Storm Exposure Research Articles

When conflict becomes calamity: Understanding the role of armed conflict dynamics in natural disasters

Can armed conflict amplify the societal impacts and humanitarian consequences of natural hazards? Given that these hazards affect millions of people worldwide and that climate change is expected to increase the frequency and intensity of extreme weather events, it is paramount that we advance our understanding of what makes societies vulnerable to these hazards. Existing research has focused mainly on political violence as a consequence of natural hazard-related disasters but has neglected that conflict can also be an underlying factor that shapes the impact of these events. Consequently, we know little about whether and how exposure to violent armed conflict increases vulnerability to natural hazards. This study argues that the local dynamics of conflict can have a significant effect on vulnerability and empirically investigates how periods of high-intensity conflict can affect the humanitarian consequences of natural hazards in the context of tropical cyclones in the Philippines. By combining data on physical storm exposure with highly detailed subnational data on disaster fatalities and conflict events, the empirical analysis allows the identification of the independent effect of conflict on hazard impacts. Results show that local periods of high-intensity conflict significantly increase the humanitarian consequences of natural hazards. These results have important implications for research investigating the impacts of disasters on peace and conflict, as they show that the consequences of natural disasters depend fundamentally on pre-existing conflict dynamics.

Introducing a new hazard and exposure atlas for European winter storms

Winter storms are one of the riskiest natural hazards in Europe. They are often assessed either from a climatology perspective or the exposed land use type. However, for accurate storm protection management, analyzing compatible wind speed and land use data at the highest spatiotemporally accuracy is critical. Thus, the study goals were (1) modeling wind speed for the 27 most extreme winter storm events from 1993 to 2022 at high spatial resolution (250 m × 250 m) and (2) defining and developing new and representative storm hazard and storm exposure indices for forested area, built-up area, and population. The winter storm event-related wind speed was modeled using a least-squares boosting approach based on ERA5 reanalysis data and 1730 wind speed measurement sites from the integrated surface global hourly meteorological dataset. In combination with temporally variable population density, built-up area, and forested area grids, the storm exposure indices for the European NUTS3 regions were calculated. The coefficient of determination of the median of the modeled wind speed fields is 0.73 for an independent subset of measurement sites. The wind speed maps reveal the uniqueness of the winter storm events. Each storm only affects parts of Europe. The study also emphasizes the relevance of distinguishing between storm hazard and storm exposure. The exposure of built-up areas to winter storms has increased considerably in recent years. This example underlines that storm exposure is not temporally constant but depends on the development of wind speed and land use. Decision-makers can apply the results of this study to evaluate and improve the effectiveness of storm protection measures. The developed storm exposures indices enable a sector- and location-specific evaluation with high precision.

Inclement Weather and Risk of Missing Scheduled Hemodialysis Appointments among Patients with Kidney Failure.

Nonadherence to hemodialysis appointments could potentially result in health complications that can influence morbidity and mortality. We examined the association between different types of inclement weather and hemodialysis appointment adherence. We analyzed health records of 60,135 patients with kidney failure who received in-center hemodialysis treatment at Fresenius Kidney Care clinics across the Northeastern US counties during 2001-2019. County-level daily meteorological data on rainfall, hurricane and tropical storm events, snowfall, snow depth, and wind speed were extracted using National Oceanic and Atmosphere Agency data sources. A time-stratified case-crossover study design with conditional Poisson regression was used to estimate the effect of inclement weather exposures within the Northeastern US region. We applied a distributed lag nonlinear model framework to evaluate the delayed effect of inclement weather for up to 1 week. We observed positive associations between inclement weather and missed appointment (rainfall, hurricane and tropical storm, snowfall, snow depth, and wind advisory) when compared with noninclement weather days. The risk of missed appointments was most pronounced during the day of inclement weather (lag 0) for rainfall (incidence rate ratio [RR], 1.03 per 10-mm rainfall; 95% confidence interval [CI], 1.02 to 1.03) and snowfall (RR, 1.02; 95% CI, 1.01 to 1.02). Over 7 days (lag 0-6), hurricane and tropical storm exposures were associated with a 55% higher risk of missed appointments (RR, 1.55; 95% CI, 1.22 to 1.98). Similarly, 7-day cumulative exposure to sustained wind advisories was associated with 29% higher risk (RR, 1.29; 95% CI, 1.25 to 1.31), while wind gusts advisories showed a 34% higher risk (RR, 1.34; 95% CI, 1.29 to 1.39) of missed appointment. Inclement weather was associated with higher risk of missed hemodialysis appointments within the Northeastern United States. Furthermore, the association between inclement weather and missed hemodialysis appointments persisted for several days, depending on the inclement weather type.

Early-life exposure to Saharan dust storms and adolescence functional disability: Evidence from Cameroon

The direct link between early-life dust storm exposure and later-in-life outcomes is not fully understood. This study examines the association of functional disability in a large sample of adolescent Cameroonians (N = 112,855) with in-utero and early childhood exposure to Saharan dust storms. Adjusting all estimations for temperature, precipitation, time and location fixed-effects, and person and family sociodemographic characteristics, we documented adverse effects on functional disability in female adolescents due to exposure to dense dust storms during the third gestation trimester and the second postnatal trimester. We also found suggestive evidence that an effect exists for the first as well as the third through fifth postnatal trimesters. In the third trimester of gestation and the second postnatal trimester, exposure to an average length dust storm with PM10 levels beyond 190 μg/m3 increased the likelihood of disability among female adolescents by approximately 229 (95 % CI: 10–464) in 100,000. The size of the adverse effects for the other periods followed similar patterns.These results show the value of creating infrastructures to mitigate or adapt to the effects of dust storms. These endeavors should focus on communities and populations in and around the Sahara where international organizations can play a role. In addition, establishing health data infrastructures not only improves public health but also advances our understanding of the long-term effects of dust storms. This study demonstrates the importance of research on the long-term effects of early-life exposure to dust storms and the need for additional work on this topic.

Associations of hurricane exposure and forecasting with impaired birth outcomes

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.

Association Between Repeated Exposure to Hurricanes and Mental Health in a Representative Sample of Florida Residents

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. To assess psychosocial and mental health outcomes and functional impairment associated with repeated hurricane exposure. 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. Hurricanes Irma and Michael. 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. 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. 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.

Burden of dust storms on years of life lost in Seoul, South Korea: A distributed lag analysis

Although dust storms have been associated with adverse health outcomes, studies on the burden of dust storms on deaths are limited. As global warming has induced significant climate changes in recent decades, which have accelerated desertification worldwide, it is necessary to evaluate the burden of dust storm-induced premature mortality using a critical measure of disease burden, such as the years of life lost (YLL). The YLL attributable to dust storms have not been examined to date. This study investigated the association between Asian dust storms (ADS) and the YLL in Seoul, South Korea, during 2002–2013. We conducted a time-series study using a generalized additive model assuming a Gaussian distribution and applied a distributed lag model with a maximum lag of 5 days to investigate the delayed and cumulative effects of ADS on the YLL. We also conducted stratified analyses using the cause of death (respiratory and cardiovascular diseases) and sociodemographic status (sex, age, education level, occupation, and marital status). During the study period, 108 ADS events occurred, and the average daily YLL was 1511 years due to non-accidental causes. The cumulative ADS exposure over the 6-day lag period was associated with a significant increase of 104.7 (95% CI, 31.0–178.5 years) and 34.4 years (4.0–64.7 years) in the YLL due to non-accidental causes and cardiovascular mortality, respectively. Sociodemographic analyses revealed associations between ADS exposure and the YLL in males, both <65 and ≥ 65 years old, those with middle-level education, and the unemployed, unmarried, and widowed (26.5–83.8 years). This study provides new evidence suggesting that exposure to dust storms significantly increases the YLL. Our findings suggest that dust storms are a critical environmental risk affecting premature mortality. These results could contribute to the establishment of public health policies aimed at managing dust storm exposure and reducing premature deaths.

Evaluating the vulnerability of farming communities to winter storms in Iowa, US

Winter storms have been reported as the second-most frequent catastrophe in the Midwest of the United States and can create non-negligible impacts on farming communities that highly rely on climatic-sensitive resources and activities. However, few studies have attempted to assess the vulnerability to winter storms in rural contexts. Focusing on all counties in Iowa, US, as the study area, this research aimed to evaluate the vulnerability of farming communities to winter storms and its major determinants. It first identified both climatic and non-climatic indicators for quantifying winter storm exposure, sensitivity, and adaptive capacity by reviewing previous related studies and examining qualitative interview results. Then, spatial analysis tools were used to quantify and aggregate several indicators, such as winter temperature variation, natural shelter, energy capacity, and facility density. Next, factor analysis was employed to identify latent variables and estimate the index score for adaptive capacity. Finally, the vulnerability of Iowa counties to winter storms was calculated and mapped. The results showed that the determinants of adaptive capacity to winter storms in Iowa could be explained as farming economic status, environmental institutional capital, and innovative capital. Overall, high vulnerability was found in Southeast Iowa due to its low farming economic status and innovative capital, and Northwest Iowa as a result of high exposure and low environmental institutional capital. In a state with dominant farming communities, whether to include its major metropolitan areas to assess winter storm vulnerability seemed to only affect the evaluation of the general pattern of adaptive capacity but not exposure or sensitivity.

Long-Term Community Dynamics Reveal Different Trajectories for Two Mid-Atlantic Maritime Forests

Maritime forests are threatened by sea-level rise, storm surge and encroachment of salt-tolerant species. On barrier islands, these forested communities must withstand the full force of tropical storms, hurricanes and nor’easters while the impact is reduced for mainland forests protected by barrier islands. Geographic position may account for differences in maritime forest resilience to disturbance. In this study, we quantify two geographically distinct maritime forests protected by dunes on Virginia’s Eastern Shore (i.e., mainland and barrier island) at two time points (15 and 21 years apart, respectively) to determine whether the trajectory is successional or presenting evidence of disassembly with sea-level rise and storm exposure. We hypothesize that due to position on the landscape, forest disassembly will be higher on the barrier island than mainland as evidenced by reduction in tree basal area and decreased species richness. Rate of relative sea-level rise in the region was 5.9 ± 0.7 mm yr−1 based on monthly mean sea-level data from 1975 to 2017. Savage Neck Dunes Natural Area Preserve maritime forest was surveyed using the point quarter method in 2003 and 2018. Parramore Island maritime forest was surveyed in 1997 using 32 m diameter circular plots. As the island has been eroding over the past two decades, 2016 Landsat imagery was used to identify remaining forested plots prior to resurveying. In 2018, only plots that remained forested were resurveyed. Lidar was used to quantify elevation of each point/plot surveyed in 2018. Plot elevation at Savage Neck was 1.93 ± 0.02 m above sea level, whereas at Parramore Island, elevation was lower at 1.04 ± 0.08 m. Mainland dominant species, Acer rubrum, Pinus taeda, and Liquidambar styraciflua, remained dominant over the study period, with a 14% reduction in the total number of individuals recorded. Basal area increased by 11%. Conversely, on Parramore Island, 33% of the former forested plots converted to grassland and 33% were lost to erosion and occur as ghost forest on the shore or were lost to the ocean. Of the remaining forested plots surveyed in 2018, dominance switched from Persea palustris and Juniperus virginiana to the shrub Morella cerifera. Only 46% of trees/shrubs remained and basal area was reduced by 84%. Shrub basal area accounted for 66% of the total recorded in 2018. There are alternative paths to maritime forest trajectory which differ for barrier island and mainland. Geographic position relative to disturbance and elevation likely explain the changes in forest community composition over the timeframes studied. Protected mainland forest at Savage Neck occurs at higher mean elevation and indicates natural succession to larger and fewer individuals, with little change in mixed hardwood-pine dominance. The fronting barrier island maritime forest on Parramore Island has undergone rapid change in 21 years, with complete loss of forested communities to ocean or conversion to mesic grassland. Of the forests remaining, dominant evergreen trees are now being replaced with the expanding evergreen shrub, Morella cerifera. Loss of biomass and basal area has been documented in other low elevation coastal forests. Our results indicate that an intermediate shrub state may precede complete loss of woody communities in some coastal communities, providing an alternative mechanism of resilience.

Antecedent lake conditions shape resistance and resilience of a shallow lake ecosystem following extreme wind storms

AbstractExtreme wind storms can strongly influence short‐term variation in lake ecosystem functioning. Climate change is affecting storms by altering their frequency, duration, and intensity, which may have consequences for lake ecosystem resistance and resilience. However, catchment and lake processes are simultaneously affecting antecedent lake conditions which may shape the resistance and resilience landscape prior to storm exposure. To determine whether storm characteristics or antecedent lake conditions are more important for explaining variation in lake ecosystem resistance and resilience, we analyzed the effects of 25 extreme wind storms on various biological and physiochemical variables in a shallow lake. Using boosted regression trees to model observed variation in resistance and resilience, we found that antecedent lake conditions were more important (relative importance = 67%) than storm characteristics (relative importance = 33%) in explaining variation in lake ecosystem resistance and resilience. The most important antecedent lake conditions were turbidity, Schmidt stability, %O2 saturation, light conditions, and soluble reactive silica concentrations. We found that storm characteristics were all similar in their relative importance and results suggest that resistance and resilience decrease with increasing duration, mean precipitation, shear stress intensity, and time between storms. In addition, we found that antagonistic or opposing effects between the biological and physiochemical variables influence the overall resistance and resilience of the lake ecosystem under specific lake and storm conditions. The extent to which these results apply to the resistance and resilience of different lake ecosystems remains an important area for inquiry.

Local Human Impacts Disrupt Relationships Between Benthic Reef Assemblages and Environmental Predictors

Human activities are changing ecosystems at an unprecedented rate, yet large-scale studies into how local human impacts alter natural systems and interact with other aspects of global change are still lacking. Here we provide empirical evidence that local human impacts fundamentally alter relationships between ecological communities and environmental drivers. Using tropical coral reefs as a study system, we investigated the influence of contrasting levels of local human impact using a spatially extensive dataset spanning 62 outer reefs around inhabited Pacific islands. We tested how local human impacts (low versus high determined using a threshold of 25 people km−2 reef) affected benthic community (i) structure, and (ii) relationships with environmental predictors using pre-defined models and model selection tools. Data on reef depth, benthic assemblages, and herbivorous fish communities were collected from field surveys. Additional data on thermal stress, storm exposure, and market gravity (a function of human population size and reef accessibility) were extracted from public repositories. Findings revealed that reefs subject to high local human impact were characterised by relatively more turf algae (>10% higher mean absolute coverage) and lower live coral cover (9% less mean absolute coverage) than reefs subject to low local human impact, but had similar macroalgal cover and coral morphological composition. Models based on spatio-physical predictors were significantly more accurate in explaining the variation of benthic assemblages at sites with low (mean adjusted-R2 = 0.35) rather than high local human impact, where relationships became much weaker (mean adjusted-R2 = 0.10). Model selection procedures also identified a distinct shift in the relative importance of different herbivorous fish functional groups in explaining benthic communities depending on the local human impact level. These results demonstrate that local human impacts alter natural systems and indicate that projecting climate change impacts may be particularly challenging at reefs close to higher human populations, where dependency and pressure on ecosystem services are highest.

High Rates of Exposure to Simulated Winter Storm Cues Negatively Affect White-Throated Sparrow (Zonotrichia albicollis) Energy Reserves

Climate change is causing changes in weather patterns and more frequent extreme weather events. Although birds are often able to cope with and respond to inclement weather with physiological and behavioral responses, as weather events become more severe or frequent the adaptive coping responses of many species may be pushed beyond their limits. We investigated the effects of experimental recurrent inclement winter weather cues on body composition, glucocorticoid hormones, and behavior of white-throated sparrows (Zonotrichia albicollis). We used a hypobaric climatic wind tunnel to simulate storms by transiently decreasing barometric pressure and temperature, and measured behavioral responses, body composition, and baseline corticosterone levels in birds exposed, or not exposed (control), to different frequencies of simulated storms. In study 1, experimental birds were exposed to one storm per week over 9 weeks. In study 2, experimental birds were exposed to two storms per week over 12 weeks. Birds exposed to one simulated storm per week had higher fat and lean masses than control birds, with no differences in the amount of time groups spent feeding. This change in body composition suggests that birds were coping by increasing energy stores. In contrast, birds exposed to two simulated storms per week had lower fat masses compared to control birds, even though they spent more time feeding. Experimental birds in study 2 also had lower baseline corticosterone levels than controls. These changes suggest that the coping response observed in study 1 was overcome in study 2. These findings provide novel experimental evidence that birds detect and respond to changes in temperature and barometric pressure independent of other storm-related cues. One simulated storm per week resulted in potentially adaptive responses of increase mass. However, increasing the frequency of storm exposure to twice per week may exceed a physiological threshold for tolerance to which these songbirds are able to cope. These results also experimentally demonstrate that repeated exposure to inclement weather cues can directly affects birds’ energy reserves, with strong implications for survival as severe weather events continue to become more prevalent.

Hurricane Sandy Effects on Coastal Marsh Elevation Change

High-magnitude storm events such as Hurricane Sandy are powerful agents of geomorphic change in coastal marshes, potentially altering their surface elevation trajectories. But how do a storm’s impacts vary across a large region spanning a variety of wetland settings and storm exposures and intensities. We determined the short-term impacts of Hurricane Sandy at 223 surface elevation table–marker horizon stations in estuarine marshes located across the northeast region of the United States by comparing post-storm surface elevation change with pre-storm elevation trends. We hypothesized that the storm’s effect on marsh elevation trends would be influenced by position relative to landfall (right or left) and distance from landfall. The structural equation model presented predicts that marshes located to the left of landfall were more likely to experience an elevation gain greater than expected, and this positive deviation from pre-storm elevation trends tended to have a greater magnitude than those experiencing negative deviations (elevation loss), potentially due to greater sediment deposition. The magnitude of negative deviations from elevation change in marshes to the right of landfall was greater than for positive deviations, with a greater effect in marshes within 200 km of landfall, potentially from the extent and magnitude of storm surge. Overall, results provide an integrated picture of how storm characteristics combined with the local wetland setting are important to a storm’s impact on surface elevation, and that the surface elevation response can vary widely among sites across a region impacted by the same storm.

The implication of the increase in storm frequency and intensity to coastal housing markets

AbstractThis paper analyzes the effects of storm frequency and intensity on housing values in Miami‐Dade County over the last three decades. We found that higher storm exposure accelerates the housing price discount caused by augmented flood risk. The adverse effects of frequency and intensity have different impacts on perception of flood probabilities. Storm frequency affects housing prices in lower flood risk areas, whereas intensity influences the market in the higher risk zone, due to the different risk perceptions between the two factors. The results shed light on how increases in storm frequency and intensity impact the dynamics of flood risk perception in different floodplains on the coastal housing markets, suggesting future directions of flood prevention policies. Our findings highlight that one additional hurricane event is associated with a housing price discount of 1.3%. This adverse impact of frequency increases to 2.0% in the 500‐year floodplain zones, while higher storm intensity reduces housing values in the 100‐year floodplain zones by 1.5%.

Physical and elemental analysis of Middle East sands from recent combat zones

Objective: The lungs are uniquely exposed to the external environment. Sand and dust exposures in desert regions are common among deployed soldiers. A significant number of Veterans deployed to the Middle East report development of respiratory disorders and diseases.Materials and methods: Sand collected from Fallujah, Iraq and Kandahar, Afghanistan combat zones was analyzed and compared to a sand sample collected from an historic United States (U.S.) battle region (Fort Johnson, James Island, SC, Civil War battle site). Sand samples were analyzed to determine the physical and elemental characteristics that may have the potential to contribute to development of respiratory disease.Results: Using complementary scanning electron microscopy (SEM) imaging and analysis, and inductively coupled plasma mass spectrometry (ICP-MS), it was determined that Iraq sand contained elevated levels of calcium and first row transition metals versus Afghanistan and U.S. sand. Iraq sand particle texture was smooth and round, and particles were considerably smaller than Afghanistan sand. Afghanistan sand was elevated in rare earth metals versus Iraq or U.S. sands and had sharp edge features and larger particle size than Iraq sand.Conclusions: These data demonstrate significant differences in Iraq and Afghanistan sand particle size and characteristics. Middle East sands contained elevated levels of elements that have been associated with respiratory disease versus control site sand, suggesting the potential of sand/dust storm exposure to promote adverse respiratory symptoms. Data also demonstrate the potential for variation based on geographical region or site of exposure. The data generated provide baseline information that will be valuable in designing future exposure studies.

Forecast: Increasing Mental Health Consequences From Atlantic Hurricanes Throughout the 21st Century.

Global environmental climate change is altering the behavior of hurricanes. Hurricane seasons are becoming more active, generating storms that are ever more damaging to coastal and island communities. Exposure to hurricane hazards and experiencing resultant losses and life changes can lead to new-onset mental disorders among previously healthy survivors and jeopardize the health of persons with preexisting mental illness. High rates of common mental disorders have been documented after recent hurricanes. As hurricanes become increasingly severe, health care systems may expect to see more mental illness related to these extreme storms. Psychiatrists and allied health professionals can play vital roles in several areas: educating and preparing current caseloads of patients for possible storm impacts; intervening with persons who develop new-onset disorders after storm exposure; providing consultation to public health and community preparedness leadership about the mental health consequences of hurricanes; participating actively in community emergency response; and championing the integration of psychiatry with climate science and advocacy.

The Impact of Tropical Storms on Households: Evidence from Panel Data on Consumption

AbstractThis paper investigates the impact of tropical storms on Jamaican household consumption. We build a panel data set that follows individual households over time thus enabling us to take account of time invariant household and location unobservables that could be correlated with mean tropical storm exposure. Our results show that while the average damaging hurricane reduces per capita consumption by approximately 1.1%, more destructive events can cause losses multiple times this amount. There are, however, heterogeneous impacts across households, where only those that live in buildings with less wind resistant walls are affected. Additionally, we find that households are able to partially buffer the negative impact on consumption through remittances and savings, as well as by shifting funds away from non‐regular expenditures. Again, households differ in the nature of this buffering according to the wind resistance of their buildings.

Sleep problems and religious coping as possible mediators of the association between tropical storm exposure and psychological functioning among emerging adults in Dominica.

Sleep problems and religious coping as possible mediators of the association between tropical storm exposure and psychological functioning among emerging adults in Dominica.

Tropical storms and mortality under climate change

Abstract Extreme weather induced by climate change can have major consequences for human health. In this study, I quantify the effect of tropical storm frequency and severity on mortality using objective meteorological data and the universe of vital statistics records from a large developing country, Mexico. Using a measure of storm exposure that accounts for both windspeed dispersion and population density along the storm track, I project changes in past storm-related mortality under various scenarios of continued climate change, while holding population and income at contemporaneous levels. I find that storm-related deaths would have risen under most climate change scenarios considered, with increases of as much as 52% or declines of as much as 10%, depending on the interplay between increasing storm severity and decreased frequency.

Tropical Storms and Mortality Under Climate Change

Extreme weather induced by climate change can have major consequences for human health. In this study, I quantify the effect of tropical storm frequency and severity on mortality using objective meteorological data and the universe of vital statistics records from a large developing country, Mexico. Using a measure of storm exposure that accounts for both windspeed dispersion and population density along the storm track, I project changes in past storm-related mortality under various scenarios of continued climate change, while holding population and income at current levels. I find that storm-related deaths would have risen under most climate change scenarios considered, with increases of as much as 52% or declines of as much as 10%, depending on the interplay between increasing storm severity and decreased frequency.