Evidence map›Paper›PMID 39753964›Full record

ArticleNature medicine2025

Large floods drive changes in cause-specific mortality in the United States.

Victoria D Lynch, Jonathan A Sullivan, Aaron B Flores, Xicheng Xie, Sarika Aggarwal, Rachel C Nethery, Marianthi-Anna Kioumourtzoglou, Anne E Nigra, Robbie M Parks

Abstract read
In one paragraph

Article in Nature medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Attitudes toward climate change risk among older people: new evidence from the English Longitudinal Study of Ageing.The journals of gerontology. Series B, Psychological sciences and social sciences · 2026
    Article
  5. Article
  6. Journal of the American Heart Association · 2026
    Article
  7. Article
  8. Article
  9. 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

9 authors.

Victoria D LynchDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA. vdl2103@cumc.columbia.edu.ORCID http://orcid.org/0000-0003-0966-5474
Jonathan A SullivanSchool of Geography, Development & Environment, College of Social & Behavioral Sciences, University of Arizona, Tucson, AZ, USA.ORCID http://orcid.org/0000-0001-7414-6094
Aaron B FloresSchool of Geographical Sciences and Urban Planning, Arizona State University, Tempe, AZ, USA.ORCID http://orcid.org/0000-0003-0933-1386
Xicheng XieDepartment of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA.
Sarika AggarwalDepartment of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA.ORCID http://orcid.org/0009-0009-1827-5997
Rachel C NetheryDepartment of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
Marianthi-Anna KioumourtzoglouDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA.
Anne E NigraDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA.ORCID http://orcid.org/0000-0002-5033-0345
Robbie M ParksDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA.ORCID http://orcid.org/0000-0002-7916-1717

Funding

True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Steven N. Chillrud · 1998 to 2026
$44.7M
Supplemental Training in Making Data FAIR and AI/ML ReadyT32ES007322 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Pam R Factor-Litvak, Allison Kupsco · 2000 to 2026
$12.1M
GRADUATE TRAINING IN BIOSTATISTICST32ES007142 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI Brent Andrew Coull · 1985 to 2026
$11.9M
Network biology-based markers of extreme weather-induced neurodegenerationP20AG093975 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BERHANE, KIROS T · 2024 to 2025
$2.8M
Novel Assessments of the Health Impacts of Tropical CyclonesR00ES033742 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI PARKS, ROBBIE M · 2023 to 2025
$911k
Novel Assessments of the Health Impacts of Tropical CyclonesK99ES033742 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI PARKS, ROBBIE M · 2022 to 2023
$208k
NIA NIH HHS P20 AG093975NIEHS NIH HHS K99 ES033742NIEHS NIH HHS P30 ES009089NIEHS NIH HHS R00 ES033742NIEHS NIH HHS T32 ES007142NIEHS NIH HHS T32 ES007322U.S. Department of Health & Human Services | NIH | National Institute of Environmental Health Sciences (NIEHS) ES033742U.S. Department of Health & Human Services | NIH | National Institute of Environmental Health Sciences (NIEHS) P20AG093975U.S. Department of Health & Human Services | NIH | National Institute of Environmental Health Sciences (NIEHS) P30ES009089U.S. Department of Health & Human Services | NIH | National Institute of Environmental Health Sciences (NIEHS) R00ES033742U.S. Department of Health & Human Services | NIH | National Institute of Environmental Health Sciences (NIEHS) T32ES007142U.S. Department of Health & Human Services | NIH | National Institute of Environmental Health Sciences (NIEHS) T32ES007322
6 · The paper itself

Abstract

Flooding greatly endangers public health and is an urgent concern as rapid population growth in flood-prone regions and more extreme weather events will increase the number of people at risk. However, an exhaustive analysis of mortality following floods has not been conducted. Here we used 35.6 million complete death records over 18 years (2001-2018) from the National Center for Health Statistics in the United States, highly resolved flood exposure data and a Bayesian conditional quasi-Poisson model to estimate the association of flooding with monthly county-level death rates for cancers, cardiovascular diseases, infectious and parasitic diseases, injuries, neuropsychiatric conditions and respiratory diseases up to 3 months after the flood. During the month of flooding, very severe heavy rain-related floods were associated with increased infectious disease (3.2%; 95% credible interval (CrI): 0.1%, 6.2%) and cardiovascular disease (2.1%; 95% CrI: 1.3%, 3.0%) death rates and tropical cyclone-related floods were associated with increased injury death rates (15.3%; 95% CrI: 12.4%, 18.1%). During the month of very severe tropical cyclone-related flooding, increases in injury death rate were higher for those ≥65 years old (24.9; 95% CrI: 20.0%, 29.8%) than for those aged <65 years (10.2%; 95% CrI: 6.6%, 13.8%) and for females (21.2%; 95% CrI: 16.3%, 26.1%) than for males (12.6%; 95% CrI: 9.1%,16.1%). Effective public health responses are critical now and with projected increased flood severity driven by climate change.

Indexed as

FloodsAdolescentAdultAgedBayes TheoremCardiovascular DiseasesCause of DeathChildChild, PreschoolCommunicable DiseasesFemaleHumansInfantMaleMiddle AgedUnited States

Identifiers

PMID39753964
PMCPMC11835711

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.