Hurricane Maria caused catastrophic damage in Puerto Rico, increasing the risk for morbidity and mortality in the post-impact period. We aimed to establish a syndromic surveillance system to describe the number and type of visits at 2 emergency health-care settings in the same hospital system in Ponce, Puerto Rico.

We implemented a hurricane surveillance system by interviewing patients with a short questionnaire about the reason for visit at a hospital emergency department and associated urgent care clinic in the 6 mo after Hurricane Maria. We then evaluated the system by comparing findings with data from the electronic medical record (EMR) system for the same time period.

The hurricane surveillance system captured information from 5116 participants across the 2 sites, representing 17% of all visits captured in the EMR for the same period. Most visits were associated with acute illness/symptoms (79%), followed by injury (11%). The hurricane surveillance and EMR data were similar, proportionally, by sex, age, and visit category.

The hurricane surveillance system provided timely and representative data about the number and type of visits at 2 sites. This system, or an adapted version using available electronic data, should be considered in future disaster settings.

Hurricanes can interrupt communication, exacerbate attrition, and disrupt participant engagement in research. We used text messaging and disaster preparedness protocols to re-establish communication, re-engage participants, and ensure retention in a human immunodeficiency virus (HIV) self-test study.

Participants were given HIV home test kits to test themselves and/or their non-monogamous sexual partners before intercourse. A daily text message-based short message service computer-assisted self-interview (SMS-CASI) tool reminded them to report 3 variables: (1) anal sex without a condom, (2) knowledge of partners’ testing history, and (3) proof of partners’ testing history. A disaster preparedness protocol was put in place for hurricanes in Puerto Rico. We analyzed 6315 messages from participants (N = 12) active at the time of Hurricanes Irma and Maria. Disaster preparedness narratives were assessed.

All participants were able to communicate sexual behavior and HIV testing via SMS-CASI within 30 days following María. Some participants (n = 5, 42%) also communicated questions. Re-engagement within 30 days after the hurricane was 100% (second week/89%, third week/100%). Participant re-engagement ranged from 0–16 days (average = 6.4 days). Retention was 100%.

Daily SMS-CASI and disaster preparedness protocols helped participant engagement and communication after 2 hurricanes. SMS-CASI responses indicated high participant re-engagement, retention, and well-being.

The hazardous environmental conditions hurricanes create might increase injury incidence almost 7 times. Therefore, a cohort study was performed at the Puerto Rico Trauma Hospital to compare morbidity and mortality patterns of patients after Hurricane Maria with a control period.

Admissions from September 20, 2017, through January 20, 2018, constituted the post-Maria period (473 patients); the corresponding months of the previous year comprised the pre-Maria period (439 patients). Comparisons were done using Pearson’s chi-square or Mann-Whitney U-tests, as appropriate. A logistic regression was performed to assess the association between mortality and the study period.

Postlandfall admissions among patients aged 40-64 y increased by 6.6%, while among subjects between ages 18 and 39 y dropped by 7.0% (P = 0.03). Falls, gunshots, and burns were the injury mechanisms that varied the most across the exposure period. The median Injury Severity Score (13 vs 12; P = 0.05) and the frequency of Glasgow Coma Scale scores ≤8 (17.1% vs 10.9%; P = 0.03) were higher among poststorm patients. Moreover, a 2-fold (odds ratio = 1.93; 95% CI: 1.07-3.47) increase in mortality was observed after Maria, when adjusting for covariates.

Following a hurricane, trauma centers might expect an older population, with more severe injuries and a 2-fold increased mortality risk.

This brief report examines the shift from in-person care to US Department of Veterans Affairs (VA) telehealth services during 3 devastating hurricanes in 2017 (Harvey, Irma, and Maria).

VA administrative data were used to analyze the number and percentage of telehealth services 30 d pre- and 30 d post- the 2017 hurricanes for 3 hurricane-impacted VA medical centers (VAMCs): Houston (Texas), Orlando (Florida), and San Juan (Puerto Rico).

All 3 VAMCs remained open during the hurricanes. For the Houston VAMC, during the first week post-Harvey, in-person patient visits decreased while telehealth visits increased substantially. Similarly, for the Orlando VAMC, during the 1-wk post-Irma, telehealth use increased substantially. For the San Juan VAMC, there were many interruptions in the use of telehealth due to many power outages, resulting in a modest increase in the use of telehealth post-Irma/Maria. The most commonly used telehealth services at Houston and Orlando VAMCs during the hurricanes were: primary care, triage, mental health, and home health.

Telehealth has the potential to improve post-disaster access to and coordination of care. However, more information is needed to better understand how telehealth services can be used as a post-disaster health-care delivery tool, particularly for patients receiving care outside of systems such as VA.

This study examined the differential impact of Hurricane Harvey on adolescent standardized Body Mass Index (zBMI), physical activity, diet, and perceived stress.

Prior to Hurricane Harvey, 175 ethnic minority adolescents were recruited from an independent school district in Houston. Height and weight were directly measured. The School Physical Activity and Nutrition Questionnaire assessed diet and physical activity. Stress was assessed with the Perceived Stress Scale. High hurricane impact was classified as at least 1 affirmative response to house damage, rescue, displacement, or going without food, water, or medicine. Repeated measures such as ANCOVA models were developed to assess differences in zBMI, physical activity, diet, and stress between the hurricane impact groups. Regression models were used to assess stress as a mediator of the hurricane impact and zBMI change relationship.

Students who were highly impacted by the hurricane had a greater decrease in zBMI than those less impacted from pre-hurricane to 15 weeks post-hurricane (95% CI 0.02 to 0.25, p<0.05). Physical activity and diet did not differ by impact. Perceived stress at 3 weeks post-hurricane mediated the impact and zBMI change relationship (β=-0.04 95% CI -0.12 to -0.002).

The decrease in zBMI among highly impacted students warrants further monitoring. Perceived stress, immediately following the hurricane, impacted student growth months later.

How people behave in a crisis depends on their understanding and evaluation of risk and vulnerability. Therefore, this study was conducted to investigate the Iranians’ risk perception of coronavirus disease (COVID-19).

An online survey was applied, which resulted in the collection of information on demographics, the 5 dimensions of risk perception (cognitive, political, social, cultural, and emotional), and trust in the government among the Iranian users of social networks. Data were analyzed by descriptive and analytical tests of SPSS (IBM Corp, Armonk, NY) software, and confirmatory factor analysis of Amos software.

A total of 364 persons from 20 provinces completed the questionnaire during February 25 to March 2, 2020. More than 80% of the participants believed that negligence and lack of close supervision of the authorities have led to the spread of COVID-19. The mean (SD) risk perception was 58.77 (± 10.11), indicating the medium level of risk perception of people. The second-order confirmatory factor analysis also indicated that cultural dimension had the highest positive correlation (0.96), emotional dimension had the highest negative correlation (-0.65), and social dimension had the least correlation with the risk perception model (0.08).

Iranians’ risk perception of the COVID-19 outbreak is not optimal, and it seems necessary to improve it.

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.

When Hurricane Harvey struck the coastline of Texas in 2017, it caused 88 fatalities and over US $125 billion in damage, along with increased emergency department visits in Houston and in cities receiving hurricane evacuees, such as the Dallas-Fort Worth metroplex (DFW).

This study explored demographic indicators of vulnerability for patients from the Hurricane Harvey impact area who sought medical care in Houston and in DFW. The objectives were to characterize the vulnerability of affected populations presenting locally, as well as those presenting away from home, and to determine whether more vulnerable communities were more likely to seek medical care locally or elsewhere.

We used syndromic surveillance data alongside the Centers for Disease Control and Prevention Social Vulnerability Index to calculate the percentage of patients seeking care locally by zip code tabulation area. We used this variable to fit a spatial lag regression model, controlling for population density and flood extent.

Communities with more patients presenting for medical care locally were significantly clustered and tended to have greater socioeconomic vulnerability, lower household composition vulnerability, and more extensive flooding.

These findings suggest that populations remaining in place during a natural disaster event may have needs related to income, education, and employment, while evacuees may have more needs related to age, disability, and single-parent household status.

This 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.

Respiratory disease vaccines may affect coronavirus disease 2019 (COVID-19) - associated infection and mortality rates due to vaccine nonspecific effects against viral infections. We compared the infection and mortality rates in relation to COVID-19 between countries with and without universal respiratory disease vaccine policies.

In this ecological study, 186 countries with COVID-19 statistics from the World Health Organization (WHO) were included.

The study found that countries with universal BCG (bacillus Calmette Guérin) vaccine had significantly lower total infection and mortality rates, 0.2979 and 0.0077 versus 3.7445, and 0.0957/1000 people and confirmed cases (P < 0.001). The countries with universal pneumococcal vaccine (PCV), including PCV1, PCV2, and PCV3 vaccines, had significantly higher total mortality, 0.0111 versus 0.0080, respectively (P = 0.032). Higher income was associated with increasing total infection and mortality rates. Whereas, BCG vaccination was associated with a lower total mortality rate only (P = 0.030). The high-income countries were more likely to not receive universal BCG and receive second dose of meningococcal conjugate vaccine (MCV2) and third dose of PCV3 vaccination coverage. The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection rates increased with increasing years of the second dose of measles-containing vaccine (P = 0.026) and pneumococcal conjugate third dose (PCV3).

This study suggests that BCG vaccination could reduce the infection caused by COVID-19, and MCV2 vaccine years increases the total infection rate. This study identified high economic characteristics and not having universal BCG coverage as the independent risk factors of mortality by multivariate analysis.

To determine if solar-powered battery systems could be successfully used for electricity-dependent medical devices by families during a power outage.

We assessed the use of and satisfaction with solar-powered battery systems distributed to 15 families following Hurricane Maria in rural Puerto Rico. Interviews were conducted in July 2018, 3 mo following distribution of the systems.

The solar-powered battery systems powered refrigeration for medications and prescribed diets, asthma therapy, inflatable mattresses to prevent bedsores, and continuous positive airway pressure machines for sleep apnea. Despite some system problems, such as inadequate power, defective cables, and blown fuses, families successfully dealt with these issues with some outside help. Almost all families were pleased with the systems and a majority would recommend solar-powered battery systems to a neighbor.

Families accepted and successfully used solar-powered battery systems to power medical devices. Solar-powered battery systems should be considered as alternatives to generators for power outages after hurricanes and other disasters. Additional research and analysis are needed to inform policy on increasing access to such systems.

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.

This case study documents Harris County hospitals’ flood preparedness and mitigation efforts before Hurricane Harvey, their collective response experience during Hurricane Harvey, and their lessons learned in the storm’s aftermath.

The case study was constructed using a survey of hospital emergency managers, semi-structured interviews with local agencies involved in public health, emergency management, and health care, and an analysis of news reports and other documents from a variety of government agencies, local organizations, and hospitals themselves.

Harris County hospitals learned their most valuable lessons through their direct and repeated experience with flooding over the years, leading to improved preparedness before Hurricane Harvey. Hospital emergency response successes included infrastructure improvements, staff resilience, advanced planning, and pre-established collaboration. However, hospitals still experienced challenges with staff burnout, roadway flooding, and patient evacuation.

Although the current state of hospital flood preparedness and mitigation is rather advanced and mature, it is advisable that Harris County takes steps to strengthen emergency management efforts in hospitals with fewer financial and staffing resources and less direct flood experience.

Response to the unprecedented coronavirus disease 2019 (COVID-19) outbreak needs to be augmented in Texas, United States, where the first 5 cases were reported on March 6, 2020, and were rapidly followed by an exponential rise within the next few weeks. This study aimed to determine the ongoing trend and upcoming infection status of COVID-19 in county levels of Texas.

Data were extracted from the following sources: published literature, surveillance, unpublished reports, and websites of Texas Department of State Health Services (DSHS), Natality report of Texas, and WHO Coronavirus Disease (COVID-19) Dashboard. The 4-compartment Susceptible-Exposed-Infectious-Removal (SEIR) mathematical model was used to estimate the current trend and future prediction of basic reproduction number and infection cases in Texas. Because the basic reproduction number is not sufficient to predict the outbreak, we applied the Continuous-Time Markov Chain (CTMC) model to calculate the probability of the COVID-19 outbreak.

The estimated mean basic reproduction number of COVID-19 in Texas is predicted to be 2.65 by January 31, 2021. Our model indicated that the third wave might occur at the beginning of May 2021, which will peak at the end of June 2021. This prediction may come true if the current spreading situation/level persists, i.e., no clinically effective vaccine is available, or this vaccination program fails for some reason in this area.

Our analysis indicates an alarming ongoing and upcoming infection rate of COVID-19 at county levels in Texas, thereby emphasizing the promotion of more coordinated and disciplined actions by policy-makers and the population to contain its devastating impact.