The COVID-19 pandemic is a disaster event. Exposure to stressors during and after disaster events is associated with negative mental health symptoms. To inform targeted COVID-19 recovery efforts, data are needed to understand which stressors play a key role in this relationship.

Cross-sectional survey data (demographics, impacts of COVID-19, social determinants of health, depression, and anxiety) were collected online from adults living in New York state between May and June 2020. Differences in the proportion of stressors (COVID-19 and social determinants) experienced by race/ethnicity were assessed using chi-square analyses. Logistic regression was used to assess which factors were associated with increased odds of depression and anxiety.

A majority (n = 258, 62.2%) of the 415 respondents reported being directly impacted by the pandemic. Non-white respondents reported a significantly larger proportion of stressors compared to white respondents. Under half of respondents reported depression (n = 171, 41.2%) and anxiety (n = 164, 39.5%). Healthcare and food concerns were associated with increased odds of depression and anxiety, and economic concerns were associated with increased odds of anxiety.

Findings underscore the need to respond to the COVID-19 mental health crisis by addressing social determinants of health.

The Communication (C), Maintaining Health (M), Independence (I), Services, Support and Self-Determination (S), and Transportation (T) is a framework (C-MIST) for identifying functional needs in an emergency response. A C-MIST documentation tool provides shelter staff with a list of potential client needs and actions to address them. This retrospective review describes the needs and actions indicated on completed C-MIST documentation tools (ie, records) within domestic general population shelters following Hurricane Florence in 2018.

A convenience sample of 1209 records completed by shelter disaster health services personnel was provided by the American Red Cross. The records correspond to client stays in 19 shelters between September and October 2018. Data abstracted from hardcopy forms were de-identified and recorded in a database. Summary statistics were computed.

High incidence needs included medical supplies for everyday care (including medications) not related to mobility (15.4%), medically or culturally needed diets (12.2%), durable medical equipment (9.7%), mental health care (8.8%), and transportation (8.4%). High incidence actions included replacement medication (9.3%), refer to Disaster Mental Health Services (6.4%), provide assistive mobility equipment (5.1%), provide diabetes management supplies (5.0%), provide alternative food and beverages (4.1%), and provide transportation (3.9%).

The process for identifying health and functional support needs in shelters should be standardized through the use of the C-MIST framework.

Community-level social capital organizations are critical pre-existing resources that can be leveraged in a disaster.

The study aimed to test the hypothesis that communities with larger pre-disaster stocks of social capital organizations would maintain pre-disaster levels or experience growth.

An annual panel dataset of counties in the contiguous United States from 2000 to 2014 totaling 46620 county-years, including longitudinal data on disasters and social capital institutions was used to evaluate the effect of disaster on growth of social capital.

When a county experienced more months of disasters, social capital organizations increased a year later. These findings varied based on the baseline level of social capital organizations. For counties experiencing minor disaster impacts, growth in social capital organizations tends to occur in counties with more social capital organizations in 2000; this effect is a countervailing finding to that of major disasters, and effect sizes are larger.

Given the growing frequency of smaller-scale disasters and the considerable number of communities that experienced these disasters, the findings suggest that small scale events create the most common and potentially broadest impact opportunity for intervention to lessen disparities in organizational growth.

To quantify differences in preparedness for and adaptations to COVID-19 in a cohort sample of New York City residents.

A proportional quota sample (n = 1020) of individuals residing in New York City during the COVID-19 pandemic participated in a Qualtrics web survey. Quotas were set for age, sex, race, and income to mirror the population of New York City based on the 2018 American Community Survey.

Low self-efficacy, low social support, and low sense of community increased the odds of securing provisions to prepare for COVID-19. Being an essential worker, poor mental health, and having children in the household reduced the likelihood of engaging in preparedness practices. Essential workers and individuals with probable serious mental illness were less likely to report preparedness planning for the pandemic.

The findings contribute to evolving theories of preparedness. There are differences across the sample in preparedness types, and different kinds of preparedness are associated with different household characteristics. Findings suggest that public officials and others concerned with population wellbeing might productively turn attention to education and outreach activities indexed to these characteristics.

To compare food insecurity (FI) risk and food-related COVID-19 infection risk perceptions, practices, and problems (3P) in Washington (WA), New York (NY), and Louisiana (LA).

Data from the RAPID Multi-Wave Risk Perception Study was collected via online surveys between May 19 to July 14, 2020 (N = 1260). Multivariable - adjusted logistic and ordinal regressions were performed for odds of FI risk and 3P during these early months of the pandemic.

The determinants of FI risk in all states included income, age, and employment. Some determinants were state-specific: households with members at substantial risk for COVID-19 (WA and NY), ethnicity (NY), education, and relationship status (LA). The odds of FI risk were higher among those who perceived higher likelihood of COVID-19 infection via in-store shopping (OR = 1.34, 95% CI: 1.06, 1.70) and improperly cooked food (OR = 1.87, 95% CI: 1.46, 2.41). FI risk was associated with higher odds of problems related to food affordability (OR = 10.66, 95% CI: 7.87, 14.44), preference (OR = 2.51, 95% CI: 1.86, 3.39), sufficiency (OR = 2.63, 95% CI: 1.96, 3.54), food sources (OR = 7.68, 95% CI: 5.73, 10.31), food storage capacity (OR = 0.48, 95% CI: 0.36, 0.66), and knowing where to find help in obtaining food (OR= 7.68, 95% CI: 5.73, 10.31); most of which did not differ by state. No association was found between food insecurity risk and food-related practices.

Better food preparedness is needed to reduce FI risk during pandemics in specific groups in WA, NY, and LA. Specifically, food affordability, sufficiency, and storage, as well as sources, and increasing knowledge on food programs are limitations that need to be addressed for emergency situations.

The objective of this study is to assess the impact that natural disaster response has on local health departments’ (LHD) ability to continue to provide essential public health services.

A web-based survey was sent to all North Carolina Local Health Directors. The survey asked respondents to report on LHD functioning following Hurricanes Florence (2018) and Dorian (2019).

After Hurricane Florence, the positions who most frequently had regular duties postponed or interrupted were leadership (15 of 48; 31.3%), and professional staff (e.g., nursing and epidemiology: 11 of 48; 22.9%). Staffing shelters for all phases – from disaster response through long-term recovery – was identified as a burden by LHDs, particularly for nursing staff. Approximately 66.6% of LHD jurisdictions opened an Emergency Operations Center (EOC) or activated Incident Command System in response to both hurricanes. If an EOC was activated, the LHD was statistically, significantly more likely to report that normal duties had been interrupted across every domain assessed.

The ability of LHDs to perform regular activities and provide essential public health services is impacted by their obligations to support disaster response. Better metrics are needed to measure the impacts to estimate indirect public health impacts of disasters.

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 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.

Disaster recovery efforts focus on restoring basic needs to survivors, such as food, water, and shelter. However, long after the immediate recovery phase is over, some individuals will continue to experience unmet needs. Ongoing food insecurity has been identified as a post-disaster problem. There is a paucity of information regarding the factors that might place an individual at risk for continued food insecurity post disaster.

Using data from a sample (n=737) of households severely impacted by Hurricane Katrina, we estimated the associations between food insecurity and structural, physical and mental health, and psychosocial factors 5 years after Hurricane Katrina. Logistic regression models were fit and odds ratios (OR) and 95% CI estimated.

Nearly one-quarter of respondents (23%) reported food insecurity 5 years post Katrina. Marital/partner status (OR: 0.7, CI: 0.42, 0.99), self-efficacy (OR: 0.56, CI: 0.37, 0.84), sense of community (OR: 0.7, CI: 0.44, 0.98), and social support (OR: 0.59, CI: 0.39, 0.89) lowered the odds of food insecurity and explained most of the effects of mental health distress on food insecurity. Social support, self-efficacy, and being partnered were protective against food insecurity.

Recovery efforts should focus on fostering social-support networks and increased self-efficacy to improve food insecurity post disaster. (Disaster Med Public Health Preparedness. 2018;12:47–56)