Floods and cause-specific mortality in the United States applying a triply robust approach
The health impact of floods has not been well characterized. This study evaluated long-term associations between cause-specific mortality rates and county-level monthly flood days (excluding coastal floods caused by tropical storms) in the post-flood year in the contiguous U.S., using a triply robust approach incorporating propensity score, counterfactual estimation, and confounder adjustment. Death records came from the CDC National Center for Health Statistics (2001-2020) and floods came from the NOAA Storm Events Database (2000-2020). We found that one flood day was associated with 8.3 (95% CI: 2.5 to 14.1) excess all-cause deaths per 10 million individuals, 3.1 due to myocardial infarction, 2.4 due to respiratory diseases, and 5.9 due to external causes. From 2001 to 2020, 22,376 (95% CI: 6,758 to 37,993) all-cause deaths were attributable to floods. Our findings highlight the long-term health risks after floods, and a need for measures to reduce these risks.
Authors
- Sarah Ryan Lowe (ORCID: https://orcid.org/0000-0001-9544-4234)
- Erica S. Spatz (ORCID: https://orcid.org/0000-0002-1557-7713)
- Joshua L. Warren (ORCID: https://orcid.org/0000-0002-6274-6970)
- Joseph S. Ross (ORCID: https://orcid.org/0000-0002-9218-3320)
- Lingzhi Chu (ORCID: https://orcid.org/0000-0002-7613-2769)
- Yuan Lu
- Harlan M. Krumholz (ORCID: https://orcid.org/0000-0003-2046-127X)
- Xiaomei Ma (ORCID: https://orcid.org/0000-0001-9472-8032)
- Kai Chen (ORCID: https://orcid.org/0000-0002-0164-1112)
Institutions
- Yale New Haven Hospital (US)
- Yale Cancer Center (US)
- Yale University (US)
- Yale New Haven Health System (US)
Publication Details
- Journal
- Nature Communications
- Published
- 2025-03-23
- DOI
- https://doi.org/10.1038/s41467-025-58236-0
- Citations
- 6
- Primary Topic
- Flood Risk Assessment and Management
- Type
- article
- Field-Weighted Citation Impact
- 6.63
Funders
- National Heart, Lung, and Blood Institute