ArticleInternational journal of disaster risk reduction : IJDRR2023
A spatial analysis of power-dependent medical equipment and extreme weather risk in the southeastern United States.
Article in International journal of disaster risk reduction : IJDRR, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
4 citing papers in PubMed.
- Effect of requiring advanced respiratory support on disaster-related anxiety among caregivers of children with medical complexity: a cross-sectional study.BMC public health · 2026Article
- Evaluating administrative compliance as a predictor of nursing home postdisaster outcomes in the USA.BMJ public health · 2026Article
- The electricity cost burden of durable medical equipment in the United States.Scientific reports · 2024Article
- Association of social vulnerability factors with power outage burden in Washington state: 2018-2021.PloS one · 2024Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Extreme weather events endanger critical health infrastructure, and many individuals rely on infrastructure to meet their basic needs, such as heat, water, and medical devices. The purpose of this study is to identify spatially explicit at-risk populations for power outages due to these extreme weather events. To accomplish this, we used the HHS emPOWER Emergency Planning Dataset, which was created to help public health authorities plan for and address the needs of communities. Using Geographic Information Systems (GIS), we overlay emPOWER data with the frequency of extreme weather events, including wildfires, hurricanes, tornadoes, and ice storms. Through our analysis, we identified vulnerable areas for high rates of disasters and electricity-dependent durable medical equipment (DME) to be located in communities along the coast. We also found a higher concentration of DME in rural areas compared to urban areas. In addition, we found least privileged economic locations are disproportionately vulnerable to power outages in the southeastern United States due to their high concentration of DME individuals. These results will inform public health officials where to target interventions to ensure continuity of care for vulnerable populations during power outages at the community level.
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Registered trials
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