4.7 Article

The independent and synergistic impacts of power outages and floods on hospital admissions for multiple diseases

Journal

SCIENCE OF THE TOTAL ENVIRONMENT
Volume 828, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.scitotenv.2022.154305

Keywords

Power outage; Floods; Cardiovascular diseases; Chronic respiratory diseases; Respiratory infections; Food-/water-borne diseases

Funding

  1. National Institute of Environmental Health Sciences of United States [1R15ES02800001A1]

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This study examines the independent and synergistic effects of power outages (PO) and floods on various diseases in New York State. It finds that both PO and floods independently increase health risks, and their combined occurrence leads to the highest health risks. Immediate effects are observed for certain diseases, while delayed effects are found for others.
Highly destructive disasters such as floods and power outages (PO) are becoming more commonplace in the U.S. Few studies examine the effects of floods and PO on health, and no studies examine the synergistic effects of PO and floods, which are increasingly co-occurring events. We examined the independent and synergistic impacts of PO and floods on cardiovascular diseases, chronic respiratory diseases, respiratory infections, and food-/water-borne diseases (FWBD) in New York State (NYS) from 2002 to 2018. We obtained hospitalization data from the NYS discharge database, PO data from the NYS Department of Public Service, and floods events from NOAA. Distributed lag nonlinear models were used to evaluate the PO/floods-health association while controlling for time-varying confounders. We identified significant increased health risks associated with both the independent effects from PO and floods, and their synergistic effects. Generally, the Rate Ratios (RRs) for the co-occurrence of PO and floods were the highest, followed by PO alone, and then floods alone, especially when PO coverage is >75th percentile of its distribution (1.72% PO coverage). For PO and floods combined, immediate effects (lag 0) were observed for chronic respiratory diseases (RR:1.58, 95% CI: 1.24, 2.00) and FWBD (RR:3.02, 95%CI: 1.60, 5.69), but delayed effects were found for cardiovascular diseases (lag 3, RR:1.13, 95%CI: 1.03, 1.24) and respiratory infections (lag 6, RR:1.85, 95%CI: 1.35, 2.53). The risk association was slightly stronger among females, whites, older adults, and uninsured people but not statistically significant. Improving power system resiliency could be a very effective way to alleviate the burden on hospitals during co-occurring floods. We conclude that PO and floods have independently and jointly led to increased hospitalization for multiple diseases, and more research is needed to confirm our findings.

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