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The research aims of this project were to understand the impact of the COVID-19 pandemic on pregnancy, birthing, and postpartum experiences in the United States. Our data include responses from 34 states within the US. Findings from our analyses indicate that higher perceived social support predicted higher scores of well-being, while higher scores of perceived loneliness predicted lower scores of well-being, and higher trauma predicted lower well-being measured as satisfaction with life. Qualitative data support these findings, as well as the finding that there were various sources of stress for respondents during pregnancy, birth, and the postpartum timeframe—particularly in terms of managing work/occupation obligations and childcare. Additionally, this research fills a gap in understanding infant feeding in emergencies. Respondents perceived that early release from the hospital reduced access to lactation support, and many respondents reported receiving free samples of breastmilk substitutes through a variety of sources.

People experiencing homelessness are vulnerable to disasters and hazards and are at risk for contracting COVID‐19. In this study, we gathered data from 10 community‐based organizations (CBO's) in the United States that work to provide services for people experiencing homelessness. The combined CBO's span across rural, urban, and a mixture of both settings. We identified three needs that the CBO's indicated to be urgent: (1) the increased need for basic services among guests/clients, (2) new organizational challenges for the CBO's, and (3) issues related to emergency management and disasters. Among these urgent needs, respondents also indicated the need for emotional support for staff and volunteers experiencing burnout during the COVID‐19 response. They also expressed some unique aspects of new care delivery systems, such as clients' willingness to engage in rehabilitation programs because of noncongregate sheltering options corresponding with those support services.

Objectives We examine the ways in which the 2016 Fort McMurray wildfire evacuation affected infant feeding. Our primary objective is to understand the decisions and perceptions of primary caregivers of children age 0-36 months who evacuated from Fort McMurray, Canada. Methods We used a mixed methods approach to assess the overall impact that the evacuation had on infant feeding. Specific outcome variables for the quantitative research are: decision-making, access to support and resources, and changes in routine. Participants were recruited using a purposive sampling technique through infant feeding in emergency support groups on social media in which members were primarily evacuees from the Fort McMurray wildfire. Loglinear results include a model of feeding methods before and after the wildfire evacuation. Results Content analyses results from qualitative data support findings from the loglinear model. Specifically, the findings suggest that the evacuation was associated with a reduction in breastfeeding and an increase in use of infant formula The open-ended data revealed that caregivers experienced stress during and after the evacuation due to moving from place to place, food insecurity associated with artificial feeding, warding off unhealthy food for older children, and managing family reunification. In addition, respondents reported that breastfeeding was a source of comfort for infants and contributed to a sense of empowerment. Conclusions for Practice This study sets forth important groundwork for understanding decision-making, stress, logistics, and social factors that influence infant feeding in a large-scale evacuation event. Emergency management, health workers, and nutrition experts can provide support to families in disasters to mitigate some of the adverse impacts the evacuation may have on infant feeding.

This article introduces a new integrated scenario-based evacuation (ISE) framework to support hurricane evacuation decision making. It explicitly captures the dynamics, uncertainty, and human-natural system interactions that are fundamental to the challenge of hurricane evacuation, but have not been fully captured in previous formal evacuation models. The hazard is represented with an ensemble of probabilistic scenarios, population behavior with a dynamic decision model, and traffic with a dynamic user equilibrium model. The components are integrated in a multistage stochastic programming model that minimizes risk and travel times to provide a tree of evacuation order recommendations and an evaluation of the risk and travel time performance for that solution. The ISE framework recommendations offer an advance in the state of the art because they: (1) are based on an integrated hazard assessment (designed to ultimately include inland flooding), (2) explicitly balance the sometimes competing objectives of minimizing risk and minimizing travel time, (3) offer a well-hedged solution that is robust under the range of ways the hurricane might evolve, and (4) leverage the substantial value of increasing information (or decreasing degree of uncertainty) over the course of a hurricane event. A case study for Hurricane Isabel (2003) in eastern North Carolina is presented to demonstrate how the framework is applied, the type of results it can provide, and how it compares to available methods of a single scenario deterministic analysis and a two-stage stochastic program.