frustration, disbelief, determination, and hopefulness were rated highest after the storm. Residents received updates from family and friends, social media, and online news reports regarding rising water, even though, in many cases, a mandatory evacuation was not officially announced. Only 35% of respondents reported being aware of resources available, possibly due to flooding or inaccessibility of typical resources (e.g., hospitals, shelters). Communicating through social networks (social media, family, and friends) provided avenues for arranging evacuations and assistance. Respondents report giving assistance to others and receiving assistance from family, friends, and their faith community. The majority of respondents reported that the community provided adequate services during the hurricane (59%), and they plan to stay in southeast Texas (70%). Conclusions: Southeast Texas residents demonstrated individual and community resilience which may be further supported with primary, secondary, and tertiary nursing interventions as illustrated by Neuman’s systems model. The rise in positive emotional response traits demonstrates positive coping, which is consistent with resilience. Effective and timely communication through social networks provides an additional line of resistance to protect and promote the resilience of the community. The lack of medical resources indicates a break in the normal line of defense and an area for potential improvement with the utilization of mobile medical units to provide healthcare for areas not easily accessible during a disaster. Public health nurses are strategically positioned in the international community to lead prevention and recovery efforts by applying theory-based community interventions.
Climate change is contributing to increasingly hazardous tropical cyclones that endanger persons living in susceptible coastal and island communities. People living with chronic illness, including multiple sclerosis (MS), face unique challenges and vulnerabilities when exposed to hurricane hazards. Disaster and emergency preparedness requires a customized approach that considers the necessary adaptations to accommodate the mobility, self-care, sensory, cognitive, and communication impairments of persons living with MS. Related considerations include the potential for worsening neurologic signs and symptoms during and after a catastrophic storm. The impact of emotional and financial stresses, as well as disruptions in health care delivery, on this population are also key concerns. This paper addresses the challenges faced by individuals with MS in advance of, during, and in the aftermath of extreme storms. We propose new guidelines on how health care professionals can assist persons with MS when creating tailored disaster readiness and response plans.
Based on a desk review and three rounds of the Delphi method, this study examines the impacts of climate change-induced water-related threats on food security in the Indian Sundarbans, and develops management strategies to address the issues. Results show climate change, through its impacts on water, has lowered agricultural output, endangered traditional livelihoods, reduced access to food, and affected food utilization by impacting freshwater availability and creating health hazards. In addition, intensified weather extremes are likely to threaten food security further. A combination of local-level adaptation measures and global-level mitigation initiatives is necessary to ensure food security in this region.
OBJECTIVE: Climate-change has brought about more frequent extreme-weather events (e.g., hurricanes, floods, and wildfires) that may require families to evacuate, without knowing precisely where and when the potential disaster will strike. Recent research indicates that evacuation is stressful for families and is associated with psychological distress. Yet, little is known about the potential impact of evacuation stressors on child health. After Hurricane Irma, which led to a mass evacuation in Florida, we examined whether evacuation stressors and hurricane exposure were uniquely associated with youth somatic complaints, and whether youth psychological distress (i.e., symptoms of posttraumatic stress, anxiety, and depression) served as a potential mediating pathway between evacuation stressors, hurricane experiences, and somatic complaints. METHOD: Three months after Irma, 226 mothers of youth aged 7-17 years (N=226; M age = 9.76 years; 52% boys; 31% Hispanic) living in the five southernmost Florida counties reported on evacuation stressors, hurricane-related life threat and loss/disruption, and their child’s psychological distress and somatic complaints using standardized measures. RESULTS: Structural equation modeling revealed a good model fit (χ(2) = 32.24, p = 0.003, CFI = 0.96, RMSEA = 0.08, SRMR = 0.04). Even controlling for life-threatening hurricane experiences (β = 0.26) and hurricane loss and disruption (β = 0.26), greater evacuation stressors were associated with greater symptoms of youth psychological distress (β = 0.34; p’s < 0.001), and greater psychological distress was associated with more somatic complaints (β = 0.67; p < 0.001). Indirect effects revealed that evacuation stressors (p < 0.001), actual life-threatening events (p < 0.01), and loss and disruption (p < 0.01) were all uniquely and indirectly associated with youths' somatic complaints via youth psychological distress. DISCUSSION: Findings suggest that even coping with the threat of a disaster may be sufficient to prompt psychological and physical health symptoms in youth. Due in part to climate change, threats of disaster occur much more often than actual disaster exposure, especially for areas that are prone to hurricanes or wildfires. Preparing youth and families residing in vulnerable areas for potential disaster evacuation or sheltering-in-place appears critical. Encouraging families to develop Disaster Plans and teaching stress management skills may reduce both youth distress and somatic health problems.
Pacific youth are at the forefront of the climate crisis, which has important implications for their health and rights. Youth in Fiji currently bear a disproportionate burden of poor experiences and outcomes related to their sexual and reproductive health and rights (SRHR). There is limited information about how the increasing climate impacts may affect their SRHR, and what the implications may be for climate action and disaster risk reduction. We aimed to explore the experiences of 21 Fijian youth in fulfilling their SRHR when living through multiple natural hazards. We conducted 2 workshops and 18 individual semistructured interviews using visual and storytelling methods. Irrespective of the type of hazard or context of disasters, participants identified limited agency as the main challenge that increased SRHR risks. Through reflexive thematic analysis, we identified four themes centred around ‘youth SRHR agency’; (1) information and knowledge, (2) community and belonging, (3) needs and resources, and (4) collective risks. These themes encompassed multiple factors that limited youth agency and increased their SRHR risks. Participants highlighted how existing challenges to their SRHR, such as access to SRHR information being controlled by community gatekeepers, and discrimination of sexual and gender diverse youth, were exacerbated in disasters. In disaster contexts, immediate priorities such as water, food and financial insecurity increased risks of transactional early marriage and transactional sex to access these resources. Daily SRHR risks related to normalisation of sexual and gender-based violence and taboos limited youth agency and influenced their perceptions of disasters and SRHR risks. Findings offer important insights into factors that limited youth SRHR agency before, during and after disasters. We underscore the urgency for addressing existing social and health inequities in climate and disaster governance. We highlight four key implications for reducing youth SRHR risks through whole-of-society approaches at multiple (sociocultural, institutional, governance) levels.
Leptospirosis is a zoonotic disease that primarily affects people in tropical and subtropical areas worldwide. Owing to the temperate climate of Japan, leptospirosis is not endemic across the country. Domestic cases of leptospirosis have been mainly reported in Okinawa and the southwestern subtropical islands, but not in the other regions. Here, we describe a case of leptospirosis that developed and was diagnosed outside the domestically endemic region. Notably, disease onset occurred shortly after the patient experienced a flood after a typhoon disaster. With global warming, the international prevalence of leptospirosis may change. Physicians outside currently endemic areas must be aware of this tropical disease.
Puerto Rico (PR) has faced environmental and public health challenges that could have significantly affected cancer screening access. Using administrative claims data from PR’s Medicaid population, this study assessed trends in colorectal and breast cancer screening from 2016 to 2021, the impact of disasters in screening, and the absolute deficit in screening due to the pandemic. The monthly rates of claims were analyzed using Poisson regression. Significant reductions in breast and colorectal cancer screening utilization were observed. The colorectal cancer screening rate in 2017 was 77% lower a month after Hurricanes Irma and María [RR(adj): 0.23; 95% CI: 0.20, 0.25] compared to the same time period in 2016. Breast cancer screening dropped 50% in November 2017 compared to November 2016 [RR(adj): 0.50; 95% CI: 0.47, 0.54]. Prospectively, a recovery in utilization has been observed only for breast cancer screening. The results revealed that cancer screening utilization substantially declined after environmental disasters and the pandemic. These findings have potentially severe long-term implications for cancer health disparities and mortality in PR.
In this work, an agent-based model (ABM) of population evacuation during Hurricane Harvey is developed. The ABM integrates data from several sources, including data about physical conditions, population demographics, and geography. This simulation is then used to compute multiple measures of exposures to hazards for the population. Outputs from the ABM are then evaluated by adding computed measures to a statistical model associating flood exposure to emergency department visits. Finally, the flooding exposure duration measure is used to augment the CDC/ATSDR Social Vulnerability Index.
IMPORTANCE: Whether US nursing homes are well prepared for exposure to hurricane-related inundation is uncertain. OBJECTIVES: To estimate the prevalence of nursing homes exposed to hurricane-related inundation and evaluate whether exposed facilities are more likely to meet Centers for Medicare & Medicaid Services (CMS) emergency preparedness standards. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study included CMS-certified nursing homes in Coastal Atlantic and Gulf Coast states from January 1, 2017, to December 31, 2019. The prevalence of facilities exposed to at least 2 feet of hurricane-related inundation used models from the National Hurricane Center across coastal areas overseen by 5 CMS regional offices: New England, New York metropolitan area, Mid-Atlantic region, Southeast and Eastern Gulf Coast, and Western Gulf Coast. Critical emergency preparedness deficiencies cited during CMS life safety code inspections were identified. MAIN OUTCOMES AND MEASURES: The analysis used generalized estimating equations with binomial and negative binomial distributions to evaluate associations between exposure status and the presence and number of critical emergency preparedness deficiencies. Regionally stratified associations (odds ratios [ORs]) and rate ratios [RRs]) with 95% CIs, adjusted for state-level fixed effects and nursing home characteristics, were reported. RESULTS: Of 5914 nursing homes, 617 (10.4%) were at risk of inundation exposure, and 1763 (29.8%) had a critical emergency preparedness deficiency. Exposed facilities were less likely to be rural, were larger, and had similar CMS health inspection, quality, and staffing ratings compared with unexposed facilities. Exposure was positively associated with the presence and number of emergency preparedness deficiencies for the nursing homes within the Mid-Atlantic region (adjusted OR, 1.91 [95% CI, 1.15-3.20]; adjusted RR, 2.51 [95% CI, 1.41-4.47]). Conversely, exposure was negatively associated with the number of emergency preparedness deficiencies among facilities within the Western Gulf Coast (aRR, 0.55 [95% CI, 0.36-0.86]). The associations for the number of emergency preparedness deficiencies remained after correction for multiple comparisons. CONCLUSIONS AND RELEVANCE: The findings of this cross-sectional study suggest that the association between exposure to hurricane-related inundation and nursing home emergency preparedness differs considerably across the Coastal Atlantic and Gulf regulatory regions. These findings further suggest that there may be opportunities to reduce regional heterogeneity and improve the alignment of nursing home emergency preparedness with surrounding environmental risks.
BACKGROUND/OBJECTIVES: Trait mindfulness (TM) may protect against post-trauma mental health ailments and related impairment. Few studies have evaluated this association in the context of collective traumas using representative samples or longitudinal designs. DESIGN/METHOD: We explored relationships between TM and collective trauma-related outcomes in a prospective, representative, probability-based sample of 1846 U.S. Gulf Coast residents repeatedly exposed to catastrophic hurricanes, assessed twice during the COVID-19 outbreak (Wave 1: 5/14/20-5/27/20; Wave 2: 12/21/21-1/11/22). Generalized estimating equations examined longitudinal relationships between TM, COVID-19-related fear/worry, hurricane-related fear/worry, global distress, and functional impairment; ordinary least squares regression analyses examined the cross-sectional association between TM and COVID-19-related posttraumatic stress symptoms (PTSS) at Wave 1. Event-related stressor exposure was explored as a moderator. RESULTS: In covariate-adjusted models including pre-event mental health ailments and demographics, TM was negatively associated with COVID-19-related fear/worry, hurricane-related fear/worry, global distress, and functional impairment over time; in cross-sectional analyses, TM was negatively associated with COVID-19-related PTSS. TM moderated the relationship between COVID-19 secondary stressor exposure (e.g., lost job/wages) and both global distress and functional impairment over time. CONCLUSIONS: Results suggest TM may buffer adverse psychosocial outcomes following collective trauma, with some evidence TM may protect against negative effects of secondary stressor exposure.
The severity of hurricanes, and thus the associated impacts, is changing over time. One of the understudied threats from damage caused by hurricanes is the potential for cross-contamination of water bodies with pathogens in coastal agricultural regions. Using microbiological data collected after hurricanes Florence and Michael, this study shows a dichotomy in the presence of pathogens in coastal North Carolina and Florida. Salmonella typhimurium was abundant in water samples collected in the regions dominated by swine farms. A drastic decrease in Enterococcus spp. in Carolinas is indicative of pathogen removal with flooding waters. Except for the abundance presence of Salmonella typhimurium, no significant changes in pathogens were observed after Hurricane Michael in the Florida panhandle. We argue that a comprehensive assessment of pathogens must be included in decision-making activities in the immediate aftermath of hurricanes to build resilience against risks of pathogenic exposure in rural agricultural and human populations in vulnerable locations.
Coastal regions in Southwest Europe have experienced major interventions and transformations of the territory with unprecedented urban development, primarily related to growing tourism activity. The coast is the place where marine and terrestrial processes converge, making it highly vulnerable to the effects of climate change. However, the lack of information on the frequency of these extreme weather events and their impacts on the coast hampers an accurate analysis of the consequences of global change. This paper provides a detailed analysis of the extreme weather events (EWE) that have affected the Atlantic and Mediterranean coasts of Southwest Europe during the period from 1 January 2009 to 28 February 2020, as well as a quantification of their impacts: fatalities, injuries and economic damage. Official sources from France, Portugal and Spain were consulted, along with technical reports, scientific articles, etc., to generate a unified database. A total of 95 significant extreme events have caused 168 fatalities, 137 injuries and almost euro4000 M in direct economic losses. Cyclone Xynthia (February 2010) on the French Atlantic coast stands out, having caused 47 fatalities, 79 injuries and substantial economic losses valued at euro3000 M. The study shows a slight upward trend in the number of events recorded, especially during the last three years of the analysis, as well as in human losses and damages. The results reveal a higher exposure of the Mediterranean coast of Southwest Europe when compared to the Atlantic, especially the Spanish Mediterranean coast, with 61% of the fatalities recorded there during the study period. This is primarily due to a model of exponential tourism growth on the Mediterranean coast, with an enormous urban and infrastructure development during the last decades. Traditionally, the Mediterranean coast is less prepared to reduce the effects of marine storms, extreme events that are becoming more frequent and virulent in the context of climate and global change. This work highlights the need to create a continuous monitoring system-at the European level-of the impacts of extreme weather events on the coast, where 40% of the European population is concentrated. This observatory should serve as a source of information for risk mitigation policies (predictive, preventive and corrective), as well as for emergency management during disasters.
The health of older populations in the Southeastern U.S. receives threats from recurrent tropical cyclones and extreme heat, which may exacerbate the mortality caused by heart diseases and strokes. Such threats can escalate when these extremes form compound disasters, which may be more frequent under climate change. However, a paucity of empirical evidence exists concerning the health threats of compound disasters, and anticipations regarding the health risks of older populations under future compound disaster scenarios are lacking. Focusing on Florida, which has 67 counties and the second-largest proportion of older populations among U.S. states, we calibrate Poisson regression models to explore older populations’ mortality caused by heart diseases and strokes under single and compound disasters. The models are utilized to estimate the mortality across future disaster scenarios, the changing climate, and the growing population. We identify that under multiple hurricanes or heat, current-month hurricanes or heat can affect mortality more heavily than previous-month hurricanes or heat. Under future scenarios, co-occurring hurricanes and extreme heat can exacerbate the mortality more severely than other disaster scenarios. The same types of compound disasters can coincide with an average of 20.5% higher mortality under RCP8.5-SSP5 than under RCP4.5-SSP2. We assess older populations’ future health risks, alerting health agencies to enhance preparedness for future “worst-case” scenarios of compound disasters and proactively adapt to climate change.
OBJECTIVES: The objective of this study was to assess recovery of Aransas County, Texas households 2 years after Category 4 Hurricane Harvey made landfall. METHODS: A 2-stage cluster sampling method used to conduct a Community Assessment for Public Health Emergency Response (CASPER) on May 3 – 4 and May 18 – 19, 2019. A household-based survey was administered through face-to-face interviews, selected through systematic random sampling using weighted analysis of the county population. Field teams collected 175 surveys (83.3% completion rate). RESULTS: Approximately 57% households experienced repairable damage, 23% had destroyed homes, and 19% had minimal damage. 38% stated having ‘no need,’ 18% needed financial assistance, 16% needed household repairs, and over 8% had behavioral health needs. 17% experiencing a behavioral health concern were seeking services. Of the 35% of households who did not seek services, 14% felt there was no need, and 4% were not aware of the resources available. CONCLUSIONS: Households reported high levels of preparedness, but gaps remain in evacuation intention and behavioral health care access. CASPERs are effective in assessing long-term recovery of communities impacted by major disasters.
To explore the health impacts of Hurricane Maria (HM) on HIV care outcomes among people living with HIV who use drugs. METHODS: Using data from an ongoing cohort study in San Juan, Puerto Rico (Proyecto PACTo), we measured differences in HIV care outcomes (viral load, viral suppression, and CD4 counts) before and after HM using assessments conducted at 6-month intervals. Generalized estimating equations were used to assess factors associated with HIV care outcomes. RESULTS: All HIV care outcomes showed a deterioration from pre-HM values to post-HM values (mean viral load increased, CD4 counts decreased, and rate of viral suppression decreased) after controlling for pre-HM sociodemographic and health characteristics. In addition to HM, age (aIRR = 1·01), being homeless (aIRR = 0·78) and having health insurance (aIRR = 1·6) were independently associated with viral suppression. PARTICIPANTS: 219 participants completed follow-up visits between April 2017 and January 2018, before and after HM. CONCLUSIONS: People living with HIV who use drugs in Puerto Rico experienced poorer HIV outcomes following HM. Socio-environmental factors contributing to these outcomes is discussed in the context of disaster response, recovery, and program planning.
Remotely sensed inundation may help to rapidly identify areas in need of aid during and following floods. Here we evaluate the utility of daily remotely sensed flood inundation measures and estimate their congruence with self-reported home flooding and health outcomes collected via the Texas Flood Registry (TFR) following Hurricane Harvey. Daily flood inundation for 14 days following the landfall of Hurricane Harvey was acquired from FloodScan. Flood exposure, including number of days flooded and flood depth was assigned to geocoded home addresses of TFR respondents (N = 18,920 from 47 counties). Discordance between remotely-sensed flooding and self-reported home flooding was measured. Modified Poisson regression models were implemented to estimate risk ratios (RRs) for adverse health outcomes following flood exposure, controlling for potential individual level confounders. Respondents whose home was in a flooded area based on remotely-sensed data were more likely to report injury (RR = 1.5, 95% CI: 1.27-1.77), concentration problems (1.36, 95% CI: 1.25-1.49), skin rash (1.31, 95% CI: 1.15-1.48), illness (1.29, 95% CI: 1.17-1.43), headaches (1.09, 95% CI: 1.03-1.16), and runny nose (1.07, 95% CI: 1.03-1.11) compared to respondents whose home was not flooded. Effect sizes were larger when exposure was estimated using respondent-reported home flooding. Near-real time remote sensing-based flood products may help to prioritize areas in need of assistance when on the ground measures are not accessible.
BACKGROUND AND OBJECTIVES: Climate change threatens well-being and has increased the prevalence of weather-related disasters. We investigated age differences in emotional well-being among adults who had experienced hurricane-related, unavoidable stressors. Socioemotional selectivity theory (SST, Carstensen, 2006) posits that age-related motivational shifts buffer older adults against psychological distress, whereas the strength and vulnerability integration model (SAVI, Charles, 2010) posits that unavoidable stressors are more detrimental to older adults’ well-being compared to younger adults. RESEARCH DESIGN AND METHODS: We used existing self-report data from a life-span sample of adults (N=618, M age= 58.44 years, SD=16.03, 18-96 years) who resided in the US Gulf Coast region. The sample was recruited in 2016 to examine sequelae of the Deepwater Horizon oil spill and contacted again after the 2017 and 2018 hurricane seasons. In 2016, participants reported their depression, anxiety, and trauma history. After the 2017-2018 hurricane seasons, participants reported their depression, post-traumatic stress, exposure to hurricane-related adversities, injuries, and casualties, self-efficacy, and perceived health. RESULTS: In line with SST, older age was associated with reporting significantly fewer depression and PTSD symptoms, even after controlling for exposure to hurricane-related adversities, injuries and casualties, health, self-efficacy, and pre-hurricane depression, anxiety, and trauma. The association between older age and fewer depression symptoms was stronger among those who experienced hurricane-related adversities compared to those who had not, in contrast to predictions based on SAVI. DISCUSSION AND IMPLICATIONS: We discuss the implications of age-related strengths in emotional well-being for policy and practice in the context of the ongoing climate crisis.
OBJECTIVE: The coronavirus disease 2019 (COVID-19) pandemic as well as other recent natural emergencies have put the spotlight on emergency planning. One important aspect is that natural disasters or emergencies often lead to indirect deaths, and studying the behavior of indirect deaths during emergencies can guide emergency planning. While many studies have suggested many indirect deaths in Puerto Rico due to Hurricane Maria; the specific causes of these deaths have not been carefully studied. METHODS: In this study, we use a semiparametric model and mortality data to evaluate cause of death trends. Our model adjusts for cause of death effect potentially varying over time while also inferring on how long excess deaths occurred. RESULTS: From September 2017 to March 2018, after adjusting for intra-annual variability and population displacement, we find evidence of significant excess deaths due to Alzheimer’s/Parkinson, heart disease, sepsis, diabetes, renal failure, and pneumonia and influenza. CONCLUSIONS: In contrast, for the same time period we find no evidence of significant excess deaths due to cancer, hypertension, respiratory diseases, cerebrovascular disease, suicide, homicide, falling accidents, and traffic accidents.
This study examined and compared the factor structure of DSM-5 and ICD-11 PTSD models and their relationships with transdiagnostic symptoms (i.e., anxiety, depression, negative affect, and somatic symptoms) in eight trauma samples: (1) natural disaster relocatees; (2) Typhoon Haiyan survivors; (3) indigenous people exposed to armed conflict; (4) internally displaced persons due to armed conflict; (5) soldiers regularly involved in armed conflict; (6) police exposed to work-related traumatic events; (7) abused women; and (8) college students with diverse trauma experiences. Results showed that while the ICD-11 PTSD has better model fit than that of DSM-5, the DSM-5 PTSD model has stronger relationships with all transdiagnostic symptoms in almost all of the samples. The study highlights that in choosing which PTSD nomenclature to use, both the factor structure and comorbidity with other symptoms must be considered.
BACKGROUND: Tropical cyclones are a recurrent, lethal hazard. Climate change, demographic, and development trends contribute to increasing hazards and vulnerability. This mapping review of articles on tropical cyclone mortality assesses geographic publication patterns, research gaps, and priorities for investigation to inform evidence-based risk reduction. METHODS: A mapping review of published scientific articles on tropical cyclone-related mortality indexed in PubMed and EMBASE (English) and SINOMED and CNKI (Chinese), focusing on research approach, location, and storm information, was conducted. Results were compared with data on historical tropical cyclone disasters. FINDINGS: A total of 150 articles were included, 116 in English and 34 in Chinese. Nine cyclones accounted for 61% of specific event analyses. The United States (US) reported 0.76% of fatalities but was studied in 51% of articles, 96% in English and four percent in Chinese. Asian nations reported 90.4% of fatalities but were studied in 39% of articles, 50% in English and 50% in Chinese. Within the US, New York, New Jersey, and Pennsylvania experienced 4.59% of US tropical cyclones but were studied in 24% of US articles. Of the 12 articles where data were collected beyond six months from impact, 11 focused on storms in the US. Climate change was mentioned in eight percent of article abstracts. INTERPRETATION: Regions that have historically experienced high mortality from tropical cyclones have not been studied as extensively as some regions with lower mortality impacts. Long-term mortality and the implications of climate change have not been extensively studied nor discussed in most settings. Research in highly impacted settings should be prioritized.
Little is known about how the psychological stress of having experienced a natural disaster affects cancer patients. We experienced a patient who was treated with breast cancer after having been stricken by a typhoon, which resulted in significant psychological damage. Treatment strategies should incorporate patients’ mental health appropriately after disasters.
Emergency educational programing after disasters contributes to the physical, cognitive, and psychological protection of students when they are at their most vulnerable. The Inter-Agency Network for Education in Emergencies Minimum Standards for Education in Emergencies framework details the need to incorporate specific domains throughout implementation and asserts that teachers and educational institutions play a significant role in supporting disaster-affected youth in the classroom. Following the detrimental impact of Hurricane Maria on Puerto Rico, teachers became critical agents for maintaining the well-being of children at school, so the goals of this analysis are to (1) examine teachers’ post-hurricane experiences to find out how the event impacted physical teaching environments and students’ learning capacity, (2) investigate how teachers adapted and developed lesson plans to facilitate students’ processing of the event, and (3) explore what resources, training, and emotional support teachers needed to continue their work in the classroom post-disaster. Findings reveal how teachers assumed the role of first responders to restore their physical learning spaces, improvised classroom activities, and discussions to aid in students’ cognitive and emotional recovery, and found ways to navigate and address the psychological needs of learners following this traumatic event. This research will contribute to an increased understanding of how teachers can be utilized to enhance students’ recovery through the successful implementation of emergency educational programing.
Social isolation is a well-established determinant of late-life well-being, and it may be particularly relevant for older adults in Puerto Rico following Hurricane María. The abbreviated Lubben Social Network Scale (LSNS-6) is a widely used measure of social isolation, but it has not been validated with Spanish-speaking older adults. The objectives of this study were to (1) assess the psychometric properties of a Spanish-language LSNS-6 and (2) examine its association with self-rated health (SRH) and psychological sense of community (PSOC). Data came from face-to-face survey interviews with a nonprobability sample of 154 community-dwelling older adults in Puerto Rico 2 years after Hurricane María. We assessed the LSNS-6’s internal consistency reliability and convergent validity. We then conducted structural equational modelling consisting of (1) a measurement model using confirmatory factor analysis to test the factor structure of the LSNS-6 and (2) a structural model using path analysis to examine the direct effect of social isolation on SRH and to test the role of PSOC as a mediator in this relationship. The LSNS-6 demonstrated acceptable internal consistency reliability (α = 0.74) and convergent validity, r(151) = -0.33, p < 0.001. A correlated two-factor model (Family and Friends) provided the best fit (comparative fit index = 0.986, Tucker-Lewis index = 0.975, root mean square error of approximation = 0.082, standardised root mean squared residual = 0.033). Path model results show the Friends factor was negatively associated with SRH (β = -0.31, p = 0.045), whilst the Family factor was nonsignificant. The Friends factor had a statistically significant indirect effect on SRH through PSOC (β = 0.08, 95% CI [0.01, 0.29]). Our findings provide insight into the effect of social isolation on health amongst older adults in Puerto Rico and highlight the potential role of PSOC for assessment and intervention with older adults in post-disaster settings.
Storms continue to be the deadliest type of weather-related disasters globally. The Philippines is one of the most at risk countries to disasters, yet there continues to be gaps in understanding where and why people are killed in typhoons – the country’s most prominent natural hazard. This research sought to understand how typhoon mortality varies across the Philippines at the municipal level, focusing on differences in rural and urban municipalities between 2005 and 2015. Generalised linear regression models (GLMs), including Poisson and negative binomial (NB), were used to analyse the relationship between typhoon mortality and level of urbanisation while controlling for social vulnerability and typhoon exposure. Findings indicate that typhoon mortality is disproportionality concentrated in emerging, rather than established, urban centres. Deaths from typhoons were significantly higher per capita in older age groups and amongst men, with drowning accounting for 71% of deaths, although there is uncertainty in these later trends which show the need for investment in national disaster databases. Our results make contributions to understanding of urban-rural patterns of disaster risk and the determinants of typhoon mortality in the Philippines.
Hurricanes can have a significant impact on the functioning and capacity of healthcare systems. However, little work has been done to understand the extent to which hurricanes influence local residents’ spatial access to healthcare. Our study evaluates the change in spatial access to primary care physicians (PCPs) between 2016 and 2018 (i.e., before and after Hurricane Harvey) in Harris County, Texas. We used an enhanced 2-step floating catchment area (E2SFCA) method to measure spatial access to PCPs at the census tract level. The results show that, despite an increased supply of PCPs across the county, most census tracts, especially those in the northern and eastern fringe areas, experienced decreased access during this period as measured by the spatial access ratio (SPAR). We explain this decline in SPAR by the shift in the spatial distribution of PCPs to the central areas of Harris County from the fringe areas after Harvey. We also examined the socio-demographic impact in the SPAR change and found little variation in change among different socio-demographic groups. Therefore, public health professionals and disaster managers may use our spatial access measure to highlight the geographic disparities in healthcare systems. In addition, we recommend considering other social and institutional dimensions of access, such as users’ needs, preferences, resource capacity, mobility options, and quality of healthcare services, in building a resilient and inclusive post-hurricane healthcare system.
INTRODUCTION: Hurricanes often result in power outages, which increase generator usage and carbon monoxide (CO) deaths. We aim to identify states with the highest frequency of hurricanes and evaluate the number of unintentional CO poisoning deaths by region, age, race and metropolitan distribution. METHODS: The number of hurricanes was determined using the FEMA database, and the number of unintentional CO poisoning deaths was determined using the CDC WONDER database from 2014-19. Hurricane-associated consumer outages were obtained from the Department of Energy. RESULTS: The number of unintentional CO poisoning deaths was as follows: Florida, South Carolina, North Carolina, Georgia and Alabama. Adults displayed a significantly higher number of unintentional CO poisoning deaths than pediatrics (P < 0.001). The total number of unintentional CO poisoning deaths was highest in the White population (P < 0.001); however, unintentional CO poisoning death rates were nearly two times higher among Black population in adults (0.5 versus 0.3) and pediatrics (0.2 versus 0.1). Medium metropolitan areas exhibited significantly more unintentional CO poisoning deaths (P < 0.001). CONCLUSIONS: Hurricanes and unintentional CO poisoning deaths were most common in Florida. Death rates were higher among Black individuals. Medium metropolitan areas displayed significantly more unintentional CO poisoning deaths than all other areas.
Ozone pollution that threatens human health and the ecosystem is a global environmental challenge. In megacities, ozone pollution has long been mainly attributed to anthropogenic sources. However, the processes and mechanisms of cross-regional transport of ozone and its precursors under interactions between mixed sources remain unclear. Here, we show that Northwest Pacific typhoons could intensify the chemical interactions between anthropogenic and biogenic emissions, resulting in extreme ozone pollution in two main city clusters in China. By integrating field and satellite observations together with model simulations, we show that biogenic emission and cross-regional ozone transport are greatly enhanced by approaching typhoons, with the increments reaching up to 78.0 and 22.5%, respectively. Ozone formation efficiency has more than doubled because of abundant precursors and active photochemistry. This study highlights the importance of natural emissions in areas with intensive human activity, which needs to be considered in future air pollution control in China.
PURPOSE OF REVIEW: The US Navy has a long history of responding to disasters around the globe. US Navy ships have unique characteristics and capabilities that determine their capacity for a disaster response. This paper discusses common considerations and lessons learned from three distinct disaster missions. RECENT FINDINGS: The 2010 earthquake in Haiti had a robust response with multiple US Navy ship platforms. It was best assessed in three phases: an initial mass casualty response, a subacute response, and a humanitarian response. The 2017 response to Hurricane Maria had a significant focus on treating patients with acute needs secondary to chronic illnesses to decrease the burden on the local healthcare system. The COVID-19 response brought distinctive challenges as it was the first mission where hospital ships were utilized in an infectious disease deployment. SUMMARY: The first ships to respond to a disaster will need to focus on triage and acute traumatic injury. After this first phase, the ship’s medical assets will need to focus on providing care in a disrupted health care system which most often includes acute exacerbations of chronic disease. Surgeons must be ready to be flexible in their responsibilities, be competent with end-of-life care, and negotiate technical and cultural communication challenges.
Heavy rainfall, storm surges, and tornadoes are hazards associated with hurricanes that can cause property damages and loss of life. Disaster-related mortality surveillance encounters challenges, such as timely reporting of mortality data. This review demonstrates how tracking hurricane-related deaths using online media reports (eg, news media articles, press releases, social media posts) can enhance mortality surveillance during a response. The Centers for Disease Control and Prevention used online media reports from 2012 to 2020 to characterize hurricane-related deaths from 10 hurricanes that were declared major disasters and the flooding related to Hurricane Joaquin in the contiguous United States. Media reports showed that drowning (n = 139), blunt force trauma (n = 89), and carbon monoxide poisoning (n = 58) were the primary causes of death. Online media and social media reports are not official records. However, media mortality surveillance is useful for hurricane responses to target messaging and current incident decision-making.
Objective: We used a latent class growth model to identify distinct PTSS trajectories and correlates of these trajectories among young adults who experienced Typhoon Hato, the strongest storm to strike China in the last 50 years. Methods: A longitudinal survey (three-waves) was conducted to explore the mental health status and its correlates among young adults exposed to the typhoon. Data from 362 participants were analyzed via a latent class growth model and multinomial logistic regression. Results: Three distinct classes of PTSS trajectories were identified, including: “resilience” (86.46%), “recovery” (9.12%), and “deterioration” (4.42%). The higher levels of direct typhoon exposure, media use, and posttraumatic growth significantly predicted the higher likelihood of participants being in the “recovery” class. In addition, more social support significantly predicted the higher possibility of being in the “resilience” class. Finally, more severe depressive and anxiety symptoms significantly predicted the higher likelihood of being in the “deterioration” class. Conclusion: Further research should develop interventions to enhance protective factors (e.g., posttraumatic growth, media use), decrease risk factors (e.g., depressive and anxiety symptoms), and thereby prevent PTSS.
Firefighters are exposed to a variety of potentially traumatic incidents in their work (Sattler et al., 2014). High levels of trauma exposure put firefighters at risk for mental disorders and symptoms. Using a survey designed to assess the mental health needs of firefighters from a hurricane disaster zone. the authors examined the prevalence of depression, anxiety, posttraumatic stress disorder, alcohol misuse. and suicide. The authors found that the firefighters in the sample reported moderate-to-high levels of mental health symptoms. Moreover, we found that job-related exposure to natural disaster plays a statistically significant role in predicting posttraumatic stress disorder, which provides further evidence of increased risk for mental health symptoms among first responders. More research is necessary to determine the types of events that contribute significantly to negative mental health responses in firefighters.
PURPOSE: Trauma-Focused Cognitive Behavioral Therapy (TF-CBT) has not yet been systematically evaluated in the Caribbean context, particularly with Hispanic youth exposed to multiple disasters. The objective of this project was twofold: 1) to train mental health providers in Puerto Rico in TF-CBT as part of a clinical implementation project within the largest managed behavioral health organization (MBHO) on the island, and 2) to conduct a program evaluation to determine the feasibility of implementation and the effectiveness of the treatment. METHOD: Fifteen psychologists were trained in TF-CBT. These psychologists then provided TF-CBT to 56 children and adolescents, ages 5-18, in community-based mental health clinics and one primary care clinic with a co-located psychologist in Puerto Rico. The mean number of traumatic events reported by youth referred for TF-CBT was 4.11. RESULTS: Thirty-six out of 56 children enrolled in the project (64.3%) successfully completed all components of TF-CBT. Results demonstrated large effect sizes for reduction in youth-reported posttraumatic stress symptoms (PTSS) (Cohen’s d = 1.32), depressive symptoms (Cohen’s d = 1.32), and anxiety symptoms (Cohen’s d = 1.18). CONCLUSIONS: These results suggest that it was feasible to train providers in TF-CBT, that providers were able to deliver TF-CBT in community-based settings both in person and via telehealth (due to the COVID-19 pandemic), and that TF-CBT was an effective treatment option to address trauma-related concerns for youth in Puerto Rico in a post-disaster context. This project is an important first step in the dissemination and implementation of evidence-based trauma-focused treatment for Hispanic youth and disaster-affected youth in the Caribbean.
Following a traumatic event, posttraumatic stress disorder (PTSD) symptoms are common. Considerable research has identified a relationship between physiological responses during fear learning and PTSD. Adults with PTSD display atypical physiological responses, such as increased skin conductance responses (SCR) to threatening cues during fear learning (Orr et al., 2000). However, little research has examined these responses in childhood when fear learning first emerges. We hypothesized that greater threat responsivity in early acquisition during fear conditioning before Hurricane Florence would predict PTSD symptoms in a sample of young children following the hurricane. The final sample included 58 children in North Carolina who completed fear learning before Hurricane Florence-a potentially traumatic event. After the hurricane, we assessed severity of hurricane impact and PTSD symptoms. We found that threat responsivity as measured by differential SCR during fear learning before the hurricane predicted PTSD hyperarousal symptoms and that hurricane impact predicted PTSD symptoms following the disaster. This exploratory work suggests that prospective associations between threat responsivity and PTSD symptoms observed in adulthood may be replicated in early childhood. Results are discussed in the context of the current COVID-19 crisis.
This study exploits the pathway of Hurricane Laura to assess its impact on the spread of COVID-19. Using US hospital data on confirmed and suspected adult COVID-19 cases, we find average daily cases per week rose by more than 12% primarily in tropical storm-affected counties in subsequent weeks. We suspect the key mechanisms involve constraints on social distancing for two reasons. First, there is significant evidence of storm-induced mobility. Second, lower income areas endured higher growth in hospital cases during the post-hurricane period. These findings provide crucial insights for policy-makers when designing natural disaster protocols to adjust for potential respiratory viral illnesses.
A novel comprehensive assessment system, consisting of a bioassay and chemical analysis, was developed to quickly evaluate the human health risk posed by toxic chemicals discharged due to natural disasters. To analyze samples quickly, a yeast-two-hybrid assay (Y2H) and GC-MS equipped with an automated identification and quantification system (AIQS-GC) were employed for the bioassay and chemical analysis, respectively. Since the analysis of 1000 substances by AIQS could be finished within two days following the Y2H assay for screening, this method would complete the risk assessment within three days. To confirm the applicability of this method in real environmental samples, we examined it using sediments circulated by Typhoon Hagibis. In one sediment sample, a distinctive response was indicated by the Y2H assay, and relatively high DDT concentration was identified by AIQS-GC in the same sediment. Therefore, using the results obtained from this method, a human health risk assessment of DDT was conducted, which indicated that the risk could be ignored. Additionally, the contamination of PAHs and alkanes was suggested as well. In this study, the pollution risk assessment could be completed within three days. Therefore, to our knowledge, this is the first study to demonstrate an assessment system with a rapid combination method for emergencies. Consequently, it is believed that this type of novel system would be needed in the future due to the increasing number of natural disasters predicted worldwide.
Excessive amounts of neighbourhood vacant land and abandoned structures can significantly lower community and outsider perceptions, and ultimately impact the mental health conditions of inhabitants. While depopulation, economic conditions and land use dynamics can all play a role in the amount of neighbourhood-scaled vacancies and structural abandonment, natural disaster events such as flooding can also exacerbate the ratio of vacant to non-vacant properties in cities and neighbourhoods through resultant building damage and resident relocations. Examinations on post-disaster mental health are limited, and even less is known about the extent of vacant and abandoned properties on mental health, especially within the disaster recovery context. Using survey responses (n=257) from Houston, TX, USA, from Hurricane Harvey stricken neighbourhoods, this study quantitatively examines how vacancy and abandonment are associated with mental health in disaster-effected communities. Post-traumatic stress disorder (PTSD) was measured using the PTSD Checklist for DSM-5 and health-related quality of life was measured using the Health-Related Quality of Life (HRQOL) scale. Vacancy rates and perceived vacancy were used to predict PTSD and HRQOL in generalised mixed linear models while adjusting for covariates. Findings indicate significant relationships between higher neighbourhood vacancy and elevated risks of PTSD and impaired HRQOL. Further, while the average rate of abandonment in Houston stayed relatively flat, it increased considerably in hurricane impacted communities until two years after Harvey. The outcomes of this study suggest a link between hazard mitigation-recovery and urban regeneration planning to prevent neighbourhood deterioration and improve mental health outcomes after disaster events.
Haiti has experienced many major natural disasters in the past decade that included Hurricane Matthew which led to mass damage to property, a depletion of basic resources, human fatalities and injuries, and mental health consequences that affected the poorest. The current study focused on the psychological effects of Hurricane Matthew on Haitian children and adolescents. Children display heightened depression, and PTSD symptoms in the aftermath of disasters (Hausman et al., Journal of Family Psychology 34:836-845, 2020), however, the researchers anticipated that children living in orphanages would display more severe mental health symptoms than those living with their families, because of their additional stressor of family loss. Using a convenience sample, quantitative data was collected using several instruments, in a survey format, that were individually administered to a sample of 77 adolescents. Participants had high depressive scores and reported multiple adverse events and limited access to basic needs. In comparing subgroups, we found children who were in orphanages reported significantly fewer adverse childhood experiences than those living with their families. This is likely because orphanages in Haiti consistently provide children with a safe and stable environment, buffering them against the traumatic effects of disasters. In contrast, children living with their families reported witnessing or experiencing interpersonal violence, neglect and abuse in addition to disaster-related stress. Before addressing the issues faced by disaster-affected children in Haiti, the systemic issues that maintain the socio-economic deprivation of so many citizens must be addressed. An important step is for policymakers to collaborate with mental health providers to develop community interventions that are low-cost and easily accessible. These interventions must consider and incorporate the social context and cultural patterns of help-seeking and treatment utilization in Haiti.
The impact of support from the social media on one’s well-being among disaster survivors, particularly in the process of their relocation, has been rarely studied. To address this gap, this study examines the moderating role of interpersonal support from the social media on the relationship between post-disaster interpersonal resource losses and post-relocation adversities through the severity of PTSD symptoms. Utilizing data from the 724 post-relocatees of Typhoon Washi and Typhoon Haiyan, the results of the moderated-mediation analysis showed that controlling for age and gender, interpersonal support from the social media moderated the relationship between post-disaster interpersonal resource loss and relocation adversities through PTSD. These results suggest that post-disaster interpersonal resource loss leads to post-relocation adjustment difficulties due to heightened PTSD symptoms, particularly among those survivors who received interpersonal support from social media. The findings paradoxically demonstrate that interpersonal support from the social media may not necessarily buffer distress among post-disaster relocatees, and instead, may even exacerbate the distress associated with post-relocation difficulties.
The PROTECT research Center funded by the NIH’s National Institute of Environmental Health Sciences (NIEHS) Superfund Research Program was launched in 2010 to explore the impact of exposure to pollutants on the high rate of premature births in Puerto Rico. In September 2017, Hurricanes Irma and María devastated the archipelago, which caused: collapse of the electrical system, collapse of the communication system, limited access to clean water, food, gas, and health services, destruction of public (e.g., hospitals) and private property (e.g., houses) and more than 4500 deaths. Pregnant and postpartum individuals are especially vulnerable to natural disasters. They face difficulty obtaining adequate pre- and post-natal care, are exposed to increased risk of miscarriage, premature delivery, and giving birth to low birth weight babies during and after disasters and are also more likely to suffer physical and mental health problems compared to the general population during and after disasters. A face-to-face questionnaire was administered to PROTECT participants who were pregnant during hurricanes Irma or Maria or who became pregnant shortly after in order to identify hurricane-related sources of stress and other adverse effects. This paper is based on the answers to the open-ended question at the end of the questionnaire where participants were asked to share their experiences during and after the hurricanes. Among the 375 participants who completed the survey, 76 answers to the open-ended question were considered due to data saturation. The answers to the open-ended question were transcribed into a document in order to facilitate the coding process. The transcribed text was analyzed first to identify emerging categories and then coded to identify common themes as well as divergence among participants. The following themes were identified: pregnancy and birth challenges, lack of access to basic services, housing conditions, stressful working conditions, concerns about health, concerns about their children, and positive or protective aspects. The results indicate how the disruption in access to basic services has a unique impact on the physical and mental health of pregnant and post-partum women in an emergency situation. These findings point to the potential benefit of developing specific protocols designed for emergency preparedness aimed at this population, which can inform healthcare providers and community organizations in case of future events.
Hurricane María had a profound impact on the way essential health services were given during the emergency period that followed its landfall on Puerto Rico. The main objective of this research was to find out what people with health conditions in need of essentials services from hospitals, clinics, and pharmacies did during the emergency period. Furthermore, we wanted to know people’s view about the government’s response to the aftermath of the hurricane. By conducting a series of interviews with different health specialists, students at the University of Puerto Rico-Cayey, and citizens of the community of Jájome Alto in Cayey, Puerto Rico, we were able to better understand aspects of the physical and social impact caused by Hurricane Maria. Interviews made at Casa Pueblo in Adjuntas, Puerto Rico, served as an inspiration for how we can prepare better for future natural disasters.
BACKGROUND: Coinciding with the rising non-communicable disease (NCD) prevalence worldwide is the increasing frequency and severity of natural hazards. Protecting populations with NCDs against natural hazards is ever more pressing given their increased risk of morbidity and mortality in disaster contexts. This investigation examined Hurricane Maria’s impacts across ten lower SES municipalities in Puerto Rico with varying community characteristics and hurricane impacts to understand experiences of supporting individuals with NCD management in the six-month period following the hurricane. METHODS: We conducted 40 qualitative interviews with mayors, first responders, faith leaders, community leaders, and municipal employees from 10 municipalities in Puerto Rico. Using QSR NVivo software, we deductively and inductively coded interview transcripts and undertook thematic analysis to characterize community-level hurricane impact and consequences for NCD management, and to identify convergent and divergent themes. RESULTS: Damages to infrastructure, including healthcare facilities and roadways, complicated the provision of timely health care for NCDs, patient transport, and pharmaceutical/medical supply chain continuity. Lengthy power outages at both healthcare facilities and private residences were barriers to healthcare service delivery, use of medical equipment, and storage of prescription medications with refrigeration, and led to a widespread mental health crisis. Cascading failures such as fuel shortages further compounded these challenges. The consequences of these impacts included the reported exacerbation of health conditions and loss of life among NCD patients. CONCLUSIONS: Study findings identify contributors to morbidity and mortality among individuals with NCDs following Hurricane Maria. With the growing frequency of catastrophic disasters from natural hazards, the experiences of communities that endured these impacts offer important lessons regarding policies and practices to better support community disaster resilience and address the evolving preparedness needs of NCD patients.
Natural disasters adversely impact children’s mental health, with increased parent or child exposure and subsequent parental distress predicting poorer outcomes. It remains unknown, however, whether the psychological consequences of disasters for children persist long-term, and if so, why and for whom. We therefore examined the effects of mothers’ exposure to Hurricane Katrina on adolescent children’s mental health 12 years later, distinguishing between direct effects of disaster exposure and effects mediated by maternal distress, and evaluating moderation by child age and gender. Data were from a 2003-2018 study of young, low-income, primarily African American mothers living in New Orleans when Hurricane Katrina occurred in 2005 (n = 328). Mothers rated their mental health about one year pre-Katrina and one, four, and 12 years afterwards. They reported on an adolescent child’s (ages 10-17, mean = 14.46) internalizing and externalizing symptoms 12 years post-Katrina using the Strengths and Difficulties Questionnaire. Path analytic models adjusting for mothers’ pre-disaster distress showed that, whereas the direct effects of maternal hurricane exposures on child mental health were not significant, the indirect effects were. Specifically, mothers who experienced more Katrina-related stressors had higher distress thereafter, which predicted poorer child outcomes. Results did not differ significantly by child age. Gender differences are discussed. Findings suggest that disasters can affect child mental health for many years, even for those who were very young or not yet born at the time, due to parents’ disaster-related distress. Addressing parents’ mental health needs in the aftermath of disasters may improve child well-being long-term.
In the aftermath of Hurricane Harvey in 2017, thousands of residents in the Houston area sought refuge at a convention center “megashelter”. Out of concern for the possibility of communicable diseases spreading rapidly in the crowded shelter, we conducted syndromic surveillance to monitor the health of evacuees using a digital drop-in cot-survey. The cot-to-cot survey design rapidly assessed evacuees to determine if they were experiencing any symptoms of illness each night from 1-7 September 2017. While no outbreak of a specific infection was identified during the surveillance period, runny nose, congestion, cough, achy muscles and joints, anxiety, and depression were the most commonly reported symptoms. Out of the total shelter population, 38% of adults reported symptoms compared to 25% of children (<= 18 years). The cot survey took a median of 5.2 min per interview, and the daily participation rate increased throughout the surveillance period starting at 89% and ending at 96% on the last day. The success of this public health response was due, in part, to the effectiveness of survey design and the dissemination of real-time data to the health departments. Digital cot surveys can improve emergency response sustainability, interoperability among emergency responders, and improve evacuee participation.
PURPOSE: Rooted in a trans-territorial framework, the present study was designed to provide new evidence regarding the patterns of communication among Hurricane Maria survivors who migrated to the U.S. in the aftermath of the storm. METHODS: A total of 319 Hurricane Maria survivor adults ages 18 and older were recruited into the Adelante Boricua study between August 2020 and October 2021. Most participants had relocated to the U.S. between 2017 and 2018. We used latent profile analysis and multinomial regression to examine the relationship of technology-based communication with depressive symptoms, well-being, cultural connection, and migration stress. RESULTS: We identified a five-class solution, consisting of (1) moderate communication (32%), (2) disengaged (24%), (3) no social media (18%), (4) daily with family in Puerto Rico (6%), and (5) daily trans-territorial (13%) typologies. Participants in the disengaged class were more likely to report elevated depressive symptoms and limited English proficiency, lower prosocial behaviors, lower levels of religiosity, lower attendance at religious services in the U.S., and less engagement in social activities, compared to participants in the Moderate Communication class. CONCLUSION: Roughly one in four individuals in our sample reported very limited technology-based communication with friends/family in their sending and new-receiving communities. As technology and smartphones continue to become integrated into 21st-century life, it is vital that researchers explore how the tremendous potential for connectedness relates to trans-territorial crisis migrants’ well-being and adaptation.
Disasters affect the well-being of individuals, families and communities. Health and social care providers are essential in response and recovery efforts and are among the most vulnerable to negative physical and mental health impacts of a disaster. Few evidence-based interventions are available to address the psychological needs of providers. The aim of this study was to examine the psychological distress of health and social care providers before and after participating in the brief group intervention, Resilience and Coping for the Healthcare Community (RCHC) and its expanded version, RCHC+. We conducted a pragmatic non-randomised cluster trial with 762 health and social care providers in south Texas and Puerto Rico post-Hurricanes Harvey and Maria. Participants completed surveys assessing post-traumatic stress (PTSD), anxiety, burnout and secondary traumatic stress (STS) prior to intervention delivery and at two time points post-intervention. We calculated the frequency of symptom cut-off scores at baseline, then estimated multilevel ordinal models to examine changes in symptoms across time. Prior to participation in the RCHC (approximately 12 months after the hurricanes), providers reported high levels of PTSD, anxiety and STS symptoms. After participation, providers in both intervention conditions reported a significant reduction in PTSD symptoms from baseline that was sustained over both time points. The likelihood of a reduction in symptoms of anxiety and STS from baseline was sustained at both time points for participants in the RCHC+ condition. These findings indicate that both the RCHC and RCHC+ interventions may reduce psychological distress for health and social care providers and could be an important part of advance planning to support provider’s mental health during and after a disaster. Further examination of the RCHC in other disaster contexts could provide additional insight into the responsiveness of the intervention to reducing psychological distress symptoms.
OBJECTIVES: Tropical storms and hurricanes often produce ocean wave conditions that attract surfers. The risk for serious injury or death from “storm surfing” has not yet been described in the medical literature. This study aimed to quantify deaths attributable to storm surfing along the coasts of North America and the Caribbean islands. METHODS: This was a retrospective review of cases of surfing-related fatalities reported in the tropical cyclone reports of the National Hurricane Center from 1995 to 2020. Media reports were used to identify additional cases and, when available, to provide supplemental demographic and geographical information. RESULTS: There have been 27 reported storm surfing deaths during this time period. Among those for whom demographic data were available, all of the decedents were male and three were children younger than 18 years old. All but three of the deaths occurred among those surfing Atlantic storms, and one-third of the fatal injuries occurred off the coast of Florida. Eight deaths occurred while surf conditions were affected by tropical storms that did not reach hurricane status. CONCLUSIONS: Both tropical storms and hurricanes produce dangerous surf conditions that have resulted in fatal injuries among surfers during the past 25 years.
BACKGROUND: While natural disasters like hurricanes are increasingly common, their long-term effects on people who inject drugs are not well understood. Although brief in duration, natural disasters can radically transform risk environments, increasing substance use and drug-related harms. METHODS: Based on a study of people who inject drugs (PWID) and injection risk behaviors in rural Puerto Rico, the present study uses data from two different phases of the parent study. Data for 110 participants were collected from December 2015 to January 2017, soon before Hurricane Maria landed in September 2017; the 2019 phase, in the aftermath of the hurricane, included a total of 103 participants. The present study’s main analyses used data from 66 PWID who participated in both the pre-Maria and post-Maria interviews (66 individuals measured at two time points, for a total of 132 observations), using mixed-effects binomial logistic regression to examine recent overdose experiences pre- and post-Maria. A separate descriptive analysis included all 103 participants from the 2019 interview. RESULTS: After Hurricane Maria, some declines in injection frequency were observed (the percentage of people reporting injecting monthly or less increased from 3.0% before Hurricane Maria to 22.7% after Hurricane Maria). However, fewer PWID reported using a new needle for most or all injections. In the pre-Maria interview, 10.6% of participants indicated they had experienced an overdose during the year of the interview and/or the calendar year prior, and this figure increased to 24.2% in the post-Maria interview. In the regression analysis, the odds of reporting an overdose during the interview year and/or calendar year prior were three times as high post-Maria, relative to pre-Maria (odds ratio 3.25, 95% confidence interval 1.06-9.97). CONCLUSION: Substance use patterns, injection risk behaviors, and overdose episodes and deaths differed after Hurricane Maria, relative to before the hurricane, yet it is unclear to what extent these changes also reflect the simultaneous arrival of fentanyl. In preparation for future natural disasters, it is imperative to strengthen the health infrastructure by enhancing access and curbing barriers to syringe services programs and medications for opioid use disorder, particularly in rural or underserved locations.
Following Hurricanes Irma and Maria in September 2017, there were elevated rates of depression and suicide in Puerto Rico. This study evaluates mental health in older and elderly Puerto Ricans 6 months after the hurricanes and suggests strategies for improving future psychosocial responses. Patients attending clinics were evaluated for depression (Patient Health Questionnaire [PHQ-9]) and suicide risk (Ask Suicide-Screening Questions [ASQ]) and were surveyed about their perceived safety, designated as a proxy for anxiety. Used in conjunction, PHQ-9 and ASQ were found to identify a greater proportion of individuals experiencing adverse mental health effects than if each instrument was used in isolation. Patients were also surveyed about time to water and electricity restoration, and it was found that prolonged time to water restoration was associated with increased prevalence and severity of depression and decreased perceived safety. Based on collected patient data (n = 523), using multiple mental health screening tools for diagnosis, improving perceptions of home safety or anxiety, and prioritizing water restoration may reduce mental health sequelae in the elderly and enhance the effect of psychosocial responses following disasters.
Sleep patterns following a natural disaster are associated with mental health difficulties, but research in youth samples has been limited to subjective reports of sleep. Participants (N = 68, 8-17 years old) completed an assessment 6-9 months after Hurricane Harvey, which included subjective measures of sleep, chronotype, hurricane-related post-traumatic stress symptoms, and one week of actigraphy. Prior to the hurricane, parents provided reports on emotional symptoms. Controlling for age, sex, socioeconomic status, participation time, and pre-hurricane emotional symptoms, subjective sleep disturbances and an eveningness chronotype were associated with greater post-traumatic stress, with the strongest effects observed for re-experiencing, negative cognitions/mood, and arousal/reactivity symptoms. Later sleep timing as measured by actigraphy was associated with greater arousal/reactivity symptoms and shorter sleep duration was associated with greater avoidance symptoms. As extreme weather-related events are expected to become more frequent and severe, these findings contribute to models of youth risk and resilience.
BACKGROUND: Limited evidence is available about the association between tropical cyclones and dengue incidence. This study aimed to examine the effects of tropical cyclones on the incidence of dengue and to explore the vulnerable populations in Guangzhou, China. METHODS: Weekly dengue case data, tropical cyclone and meteorological data during the tropical cyclones season (June to October) from 2015 to 2019 were collected for the study. A quasi-Poisson generalized linear model combined with a distributed lag non-linear model was conducted to quantify the association between tropical cyclones and dengue, controlling for meteorological factors, seasonality, and long-term trend. Proportion of dengue cases attributable to tropical cyclone exposure was calculated. The effect difference by sex and age groups was calculated to identify vulnerable populations. The tropical cyclones were classified into two levels to compare the effects of different grades of tropical cyclones on the dengue incidence. RESULTS: Tropical cyclones were associated with an increased number of dengue cases with the maximum risk ratio of 1.41 (95% confidence interval 1.17-1.69) in lag 0 week and cumulative risk ratio of 2.13 (95% confidence interval 1.28-3.56) in lag 0-4 weeks. The attributable fraction was 6.31% (95% empirical confidence interval 1.96-10.16%). Men and the elderly were more vulnerable to the effects of tropical cyclones than the others. The effects of typhoons were stronger than those of tropical storms among various subpopulations. CONCLUSIONS: Our findings indicate that tropical cyclones may increase the incidence of dengue within a 4-week lag in Guangzhou, China, and the effects were more pronounced in men and the elderly. Precautionary measures should be taken with a focus on the identified vulnerable populations to control the transmission of dengue associated with tropical cyclones.
This research examines how disaster-induced displacements in the United States impact communities on the periphery of disaster zones when demand pressures push infrastructure systems beyond their design capacity. As displacement events become more complex, disruptive, and prolonged, they threaten both ‘hard’ infrastructure systems (transportation, energy, water, and communications) as well as ‘soft’ infrastructure (healthcare systems, emergency response, public safety, and education). This research applies a comparative case study analysis, examining displacement during three disaster events: Hurricanes Katrina and Maria and the Camp Fire in Paradise, California. Several factors influence how community-level infrastructure systems respond to the demands of supporting evacuees: the nature of the triggering event, the dynamics of the displacement, levels of social vulnerability among the affected population, and the pre-disaster capacity of infrastructure systems.
OBJECTIVES: The aim of this study was to provide insights learned from disaster research response (DR2) efforts following Hurricane Harvey in 2017 to launch DR2 activities following the Intercontinental Terminals Company (ITC) fire in Deer Park, Texas, in 2019. METHODS: A multidisciplinary group of academic, community, and government partners launched a myriad of DR2 activities. RESULTS: The DR2 response to Hurricane Harvey focused on enhancing environmental health literacy around clean-up efforts, measuring environmental contaminants in soil and water in impacted neighborhoods, and launching studies to evaluate the health impact of the disaster. The lessons learned after Harvey enabled rapid DR2 activities following the ITC fire, including air monitoring and administering surveys and in-depth interviews with affected residents. CONCLUSIONS: Embedding DR2 activities at academic institutions can enable rapid deployment of lessons learned from one disaster to enhance the response to subsequent disasters, even when those disasters are different. Our experience demonstrates the importance of academic institutions working with governmental and community partners to support timely disaster response efforts. Efforts enabled by such experience include providing health and safety training and consistent and reliable messaging, collecting time-sensitive and critical data in the wake of the event, and launching research to understand health impacts and improve resiliency.
Child-centred disaster risk reduction aims to reduce child vulnerability and increase resilience to disasters. The 2015 Comprehensive School Safety Framework (CSSF) sought to decrease hazard risks to education. Between 2015 and 2017, Dominica was struck by Tropical Storm Erika and Hurricane Maria, which significantly affected the education system at the local and national scales. Since Maria, a couple of national initiatives (Safer Schools and Smart Schools) have been introduced to increase resilience and meet the CSSF’s objectives. This paper assesses progress made through a qualitative analysis of interviews with 29 school leaders, government officials, and disaster risk reduction stakeholders. Implementation of the climate resilience programme in 2018 resulted in nationwide teacher training and production of school disaster plans. Limited successes have improved social resilience, but short-term implementation due to COVID-19 and a lack of a teacher knowledge base have presented challenges to the scheme’s long-term sustainability and the implementation of the CSSF’s goals.
BACKGROUND: Studies of effects of hurricanes on perinatal outcomes often rely on approximate measures of exposure. This study aims to use observed damage from aerial imagery to refine residential building damage estimates, evaluate the population changes post landfall, and assess the associations between the extent of residential building damage and adverse perinatal outcomes and access to prenatal care (PNC) services. METHODS: Vital statistics data from the Florida Department of Health’s Office of Vital Statistics were used to align maternal geocoded address data to high-resolution imagery (0.5-foot resolution, true color with red, blue, and green bands) aerial photographs. Machine learning (support vector machines) classified residential roof damage across the study area. Perinatal outcomes were compared with the presence or absence of damage to the mother’s home. Log-binomial regression models were used to compare the populations living in and outside of high-risk/damage areas, to assess the population changes after Hurricane Michael, and to estimate the associations between damage after Hurricane Michael and adverse perinatal outcomes/access to PNC services. A semi-parametric linear model was used to model time of first PNC visit and increase in damage. RESULTS: We included 8,965 women in analysis. Women with lower education and/or of Black or other non-White race/ethnicity were more likely to live in areas that would see high damage than other groups. Moreover, there was a greater proportion of births delivered by women living in the high-risk/damage area (> 25% damaged parcels after Michael) in the year before Michael than the year after Michael. Lastly, living in the area with relatively high damage increased the risk of having intermediate or inadequate PNC (adjusted Risk Ratio = 1.21, 95% CI: 1.03, 1.43), but not other adverse perinatal outcomes. CONCLUSIONS: Aerially observed damage data enable us to evaluate the impact of natural disasters on perinatal outcomes and access to PNC services based on residential building damage immediately surrounding a household. The association between the extent of damage and adverse perinatal outcomes should be further investigated in future studies.
Severe storms and flooding events are expected to increase in frequency and severity, with lasting economic, social, and psychological impacts on communities in post-disaster recovery. In the first mixed methods study to focus on the experiences of Houstonians during Hurricane Harvey, which resulted in unprecedented and widespread flooding and billions of dollars in dam-age, we conducted five focus groups from four neighborhoods almost two years after Harvey made landfall. Our purpose was to understand how residents withstood and recovered from flooding-related stressors, what the major sources of support were and what long-term issues they were still dealing with. Residents relied on their families, friends, and neighborhood networks of-fline and online to seek important information about the storm and coordinate rescue efforts. They turned to their friends and neighbors for help with cleaning their homes and received sup-port and donations from church and volunteer groups, while in one neighborhood residents orga-nized themselves and coordinated aid and clean-up activities. Contrasting with this initial surge of social support that was perceived as overwhelmingly positive, the process of applying for fed-eral aid was confusing, and residents reported continued stress and mental health strain. The ex-periences of Houston residents echo those of Hurricanes Katrina and Sandy survivors, particu-larly when seeking federal assistance, an experience that continued to exacerbate post-disaster stress. Enhanced state and local disaster response mechanisms, as well engaged partnerships be-tween community stakeholders, academics and policy makers have the potential to improve com-munity resilience, particularly in the natural and industrial disaster-prone greater Houston area.
This paper draws upon the notion of slow emergency as a framework to interpret ethnographic and qualitative findings on the challenges faced by Puerto Ricans with chronic conditions and health sector representatives throughout the island during and after Hurricane María. We conducted participant observation and qualitative interviews with chronic disease patients (n=20) health care providers and administrators (n=42), and policy makers (n=5) from across the island of Puerto Rico in 2018 and 2019. Many Puerto Ricans coping with chronic diseases during and after María experienced bureaucratic red tape as the manifestation of colonial legacies of disaster management and health care. They describe a precarious existence in perpetual “application pending” status, waiting for services that were not forthcoming. Drawing on ethnographically informed case examples, we discuss the effects of these bureaucratic barriers on persons with three chronic conditions: renal disease, opioid dependency, and HIV/AIDS. We argue that while emergency management approaches often presume a citizen-subject with autonomous capacity to prepare for presumably transient disasters and envision a ‘post-disaster future’ beyond the immediate crisis, Puerto Rican voices draw attention to the longer, sustained, slow emergency of colonial governance.
The Pregnancy Risk Assessment Monitoring System-Zika Postpartum Emergency Response study, implemented in Puerto Rico during the Zika virus outbreak (2016-2017) and after Hurricanes Irma and Maria (2017-2018), collected pregnancy-related data using postpartum hospital-based surveys and telephone follow-up surveys. Response rates of 75% or more were observed across five study surveys. The study informed programs, increased the Puerto Rico Department of Health’s capacity to conduct maternal-infant health surveillance, and demonstrated the effectiveness of this methodology for collecting data during public health emergencies.
Farmers, forest owners, and rural communities are among the groups most exposed to the effects and associated impacts of hurricanes and other extreme climate events in the Caribbean. Yet, lit-tle is known about their preparedness for or their capacity to respond to and recover from these disturbances. We conducted qualitative research involving focus group discussions and in-depth interviews with 152 farmers, forest owners, and agriculture and forest experts in Puerto Rico and the U.S Virgin Islands to understand the effects and associated impacts of hurricanes Irma and Maria at farm, forest, community, and sectoral levels and the internal and external factors that help to explain their capacities to anticipate, absorb, and adapt to hurricanes and other extreme climate events. Participants reported widespread crop and livestock losses; extensive damages to roads, facilities, and other private and public infrastructure; lengthy outages in electricity, telecommunications, and water supplies; and harmful impacts on human health and well-being that significantly affected their productive capacities and livelihoods. Most farmers and forest owners reported coping with the immediate effects and associated impacts of the hurricanes largely on their own, some also reported the emergence of informal or extemporized relief and re-covery support, mostly from family members, neighbors, and others in their local community. Of-ficial relief and recovery resources for the agriculture and forest sectors were described by many as having been too rigid or onerous to access or navigate successfully, ultimately limiting their ef-fectiveness in supporting farm and forest relief and recovery. Few participants or sectors reported having adequate hurricane preparations, mitigation, or adaptation practices in place prior to the storms. Low levels of risk reduction and adaptation mostly were associated with limited human, financial, and technological resources to design and implement related strategies and practices at individual and community levels. Many participants expressed a desire to incorporate more or specific hurricane and other disturbance plans and preparations into their production systems. Some participants also described plans to adapt, innovate, or transform their farm and forest sys-tems, but few had implemented these types of changes at the time of data collection. Findings point to the need for improved understanding, adoption, and support of effective hurricane miti-gation and adaptation measures in agriculture, forests, and rural communities; increased flexibil-ity and adaptiveness of official response and recovery programs and processes to accommodate local contexts, capacities, and conditions; and practical planning, preparations, and other risk re-duction measures for famers and forest owners at individual, community, organizational, and larger scales. Study results are important to the design and implementation of ongoing recovery efforts as well as broader conservation efforts within and across agriculture, forest, and rural communities in the U.S. Caribbean.
Background and Objectives: The social support deterioration model (SSDM) posits that individuals who do not receive adequate support following a disaster are vulnerable to losses in community solidarity and perceived support, as well as the development of persistent distress. However, limited longitudinal research has evaluated the relations among support and these outcomes among disaster-affected individuals. Design: The current study utilized random intercept cross-lagged panel modeling (RI-CLPM) to examine reciprocal relations among received support, community solidarity, perceived support, and posttraumatic stress disorder (PTSD) symptoms among rural Hurricane Florence survivors (n = 261) assessed 5-8 months post-hurricane (T1), and then at two more timepoints at three-month intervals (T2 and T3). Results: Results of the RI-CLPM supported that lower received support at T2 was associated with decreases in community solidarity at T3, and higher perceived support at T1 was associated with increases in received support at T2. In supplemental analyses, higher received support at T2 was associated with lower PTSD symptoms at T3. Conclusions: Consistent with the SSDM, individuals who receive less support post-disaster are vulnerable to losses in community solidarity and potentially persistent PTSD symptoms. Conversely, those with stronger support networks may be better able to access needed support in the longer-term.
OBJECTIVE: The objective of this study is to assess the impact that natural disaster response has on local health departments’ (LHD) ability to continue to provide essential public health services. METHODS: A web-based survey was sent to all North Carolina Local Health Directors. The survey asked respondents to report on LHD functioning following Hurricanes Florence (2018) and Dorian (2019). RESULTS: After Hurricane Florence, the positions who most frequently had regular duties postponed or interrupted were leadership (15 of 48; 31.3%), and professional staff (e.g., nursing and epidemiology: 11 of 48; 22.9%). Staffing shelters for all phases – from disaster response through long-term recovery – was identified as a burden by LHDs, particularly for nursing staff. Approximately 66.6% of LHD jurisdictions opened an Emergency Operations Center (EOC) or activated Incident Command System in response to both hurricanes. If an EOC was activated, the LHD was statistically, significantly more likely to report that normal duties had been interrupted across every domain assessed. CONCLUSIONS: The ability of LHDs to perform regular activities and provide essential public health services is impacted by their obligations to support disaster response. Better metrics are needed to measure the impacts to estimate indirect public health impacts of disasters.
Natural disasters can have devastating and long-lasting effects on a community’s emotional well-being. These effects may be distributed unequally, affecting some communities more profoundly and possibly over longer time periods than others. Here, we analyze the effects of four major US hurricanes, namely, Irma, Harvey, Florence, and Dorian on the emotional well-being of the affected communities and regions. We show that a community’s emotional response to a hurricane event can be measured from the content of social media that its population posted before, during, and after the hurricane. For each hurricane making landfall in the US, we observe a significant decrease in sentiment in the affected areas before and during the hurricane followed by a rapid return to pre-hurricane baseline, often within 1-2 weeks. However, some communities exhibit markedly different rates of decline and return to previous equilibrium levels. This points towards the possibility of measuring the emotional resilience of communities from the dynamics of their online emotional response.
Since vulnerability is not recognized, the issue of mental health in Puerto Rico is something that is invisible on the island. The objective of this research is to recognize the negative psychological effects caused by the passage of Hurricane Maria in Puerto Rico. The data collection was carried out through nine semi-structured interviews, with Puerto Ricans between the ages of twenty to seventy-five years of age, the majority being college students. The experiences of each of the interviewees regarding their life before, during and after Hurricane Maria were investigated. The results of this research showed that the greatest impact, in terms of mental health, was during the months after the hurricane. As mentioned by most of the participants, the despair of seeing that nothing returned to normal and that necessities-drinking water, electricity, food, etc.-were scarce, created a mass hysteria and great trauma. Puerto Ricans have not yet overcome the adversities that Hurricane Maria brought. During the investigation, we were able to observe how there are still people who have not recovered mentally or psychologically after this natural disaster. According to our observations, there are many people in need of professional psychological help, which is not recognized, as seeking such help is taboo. Therefore, it is time to act and start working on this situation.
Climate change is increasing the severity of extreme weather events, particularly hurricanes, presenting a significant challenge to Caribbean coastal communities. In the aftermath of a major disaster, government interventions typically prioritise infrastructure, assets, and the economy through rebuilding roads, reviving economic sectors, and providing financial compensation. This is driven by a focus on macro-level quantitative indicators rather than by local, multidimensional subjective and relational factors, closer to lived experiences and livelihoods. Using frameworks outlining social well-being and agency, this paper explores strategies used by a fisheries-dependent community in Dominica to recover from Hurricane Maria in 2017 and pursue well-being. The findings highlight the importance of multidimensional well-being, particularly relational and subjective dimensions, including existing social networks, and personal relationships critical for recovery after Maria. Furthermore, the paper demonstrates how recovery initiatives that concentrate solely on material well-being, such as employment, can undermine agency in the capacity of a community to recover and build resilience.
PURPOSE OF REVIEW: There is clear evidence that the earth’s climate is changing, largely from anthropogenic causes. Flooding and tropical cyclones have clear impacts on human health in the United States at present, and projections of their health impacts in the future will help inform climate policy, yet to date there have been few quantitative climate health impact projections. RECENT FINDINGS: Despite a wealth of studies characterizing health impacts of floods and tropical cyclones, many are better suited for qualitative, rather than quantitative, projections of climate change health impacts. However, a growing number have features that will facilitate their use in quantitative projections, features we highlight here. Further, while it can be difficult to project how exposures to flood and tropical cyclone hazards will change in the future, climate science continues to advance in its capabilities to capture changes in these exposures, including capturing regional variation. Developments in climate epidemiology and climate science are opening new possibilities in projecting the health impacts of floods and tropical cyclones under a changing climate.
The aim of this study was to assess the relation between early exposure to stressful events and symptoms of the Attention-Deficit/Hyperactivity Disorder (ADHD) in children, based on the outcomes from a natural experiment. It was hypothesized that children pre- and postnatally exposed to cyclone Aila have increased ADHD symptoms compared to the control group, and the effect depends on the timing of the exposure. Indian children (8-11 years) prenatally (N = 336) and early postnatally (N = 216) exposed to cyclone Aila were compared to a non-exposed control peer group (N = 285). ADHD symptoms were assessed using the Conner’s Teacher Rating Scale Revised. The main effect of exposure to the cyclone on the total ADHD symptoms’ score, ADHD index, Hyperactivity and Oppositional symptoms was significant and independent to covariates: age and sex of children, gestational age and birth weight, maternal stress during the year before the study and the socioeconomic status of a family. The timing of exposure and sex of the children were found to be a significant moderator of the relation between early exposure to the natural disaster and ADHD symptoms. The prenatal, but also early postnatal exposure to stressful experiences such as a natural disaster, may disturb the development of cognitive functions and behavioural control, thus increasing the risk of ADHD in children.
BACKGROUND: Prenatal adverse exposures have been associated with increased risks of development of respiratory diseases in children. The infant nasal microbiome is an important mechanism and indicator. OBJECTIVE: Our aim was to characterize and compare the nasal microbiome of infants who were in utero and exposed to Hurricane Maria in Puerto Rico during 2017 with that of infants who were conceived at least 5 months after the hurricane as controls. METHODS: We recruited 63 vaginally born infants, 29 of whom were in the exposure group and 34 of whom were in the control group. Nasal swab samples were collected and analyzed by using 16S ribosomal RNA gene sequencing at the community and taxon levels, respectively. RESULTS: Infants in the exposure group were more likely to harbor a Staphylococcus-Streptococcus-dominant microbial community in their nose. The richness and diversity of the microbiome was significantly higher in the exposure group than in the control group. In the exposure group, the bacterial genera Rhodocista, Azospirillum, Massilia, Herbaspirillum, Aquabacterium, and Pseudomonas were enriched, whereas Corynebacterium and Ralstonia were depleted. Food insecurity due to Hurricane Maria was associated with an increase in Pseudomonas in the infant nasal microbiome. CONCLUSION: Infants who were exposed to Hurricane Maria during gestation had an altered nasal microbiome, with a higher prevalence of environmental bacteria. More research is needed to evaluate the long-term impacts of extreme weather events occurring in the prenatal stage on a child’s nasal microbiome and respiratory health.
Maternal stress during pregnancy exerts long-term effects on the mental well-being of the offspring. However, the long-term effect of prenatal exposure on the offspring’s mental status is only partially understood. The placenta plays a vital role in connecting the maternal side to the fetus, thereby serving as an important interface between maternal exposure and fetal development. Here, we profiled the placental transcriptome of women who were pregnant during a hurricane (Superstorm Sandy), which struck New York City in 2012. The offspring were followed longitudinally and their temperament was assessed during the first 6-12 months of age. The data identified a significant correlation between a Superstorm Sandy stress factor score and infant temperament. Further, analysis of the placental transcriptomes identified an enrichment of functional pathways related to inflammation, extracellular matrix integrity and sensory perception in the specimen from those infants with “Slow-to-Warm-up” temperament during the first year of life. Together, these findings provide initial evidence that maternal exposure to climate-related disasters results in altered placental transcriptome, which may be related to long-term emotional and behavioral consequences in children.
Background Growing evidence shows an association between in utero exposure to natural disasters and child behavioral problems, but we still know little about the development of specific psychopathology in preschool-aged children. Methods Preschool children (n = 163, mean age = 3.19, 85.5% racial and ethnic minorities) and their parents (n = 151) were evaluated annually at ages 2-5 to assess the emergence of psychopathology using the Preschool Age Psychopathological Assessment (PAPA), a parent-report structured diagnostic interview developed for preschool-age children. Sixty-six (40.5%) children were exposed to Sandy Storm (SS) in utero and 97 (59.5%) were not. Survival analysis evaluated patterns of onset and estimated cumulative risks of psychopathology among exposed and unexposed children, in total and by sex. Analyses were controlled for the severity of objective and subjective SS-related stress, concurrent family stress, and demographic and psychosocial confounders, such as maternal age, race, SES, maternal substance use, and normative prenatal stress. Results Exposure to SS in utero was associated with a substantial increase in depressive disorders (Hazard Ratio (HR) = 16.9, p = .030), anxiety disorders (HR = 5.1, p < .0001), and attention-deficit/disruptive behavioral disorders (HR = 3.4, p = .02). Diagnostic rates were elevated for generalized anxiety disorder (GAD; HR = 8.5, p = .004), attention-deficit/hyperactivity disorder (ADHD; HR = 5.5, p = .01), oppositional-defiant disorder (ODD; HR = 3.8, p = .05), and separation-anxiety disorder (SAD; HR = 3.5, p = .001). Males had distinctively elevated risks for attention-deficit/disruptive behavioral disorders (HR = 7.8, p = .02), including ADHD, CD, and ODD, whereas females had elevated risks for anxiety disorders (HR = 10.0, p < .0001), phobia (HR = 2.8, p = .02) and depressive disorders (HR = 30.0, p = .03), including SAD, GAD, and dysthymia. Conclusions The findings demonstrate that in utero exposure to a major weather-related disaster (SS) was associated with increased risk for psychopathology in children and provided evidence of distinct psychopathological outcomes as a function of sex. More attention is needed to understand specific parent, child, and environmental factors which account for this increased risk, and to develop mitigation strategies.
OBJECTIVES: Only few studies evaluated whether hurricane preparedness impacts health. The PREPARE study addresses this gap. METHODS: We recruited participants who had pertinent pre-hurricane data from the San Juan Overweight Adults Longitudinal Study (SOALS: n=364) and 125 patients with diabetes from Federally Qualified Health Center (COSSMA) in Puerto Rico. Participants aged 42-75 years completed interviews 20-34 months after Hurricanes Irma and Maria. We evaluated associations between self-reported hurricane preparedness and health and other related associations using logistic regression controlling for age, location, education and interview date. RESULTS: Only 41% of participants reported high pre-hurricane preparedness; 25% reported gaps (moderate/low availability) in information and 48% reported gaps in resources for hurricane preparedness. Participants reporting lower pre-hurricane preparedness had higher reported hurricane-related detrimental health impact (OR=1.96; 95% CI: 1.31, 2.95) and higher odds (OR=2.07; 95% CI: 0.92, 4.68) of developing new non-communicable disease (NCD) compared to others. Post-hurricane drinking water disruption for ≥ 3 months versus none or less (OR=2.76; 95% CI: 1.39, 5.47) and similarly diet changes due to cooking/refrigeration access (OR=1.96; 95% CI: 1.24, 3.07), and diet changes for ≥ 20 months due to finances/access to shops (OR=2.83; 95% CI: 1.85, 4.32) were also associated with detrimental health impact. CONCLUSION: Lower preparedness was associated with higher detrimental impact of the hurricanes on overall health, and marginally significant impact on NCD. Future preparedness efforts could especially target means of coping with disruption of water services and regular diet, as these were also associated with detrimental health impact.
The Unified Protocol for Transdiagnostic Treatment of Emotional Disorders (UP) has demonstrated efficacy for treating anxiety and depression. However, there are limited effectiveness data when conducted in real-world settings with diverse populations, including those with trauma. We evaluated treatment outcomes in a naturalistic, community setting among 279 adults who received UP following Hurricane Harvey. We examined change in overall clinical severity, depression and anxiety symptoms, functional impairment, and baseline outcome predictors (i.e., demographic characteristics, impact from Hurricane Harvey, co-occurrence of depression and anxiety symptoms). Global clinical severity, depression and anxiety symptoms, and functional impairment decreased by end-of-treatment. Participants experienced global symptom improvement to a lesser degree than demonstrated in efficacy trials. Participants who experienced greater storm impact reported larger reductions in anxiety symptoms than those less impacted by Harvey. Further studies evaluating the effectiveness of the UP post-disaster and with diverse samples are needed.
The Post-Hurricane Distress Scale (PHDS) was developed to assess mental health risk in the aftermath of hurricanes. We derive both disorder-specific cutoff values and a single nonspecific cutoff for the PHDS for field use by disaster relief and mental health workers. Data from 672 adult residents of Puerto Rico, sampled 3 to 12 months after Hurricane Maria, were collected. Participants completed a five-tool questionnaire packet: PHDS, Kessler K6, Patient Health Questionnaire 9, Generalized Anxiety Disorder 7, and Post-Traumatic Stress Disorder Checklist for DSM V (PCL-5). ROC curves, AUC values, sensitivities, specificities, Youden’s index, and LR+ ratios are reported. The recommended single cutoff value for the PHDS is 41, whereby a respondent with a PHDS score of 41 or above is deemed high-risk for a mental health disorder. The single field use PHDS cutoff demonstrated high specificity (0.80), an LR + ratio (2.84), and a sensitivity of 0.56. The mean ROC values of PHDS for Kessler K6, Patient Health Questionnaire 9, Generalized Anxiety Disorder 7, and PCL-5 were all above 0.74. The derived cutoff for the PHDS allows efficient assessment of respondents’ and/or a community’s risk status for mental health disorders in the aftermath of hurricanes and natural disasters.
This study examined the influence of trauma exposure and posttraumatic stress (PTS) severity on accuracy of recall of autobiographical memory of traumatic events and pleasant events in very young children. Two hundred sixteen 3-6 year-old children with trauma exposure were interviewed with standardized interviews. Forty-one non-trauma-exposed controls were interviewed about stressful events for comparison. Accuracy of recall for both traumatic and pleasant events was not associated with severity of PTS. Trauma-exposed children showed significantly less accurate recall of trauma events compared to pleasant events. This difference was limited to children who experienced repeated trauma or Hurricane Katrina-related trauma experiences as opposed to single-blow types of trauma experiences. There was no difference in accuracy of recall of trauma events in the trauma-exposed group versus stressful events in the control group. There was also no difference in accuracy of recall of pleasant events between the trauma-exposed and the control groups. These findings do not support traditional theories that autobiographical recall is impaired in those with posttraumatic stress disorder or with trauma exposure. These findings demonstrate that very young children have access to and can verbalize accurate autobiographical recall of trauma events, which is important for clinical assessment and treatment.
Purpose: In the realm of disaster risk reduction (DRR) efforts and disaster resilience discipline globally, the impacts of disasters at the family level – especially in terms of interpersonal relationships – remain largely understudied. This paper aims to explore the impacts of postdisaster relocation on the internal dynamics of families in Southville 7 in Calauan, Laguna, Philippines during the aftermath of the 2009 typhoon Ketsana, and endeavors to inform institutional policies to strengthen families’ disaster resilience. Design/methodology/approach Purposive sampling was applied in choosing the 20 participating families for the case study of Site III, Southville 7 – a relocation site housing more than 3,000 displaced families from Metro Manila during typhoon Ketsana. Data gathering methods such as semistructured interviews and personal observations were used during fieldwork, the findings of which were coded to reveal the study’s analytical themes. Findings Research findings reveal that the impacts of postdisaster relocation to family dynamics could be classified into seven broad categories: family composition and structure; members’ roles; parenting; parents’ marital relationship; familial relationship; family member’s personalities; and death and disabilities. The interplay between these impacts results in either stronger overall family cohesion or further relational ruptures. Originality/value By spotlighting the impacts of disasters on overall family dynamics in the context of postdisaster relocation, this study seeks to elevate the place of the family in the DRR and disaster resilience discourse.
OBJECTIVE: Various theories have been proposed to elucidate the mechanisms underlying the effect of parental posttraumatic stress symptoms (PTSSs) on their children. However, these theories focused on unique mechanisms for some factors and overlooked the combined role of different factors. This study aimed to construct a broad theoretical framework to comprehensively understand the mechanisms underlying the effect of parents’ PTSSs on adolescents. We examined the combined role of parental PTSSs and marital conflict, and adolescents’ self-differentiation, psychological inflexibility, and rumination after super typhoon Lekima. METHOD: We used self-report questionnaires to investigate 1,218 parent-adolescent dyads in the area most affected by the disaster 3 months after the typhoon. RESULTS: Parents’ PTSSs had a direct and positive association with adolescents’ PTSSs. We also observed parents’ PTSSs had an indirect relationship with adolescents’ PTSSs through parental marital conflict and adolescents’ self-differentiation, psychological inflexibility, and rumination. CONCLUSIONS: An effect of PTSSs may be found in the dyadic interaction between parents and their children. Children’s psychological and behavioral changes resulting from impaired family relationship functioning exhibited by their posttraumatic parents also play an important role in the interpersonal effect of PTSSs. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
Hurricane or Cyclone is an extreme environment and climate event that has both long-term and short-term impact, and produces environmental emergency displacement. This study has focused on two devastating cyclone disaster events in the 21st century: Hurricane Katrina in 2005 in the USA and Cyclone Sidr in 2007 in Bangladesh. By using secondary-based research and comparative case study technique, this study focuses on different considerations of governmental policy approaches and responses such as encouraging displacement through resettlement or relocation planning, providing resilience-oriented practices or in-situ adaptation practices; discouraging migration by providing soft policies such as rapid response and distribution plan, insurance, tax policies, incentives etc. in Hurricane Katrina and Cyclone Sidr. By highlighting the above considerations, this study found that developing policy at national level as well as strategic and operational measures at state/local level, integrating rights, resilience and relocation issues with existing relevant policies and programs and active community-based preparedness programs can reduce human displacement from hurricane or cyclone disaster. (C) 2022 The Shanghai Typhoon Institute of China Meteorological Administration. Publishing services by Elsevier B.V.
Little is known on how different types of disasters interact in their impacts on patient care. We experienced a breast cancer patient whose initial presentation was delayed for 2 years due to the COVID-19 pandemic and Typhoon Hagibis. Increasing awareness is needed on the combined impacts of disasters on breast cancer management.
BACKGROUND AND OBJECTIVES: Our understanding of the impact of disaster exposure on the physical health of older adults is largely based on hospital admissions for acute illnesses in the weeks following a disaster. Studies of longer-term outcomes have centered primarily on mental health. Missing have been studies examining whether exposure to disaster increases the risk for the onset of chronic diseases. We examined the extent to which 2 indicators of disaster exposure (geographic exposure and peritraumatic stress) were associated with new onset of cardiovascular disease, diabetes, arthritis, and lung disease to improve our understanding of the long-term physical health consequences of disaster exposure. RESEARCH DESIGN AND METHODS: We linked self-reported data collected prior to and following Hurricane Sandy from a longitudinal panel study with Medicare data to assess time to new onset of chronic diseases in the 4 years after the hurricane. RESULTS: We found that older adults who reported high levels of peritraumatic stress from Hurricane Sandy had more than twice the risk of experiencing a new diagnosis of lung disease, diabetes, and arthritis in the 4 years after the hurricane compared to older adults who did not experience high levels of peritraumatic stress. Geographic proximity to the hurricane was not associated with these outcomes. Analyses controlled for known risk factors for the onset of chronic diseases, including demographic, psychosocial, and health risks. DISCUSSION AND IMPLICATIONS: Findings reveal that physical health effects of disaster-related peritraumatic stress extend beyond the weeks and months after a disaster and include new onset of chronic diseases that are associated with loss of functioning and early mortality.
BACKGROUND: Among people affected by Hurricane Harvey, we assessed experiences and perceptions (e.g., knowledge, attitudes, and practices) regarding mold and its impact on health and elicited participants’ opinions about how to improve public health messaging about indoor mold after a large flooding event. METHODS: Houston Health Department conducted four focus groups with 31 Houston metropolitan area residents during January to March 2020, using a semi-structured discussion guide and federal communication materials about indoor mold. Drawing from a theoretical framework analysis, transcripts were grouped into relevant themes using inductive and deductive coding. RESULTS: Hurricane Harvey had a large impact on participants’ living standards, and widespread financial barriers to remediation led to long-term mold exposure for many participants. Knowledge about mold’s impact on health and proper mold clean-up practices varied, and clean-up behaviors did not commonly align with federal guidance. Participants generally preferred traditional forms of outreach, such as in-person, radio, and television announcements, to communicate public health messaging. CONCLUSIONS: More strategic dissemination of expanded public health educational materials about proper mold clean-up practices and the health risks of mold exposure following flooding events is needed.
OBJECTIVE: To study the pattern of ophthalmic emergencies after Hurricane Harvey (HH). DESIGN: A retrospective chart review. SETTING: University of Texas Medical Branch (UTMB) in Galveston, Texas. PARTICIPANTS: Patients who presented to UTMB emergency room (ER) during the month before (47 patients) and the month after (39 patients) HH landfall and were seen by the ophthalmology service. MAIN OUTCOME MEASURES: Ocular injuries before and after hurricane landfall were classified by duration of symptoms (acute, subacute, and chronic), type of injury (hurricane related, traumatic, and infectious), region of injury (corneal/anterior segment, glaucoma, vitreoretinal, orbital-oculoplastic, and neuro-ophthalmologic), and level of involvement of injury (limited to eye, a manifestation of systemic disease, and associated with other bodily injuries). RESULTS: Patient demographics were similar before and after the storm. Three direct hurricane-related injuries from rescue and cleanup activities were identified. Only patients with acute/subacute ophthalmic injuries presented after HH. A trend for more traumatic injuries (from 28 to 41 percent of patients), corneal/anterior segment injuries (from 38 to 46 percent of patients), and vitreoretinal injuries (from 17 to 23 percent of patients) was observed after HH. A greater proportion of patients presented with localized injuries limited to the eye (from 49 to 56 percent of patients). Fewer patients had ocular manifestations of systemic disease (from 38 to 31 percent of patients) after HH. None of the changing trends reached statistical significance. CONCLUSIONS: The low incidence of hurricane-related injuries was likely due to victims’ evacuation to surrounding nonimpacted areas and limited access to ER facilities within the affected area. ERs and eye care professionals should be prepared for future environmental disasters.
PURPOSE: Hurricane Maria is the most devastating natural phenomenon in the recent history of Puerto Rico. Due to its destructive path through the island, the Puerto Rico Trauma Center (PRTC) remained the only hospital managing orthopaedic trauma in the immediate post-disaster period. We investigated the impact of this hurricane on the orthopaedic trauma epidemiology in the PRTC. METHODS: We evaluated the admissions by the orthopaedic surgery service in terms of demographics, mechanisms of injury, and orthopaedic diagnoses for two months after the impact of Hurricane Maria (HM) on September 20, 2017. We compared our study group with the same two month period for two years prior (2015 and 2016) and after (2018 and 2019) as control periods. A p value of < 0.05 was considered statistically significant. RESULTS: We included 384 admissions from September 20 to November 20, 2017. The majority were males (63%) and had an average age of 54 years. The most-reported mechanism of injury was fall from standing height (FFSH), showing a significant increment compared with the control periods. Contrarily, motor vehicle accidents (MVA) showed a significant reduction. Among the orthopaedic diagnoses, the hip + pelvis category showed a significant decline within the study group. CONCLUSIONS: This study highlighted the impact of HM on the orthopaedic trauma epidemiology at the PRTC. Our findings provide valuable evidence to healthcare institutions to better prepare to manage the potential changes in the orthopaedic trauma epidemiology after a major atmospheric event.
Private wells can become contaminated with waterborne pathogens during flooding events; however, testing efforts focus almost exclusively on fecal indicator bacteria. Opportunistic pathogens (OPs), which are the leading cause of identified waterborne disease in the United States, are understudied in private wells. We conducted a quantitative polymerase chain reaction survey of Legionella spp., L. pneumophila, Mycobacterium spp., M. avium, Naegleria fowleri, and shiga toxin-producing Escherichia coli gene markers and total coliform and E. coli in drinking water supplied by private wells following the Louisiana Floods (2016), Hurricane Harvey (2017), Hurricane Irma (2017), and Hurricane Florence (2018). Self-reported well characteristics and recovery status were collected via questionnaires. Of the 211 water samples collected, 40.3% and 5.2% were positive for total coliform and E. coli, which were slightly elevated positivity rates compared to prior work in coastal aquifers. DNA markers for Legionella and Mycobacterium were detected in 54.5% and 36.5% of samples, with L. pneumophila and M. avium detected in 15.6% and 17.1%, which was a similar positivity rate relative to municipal system surveys. Total bacterial 16S rRNA gene copies were positively associated with Legionella and Mycobacterium, indicating that conditions that favor occurrence of general bacteria can also favor OPs. N. fowleri DNA was detected in 6.6% of samples and was the only OP that was more prevalent in submerged wells compared to non-submerged wells. Self-reported well characteristics were not associated with OP occurrence. This study exposes the value of routine baseline monitoring and timely sampling after flooding events in order to effectively assess well water contamination risks.
The COVID-19 pandemic has drastically affected our day-to-day life in the last few years. This problem becomes even more challenging when older adults are considered due to their less powerful immune system and vulnerability to infectious diseases, especially in Florida where 4.5 million people aged 65 and over reside. With its long coastline, large and rapidly growing of older adult population, and geographic diversity, Florida is also uniquely vulnerable to hurricanes, which significantly increases the associated risks of COVID-19 even further. This study investigates older adults’ evacuation-related concerns during COVID-19 using statistical analysis of a questionnaire conducted among 389 older adult Florida residents. The questionnaire includes questions concerning demographic information and older adults’ attitudes toward hurricane-induced evacuations during the COVID-19 pandemic. Ordered Probit regression models were developed to investigate the impacts of demographic parameters on older adults’ tendencies toward evacuating as well as their preferences to stay at home or shelter during the pandemic. The model results reveal that male participants felt safer to evacuate compared to females. Also, any decrease in the level of income was associated with an increase in the need for help for evacuation by 18%. Findings indicated that the participants who found the evacuation safe normally also had a positive attitude toward staying in their vehicle, hotel, or even shelters if maintaining social distance was possible. Emergency management policies can utilize these findings to enhance hurricane preparations for dealing with the additional health risks posed by the pandemic for older adults, a situation that could be exacerbated by the upcoming hurricane season in Florida.
OBJECTIVE: The increased risk of mental health disorders in the months and years following a natural disaster highlights the need for more immediate preventive intervention. The objective of the current study was to learn from a real-time implementation of a natural disaster response following the Hurricane Maria in Puerto Rico to identify strategies for providing mental health services immediately after a natural disaster. METHODS: Two focus groups were held with faculty (n = 6) and graduate students (n = 4) from a graduate psychology program at the Universidad Carlos Albizu, Centro Universitario Mayagüez. An additional key informant interview was conducted with two faculty member participants. Data were analyzed qualitatively using thematic analysis. RESULTS: The delivery of mental health services was organized into three major themes: (1) finding a way to communicate, (2) targeting key access points for outreach and centralization of resources, and (3) providing triaged mental health care based on level of need. CONCLUSIONS: Findings are used to guide recommendations for mental health response preparation in future natural disaster contexts.
In the third week of January 2022, the southern districts of Malawi were hit by Cyclone Ana. The worst affected areas were Chikwawa and Nsanje. Four weeks following Cyclone Ana, a rather smaller cyclone, Dumako, hit the same areas, causing more damage. The Partners in Health or Abwenzi Pa Za Umoyo, an international humanitarian nongovernmental organisation that provides primary health care (PHC), organised teams to join Chikwawa District Council – Health, providing PHC assistance in the most affected district (Chikwawa); these teams were joined by three senior residents in family medicine from Kamuzu University of Health Sciences.Contribution: From the experiences of the interventions reported here, it was learnt that a multidisciplinary team of PHC providers is the key to the success of the emergency PHC programmes in times of natural disasters. While immediate PHC may be important at the actual time of disaster, it was learnt that PHC is also very important for continuation of care for chronic conditions, antenatal clinics and other clinics that are interrupted by the disaster. The experiences emphasised the importance of involving the PHC physicians and other PHC cadres in planning PHC programmes in natural disaster-prone areas.
Climate change has been identified as one of the leading threats to human health in Southern Africa. Climate change-induced natural disasters often leave behind a trail of destruction characterized by multidimensional losses such as loss of infrastructure, physical health, and psychological health. Adolescents are among the most vulnerable groups during and after a natural disaster. This article presents findings of a research whose aim was to establish cyclone Idai-related losses and postdisaster coping strategies among adolescent survivors. Based on qualitative data collected from 15 participants in the Odzi community of Manicaland Province in Zimbabwe, the article reveals that participants experienced diverse disaster-related losses, such as loss of independence and sense of control over their lives and general life satisfaction. The study notes that the impact of disaster-related losses had a toll on adolescents’ psychological, social, and physical well-being. From the study, it is established that in the aftermath of natural disasters, adolescents adopted two-pronged coping strategies, namely, personal coping strategies that include positive thinking and self-talk, and the utilization of social support such as instrumental and counseling support. This study suggests, among other recommendations, school-based training to equip adolescents with personal coping strategies.
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.
INTRODUCTION: During a disaster, comprehensive, accurate, timely, and standardized health data collection is needed to improve patient care and support effective responses. In 2017, the World Health Organization (WHO) developed the Emergency Medical Team (EMT) Minimum Data Set (MDS) as an international standard for data collection in the context of disasters and public health emergencies. The EMT MDS was formally activated for the first time in 2019 during the response to Cyclone Idai in Mozambique. STUDY OBJECTIVE: The aim of this study was to analyze data collected through the EMT MDS during Cyclone Idai of 2019 and to identify the benefits of and opportunities for its future use. METHODS: The EMT MDS was used for data collection. All 13 international EMTs deployed from March 27 through July 12 reported data in accordance with the EMT MDS form. The collected data were analyzed descriptively. RESULTS: A total of 18,468 consultations, including delivery of 94 live births, were recorded. For children under-five and those five-years and older, the top five reasons for consultation were minor injuries (4.5% and 10.8%, respectively), acute respiratory infections ([ARI] 12.6% and 4.8%, respectively), acute watery diarrhea (18.7% and 7.7%, respectively), malaria (9.2% and 6.1%, respectively), and skin diseases (5.1% and 3.1%, respectively). Non-disaster-related health events accounted for 84.7% of the total health problems recorded. Obstetric care was among the core services provided by EMTs during the response. CONCLUSION: Despite of challenges, the EMT MDS reporting system was found to support the responses and coordination of EMTs. The role of the Mozambican Ministry of Health (MOH), its cooperation with EMTs, and the dedicated technical support of international organizations enabled its successful implementation.
On March 15, 2019, Cyclone Idai made landfall near the port city of Beira in central Mozambique causing significant casualties and serious damage to infrastructure. The Emergency Medical Team Type 2 – Italy Regione Piemonte (EMT2-ITA) was deployed approximately two weeks after the disaster to support the country in need, providing essential medical and surgical care.The EMT2-ITA staff was composed of 77 team members including two rotations and integrating local staff. A total of 1,121 patients (1,183 triage admissions) were treated during the 27 days of field hospital activity; among all the admissions, only few cases (17; 1%) were directly or indirectly attributed to the disaster event. Only three cases of cholera were confirmed and transferred to one of the treatment centers set up in Beira. The EMT2-ITA performed a total of 62 surgical operations (orthopedic, gynecological, general, and plastic surgery), of which more than one-half were elective procedures.The objective of this manuscript is to report the mission of the EMT2-ITA in Mozambique, raising interesting points of discussion regarding the impact of timing on the mission outcomes, the operational and clinical activities in the field hospital, and the great importance to integrate local staff into the team.
Beira, the biggest city of Mozambique’s Sofala province, was struck by Cyclone Idai on 14 March 2019, with devastating impacts. The floods along with the cyclone destroyed road infrastructure and health facilities and disrupted primary health care (PHC) service delivery. In addition, destruction of farmland and food stocks resulted in malnutrition; the abundance of water fostered the reproduction of mosquitos, exacerbating the burden of malaria; and problems with water and sanitation led to epidemics of cholera. The exact role and contribution of human-induced climate change is very difficult to quantify, but there is little doubt that climate change is driving more frequent and severe cyclones, such as Idai. Considering the current climatic changes, it is expected that climate hotspots such as Beira will only experience more frequent extreme weather events. In these settings, with high risks but low adaptive capacity, dedicated efforts are required to strengthen PHC with a focus on preparedness for disasters. This should entail community awareness and education, strengthening infrastructure and service provision, as well as collaboration with important stakeholders across other sectors.Contribution: Using a case study approach, this article contributes climate resilient PHC for better preparedness to service continuity.
This longitudinal flood-relief study assessed the impact of the March 2019 Cyclone Idai flood event on E. coli contamination of hand-pumped boreholes in Mulanje District, Malawi. It established the microbiological water-quality safety of 279 community supplies over three phases, each comprising water-quality survey, rehabilitation and treatment verification monitoring. Phase 1 contamination three months after Idai was moderate, but likely underestimated. Increased contamination in Phase 2 at 9 months and even greater in Phase 3, a year after Idai was surprising and concerning, with 40% of supplies then registering E. coli contamination and 20% of supplies deemed ‘unsafe’. Without donor support for follow-up interventions, this would have been missed by a typical single-phase flood-relief activity. Contamination rebound at boreholes successfully treated months earlier signifies a systemic problem from persistent sources intensified by groundwater levels likely at a decade high. Problem extent in normal, or drier years is unknown due to absence of routine monitoring of water point E. coli in Malawi. Statistical analysis was not conclusive, but was indicative of damaged borehole infrastructure and increased near-borehole pit-latrine numbers being influential. Spatial analysis including groundwater flow-field definition (an overlooked sector opportunity) revealed ‘hit-and-miss’ contamination of safe and unsafe boreholes in proximity. Hydrogeological control was shown by increased contamination near flood-affected area and in more recent recharge groundwater otherwise of good quality. Pit latrines are presented as credible e-coli sources in a conceptual model accounting for heterogeneous borehole contamination, wet season influence and rebound behavior. Critical to establish are groundwater level – flow direction, hand-pump plume draw, multiple footprint latrine sources – ‘skinny’ plumes, borehole short-circuiting and fast natural pathway (e.g. fracture flow) and other source influences. Concerted WASH (Water, Sanitation and Hygiene) sector investment in research and policy driving national water point based E. coli monitoring programs are advocated.
Strategic location of coastal areas across the world causes them to be prone to disaster risks. In the global south, the Indian coast is one of the most susceptible to oceanic extreme events, such as cyclones, storm surge and high tides. This study provides an understanding of the risk experienced (currently as well as back in 2001) by the districts along the Indian coastline by developing a quantitative risk index. In the process, it attempts to make a novel contribution to the risk literature by following the definition of risk as a function of hazard, exposure and vulnerability as stated in the most recent (Fifth) assessment report of the Intergovernmental Panel on Climate Change (IPCC). Indicators of bio-physical hazards (such as cyclones, storm surge, tides and precipitation), and socio-economic contributors of vulnerability (such as infrastructure, technology, finance and social nets) and exposure (space), are combined to develop an overall risk index at a fine administrative scale of district-level over the entire coastline. Further, the study employs a multi-attribute decision-making (MADM) method, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), to combine the contributing indicators and generate indices on hazard, exposure and vulnerability. The product of these three components is thereafter defined as risk. The results suggest that most districts of the eastern coast have higher risk indices compared to those in the west, and the risk has increased since 2001. The higher risk can be attributed to the higher hazard indices in the eastern districts which are aggravated by their higher vulnerability index values. This study is the first effort made to map risk for the entire coastline of India – which in turn has resulted in a new cartographic product at a district-scale. Such assessments and maps have implications for environmental and risk-managers as they can help identify the regions needing adaptive interventions.
OBJECTIVE: In recent times, increased rainfall from tropical cyclones due to climate change affects the agricultural sector, mainly the paddy fields. High windspeed with excessive rain causes lodging of paddy crops, which is difficult to harvest. Mechanized harvesting systems are ineffective in this situation due to waterlogging in the fields. Manual harvesting with a traditional sickle is the only way to harvest lodged crops to save food security crises and economic losses. Collecting the lodged paddy stems lying on the ground for harvesting manually is time-consuming and harvesters need to maintain an awkward posture for a prolonged period compared to harvesting un-lodged crops. METHODS: Seventy-five female harvesters aged 35-75 years were selected for the study from both lodged and un-lodged small-scale farming lands of Kerala, a southwestern coastal state of India. A comparative ergonomic assessment was conducted to measure body pain, perceived exertion, postural risks, and rate of production under both harvesting conditions. RESULTS: The harvesters reported significant higher rates of body pain, perceived exertion, high postural risks, and low productivity in lodged conditions compared to un-lodged condition. CONCLUSION: Harvesting lodged crops involves high risks with low productivity and needs immediate ergonomic design intervention for the well-being of the harvesters.
BACKGROUND: Hurricanes are the immediate ways that people experience climate impacts in the Caribbean. These events affect socio-ecological systems and lead to major disruptions in the healthcare system, having effects on health outcomes. In September 2017, Puerto Rico (PR) and the United States Virgin Islands (USVI) experienced one of the most catastrophic hurricane seasons in recent history (Hurricane Irma was a Category 5 and Hurricane Mar?¡a was a Category 4 when they hit PR). OBJECTIVE: This study examines environmental stressors experienced by women with gynecologic (GYN) cancers from PR and USVI who received oncologic cancer care in PR, in the aftermath of the hurricanes. METHODS: A descriptive qualitative study design was used to obtain rich information for understanding the context, barriers, knowledge, perspectives, risks, vulnerabilities, and attitudes associated to these hurricanes. We performed focus groups among GYN cancer patients (n = 24) and key-informant interviews (n = 21) among health-care providers and administrators. Interviews were conducted from December 2018-April 2019. RESULTS: Environmental health stressors such as lack of water, heat and uncomfortable temperatures, air pollution (air quality), noise pollution, mosquitos, and rats ranked in the top concerns among cancer patients and key-informants. CONCLUSIONS: These findings are relevant to cancer patients, decision-makers, and health providers facing extreme events and disasters in the Caribbean. Identifying environmental secondary stressors and the most relevant cascading effects is useful for decision-makers so that they may address and mitigate the effects of hurricanes on public health and cancer care.
OBJECTIVE: Community characteristics, such as collective efficacy, a measure of community strength, can affect behavioral responses following disasters. We measured collective efficacy 1 month before multiple hurricanes in 2005, and assessed its association to preparedness 9 months following the hurricane season. METHODS: Participants were 631 Florida Department of Health workers who responded to multiple hurricanes in 2004 and 2005. They completed questionnaires that were distributed electronically approximately 1 month before (6.2005-T1) and 9 months after (6.2006-T2) several storms over the 2005 hurricane season. Collective efficacy, preparedness behaviors, and socio-demographics were assessed at T1, and preparedness behaviors and hurricane-related characteristics (injury, community-related damage) were assessed at T2. Participant ages ranged from 21-72 (M(SD) = 48.50 (10.15)), and the majority were female (78%). RESULTS: In linear regression models, univariate analyses indicated that being older (B = 0.01, SE = 0.003, P < 0.001), White (B = 0.22, SE = 0.08, P < 0.01), and married (B = 0.05, SE = 0.02, p < 0.001) was associated with preparedness following the 2005 hurricanes. Multivariate analyses, adjusting for socio-demographics, preparedness (T1), and hurricane-related characteristics (T2), found that higher collective efficacy (T1) was associated with preparedness after the hurricanes (B = 0.10, SE = 0.03, P < 0.01; and B = 0.47, SE = 0.04, P < 0.001 respectively). CONCLUSION: Programs enhancing collective efficacy may be a significant part of prevention practices and promote preparedness efforts before disasters.
With accelerating climate change, US coastal communities are experiencing increased flood risk intensity, resulting from accelerated sea level rise and stronger storms. These conditions place pressure on municipalities and local residents to consider a range of new disaster risk reduction programs, climate resilience initiatives, and in some cases transformative adaptation strategies (e.g., managed retreat and relocation from highly vulnerable, low-elevation locations). Researchers have increasingly understood that these climate risks and adaptation actions have significant impacts on the quality of life, well-being, and mental health of urban coastal residents. We explore these relationships and define conditions under which adaptation practices will affect communities and residents. Specifically, we assess climate and environmental stressors, community change, and well-being by utilizing the growing climate change literature and the parallel social science literature on risk and hazards, environmental psychology, and urban geography work, heretofore not widely integrated into work on climate adaptation.
Bangladesh is repeatedly threatened by tropical storms and cyclones, exposing one-third of the total population of the country. As a preparedness measure, several cyclone shelters have been constructed, yet a large proportion of the coastal population, especially women, are unwilling to use them. Existing studies have demonstrated a range of concerns that discourage women from evacuating and have explored the limitations of the shelters, but the experiences of female evacuees have not been apparent in these stories. This study explores the lived-experiences of women in the cyclone shelters of Bangladesh and discusses their health and well-being as evacuees in the shelters. Nineteen women from three extremely vulnerable districts of coastal Bangladesh were interviewed. Seven research themes were identified from the participants’ narratives using van Manen’s thematic analysis process. The most salient theme, being understood (as a woman), portrayed the quintessential image of these women, which subsequently influenced their vulnerability as evacuees. The next themes-being a woman during crisis, being in a hostile situation, being fearful, being uncertain, being faithful, and being against the odds-focused on the incidents they lived through which affected their physical and mental health and the emotions they felt as evacuees. The paper offers a deep inquiry into women’s experiences of well-being in the shelters and recognizes the significance of women’s voices to improve their experiences as evacuees.
BACKGROUND: Early Identification of disaster victims with mental health problems may be useful, but information within a short period after a disaster is scarce in developing countries. This study examined anxiety, depression, and post-traumatic stress symptoms at 1 month following 2019 Cyclone Fani in Odisha, India. METHOD: Post-traumatic stress symptoms (PTSS) were assessed by the Primary care PTSD screen for DSM 5 (PC-PTSD-5), anxiety symptoms by the Generalised Anxiety Disorder (GAD-7), and depression by the Patient Health Questionnaire (PHQ-9). The survey included participants’ disaster experience e.g., evacuation, fear of death, injury, death in family, damage to house, difficulty for food, displacement, and effect on livelihood. RESULTS: Proportion of sample (n = 80) with probable PTSD was 42.9%, with severe anxiety was 36.7%, moderately severe depression was 16.5%, and severe depression was 3.8%. Suicidal cognitions were reported to increase by 14%. Comorbidity was common; with significant (P < 0.01) correlation between PTSS and anxiety (r = 0.69), depression (r = 0.596), and between anxiety and depression (r = 0.63). Damage of house and displacement were associated significantly with PTSD; evacuation and displacement with moderate and severe depression; and displacement with severe anxiety. No specific demographic factors were significantly linked to the psychiatric morbidities. CONCLUSION: A considerable proportion of victims had psychiatric morbidities at 1 month. Associated risk factors included housing damages, evacuation, and displacement, suggesting the need to improve the disaster-management process.
Age differences in posttraumatic stress disorder (PTSD) are widely researched, but findings remain inconclusive. The mixed findings may in part result from sampling participants exposed to different trauma types at different times. Here, we controlled for this issue by sampling participants exposed to the same devastating hurricane. A total of 1.5 months after Hurricane Florence (T1), we asked 174 adults living in two severely affected states to describe their hurricane experience and fill in measures of PTSD and event centrality. Then, 7 months after the hurricane (T2), participants were reinvited to the survey, and 98 filled in the same questionnaire. The hurricane descriptions were coded for level of exposure severity. When controlling for trauma characteristics, including level of severity, younger age significantly predicted PTSD at T1 but not T2. When also controlling for event centrality, younger age predicted PTSD at both measurement times. Moreover, from T1 to T2, young adults significantly increased how severely they described their hurricane experience to be, whereas such amplification was absent in the older age groups. Overall, the findings provide some evidence that younger age increase vulnerability for PTSD and increase the perception of trauma severity over time.
OBJECTIVE: This study was undertaken to assess the health status of newborns discharged from Sick Newborn Care Units (SNCU) of the Cyclone Fani affected districts of Odisha, which is amongst the highest neonatal mortality rate states in the country. METHODS: Cyclone Fani hit the coast of Odisha on May 3, 2019. This cross-sectional study was conducted in 5 districts and targeted the babies discharged from SNCU’s from January to May 2019. A telephonic interview of the caregivers was conducted to assess the health status of the newborns. Data was collected in a web-based portal and analyzed by statistical package for social sciences SPSS (IBM Corp., Armonk, New York, USA). RESULTS: We inquired about 1840 babies during the study period but only 875 babies could be followed up, with the highest proportion of the babies from the most affected district. Out of 875 babies, 111 (12.7%) had 1 or more illnesses during follow up. Distance from the health facility and time constraints were the major reasons for not seeking health care. Of the babies, 35.7% were reported as being underweight. Poor breastfeeding (14.1%) and kangaroo mother care (31.7%) practices were reported. Only 32% of the babies were completely immunized. CONCLUSION: The health status of the babies discharged from the SNCUs was found to be poor. Newborn care can be strengthened by improving home-based and facility-based newborn care.
Cyclone Amphan battered the coastal communities in the southwestern part of Bangladesh in 2020 during the COVID-19 pandemic. These coastal communities were experiencing such a situation for the first time and faced the dilemma of whether to stay at home and embrace the cyclone or be exposed to the COVID-19 virus in the cyclone shelters by evacuating. This article intends to explore individuals’ decisions regarding whether to evacuate in response to cyclone Amphan and in light of the risks of the COVID-19 pandemic. Consequently, this study investigated evacuation behaviors among the households and explored the impacts of COVID-19 during the evacuation procedures. We conducted household surveys to collect primary information and undertook 378 samples for interviews at a precision level of 0.05 in fourteen villages. Despite the utmost effort of the government, the results demonstrated that 96.6% of people in the coastal area received a cyclone evacuation order before the cyclone’s landfall, and only 42% of people followed the evacuation order. The majority of households chose to stay at home because of fear of COVID-19 exposure in the crowded shelters. Although half of the evacuees were housed in cyclone shelters, COVID-19 preventive measures were apparently not set in place. Thus, this study will assist in crafting future government policies to enhance disaster evacuation plans by providing insights from the pandemic that can inform disaster management plans in the Global South.
Some communities recover more quickly after a disaster than others. Some differentials in recovery are explained by variation in the level of disaster-related community damage and differences in pre-disaster community characteristics, e.g., the quality of housing stock. But distinct communities that are similar on the above characteristics may experience different recovery trajectories, and, if so, these different trajectories must be due to more subtle differences among them. Our principal objective is to assess short-term and long-term post-disaster mental health for Vietnamese and African Americans living in two adjacent communities in eastern New Orleans that were similarly flooded by Hurricane Katrina. We employ data from two population-based cohort studies that include a sample of African American adults (the Gulf Coast Child and Family Health [GCAFH study]) and a sample of Vietnamese American adults (Katrina Impacts on Vietnamese Americans [KATIVA NOLA study]) living in adjacent neighborhoods in eastern New Orleans who were assessed near the second and thirteenth anniversaries of the disaster. Using the 12-Item Short Form Survey (SF-12) as the basis of our outcome measure, we find in multivariate analysis a significant advantage in post-disaster mental health for Vietnamese Americans over their African American counterparts at the two-year mark, but that this advantage had disappeared by the thirteenth anniversary of the Katrina disaster.
IMPORTANCE: Tropical cyclones have a devastating effect on society, but a comprehensive assessment of their association with cause-specific mortality over multiple years of study is lacking. OBJECTIVE: To comprehensively evaluate the association of county-level tropical cyclone exposure and death rates from various causes in the US. DESIGN, SETTING, AND PARTICIPANTS: A retrospective observational study using a Bayesian conditional quasi-Poisson model to examine how tropical cyclones were associated with monthly death rates. Data from 33.6 million deaths in the US were collected from the National Center for Health Statistics over 31 years (1988-2018), including residents of the 1206 counties in the US that experienced at least 1 tropical cyclone during the study period. EXPOSURES: Tropical cyclone days per county-month, defined as number of days in a month with a sustained maximal wind speed 34 knots or greater. MAIN OUTCOMES AND MEASURES: Monthly cause-specific county-level death rates by 6 underlying causes of death: cancers, cardiovascular diseases, infectious and parasitic diseases, injuries, neuropsychiatric conditions, and respiratory diseases. The model yielded information about the association between each additional cyclone day per month and monthly county-level mortality compared with the same county-month in different years, up to 6 months after tropical cyclones, and how these estimated associations varied by age, sex, and social vulnerability. The unit of analysis was county-month. RESULTS: There were 33 619 393 deaths in total (16 691 681 females and 16 927 712 males; 8 587 033 aged 0-64 years and 25 032 360 aged 65 years or older) from the 6 causes recorded in 1206 US counties. There was a median of 2 tropical cyclone days experienced in total in included US counties. Each additional cyclone day was associated with increased death rates in the month following the cyclone for injuries (3.7% [95% credible interval {CrI}, 2.5%-4.9%]; 2.0 [95% CrI, 1.3-2.7] additional deaths per 1 000 000 for 2018 monthly age-standardized median rate [DPM]; 54.3 to 56.3 DPM), infectious and parasitic diseases (1.8% [95% CrI, 0.1%-3.6%]; 0.2 [95% CrI, 0.0-0.4] additional DPM; 11.7 to 11.9 DPM), respiratory diseases (1.3% [95% CrI, 0.2%-2.4%]; 0.6 [95% CrI, 0.1-1.1] additional DPM; 44.9 to 45.5 DPM), cardiovascular diseases (1.2% [95% CrI, 0.6%-1.7%]; 1.5 [95% CrI, 0.8-2.2] additional DPM; 129.6 to 131.1 DPM), neuropsychiatric conditions (1.2% [95% CrI, 0.1%-2.4%]; 0.6 [95% CrI, 0.1-1.2] additional DPM; 52.1 to 52.7 DPM), with no change for cancers (-0.3% [95% CrI, -0.9% to 0.3%]; -0.3 [95% CrI, -0.9 to 0.3] additional DPM; 100.4 to 100.1 DPM). CONCLUSIONS AND RELEVANCE: Among US counties that experienced at least 1 tropical cyclone from 1988-2018, each additional cyclone day per month was associated with modestly higher death rates in the months following the cyclone for several causes of death, including injuries, infectious and parasitic diseases, cardiovascular diseases, neuropsychiatric conditions, and respiratory diseases.
The COVID-19 pandemic has created new workforce considerations for emergency management community in addressing cumulative and cascading disasters. This research identifies how emergency management planning for both the changing dynamics of COVID-19 and the upcoming hurricane season may change under a compound threat. Many jurisdictions have faced challenges in providing adequate staffing of shelters before the pandemic. Now, fatigue among staff further exacerbates these challenges as resources are stretched thin. Six workshops, involving 265 national, state, and local leaders, staff, experts, and advocates from 22 states, and a range of disciplines (disaster planning, public health, social services, academia, and healthcare), were convened to identify concerns and potential strategies to address staffing, training, logistics, and support. Strategies proposed to increase the number and skill set of staff available involve increased reliance upon volunteers and nonprofit organizations. Mental health resources, personal protective equipment, sanitation supplies, and defining roles within emergency shelters were recommended to reduce fatigue and redistribute responsibilities. Findings illuminate additional research avenues regarding assessing the underlying stressors contributing to the planning process and effective means of implementing these interventions to bolster emergency management shelter operations during a prolonged pandemic and in the future.
IMPORTANCE: As public health emergencies become more prevalent, it is crucial to identify adverse physical and mental health conditions that may be triggered by natural disasters. There is a lack of data on whether Hurricane Maria in 2017 influenced the disease burden of adults in Puerto Rico. OBJECTIVE: To estimate the prevalence of chronic diseases and their associated risk factors among adults living in Puerto Rico before and after Hurricane Maria in 2017. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study used data from 2 previous cross-sectional studies, including the pre-Hurricane Maria Puerto Rico Assessment on Diet, Lifestyles and Disease (PRADLAD) study, conducted in 2015, and the post-Hurricane Maria Puerto Rico Observational Study of Psychosocial, Environmental, and Chronic Disease Trends (PROSPECT), conducted in 2019. Participants included adults aged 30 to 75 years residing in Puerto Rico. Data were analyzed from April to October 2020. EXPOSURES: Self-reported data were obtained on sociodemographic, lifestyle, and psychosocial factors and medically diagnosed conditions using validated questionnaires. Anthropometrics were measured in triplicate. MAIN OUTCOMES AND MEASURES: Data were obtained using similar protocols in both studies. Characteristics were contrasted for all participants across studies and for 87 PRADLAD participants who returned to PROSPECT. RESULTS: A total of 825 participants from both cohorts were included, with 380 PRADLAD participants and 532 PROSPECT participants. In the 2019 PROSPECT study, the mean (SD) age was 53.7 (10.8) years, and 363 participants (68.2%) were assigned female at birth and 169 participants (31.8%) were assigned male at birth. In the 2019 cohort, 360 participants (67.7%) had college education or higher, 205 participants (38.5%) reported annual income greater than $20 001, and 263 participants (49.5%) were employed. Most sociodemographic variables were similar between studies, except for higher income and employment after the hurricane. In the main analysis, participants in 2019, compared with participants in 2015, had higher abdominal obesity (389 participants [73.2%] vs 233 participants [61.3%]), sedentarism (236 participants [44.4%] vs 136 participants [35.8%]), binge drinking (95 participants [17.9%] vs 46 participants [12.1%]), and social support (mean [SD] score, 26.9 [7.2] vs 24.7 [7.1]) but lower depressive symptoms (169 participants [31.7%] vs 200 participants [52.6%]) and perceived stress (mean [SD] score, 19.3 [9.5] vs 21.7 [7.7]). In 2019, compared with 2015, there were higher rates of hypertension (252 participants [47.3%] vs 149 participants [39.2%]), arthritis (172 participants [32.3%] vs 97 participants [25.6%]), high cholesterol (194 participants [36.4%] vs 90 participants [23.8%]), high triglycerides (123 participants [23.1%] vs 56 participants [14.7%]), eye disease (94 participants [17.6%] vs 48 participants [12.7%]), fatty liver disease (68 participants [12.8%] vs 29 participants [7.5%]), and osteoporosis (74 participants [13.9%] vs 20 participants [5.2%]). Secondary analysis for the 87 returning participants showed similar results. CONCLUSIONS AND RELEVANCE: In this cross-sectional study, a higher prevalence of unhealthy behaviors and chronic conditions was noted among adults in Puerto Rico after Hurricane Maria, warranting long-term studies. Psychosocial factors were better, but still need attention. As natural disasters intensify, efforts should focus on continuous surveillance of health outcomes and promoting healthy behaviors, positive emotional health, and disease control, particularly in populations with higher risk for poor health.
OBJECTIVE: This study aimed to characterize ophthalmology consultations ordered after Hurricane Harvey compared to consultations ordered during the same time period of the prior year. METHODS: A retrospective chart review was performed at an urban, level 1 trauma center of a county hospital. All patients were included who received an electronic health record, documented ophthalmology consultation order between September 2017 and October 2017 (the time period immediately following Hurricane Harvey) or September 2016 and October 2016. Patient demographic risk factors were collected. Patient ICD10 clinical diagnoses were categorized as extraocular, intraocular, infectious, physiological, or other, and then subcategorized as trauma or non-trauma-related. A geographical heat map was generated to compare the changes in diagnosis volume by zip code to the magnitude of rainfall in the county. RESULTS: Following Hurricane Harvey, ophthalmology consultation volume decreased, number of infectious ophthalmology diagnoses increased (P < 0.001), percentage of patients on immunosuppression increased (P < 0.001), and the number of private insurance payers increased while the number of county-funded insurance payers decreased (P = 0.003). CONCLUSIONS: The risk of infectious eye diagnosis was double the risk of traumatic eye diagnosis from Hurricane Harvey flooding. During public disaster planning, different ophthalmological medical resources and responses should be considered for flooding versus high-wind events.
COVID-19 is not the first, nor the last, public health challenge the US political system has faced. Understanding drivers of governmental responses to public health emergencies is important for policy decision-making, planning, health and social outcomes, and advocacy. We use federal political disaster-aid debates to examine political factors related to variations in outcomes for Puerto Rico, Texas, and Florida after the 2017 hurricane season. Despite the comparable need and unprecedented mortality, Puerto Rico received delayed and substantially less aid. We find bipartisan participation in floor debates over aid to Texas and Florida, but primarily Democrat participation for Puerto Rican aid. Yet, deliberation and participation in the debates were strongly influenced by whether a state or district was at risk of natural disasters. Nearly one-third of all states did not participate in any aid debate. States’ local disaster risk levels and political parties’ attachments to different racial and ethnic groups may help explain Congressional public health disaster response failures. These lessons are of increasing importance in the face of growing collective action problems around the climate crisis and subsequent emergent threats from natural disasters.
In September 2017, Hurricane Maria devastated Puerto Rico, causing extensive infrastructure damage and a significant number of deaths. In the months and years since, recovery from Maria has been slow, hampered by delayed delivery of fiscal aid, corruption, economic hardships, and Puerto Rico’s colonial status. Simultaneously, Puerto Rico’s population is rapidly aging and hundreds of thousands of mostly younger Puerto Ricans are migrating out of Puerto Rico for more opportunities. Many Puerto Ricans who are older or disabled and need long-term care receive this care in home-based environments, as Puerto Rico has minimal institutionalized long-term care infrastructure and limited funding to expand it. The Department of Veterans Affairs (VA) offers several home-based long-term care options for Veterans in Puerto Rico. In this qualitative case study, veterans, VA staff, veterans’ caregivers, caregivers’ family members, and veterans’ family members receiving or involved with providing this care were interviewed regarding their experiences during and after Hurricane Maria. Specifically, this study highlights how social determinants of health of those residing in or involved with VA home-based long-term care programs influenced recovery from Hurricane Maria, and how findings can inform disaster recovery and provision of home-based long-term care going forward.
OBJECTIVE: The aim of this study was to examine birth outcomes in areas affected by Hurricane Michael. METHODS: Vital statistics data of 2017-2019 were obtained from the state of Florida. Births occurring in the year before and after the date of Hurricane Michael (October 7, 2018) were used. Florida counties were divided into 3 categories reflecting extent of impact from Hurricane Michael. Birth outcomes including incidence of preterm birth (PTB), low birth weight (LBW), and small for gestational age (SGA) were also compared before and after Hurricane Michael. Spontaneous and indicated PTBs were distinguished based on previously published algorithms. Multiple regression was used to control for potential confounders. RESULTS: Both LBW (aRR 1.19, 95% CI: 1.07, 1.32) and SGA (aRR 1.11, 95% CI: 1.01, 1.21) were higher in the year after Michael than the year before in the most-affected area; a similar effect was not seen in other areas. A stronger effect was seen for exposure in the first trimester or in the 2 months after Michael than in the second or third trimester. CONCLUSION: Consistent with many previous studies, this study of Hurricane Michael found an effect on fetal growth.
BACKGROUND: Hurricanes are severe weather events that can disrupt power, water, and transportation systems. These disruptions may be deadly for patients requiring maintenance dialysis. We hypothesized that the mortality risk among patients requiring maintenance dialysis would be increased in the 30 days after a hurricane. METHODS: Patients registered as requiring maintenance dialysis in the United States Renal Data System who initiated treatment between January 1, 1997 and December 31, 2017 in one of 108 hurricane-afflicted counties were followed from dialysis initiation until transplantation, dialysis discontinuation, a move to a nonafflicted county, or death. Hurricane exposure was determined as a tropical cyclone event with peak local wind speeds ≥64 knots in the county of a patient’s residence. The risk of death after the hurricane was estimated using time-varying Cox proportional hazards models. RESULTS: The median age of the 187,388 patients was 65 years (IQR, 53-75) and 43.7% were female. There were 27 hurricanes and 105,398 deaths in 529,339 person-years of follow-up on dialysis. In total, 29,849 patients were exposed to at least one hurricane. Hurricane exposure was associated with a significantly higher mortality after adjusting for demographic and socioeconomic covariates (hazard ratio, 1.13; 95% confidence interval, 1.05 to 1.22). The association persisted when adjusting for seasonality. CONCLUSIONS: Patients requiring maintenance dialysis have a higher mortality risk in the 30 days after a hurricane.
OBJECTIVE: The devastation of pharmaceutical production facilities from Hurricane Maria caused a national shortage of parenteral amino acids in October 2017. Our institution decreased trophamine in very low birth weight (VLBW) infants and initiated human milk fortification at a lower feeding volume to increase enteral protein intake more quickly. The objective of this study was to assess how protein management during the shortage period affected the incidence of malnutrition. METHODS: This was a retrospective cohort study of infants admitted to 2 neonatal intensive care units from June 1, 2017 to May 31, 2018. Infants between 23 and 32 weeks’ gestation were included in this study. The primary outcome was the incidence of malnutrition at 14 days, defined as a z score decline of ≥0.8 SDs, in the pre-shortage period compared with the shortage period. Clinical data regarding adverse effects associated with early fortification and pharmacy costs were recorded. RESULTS: There were 68 infants prior to and 65 during the shortage who met inclusion criteria. There was no difference in malnutrition between the pre-shortage and shortage groups; however, a significant increase in malnutrition was observed in infants who did not receive early fortification during the shortage. No difference in time to full enteral feeds or necrotizing enterocolitis was observed with early fortification. CONCLUSIONS: Early fortification in VLBW infants receiving less trophamine during the shortage was not associated with an increase in malnutrition. Restricting trophamine in neonates during the shortage allowed for distribution to other critically ill patients.
BACKGROUND: Prior to the introduction of intravenous (IV) drip infusion, most IV drugs were delivered in a syringe bolus push. However, intravenous drip infusions subsequently became the standard of care. Puerto Rico is the largest supplier of IV fluid bags and in the aftermath of Hurricane Maria, there was a nationwide fluid bag shortage. This shortage required stewardship measures to maintain the operation of the self-administered outpatient parenteral antimicrobial therapy (OPAT) program at Parkland Health. METHODS: Parkland pharmacists evaluated all self-administered antimicrobials for viability of administration as an IV syringe bolus push (IVP) instead of an IV-drip infusion. Medications deemed appropriate were transitioned to IVP. The hospital EMR was used to identify patients discharged to the OPAT clinic using all methods of parenteral drug delivery. Data was collected for patient demographics, patient satisfaction, and clinical outcomes. Finally cost of care was calculated for IVP and IV drip administration. RESULTS: One-hundred and thirteen self-administered IVP and 102 self-administered IV drip treatment courses were identified during the study period. Individuals using IVP had a statistically significant decrease in hospital length of stay. Patient satisfaction was greater with IVP and IVP saved 504 liters of normal saline resulting in a savings of $43,652 over 6 months. The 30-day readmission rate and mortality were similar. CONCLUSION: The abrupt IV fluid shortage following a natural disaster led to implementation of a high value care model that improved efficiency, reduced costs, and did not affect safety or efficacy.
BACKGROUND: Large-scale power outages (PO) are increasing in the context of climate change. Although some research has been conducted into the adverse health impacts of POs, significant gaps remain regarding whether POs would affect the health of pregnant women. We investigated the association between ED visits due to pregnancy complications and the occurence, intensity, and duration of large-scale POs in eight Sandy-affected counties in New York State (NYS). METHODS: In this cross-sectional study, daily ED visits for pregnancy complications and large-scale PO data in eight counties in NYS from October to December in 2005-2014 were collected. Using time-series analysis, we estimated the relative increase in ED visits for pregnancy complications during POs compared with non-PO periods at lag 0-7 days. Short-term health impacts of PO intensity and PO duration were investigated. Estimations were also stratified by sociodemographic characteristics and disease subtypes including threatened or spontaneous abortion, threatened or early labor, hypertension complications, infections of genitourinary tract, renal diseases, gestational diabetes mellitus, mental illnesses, and cardiovascular diseases during pregnancy. RESULTS: From October to December in 2005-2014, there were 307,739 ED visits for pregnancy complications in the eight counties. We found significant increases in ED visits for overall pregnancy complications (16.6%, 95% confidence interval [CI]: 10.3%, 23.2%) during the Hurricane-PO period at lag 0-7 days. The ED visits increased by 8.8% per level increase in PO intensity and 1.4% per day increase in PO duration. Specifically, threatened/early delivery and gestational diabetes mellitus during the PO period increased by 26.7% (95% CI: 8.2%, 48.4%) and 111.8% (95% CI: 16.7%, 284.4%), respectively. Young adult, Black, Hispanic, and uninsured individuals were at higher risk of complications. CONCLUSIONS: POs may adversely impact pregnancy, especially for certain pregnancy complications and among low sociodemographic women.
The U.S. 2020 hurricane season was extraordinary because of a record number of named storms coinciding with the COVID-19 pandemic. This study draws lessons on how individual hurricane preparedness is influenced by the additional risk stemming from a pandemic, which turns out to be a combination of perceptions of flood and pandemic risks that have opposite effects on preparedness behavior. We conducted a survey in early June 2020 of 600 respondents in flood-prone areas in Florida to obtain insights into households’ risk perceptions and preparedness for the upcoming hurricane season under COVID-19. The results show that concerns over COVID-19 dominated flood risk perceptions and negatively impacted people’s evacuation intentions. Whereas hotel costs were the main obstacle to evacuating during Hurricane Dorian in 2019 in the same geographic study area, the main evacuation obstacle identified in the 2020 hurricane season is COVID-19. Our statistical analyses investigating the factors influencing evacuation intentions show that older individuals are less likely to evacuate under a voluntary order, because they are more concerned about the consequences of becoming infected by COVID-19. We observe similar findings based on a real-time survey we conducted in Florida with another group of respondents under the threat of Hurricane Eta at the end of the hurricane season in November 2020. We discuss the implications of our findings for risk communication and emergency management policies that aim to improve hurricane preparedness when dealing with additional health risks such as a pandemic, a situation that may be exacerbated under the future climate. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11069-021-05064-2.
RATIONALE: In the weeks and months following a disaster, acute illness and injuries requiring hospital admission increase. It is not known whether disaster exposure is associated with increased risk for hospitalization in the years after a disaster. OBJECTIVE: We examined the extent to which disaster exposure is associated with hospitalization two years after Hurricane Sandy. The analyses fill a clinical gap in our understanding of long-term physical health consequences of disaster exposure by identifying older adults at greatest risk for hospitalization two years after disaster exposure. METHOD: Survey data from a longitudinal panel study collectedbefore and after Hurricane Sandy were linked with Medicare inpatient files in order to assess the impact of Hurricane Sandy on hospital admissions two years following the hurricane. RESULTS: We found that people who reported experiencing a lot of fear and distress in the midst of Hurricane Sandy were at an increased risk of being hospitalized two years after the hurricane [Hazard Ratio = 1.75; 95% CI (1.12-2.73)]. Findings held after controlling for pre-disaster demographics, social risks, chronic conditions, hospitalizations during the year before the hurricane, and decline in physical functioning. CONCLUSIONS: These findings are the first to show that disaster exposure increases the risk for hospital admissions two years after a disaster. Controlling for known risk factors for hospitalization, older adults who experience high levels of fear and distress during a disaster are more likely to be hospitalized two years following the disaster than older adults who do not have this experience.
The 2020 hurricane season threatened millions of Americans concurrently grappling with COVID-19. Processes guiding individual-level mitigation for these conceptually distinct threats, one novel and chronic (COVID-19), the other familiar and episodic (hurricanes), are unknown. Theories of health protective behaviors suggest that inputs from external stimuli (e.g., traditional and social media) lead to threat processing, including perceived efficacy (self- and response) and perceived threat (susceptibility and severity), guiding mitigation behavior. We surveyed a representative sample of Florida and Texas residents (N = 1846) between April 14, 2020 and April 27, 2020; many had previous hurricane exposure; all were previously assessed between September 8, 2017 and September 11, 2017. Using preregistered analyses, two generalized structural equation models tested direct and indirect effects of media exposure (traditional media, social media) on self-reported (1) COVID-19 mitigation (handwashing, mask-wearing, social distancing) and (2) hurricane mitigation (preparation behaviors), as mediated through perceived efficacy (self- and response) and perceived threat (susceptibility and severity). Self-efficacy and response efficacy were associated with social distancing (p = .002), handwashing, mask-wearing, and hurricane preparation (ps < 0.001). Perceived susceptibility was positively associated with social distancing (p = 0.017) and hurricane preparation (p < 0.001). Perceived severity was positively associated with social distancing (p < 0.001). Traditional media exhibited indirect effects on COVID-19 mitigation through increased response efficacy (ps < 0.05), and to a lesser extent self-efficacy (p < 0.05), and on hurricane preparation through increased self-efficacy and response efficacy and perceived susceptibility (ps < 0.05). Social media did not exhibit indirect effects on COVID-19 or hurricane mitigation. Communications targeting efficacy and susceptibility may encourage mitigation behavior; research should explore how social media campaigns can more effectively target threat processing, guiding protective actions.
Background: Nursing home (NH) residents are vulnerable to increased mortality after a natural disaster such as hurricanes but the specific vulnerability of NH residents on hospice and the impact on admission to hospice are unknown. Objectives: Exposure to Hurricane Irma (2017) was used to evaluate increased mortality among Florida NH residents by hospice status compared with the same time period in a nonhurricane year. Difference in hospice utilization rates poststorm for short- and long-stay NH residents was also examined. Setting/Subjects: Subject were all Florida NH residents of age 65 years and older utilizing fee-for-service Medicare claims data exposed to Hurricane Irma in 2017 compared with a control group of residents residing at the same NHs in 2015. Analysis: Mortality rates were calculated by hospice status, rates of hospice enrollment, and the corresponding odds ratios (ORs). Results: Hurricane exposure was associated with an increase in mortality 30 days poststorm (OR = 1.12, 95% confidence interval [CI]: 1.00-1.26) but not 90 days poststorm (OR = 1.02, 95% CI: 0.95-1.10) for residents on hospice. For the rate of hospice enrollment poststorm among residents previously not on hospice, there was an increase in odds of enrollment among long-stay residents in 30 days (OR = 1.15, 95% CI: 1.02-1.23) and 90 days (OR = 1.12, 95% CI: 1.05-1.20) but not short-stay residents within 30 (OR = 1.02, 95% CI: 0.91-1.15) and 90 days (OR = 1.07, 95% CI: 0.99-1.15). Conclusion: Mortality in NH residents on hospice care increased in the aftermath of Hurricane Irma. In addition, NH residents not on hospice were more likely to be referred to hospice in the 30 days after the storm.
OBJECTIVES: To determine death occurrences of Puerto Ricans on the mainland USA following the arrival of Hurricane Maria in Puerto Rico in September 2017. DESIGN: Cross-sectional study. PARTICIPANTS: Persons of Puerto Rican origin on the mainland USA. EXPOSURES: Hurricane Maria. MAIN OUTCOME: We use an interrupted time series design to analyse all-cause mortality of Puerto Ricans in the USA following the hurricane. Hispanic origin data from the National Vital Statistics System and from the Public Use Microdata Sample of the American Community Survey are used to estimate monthly origin-specific mortality rates for the period 2012-2018. We estimated log-linear regressions of monthly deaths of persons of Puerto Rican origin by age group, gender, and educational attainment. RESULTS: We found an increase in mortality for persons of Puerto Rican origin during the 6-month period following the hurricane (October 2017 through March 2018), suggesting that deaths among these persons were 3.7% (95% CI 0.025 to 0.049) higher than would have otherwise been expected. In absolute terms, we estimated 514 excess deaths (95% CI 346 to 681) of persons of Puerto Rican origin that occurred on the mainland USA, concentrated in those aged 65 years or older. CONCLUSIONS: Our findings suggest an undercounting of previous deaths as a result of the hurricane due to the systematic effects on the displaced and resident populations in the mainland USA. Displaced populations are frequently overlooked in disaster relief and subsequent research. Ignoring these populations provides an incomplete understanding of the damages and loss of life.
BACKGROUND: Little is known about the impact of the ecosystem disruption and its contribution on the non-tuberculosis mycobacteria (NTM) diseases (cases) rate in Florida (FL), a state with a high prevalence of NTM in the United States. We aimed to evaluate the epidemiological distribution of NTM in FL and identify its association with extreme weather events. METHODS: We used OneFlorida Clinical Research Consortium dataset and extracted data on NTM cases using ICD codes 9- CM 031.0 and ICD-10 A31 during 2012-2018. The number of hurricanes during the study period which affected FL were extracted data from the National Hurricane Center (NHC) and the National Oceanic and Atmospheric Administration (NOAA). RESULTS: Prevalence of NTM gradually increased during the study period. The rate was 2012: 14.3/100,000, 2015; 20.1/100,000 and 2018; 22.6/100,00 except in 2014 where there was an 8% decrease. The incidences were 2012; 6.5/100,00, 2015; 4.9/100,000 and in 2015; 5.4/100,000. Geographical analysis demonstrated a gradual expansion of the NTM cases in Alachua, and Marion Counties throughout the study period. Notably, the 2018 heat map showed higher prevalence of NTM in the northwestern, panhandle region of FL which had been absent in the heat maps for years 2012-2018. High number of the hurricanes was associated with the higher number of the new cases of NTM infection for years 2012, 2016-2018, while the lower number of the hurricanes was associated with the lower number of the new cases of NTM infection for years 2014-2015. CONCLUSION: The current study found the prevalence rates of NTM disease in FL rose from 2012 to 2018. A higher prevalence was seen following the hurricanes..
Climate change-induced disasters are increasing in intensity and frequency in the United States. Infant feeding in the aftermath of an extreme event is particularly challenging, especially given large variations in community vulnerability and resilience. The aim of this study was to identify the physical, social, and spatial vulnerabilities of communities along the Gulf Coast and highlight locations where high (or low) breastfeeding initiation rates have the potential to offset (or exacerbate) infant feeding challenges in the wake of a disaster. We structured this study as a retrospective, spatial data analysis of breastfeeding initiation, the risk for extreme events, social vulnerability, and community resilience to uncover locations that may need post-disaster intervention. The results suggested that significant gaps in the geographic distribution of community risk, vulnerability, resilience, and breastfeeding initiation existed. While many metropolitan areas benefitted from high breastfeeding initiation rates, they were also the most “at risk” for disasters. Conversely, many rural communities faced less risk for extreme events but exhibited more social vulnerability and less resilience should a disaster strike. Prioritizing emergency response resources to support infant feeding after a disaster is critically important, but urban and rural communities have divergent profiles that will require variable strategies to ensure recovery. Our results highlight this variability and provide prescriptive guidance regarding where to potentially allocate emergency resources.
Strategic preparedness reduces the adverse health impacts of hurricanes and tropical storms, referred to collectively as tropical cyclones (TCs), but its protective impact could be enhanced by a more comprehensive and rigorous characterization of TC epidemiology. To generate the insights and tools necessary for high-precision TC preparedness, we introduce a machine learning approach that standardizes estimation of historic TC health impacts, discovers common patterns and sources of heterogeneity in those health impacts, and enables identification of communities at highest health risk for future TCs. The model integrates (i) a causal inference component to quantify the immediate health impacts of recent historic TCs at high spatial resolution and (ii) a predictive component that captures how TC meteorological features and socioeconomic/demographic characteristics of impacted communities are associated with health impacts. We apply it to a rich data platform containing detailed historic TC exposure information and records of all-cause mortality and cardiovascular- and respiratory-related hospitalization among Medicare recipients. We report a high degree of heterogeneity in the acute health impacts of historic TCs, both within and across TCs, and, on average, substantial TC-attributable increases in respiratory hospitalizations. TC-sustained windspeeds are found to be the primary driver of mortality and respiratory risks.
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.
BACKGROUND: Hurricane Maria, which hit Puerto Rico in 2017, catastrophically impacted infrastructure and severely disrupted medical services. The US Department of Veterans Affairs Caribbean Healthcare System (VA CHCS), which serves approximately 67,000 patients and has most of its facilities on the island of Puerto Rico, was able to successfully maintain operations after the hurricane. As a part of the larger VA system, VA CHCS also has a mission to support “national, state, and local emergency management, public health, safety and homeland security efforts.” The objective of this study is to better understand the ways VA and its facilities meet this mission by exploring how VA CHCS acted as a community resource following Hurricane Maria. METHODS: This study investigated experiences of five employees in critical emergency response positions for VA CHCS, Veterans Integrated Service Networks (VISN) 8, and the Office of Emergency Management. All respondents were interviewed from March to July 2019. Data were collected via semistructured interviews exploring participants’ experiences and knowledge about VA’s activities provided to the community of Puerto Rico following Hurricane Maria. Data were analyzed using thematic and in vivo coding methods. RESULTS: All respondents underscored VA’s primary mission after a disaster was to maintain continuity of care to Veterans, while concomitantly describing the role of VA in supporting community recovery. Three major themes emerged: continuity of operations for the San Juan VA Medical Center (VAMC) and its affiliated outpatient clinics, provision of services as a federal partner, and services provided directly to the Puerto Rican community. DISCUSSION: Recent disasters have revealed that coordinated efforts between multidisciplinary agencies can strengthen communities’ capacity to respond. This case example demonstrates how a VA hospital not only continued serving its patients but, with the support from the greater VA system, also filled a wide variety of requests and resource gaps in the community. Building relationships with local VAMCs can help determine how VA could be incorporated into emergency management strategies. In considering the strengths community partners can bring to bear, a coordinated regional response would benefit from involving VA as a partner during planning.
IMPORTANCE: On September 20, 2017, one of the most destructive hurricanes in US history made landfall in Puerto Rico. Anecdotal reports suggest that many persons with kidney failure left Puerto Rico after Hurricane Maria; however, empirical estimates of migration and health outcomes for this population are scarce. OBJECTIVE: To assess the changes in migration and mortality among patients with kidney failure in need of dialysis treatment in Puerto Rico after Hurricane Maria. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study used an interrupted time-series design of 6-month mortality rates and migration of 11 652 patients who received hemodialysis or peritoneal dialysis care in Puerto Rico before Hurricane Maria (before October 1, 2017) and/or during and after Hurricane Maria (on/after October 1, 2017). Data analyses were performed from February 12, 2019, to June 16, 2022.. MAIN OUTCOMES AND MEASURES: Number of unique persons dialyzed in Puerto Rico per quarter; receipt of dialysis treatment outside Puerto Rico per quarter; and 6-month mortality rate per person-quarter for all persons undergoing dialysis. EXPOSURES: Hurricane Maria. RESULTS: The entire study sample comprised 11 652 unique persons (mean [SD] age, 59 [14.7] years; 7157 [61.6%] men and 4465 [38.4%] women; 10 675 [91.9%] Hispanic individuals). There were 9022 patients with kidney failure and dialysis treatment before and 5397 patients after Hurricane Maria. Before the hurricane, the mean quarterly number of unique persons dialyzed in Puerto Rico was 2834 per quarter (95% CI, 2771-2897); afterwards it dropped to 261 (95% CI, -348 to -175; relative change, 9.2%). The percentage of persons who had 1 or more dialysis sessions outside of Puerto Rico in the next quarter following a previous dialysis in Puerto Rico was 7.1% before Hurricane Maria (95% CI, 4.8 to 9.3). There was a significant increase of 5.8 percentage points immediately after the hurricane (95% CI, 2.7 to 9.0). The 6-month mortality rate per person-quarter was 0.08 (95% CI, 0.08 to 0.09), and there was a nonsignificant increase in level of mortality rates and a nonsignificant decreasing trend in mortality rates. CONCLUSIONS AND RELEVANCE: The findings of this cross-sectional study suggest there was a significant increase in the number of people receiving dialysis outside of Puerto Rico after Hurricane Maria. However, no significant differences in mortality rates before and after the hurricane were found, which may reflect disaster emergency preparedness among dialysis facilities and the population with kidney failure, as well as efforts from other stakeholders.
While conceptual definitions provide a foundation for the study of disasters and their impacts, the challenge for researchers and practitioners alike has been to develop objective and rigorous measures of resilience that are generalizable and scalable, taking into account spatiotemporal dynamics in the response and recovery of localized communities. In this paper, we analyze mobility patterns of more than 800,000 anonymized mobile devices in Houston, Texas, representing approximately 35% of the local population, in response to Hurricane Harvey in 2017. Using changes in mobility behavior before, during, and after the disaster, we empirically define community resilience capacity as a function of the magnitude of impact and time-to-recovery. Overall, we find clear socioeconomic and racial disparities in resilience capacity and evacuation patterns. Our work provides new insight into the behavioral response to disasters and provides the basis for data-driven public sector decisions that prioritize the equitable allocation of resources to vulnerable neighborhoods. Understanding how cities respond to extreme weather is critical; as such events are becoming more frequent. Using anonymized mobile phone data for Houston, Texas during Hurricane Harvey in 2017, the authors find that mobility behavior exposes neighborhood disparities in resilience capacity and recovery.
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).
The COVID-19 pandemic drastically altered the lives of global populations. As many struggled to adapt to the challenges of a pandemic, 2020 brought the most active Atlantic hurricane season on record. Government officials and other emergency management sources were faced with the challenge of crafting communications that took into account these dual crises and the challenges people navigated when making storm preparation decisions in light of health risks posed by COVID-19. Past research has shown that social media act as valuable sources of information during emergencies and natural disasters, therefore a mixed methods approach was used to analyze tweets about preparation for Hurricane Laura, which struck America’s Gulf Coast during August 2020. The Crisis and Emergency Risk Communication Model (CERC) was used to examine how the simultaneous occurrence of threats in the pre-crisis and maintenance stages impacted the public’s concerns as well as how official messaging matched with or diverged from audience needs. Findings indicate the continuing utility of CERC, while at the same time suggesting needed revisions for when dual crises strike, situations that are likely to continue in an age of accelerating climate change. We couch conclusions with implications for scholars, practitioners and public officials.
Climate change will create more intense and frequent disasters, resulting in the increased exposure of the most vulnerable populations. It is debatable whether the vulnerability research that follows major disasters, like Hurricane Katrina, has resulted in increased resiliency of those who were the most vulnerable during that disaster. It may even be plausible to suggest that research that exposes countless vulnerabilities within a population is guilty of helping none. Through support from a focused review of the related literature, research findings include the following: (1) post-disaster research analysis tends not to present an actionable hierarchy for public agencies and community organizations to prioritize efforts, (2) the most common thread that runs through societal vulnerability in daily life, and opposite the force multiplying effects of climate change, is poverty; and (3) climate change is likely to facilitate more post-disaster windows of opportunity characterized by increased public consonance that can galvanize transformative change at a local level.
The objective of this study is to empirically and systematically assess the combination of inherent susceptibility factors, protective actions, and factors of hazard exposure that influence a house-hold’s level of hardship experienced due to disruptions in critical infrastructure services during disasters. Classification and regression tree (CART) decision tree models and survey data from three major hurricane events were used to: (1) identify the pathways leading to impact(s) due to service disruptions and explore the differences in pathways across vulnerable population groups; and (2) identify the points of intervention to mitigate well-being impacts in households due to disruptions in water, energy, food, and road transportation services. The results reveal how the associative pathways between these factors change between socioeconomic and demographic groups in the impacted community and for different infrastructure service system types. The findings suggest that not all vulnerable households experienced high hardship outcomes despite prolonged outages. Finally, the hardship pathways suggest recommendations for improving resilience in infrastructure systems in a more equitable manner. The findings can be used by emergency and infrastructure managers and operators to better prioritize resource allocation for hazard mitigation investments and restorations. Accordingly, this study contributes to the theory of human-centric infrastructure resilience.
Quantifying the impact of natural disasters or epidemics is critical for guiding policy decisions and interventions. When the effects of an event are long-lasting and difficult to detect in the short term, the accumulated effects can be devastating. Mortality is one of the most reliably measured health outcomes, partly due to its unambiguous definition. As a result, excess mortality estimates are an increasingly effective approach for quantifying the effect of an event. However, the fact that indirect effects are often characterized by small, but enduring, increases in mortality rates present a statistical challenge. This is compounded by sources of variability introduced by demographic changes, secular trends, seasonal and day of the week effects, and natural variation. Here, we present a model that accounts for these sources of variability and characterizes concerning increases in mortality rates with smooth functions of time that provide statistical power. The model permits discontinuities in the smooth functions to model sudden increases due to direct effects. We implement a flexible estimation approach that permits both surveillance of concerning increases in mortality rates and careful characterization of the effect of a past event. We demonstrate our tools’ utility by estimating excess mortality after hurricanes in the United States and Puerto Rico. We use Hurricane Maria as a case study to show appealing properties that are unique to our method compared with current approaches. Finally, we show the flexibility of our approach by detecting and quantifying the 2014 Chikungunya outbreak in Puerto Rico and the COVID-19 pandemic in the United States. We make our tools available through the excessmort R package available from https://cran.r-project.org/web/packages/excessmort/.
Nursing homes (NHs) are responsible for caring for frail, older adults, who are highly vulnerable to natural disasters, such as hurricanes. Due to the influence of highly uncertain environmental conditions and varied NH characteristics (e.g., geo-location, staffing, residents’ health conditions), the NH evacuation response, namely evacuating or sheltering-in-place, is highly uncertain. Accurate prediction of NH evacuation response is important for emergency management agencies to accurately anticipate the NH evacuation demand surge with healthcare resources proactively planned. Existing hurricane evacuation research mainly focuses on the general population. For NH evacuation, existing studies mainly focus on conceptual studies and/or qualitative analysis using a single source of data, such as surveys or resident health data. There is a lack of research to develop analytics-based method by fusing rich environmental data with NH data to improve the prediction accuracy. In this paper, we propose a Geographic Information System (GIS) data enhanced predictive analytics approach for forecasting NH evacuation response by fusing multi-source data related to storm conditions, geographical information, NH organizational characteristics as well as staffing and residents characteristics of each NH. In particular, multiple GIS features, such as distance to storm trajectory, projected wind speed, potential storm surge and NH elevation, are extracted from rich GIS information and incorporated to improve the prediction performance. A real-world case study of NH evacuation during Hurricane Irma in 2017 is examined to demonstrate superior prediction performance of the proposed work over a large number of predictive analytics methods without GIS information.
After Hurricane Laura struck the southeast coast of Louisiana in August 2020, the National Disaster Medical System (NDMS), a component of the US Department of Health and Human Services, Office of the Assistant Secretary for Preparedness and Response, deployed several 35-person disaster medical assistance teams in response to requests for medical support at 3 hospital locations that had been severely damaged in the storm. This was the first natural disaster medical deployment for NDMS during the coronavirus disease (COVID-19) pandemic. This article describes the modifications to the standard operating procedures that were made at 1 site to reduce the risk of infection to our patients and NDMS responders, including changes to the physical layout of the tenting, and alterations to the triage and treatment process.
INTRODUCTION AND PURPOSE: The geographic location of the Gulf South leaves communities in continuous threat, response, and recovery disaster cycles. Hurricane Katrina in 2005 provided an opportunity to study disaster mental health. Less than 5 years after the storm, many Hurricane Katrina survivors were impacted again by the Deepwater Horizon Gulf oil spill. Despite adversities impacting Gulf communities, over 90% of participants reported they were resilient. The purpose of this study was to improve the understanding of the mechanisms that contribute to strengths following adversity in communities affected by repeated disasters. Specifically, we focused on survivor perceptions of personal, spiritual, or community changes in efforts to describe community resilience and posttraumatic growth (PTG). METHODS: Participants were recruited through a quantitative survey and community flyers. Participants represented southeastern Louisiana, in areas impacted by hurricanes and the oil spill-for a total of five focus groups and 41 participants. Focus groups began by asking each participant to provide a brief overview of their disaster survival story and three additional guiding strengths-based questions. Data were transcribed using Dragon Speech Recognition software. A total of 963 unique responses were analyzed and coded. RESULTS: The following themes were identified: connectedness (n = 259), coping (n = 94), spirituality (n = 60), adaptability (n = 47), and self-reliance (n = 23). Participants noted a growth mindset from the disasters and also acknowledged coinciding negative experiences (n = 154) associated with community change and loss, where subthemes included change in connectedness (n = 97), crime (n = 26), and feeling like an outsider (n = 31). DISCUSSION AND IMPLICATIONS: These findings help scholars and mental health practitioners better understand the lived experiences of PTG in a community of survivors impacted by recurring traumatic experiences. In keeping with previous literature, PTG and negative experiences associated with trauma are not mutually exclusive, but occur simultaneously. Our results offer a holistic picture of coping with cumulative or repeated traumas and suggest that connectedness, coping, and spirituality provide important buffers to negative psychosocial outcomes.
While much research investigates how social capital relates to mental health after disasters, less work employs a multi-scalar, multi-dimensional social capital framework. This study applies such a construct to an analysis of novel survey data of approximately 1,000 rural and urban Texans after Hurricane Harvey struck the United States in August 2017. On the individual level, it finds that greater social support is linked to fewer mental health impacts, but that greater civic and organisational engagement is connected to greater mental health impacts. At the community level, it finds that neither a density of bridging social capital organisations nor of bonding social capital organisations is associated with poorer mental health, although a greater number of bonding organisations is related to negative mental health impacts on rural residents. The paper concludes by focusing on how individual and community social capital relationships with mental health are contingent on measurement, scale, and rural or urban location.
Using data from the 2017-18 Health of Houston Survey, this study estimates the effect of Hurricane Harvey, the second costliest storm in the history of the United States, on the physical and mental health of adults living in Houston, Texas. The survey was fielded to a population-based probability sample whose data collection activities were interrupted and delayed by Hurricane Harvey. This interruption in data collection created a natural experiment that allowed for a comparison of community health before and after the storm. Following the storm, adults in Houston on average experienced an increase of 1.12 days a month of poor physical health and an increase of 1.31 days a month of poor mental health. These effects were most pronounced in parts of the city where structural damage from the storm was most severe.
BACKGROUND: Expressive writing requires journaling stressor-related thoughts and feelings over four daily sessions of 15 min. Thirty years of research have popularized expressive writing as a brief intervention for fostering trauma-related resilience; however, its ability to surpass placebo remains unclear. This study aimed to determine the efficacy of expressive writing for improving post-traumatic stress symptoms in perinatal women who were living in the Houston area during major flooding caused by Hurricane Harvey. METHODS: A total of 1090 women were randomly allocated (1:1:1) to expressive writing, neutral writing or no writing. Interventions were internet-based. Online questionnaires were completed before randomization and at 2 months post-intervention. The primary outcome was post-traumatic stress symptoms, measured with the Impact of Event Scale-Revised; secondary outcomes were affective symptoms, measured with the 40-item Inventory of Depression and Anxiety Scales. Feelings throughout the intervention were reported daily using tailored questionnaires. RESULTS: In intention-to-treat analyses, no post-treatment between-group differences were found on the primary and secondary outcomes. Per-protocol analyses yielded similar results. A number of putative moderators were tested, but none interacted with expressive writing. Expressive writing produced greater feelings of anxiety and sadness during the intervention compared to neutral writing; further, overall experiences from the intervention mediated associations between expressive writing and greater post-traumatic stress at 2 months post-intervention. CONCLUSIONS: Among disaster-stricken perinatal women, expressive writing was ineffective in reducing levels of post-traumatic stress, and may have exacerbated these symptoms in some.
IMPORTANCE: During the past century, more than 100 catastrophic hurricanes have impacted the Florida coast; climate change will likely be associated with increases in the intensity of future storms. Despite these annual threats to residents, to our knowledge, no longitudinal studies of representative samples at risk of hurricane exposure have examined psychological outcomes associated with repeated exposure. OBJECTIVE: To assess psychosocial and mental health outcomes and functional impairment associated with repeated hurricane exposure. DESIGN, SETTING, AND PARTICIPANTS: In this survey study, a demographically representative sample of Florida residents was assessed in the 60 hours prior to Hurricane Irma (wave 1: September 8-11, 2017). A second survey was administered 1 month after Hurricane Irma (wave 2: October 12-29, 2017), and a third survey was administered after Hurricane Michael (wave 3: October 22 to November 6, 2018). Data were analyzed from July 19 to 23, 2021. EXPOSURE: Hurricanes Irma and Michael. MAIN OUTCOMES AND MEASURES: The main outcomes were posttraumatic stress symptoms (PTSS), global distress, worry about future events (generalized worries), and functional impairment. Path models were used to assess associations of individual-level factors (prior mental health, recent adversity), prior storm exposures (loss and/or injury, evacuation), and direct, indirect, and media-based exposures to hurricanes Irma and Michael with those outcomes. Poststratification weights were applied to facilitate population-based inferences. RESULTS: Of 2873 individuals administered the survey in wave 1, 1637 responded (57.0% completion rate) (894 [54.6%, weighted] women; mean [SD] age, 51.31 [17.50] years); 1478 in wave 2 (90.3% retention from wave 1) and 1113 in wave 3 (75.3% retention from wave 2) responded. Prior mental health ailments (b, 0.18; 95% CI, 0.07-0.28), prior hurricane-related loss and/or injury (b, 0.09; 95% CI, 0.02-0.17), hours of Hurricane Irma-related media exposure (b, 0.03; 95% CI, 0.02-0.04), being in an evacuation zone during Hurricane Irma and not evacuating (b, 0.14; 95% CI, 0.02-0.27), and loss and/or injury in Hurricane Irma (b, 0.35; 95% CI, 0.25-0.44) were positively associated with PTSS after Hurricane Irma; most associations persisted and were associated with responses to Hurricane Michael. Prior mental health ailments (b, 0.10; 95% CI, 0.03-0.17), hours of Hurricane Michael-related media exposure (b, 0.01; 95% CI, 0.003-0.02), hurricane Irma-related PTSS (b, 0.42; 95% CI, 0.34-0.50), recent individual-level adversity (b, 0.03; 95% CI, 0.005-0.05), being in an evacuation zone during Hurricane Irma and evacuating (b, 0.10; 95% CI, 0.002-0.19), and direct (b, 0.36; 95% CI, 0.16-0.55) and indirect (b, 0.12; 95% CI, 0.05-0.18) Hurricane Michael-related exposures were directly associated with Hurricane Michael-related PTSS. After Hurricane Michael, prior mental health ailments (b, 0.17; 95% CI, 0.06-0.28), and PTSS related to hurricanes Irma (b, 0.11; 95% CI, 0.001-0.22) and Michael (b, 0.58; 95% CI, 0.47-0.69) were associated with respondents’ functional impairment. Analogous analyses using global distress and generalized worries as mediators of functional impairment yielded a similar pattern of results. CONCLUSIONS AND RELEVANCE: In this survey study, repeated direct, indirect, and media-based exposures to hurricanes were associated with increased mental health symptoms among Florida residents who experienced hurricanes Irma and Michael, suggesting that people were sensitized to respond with more psychological symptoms over time. These results may inform targeted public health intervention efforts for natural disasters.
Natural disasters have increased exponentially in recent decades, imposing existential threats to humans. Yet, surprisingly little research has explored the role of religion and spirituality (R/S) and transcendence-related character strengths in post-disaster depression. Using data (N = 491) from victims of Category 5 Hurricane Michael, this study examined whether R/S factors and character strengths helped to buffer against post-disaster depressive symptoms. A hierarchical regression model revealed an inverse association of perceived spiritual support with depression, after adjusting for demographic and event-related factors; strength of faith and the use of prayer for coping were not significantly related with depression. Upon inclusion of character strengths into the model, those relationships changed dramatically. Hope and optimism negatively predicted depression, whereas strength of faith and prayer for coping did so positively. Follow-up moderation analyses found that victims reporting particularly high levels of R/S factors and particularly low levels of character strength experienced the most depressive symptoms. The findings suggest that the potential protection of R/S factors in disasters may actually be due to transcendence-related character strength factors.
Prior research has found that the prevalence and severity of intimate partner violence (IPV) increase in communities experiencing a disaster. Less studied are the associations between IPV, disaster exposure, and mental health outcomes following disaster events. In the current study, authors examined the prevalence of IPV before and after Hurricane Harvey and the direct and indirect effects of risk (i.e., disaster exposure, IPV) and resilience on mental health outcomes using structural equation modeling with 382 adults. Results indicate that exposure to Hurricane Harvey was significantly associated with risk for IPV, posttraumatic stress (PTS) symptoms, and depression symptoms. In addition, IPV mediated the relationships between disaster exposure and PTS and depression symptoms. These findings support the need to incorporate IPV services and resources into disaster mental health services.
OBJECTIVE: Natural disasters, such as hurricanes, can contribute to the development of posttraumatic stress symptoms (PTSS), anxiety, and depression. Furthermore, mothers and children are especially vulnerable postdisasters. Despite the rise in the frequency of climate-related disasters and also the threat of disasters (e.g., storms that threaten but do not make landfall), little is known about how predisaster experiences are associated with mothers’ and children’s postdisaster psychological functioning. This study examined evacuation-related stressors as predictors of mothers’ and youths’ psychological functioning 3 months after Hurricane Irma. METHOD: Mothers (N = 535; 33% ethnic/racial minorities) from South Florida counties most affected by Hurricane Irma completed an online survey that assessed evacuation-related stressors (both pre- and posthurricane), hurricane exposure (i.e., life threat, loss/disruption), and posthurricane social support and mental health symptomatology (i.e., PTSS, anxiety, depression). Mothers of children aged 7-17 years (n = 226) also reported on their child’s psychological functioning. RESULTS: Using a risk and resilience model, evacuation stressors significantly predicted mothers’ and youths’ PTSS and symptoms of anxiety and depression, even after accounting for demographic factors, hurricane exposure, and availability of social support. Mothers of older children also reported significantly higher levels of PTSS, anxiety, and depression than mothers who only had young children (aged 6 or younger) at home. CONCLUSIONS: Evacuation experiences represent significant stressors that may put mothers and children at risk for PTSS and psychological distress. Resilience-building efforts should include efforts to better prepare families for prestorm evacuations, thereby reducing risk in mothers and youth and ultimately contributing to better psychosocial functioning. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
OBJECTIVE: Extreme weather events pose major risks to human health and have a greater psychological impact on women and parents, but little is known about how they affect health risk behaviors. This study evaluated how disaster-related experiences before, during, and after Hurricane Irma were associated with mothers’ health-risk behaviors, and the extent to which posttraumatic stress symptoms (PTSS) and depressive symptoms potentially mediated these relationships. METHOD: Mothers (N = 534; 33% underrepresented minorities) residing in Southern Florida completed an online survey about their evacuation experiences before and hurricane experiences during and after Irma. Mothers also completed measures of PTSS, depressive symptoms, and health risk behaviors (i.e., substance use, sedentary behaviors, and difficulty falling or staying asleep). Confirmatory factor analysis assessed the fit of the health-risk behavior indicators on a latent factor. Structural equation modeling evaluated relationships between variables. RESULTS: A one-factor model for health risk behaviors fit the data well. After controlling for income, loss and disruption after the storm and depressive symptoms were directly associated with mothers’ health risk behaviors. Before-the-storm evacuation stressors, actual life-threatening events during the storm, and loss and disruption after the storm were related to mothers’ PTSS and depressive symptoms and also associated with health risk behaviors indirectly via depressive symptoms. CONCLUSIONS: Stressful experiences before, during, and after hurricanes are associated with mothers’ health-risk behaviors via postevent emotional distress. Health interventions should include strategies that help parents cope with the impact of extreme weather events, both before and after such events occur. Mothers’ distress potentially could affect child health. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
Weather-related disasters are increasing in both frequency and severity, which in turn increases the likelihood for the development of adverse mental health outcomes (Augustinavicius et al., 2021; CRED & UNDRR, 2015; NOAA National Centers for Environmental Information, 2020). Religion and spirituality are an accessible form of coping that many people turn to during and after weather-related disasters and may be especially valuable to survivors who face barriers to accessing mental health treatment or may not feel served by formal mental health institutions (Abu-Raiya & Pargament, 2015; Bryant-Davis & Wong, 2013). Researchers have drawn distinctions between positive religious coping (PRC) and negative religious coping (NRC), both conceptually and in their relation to mental health outcomes (Pargament et al., 2011). This study utilized data from the Resilience in Survivors of Katrina project, an ongoing longitudinal study of low-income, female, primarily Black Hurricane Katrina survivors, and drew on four waves of data from before the hurricane in 2005 through 2018 to explore the longitudinal relationship between religious coping and mental health outcomes. Multiple linear regression analyses revealed that NRC was a significant predictor of posttraumatic stress, b = .14, p < .05, whereas PRC was a significant predictor of posttraumatic growth, b = .22, p < .01. Future research should further examine associations between religious coping styles and later well-being as well as strategies for beneficial outcomes.
This study examined the extent to which Christian religious affiliation promoted greater forgiveness and search for meaning and consequently may have mitigated posttraumatic stress disorder (PTSD) symptoms in the wake of the devastation and loss following two hurricanes in Puerto Rico in 2017. Participants included 511 surviving Puerto Ricans. Most were assigned “female” at birth, educated, Christian, and middle-aged. Participants completed measures of PTSD symptoms, search for meaning, forgiveness, and demographics. Path modeling showed that Christian religious affiliation was negatively associated with PTSD symptoms and was positively associated with forgiveness but not search for meaning. Forgiveness was negatively and search for meaning was positively associated with PTSD symptoms. Christian religious affiliation may stimulate forgiveness, which may be a crucial factor for coping with PTSD symptoms in a natural disaster context such as Hurricanes Irma and Maria in Puerto Rico.
Prior research suggests that meaning-making and forgiveness are associated with lower post traumatic stress symptoms (PTSS) following exposure to trauma. Few studies have examined these factors in the aftermath of natural disasters. This study therefore aimed to investigate the relationship between meaning-making and forgiveness, and their association with PTSS after the 2017 Hurricane Maria in Puerto Rico. Bivariate correlations and hierarchical regression analyses indicated that meaning-making and forgiveness were negatively correlated with PTSS. Higher levels of “presence of meaning,” “self-forgiveness,” “forgiveness of others,” and “feeling forgiven by God” were significantly associated with lower levels of PTSS. Conversely, “search for meaning” was positively associated with PTSS. The results suggest the importance of meaning-making and forgiveness education for building and promoting well-being in the face of extreme stressors.
Several studies showed an association between lower respiratory tract symptoms (LRS) and exposure to the 9/11 terrorist attack. However, few studies have examined the long-term impact of natural disasters on those with prior respiratory distress. The present study aims to assess the impact of Hurricane Sandy on persistent LRS among people exposed to the World Trade Center (WTC) terrorist attack. The analytic sample consisted of WTC Health Registry enrollees who completed survey waves 1, 3, and 4 and the Hurricane Sandy Survey and did not report LRS before the WTC terrorist attack. The log binomial was used to assess the association between the impact of Hurricane Sandy and persistent LRS. Of 3277 enrollees, 1111 (33.9%) reported persistent LRS post-Sandy. Participants of older age, males, lower household income, current smokers, and those with previous asthma were more likely to report persistent LRS. In separate adjusted models, multiple Sandy-related inhalation exposures (relative risk (RR): 1.2, 95% CI: 1.06-1.37), Sandy-related PTSD (RR: 1.27, 95% CI: 1.15-1.4), and Sandy LRS (RR: 1.64, 95% CI: 1.48-1.81) were associated with persistent LRS post-Sandy. Our findings suggest that respiratory protection is important for everyone performing reconstruction and clean-up work after a natural disaster, particularly among those with previous respiratory exposures.
Natural disasters represent major stressors, resulting in psychological distress and physiological responses such as increased cortisol. During pregnancy, this impacts not only maternal well-being, but also fetal development. In 2018, Hurricane Florence caused extensive damage across the eastern United States. Studies indicated that compared to married pregnant women, unmarried pregnant women had higher risk of distress. Here we assess hair cortisol among a subsample of participants, and variations based on marital status. METHODS: We analyzed multiple stress measures among 37 participants who were pregnant during Hurricane Florence. We used questionnaires modeled on previous studies to assess hardship associated with the hurricane, psychological distress, sociodemographic characteristics, social support, and food security. We analyzed cortisol concentrations in proximal and distal hair sections, representing stress around the time of the disaster (distal) and 3-4 months following the disaster (proximal). We used linear regression to test relationships between hair cortisol and self-report stress measures, and variations based on marital status. RESULTS: Self-report measures of distress and hardship were similar among married and unmarried participants. Mean cortisol levels in distal and proximal sections were higher among unmarried participants. Controlling for confounding variables, hardship was not associated with hair cortisol. Distress predicted cortisol in distal sections (β = .482, p = .018), with a trend for proximal sections (β = .368, p = .055). Marital status was a significant predictor of distal (β = .388, p = .027) and proximal (β = .333, p = .047) hair cortisol, explaining 8.6%-11.7% of unique variance. CONCLUSIONS: Preexisting and intersecting risk factors likely place unmarried pregnant individuals at risk of stress during and following a disaster.
In theoretical research on disaster vulnerability, access to resources is critical for optimal outcomes. Studying the impact of a hurricane on maternal stress can expand theories of disaster vulnerability. This is a cross-sectional mixed-methods prospective study of maternal stress during Hurricane Florence in the United States. Results from chi-squares compared the proportion of respondents who reported having support for a financial emergency were significant, specifically that higher income respondents indicated the ability to rely on someone in case of an emergency. A regression analysis indicated that social support was significant and negatively related to stress as a dependent variable, while evacuation status and pregnancy status were not significant predictors of stress. Five themes emerged from the overall qualitative data: concerns about infant feeding, evacuation logistics, general stress, family roles, and ‘other’ issues.
Exposure to natural disasters predisposes individuals to significant physical and mental health consequences. Research identifies a number of stressors important to determining what might exacerbate this exposure risk, as well as what types of social/psychological resources might help mitigate these negative outcomes. Using a targeted quota sample of adults (n = 316) interviewed two months after Hurricane Harvey made landfall on the Gulf Coast of Texas in August 2017, the present study examines the intersection of vulnerabilities, stressors, and resources and their relationship with post-traumatic stress symptomatology. Stress is high among this sampled group with over one-quarter of respondents reporting high enough symptoms to meet the clinical caseness criteria for PTSD. Results show significant variation across categorical groupings of post-traumatic stress symptoms; younger persons, nonwhites, and those displaced from their home during the storm were more likely to be found in the highest symptom count category. Regression results confirm the bivariate results and as hypothesized, stressors were associated with higher symptom reporting among respondents, and social and psychological resources were associated with lower symptom reporting. With one of the only studies to report these relationships between vulnerability, stressors, and resources in the post-disaster Harvey setting, our work underscores the importance of identifying who is at risk, what factors can potentially mitigate that risk, and just how severe the consequences can be for survivors requiring mental health services after a disaster. Clearly, more work is needed, particularly on the identification of resources acting as protection against the overwhelming circumstances of exposure to devastation and destruction caused by natural disasters.
BACKGROUND: Although injuries experienced during hurricanes and other tropical cyclones have been relatively well-characterized through traditional surveillance, less is known about tropical cyclones’ impacts on noninjury morbidity, which can be triggered through pathways that include psychosocial stress or interruption in medical treatment. METHODS: We investigated daily emergency Medicare hospitalizations (1999-2010) in 180 US counties, drawing on an existing cohort of high-population counties. We classified counties as exposed to tropical cyclones when storm-associated peak sustained winds were ≥21 m/s at the county center; secondary analyses considered other wind thresholds and hazards. We matched storm-exposed days to unexposed days by county and seasonality. We estimated change in tropical cyclone-associated hospitalizations over a storm period from 2 days before to 7 days after the storm’s closest approach, compared to unexposed days, using generalized linear mixed-effect models. RESULTS: For 1999-2010, 175 study counties had at least one tropical cyclone exposure. Cardiovascular hospitalizations decreased on the storm day, then increased following the storm, while respiratory hospitalizations were elevated throughout the storm period. Over the 10-day storm period, cardiovascular hospitalizations increased 3% (95% confidence interval = 2%, 5%) and respiratory hospitalizations increased 16% (95% confidence interval = 13%, 20%) compared to matched unexposed periods. Relative risks varied across tropical cyclone exposures, with strongest association for the most restrictive wind-based exposure metric. CONCLUSIONS: In this study, tropical cyclone exposures were associated with a short-term increase in cardiorespiratory hospitalization risk among the elderly, based on a multi-year/multi-site investigation of US Medicare beneficiaries ≥65 years.
Rising global temperatures and seawater temperatures have led to an increase in extreme weather patterns leading to droughts and floods. These natural phenomena, in turn, affect the supply of drinking water in some communities, which causes an increase in the prevalence of diseases related to the supply of drinking water. The objective of this work is to demonstrate the effects of global warming on human health in the population of Monterrey, Mexico after Hurricane Alex. We interpolated data using statistical downscaling of climate projection data for 2050 and 2080 and correlated it with disease occurrence. We found a remarkable rise in the incidence of transmissible infectious disease symptoms. Gastrointestinal symptoms predominated and were associated with drinking of contaminated water like tap water or water from communal mobile water tanks, probably because of the contamination of clean water, the disruption of water sanitation, and the inability to maintain home hygiene practices.
Hurricane or typhoon evacuations in the United States are typically managed by state, territorial, or tribal emergency management officials with federal, state, and local agency operational support. The evacuation process may involve issuing mandatory or “voluntary” evacuation orders to alert the community and mitigate loss of life and injury. We conducted an analysis of state and local hurricane evacuation policies identified through a literature review (January 1990 to June 2019) and key informant interviews with state public health and emergency management officials in Florida, Georgia, Louisiana, Mississippi, North Carolina, South Carolina, and Texas in October and November 2019. Findings from the literature review show that most gaps in hurricane evacuation preparedness-based on 44 policy-related publications identified in the review-could be categorized into 4 themes: shelters, evacuation decisionmaking, at-risk populations, and transportation. Findings from key informant interviews for 7 states revealed that coastal states have been able to address most of these gaps since Hurricane Katrina in 2005. However, an important remaining gap in preparedness is providing timely warnings to at-risk populations during hurricane evacuations.
This case study presents an evaluation framework to assess the facilitating and constraining factors that influenced the emergency response, operation, and management of a Special Needs Shelter Program in Monroe County, Florida during Hurricane Irma in 2017. A qualitative analysis of key documents and discussions with agencies directly involved in the Monroe County Special Needs Shelter Program was used to assess four major emergency response processes: notifications and communications, evacuation and transportation, sheltering, and interagency coordination. A critical cross-cutting theme emerged, which was a lack of a common definition for populations with “special needs” across different agencies resulting in uncertainties about who should be admitted to the Special Needs Shelter and have access to their services. We generate public health and emergency management lessons to inform future adaptation, preparedness, and response plans to extreme weather events for populations with access and functional needs in Monroe County and Florida’s coastal communities more broadly.
As climate change progresses, it is crucial that researchers and policymakers understand the ways in which climate-mental health risks arise through interactions between climate hazards, human exposure and social vulnerabilities across time and location. This scoping review systematically examined the nature, range and extent of published research in North America that investigates climate-mental health interactions. Five electronic databases were searched and two independent reviewers applied pre-determined criteria to assess the eligibility of articles identified in the search. Eighty-nine articles were determined to be relevant and underwent data extraction and analysis. The published literature reported on numerous exposure pathways through which acute and chronic climate hazards interacted with social vulnerabilities to increase mental health risks, including wellbeing, trauma, anxiety, depression, suicide and substance use. This review also highlights important gaps within the North American climate-mental health evidence base, including minimal research conducted in Mexico, as well as a lack of studies investigating climate-mental health adaptation strategies and projected future mental health risks. Further research should support effective preparation for and adaptation to the current and future mental health impacts of climate change. Such strategies could reduce health risks and the long-term mental health impacts that individuals and communities experience in a changing climate.
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.
Disaster research concerning the behavior of international students at U.S. institutions of higher education is very limited. The main objective of our study is to develop new knowledge about international student’s behavior at U.S. institutions of higher education in relation to hurricanes in order to enhance the overall campus crisis management. A mix of quantitative and qualitative methods was used to collect data from University of Florida (UF) main campus in Gainesville, Florida; UF administrative leaders committed to international students’ safety in emergencies were interviewed. In addition, 120 international students at UF were surveyed. The data analysis sought to provide insights into one main research question: In a disaster-context, what challenges do international students face that contribute to their vulnerability at UF main campus? Three main groups of challenges were found; Institutional challenges, Students’ well-being and daily challenges, and Disaster preparedness challenges. Moreover, considerable variations in students’ behavior were found among some demographics, including gender, ethnicity, housing, degree level, and previous hurricane experience. The research findings shed a light on a research area that has been under-investigated, and contribute to an increased understanding of international students’ vulnerabilities at U.S. institutions of higher education.
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.
INTRODUCTION: Hurricanes Irma and Maria made landfall in the US Virgin Islands (USVI) in 2017. To date, there is no published literature available on the experiences of pregnant women in the USVI exposed to these hurricanes. Understanding how hurricanes affect pregnant women is key to developing and executing targeted hurricane preparedness and response policies. The purpose of this study was to explore the experiences of pregnancy and birth among women in the USVI exposed to Hurricanes Irma and Maria. METHODS: We employed a qualitative descriptive methodology to guide sampling, data collection, and analysis. Semi-structured interviews of 30-60 min in length were conducted with a purposive sample of women (N = 18) in the USVI who were pregnant during or became pregnant within two months after the hurricanes. Interviews were transcribed verbatim and data managed in MAXQDA. Team members developed a codebook, applied codes for content, and reconciled discrepancies. We thematically categorized text according to a socioecological conceptual framework of risk and resilience for maternal-neonatal health following hurricane exposure. RESULTS: Women’s experiences were organized into two main categories (risk and resilience). We identified the following themes related to risk at 3 socioecological levels including: (1) individual: changes in food access (We had to go without) and stress (I was supposed to be relaxing); (2) household/community: diminished psychosocial support (Everyone was dealing with their own things) and the presence of physical/environmental hazards (I was really scared); and (3) maternity system: compromised care capacity (The hospital was condemned). The themes related to resilience included: (1) individual: personal coping strategies (Being calm); (2) household/community: mutual psychosocial and tangible support (We shared our resources); and (3) the maternity system: continuity of high-quality care (On top of their game). CONCLUSIONS: A socioecological approach provides a useful framework to understand how risk and resilience influence the experience of maternal hurricane exposure. As the frequency of the most intense hurricanes is expected to increase, clinicians, governments, and health systems should work collaboratively to implement hurricane preparedness and response plans that address pregnant women’s unique needs and promote optimal maternal-infant health.
OBJECTIVE: The aim of this study was to use a mixed-method analysis to investigate the associations between qualitative themes found in written responses and quantitative reported level of stress after Hurricane Sandy. METHODS: A survey was conducted among World Trade Center Health Registry enrollees 5-12 mo after Hurricane Sandy. This study included 1202 participants who completed the free-response section and answered the question on how stressful their experiences were with Hurricane Sandy and its aftermath. Content analysis was used to generate qualitative data. Mixed-methods analysis was performed using a 1-way analysis of variance test for bivariate comparisons of qualitative thematic codes and the quantitative outcome of mean Sandy stress scores. RESULTS: Seven themes emerged from the qualitative analysis. The themes of lack of information, negative emotional response, and financial stress had higher quantitative mean Sandy stress scores compared with other themes. The theme of patriotism/gratitude had an overall lower quantitative Sandy stress scores than other themes. CONCLUSIONS: Qualitative and mixed-methods research on mental health outcomes after a disaster add new depth and findings to the existing literature. Using such methodologies to identify modifiable factors, such as improving communication during a disaster, may confer better mental health outcomes after a disaster.
PURPOSE: In September 2017, Hurricane Maria devastated Puerto Rico. Houses were destroyed, millions of people lost power and access to clean water, and many roads were flooded and blocked. In the years following the storm, hundreds of thousands of people have left Puerto Rico and settled on the U.S. mainland. The purpose of this study is to examine the impact of disaster trauma among Puerto Rican adults who moved to the U.S. mainland after Hurricane Maria. METHOD: Participants were 319 adult Puerto Rican Hurricane Maria survivors on the U.S. mainland. Women comprised 71.2% of the sample. Data were collected between August 2020 and October 2021. Participants completed Spanish-language measures of hurricane-related trauma, perceived ethnic discrimination and negative context of reception on the U.S. mainland, language stress, depressive symptoms, anxiety, optimism, life satisfaction, and problem drinking. RESULTS: We estimated a structural equation model where hurricane trauma predicted cultural stress, which in turn predicted internalizing symptoms, optimism, and life satisfaction. Internalizing symptoms, optimism, and life satisfaction were specified as predictors of problem drinking. Results indicated that hurricane trauma predicted cultural stress. Cultural stress predicted internalizing symptoms, optimism, and life satisfaction. Internalizing symptoms predicted problem drinking. Hurricane trauma indirectly predicted internalizing symptoms through cultural stress and indirectly predicted problem drinking through cultural stress and internalizing symptoms. CONCLUSIONS: Traumatic experiences from the storm may predispose Puerto Rican Hurricane Maria survivors to perceive cultural stress on the U.S. mainland. In turn, cultural stressors may be associated with internalizing symptoms and alcohol problems. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
Formulating disaster responses that mitigate social inequalities is crucial because disasters disproportionately harm marginalized communities. This study seeks to inform more equitable post-disaster policies by examining how post-disaster residential outcomes relate to subsequent income and health outcomes among a sample of Hurricane Katrina survivors. Analyzing pre-hurricane survey data, three waves of survey data over 12-15 years post-disaster for 385 low-income women, as well as qualitative data from a subset of participants, we show that durable residence in counties previously shown to promote greater intergenerational socioeconomic advancement predicts higher income, but not better mental or self-rated health. Statistical control for prospectively collected, pre-disaster confounders, coupled with qualitative insights, suggest causal relationships between county-level opportunity and income. We further find that persis-tence in high opportunity counties was driven by family obligations, relationship changes, or access to job opportunities, not differences in individual priorities. Disaster policy should better support displaced survivors’ ability to access high opportunity areas.
BACKGROUND: Few studies have evaluated the long-term effects of disasters on older adults. We examined if older individuals experienced increased mental health (MH) effects immediately and long-term after Hurricane Sandy and if these effects varied by socioeconomic status (SES), disease subtypes, number of comorbidities, and length of stay. METHODS: We identified older patients (≥64 years) with hospital admissions and Emergency Department (ED) visits (2001-2015) with primary diagnosis of MH diseases using the New York State discharged data. We quantified both short-term (immediately post-Sandy) and long-term effects (3-month, 1-year, 2-year, and 3-year) following Hurricane Sandy, and used the pre-Sandy period in the affected counties as the control period. Poisson regression was used to compare daily counts of MH cases overall and by multiple strata pre-/post Sandy. FINDINGS: Older individuals had significantly increased risk of MH ED visits immediately (32%), and 3-months, 1, 2, and 3-years after Sandy (2%, 9%, 15%, and 10%, respectively). MH hospital admissions did not increase immediately, but significantly increased by 8% a year later. Males and those with low SES had delayed, but increased risks of MH 1-3 years after Sandy (RRs range: 1.14-1.71). The top MH subtypes after Sandy were psychosis, mood disorders, substance abuse, suicide, and anxiety (RRs range: 1.12-2.62). After Sandy, patients with ≥8 comorbidities increased from 15% to >25%, along with their length of hospital stay. CONCLUSION: We found long-term adverse effects of MH after Sandy, especially among vulnerable populations, which may help plan future disaster preparedness and recovery efforts.
OBJECTIVES: To evaluate the association between adverse experiences during Hurricane María and mental and emotional distress in Puerto Rico. METHODS: This cross-sectional study used baseline data from adult (30-75 years) participants of the Puerto Rico Observational Study of Psychosocial, Environmental, and Chronic Disease Trends (PROSPECT). Enrolled individuals prior to COVID-19 who completed a 33-item questionnaire on Hurricane María-related experiences (sub-categorized as personal, service, or property losses), depression symptomatology, post-traumatic stress disorder (PTSD), and anxiety were included for analysis (n = 456). RESULTS: Most participants experienced fear for their family’s safety, damage to their home and personal items, communication outages, and water shortages. Each additional stressor was significantly associated with higher odds of depression symptoms, PTSD, and anxiety. Personal losses were significantly associated with higher likelihood of all outcomes, while services losses were associated with depression symptoms and anxiety; property loss was not significantly associated with any outcome. CONCLUSIONS: Adverse experiences during a major natural disaster are associated with mental and emotional distress. Strategies to minimize hardships during natural disasters, especially personal and service losses, are essential to preserve mental health. Post-disaster psychological support to individuals is crucial.
OBJECTIVE: To examine the levels of burnout and self-perceived stress in workers at the Puerto Rico Electric Power Authority, who experienced major disasters: Hurricanes Irma and Maria. METHODS: A quantitative descriptive cross-sectional study with a non-probabilistic convenience sample was conducted in workers at the Puerto Rico Electric Power Authority. A structured questionnaire was administered to a sample of 163 eligible participants, aged 21 years and older, who participated voluntarily. Using employees of the electric company, the study examined the relationships between burnout and several characteristics (years of employment, existing health conditions, and coping strategies) both before and after Hurricanes Irma and Maria. Burnout was assessed with Gil-Monte’s Spanish Burnout Inventory, and self-perceived stress was assessed with the 14-item Perceived Stress Scale. RESULTS: Before the hurricanes, 16.6% of the workers reported high levels of burnout syndrome, while, after the hurricanes, the proportion increased to one-fifth (20.9%). Prior to the 2 hurricanes, more than one-fourth (23.4%) of the sample reported being extremely stressed; after the hurricanes, that proportion increased to 55%. Factors such as years of employment, counseling, and self-perceived stress showed significant statistical associations (P < .05) with burnout. CONCLUSION: From a public health standpoint, priority should be given to this population, thereby preventing burnout and any other negative effects of the aftermath (i.e., the lengthy response, recovery, and reconstruction) of these kinds of major disaster.
Based on data from 103 surveys of Puerto Rican migrants living in Florida and 54 in-depth interviews with a subgroup of them, we examine how Puerto Ricans who left the archipelago after Hurricane Maria have navigated settlement in their new homes. In this article, we observed and classified our participants’ descriptions of how they managed opportunities and challenges regarding education, employment, and social relations, the traditional benchmarks for the assessment of societal integration. We also observed how our participants described Covid-19’s interaction with these benchmarks. We found that our participants have experienced a series of cascading disasters since 2017-namely, Hurricane Maria, the earthquakes that affected Puerto Rico starting in late 2019, the humanitarian crises that followed both disasters, and now the global pandemic. These disasters, compounded with migration, have resulted in a process of adaptation to Florida in which social and labor-market integration and the ability to nurture social ties have been significantly diminished.
Media use can be beneficial in many ways, but little is known about how it might improve wellbeing outcomes following a traumatic natural disaster. Survivors (n = 491) of deadly Hurricane Michael, which struck the Florida (USA) coastline in 2018, completed an online survey, reporting indicators of post-traumatic growth (PTG) and stress (PTSS). A serial mediation model explored how hurricane-related stressors were related to both outcomes, as mediated by approach, avoidant, and support-seeking coping strategies and post-hurricane hedonic, eudaimonic, and self-transcendent media use as coping tools. Factors contributing to each type of post-hurricane media use were also explored. Results indicate that hurricane-related stressors were associated with PTG, serially mediated through approach coping strategies and self-transcendent media use, thus providing some of the first empirical evidence of the longer-term, beneficial wellbeing effects of media use on survivors of trauma. Additionally, hurricane-related stressors were associated with avoidant coping strategies, which were associated with increased eudaimonic media use. However, hedonic and eudaimonic media use were not associated with PTSS or PTG. Finally, factors known to be associated with media use were not predictive of post-hurricane media use, perhaps suggesting that media play a different role in survivors’ lives in the months following a traumatic event.
Disasters adversely affect individuals’ mental health; yet, research is scant on the mental health needs of frontline workers during and immediately after disasters. Our study explored this gap through the perspectives of home-based care providers (HBCP) who provided care during and after Hurricanes Irma and Harvey. In this qualitative study, five in-person focus groups were held between January and November 2019 with 25 HBCP drawn from home health care agencies in southern Florida and the Greater Houston Area. Four themes were identified using an abductive analytic approach: HBCPs’ disaster-related mental health needs; HBCP resilience in the context of disaster; psychological tensions associated with simultaneously caring for self, family, and patients; and supporting patients’ mental health needs during and after disaster. Our data suggest that HBCP may benefit from formal training and interventions to support their own mental health as well as that of their patients in the context of disasters.
BACKGROUND: Natural disasters are associated with increased mental health disorders and suicidal ideation; however, associations with suicide deaths are not well understood. We explored how Hurricane Florence, which made landfall in September 2018, may have impacted suicide deaths in North Carolina (NC). METHODS: We used publicly available NC death records data to estimate associations between Hurricane Florence and monthly suicide death rates using a controlled, interrupted time series analysis. Hurricane exposure was determined by using county-level support designations from the Federal Emergency Management Agency. We examined effect modification by sex, age group, and race/ethnicity. RESULTS: 8363 suicide deaths occurred between January 2014 and December 2019. The overall suicide death rate in NC between 2014 and 2019 was 15.53 per 100 000 person-years (95% CI 15.20 to 15.87). Post-Hurricane, there was a small, immediate increase in the suicide death rate among exposed counties (0.89/100 000 PY; 95% CI -2.69 to 4.48). Comparing exposed and unexposed counties, there was no sustained post-Hurricane Florence change in suicide death rate trends (0.02/100 000 PY per month; 95% CI -0.33 to 0.38). Relative to 2018, NC experienced a statewide decline in suicides in 2019. An immediate increase in suicide deaths in Hurricane-affected counties versus Hurricane-unaffected counties was observed among women, people under age 65 and non-Hispanic black individuals, but there was no sustained change in the months after Hurricane Florence. CONCLUSIONS: Although results did not indicate a strong post-Hurricane Florence impact on suicide rates, subgroup analysis suggests differential impacts of Hurricane Florence on several groups, warranting future follow-up.
Situations faced in the advent of powerful hurricanes can be stressful for individuals due to the uncertainty they bring along. The consequences of these phenomena can leave individuals’ recovery in their own hands until order is re-established, and support can reach out to them. This work aims to develop a tool to guide individuals through their decision-making during a hurricane disaster and recovery, using the experience of Hurricane María. The tool is a classic inventory model adapted to monitor individual’s wellness through 48 hours after a hurricane arrival. This article presents the three stages followed in the development in this work: the assessment of individuals’ sentiments toward Hurricane María via an online questionnaire, the development of the mathematical model, and the creation of a prototype in the form of a mobile application. Each phase presents an important contribution: a summary of first-hand knowledge obtained from the reactions of individuals who survived Hurricane María, a novel modeling approach to the problem, and a convenient framework that synthesizes both previous components.
OBJECTIVES: Natural disasters can have devastating, long-lasting effects on the mental health of older adults. However, few studies have examined associations among disaster exposure and positive and negative affect, and no longitudinal studies have investigated the extent to which predisaster perceived social support affects these associations. These analyses examine the associations among predisaster perceived social support, disaster exposure, and positive and negative affect experienced by community-dwelling older adults 4 years after Hurricane Sandy, controlling for predisaster affect. METHODS: Self-reported data collected before and after Hurricane Sandy from participants (aged 50-74 years) in the ORANJ BOWL panel (N = 2,442) were analyzed using linear regression models. RESULTS: Higher levels of peritraumatic stress experienced during Hurricane Sandy and greater hardship experienced after the storm were associated with more negative affect 4 years following the disaster. Higher perceived social support at baseline was related to more positive affect and less negative affect both before and after the hurricane. Social support did not moderate the effect of hurricane exposure on either positive or negative affect. DISCUSSION: Findings suggest that psychological effects may persist years after natural disasters and that more effective interventions may be needed during and after a disaster. While social support is critical to positive and negative affect in general, its buffering effects when disaster strikes may be limited.
Hurricane Harvey was associated with flood-related damage to chemical plants and oil refineries, and the flooding of hazardous waste sites, including 13 Superfund sites. As clean-up efforts began, concerns were raised regarding the human health impact of possible increased chemical exposure resulting from the hurricane and subsequent flooding. Personal sampling devices in the form of silicone wristbands were deployed to a longitudinal panel of individuals (n = 99) within 45 days of the hurricane and again one year later in the Houston metropolitan area. Using gas chromatography−mass spectroscopy, each wristband was screened for 1500 chemicals and analyzed for 63 polycyclic aromatic hydrocarbons (PAHs). Chemical exposure levels found on the wristbands were generally higher post-Hurricane Harvey. In the 1500 screen, 188 chemicals were detected, 29 were detected in at least 30% of the study population, and of those, 79% (n = 23) were found in significantly higher concentrations (p < 0.05) post-Hurricane Harvey. Similarly, in PAH analysis, 51 chemicals were detected, 31 were detected in at least 30% of the study population, and 39% (n = 12) were found at statistically higher concentrations (p < 0.05) post-Hurricane Harvey. This study indicates that there were increased levels of chemical exposure after Hurricane Harvey in the Houston metropolitan area.
Disparities exist in post-disaster flooding exposure and vulnerable populations bear a disproportionate impact of this exposure. We describe the unequal burden of flooding in a cohort of New York residents following Hurricane Sandy and assess whether the likelihood of flooding was distributed equally according to socioeconomic demographics, and whether this likelihood differed when analyzing self-reported or FEMA flood exposure measures. Residents of New York City and Long Island completed a self-administered survey 1.5-4.0 years after the storm. Multivariable logistic regressions were performed to determine the relationship between sociodemographic characteristics and flood exposure. Participants (n = 1231) residing in areas of the lowest two quartiles of median household income experienced flooding the most often (FEMA/self-reported: <$40,298: 65.3%/42.0%, $40,298-$67,188: 43.3%/32.1%), and these areas contained the highest proportions of non-White participants (<$40,298: 39.1%, $40,298-$67,188: 36.6%) and those with ≤high school education (<$40,298: 35.5%, $40,298-$67,188: 33.6%). Both self-report (p < 0.05) and FEMA (p < 0.05) flood measures indicated that older participants were more likely to live in a household exposed to flooding, while those living in higher-income areas had decreased likelihood of flooding (p < 0.0001). Socioeconomic and age disparities were present in exposure to flooding during Hurricane Sandy. Future disaster preparedness responses must understand flooding from an environmental justice perspective to create effective strategies that minimize disproportionate exposure and its adverse outcomes.
OBJECTIVES: To assess the economic and mental health impacts of COVID-19 in the presence of previous exposure to flooding events. METHODS: Starting in April 2018, the Texas Flood Registry (TFR) invited residents to complete an online survey regarding their experiences with Hurricane Harvey and subsequent flooding events. Starting in April 2020, participants nationwide were invited to complete a brief online survey on their experiences during the pandemic. This study includes participants in the TFR (N = 20,754) and the COVID-19 Registry (N = 8568) through October 2020 (joint N = 2929). Logistic regression and generalized estimating equations were used to examine the relationship between exposure to flooding events and the economic and mental health impacts of COVID-19. RESULTS: Among COVID-19 registrants, 21% experienced moderate to severe anxiety during the pandemic, and 7% and 12% of households had difficulty paying rent and bills, respectively. Approximately 17% of Black and 15% of Hispanic households had difficulty paying rent, compared to 5% of non-Hispanic white households. The odds of COVID-19 income loss are 1.20 (1.02, 1.40) times higher for those who previously had storm-related home damage compared to those who did not and 3.84 (3.25-4.55) times higher for those who experienced Harvey income loss compared to those who did not. For registrants for whom Harvey was a severe impact event, the odds of having more severe anxiety during the pandemic are 5.14 (4.02, 6.58) times higher than among registrants for whom Harvey was a no meaningful impact event. CONCLUSIONS: Multiple crises can jointly and cumulatively shape health and wellbeing outcomes. This knowledge can help craft emergency preparation and intervention programs.
Flood risk assessment requires a quantitative understanding of hazards and vulnerability. In the coastal built environment, the human’s vulnerability to combined hazards due to the floodwater and winds is an integral component of flood risks. The present study aims to reveal the human vulnerability to storm-induced coastal flooding, focusing on New York City during Hurricane Sandy. We develop a physics-based model to quantify individuals’ physical vulnerability, both adults and children, to compound hazards of floodwater and winds. The model accounts for the failure of individuals caused by physical instability due to slipping and toppling. The governing equations consider the balance between the driving and resisting forces and moments applied to an individual concurrently exposed to floodwater and winds. We first calibrate the model using existing measurements in the literature and then implement it to study the vulnerability of New York residents in Manhattan to coastal flooding during Hurricane Sandy. Model results indicate that when combined floodwater and wind hazards were at their highest-level during Sandy, the majority of flooded areas were mainly a hazardous zone for adults and either a failure or drowning zone for children. About 5.4% and 47.4% of the total flooded area became a failure zone, and 19.9% and 42.4% became a drowning zone for adults and children, respectively. We conclude that winds can have a significant impact on the physical instability of individuals. For example, model results for children show that neglecting winds results in a reduction of 97.7% in the area of the failure zone.
Coastal and riverine communities in the United States are largely unprepared for the projected effects of the climate crisis, including more intense storm surges, sea level rise, and increased precipitation. Flooding poses its own hazards, but in recent years, chemical releases triggered by extreme weather, such as hurricanes, have become more frequent, exposing nearby communities to toxic chemicals in the midst of natural disaster. This article reviews the public health implications of chemical releases triggered by extreme weather and provides commentary on possible policy solutions. The Gulf Coast, where there is an abundance of chemical facilities, is particularly vulnerable to these events, one of the latest examples being the August 2020 BioLab chlorine factory fire in Lake Charles, Louisiana, during Hurricane Laura. Low-wealth, Black, and Hispanic communities are disproportionately located near high-risk chemical facilities. The cumulative burden of flooding, toxic chemical releases, and other social stressors borne of systemic racism harms these communities, highlighting a critical environmental injustice. The federal and state governments have failed to develop regulatory safeguards that would prevent chemical releases triggered by extreme storms. State regulators should make facility reporting data available to the public and establish a regulatory regime for aboveground storage tanks. State regulators should also complete an analysis of flood risks to high-risk chemical facilities and impacts on historically disenfranchised communities, require permitted facilities to implement climate-responsive spill preventions practices, and establish a task force that can investigate strategies to prevent climate-driven chemical disaster and engage key stakeholders.
Natural disasters such as floods and hurricanes impact urbanized estuarine environments. Some impacts pose potential environmental and public health risks because of legacy or emerging chemical contamination. However, characterizing the baseline spatial and temporal distribution of environmental chemical contamination before disasters remains a challenge. To address this gap, we propose using systematic evidence mapping (SEM) in order to comprehensively integrate available data from diverse sources. We demonstrate this approach is useful for tracking and clarifying legacy chemical contamination reporting in an urban estuary system. We conducted a systematic search of peer-reviewed articles, government monitoring data, and grey literature. Inclusion/exclusion criteria are used as defined by a Condition, Context, Population (CoCoPop) statement for literature from 1990 to 2019. Most of the peer-reviewed articles reported dioxins/furans or mercury within the Houston Ship Channel (HSC); there was limited reporting of other organics and metals. In contrast, monitoring data from two agencies included 89-280 individual chemicals on a near-annual basis. Regionally, peer-reviewed articles tended to record metals in Lower Galveston Bay (GB) but organics in the HSC, while the agency databases spanned a wider spatial range in GB/HSC. This SEM has shown that chemical data from peer-reviewed and grey literature articles are sparse and inconsistent. Even with inclusion of government monitoring data, full spatial and temporal distributions of baseline levels of legacy chemicals are difficult to determine. There is thus a need to expand the chemical, spatial, and temporal coverage of sampling and environmental data reporting in GB/HSC.
OBJECTIVES: Extensive floodwater damage following hurricane Harvey raised concerns of increase in invasive mould infections (IMIs), especially in immunocompromised patients. To more comprehensively characterize the IMI landscape pre- and post-Harvey, we used a modified, less restrictive clinical IMI (mcIMI) definition by incorporating therapeutic-intent antifungal drug prescriptions combined with an expanded list of host and clinical features. METHODS: We reviewed 103 patients at MD Anderson Cancer Center (Houston, Texas), who lived in Harvey-affected counties and had mould-positive cultures within 12 months pre-/post-Harvey (36 and 67 patients, respectively). Cases were classified as proven or probable IMI (EORTC/MSG criteria), mcIMI, or colonization/contamination. We also compared in-hospital mortality and 42- day survival outcomes of patients with mcIMI pre-/post-Harvey. RESULTS: The number of patients with mould- positive cultures from Harvey-affected counties almost doubled from 36 pre- Harvey to 67 post- Harvey (p < 0.01). In contrast, no significant changes in (mc)IMI incidence post-Harvey nor changes in the aetiological mould genera were noted. However, patients with mcIMIs from flood affected areas had significantly higher in-hospital mortality (p = 0.01). CONCLUSIONS: We observed increased colonization but no excess cases of (mc)IMIs in immunosuppressed cancer patients from affected areas following a large flooding event such as hurricane Harvey.
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.
INTRODUCTION: Natural disasters are increasingly common and devastating. It is essential to understand children’s health needs during disasters as they are a particularly vulnerable population. The objective of this study was to evaluate pediatric disease burden after Hurricane Harvey compared to the preceding month and the same period in the previous year to inform pediatric disaster preparedness. METHODS: This was a retrospective cross-sectional study of patients seen at pediatric emergency departments (ED) and urgent care centers (UCC) 30 days before (late summer) and after (early fall) the hurricane and from the same time period in 2016. We collected demographic information and the first five discharge diagnoses from a network of EDs and UCCs affiliated with a quaternary care children’s hospital in Houston, Texas. We calculated the odds of disease outcomes during various timeframes using binary logistic regression modeling. RESULTS: There were 20,571 (median age: 3.5 years, 48.1% female) and 18,943 (median age: 3.5 years, 47.3% female) patients in 2016 and 2017, respectively. Inpatient admission rates from the ED a month after Harvey were 20.5%, compared to 25.3% in the same period in 2016 (P<0.001). In both years, asthma and other respiratory illnesses increased from late summer to early fall. After controlling for these seasonal trends, the following diseases were more commonly seen after the hurricane: toxicological emergencies (adjusted odds ratio [aOR]: 2.61, 95% [confidence interval] CI, 1.35-5.05); trauma (aOR: 1.42, 95% CI, 1.32-1.53); and dermatological complaints (aOR: 1.34, 95% CI, 1.23-1.46). CONCLUSION: We observed increases in rashes, trauma, and toxicological diagnoses in children after a major flood. These findings highlight the need for more medication resources and public health and education measures focused on pediatric disaster preparedness and management.
BACKGROUND: Flooding following heavy rains precipitated by hurricanes has been shown to impact the health of people. Earth observations can be used to identify inundation extents for subsequent analysis of health risks associated with flooding at a fine spatio-temporal scale. OBJECTIVE: To evaluate emergency department (ED) visits before, during, and following flooding caused by Hurricane Harvey in 2017 in Texas. METHODS: A controlled before and after design was employed using 2016-2018 ED visits from flooded and non-flooded census tracts. ED visits between landfall of the hurricane and receding of flood waters were considered within the flood period and post-flood periods extending up to 4 months were also evaluated. Modified Poisson regression models were used to estimate adjusted rate ratios for total and cause specific ED visits. RESULTS: Flooding was associated with increased ED visits for carbon monoxide poisoning, insect bite, dehydration, hypothermia, intestinal infectious diseases, and pregnancy complications. During the month following the flood period, the risk for pregnancy complications and insect bite was still elevated in the flooded tracts. SIGNIFICANCE: Earth observations coupled with ED visits increase our understanding of the short-term health risks during and following flooding, which can be used to inform preparedness measures to mitigate adverse health outcomes and identify localities with increased health risks during and following flooding events.
BACKGROUND: Hurricane Florence made landfall in North Carolina in September 2018 causing extensive flooding. Several potential point sources of hazardous substances and Superfund sites sustained water damage and contaminants may have been released into the environment. OBJECTIVE: This study conducted temporal analysis of contaminant distribution and potential human health risks from Hurricane Florence-associated flooding. METHODS: Soil samples were collected from 12 sites across four counties in North Carolina in September 2018, January and May 2019. Chemical analyses were performed for organics by gas chromatography-mass spectrometry. Metals were analyzed using inductively coupled plasma mass spectrometry. Hazard index and cancer risk were calculated using EPA Regional Screening Level Soil Screening Levels for residential soils. RESULTS: PAH and metals detected downstream from the coal ash storage pond that leaked were detected and were indicative of a pyrogenic source of contamination. PAH at these sites were of human health concern because cancer risk values exceeded 1 × 10(-6) threshold. Other contaminants measured across sampling sites, or corresponding hazard index and cancer risk, did not exhibit spatial or temporal differences or were of concern. SIGNIFICANCE: This work shows the importance of rapid exposure assessment following natural disasters. It also establishes baseline levels of contaminants for future comparisons.
IMPORTANCE: Hurricanes and flooding can interrupt health care utilization. Understanding the magnitude and duration of interruptions, as well as how they vary according to hazard exposure, race, and income, are important for identifying populations in need of greater retention in care. OBJECTIVE: To determine how the differential exposure to Hurricane Harvey in August 2017 is associated with changes in utilization of Veterans Health Administration health care. DESIGN, SETTING, AND PARTICIPANTS: This is a retrospective cohort analysis of primary care practitioner (PCP) visits, emergency department visits, and inpatient admissions in the Veterans Health Administration among Texas veterans residing in counties impacted by Hurricane Harvey from 2016 to 2018. Data analysis was performed from September 2020 to May 2021. EXPOSURES: Residential flooding after Hurricane Harvey. MAIN OUTCOMES AND MEASURES: Interrupted time series analysis measured changes in health care utilization over time, stratified by residential flood exposure, race, and income. RESULTS: Of the 99858 patients in the cohort, 89931 (90.06%) were male, and their median (range) age was 58 (21 to 102) years. Compared with veterans in nonflooded areas, veterans living in flooded areas were more likely to be Black (24?ǻ715 veterans [33.80%] vs 4237 veterans [15.85%]) and low-income (14895 veterans [20.37%] vs 4853 veterans [18.15%]). Rates of PCP visits decreased by 49.78% (95% CI, -64.52% to -35.15%) for veterans in flooded areas and by 45.89% (95% CI, -61.93% to -29.91%) for veterans in nonflooded areas and did not rebound until more than 8 weeks after the hurricane. Rates of PCP visits in flooded areas remained lower than expected for 11 weeks among White veterans (-6.99%; 95% CI, -14.36% to 0.81%) and for 13 weeks among racial minority veterans (-7.22%; 95% CI, -14.11% to 0.30%). Low-income veterans, regardless of flood status, experienced greater suppression of PCP visits in the 8 weeks following the hurricane (-13.72%; 95% CI, -20.51% to -6.68%) compared with their wealthier counterparts (-9.63%; 95% CI, -16.74% to -2.26%). CONCLUSIONS AND RELEVANCE: These findings suggest that flood disasters such as Hurricane Harvey may be associated with declines in health care utilization that differ according to flood status, race, and income strata. Patients most exposed to the disaster also had the greatest delay or nonreceipt of care.
In August 2017, after Hurricane Harvey made landfall, almost 52 inches of rain fell during a three-day period along the Gulf Coast Region of Texas, including Harris County, where Houston is located. Harris County was heavily impacted with over 177,000 homes and buildings (approximately 12 percent of all buildings in the county) experiencing flooding. The objective of this study was to measure 13 heavy metals in soil in residential areas and to assess cancer and non-cancer risk for children and adults after floodwaters receded. Between September and November 2017, we collected 174 surface soil samples in 10 communities, which were classified as “High Environmental Impact” or “Low Environmental Impact” communities, based on a composite metric of six environmental parameters. A second campaign was conducted between May 2019 and July 2019 when additional 204 soil samples were collected. Concentrations of metals at both sampling campaigns were higher in High Environmental Impact communities than in Low Environmental Impact communities and there was little change in metal levels between the two sampling periods. The Pollution Indices of lead (Pb), zinc, copper, nickel, and manganese in High Environmental Impact communities were significantly higher than those in Low Environmental Impact communities. Further, cancer risk estimates in three communities for arsenic through soil ingestion were greater than 1 in 1,000,000. Although average soil Pb was lower than the benchmark of the United States Environmental Protection Agency, the hazard indices for non-cancer outcomes in three communities, mostly attributed to Pb, were greater than 1. Health risk estimates for children living in these communities were greater than those for adults.
BACKGROUND: Social inequities affecting minority populations after Hurricane Katrina led to an expansion of environmental justice literature. In August 2017, Hurricane Harvey rainfall was estimated as a 3000- to 20,000-year flood event, further affecting minority populations with disproportionate stroke prevalence. The Stomp Out Stroke initiative leveraged multimedia engagement, creating a patient-centered cerebrovascular health intervention. OBJECTIVE: This study aims to address social inequities in cerebrovascular health through the identification of race- or ethnicity-specific health needs and the provision of in-person stroke prevention screening during two community events (May 2018 and May 2019). METHODS: Stomp Out Stroke recruitment took place through internet-based channels (websites and social networking). Exclusively through web registration, Stomp Out Stroke participants (aged >18 years) detailed sociodemographic characteristics, family history of stroke, and stroke survivorship. Participant health interests were compared by race or ethnicity using Kruskal-Wallis or chi-square test at an α=.05. A Bonferroni-corrected P value of .0083 was used for multiple comparisons. RESULTS: Stomp Out Stroke registrants (N=1401) were 70% (973/1390) female (median age 45 years) and largely self-identified as members of minority groups: 32.05% (449/1401) Hispanic, 25.62% (359/1401) African American, 13.63% (191/1401) Asian compared with 23.63% (331/1401) non-Hispanic White. Stroke survivors comprised 11.55% (155/1401) of our population. A total of 124 stroke caregivers participated. Approximately 36.81% (493/1339) of participants had a family history of stroke. African American participants were most likely to have Medicare or Medicaid insurance (84/341, 24.6%), whereas Hispanic participants were most likely to be uninsured (127/435, 29.2%). Hispanic participants were more likely than non-Hispanic White participants to obtain health screenings (282/449, 62.8% vs 175/331, 52.9%; P=.03). Asian (105/191, 54.9%) and African American (201/359, 55.9%) participants were more likely to request stroke education than non-Hispanic White (138/331, 41.6%) or Hispanic participants (193/449, 42.9%). African American participants were more likely to seek overall health education than non-Hispanic White participants (166/359, 46.2% vs 108/331, 32.6%; P=.002). Non-Hispanic White participants (48/331, 14.5%) were less likely to speak to health care providers than African American (91/359, 25.3%) or Asian participants (54/191, 28.3%). During the 2018 and 2019 events, 2774 health screenings were completed across 12 hours, averaging four health screenings per minute. These included blood pressure (1031/2774, 37.16%), stroke risk assessment (496/2774, 17.88%), bone density (426/2774, 15.35%), carotid ultrasound (380/2774, 13.69%), BMI (182/2774, 6.56%), serum lipids (157/2774, 5.65%), and hemoglobin A(1c) (102/2774, 3.67%). Twenty multimedia placements using the Stomp Out Stroke webpage, social media, #stompoutstroke, television, iQ radio, and web-based news reached approximately 849,731 people in the Houston area. CONCLUSIONS: Using a combination of internet-based recruitment, registration, and in-person assessments, Stomp Out Stroke identified race- or ethnicity-specific health care needs and provided appropriate screenings to minority populations at increased risk of urban flooding and stroke. This protocol can be replicated in Southern US Stroke Belt cities with similar flood risks.
BACKGROUND: Chronic obstructive pulmonary disease (COPD) is the third-leading cause of death worldwide with continuous rise. Limited studies indicate that COPD was associated with major storms and related power outages (PO). However, significant gaps remain in understanding what PO’s role is on the pathway of major storms-COPD. This study aimed to examine how PO mediates the major storms-COPD associations. METHODS: In this time-series study, we extracted all hospital admissions with COPD as the principal diagnosis in New York, 2001-2013. Using distributed lag nonlinear models, the hospitalization rate during major storms and PO was compared to non-major storms and non-PO periods to determine the risk ratios (RRs) for COPD at each of 0-6 lag days respectively after controlling for time-varying confounders and concentration of fine particulate matter (PM(2.5)). We then used Granger mediation analysis for time series to assess the mediation effect of PO on the major storms-COPD associations. RESULTS: The RRs of COPD hospitalization following major storms, which mainly included flooding, thunder, hurricane, snow, ice, and wind, were 1.23 to 1.49 across lag 0-6 days. The risk was strongest at lag3 and lasted significantly for 4 days. Compared with non-outage periods, the PO period was associated with 1.23 to 1.61 higher risk of COPD admissions across lag 0-6 days. The risk lasted significantly for 2 days and was strongest at lag2. Snow, hurricane and wind were the top three contributors of PO among the major storms. PO mediated as much as 49.6 to 65.0% of the major storms-COPD associations. CONCLUSIONS: Both major storms and PO were associated with increased hospital admission of COPD. PO mediated almost half of the major storms-COPD hospitalization associations. Preparation of surrogate electric system before major storms is essential to reduce major storms-COPD hospitalization.
BACKGROUND: Making landfall in Rockport, Texas in August 2017, Hurricane Harvey resulted in unprecedented flooding, displacing tens of thousands of people, and creating environmental hazards and exposures for many more. OBJECTIVE: We describe a collaborative project to establish the Texas Flood Registry to track the health and housing impacts of major flooding events. METHODS: Those who enroll in the registry answer retrospective questions regarding the impact of storms on their health and housing status. We recruit both those who did and did not flood during storm events to enable key comparisons. We leverage partnerships with multiple local health departments, community groups, and media outlets to recruit broadly. We performed a preliminary analysis using multivariable logistic regression and a binomial Bayesian conditional autoregressive (CAR) spatial model. RESULTS: We find that those whose homes flooded, or who came into direct skin contact with flood water, are more likely to experience a series of self-reported health effects. Median household income is inversely related to adverse health effects, and spatial analysis provides important insights within the modeling approach. SIGNIFICANCE: Global climate change is likely to increase the number and intensity of rainfall events, resulting in additional health burdens. Population-level data on the health and housing impacts of major flooding events is imperative in preparing for our planet’s future.
Maria made a landfall in Puerto Rico on September 20, 2017 as a category 4 hurricane, causing severe flooding, widespread electricity outages, damage to infrastructure, and interruptions in water and wastewater treatment. Small rural community water systems face unique challenges in providing drinking water, which intensify after natural disasters. The purpose of this study was to evaluate the functionality of six very small rural public water systems and one large regulated system in Puerto Rico six months after Maria and survey a broad sweep of fecal, zoonotic, and opportunistic pathogens from the source to tap. Samples were collected from surface and groundwater sources, after water treatment and after distribution to households. Genes indicative of pathogenic Leptospira spp. were detected by polymerase chain reaction (PCR) in all systems reliant on surface water sources. Salmonella spp. was detected in surface and groundwater sources and some distribution system water both by culture and PCR. Legionella spp. and Mycobacteria spp. gene numbers measured by quantitative PCR were similar to nonoutbreak conditions in the continental U.S. Amplicon sequencing provided a nontarget screen for other potential pathogens of concern. This study aids in improving future preparedness, assessment, and recovery operations for small rural water systems after natural disasters.
Hurricanes often flood homes and industries, spreading pathogens. Contact with pathogen-contaminated water can result in diarrhea, vomiting, and/or nausea, known collectively as acute gastrointestinal illness (AGI). Hurricanes Matthew and Florence caused record-breaking flooding in North Carolina (NC) in October 2016 and September 2018, respectively. To examine the relationship between hurricane flooding and AGI in NC, we first calculated the percent of each ZIP code flooded after Hurricanes Matthew and Florence. Rates of all-cause AGI emergency department (ED) visits were calculated from NC’s ED surveillance system data. Using controlled interrupted time series, we compared AGI ED visit rates during the three weeks after each hurricane in ZIP codes with a third or more of their area flooded to the predicted rates had these hurricanes not occurred, based on AGI 2016-2019 ED trends, and controlling for AGI ED visit rates in unflooded areas. We examined alternative case definitions (bacterial AGI) and effect measure modification by race and age. We observed an 11% increase (rate ratio (RR): 1.11, 95% CI: 1.00, 1.23) in AGI ED visit rates after Hurricanes Matthew and Florence. This effect was particularly strong among American Indian patients and patients aged 65 years and older after Florence and elevated among Black patients for both hurricanes. Florence’s effect was more consistent than Matthew’s effect, possibly because little rain preceded Florence and heavy rain preceded Matthew. When restricted to bacterial AGI, we found an 85% (RR: 1.85, 95% CI: 1.37, 2.34) increase in AGI ED visit rate after Florence, but no increase after Matthew. Hurricane flooding is associated with an increase in AGI ED visit rate, although the strength of effect may depend on total storm rainfall or antecedent rainfall. American Indians and Black people-historically pushed to less desirable, flood-prone land-may be at higher risk for AGI after storms.
BACKGROUND: While most prior research has focused on extreme heat, few assessed the immediate health effects of winter storms and associated power outages (PO), although severe storms have become more frequent. This study evaluates the joint and independent health effects of winter storms and PO, snow versus ice-storm, effects by time window (peak timing, winter/transitional months) and the impacts on critical care indicators including numbers of comorbidity, procedure, length of stay and cost. METHODS: We use distributed lag nonlinear models to assess the impacts of winter storm/PO on hospitalizations due to cardiovascular, lower respiratory diseases (LRD), respiratory infections, food/water-borne diseases (FWBD) and injuries in New York State on 0-6 lag days following storm/PO compared with non-storm/non-PO periods (references), while controlling for time-varying factors and PM(2.5). The storm-related hospitalizations are described by time window. We also calculate changes in critical care indicators between the storm/PO and control periods. RESULTS: We found the joint effects of storm/PO are the strongest (risk ratios (RR) range: 1.01-1.90), followed by that of storm alone (1.02-1.39), but not during PO alone. Ice storms have stronger impacts (RRs: 1.04-3.15) than snowstorms (RRs: 1.03-2.21). The storm/PO-health associations, which occur immediately, and some last a whole week, are stronger in FWBD, October/November, and peak between 3:00-8:00 p.m. Comorbidity and medical costs significantly increase after storm/PO. CONCLUSION: Winter storms increase multiple diseases, comorbidity and medical costs, especially when accompanied by PO or ice storms. Early warnings and prevention may be critical in the transitional months and afternoon rush hours.
Hurricanes and associated stormwater runoff events are expected to greatly impact coastal marine water quality, yet little is known about their immediate effects on microbiological quality of near-shore water. This study sampled Hilo Bay immediately after the impact of Hurricane Lane to understand the spatial and temporal variations of the abundance and diversity of fecal indicator enterococci, common fecal pathogens, and antibiotic resistance genes (ARGs). Water samples from seven sampling sites over 7 days were collected and analyzed, which showed that the overall microbiological water quality parameters [enterococci geometric mean (GM): 6-22 cfu/100 mL] fell within water quality standards and that the temporal dynamics indicated continuing water quality recovery. However, considerable spatial variation was observed, with the most contaminated site exhibiting impaired water quality (GM = 144 cfu/100 mL). The Enterococcus population also showed distinct genotypic composition at the most contaminated site. Although marker genes for typical fecal pathogens (invA for Salmonella, hipO for Campylobacter, mip for Legionella pneumophila, and eaeA for enteropathogenic Escherichia coli) were not detected, various ARGs (ermB, qurS, tetM, blaTEM, and sul1) and integron-associated integrase intI1 were detected at high levels. Understanding the temporal and spatial variation of microbiological water quality at fine granularity is important for balancing economic and recreational uses of coastal water and the protection of public health post the impact of major hurricane events.
Densely populated, low-lying coastal areas are most at-risk for negative impacts from increasing intensity of storm-induced flooding. Due to the effects of global warming and subsequent climate change, coastal temperatures and the magnitude of storm-induced flooding are projected to increase, creating a hospitable environment for the aquatic Vibrio spp. bacteria. A relative risk model analysis was used to determine which census block groups in coastal South Carolina have the highest risk of Vibrio spp. exposure using storm surge flooding as a proxy. Coastal block groups with dense vulnerable sub-populations exposed to storm surge have the highest relative risk, while inland block groups away from riverine-mediated storm surge have the lowest relative risk. As Vibriosis infections may be extremely severe or even deadly, the best methods of infection control will be regular standardized coastal and estuarine water monitoring for Vibrio spp. to enable more informed and timely public health advisories and help prevent future exposure.
BACKGROUND: In March 2020, the Louisiana Department of Health activated the Medical Monitoring Station (MMS) in downtown New Orleans. This alternative care site is designed to decompress hospitals and nursing homes overwhelmed by the coronavirus disease 2019 (COVID-19) pandemic. Given the city’s historic vulnerability to hurricanes, planning for possible tropical weather events has been a priority for MMS leadership. METHODS: The planning process incorporated input from all sectors/agencies working at the facility, to ensure consistency and cohesion. The MMS Shelter-in-Place Plan (MSIPP) was created, and a comprehensive tabletop exercise was conducted. RESULTS: Six planning topics emerged as a result of the planning process and were used to create a comprehensive plan for sheltering-in-place. These topics address hurricane preparedness for patient care, interfacility coordination, wrap-around services, medical logistics, essential staffing, and incident command during a shelter-in-place scenario. CONCLUSIONS: The MSIPP created by the MMS helped to maximize patient safety and continuity of operations during a real-world event. Select pieces of the plan were activated to meet the needs and threat level of Tropical Storm Cristobal. This experience reinforced the need for originality, scalability, and flexibility in building emergency operations plans in the midst of an unprecedented pandemic.
BACKGROUND: In August 2017, Hurricane Harvey caused unprecedented flooding across the greater Houston area. Given the potential for widespread flood-related exposures, including mold and sewage, and the emotional and mental toll caused by the flooding, we sought to evaluate the short- and long-term impact of flood-related exposures on the health of Houstonians. Our objectives were to assess the association of flood-related exposures with allergic symptoms and stress among Houston-area residents at two time points: within approximately 30 days (T1) and 12 months (T2) after Hurricane Harvey’s landfall. METHODS: The Houston Hurricane Harvey Health (Houston-3H) Study enrolled a total of 347 unique participants from four sites across Harris County at two times: within approximately 1-month of Harvey (T1, n = 206) and approximately 12-months after Harvey (T2, n = 266), including 125 individuals who participated at both time points. Using a self-administered questionnaire, participants reported details on demographics, flood-related exposures, and health outcomes, including allergic symptoms and stress. RESULTS: The majority of participants reported hurricane-related flooding in their homes at T1 (79.1%) and T2 (87.2%) and experienced at least one allergic symptom after the hurricane (79.4% at T1 and 68.4% at T2). In general, flood-exposed individuals were at increased risk of upper respiratory tract allergic symptoms, reported at both the T1 and T2 time points, with exposures to dirty water and mold associated with increased risk of multiple allergic symptoms. The mean stress score of study participants at T1 was 8.0 ± 2.1 and at T2, 5.1 ± 3.2, on a 0-10 scale. Participants who experienced specific flood-related exposures reported higher stress scores when compared with their counterparts, especially 1 year after Harvey. Also, a supplementary paired-samples analysis showed that reports of wheezing, shortness of breath, and skin rash did not change between T1 and T2, though other conditions were less commonly reported at T2. CONCLUSION: These initial Houston-3H findings demonstrate that flooding experiences that occurred as a consequence of Hurricane Harvey had lasting impacts on the health of Houstonians up to 1 year after the hurricane.
Extensive flooding caused by Hurricane María in Puerto Rico (PR) created favorable conditions for indoor growth of filamentous fungi. These conditions represent a public health concern as contamination by environmental fungi is associated with a higher prevalence of inflammatory respiratory conditions. This work compares culturable fungal spore communities present in homes that sustained water damage after Hurricane María to those present in dry, non-flooded homes. We collected air samples from 50 houses in a neighborhood in San Juan, PR, 12 and 22 months after Hurricane María. Self-reported data was used to classify the homes as flooded, water-damage or dry non-flooded. Fungi abundances, composition and diversity were analyzed by culturing on two media. Our results showed no significant differences in indoor fungal concentrations (CFU/m(3)) one year after the Hurricane in both culture media studied (MEA and G25N). During the second sampling period fungal levels were 2.7 times higher in previously flooded homes (Median = 758) when compared to dry homes (Median = 283), (p-value < 0.005). Fungal profiles showed enrichment of Aspergillus species inside flooded homes compared to outdoor samples during the first sampling period (FDR-adjusted p-value = 0.05). In contrast, 22 months after the storm, indoor fungal composition consisted primarily of non-sporulated fungi, most likely basidiospores, which are characteristic of the outdoor air in PR. Together, this data highlights that homes that suffered water damage not only have higher indoor proliferation of filamentous fungi, but their indoor fungal populations change over time following the Hurricane. Ultimately, after nearly two years, indoor and outdoor fungal communities converged in this sample of naturally ventilated homes.
BACKGROUND: Hurricane Harvey made landfall along the Texas Gulf Coast as a Category 4 hurricane on August 25, 2017, producing unprecedented precipitation that devastated coastal areas. Catastrophic flooding in the City of Houston inundated industrial and residential properties resulting in the displacement and transfer of soil, sediment, and debris and heightening existing environmental justice (EJ) concerns. OBJECTIVES: The primary aim of this study was to evaluate the presence, distribution, and potential human health implications of polycyclic aromatic hydrocarbons (PAHs) in a residential neighborhood of Houston, Texas following a major hurricane. METHODS: Concentrations of PAHs in 40 soil samples collected from a residential neighborhood in Houston, Texas were measured. Spatial interpolation was applied to determine the distribution of PAHs. Potential human health risks were evaluated by calculating toxicity equivalency quotients (TEQs) and incremental excess lifetime cancer risk (IELCR). RESULTS: Total priority PAH concentrations varied across samples (range: 9.7 × 10(1) ng/g-1.6 × 10(4) ng/g; mean: 3.0 × 10(3) ng/g ± 3.6 × 10(3) standard deviation). Spatial analysis indicated a variable distribution of PAH constituents and concentrations. The IELCR analysis indicated that nine of the 40 samples were above minimum standards. CONCLUSIONS: Findings from this study highlight the need for fine scale soil testing in residential areas as well as the importance of site-specific risk assessment. COMPETING INTERESTS: The authors declare no competing financial interests.
Unprecedented inland precipitation and catastrophic flooding associated with Hurricane Harvey potentially redistributed contaminants from industrial sites and transportation infrastructure to recreational areas that make up networks of green infrastructure, creeks, and waterways used for flood control throughout the Greater Houston Area. Sediment samples were collected in parks located near the Buffalo Bayou watershed 1 week after Hurricane Harvey made landfall and again 7 weeks later. Total concentrations of the U.S. Environmental Protection Agency’s (EPA’s) 16 priority polycyclic aromatic hydrocarbons (PAHs) were measured in each sample at both time points. Diagnostic ratios were calculated to improve understanding of potential sources of PAHs after flooding. Diagnostic ratios suggest vehicular traffic to be a potential source for PAHs in parks. Although the concentrations of PAHs in all samples were below EPA actionable levels, given that no background values were available for comparison, it is difficult to quantify the impact flooding from Hurricane Harvey had on PAH concentrations in Houston parks. However, given the high frequency of flooding in Houston, and the concentration of industrial facilities and transportation infrastructure adjacent to recreation areas, these data demonstrate that PAHs were still present after unprecedented flooding. This study may also serve as a baseline for future efforts to understand the environmental health impacts of disasters.
Hurricane Harvey was a category four storm that induced catastrophic flooding in the Houston metropolitan area. Following the hurricane there was increased concern regarding chemical exposures due to damage caused by flood waters and emergency excess emissions from industrial facilities. This study utilized personal passive samplers in the form of silicone wristbands in Houston, TX to both assess chemical exposure to endocrine disrupting chemicals (EDCs) immediately after the hurricane and determine participant characteristics associated with higher concentrations of exposure. Participants from the Houston-3H cohort (n = 172) wore a wristband for seven days and completed a questionnaire to determine various flood-related and demographic variables. Bivariate and multivariate analysis indicated that living in an area with a high Area Deprivation Index (ADI) (indicative of low socioeconomic status), identifying as Black/African American or Latino, and living in the Houston neighborhoods of Baytown and East Houston were associated with increased exposure to EDCs. These results provide evidence of racial/ethnic and socioeconomic injustices in exposure to EDCs in the Houston Metropolitan Area. Since the multiple regression models conducted did not fully explain exposure (0.047 < R2 < 0.34), more research is needed on the direct sources of EDCs within this area to create effective exposure mitigation strategies.
BACKGROUND: Natural disasters and public health crises can disrupt communities’ capacities to implement important public health programs. A nationwide implementation of an evidence-based HIV prevention program, Focus on Youth in The Caribbean (FOYC) and Caribbean Informed Parents and Children Together (CImPACT), in The Bahamas was disrupted by Hurricane Dorian and the COVID-19 pandemic, especially in its more remote, Family Islands. We explored the teacher- and school-level factors that affected implementation of the program in these islands during those disruptions. METHODS: Data were collected from 47 Grade 6 teachers and 984 students in 34 government elementary schools during the 2020-2021 school year. Teachers completed a pre-implementation questionnaire to record their characteristics and perceptions that might affect their implementation fidelity and an annual program training workshop. School coordinators and high-performing teachers acting as mentors received additional training to provide teachers with monitoring, feedback, and additional support. Teachers submitted data on their completion of the 9 sessions and 35 core activities of FOYC + CImPACT. The fidelity outcomes were the number of sessions and core activities taught by teachers. RESULTS: On average, teachers taught 60% of sessions and 53% of core activities. Teachers with “very good” school coordinators (34% of teachers) taught more activities than those with “satisfactory” (43%) or no (34%) school coordinator (27.5 vs. 16.8 vs. 14.8, F = 12.86, P < 0.001). Teachers who had attended online training or both online and in-person training taught more sessions (6.1 vs. 6.2 vs. 3.6, F = 4.76, P < 0.01) and more core activities (21.1 vs. 20.8 vs. 12.6, F = 3.35, P < 0.05) than those who received no training. Teachers’ implementation was associated with improved student outcomes (preventive reproductive health skills, self-efficacy, and intention). CONCLUSIONS: The Hurricane Dorian and the COVID-19 pandemic greatly disrupted education in The Bahamas Family Islands and affected implementation of FOYC + CImPACT. However, we identified several strategies that supported teachers’ implementation following these events. Teacher training and implementation monitoring increased implementation fidelity despite external challenges, and students achieved the desired learning outcomes. These strategies can better support teachers’ implementation of school-based interventions during future crises.
Purpose The purpose of this paper is to analyze the context of the emergence of a skin infection outbreak in the aftermath of Hurricane Matthew in Haiti and detail the role of community-based participatory research in mobilizing local action in a country with low state capacity. Design/methodology/approach While implementing a post-disaster study that combined a survey of 984 households and 69 community leaders with 23 focus groups, 60 ethnographic interviews and community mapping, a skin infection outbreak was detected. Using study results, the research team in partnership with different stakeholders responded to the outbreak with a health intervention. Findings The findings illustrate how pre-existing conditions shape local communities’ vulnerability to health crises in the aftermath of disasters and the critical role research can play in informing the recovery processes. Community-based approaches to emergency health reinforced by multi-stakeholder partnerships with local government can strengthen post-disaster response and governance structures setting the groundwork for the development of local resilience. Research limitations/implications The health intervention was implemented as a result of the study. Patients served were not derived from the study sample but were self-selected based on their need for skin-related medical treatment. Originality/value This article highlights the integral role research can play in identifying the health impacts of disaster events in vulnerable, hard-to-reach communities and strengthening government involvement in disaster governance.
The 2020 Atlantic hurricane season was notable for a record-setting 30 named storms while, contemporaneously, the COVID-19 pandemic was circumnavigating the globe. The active spread of COVID-19 complicated disaster preparedness and response actions to safeguard coastal and island populations from hurricane hazards. Major hurricanes Eta and Iota, the most powerful storms of the 2020 Atlantic season, made November landfalls just two weeks apart, both coming ashore along the Miskito Coast in Nicaragua’s North Caribbean Coast Autonomous Region. Eta and Iota bore the hallmarks of climate-driven storms, including rapid intensification, high peak wind speeds, and decelerating forward motion prior to landfall. Hurricane warning systems, combined with timely evacuation and sheltering procedures, minimized loss of life during hurricane impact. Yet these protective actions potentially elevated risks for COVID-19 transmission for citizens sharing congregate shelters during the storms and for survivors who were displaced post-impact due to severe damage to their homes and communities. International border closures and travel restrictions that were in force to slow the spread of COVID-19 diminished the scope, timeliness, and effectiveness of the humanitarian response for survivors of Eta and Iota. Taken together, the extreme impacts from hurricanes Eta and Iota, compounded by the ubiquitous threat of COVID-19 transmission, and the impediments to international humanitarian response associated with movement restrictions during the pandemic, acted to exacerbate harms to population health for the citizens of Nicaragua.
INTRODUCTION: As a result of destruction and lack of access to vital infrastructures and mental stress, disasters intensify cardiovascular diseases (CVDs) and hence management of CVDs becomes more challenging. The aim of this study is investigating incidence and prevalence of CVDs, morbidity and mortality of CVDs, treatment and management of CVDs at the time of natural disasters. METHODS: In the present systematic review, the articles published in English language until 28. 11. 2020, which studied CVDs in natural disasters were included. The inclusion criteria were CVDs such as myocardial infarction (MI), acute coronary syndrome (ACS), hypertension (HTN), pulmonary edema, and heart failure (HF) in natural disasters such as earthquake, flood, storm, hurricane, cyclone, typhoon, and tornado. RESULT: The search led to accessing 4426 non-duplicate records. Finally, the data of 104 articles were included in quality appraisal. We managed to find 4, 21 and 79 full text articles, which considered cardiovascular diseases at the time of flood, storm, and earthquake, respectively. CONCLUSION: Prevalence of CVD increases after disasters. Lack of access to medication or lack of medication adjustment, losing home blood pressure monitor as a result of destruction and physical and mental stress after disasters are of the most significant challenges of controlling and managing CVDs. By means of quick establishment of health clinics, quick access to appropriate diagnosis and treatment, providing and access to medication, self-management, and self-care incentives along with appropriate medication and non-medication measures to control stress, we can better manage and control cardiovascular diseases, particularly hypertension.
Climate change is increasing the frequency and intensity of extreme precipitation events, the impacts of which disproportionately impact urban populations. Pluvial flooding and flooding related sewer backups are thought to result in an increase in potentially hazardous human-pathogen encounters. However, the extent and nature of associations between flooding events and non-communicable respiratory diseases such as chronic bronchitis, asthma, and chronic obstructive pulmonary disease (COPD) are not well understood. This research seeks to characterize the state of research on flooding and NCRDs through a systematic review of the scientific literature. We conducted a systematic search of PubMed, Web of Science, and Scopus for published scholarly research papers using the terms flooding, monsoon, and tropical storm with terms for common NCRDs such as asthma, COPD, and chronic bronchitis. Papers were included if they covered research studies on individuals with defined outcomes of flooding events. We excluded review papers, case studies, and opinion pieces. We retrieved 200 articles from PubMed, 268 from Web of Science and 203 from Scopus which comprised 345 unique papers. An initial review of abstracts yielded 38 candidate papers. A full text review of each left 16 papers which were included for the review. All papers except for one found a significant association between a severe weather event and increased risk for at least one of the NCRDs included in this research. Our findings further suggest that extreme weather events may worsen pre-existing respiratory conditions and increase the risk of development of asthma. Future work should focus on more precisely defining measure of health outcomes using validated tools to describe asthma and COPD exacerbations. Research efforts should also work to collect granular data on patients’ health status and family history and assess possible confounding and mediating factors such as neighborhood water mitigation infrastructure, housing conditions, pollen counts, and other environmental variables.
OBJECTIVE: Information gaps that accompany hurricanes and floods limit researchers’ ability to determine the impact of disasters on population health. Defining key use cases for sharing complex disaster data with research communities and facilitators, and barriers to doing so are key to promoting population health research for disaster recovery. MATERIALS AND METHODS: We conducted a mixed-methods needs assessment with 15 population health researchers using interviews and card sorting. Interviews examined researchers’ information needs by soliciting barriers and facilitators in the context of their expertise and research practices. Card sorting ranked priority use cases for disaster preparedness. RESULTS: Seven barriers and 6 facilitators emerged from interviews. Barriers to collaborative research included process limitations, collaboration dynamics, and perception of research importance. Barriers to data and technology adoption included data gaps, limitations in information quality, transparency issues, and difficulty to learn. Facilitators to collaborative research included collaborative engagement and human resource processes. Facilitators to data and technology adoption included situation awareness, data quality considerations, adopting community standards, and attractive to learn. Card sorting prioritized 15 use cases and identified 30 additional information needs for population health research in disaster preparedness. CONCLUSIONS: Population health researchers experience barriers to collaboration and adoption of data and technology that contribute to information gaps and limit disaster preparedness. The priority use cases we identified can help address information gaps by informing the design of supportive research tools and practices for disaster preparedness. Supportive tools should include information on data collection practices, quality assurance, and education resources usable during failures in electric or telecommunications systems.
PURPOSE OF REVIEW: Tropical cyclones impact human health, sometimes catastrophically. Epidemiological research characterizes these health impacts and uncovers pathways between storm hazards and health, helping to mitigate the health impacts of future storms. These studies, however, require researchers to identify people and areas exposed to tropical cyclones, which is often challenging. Here we review approaches, tools, and data products that can be useful in this exposure assessment. RECENT FINDINGS: Epidemiological studies have used various operational measures to characterize exposure to tropical cyclones, including measures of physical hazards (e.g., wind, rain, flooding), measures related to human impacts (e.g., damage, stressors from the storm), and proxy measures of distance from the storm’s central track. The choice of metric depends on the research question asked by the study, but there are numerous resources available that can help in capturing any of these metrics of exposure. Each has strengths and weaknesses that may influence their utility for a specific study. Here we have highlighted key tools and data products that can be useful for exposure assessment for tropical cyclone epidemiology. These results can guide epidemiologists as they design studies to explore how tropical cyclones influence human health.
BACKGROUND: The frequency and destructiveness of hurricanes and related extreme weather events (e.g., cyclones, severe storms) have been increasing due to climate change. A growing body of evidence suggests that victims of hurricanes have increased incidence of cardiovascular disease (CVD), likely due to increased stressors around time of the hurricane and in their aftermath. OBJECTIVES: The objective was to systematically examine the evidence of the association between hurricanes (and related extreme weather events) and adverse CVD outcomes with the goal of understanding the gaps in the literature. METHODS: A comprehensive literature search of population-level and cohort studies focused on CVD outcomes (i.e., myocardial infarction, stroke, and heart failure) related to hurricanes, cyclones, and severe storms was performed in the following databases from inception to December 2021: Ovid MEDLINE, Ovid EMBASE, Web of Science, and The Cochrane Library. Studies retrieved were then screened for eligibility against predefined inclusion/exclusion criteria. Studies were then qualitatively synthesized based on the time frame of the CVD outcomes studied and special populations that were studied. Gaps in the literature were identified based on this synthesis. RESULTS: Of the 1,103 citations identified, 48 met our overall inclusion criteria. We identified articles describing the relationship between CVD and extreme weather, primarily hurricanes, based on data from the United States (42), Taiwan (3), Japan (2), and France (1). Outcomes included CVD and myocardial infarction-related hospitalizations (30 studies) and CVVD-related mortality (7 studies). Most studies used a retrospective study design, including one case-control study, 39 cohort studies, and 4 time-series studies. DISCUSSION: Although we identified a number of papers that reported evaluations of extreme weather events and short-term adverse CVD outcomes, there were important gaps in the literature. These gaps included a) a lack of rigorous long-term evaluation of hurricane exposure, b) lack of investigation of hurricane exposure on vulnerable populations regarding issues related to environmental justice, c) absence of research on the exposure of multiple hurricanes on populations, and d) absence of an exploration of mechanisms leading to worsened CVD outcomes. Future research should attempt to fill these gaps, thus providing an important evidence base for future disaster-related policy. https://doi.org/10.1289/EHP11252.
In recent years, natural disasters such as hurricanes and floods have become more frequent, which usually leads to the pollution of drinking water. Drinking contaminated water may cause public health emergencies. The demand for healthy drinking water in disaster-affected areas is huge and urgent. Therefore, it is necessary to develop a simple water treatment technology suitable for emergencies. Inspired by nature, a fractional spray method was used to prepare graded purification material under mild conditions. The material consists of a calcium alginate isolation layer and a functional layer composed of calcium alginate, polyethylenimine, and water-based polyurethane, which can purify complex pollutants in water such as heavy metals, oils, pathogens, and micro/nano plastics through percolation. It does not require additional energy and can purify polluted water only under gravity. A disposable paper cup model was also designed, which can be used to obtain purified water by immersing in polluted water directly without other filtering devices. The test report shows that the water obtained from the paper cup was deeply purified. This design makes the material user-friendly and has the potential as a strategic material. This discovery can effectively improve the safety of drinking water after disasters and improve people’s quality of life.
Responding to infrastructural damage in the aftermath of natural disasters at a national, regional, and local level poses a significant challenge. Damage to road networks, clean water supply, and sanitation infrastructures, as well as social amenities like schools and hospitals, exacerbates the circumstances. As safe water sources are destroyed or mixed with contaminated water during a disaster, the risk of a waterborne disease outbreak is elevated in those disaster-affected locations. A country such as Haiti, where a large quantity of the population is deprived of safe water and basic sanitation facilities, would suffer more in post-disaster scenarios. Early warning of waterborne diseases like cholera would be of great help for humanitarian aid, and the management of disease outbreak perspectives. The challenging task in disease forecasting is to identify the suitable variables that would better predict a potential outbreak. In this study, we developed five (5) models including a machine learning approach, to identify and determine the impact of the environmental and social variables that play a significant role in post-disaster cholera outbreaks. We implemented the model setup with cholera outbreak data in Haiti after the landfall of Hurricane Matthew in October 2016. Our results demonstrate that adding high-resolution data in combination with appropriate social and environmental variables is helpful for better cholera forecasting in a post-disaster scenario. In addition, using a machine learning approach in combination with existing statistical or mechanistic models provides important insights into the selection of variables and identification of cholera risk hotspots, which can address the shortcomings of existing approaches.
Why have some countries done significantly better than others in fighting the Covid-19 pandemic? Had some countries been better prepared than others? This paper attempts to shed light on these questions by examining the role of climate risk and culture in explaining the cross-country variation in the Covid-19 mortality, while controlling for other potential drivers. In our analysis, we consider climate risk, readiness to climate change and individualism as main indicators reflecting the climate and culture status of individual countries. Using data from 110 countries, we find that the greater the climate risk; the lower the readiness to climate change and the more individualistic the society, the higher the pandemic mortality rate. We also present a series of sensitivity checks and show that our findings are robust to different specifications, alternative definitions of the mortality rate; and different estimation methods. One policy implication arising from our results is that countries that were better prepared for the climate emergency were also better placed to fight the pandemic. Overall, countries in which individuals look after each other and the environment, creating sustainable societies, are better able to cope with climate and public health emergencies.
Tropical cyclones are highly destructive weather systems, especially in coastal areas. Tropical cyclones with maximum sustained winds exceeding 74 mph (≈119 kph) are classified as typhoons in the Northwest Pacific, whilst the term ‘hurricanes’ applies to other regions. This study aims to investigate the general characteristics of the most devastating and catastrophic tropical cyclones in the USA Europe, and Asia. To achieve the study objectives, the three most devastating typical tropical cyclones in each region were selected. The tropical cyclones were examined based on various features, such as the number of deaths, minimum pressure, highest wind speed, total financial losses, and frequency per year. In contrast to Europe and Asia, the USA has recorded the highest number of catastrophic tropical cyclones. The damage induced by hurricanes Katrina, Harvey, and Maria in the USA totalled approximately USD USD 380 billion. In addition, the present research highlights the demand to improve the public attitude and behaviour toward the impact of climate change along with the enhancement of climate change alleviation strategies. The number of intense tropical cyclones is expected to rise, and the tropical cyclone-related precipitation rate is expected to increase in warmer-climate areas. Stakeholders and industrial practitioners may use the research findings to design resilience and adaptation plans in the face of tropical cyclones, allowing them to assess the effects of climate change on tropical cyclone incidents from an academic humanitarian logistics viewpoint in the forthcoming years.
BACKGROUND: Large-scale epidemics of haemorrhagic fever with renal syndrome (HFRS) have been reported mostly in Asia and Europe, with around 100,000 people affected each year. In the Southeast Europe, Balkan region, HFRS is endemic disease with approximately 100 cases per year. Our aim was to describe epidemiological characteristics of HFRS in five Western Balkan (WB) countries and to describe correlation between HFRS incidence and major meteorological event that hit the area in May 2014. METHODS: National surveillance data of HFRS from Bosnia and Herzegovina, Croatia, Montenegro, North Macedonia and Serbia obtained from 1 January 2006 to 31 December 2015 were collected and analysed. RESULTS: In a 10-year period, a total of 1,065 HFRS patients were reported in five WB countries. Cumulative incidence rate ranged from 0.05 to 15.80 per 100.000 inhabitants (in North Macedonia and Montenegro respectively). Increasing number of HFRS cases was reported with a peak incidence in three specific years (2008, 2012, and 2014). Average incidence for the entire area was higher in males than females (5.63 and 1.90 per 100.000 inhabitants respectively). Summer was the season with the highest number of cases and an average incidence rate of 1.74/100.000 inhabitants across 10-year period. Haemorrhagic fever with renal syndrome incidence was significantly increased (7.91/100.000 inhabitants) in 2014, when a few months earlier, severe floods affected several WB countries. A strong significant negative correlation (r = -.84, p < .01) between the monthly incidence of HFRS and the number of months after May's floods was demonstrated for the total area of WB. CONCLUSION: Our findings demonstrate that the HFRS incidence had similar distribution (general, age, sex and seasonality) across majority of the included countries. Summer was the season with the highest recorded incidence. Common epidemic years were detected in all observed countries as well as a negative correlation between the monthly incidence of HFRS and the number of months after May's cyclone.
We present Flood-SHE, a data-driven, statistically-based procedure for the delineation of areas expected to be inundated by river floods. We applied Flood-SHE in the 23 River Basin Authorities (RBAs) in Italy using information on the presence or absence of inundations obtained from existing flood zonings as the dependent variable, and six hydro-morphometric variables computed from a 10 m × 10 m DEM as covariates. We trained 96 models for each RBA using 32 combinations of the hydro-morphometric covariates for the three return periods, for a total of 2208 models, which we validated using 32 model sets for each of the covariate combinations and return periods, for a total of 3072 validation models. In all the RBAs, Flood-SHE delineated accurately potentially inundated areas that matched closely the corresponding flood zonings defined by physically-based hydro-dynamic flood routing and inundation models. Flood-SHE delineated larger to much larger areas as potentially subject of being inundated than the physically-based models, depending on the quality of the flood information. Analysis of the sites with flood human consequences revealed that the new data-driven inundation zones are good predictors of flood risk to the population of Italy. Our experiment confirmed that a small number of hydro-morphometric terrain variables is sufficient to delineate accurate inundation zonings in a variety of physiographical settings, opening to the possibility of using Flood-SHE in other areas. We expect the new data-driven inundation zonings to be useful where flood zonings built on hydrological modelling are not available, and to decide where improved flood hazard zoning is needed.
There is limited knowledge about how crises are framed on different social media platforms specifically in a non-Western cultural context. This study compares how extreme environmental crises-Hurricane Maria and haze-were framed on Twitter and Weibo. Through word-cloud, co-occurrence, and thematic analyses with Hurricane Maria-related tweets, this study identified two major frames of this crisis: a disaster frame and a political frame. Similarly, by analyzing haze-related posts on Sina Weibo, two major frames emerged: an environmental frame and a health frame. Both crises were largely framed as environmental issues rather than health risks or crises. Such framing helps shape the existence of Hurricane Maria and haze as legitimate facts. The findings also reveal that cultural variances, eg, power distance, collectivist-individualist culture, and uncertainty avoidance, impact crisis framing. This study indicates the importance of designing culture-fit messages and incorporating social media strategies in crisis communication while developing emergency management plans and adds knowledge to the limited literature on social-mediated crisis communication in different cultural contexts. Such knowledge will provide theoretical and practical implications for crisis scholars, emergency management practitioners, and policymakers.
Several countries have been affected by natural hazards during the COVID-19 pandemic. The combination of the pandemic and natural hazards has led to serious challenges that include financial losses and psychosocial stress. Additionally, this compound disaster affected evacuation decision making, where to evacuate, volunteer participation in mitigation and recovery, volunteer support acceptance, and interest in other hazard risks. This study investigated the impact of COVID-19 on disaster response and recovery from various types of hazards, with regard to preparedness, evacuation, volunteering, early recovery, awareness and knowledge of different types of hazards, and preparedness capacity development. This study targets hazards such as Cyclone Amphan in India, the Kumamoto flood in Japan, Typhoon Rolly in the Philippines, and the California wildfires in the U.S. This study made several recommendations, such as the fact that mental health support must be taken into consideration during COVID-19 recovery. It is necessary to improve the genral condition of evacuation centers in order to encourage people to act immediately. A pandemic situation necessitates a strong communication strategy and campaign with particular regard to the safety of evacuation centers, the necessity of a lockdown, and the duration required for it to reduce the psychological impact. Both national and local governments are expected to strengthen their disaster risk reduction (DRR) capacity, which calls for the multi-hazard management of disaster risk at all levels and across all sectors.
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.
OBJECTIVE: This paper correlated the Meniere attack with meteorological parameters i.e. atmospheric pressure, temperature, relative humidity and rainfall, to investigate which parameters that trigger the Meniere attack. METHODS: During the past three years, totally 283 (2015), 351 (2016) and 319 (2017) patients with Meniere’s disease (MD) were encountered at a clinic of the university hospital, accounting for 13%, 17% and 16% incidence in relation to overall annual neurotological cases, respectively. The onset of Meniere attack was then correlated with meteorological parameters. RESULTS: The mean seasonal incidence of Meniere attack in relation to overall seasonal neurotological cases in 2015-2017 were 14.8 ± 2.8% (spring), 17.5 ± 2.2% (summer), 16.0 ± 1.8 % (autumn) and 12.8 ± 2.0% (winter), indicating that summer season had a higher incidence of Meniere attacks than winter season. Onset of Meniere attacks correlated significantly with the atmospheric pressure (r = -0.4484, p = 0.0061) and temperature (r = 0.4736, p = 0.0035), and the atmospheric pressure was highly negatively correlated with the temperature (r = -0.9421, p < 0.0001). In contrast, no correlation was identified between the onset of Meniere attacks and relative humidity or rainfall. The atmospheric pressure in the same month with typhoon compared with that without typhoon revealed a median reduction of 13.1 hectopascal. CONCLUSION: Atmospheric pressure and temperature are correlated with the onset of Meniere attack. Summer season has a higher incidence of Meniere attack than winter season, likely because low atmospheric pressure in summer may aggravate endolymphatic hydrops, especially when accompanied by typhoons in the northwest Pacific region.
As the fifth-largest super tropical cyclone landed on Mainland China in history, typhoon Lekima occurred in August 2019 caused at least 71 deaths, 14 million disaster victims, and cost RMB 65.37 billion in damages. Here we use six latest GPM-based near-real-time satellite precipitation estimates (IMERG-Early, IMERG-Late, GSMaP-NOW, GSMaP-NRT, GSMaP-MVK, and CMORPH-RT) to quantify the spatiotemporal pattern of typhoon rainfall and meanwhile the potentials of these satellite precipitation products in detecting heavy storms are systematically investigated. Retrieval results indicate that the expansive rain belt of typhoon Lekima brought approximately 93.2 billion m(3) water in total onto the Chinese mainland during the typhoon period and the precipitation process maintained higher intensities on the earlier two days (August 10 and 11). Specifically, it is found that a “precipitation window” with higher precipitation intensities appeared between 5:00 a.m. and 10:00 a.m., implying that a greater probability of rainstorms may occur during this period. Moreover, at the storm center around the Dongying City of Shandong Province, the dual-frequency precipitation radar of GPM (GPM-DPR) successfully revealed the existence of precipitation columns with the peak value of 121 mm.h(-1), which seem to play a key role in the regional torrential rainfall. Additionally, our evaluation shows IMERG-Late and CMORPH-RT perform better under higher rain rates relative to other satellite precipitation estimates. This can be primarily attributed to their sufficient inputs from PMW sensors and, respectively, the former benefits well from both DPR and GMI while the latter significantly reduces its IR inputs. This study illustrates an example of monitoring the extreme heavy precipitation storms by the latest GPM-based near-real-time satellite precipitation estimates and highlights future possible improvements for algorithm developers.
OBJECTIVES: To examine the association between the number of visits to the emergency department (ED) by children for night-time headaches and exposure to multifaceted factors, such as meteorological conditions and air pollution. DESIGN: We conducted a clinical observational time-series analysis study. SETTING: We reviewed consecutive patients younger than 16 years of age at the primary ED centre in Kobe city, Japan, during the night shift (19:30-7:00 hours) between 1 January 2011 and 31 December 2019. PARTICIPANTS: In total, 265 191 children visited the ED; 822 presented with headache during the study period. PRIMARY OUTCOME MEASURES: We investigated the effects of meteorological factors and air pollutants by multivariate analysis of Poisson regression estimates. A subanalysis included the relationship between the number of patients with night-time headaches and the above factors by sex. Furthermore, the effect of typhoon landing on patient visits for headache was also analysed. Headache was not classified because examinations were performed by general paediatricians (non-specialists). RESULTS: The number of patients with night-time headaches displayed distinct seasonal changes, with peaks during the summer. Multivariate analysis of Poisson regression estimates revealed a significant positive relationship between the number of patients for headache and mean temperature. Subanalysis by sex indicated a positive relationship between the number of patients with headache and mean temperature in both sexes; however, it was significant only for females. No relationship was found between the number of patients with headache and air pollution. There was no change in the number of patients for night-time headaches 3 days before and after typhoon landing. CONCLUSIONS: High temperature is the main factor for visiting ED for night-time headaches among children in Kobe city. Our results suggest that preventive measures against night-time headaches may be possible by reducing time spent outside during summer.
Coastal hazards, particularly cyclones, floods, erosion and storm surges, are emerging as a cause for major concern in the coastal regions of Vijayawada, Andhra Pradesh, India. Serious coastal disaster events have become more common in recent decades, triggering substantial destruction to the low-lying coastal areas and a high death toll. Further, women living in informal and slum housing along the Vijayawada coastline of Andhra Pradesh (CAP), India, suffer from multiple social, cultural and economic inequalities as well. These conditions accelerate and worsen women’s vulnerability among this coastal population. The existing literature demonstrates these communities’ susceptibility to diverse coastal disasters but fails to offer gender-specific vulnerability in urban informal housing in the Vijayawada area. Accordingly, the current study developed a novel gender-specific Women’s Coastal Vulnerability Index (WCVI) to assess the impact of coastal disasters on women and their preparedness in Vijayawada. Field data was collected from over 300 women through surveys (2) and workshops (2) between November 2018 and June 2019, and Arc-GIS tools were used to generate vulnerability maps. Results show that women are more vulnerable than men, with a higher death rate during coastal disaster strikes. The current study also found that gender-specific traditional wear is one of the main factors for this specific vulnerability in this area. Furthermore, the majority of the women tend to be located at home to care for the elders and children, and this is associated with more fatalities during disaster events. Homes, particularly for the urban poor, are typically very small and located in narrow and restricted sites, which are a barrier for women to escape from unsafe residential areas during disasters. Overall, the research reveals that most of the coastal disaster events had a disproportionately negative impact on women. The results from this present study offer valuable information to aid evidence-based policy- and decision-makers to improve existing or generate innovative policies to save women’s lives and improve their livelihood in coastal areas.
Floods due to heavy rains or typhoons are frequent annual hazards in Japan. This study aims to reduce disaster fatalities and contribute to disaster risk reduction. This retrospective observational study analyzed fatalities caused by heavy rains or typhoons. In Japan, 578 fatalities, related to seven occurrences of heavy rains and 16 typhoons, occurred between 2016 and 2020. Moreover, 13,195 houses collapsed due to hazards. Furthermore, 334 (73.2%) of the 456 fatalities were > 60 years old. Heavy rains caused more local area destruction due to floods and landslides than typhoons although wind- and disaster-related mortalities were found to be caused by typhoons. Human damage was eminent in older people because of their vulnerabilities and possibly dangerous behavior. Many fatalities were due to floods (46.9%) and landslides (44.1%). Indoor and outdoor mortalities due to heavy rains or typhoons were 157 (55.9%) and 124 (44.1%), respectively, and 24 (21.8%) of 124 outdoor mortalities occurred in vehicles. The number of recent flood mortalities in Japan correlates with the number of destroyed houses. Analyzing the victim’s locations in the 2020 Kumamoto Heavy Rain using hazard and inundation maps suggested the difficulty of ensuring the safety of people living in dangerous areas. This study showed the characteristics of flood damage by heavy rains and typhoons in Japan and reports that flood damage is increasing because of the hazard size and community aging. Disaster risk reduction, disaster education, and evacuation safety plans for the elderly using hazard maps were important for strengthening disaster resilience.
Floods can be devastating in densely populated regions along rivers, so attaining a longer forecast lead time with high accuracy is essential for protecting people and property. Although many techniques are used to forecast floods, sufficient validation of the use of a forecast system for operational alert purposes is lacking. In this study, we validated the flooding locations and times of dike breaking that had occurred during Typhoon Hagibis, which caused severe flooding in Japan in 2019. To achieve the goal of the study, we combined a hydrodynamic model with statistical analysis under forcing by a 39-h prediction of the Japan Meteorological Agency’s Meso-scale model Grid Point Value (MSM-GPV) and obtained dike-break times for all flooded locations for validation. The results showed that this method was accurate in predicting floods at 130 locations, approximately 91.6% of the total of 142 flooded locations, with a lead time of approximately 32.75 h. In terms of precision, these successfully predicted locations accounted for 24.0% of the total of 542 locations under a flood warning, and on average, the predicted flood time was approximately 8.53 h earlier than a given dike-break time. More warnings were issued for major rivers with severe flooding, indicating that the system is sensitive to extreme flood events and can issue warnings for rivers subject to high risk of flooding.
Because of Taiwan’s specific geographical location, disastrous weather phenomena such as typhoons, extreme rainfall, flooding, and regional flooding occur frequently, resulting in devastating casualties and property loss. The losses caused by flooding are NT$5.5 billion per year. This study used insurance claims data on flood damage in Taiwan’s transportation construction projects (from 1996 to 2007) as a sample space. Statistical actuarial model analysis was performed to normalize the loss factors, thereby enabling loss model testing and quantitative analysis of the normalized loss factors. To evaluate the risk in transportation construction, two models were separately applied in the analysis: the value at risk and riskiness models. The results may aid in estimating flooding damage losses in transportation construction projects.
Floods are known to increase the level of allergens such as molds in the environments. Under climate change, the frequency of floods could be increased, which highlights the importance of understanding the impacts of floods on atopic diseases. However, there was a lack of studies. This study examines whether floods induce attacks of childhood atopic dermatitis (AD). A retrospective population-based study was conducted in Taiwan Island using Taiwan’s National Health Insurance Research Database. Emergency room (ER) visits for AD were identified among children aged 0-12 years. Weekly data of flood occurrence, number of flood sites, temperature, and air pollution were obtained for each township of the identified cases. A time-stratified case-crossover design was used. The relationship between ER visits for AD and floods was assessed by conditional logistic regression, adjusting for weekly mean temperature, PM(2.5) and NO(2). There were a total of 55,488 ER visits due to AD during the study period. Such visits increased when flood occurred, and then declined. The effects of floods at the week of flood remained robust, with OR of 1.14 (95% CI = 1.01-1.28) for flood occurrence and 1.31 (95% CI = 1.10-1.55) for the number of flood sites, after adjusting for covariates. Such effects were slightly higher in boys and children aged 1-12 years. This study demonstrated the impact of floods on flare-up of childhood AD, and the effect was most prominently at the week of flood. Healthcare workers should be alarmed for potential increase of AD flare ups after flood events.
OBJECTIVES: This study aimed to examine the effects of flooding due to Typhoon Hagibis on the incidence of cardiovascular/cerebrovascular events in Nagano City. METHODS: The SAVE trial retrospectively enrolled 2426 patients hospitalized for cardiovascular/cerebrovascular disease in 5 hospitals in Nagano City from October 1 to December 31 in 2017 and 2018 (pre-disaster period) and in 2019 (post-disaster period). From these, 280 patients who were hospitalized in a district flooded in 2019 were recruited for the same period (October 12 to December 31) over the 3 years. The baseline characteristics of and the incidence of cardiovascular/cerebrovascular disease in cases from the flooded district in 2019 were compared with those of cases in the flooded district in 2017 and 2018. RESULTS: The total number of patients with acute myocardial infarction did not differ significantly between the post- and pre-disaster periods. The incidence of unstable angina pectoris was significantly higher in 2019 (n = 4, 5.1%) than in 2017 and 2018 (n = 0, 0.0%) (P = 0.001). CONCLUSIONS: This study did not prove the impact of flood due to a typhoon on the incidence of cardiovascular/cerebrovascular events.
Research has demonstrated that posttraumatic stress disorder (PTSD) is associated with internet-related problematic behaviors. However, studies have not explored the linkage between PTSD symptoms and internet gaming disorder (IGD) symptoms. The current study aimed to investigate the relationship between posttraumatic stress symptoms (PTSS) and IGD symptoms via network analysis. We conducted a cross-sectional study with 341 Chinese young adults directly exposed to a typhoon and examined the network structure of PTSS and IGD symptoms, along with bridge symptoms, to elucidate how they co-occur. Results indicated that ‘avoiding external reminders’ and ‘anhedonia’ were identified as the most central symptoms in the PTSD network, whereas ‘preoccupation,’ ‘gaming despite harms’, and ‘loss of control’ ranked highest on centrality in the IGD network. Two bridge symptoms emerged within the combined PTSD and IGD network model: ‘concentration difficulties’ and ‘conflict due to gaming’ from among the PTSS and IGD symptoms, respectively. These findings reveal novel associations between PTSS and IGD symptoms and provide an empirically-based hypothesis for how these two disorders may co-occur among individuals exposed to natural disasters.
This study focuses on an arts-based mental health and psychosocial support (MHPSS) intervention in the form of TOT (training of trainers) conducted under the auspices of IsraAID in the aftermath of the Yolanda typhoon in the Philippines in 2013. Interviews were conducted with 10 female education and healthcare professionals, who also made drawings of their experiences. The goal was to better understand how they evaluated the training program, both for themselves and their communities. Analysis of the interviews and drawings, based on the principles of Consensual Qualitative Research (CQR), identified three main domains: (1) Supportive and inhibiting factors for participants in the training course; (2) Supportive and inhibiting factors with respect to the participants’ implementation of the training goals in their local communities; (3) Perceptions of the benefits of the training program for the participants and their communities. The discussion centers on the value of the creative process, the importance of the group in the training course and in the context of multiculturalism, and the impact these factors in interventions applying the TOT model.
The present study examined the measurement and antecedents of positive mental health in people who concurrently experienced two disasters of different nature (i.e., typhoons and COVID-19 crisis), focusing on the survivors of typhoons Vamco and Goni that hit the Philippines in November 2020, during the COVID-19 pandemic. First, we investigated the psychometric prop-erties of Mental Health Continuum-Short Form (MHC-SF), a well-validated measure of positive mental health dimensions (i.e., emotional, social, and psychological well-being) by: 1) comparing the structural validity of three measurement models including a single-factor, bifactor, and three-factor solutions of positive mental health; 2) looking into the criterion validity through corre-lating the MHC-SF subscales with relevant measures; and 3) calculating for item reliability. Second, we examined the mediating role of social responsibility in the positive influence of community resilience on the three dimensions of positive mental health. Using 447 participants, with ages ranging from 18 to 70 years old, confirmatory factor analysis showed that compared to the single-factor and the bifactor models, the intercorrelated three-factor model of MHC-SF has the best model fit and most stable factor loadings. MHC-SF subscales correlated with relevant measures indicating criterion validity and yielded excellent internal consistency for all subscales. Additionally, results showed that social responsibility mediated the positive impact of community resilience on emotional, social, and psychological well-being of Filipinos in times of great ad-versities. The findings were discussed within the context of extreme weather events and the COVID-19 crisis in the Philippines, highlighting implications on disaster preparedness and mental health policies at the community level.
The strongest storm in Philippines history, super-typhoon Haiyan, barreled through central Philippines in 2013 and left a high death toll and extensive destruction in its wake. Past studies have investigated Fading Affect Bias (FAB) in extremely negative situations like the death of a loved one and found that the FAB generally occurs in those extreme situations, but this study is the first to assess FAB in first-hand memories for a natural disaster survival situation. The FAB phenomenon is the tendency for emotional intensity associated with negative memories for events to fade over time and emotional intensity for positive events stays relatively stable over time. Researchers collected memories for the super-typhoon from survivors three years after the event. Results showed that negative emotional intensity for the event faded after the event. Emotion in comparison positive memories for non-typhoon events did not fade, and emotion in comparison negative memories faded, following results in several other FAB studies. The Positive and Negative Affect Scale (PANAS) was used as an initial assessment of mood before the study began, and PANAS scores reliably predicted current emotional intensity scores. Memory vividness and emotional intensity in first-hand accounts of a natural disaster experience behave like vividness and intensity in flashbulb memories, but details in first-hand accounts are similar to the amount of details in memories of near-death experiences. How memory rehearsal behaves in relation to time elapsed since event has yet to be captured for first-hand survival experiences.
OBJECTIVES: Environmental hazards are part of the Earth’s natural cycle and are ongoing within human history. When vulnerable situations meet environmental hazards, disasters occur where human and natural costs could be enormous. This study aimed to explore the experiences of the victims of coastal erosion during the monsoon season. METHODS: Seven victims of catastrophic coastal erosion in the Kollam District of Kerala, India, were interviewed from December 2013 to February 2014. The study followed Edmond Husserl’s descriptive phenomenological method. RESULT: These interviews constituted the primary data source. Three main themes with eleven subthemes emerged from these data. The main themes were impact, consequences and recovery. The subthemes were living in constant fear, escaping from the catastrophe; cataclysmic sea waves and their tumultuous behaviour, instant damage and destruction, the epoch of losses; agony and suffering; homelessness-helplessness-sleeplessness mixed with fear; government aid only in dreams; haunting memories; never-ending daily needs; first home and native land; and the desire to go back to the site of the disaster. CONCLUSION: From the derived themes, a phenomenon associated with coastal erosion evolved. The phenomenon is termed “Catastrophic coastal erosion: A cycle of impact, consequences, and recovery.”
Super typhoons can lead to post-traumatic stress disorder (PTSD), which can adversely affect a person’s mental health after a disaster. Neuroimaging studies suggest that patients with PTSD may have post-exposure abnormalities of the white matter. However, little is known about these defects, if they are localized to specific regions of the white matter fibers, or whether they may be potential biomarkers for PTSD. Typhoon survivors with PTSD (n = 27), trauma-exposed controls (TEC) (n = 33), and healthy controls (HCs) (n = 30) were enrolled. We used automated fiber quantification (AFQ) to process the participants’ DTI and compared diffusion metrics among the three groups. To evaluate diagnostic value, we used support vector machine (SVM) and a random forest (RF) classifier to build a machine learning model. White matter fiber segmentation between the three groups was found to be statistically significant for the fractional anisotropy (FA) value of the right anterior thalamic radiation (ATR) (26-50 nodes) and right uncinate fasciculus (UF) (60-72 nodes) (FDR correction, p < 0.05). By analyzing the characteristics of the machine learning model, the two most important variables were the right ATR and right UF for differentiating PTSD and trauma-exposed controls (TEC) from the healthy controls (HC). In addition, the left cingulum cingulate and left UF were the most critical variables in the differentiation of PTSD and TEC. AFQ with machine learning can localize abnormalities in specific regions of white matter fibers. These regions may be used as a diagnostic biomarker for PTSD.
BACKGROUND: The structural changes recent-onset posttraumatic stress disorder (PTSD) subjects were rarely investigated. This study was to compare temporal and causal relationships of structural changes in recent-onset PTSD with trauma-exposed control (TEC) subjects and non-TEC subjects. METHODS: T1-weighted magnetic resonance images of 27 PTSD, 33 TEC and 30 age- and sex-matched healthy control (HC) subjects were studied. The causal network of structural covariance was used to evaluate the causal relationships of structural changes in PTSD patients. RESULTS: Volumes of bilateral hippocampal and left lingual gyrus were significantly smaller in PTSD patients and TEC subjects than HC subjects. As symptom scores increase, reduction in gray matter volume began in the hippocampus and progressed to the frontal lobe, then to the temporal and occipital cortices (p < 0.05, false discovery rate corrected). The hippocampus might be the primary hub of the directional network and demonstrated positive causal effects on the frontal, temporal and occipital regions (p < 0.05, false discovery rate corrected). The frontal regions, which were identified to be transitional points, projected causal effects to the occipital lobe and temporal regions and received causal effects from the hippocampus (p < 0.05, false discovery rate corrected). CONCLUSIONS: The results offer evidence of localized abnormalities in the bilateral hippocampus and remote abnormalities in multiple temporal and frontal regions in typhoon-exposed PTSD patients.
This study examined the effects of parents’ posttraumatic stress symptoms (PTSS) and parenting behaviors, children’s feelings of safety, and children’s self-disclosure on children’s PTSS, to elucidate the mechanisms underlying intergenerational effect of PTSS. Three months after the Super Typhoon Lekima occurred in China, August 2019, self-report questionnaires were used to investigate 866 Chinese parent-child dyads (children’s mean age was 10.55 years, 52.2% were boys; parents’ mean age was 37.99 years, 23.2% were fathers) in the area most affected by the typhoon. The results found that parents’ PTSS may have disrupted the provision of emotionally warm parenting, in turn reducing children’s feelings of safety and limiting their self-disclosure, ultimately increasing the severity of children’s PTSS. This suggested that the mechanisms underlying the intergenerational effect of PTSS between parents and children involve the combined role of parents’ emotionally warm parenting, children’s feelings of safety, and children’s self-disclosure.
OBJECTIVE: Investigate an association between severe tropical cyclones (TCs) and birth outcomes in an Australian population. METHODS: We analysed over 600,000 singleton livebirths collected through the Queensland Perinatal Data Collection between 2008 and 2018. We estimated the odds ratios (ORs) of adverse birth outcomes using logistic multi-level modelling. RESULTS: Exposure to TCs in early pregnancy was associated with significantly higher odds of preterm births in affected compared to unaffected areas during the TC year [OR=1.28, 95%CI=1.11, 1.49, p=0.001] and slightly significant higher odds in affected areas during TC years compared to non-TC years. Significantly higher odds of low birthweight births were associated with mid-pregnancy exposure to cyclone Marcia [OR=1.62, 95%CI=1.00, 2.40, p=0.016] . CONCLUSIONS: Findings aligned with studies demonstrating an association between exposure to environmental stressors in early to mid-pregnancy and adverse birth outcomes. IMPLICATIONS FOR PUBLIC HEALTH: There is limited research into TCs and perinatal health in Australia despite most of the population residing along coastlines and TCs presenting one of the nation’s most devastating weather events. This study will inform public health practice and contribute to further research into mitigating environmental risks faced by pregnant women.
The Miyako Islands (with a population of approximately 50,000) are located in southwestern Japan, with a subtropical oceanic climate. This isolated location permitted a retrospective population-based epidemiological study of subarachnoid hemorrhage. We retrospectively enrolled 110 consecutive patients from 2010 to 2019 using the subarachnoid hemorrhage database at Okinawa Miyako Hospital, which is the only local facility with neurosurgeons. We calculated the incidence of subarachnoid hemorrhage standardized to the entire Japanese population. The seasonal distribution of subarachnoid hemorrhage onset and patients’ epidemiological characteristics were also investigated. The standardized annual incidence of subarachnoid hemorrhage was 21.4 per 100,000 population, as reported previously in Japan. The patients’ mean age was 62.1 ± 15.4 years, and women constituted 60.9%. Anterior communicating artery aneurysms were most common. The endovascular treatment for ruptured aneurysms was increasing as standard levels in Japan. The rates of symptomatic vasospasm and secondary hydrocephalus requiring additional neurosurgical treatment were 2.7% and 19.1%, respectively. The mortality rate was 23.6%. The percentage of patients with a modified Rankin scale score of 0-2 at discharge was 55.5%. There were no differences in the frequency of subarachnoid hemorrhage associated with seasonal distribution or climatic factors. The incidence, baseline characteristics, and clinical outcomes of subarachnoid hemorrhage in the Miyako Islands were similar to those in other regions of Japan. There are preferable epidemiological backgrounds for further practical clinical research.
BACKGROUND: The Reiwa First Year East Japan Typhoon of 2019 caused a torrential flood in Japan. In Nagano City, a large area was flooded due to the collapse of the Chikuma River embankment. After large-scale disasters, an increase in cardiovascular and cerebrovascular events has been reported on account of the stressful conditions. However, few reports of disaster-related diseases associated with flood damage have been described. Thus, our aim was to elucidate the effect of floods on the incidences of cardiovascular and cerebrovascular diseases in Nagano City. METHODS: The Shinshu Assessment of Flood Disaster Cardiovascular Events (SAVE) trial enrolled 2,426 patients admitted for cardiovascular or cerebrovascular diseases at all five hospitals with an emergency department in Nagano City from October 1 to December 31 in the years 2017, 2018, and 2019. The occurrence of these diseases was calculated in every 2 weeks and the findings of 2019 (year of the flood) were compared with those of 2017 and 2018. RESULTS: Cardiovascular and cerebrovascular diseases significantly increased during the 2 weeks immediately after the flood disaster (149 in 2019 vs average of 116.5 in the previous 2 years, p < 0.05). Unstable angina cases significantly increased 1.5-2 months after the flood disaster, and cerebral hemorrhage cases significantly increased in the 2 weeks after the flood disaster. CONCLUSIONS: Cardiovascular and cerebrovascular events increased significantly during the 2 weeks immediately after the large-scale flood disaster caused by the Reiwa First Year East Japan typhoon. Because of the increasing frequency of flood disasters, it is necessary to predict the occurrences of cardiovascular and cerebrovascular diseases and to implement guidelines for their appropriate and timely management.
Assessment of urban river sediment quality is paramount to understanding the impacts of urbanization on aquatic ecosystems and public health. The study evaluated the health impacts and sources of heavy metal pollutants in the Mangonbangon river, Tacloban City. With the abundance of heavy metal contaminants in the river sediment (Fe>Mn>Zn>Cu>Cr>Ni>Co), Hazard indices (HIs) ranged from 0.04 to 0.10 for adults and 0.31 to 0.90 for children suggesting little or no non-carcinogenic effects to the population. Lifetime cancer risk (LCR) is below the tolerable threshold of 10(-4), with Co contributing 61% of the cancer risk. Using unconstrained ordination and the GIS-based method (UOGM), we showed two non-multidimensional scaling groups of pollutants distributed based on dwelling density, presence of informal settlers, and types of activity at the sample sites. Given that sampling was performed three years after the city-wide destruction by Typhoon Haiyan (Yolanda), our analysis indicated the return of anthropogenic activities and pollution-related health problems in Tacloban. Our results reinforce the urgent need for proper river management and economic zoning to help curb the rapidly growing heavy metal pollution problem at its earliest stage.
OBJECTIVE: This study aimed to investigate the effects of disaster trauma, disaster conflict, and economic loss on posttraumatic stress disorder (PTSD), and to verify the moderating effect of personal and community resilience in these relationships. The data of 1914 people, aged 20 or above, who had experienced natural disasters (earthquake, typhoon, flooding) were used. METHODS: Hayes’s (2013) PROCESS macro (Model 1) was conducted to verify the moderation effect of personal and community resilience between PTSD and disaster trauma, disaster conflict, and economic loss. RESULTS: Disaster trauma, disaster conflict, and economic loss were found to be positively related to PTSD. Personal and community resilience were negatively related to PTSD. Resilience had a moderating effect on the relationship between disaster trauma, economic loss, and PTSD. However, there was no moderating effect on the relationship between disaster conflict and PTSD. Community resilience had a moderating effect on the relationship between economic loss and PTSD. However, there was no moderating effect on the relationship between disaster trauma, disaster conflict, and PTSD. CONCLUSIONS: The results suggest that personal and community resilience could be used for prevention and therapeutic interventions for disaster victims who experience PTSD.
By the 2050s, more than 120 million people are predicted to settle in the Pearl River Delta (PRD), which covers large coastal cities such as Guangzhou, Shenzhen and Hong Kong. Cities in the PRD are vitally important to China in relation to their socio-economic contributions. From recent evidence, this strongly urbanized area is vulnerable to, and currently facing bigger incidences of, coastal and urban flooding. Flood risk is growing in low-lying coastal areas due to rapid urbanization and increasing flood hazards exacerbated by climate change. Frequent intensive rainstorms, sea-level rise, typhoons and surges threaten large populations and their economic assets, causing severe socio-economic and ecological impacts in the PRD cities. Current flood risk management (FRM) in the delta is still predominately focused on using traditional techno-fixes and infrastructure paradigms, lacking sufficient strategic planning and flood protection to develop adequate flood resilience. Recent urban floods, enhanced by storm surges and intensive rainstorms, have affected multiple PRD cities and drawn attention to flood risk as a major challenge in the PRD’s coastal cities. This review encourages development of long-term FRM practices with provincial and municipal authorities working together more closely to develop better-integrated regional FRM strategies for the PRD.
OBJECTIVE: Typhoon Hagibis struck Japan on October 12, 2019. This study documents and characterizes deaths caused by Hagibis and helps identify strategies to reduce mortality in future disasters. METHODS: Japanese residents, who were killed by Typhoon Hagibis, as reported by Japan’s Fire and Disaster Management Agency, were considered for the study. Details were collected from mainstream Japanese media, and flooding data from hazard maps published by local municipalities. RESULTS: Out of the 99 total fatalities, 65 (73.0%) were aged 65 years or above. Among those who drowned indoors (20), 18 (90.0%) lived in high-risk areas of flooding, and their bodies were found on the first floor of their residences. A total of 10 (55.6%) out of the 18 fatalities lived in homes with 2 or more floors, indicating that they could have moved upstairs to avoid the floodwater. However, 6 (33.3%) could not do so due to existing health issues. CONCLUSIONS: Relatively elderly people, particularly those in areas at high risk of flooding, were most affected. Seeking higher ground is a standard safety measure in times of flooding, but this may not be possible for everyone depending on their health status, structure of their residence, and the depth of floodwaters.
Objective: This study aimed to 1) investigate the psychometric properties of the Climate Change Anxiety Scale or CCAS (Clayton & Karazsia, 2020) and 2) examine the mediating role of climate change anxiety on the link between experience of climate change and behavioural engagement in climate mitigation in Filipino youth. Method: A total of 452 Filipino adolescents responded to the survey (Mean Age = 19.18, SD = .99). Results: A modified two-factor model of the CCAS displayed superior fit relative to the other three models tested. Confirmatory factor analysis in Phase 1 yielded a stable two-factor structure with strong factor loadings and good internal consistency. In Phase 2, cognitive-emotional, but not the functional impairment component of climate anxiety, showed a mediating effect on the relationship between experience of climate change and behavioural engagement in climate mitigation. Conclusions: This study is the first to demonstrate that CCAS subscales have distinct mediating roles in linking Filipino adolescents’ experience of climate change and mitigation behaviours. Further validation of the CCAS is recommended, as well as further research on the factors that can promote environment-friendly behaviours in Filipino youth.
Vanuatu, a Pacific Small Island Developing State, has high exposure to climate extremes, such as tropical cyclones and interannual rainfall variability, which can have devastating short- and long-term impacts on food and nutrition security (FNS). This paper presents local experiences of the effects of climate extremes on FNS in Vanuatu through a case study of two recent events: Tropical Cyclone Pam (2015) and an El Nino-induced drought (2015-2017). A qualitative research approach, using a range of data collection methods, was used to document people’s lived experiences in two villages in Vanuatu. This study found that climate extremes affected the FNS of people in the two study villages directly, with effects on gardens and food production, and indirectly, by exacerbating the nutrition transition, a shift away from traditional diets energy-dense imported food that is already progressing in Vanuatu. These effects undermine long-term FNS and health. Climate extremes also eroded food-related cultural practices and traditions and constrained local agency to make food choices. The magnitude and extent of these impacts, however, are influenced by structural vulnerabilities and local resiliencies. The adaptive capacity and resilience of communities needs to be strengthened in a way that allows people to exercise agency in their responses to climate extremes and to promote FNS, including cultural acceptability and food preferences, and long-term health.
BACKGROUND: Studies have shown that tropical cyclones are associated with several infectious diseases, while very few evidence has demonstrated the relationship between tropical cyclones and dengue fever. This study aimed to examine the potential impact of tropical cyclones on dengue fever incidence in the Pearl River Delta, China. METHODS: Data on daily dengue fever incidence, occurrence of tropical cyclones and meteorological factors were collected between June and October, 2013-2018 from nine cities in the Pearl River Delta. Multicollinearity of meteorological variables was examined via Spearman correlation, variables with strong correlation (r>0.7) were not included in the model simultaneously. A time-stratified case-crossover design combined with conditional Poisson regression model was performed to evaluate the association between tropical cyclones and dengue fever incidence. Stratified analyses were performed by intensity grades of tropical cyclones (tropical storm and typhoon), sex (male and female) and age-groups (<18, 18-59, ≥60 years). RESULTS: During the study period, 20 tropical cyclones occurred and 47,784 dengue fever cases were reported. Tropical cyclones were associated with an increased risk of dengue fever in the Pearl River Delta region, with the largest relative risk of 1.62 with the 95% confidence interval (1.45-1.80) occurring on the lag 5 day. The strength of association was greater and lasted longer for typhoon than for tropical storm. There was no difference in effect estimates between males and females. However, individuals aged over 60 years were more vulnerable than others. CONCLUSIONS: Tropical cyclones are associated with increased risk of local dengue fever incidence in south China, with the elderly more vulnerable than other population subgroups. Health protective strategies should be developed to reduce the potential risk of dengue epidemic after tropical cyclones.
BACKGROUND: Typhoid fever is endemic in some Pacific Island Countries including Fiji and Samoa yet genomic surveillance is not routine in such settings. Previous studies suggested imports of the global H58 clade of Salmonella enterica var Typhi (Salmonella Typhi) contribute to disease in these countries which, given the MDR potential of H58, does not auger well for treatment. The objective of the study was to define the genomic epidemiology of Salmonella Typhi in Fiji. METHODS: Genomic sequencing approaches were implemented to study the distribution of 255 Salmonella Typhi isolates from the Central Division of Fiji. We augmented epidemiological surveillance and Bayesian phylogenomic approaches with a multi-year typhoid case-control study to define geospatial patterns among typhoid cases. FINDINGS: Genomic analyses showed Salmonella Typhi from Fiji resolved into 2 non-H58 genotypes with isolates from the two dominant ethnic groups, the Indigenous (iTaukei) and non-iTaukei genetically indistinguishable. Low rates of international importation of clones was observed and overall, there were very low levels an antibiotic resistance within the endemic Fijian typhoid genotypes. Genomic epidemiological investigations were able to identify previously unlinked case clusters. Bayesian phylodynamic analyses suggested that genomic variation within the larger endemic Salmonella Typhi genotype expanded at discreet times, then contracted. INTERPRETATION: Cyclones and flooding drove ‘waves’ of typhoid outbreaks in Fiji which, through population aggregation, poor sanitation and water safety, and then mobility of the population, spread clones more widely. Minimal international importations of new typhoid clones suggest that targeted local intervention strategies may be useful in controlling endemic typhoid infection. These findings add to our understanding of typhoid transmission networks in an endemic island country with broad implications, particularly across Pacific Island Countries. FUNDING: This work was supported by the Coalition Against Typhoid through the Bill and Melinda Gates Foundation [grant number OPP1017518], the Victorian Government, the National Health and Medical Research Council Australia, the Australian Research Council, and the Fiji Ministry of Health and Medical Services.
El Plan Nacional de Predicción y Vigilancia de Fenómenos Meteorológicos Adversos (Meteoalerta) pretende facilitar la mejor y más actualizada información posible sobre los fenómenos atmosféricos adversos que se prevean, con un adelanto de hasta 72 horas. En ese sentido, uno de los avisos corresponde a tormentas, con cuatro niveles básicos (de menor a mayor riesgo): verde (sin riesgo), amarillo (tormentas fuertes), naranja (tormentas muy fuertes) y rojo (tormentas muy fuertes que por sus características excepcionales pueden tener un alto impacto).
Strong wind gusts may occur in connection with thunderstorms, causing a lot of damage. Severe thunderstorm warnings contains warnings on thunderstorm gusts. There are not any lightning warnings, but in emergency warnings there are.
The occurrence of tropical storms and hurricanes is a certainty in the Atlantic Basin each year. Many of these never make landfall. Those that do can range in intensity from a weak tropical depression to a very destructive Category 5 hurricane. These storms often produce large amounts of rainfall and flooding, resulting in increases in the mosquito populations in the affected areas. In order to deal with this problem, aerial applications of insecticides over wide areas can provide relief to the impacted area, assisting in the recovery efforts. Meeting the demand for these sudden and large increases in the volume of the insecticide most commonly used in aerial applications requires great coordination, communication, and commitment. We describe the diverse entities involved in the manufacture, distribution, and use of the product and how this increase in need is recognized, managed, and satisfied in a compressed period of time.
After a disaster, it is common to equate repopulation and rebuilding with recovery. Numerous studies link post-disaster relocation to adverse social, economic, and health outcomes. However, there is a need to reconsider these relationships in light of accelerating climate change and associated social and policy shifts in the USA, including the rising cost of flood insurance, the challenge of obtaining aid to rebuild, and growing interest in “managed retreat” from places at greatest risk. This article presents data from a survey of individuals who opted either to rebuild in place or relocate with the help of a voluntary home buyout after Hurricane Sandy. Findings show those who lived in buyout-eligible areas and relocated were significantly less likely to report worsened stress than those who rebuilt in place. This suggests access to a government-supported voluntary relocation option may, under certain circumstances, lessen the negative mental health consequences associated with disaster-related housing damage.
India has reported a high prevalence of Intimate Partner Violence (IPV) against women over the years. Previous Western research has found an increased IPV risk among women in the aftermath of natural disasters, underscoring the need for such studies in India. We could not locate any study focusing on the impact of slow-onset versus rapid-onset disasters, which might have differing impacts on the vulnerable, especially on the incidence of IPV in India. Using data on ever-married women from the National Family Health Survey-4 (2015-16), we investigated the association of residing in districts exposed to a drought (N = 31,045), and separately, to two cyclones (N = 8469), with three forms of self-reported IPV against women (emotional, physical, and sexual). Survey-adjusted logistic regression models showed that exposure to cyclone was positively associated with emotional IPV (AOR: 1.59, 95% CI: 1.20, 2.10) after adjusting for sociodemographic covariates. Although not statistically significant, exposure to cyclone was also positively associated with physical and sexual IPV, and drought with physical IPV. However, we did not find an association of drought with emotional and sexual violence. We corroborated previous findings that women from wealthier households, with greater education, and whose husbands had no history of alcohol consumption, were less likely to experience any form of IPV independent of the influence of other factors. These results highlight the potential increased risk of IPV following natural disasters. In patriarchal societies such as India vulnerable to climate-change, these sobering results highlight the need to prepare for the social disasters that might accompany natural disasters.
A thunderstorm is a risk factor for severe respiratory allergy or asthma attacks in patients suffering from pollen/spore allergy. This study aimed to investigate the changes in the spectrum and quantity of pollen and fungal spores in the air of Bratislava during summer storms as well as the impact of selected environmental parameters on these changes. Pollen/spore samples were collected using a Burkard volumetric aerospore trap during summer 2016. To identify those types of pollen/spores that may harm human health during the storm episodes, we analysed how the concentration of individual bioparticles in the air changed during pre-storm/storm/post-storm periods. The effect of environmental variables on the concentration of selected pollen/spore types was evaluated through Spearman’s correlation analysis. The results of our study suggest that thunderstorm-related respiratory allergy symptoms in the study area may be caused by (1) spores of Myxomycetes, the airborne concentration of which increases due to an increase in wind speed during the pre-storm period; (2) ruptured pollen and Diatripaceae spores, the concentration of which increases due to increase in precipitation and relative air humidity, respectively, during the storm period; and (3) spores of Fusarium and Leptosphaeria, the concentration of which increases due to increase in precipitation and air temperature, respectively, during the post-storm period.
This research examines flood risk and adaption to it, including the possibility of out-migration, in two flood-prone coastal locations in the Philippines through the lens of Protection Motivation Theory. Much of the country is at risk of coastal flooding due to sea-level rise and from severe weather-related events. The data analyzed were obtained in 2016 and 2018 from focus group discussions with local residents, individual interviews with local government officials, and field observations. Residents’ and officials’ reports reveal a number of consistent themes in both places and over time, with some important differences. Both locations were grappling with regular minor to moderate flooding in 2016, as well as with occasional severe flooding. Respondents reported serious economic, health, and safety threats associated with flooding events. Recent infrastructure improvements appear to have reduced routine flood risk in one location, but considerable risk from major storms remains in both places. While some housing has been abandoned because of flood damage, and while some better-off residents have moved away, most are not currently considering retreat as a near-term solution. Instead, most people are adapting in place and attempting to devise strategies to mitigate flood risk in their communities.
