Using validated psychological assessment instruments, this study examined the psychological distress associated with potential language barriers experienced by over 135 000 Puerto Rican residents who either temporarily or permanently migrated to the continental United States with the landfall of Hurricane Maria in 2017.

Participants were Puerto Rican residents (n = 107) who remained in Puerto Rico (control) or left the island for at least 3 months because of Hurricane Maria (migrants). Participants completed an online survey in their preferred language (Spanish or English), which assessed self-reported English language proficiency, Kessler Psychological Distress Scale (K6), Posttraumatic Stress Disorder Checklist for DSM 5, Patient Health Questionnaire 9-item depression scale, and the Generalized Anxiety Disorder 7-item scale. It was hypothesized that migrants with lower self-reported English proficiency would have comparatively higher indices of post-disaster distress than those with a higher proficiency.

Dividing the migrant group by preferred language for questionnaire completion, the Fisher’s exact test showed significant differences in prevalence of severe mental distress, as defined by K6 scores above 13, between the Spanish-preferring migrants (30.4%), English-preferring migrants (0%), and controls (9.6%).

Our results support a possible correlation between decreased language proficiency in post-disaster migrants and a higher risk factor for severe mental distress.

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.

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.

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.

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.

Typhoon Haiyan partially destroyed the Ormoc District Hospital in the Philippines. A field hospital was established to replace its outpatient department for 5 weeks. We investigated the reasons for medical consultation in the field hospital.

We described the consultations by sex, age, week, and diagnosis according to the Surveillance in Post-Extreme Emergencies and Disasters system. We compared the number and proportion of upper respiratory tract infections (URTIs) with a control season in 2014.

We included 6785 consultations, 55.9% from women. The majority of consultations were communicable diseases (88.2%) followed by noncommunicable (7.1%) and injuries (5.6%). Males suffered more often from injuries than women (66.0% vs 34.0%). Consultations due to injuries decreased from 10.0% in the first to 2.9% in the last week. The most frequent diagnosis over the study period was acute respiratory infections (ARIs) (73.1%), of which 83.0% were children. The number of daily URTIs was higher than in a similar 2014 period.

ARI was the most prevalent diagnosis. We recommend ARI treatments being fully accessible after such a disaster. During the first week, injury prevention should focus on adult men. Studies after natural disasters should include control periods to better understand disease distribution, ultimately improving the prioritization in disasters.

Syndromic surveillance has been useful for routine surveillance on a variety of health outcomes and for informing situational awareness during public health emergencies. Following the landfall of Hurricane Maria in 2017, the New York City (NYC) Department of Health and Mental Hygiene (DOHMH) implemented an enhanced syndromic surveillance system to characterize related emergency department (ED) visits.

ED visits with any mention of specific key words (“Puerto,” “Rico,” “hurricane,” “Maria”) in the ED chief complaint or Puerto Rico patient home Zip Code were identified from the DOHMH syndromic surveillance system in the 8-week window leading up to and following landfall. Visit volume comparisons pre- and post-Hurricane Maria were performed using Fisher’s exact test.

Analyses identified an overall increase in NYC ED utilization relating to Puerto Rico following Hurricane Maria landfall. In particular, there was a small but significant increase in visits involving a medication refill or essential medical equipment. Visits for other outcomes, such as mental illness, also increased, but the differences were not statistically significant.

Gaining this situational awareness of medical service use was informative following Hurricane Maria, and, following any natural disaster, the same surveillance methods could be easily established to aid an effective emergency response.

Hurricane Harvey left a path of destruction in its wake, resulting in over 100 deaths and damaging critical infrastructure. During a disaster, public health surveillance is necessary to track emerging illnesses and injuries, identify at-risk populations, and assess the effectiveness of response efforts. The Centers for Disease Control and Prevention (CDC) and American Red Cross collaborate on shelter surveillance to monitor the health of the sheltered population and help guide response efforts.

We analyzed data collected from 24 Red Cross shelters between August 25, 2017, and September 14, 2017. We described the aggregate morbidity data collected during Harvey compared with previous hurricanes (Gustav, Ike, and Sandy).

Over one-third (38%) of reasons for visit were for health care maintenance; 33% for acute illnesses, which includes respiratory conditions, gastrointestinal symptoms, and pain; 19% for exacerbation of chronic disease; 7% for mental health; and 4% for injury. The Red Cross treated 41% of clients within the shelters; however, reporting of disposition was often missed. These results are comparable to previous hurricanes.

The capacity of Red Cross shelter staff to address the acute health needs of shelter residents is a critical resource for local public health agencies overwhelmed by the disaster. However, there remains room for improvement because reporting remained inconsistent.

To determine the extent of service disruption among home health agencies impacted by Hurricane Harvey.

Structured interviews with optional open-ended questions were conducted with home health agencies in and around Houston, Texas. A random sample of 277 agencies was selected and contacted via telephone during the study period, from February to May of 2018.

Only 45% of 122 participating agencies indicated that their offices were open during Hurricane Harvey, and three-fourths reported that home visits were disrupted. The length of disruption varied: 7% reported a disruption of 1 day or less and 46% indicated a disruption of 1 week or longer. Disruption occurred even though nearly all (99%) of the agencies had—and close to all (92%) of them activated—an emergency preparedness plan.

Although most of the participating home health agencies activated their emergency preparedness plan, significant disruption in home health services occurred. While agencies are required to have clear, detailed plans in place, gaps in effective implementation of emergency preparedness plans remain.

The aim of this study was to describe individuals seeking care for injury at a major emergency department (ED) in southern Puerto Rico in the months after Hurricane Maria on September 20, 2017.

After informed consent, we used a modified version of the Natural Disaster Morbidity Surveillance Form to determine why patients were visiting the ED during October 16, 2017–March 28, 2018. We analyzed visits where injury was reported as the primary reason for visit and whether it was hurricane-related.

Among 5 116 patients, 573 (11%) reported injury as the primary reason for a visit. Of these, 10% were hurricane-related visits. The most common types of injuries were abrasions, lacerations, and cuts (43% of all injury visits and 50% of hurricane-related visits). The most common mechanisms of injury were falls, slips, trips (268, 47%), and being hit by/or against an object (88, 15%). Most injury visits occurred during the first 3 months after the hurricane.

Surveillance after Hurricane Maria identified injury as the reason for a visit for about 1 in 10 patients visiting the ED, providing evidence on the patterns of injuries in the months following a hurricane. Public health and emergency providers can use this information to anticipate health care needs after a disaster.

This study empirically examines preparedness with a kit, medication, and a disaster plan on disaster outcomes including perceived recovery, property damage, and use of medical or mental health services.

Using a cross-sectional, retrospective study design, 1114 households in New York City were interviewed 21-34 months following Super Storm Sandy. Bivariate associations were examined and logistic regression models fit to predict the odds of disaster outcomes given the level of preparedness.

Respondents with an evacuation plan were more likely to report not being recovered (odds ratio [OR] = 2.4; 95% confidence interval [CI]: 1.5-3.8), property damage (OR = 1.4; 95% CI: 1.1-1.9), and use of medical services (OR = 2.3; 95% CI: 1.1-4.5). Respondents reporting a supply of prescription medication were more likely to report using mental health (OR = 3.5; 95% CI: 1.2-9.8) and medical services (OR = 2.3; 95% CI: 1.1-4.8)

Having a kit, plan, and medication did not reduce risk of adverse outcomes in Superstorm Sandy in this sample. Disaster managers should consider the lack of evidence for preparedness when making public education and resource allocation decisions. Additional research is needed to identify preparedness measures that lead to better outcomes for more efficient and effective response and recovery.

Survivors of natural disasters are at risk for mental health sequela, including deficits in neurocognitive functioning. This study explores links between hurricane exposure and resulting psychiatric symptoms and deficits in cognitive processing, attention, learning, and memory.

Relocated Katrina survivors and demographically matched controls completed neurocognitive tests assessing processing speed (Trail Making Test, Part A), mental flexibility (Trail Making Test, Part B), sustained attention (Conner’s Continuous Performance Test), and learning and memory (Rey Auditory-Verbal Learning Test). PTSD (Clinician-Administered PTSD Scale) and depressive symptoms (BDI- II) were also measured.

Survivors had more PTSD and depression symptoms and weaker performance in cognitive processing, mental flexibility, and sustained attention, but not memory and learning compared to controls. When controlling for depression and PTSD symptoms (analysis of covariances), only CPT-II response time remained significantly different for survivors, so that sustained attention deficits were independent of emotional symptoms.

Survivors had more psychiatric symptoms and neurocognitive dysfunctions than controls in most assessed measures. Our study had mixed results in identifying cognitive deficits related to psychopathology. Results suggest that disaster survivors, even those without psychopathology, should be assessed for cognitive issues that may affect their ability to process post-disaster instructions and access assistance in recovery efforts.

The aim of this study was to analyze pharmacy functionality, or the volume of operational pharmacies, among areas in North Carolina and South Carolina affected by Hurricane Florence.

Using geographic information system software and data from the Federal Emergency Management Agency and Healthcare Ready, we computed, mapped, and analyzed pharmacy functionality measures for the period of September 12, 2018, through September 20, 2018, among counties in North Carolina and South Carolina to examine health-care–related disaster readiness for and response to Hurricane Florence.

In the Hurricane Florence-impacted region, counties located along the coast had the most suboptimal pharmacy functionality, whereas counties located more centrally within North Carolina and South Carolina had more optimal pharmacy functionality throughout the disaster. Generally, functionality was high at Hurricane Florence’s landfall on September 14, 2018, for which operating pharmacy capacity was reported at 85% in North Carolina and 88% in South Carolina. Both states had the lowest functionality on September 16, 2018, at 71% for North Carolina and 62% for South Carolina.

During the Hurricane Florence event, suboptimal pharmacy functionality was detected for coastal areas and during the disaster response period. Hurricane readiness plans and infrastructure strengthening should be emphasized for community pharmacies in hurricane-prone areas.

Hurricane Harvey made landfall on August 25, 2017 and resulted in widespread flooding in Houston and the surrounding areas. This study aimed to explore the associations between exposure to Hurricane Harvey and various mental health symptoms.

Self-reported demographics, hurricane exposure, and mental health symptomatology were obtained from residents of the greater Houston area through convenience sampling for a pilot study, 5 months after the storm from January 25-29, 2018 (N = 161).

Increased hurricane exposure score was significantly associated with increased odds for probable depression, probable anxiety, and probable posttraumatic stress disorder after adjusting for other factors associated with mental health. No significant associations were found between demographic characteristics and risk of mental health difficulties.

Mental health difficulties associated with exposure to Hurricane Harvey were still present 5 months after the storm. Future disaster response programs should focus on providing long-term mental health services to hurricane survivors.

When 2017 Hurricane Harvey struck the coastline of Texas on August 25, 2017, it resulted in 88 fatalities and more than US $125 billion in damage to infrastructure. The floods associated with the storm created a toxic mix of chemicals, sewage and other biohazards, and over 6 million cubic meters of garbage in Houston alone. The level of biohazard exposure and injuries from trauma among persons residing in affected areas was widespread and likely contributed to increases in emergency department (ED) visits in Houston and cities receiving hurricane evacuees. We investigated medical surge resulting from these evacuations in Dallas–Fort Worth (DFW) metroplex EDs.

We used data sourced from the North Texas Syndromic Surveillance Region 2/3 in ESSENCE to investigate ED visit surge following the storm in DFW hospitals because this area received evacuees from the 60 counties with disaster declarations due to the storm. We used the interrupted time series (ITS) analysis to estimate the magnitude and duration of the ED surge. ITS was applied to all ED visits in DFW and visits made by patients residing in any of the 60 counties with disaster declarations due to the storm. The DFW metropolitan statistical area included 55 hospitals. Time series analyses examined data from March 1, 2017–January 6, 2018 with focus on the storm impact period, August 14–September 15, 2017. Data from before, during, and after the storm were visualized spatially and temporally to characterize magnitude, duration, and spatial variation of medical surge attributable to Hurricane Harvey.

During the study period overall, ED visits in the DFW area rose immediately by about 11% (95% CI: 9%, 13%), amounting to ~16 500 excess total visits before returning to the baseline on September 21, 2017. Visits by patients identified as residing in disaster declaration counties to DFW hospitals rose immediately by 127% (95% CI: 125%, 129%), amounting to 654 excess visits by September 29, 2017, when visits returned to the baseline. A spatial analysis revealed that evacuated patients were strongly clustered (Moran’s I = 0.35, P < 0.0001) among 5 of the counties with disaster declarations in the 11-day window during the storm surge.

The observed increase in ED visits in DFW due to Hurricane Harvey and ensuing evacuation was significant. Anticipating medical surge following large-scale hurricanes is critical for community preparedness planning. Coordinated planning across stakeholders is necessary to safeguard the population and for a skillful response to medical surge needs. Plans that address hurricane response, in particular, should have contingencies for support beyond the expected disaster areas.