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.

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.

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.

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.

Ideally, mosquito control programs (MCPs) use surveillance to target control measures to potentially dangerous mosquito populations. In North Carolina (NC), where there is limited financial support for mosquito control, communities may suffer from mosquito-related issues post-hurricane due to lack of existing MCPs. Here, study objectives were to (1) investigate the emergency response of a subset of NC counties post-Hurricane Florence and (2) develop guidelines and policy recommendations to assist MCPs in post-hurricane mosquito control response.

A survey was administered to a subset of eastern NC counties (an area previously impacted by hurricanes) with various levels of MCPs (from none to well-developed).

All respondents indicated that having Federal Emergency Management Agency (FEMA) training would be helpful in developing a post-hurricane emergency response plan for mosquito control. There was concern related to a lack of knowledge of emergency control methods (eg, aerial/ground, adulticiding/larviciding) post-hurricane. MCP structure (eg, infrastructure, resources, operational plans/policies) could facilitate response activities and help ensure necessary emergency financial support from agencies such as FEMA.

Mosquito control post-hurricane protects public health. Public health and other agencies can be networking resources for MCPs. Policy recommendations include implementation of routine FEMA assistance training workshops to improve an understanding of processes involved in assistance and reimbursement.

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.

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.

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.

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.

The objective of this study was to assess recovery of Aransas County, Texas households 2 years after Category 4 Hurricane Harvey made landfall.

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).

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.

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.

In times of repeated disaster events, including natural disasters and pandemics, public health workers must recover rapidly to respond to subsequent events. Understanding predictors of time to recovery and developing predictive models of time to recovery can aid planning and management.

We examined 681 public health workers (21-72 y, M(standard deviation [SD]) = 48.25(10.15); 79% female) 1 mo before (T1) and 9 mo after (T2) the 2005 hurricane season. Demographics, trauma history, social support, time to recover from previous hurricane season, and predisaster work productivity were assessed at T1. T2 assessed previous disaster work, initial emotional response, and personal hurricane injury/damage. The primary outcome was time to recover from the most recent hurricane event.

Multivariate analyses found that less support (T1; odds ratio [OR] = .74[95% confidence interval [CI] = .60-.92]), longer previous recovery time (T1; OR = 5.22[95%CI = 3.01-9.08]), lower predisaster work productivity (T1; OR = 1.98[95%CI = 1.08-3.61]), disaster-related personal injury/damage (T2; OR = 3.08[95%CI = 1.70-5.58]), and initial emotional response (T2; OR = 1.71[95%CI = 1.34-2.19]) were associated with longer recovery time (T2).

Recovery time was adversely affected in disaster responders with a history of longer recovery time, personal injury/damage, lower work productivity following prior hurricanes, and initial emotional response, whereas responders with social support had shorter recovery time. Predictors of recovery time should be a focus for disaster preparedness planners.

With the advancement of technology, disaster preparedness related to hurricane hazards can be taught through an app. This study aimed to examine the effect of using an android-based disaster preparedness app on community knowledge and intentional behavior in hurricane risk areas.

A quasi-experimental study was conducted from October to November, 2020 and a total of 80 respondents were recruited using cluster sampling. The treatment group was given the intervention in the form of the disaster preparedness app for 2 weeks. Meanwhile, the control group received home visits and conventional education about hurricane disasters twice throughout the same period. We then used a Wilcoxon Signed Rank test to analyze the pre-test and post-test and a Mann-Whitney U test to compare between treatment and control groups.

After the implementation of the SiBen app, we found a statistically significant difference in knowledge between treatment and control groups (P < 0.003) and intentional behavior between treatment and control groups (P < 0.001).

The findings indicate that the disaster preparedness app was an effective educational program able to improve the knowledge and intentional behavior among community members in a hurricane risk area.

Thea aim of this study was to explore the relationship between Florida nursing home and assisted living facility characteristics and their ability to comply with a new emergency power rule in the aftermath of Hurricane Irma.

This study used characteristics data on Florida nursing homes (NHs) (N = 680) and assisted living facilities (ALFs) (N = 2940) in operation between September 2017 and January 2019. Logistic regressions were used to determine whether certain characteristics were associated with compliance with the emergency power rule by January 1, 2019.

A total of 219 (32.9%) NHs and 2219 (75.5%) ALFs had an emergency power plan implemented by January 1, 2019. Results suggest having a dementia care unit increased the odds of compliance for NHs, while chain membership, for-profit status, and a higher reliance on Medicaid decreased the odds. Additionally, smaller size, mental health specialty license, and higher reliance on supplemental state funding increased the odds of compliance for ALFs, while nursing care specialty license and for-profit status decreased the odds of compliance.

Policy implications from these results include informing policy-makers on the barriers faced by NHs and ALFs to implement a new regulation that may cause financial difficulties and compromise quality care.

Previous research suggests that people with asthma may experience a worsening of symptoms following hurricanes due to changes in environmental exposures, discontinuity in chronic disease management, and stress. The objective of this study was to estimate changes in asthma-related emergency department (ED) visits in North Carolina following Hurricane Irene, which made landfall in August 2011.

Changes in asthma-related ED visits in September to December of 2010 and 2011 were examined using data from the Healthcare Cost and Utilization Project State Emergency Department and Inpatient Databases. A Poisson generalized linear model was used to estimate the association between Federal Emergency Management Agency disaster declarations following Hurricane Irene and county-level asthma-related ED visits controlling for month, year, and county.

Following Hurricane Irene, disaster declarations were made for 38 of 100 counties in North Carolina. In September 2010, the rate of asthma-related ED visits for North Carolina was 6 per 10,000 person-months. In September 2011, rates of asthma-related ED visits were similar in counties with and without disaster declarations (7 and 5 per 10,000 person-months, respectively). When adjusting for covariates, there was little or no difference in the rate of asthma ED visits before and after the hurricane between counties with and without a disaster declaration (rate ratio {RR} [95% confidence interval {CI}] = 1.02[0.97, 1.08]).

Although risk factors for asthma exacerbations increase following hurricanes, these results found little evidence of an increase in asthma-related ED visits in North Carolina following Hurricane Irene.

The aim of this study was to describe the results of food environment assessments completed after Hurricane Florence in North Carolina (2018) and Hurricane María in Puerto Rico (2017), and provide recommendations for assessing disaster food environments.

Adapted structured observation protocols were used to conduct rapid assessments of the availability, price, and quality of specific foods in retail markets.

In both settings, unhealthful food items (soda, chips, fruit-flavored drinks) and milk were widely available and at lower prices than domestic averages. The adapted instrument in Puerto Rico allowed for documentation of greater availability of canned items compared with fresh or frozen foods. In both settings, researchers noted the inability of the instrument to document items that are important to assess postdisaster: ready-to-heat and ready-to-eat foods; food preparation facilities and supplies; hygiene supplies; and empty shelf-space.

The instruments, despite their limitations, were able to capture food availability issues in postdisaster environments. Future instrument adaptation is necessary to capture availability of all major food groups, healthful and unhealthful options, shelf-stable, ready-to-eat, and ready-to-heat foods versus other formats (fresh, frozen), and cooking and hygiene supplies.

Hurricane Sandy made landfall across New York City (NYC) in October 2012, but the long-term consequences of the storm are still not fully understood. We analyzed NYC data to quantify the extent of Hurricane Sandy-related concerns over time.

Data on NYC 311 Call Center inquiries were downloaded from the NYC Open Data website (October 29, 2012 to May 26, 2020) to provide information about Sandy-related calls using the keywords “Hurricane” and “Sandy”.

In the first 2 wk after Hurricane Sandy, 15.6% of 311 calls were related to the storm. From 2012 to 2020, the volume of inquiries decreased from 87,209 to 25. The majority of calls in 2012 (49,181; 56%) was requesting general Hurricane Sandy information, and in 2020 assistance with property restoration (20; 79%)

The long-term consequences of Hurricane Sandy in NYC persist into 2020, almost 8 y after the initial event. The needs of Hurricane Sandy victims have changed over time from requiring general information regarding closures, property destruction and immediate disaster relief to aid with legal, financial, and mental health consequences. Disaster response policy-makers must understand the changing needs of NYC residents to provide resources and prepare for future disasters.

On September 20, 2017, Hurricane Maria, a Category 4 hurricane, swept across Puerto Rico (PR), wreaking devastation to PR’s power, water, and health care infrastructure. To address the imminent humanitarian crisis, the US government mobilized Federal Medical Shelters (FMS) to serve the needs of hurricane victims. This study’s objective was to provide a description of the patients seeking emergency care at FMS and the changes in their needs over time.

This retrospective, cross-sectional study included all patients presenting to the FMS Manatí from October 6, two weeks after Hurricane Maria’s landfall, to November 2, 2017. Categories were created to catalogue the nature of new acute medical issues by patients presenting to the Shelter. Descriptive, graphical analyses were performed to assess changes to presenting complaints over time, and by age groups defined as infant (age ≤1 years), child (1 year < age ≤10 years), adolescent (10 years < age ≤ 25 years), and adult (age > 25 years).

Over the 30-day period, 5,268 patients were seen in the FMS seeking medical care (average 188.1 patients per day), spending less than five hours in the facility. The distribution of patients’ age was bimodal: the first peak at one year and the second at age 50. The most common patient complaint was infection (38.8%), then musculoskeletal (MSK) complaints (11.8%) and management of chronic medical conditions (11.8%). The proportion of patients presenting with chronic disease complaints declined over the course of the period of observation (21.4% on Day 4 to 8.0% on Day 30) while the proportion of patients presenting with infection increased (31.0% on Day 4 to 48.6% on Day 30). Infection complaints were highest in all age groups, but most in infxants (80.2%), while MSK and chronic disease complaints were highest in adults (14.9% and 14.9%, respectively).

Infection treatment and chronic disease management were important medical needs facing patients seeking care at FMS Manatí after Hurricane Maria. These findings suggest that basic needs related to sanitation and shelter remained important weeks after the hurricane, and a focus on access to medications, infection control, and injury prevention/management after a disaster needs to be prioritized during disaster response.

Hurricane evacuation is one of the strategies employed by emergency management and other agencies to reduce morbidity and mortality associated with hurricanes. However, factors associated with residents’ evacuation decision-making have been inconsistent. In this study, we conducted a statistical meta-analysis to identify factors associated with hurricane evacuation as well as moderators of the evacuation decision.

A systematic literature search identified 36 studies published between 1999 and 2018. Pooled estimates were calculated using random-effects models, and heterogeneity across studies was checked using both Q and I2 statistics. Meta-regression methods were used to identify moderators. Publication bias was assessed using both visual (funnel plots) and statistical methods.

Mobile home residence, perception of risk, female sex, and Hispanic ethnicity were statistically associated with hurricane evacuation, while geographic region modified the relationship between Hispanic race and evacuation.

Agencies responsible for preparedness may utilize these findings to identify specific population sub-groups for hurricane evacuation communication and other interventions. Future studies should consider statistical interactions and explore opportunities for research translation to emergency officials.

This study aimed to characterize ophthalmology consultations ordered after Hurricane Harvey compared to consultations ordered during the same time period of the prior year.

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.

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).

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.

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.

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%).

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).

Programs enhancing collective efficacy may be a significant part of prevention practices and promote preparedness efforts before disasters.

Hurricane Harvey (2017) forced the closure of hemodialysis centers across Harris County, Texas (USA) disrupting the provision of dialysis services. This study aims to estimate the percentage of hemodialysis clinics flooded after Harvey, to identify the proportion of such clinics located in high-risk flood zones, and to assess the sensitivity of the Federal Emergency Management Agency (FEMA) Flood Insurance Rate Maps (FIRMs) for estimation of flood risk.

Data on 124 hemodialysis clinics in Harris County were extracted from Medicare.gov and geocoded using ArcGIS Online. The FIRMs were overlaid to identify the flood zone designation of each hemodialysis clinic.

Twenty-one percent (26 of 124) of hemodialysis clinics in Harris County flooded after Harvey. Of the flooded clinics, 57.7% were in a high-risk flood zone, 30.8% were within 1km of a high-risk flood zone, and 11.5% were not in or near a high-risk flood zone. The FIRMs had a sensitivity of 58%, misidentifying 42% (11 of 26) of the clinics flooded.

Hurricanes are associated with severe disruptions of medical services, including hemodialysis. With one-quarter of Harris County in the 100-year floodplain, projected increases in the frequency and severity of disasters, and inadequate updates of flood zone designation maps, the implementation of new regulations that address the development of hemodialysis facilities in high-risk flood areas should be considered.

This article aims to: (1) describe the ‘Return to Open Pharmacy Operations’ in Puerto Rico following the hurricanes Irma and Maria in the 2017 hurricane season, and (2) compare the recovery rate (Return to Open Pharmacy Operations) during the 2017 hurricane season between the US Commonwealth of Puerto Rico and the state of Florida.

We performed a cross-sectional study of pharmacy operations in Puerto Rico utilizing Rx Open data for pharmacies in Puerto Rico during the 2017 hurricane season. To compare open rates of pharmacy operations over time in different contexts, we also analyzed Rx Open data for the state of Florida for Hurricane Irma.

Only 11.1% of pharmacies remained open in Puerto Rico 3 days after Hurricane Maria made landfall, and Puerto Rico pharmacy operations recovered slowly, at an average daily rate of 3.9% before reaching pre-landfall baseline operations. Puerto Rico pharmacy operations after Hurricane Maria recovered 10 times slower on average, compared to pharmacy operations in Florida after Hurricane Irma which reached baseline operations less than 1 week following Hurricane Irma’s landfall.

Our results demonstrate the unique severity of Hurricane Maria’s impacts on Puerto Rico’s health system.