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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.

Competing Interests: All authors have completed and submitted the International Committee of Medical Journal Editors form for disclosure of potential conflicts of interest. No potential conflicts of interest were disclosed.

Objectives: The objective of this study is to understand how Cuba responds to extreme weather events, which can help identify and disseminate good public health practice., Study Design: The study design of this study is an observational study using routinely collected mortality data., Methods: National daily mortality counts after severe hurricanes arrived on the Cuba landmass since 1990 were compared with baseline values. Incidence rate ratios of mortality during the hurricane and for the four weeks afterwards were calculated for four eligible hurricanes: Georges (1998), Dennis (2005), Ike (2008) and Irma (2017)., Results: Mortality rates decreased over time (P < 0.001 for interaction), and no excess mortality counts were observed after Hurricane Irma in 2017., Conclusions: Mortality rates for severe hurricanes that have made landfall in Cuba have decreased over three decades, despite the most recent hurricane (Irma) being one of the strongest observed in recent decades. This suggests that the Cuban public health preparations and responses to recent severe hurricanes are probably contributing to this mitigation in national mortality rates during these periods., (Copyright © 2020 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.)

Strong institutions as well as economic development are generally understood to play critical roles in protecting societies from the adverse impacts of natural hazards, such as tropical cyclones. The independent effect of institutions on reducing these risks, however, has not been confirmed empirically in previous global studies. As a storm's path and intensity influence the severity of the damages and may be spatially correlated with human vulnerabilities, failing to accurately capture physical exposure in an econometric analysis may result in imprecise and biased estimates of the influence of the independent variables. Here, we develop an approach to control for physical exposure by spatially interacting meteorological and socioeconomic data for over 1,000 tropical cyclone disasters from 1979 to 2016. We find evidence that higher levels of national government effectiveness are associated with lower tropical cyclone mortality, even when controlling for average income and other socioeconomic conditions. Within countries, deaths are higher when strong winds are concentrated over areas of the country with elevated infant mortality rates, an indicator of institutional effectiveness through public service delivery. These results suggest that policies and programs to enhance institutional capacity and governance can support risk reduction from extreme weather events., Competing Interests: The authors declare no competing interest.

Importance: Nursing home residents are at heightened risk for morbidity and mortality following an exposure to a disaster such as a hurricane or the COVID19 pandemic. Previous research has shown that nursing home resident mortality related to disasters is frequently underreported. There is a need to better understand the consequences of disasters on nursing home residents and to differentiate vulnerability based on patient characteristics., Objective: To evaluate mortality and morbidity associated with exposure to Hurricane Irma, a Category 4 storm that made landfall on September 10, 2017, in Cudjoe Key, Florida, among short-stay (<90-day residence) and long-stay (≥90-day residence) residents of nursing homes., Design, Setting, and Participants: Cohort study of Florida nursing home residents comparing residents exposed to Hurricane Irma in September 2017 to a control group of residents residing at the same nursing homes over the same time period in calendar year 2015. Data were analyzed from August 28, 2019, to July 22, 2020., Exposure: Residents who experienced Hurricane Irma were considered exposed; those who did not were considered unexposed., Main Outcome and Measures: Outcome variables included 30-day and 90-day mortality and first hospitalizations after the storm in both the short term and the long term., Results: A total of 61 564 residents who were present in 640 Florida nursing home facilities on September 7, 2017, were identified. A comparison cohort of 61 813 residents was evaluated in 2015. Both cohorts were mostly female (2015, 68%; 2017, 67%), mostly White (2015, 79%; 2017, 78%), and approximately 40% of the residents in each group were over the age of 85 years. Compared with the control group in 2015, an additional 262 more nursing home deaths were identified at 30 days and 433 more deaths at 90 days. The odds of a first hospitalization for those exposed (vs nonexposed) were 1.09 (95% CI, 1.05-1.13) within the first 30 days after the storm and 1.05 (95% CI, 1.02-1.08) at 90 days; the odds of mortality were 1.12 (95% CI, 1.05-1.18) at 30 days and 1.07 (95% CI, 1.03-1.11) at 90 days. Among long-stay residents, the odds of mortality for those exposed to Hurricane Irma were 1.18 (95% CI, 1.08-1.29) times those unexposed and the odds of hospitalization were 1.11 (95% CI, 1.04-1.18) times those unexposed in the post 30-day period., Conclusions and Relevance: The findings of this study suggest that nursing home residents are at considerable risk to the consequences of disasters. These risks may be underreported by state and federal agencies. Long-stay residents, those who have resided in a nursing home for 90 days or more, may be most vulnerable to the consequences of hurricane disasters.

The co-occurrence of the 2020 Atlantic hurricane season and the ongoing coronavirus disease 2019 (COVID-19) pandemic creates complex dilemmas for protecting populations from these intersecting threats. Climate change is likely contributing to stronger, wetter, slower-moving, and more dangerous hurricanes. Climate-driven hazards underscore the imperative for timely warning, evacuation, and sheltering of storm-threatened populations - proven life-saving protective measures that gather evacuees together inside durable, enclosed spaces when a hurricane approaches. Meanwhile, the rapid acquisition of scientific knowledge regarding how COVID-19 spreads has guided mass anti-contagion strategies, including lockdowns, sheltering at home, physical distancing, donning personal protective equipment, conscientious handwashing, and hygiene practices. These life-saving strategies, credited with preventing millions of COVID-19 cases, separate and move people apart. Enforcement coupled with fear of contracting COVID-19 have motivated high levels of adherence to these stringent regulations. How will populations react when warned to shelter from an oncoming Atlantic hurricane while COVID-19 is actively circulating in the community? Emergency managers, health care providers, and public health preparedness professionals must create viable solutions to confront these potential scenarios: elevated rates of hurricane-related injury and mortality among persons who refuse to evacuate due to fear of COVID-19, and the resurgence of COVID-19 cases among hurricane evacuees who shelter together.

The United States (US) and Caribbean regions remain vulnerable to the impact of severe tropical storms, hurricanes, and typhoons. In 2017, a series of hurricanes posed threats to residents living in inland and coastal communities as well as on islands isolated from the US mainland. Harvey, Irma, Jose, and Maria caused catastrophic infrastructure damage, resulting in a loss of electrical power and communications due to damaged or downed utility poles, cell towers, and transmission lines. Critical services were inoperable for many months. Emergency managers are public officials who are accountable to both political leaders and the citizens. During disaster events, emergency managers must prioritize areas of effort, manage personnel, and communicate with stakeholders to address critical infrastructure interdependences. Essential lifeline services (eg, energy and communications) were inoperable for many months, which led to increased attention from policy-makers, media, and the public.

Objective: Describe the lived experience of a grassroots, non-governmental disaster medical team (DMT) through a research lens and share practical lessons learned, based on the DMT's experience to support and inform future response teams., Methods: Forty-five days after Hurricane Maria, a non-governmental DMT provided primary medical care via community based pop-up clinics and home visitations in 5 different areas of Puerto Rico. Observational data, photo images, and debriefing notes were collected and documented in the response team's daily activity log. Field notes were coded using a descriptive coding method and then categorized into 2 domains specific to public health and medical diagnosis., Results: Medical aid was provided to nearly 300 (N = 296) residents. Field note observations identified exhaustion related to living conditions and the exacerbation of underlying conditions such as reactive airway diseases, diabetes, hypertension, and depression due to the compounding effects of multiple post-disaster triggers. During home visitations, feelings of sadness and helplessness were identified secondary to natural disaster trauma and current living conditions., Conclusion: Our non-governmental DMT displayed similar characteristics demonstrated by federal DMTs post natural disaster. A number of strategic lessons learned emerged from the public health intervention important to future non-governmental DMTs.

In August 2005, Hurricane Katrina caused unprecedented damage, widespread population displacement, and exposed Gulf Coast residents to traumatic events. The hurricane's adverse impact on survivors' mental health was apparent shortly after the storm and persisted, but no study has examined the long-term effects now that more than a decade has transpired. Using new data from a panel study of low-income mothers interviewed once before Hurricane Katrina and now three times after, we document changes in mental health, and estimate the sociodemographic and hurricane-related factors associated with long-term trajectories of mental health. We find that post-traumatic stress symptoms (PTSS) declined at each of the three post-Katrina follow-ups, but 12 years after the hurricane, one in six still had symptoms indicative of probable post-traumatic stress disorder. The rate of non-specific psychological distress (PD) remained consistently higher in all three follow-ups, compared to the pre-disaster period. In full covariate-adjusted models, no sociodemographic variables predicted long-run combinations of PTSS and PD. However, 12 years later, exposure to hurricane-related traumatic events and pre-disaster PD significantly predicted co-occurring PTSS and PD. Hurricane-related housing damage predicted PTSS in earlier follow-ups, but no longer predicted PTSS in the long-term. Furthermore, hurricane-related traumatic events significantly differentiated the risk of having persistent PTSS, relative to recovering from PTSS. The results suggest that there is still a non-negligible group of survivors with continued need for recovery resources and that exposure to traumatic events is a primary predictor of adverse mental health more than a decade post-disaster., (Copyright © 2019 Elsevier Ltd. All rights reserved.)

Objective: To estimate the long-run mortality effects of Hurricanes Katrina and Rita on seniors with diabetes., Research Design and Methods: We performed a retrospective cohort analysis of Medicare enrollment and claims data covering four states and ∼10 years. Affected individuals were identified by whether they lived in a county that suffered a high impact and were stratified by whether they moved to a different county following the storms. Propensity scores matched affected and comparison subjects based on demographic and socioeconomic characteristics and the presence of chronic conditions. Our sample consisted of 170,328 matched affected subjects., Results: The affected subjects had a nearly 40% higher all-cause mortality risk in the 1st month after the storms, but the difference fell to <6% by the end of the full observation period. The mortality risks of heart disease and nephritis also exhibited the largest differences immediately following the storms. Among the affected subjects, the all-cause mortality risk was higher for those who moved to a different county, with an especially large difference among those who moved to an affected county., Conclusions: The propensity matching procedure resulted in the comparison and affected groups having similar observable characteristics. However, we only examined the extreme outcome of mortality, our definition of affected was somewhat crude, and our sample did not include individuals enrolled in Medicare Advantage. Our findings highlight the importance of the immediate response to disasters, yet also demonstrate the long-lasting impact disasters can have., (© 2019 by the American Diabetes Association.)

Estimation of excess deaths due to a natural disaster is an important public health problem. The CDC provides guidelines to fill death certificates to help determine the death toll of such events. But, even when followed by medical examiners, the guidelines cannot guarantee a precise calculation of excess deaths. We propose two models to estimate excess deaths due to an emergency. The first model is simple, permitting excess death estimation with little data through a profile likelihood method. The second model is more flexible, incorporating temporal variation, covariates, and possible population displacement while allowing inference on how the emergency's effect changes with time. The models are implemented to build confidence intervals estimating Hurricane Maria's death toll., (© 2019 John Wiley & Sons, Ltd.)

García Márquez's novel, "Chronicle of a Death Foretold", narrates the multiple strands of a story leading up to a murder in a small Caribbean village. The novel shows both the incredulity of those who do not believe it possible that this tragic death could occur, and the impotence of those who see it coming but can do nothing to prevent it. Something akin to this double incapacity seems to be occurring today in Puerto Rico. In September 2017, the passage of Hurricanes Irma and María caused a public health disaster with large-scale death and destruction. Paradoxically, this catastrophe has made visible the need to evaluate the critical socio-environmental situation of this country, and to analyse the underlying social factors contributing to the problems caused by the hurricanes. Why did neither the US nor the Puerto Rican government react as expected when faced with such a serious situation? For decades, this country has been suppressed by colonial domination, exploitation of the workforce, and health discrimination. It has been a "laboratory", where colonial practices have institutionalized social control, racism, and inequality, with profound negative effects on society, quality of life and health equality. Poverty and unemployment have always been very high, and thousands of families live in precarious housing situations. Additionally, current labour reforms imposed as part of a neoliberal agenda, are eroding the job security and protections of the working population, while education, health, housing, pensions, energy, and land are being progressively privatized. What are the root causes of this situation? What future does the country await? To answer these questions, critical and comprehensive scrutiny of history showing what the hurricanes have helped to make visible is required. This shows that neoliberal colonialism has shaped the social features behind the principle health and inequality problems of the Puerto-Rican population., (Copyright © 2019 Elsevier Ltd. All rights reserved.)

Understanding the circumstances and conditions surrounding disaster-attributed deaths may contribute to designing and implementing emergency preparedness and response programmes. This paper introduces a three-step cluster analysis of multiple binary variables to investigate mortality patterns related to tropical cyclones. It is designed to overcome the difficulties of performing cluster analysis in a disaster database that is composed in part of nominal variables and is unavoidably incomplete owing to missing information. The first step in the process codes all variables as binary data in order to accommodate the nominal variables. The second step calculates Spearman's rank correlation coefficients for pairs of variables. And the third step subjects the correlation coefficients to cluster analysis. Data related to 1,575 deaths attributed to tropical cyclones (also known as typhoons) that struck Taiwan between 2000 and 2015 are used to illustrate the method. The results yield two distinct groups of variables that are worthy of further exploration., (© 2019 The Authors Disasters © 2019 Overseas Development Institute.)

Purpose: Although the wind, rain, and flooding of Hurricane Maria in Puerto Rico abated shortly after its landfall on September 20, 2017, the disruption of the electrical, communications, transportation, and medical infrastructure of the island was unprecedented in scope and caused lasting harm for many months afterward. A compilation of recommendations from radiation oncologists who were in Puerto Rico during the disaster, and from a panel of American Society for Radiation Oncology (ASTRO) cancer experts was created., Methods and Materials: Radiation oncologists throughout Puerto Rico collaborated and improvised to continue treating patients in the immediate aftermath of the storm and as routine clinical operations were restored gradually. Empirical lessons from the experience of radiation therapy administration in this profoundly altered context of limited resources, impaired communication, and inadequate transportation were organized into a recommended template, applicable to any radiation oncology practice. ASTRO disease-site experts provided evidence-guidelines for mitigating the impact of a 2- to 3-week interruption in radiation therapy., Results: Practical measures to mitigate the medical impact of a disaster are summarized within the framework of "Prepare, Communicate, Operate, Compensate." Specific measures include the development of an emergency operations plan tailored to specific circumstances, prospective coordination with other radiation oncology clinics before a disaster, ongoing communications with emergency management organizations, and routine practice of alternate methods to disseminate information among providers and patients., Conclusions: These recommendations serve as a starting point to assist any radiation oncology practice in becoming more resiliently prepared for a local or regional disruption from any cause. Disease-site experts provide evidence-based guidelines on how to mitigate the impact of a 2- to 3-week interruption in radiation therapy for lung, head and neck, uterine cervix, breast, and prostate cancers through altered fractionation or dose escalation., (Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.)

Objectives. To determine the number and causes of excess deaths in Puerto Rico after Hurricane Maria made landfall on September 20, 2017. Methods. We obtained monthly vital statistics data on all deaths from January 2008 through October 2017. We conducted a time-series analysis to estimate excess mortality in September and October 2017 overall and by age, sex, and cause of death. Results. We estimated a total of 1205 excess deaths (95% confidence interval [CI] = 707, 1702). Excess deaths were slightly higher among men than women (632 and 579 deaths, respectively) and found only among people aged 60 years or older (1038 deaths). Most excess deaths occurred from heart disease (253 deaths), "other" causes (204 deaths), diabetes (195 deaths), Alzheimer's disease (122 deaths), and septicemia (81 deaths). Conclusions. The number of excess deaths was similar to recent government estimates. However, this study is the first to identify the causes of death that were exacerbated by the disaster. Public Health Implications. An accurate estimation of the top causes of excess mortality can help authorities plan resource allocation for the island's recovery and for the prevention of deaths in future disasters.

Objective: The purpose of this study was to investigate the 10-year impact of Hurricane Katrina on the incidence of acute myocardial infarction (AMI) along with contributing risk factors and any alteration in chronobiology of AMI., Methods: A single-center, retrospective, comparison study of AMI incidence was performed at Tulane University Health Sciences Center from 2 years before Hurricane Katrina to 10 years after Hurricane Katrina. A 6-year, pre-Katrina and 10-year, post-Katrina cohort were also compared according to pre-specified demographic, clinical, and chronobiological data., Results: AMI incidence increased from 0.7% (150/21,079) to 2.8% (2,341/84,751) post-Katrina (P&lt;0.001). The post-Katrina cohort had higher rates of coronary artery disease (36.4% vs. 47.9%, P=0.01), diabetes mellitus (31.3% vs. 39.9%, P=0.04), hyperlipidemia (45.4% vs. 59.3%, P=0.005), smoking (34.4% vs. 53.8%, P&lt;0.001), drug abuse (10.2% vs. 15.4%, P=0.02), psychiatric illness (6.7% vs. 14.9%, P&lt;0.001), medication non-adherence (7.3% vs. 15.3%, P&lt;0.001), and lack of employment (7.2% vs. 16.4%, P&lt;0.001). The post-Katrina group had increased rates of AMI during nights (29.8% vs. 47.8%, P&lt;0.001) and weekends (16.1% vs. 29.1%, P&lt;0.001)., Conclusions: Even 10 years after the storm, Hurricane Katrina continues to be associated with increased incidence of AMI, higher prevalence of traditional cardiovascular and psychosocial risk factors, and an altered chronobiology of AMI toward nights and weekends. (Disaster Med Public Health Preparedness. 2019;13:217-222).

Background: Hurricane Maria struck Puerto Rico on Sept 20, 2017, devastating the island. Controversy surrounded the official death toll, fuelled by estimates of excess mortality from academics and investigative journalists. We analysed all-cause excess mortality following the storm., Methods: We did a time-series analysis in Puerto Rico from September, 2017, to February, 2018. Mortality data were from the Puerto Rico Vital Statistics System. We developed two counterfactual scenarios to establish the population at risk. In the first scenario, the island's population was assumed to track the most recent census estimates. In the second scenario, we accounted for the large-scale population displacement. Expected mortality was projected for each scenario through over-dispersed log-linear regression from July, 2010, to August, 2017, taking into account changing distributions of age, sex, and municipal socioeconomic development, as well as both long-term and seasonal trends in mortality. Excess mortality was calculated as the difference between observed and expected deaths., Findings: Between September, 2017, and February, 2018, we estimated that 1191 excess deaths (95% CI 836-1544) occurred under the census scenario. Under the preferred displacement scenario, we estimated that 2975 excess deaths (95% CI 2658-3290) occurred during the same observation period. The ratio of observed to expected mortality was highest for individuals living in municipalities with the lowest socioeconomic development (1·43, 95% CI 1·39-1·46), and for men aged 65 years or older (1·33, 95% CI 1·30-1·37). Excess risk persisted in these groups throughout the observation period., Interpretation: Analysis of all-cause mortality with vital registration data allows for unbiased estimation of the impact of disasters associated with natural hazards and is useful for public health surveillance. It does not depend on certified cause of death, the basis for the official death toll in Puerto Rico. Although all sectors of Puerto Rican society were affected, recovery varied by municipal socioeconomic development and age groups. This finding calls for equitable disaster preparedness and response to protect vulnerable populations in disasters., Funding: Forensic Science Bureau, Department of Public Safety, and Milken Institute School of Public Health of The George Washington University (Washington, DC, USA)., (Copyright © 2018 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved.)

Three powerful and devastating hurricanes from the 2017 Atlantic hurricane season (Harvey [August 17-September 1], Irma [August 30-September 13], and Maria [September 16-October 2]) resulted in the deaths of hundreds of persons. Disaster-related mortality surveillance is critical to an emergency response because it provides government and public health officials with information about the scope of the disaster and topics for prevention messaging. CDC's Emergency Operations Center collaborated with state health departments in Florida, Georgia, and North Carolina to collect and analyze Hurricane Irma-related mortality data to understand the main circumstances of death. The most common circumstance-of-death categories were exacerbation of existing medical conditions and power outage. Further analysis revealed two unique subcategories of heat-related and oxygen-dependent deaths in which power outage contributed to exacerbation of an existing medical condition. Understanding the need for subcategorization of disaster-related circumstances of death and the possibility of overlapping categories can help public health practitioners derive more effective public health interventions to prevent deaths in future disasters., Competing Interests: No conflicts of interest were reported.

Objectives: To determine whether, during a hurricane, geographic accessibility to hospitals with emergency care is compromised disproportionately for the elderly than for the nonelderly., Methods: The locations of hospitals with emergency health care and a subset of those hospitals functional during a hurricane were compared with the distribution of the elderly population at the block group level in Palm Beach County, Florida. Geographic Information Systems (GIS) proximity analysis (minimum distance to closest hospital) and cumulative distribution functions were used to measure and compare hospital accessibility during normal and hurricane conditions for the elderly and nonelderly populations., Results: Accessibility to closest functional hospital during a hurricane was compromised disproportionately for the elderly., Conclusion: Geographic accessibility to emergency health care is compromised disproportionately for the elderly in Palm Beach County. Compounding the risk is the likelihood of the elderly experiencing a greater health care need during a hurricane. This poses a community public health crisis and calls for effective and collaborative planning between health professionals and disaster planners to address the health care needs of the elderly. (Disaster Med Public Health Preparedness. 2018; 12: 296-300).

Island officials have struggled to capture Hurricane Maria's full impact in mortality statistics.

Objective: Older adults are a potentially medically vulnerable population with increased mortality rates during and after disasters. To evaluate the impact of a natural disaster on this population, we performed a temporal and geospatial analysis of emergency department (ED) use by adults aged 65 years and older in New York City (NYC) following Hurricane Sandy's landfall., Methods: We used an all-payer claims database to analyze demographics, insurance status, geographic distribution, and health conditions for post-disaster ED visits among older adults. We compared ED patterns of use in the weeks before and after Hurricane Sandy throughout NYC and the most afflicted evacuation zones., Results: We found significant increases in ED utilization by older adults (and disproportionately higher in those aged ≥85 years) in the 3 weeks after Hurricane Sandy, especially in NYC evacuation zone one. Primary diagnoses with notable increases included dialysis, electrolyte disorders, and prescription refills. Secondary diagnoses highlighted homelessness and care access issues., Conclusions: Older adults display heightened risk for worse health outcomes with increased ED visits after a disaster. Our findings suggest the need for dedicated resources and planning for older adults following a natural disaster by ensuring access to medical facilities, prescriptions, dialysis, and safe housing and by optimizing health care delivery needs to reduce the burden of chronic disease. (Disaster Med Public Health Preparedness. 2018;12:184-193).

In September 2005, nearly 3.7 million people evacuated the Texas coastline in advance of Hurricane Rita's landfall, making the event the largest emergency evacuation in US history. The Rita evacuation underscored the importance of planning for domestic mass-evacuation events, as the evacuation itself led to over 100 of the at least 119 deaths attributed to the storm. In the days preceding Rita's landfall, several cascading, interrelated circumstances precipitated such adverse outcomes. This article explores the series of events leading up to the evacuation's poor outcomes, the response following Rita to amend evacuation plans, and how Texas successfully implemented these changes during later storms to achieve better outcomes. (Disaster Med Public Health Preparedness. 2018;12:115-120).

Objective: We evaluated the usefulness and accuracy of media-reported data for active disaster-related mortality surveillance., Methods: From October 29 through November 5, 2012, epidemiologists from the Centers for Disease Control and Prevention (CDC) tracked online media reports for Hurricane Sandy-related deaths by use of a keyword search. To evaluate the media-reported data, vital statistics records of Sandy-related deaths were compared to corresponding media-reported deaths and assessed for percentage match. Sensitivity, positive predictive value (PPV), and timeliness of the media reports for detecting Sandy-related deaths were calculated., Results: Ninety-nine media-reported deaths were identified and compared with the 90 vital statistics death records sent to the CDC by New York City (NYC) and the 5 states that agreed to participate in this study. Seventy-five (76%) of the media reports matched with vital statistics records. Only NYC was able to actively track Sandy-related deaths during the event. Moderate sensitivity (83%) and PPV (83%) were calculated for the matching media-reported deaths for NYC., Conclusions: During Hurricane Sandy, the media-reported information was moderately sensitive, and percentage match with vital statistics records was also moderate. The results indicate that online media-reported deaths can be useful as a supplemental source of information for situational awareness and immediate public health decision-making during the initial response stage of a disaster. (Disaster Med Public Health Preparedness. 2017;11:460-466).

Objectives: To describe changes in mortality after Hurricane Sandy made landfall in New Jersey on October 29, 2012., Methods: We used electronic death records to describe changes in all-cause and cause-specific mortality overall, in persons aged 76 years or older, and by 3 Sandy impact levels for the month and quarter following Hurricane Sandy compared with the same periods in earlier years adjusted for trends., Results: All-cause mortality increased 6% (95% confidence interval [CI] = 2%, 11%) for the month, 5%, 8%, and 12% by increasing Sandy impact level; and 7% (95% CI = 5%, 10%) for the quarter, 5%, 8%, and 15% by increasing Sandy impact level. In elderly persons, all-cause mortality rates increased 10% (95% CI = 5%, 15%) and 13% (95% CI = 10%, 16%) in the month and quarter, respectively. Deaths that were cardiovascular disease-related increased by 6% in both periods, noninfectious respiratory disease-related by 24% in the quarter, infection-related by 20% in the quarter, and unintentional injury-related by 23% in the month., Conclusions: Mortality increased, heterogeneous by cause, for both periods after Hurricane Sandy, particularly in communities more severely affected and in the elderly, who may benefit from supportive services.

Objectives: Hurricanes cause substantial mortality, especially in developing nations, and climate science predicts that powerful hurricanes will increase in frequency during the coming decades. This study examined the association of wind speed and national economic conditions with mortality in a large sample of hurricane events in small countries., Methods: Economic, meteorological, and fatality data for 149 hurricane events in 16 nations between 1958 and 2011 were analyzed. Mortality rate was modeled with negative binomial regression implemented by generalized estimating equations to account for variable population exposure, sequence of storm events, exposure of multiple islands to the same storm, and nonlinear associations., Results: Low-amplitude storms caused little mortality regardless of economic status. Among high-amplitude storms (Saffir-Simpson category 4 or 5), expected mortality rate was 0.72 deaths per 100,000 people (95% confidence interval [CI]: 0.16-1.28) for nations in the highest tertile of per capita gross domestic product (GDP) compared with 25.93 deaths per 100,000 people (95% CI: 13.30-38.55) for nations with low per capita GDP., Conclusions: Lower per capita GDP and higher wind speeds were associated with greater mortality rates in small countries. Excessive fatalities occurred when powerful storms struck resource-poor nations. Predictions of increasing storm amplitude over time suggest increasing disparity between death rates unless steps are taken to modify the risk profiles of poor nations. (Disaster Med Public Health Preparedness. 2016;10:832-837).

Objective: This project aimed to describe demographic patterns and circumstances surrounding injury deaths in New York City (NYC) related to Hurricane Sandy., Methods: Injury deaths related to Hurricane Sandy were classified by using data from multiple sources: NYC's Office of Vital Statistics death records, Office of Chief Medical Examiner case investigation files, and American Red Cross disaster mortality data. Injury deaths were classified as being related to Hurricane Sandy if they were caused directly by the storm's environmental forces or if they were indirectly caused by an interruption of services, displacement, or other lifestyle disruption., Results: We identified 52 injury deaths in NYC related to Hurricane Sandy. Most decedents were male (75%); nearly half were aged 65 years and older (48%). Most (77%) deaths were caused by injuries directly related to Hurricane Sandy. Ninety percent of direct deaths were caused by drowning; most (73%) occurred within 3 days of landfall. Half (50%) of the 12 indirect deaths that occurred up to 30 days after the storm were caused by a fall. Nearly two-thirds (63%) were injured at home. Three-quarters (75%) of fatal injuries occurred in evacuation Zone A., Conclusions: Risk communication should focus on older adults, males, and those living in evacuation zones; more evacuation assistance is necessary. NYC's fatal injury profile can inform future coastal storm planning efforts. (Disaster Med Public Health Preparedness. 2016;10:378-385).

Objective: From November 24 to December 10, 2013, the Chinese People's Liberation Army Navy [PLA(N)] hospital ship Peace Ark was deployed to the Leyte Gulf in the Philippines to provide humanitarian medical relief in Tacloban after Typhoon Haiyan. The purpose of this study was to assess the radiological services aboard the ship to provide guidance for future missions., Methods: A retrospective review was performed on a cohort of 109 patients who underwent digital radiography (DR) and 59 patients who underwent computed tomography (CT) scans during a 16-day period during a humanitarian medical relief mission to the Philippines. Patient demographics, DR findings, and CT findings were analyzed., Results: The mean age of the 109 DR patients was 39.7 years for the 64 males and 43.7 years for the 45 females. A total of 148 DR examinations were performed of the chest (n=109), extremities (n=35), and spine (n=4). The mean age of the 59 CT patients was 43.8 years for the 32 males and 49.1 years for the 27 females. A total of 72 CT scans were performed of the head and neck (n=36), thorax (n=24), abdomen (n=5), spine (n=4), and extremities (n=3). The imaging findings mainly included disaster-related and non-disaster-related fractures, pulmonary tuberculosis, pulmonary infection, acute brain infarction, intracranial hematoma, and occupying lesions., Conclusion: Analysis of radiological services during a humanitarian medical relief mission to the Philippines provided meaningful information for future humanitarian medical relief missions.

Objective: The mainstay of India's disaster management policy until the early 2000s had been relief and rescue operations. The Odisha Super Cyclone (1999) with 10,000 deaths and US $3 billion economic damage provided a rude awakening. Recognizing the importance of preemptive preparedness, the government initiated systematic steps to implement a national framework interlinking economic, environmental, and overall developmental issues for efficient response to and mitigation of disasters., Methods: We attempted a critical analysis of this paradigm shift in India's disaster management policy through the prism of 2 cyclones, 14 years apart in time., Results: With improved preparedness and response measures, the death toll in 2013 Cyclone Phailin was 0.5% and the economic loss was about one-third of that during 1999. Concomitant improvements in the technological expertise of the early warning system, an integrated approach at all levels of administration including joint planning with major nongovernmental organizations, and improved community participation were identified as game-changers. An unbelievable 1 million people were evacuated to safety., Conclusions: Our essay aims to highlight key steps in this success and calls for futuristic approaches like insurance programs and gender-sensitive recovery plans. With thorough scrutiny, India's model may well stand to be replicated in resource-restricted settings.

Background: After Super Typhoon Haiyan, a category 5 tropical cyclone, insufficient resources were available for medical management. Many patients in the Philippines were wounded as a result of the disaster. We examined the prevalence, risk factors, and consequences of disaster-related wounds and wound infection in the post-disaster period., Methods: We performed a retrospective review of consecutive patients admitted to a Korean Disaster Relief Team clinic at St. Paul's Hospital, Tacloban City, Republic of Philippines, between December 9 and 13, 2013. Traumatic injury patients were included; patients not exhibiting a wound were excluded., Results: Of the 160 patients enrolled in the study, 71 (44.4%) had infected wounds. There were no significant differences in the age, sex, past medical history, wound site, wound depth, injury mechanism, or inducer of injury between the uninfected and infected groups. In the univariate analysis, a foreign-body-contaminated wound, a chronic wound, elapsed time from injury to medical contact, an inadequately cared for wound, and need for subsequent wound management were associated with wound infection (P<0.05). The multivariate analysis revealed that foreign body contamination and having an inadequately cared for wound were associated with wound infection (odds ratio [OR]: 10.12, 95% confidence interval [CI]: 3.59-28.56; OR: 3.51, 95% CI: 1.07-11.51, respectively)., Conclusion: In the post-disaster situation, many wound infections required definitive care. Wound infection was associated with inadequately cared for wounds and foreign-body-contaminated wounds.