Evidence map›Paper›PMID 35257771›Full record

ArticleThe Science of the total environment2022

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

Xinlei Deng, Samantha Friedman, Ian Ryan, Wangjian Zhang, Guanghui Dong, Havidan Rodriguez, Fangqun Yu, Wenzhong Huang, Arshad Nair, Gan Luo and 1 more

Abstract read
In one paragraph

Article in The Science of the total environment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.6field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Assessing bias in measuring power outage exposure with simulations.Environmental epidemiology (Philadelphia, Pa.) · 2025
    Article
  8. Mapping the Vulnerability of Older-Adult Neighborhoods: An Ecological Study of New York State.International journal of environmental research and public health · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Climate Change and Cardiovascular Health.Journal of the American Heart Association · 2022
    Article
  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 3 countries.

Xinlei DengDepartment of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, USA.
Samantha FriedmanDepartment of Sociology, University at Albany, State University of New York, USA.
Ian RyanDepartment of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, USA.
Wangjian ZhangSchool of Public Health, Sun Yat-sen University, Guangzhou, China.
Guanghui DongSchool of Public Health, Sun Yat-sen University, Guangzhou, China.
Havidan RodriguezUniversity at Albany, State University of New York, USA.
Fangqun YuSchool of Public Health and Preventive Medicine, Monash University, Australia.
Wenzhong HuangSchool of Public Health and Preventive Medicine, Monash University, Australia.
Arshad NairAtmospheric Sciences Research Center, University at Albany, State University of New York, USA.
Gan LuoAtmospheric Sciences Research Center, University at Albany, State University of New York, USA.
Shao LinDepartment of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, USA; Department of Epidemiology and Biostatistics, School of Public Health, University at Albany, State University of New York, USA. Electronic address: slin@albany.edu.
University at Albany, State University of New York · USMonash University · AUSun Yat-sen University · CNAlbany State University · US

Funding

Weather extremes, natural disasters, and health outcomes among vulnerable older adults: New improvements on exposure assessment, disparity identification, and risk communication strategiesR01AG070949 · NIA · STATE UNIVERSITY OF NEW YORK AT ALBANY · PI LIN, SHAO · 2022 to 2025
$1.6M
Assess and Model the Health Effects, Population, and Infrastructural Vulnerabilities of Power OutageR15ES028000 · NIEHS · STATE UNIVERSITY OF NEW YORK AT ALBANY · PI LIN, SHAO · 2018 to 2018
$444k
NCEH CDC HHS U01 EH000396NIA NIH HHS R01 AG070949NIEHS NIH HHS R15 ES028000
6 · The paper itself

Abstract

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.

Indexed as

Cardiovascular DiseasesRespiratory Tract InfectionsAgedFemaleFloodsHospitalizationHospitalsHumansCardiovascular diseasesChronic respiratory diseasesFloodsFood-/water-borne diseasesPower outageRespiratory infections

Identifiers

PMID35257771
PMCPMC12184828
OpenAlexW4220895845

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.