Evidence map›Paper›PMID 35258534›Full record

Observational studyJAMA2022

Association of Tropical Cyclones With County-Level Mortality in the US.

Robbie M Parks, Jaime Benavides, G Brooke Anderson, Rachel C Nethery, Ana Navas-Acien, Francesca Dominici, Majid Ezzati, Marianthi-Anna Kioumourtzoglou

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in JAMA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 pooled it
8.3field-weighted citation impact, top 1% 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

45 citing papers in PubMed, 1 synthesis or guideline pooled it, 83 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Journal of the American Heart Association · 2026
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Disruption to test scores after hurricanes in the United States.Environmental research, health : ERH · 2025
    Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 3 countries.

Robbie M ParksDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York.
Jaime BenavidesDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York.
G Brooke AndersonDepartment of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins.
Rachel C NetheryDepartment of Biostatistics, T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts.
Ana Navas-AcienDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York.
Francesca DominiciDepartment of Biostatistics, T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts.
Majid EzzatiMRC Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom.
Marianthi-Anna KioumourtzoglouDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York.
Columbia University · USHarvard University · USColorado State University · USEarth Island Institute · USImperial College London · GB

Funding

Training CoreP42ES010349 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI NAVAS-ACIEN, ANA · 2000 to 2020
$53.6M
True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MATTHEW S PERZANOWSKI · 1998 to 2026
$44.7M
National Cohort Studies of Alzheimer's Disease, Related Dementias and Air PollutionR01AG066793 · NIA · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI ZANOBETTI, ANTONELLA · 2020 to 2025
$4.2M
Environmental Health Disparities in an Older PopulationR01MD012769 · NIMHD · YALE UNIVERSITY · PI BELL, MICHELLE L · 2017 to 2021
$3.9M
Relationship Between Multiple Environmental Exposures and CVD Incidence and Survival: Vulnerability and SusceptibilityR01ES028033 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI DOMINICI, FRANCESCA, LADEN, FRANCINE · 2018 to 2022
$3.5M
Integrating Air Pollution Prediction Models: Uncertainty Quantification and Propagation in Health StudiesR01ES030616 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DOMINICI, FRANCESCA, KIOUMOURTZOGLOU, MARIANTHI-ANNA · 2020 to 2024
$3.1M
Disease Outcomes iN Older adults under extreme Heat, AiR pollution and Medication use (DO-NO-HARM)R01AG060232 · NIA · RUTGERS, THE STATE UNIV OF N.J. · PI SETOGUCHI IWATA, SOKO · 2019 to 2023
$3.0M
Evidence to improve heat warning effectiveness in reducing morbidity and mortality.R01ES029950 · NIEHS · BROWN UNIVERSITY · PI WELLENIUS, GREGORY A · 2019 to 2022
$2.5M
Short and long-term consequences of wildfires for Alzheimer's disease and related dementias.RF1AG071024 · NIA · UNIVERSITY OF WASHINGTON · PI CASEY, JOAN A · 2021 to 2022
$2.4M
Principal Component Pursuit to Assess Exposure to Environmental Mixtures in Epidemiologic StudiesR01ES028805 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI KIOUMOURTZOGLOU, MARIANTHI-ANNA · 2018 to 2021
$2.2M
Novel Assessments of the Health Impacts of Tropical CyclonesR00ES033742 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI PARKS, ROBBIE M · 2023 to 2025
$911k
Air Pollution Exposure and Risk of Amyotrophic Lateral Sclerosis (ALS)R21ES028472 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI KIOUMOURTZOGLOU, MARIANTHI-ANNA · 2018 to 2019
$406k
Medical Research Council MR/S019669/1NIA NIH HHS R01 AG060232NIA NIH HHS R01 AG066793NIA NIH HHS RF1 AG071024NIEHS NIH HHS K99 ES033742NIEHS NIH HHS P30 ES009089NIEHS NIH HHS P42 ES010349NIEHS NIH HHS R00 ES033742NIEHS NIH HHS R01 ES028033NIEHS NIH HHS R01 ES028805NIEHS NIH HHS R01 ES029950NIEHS NIH HHS R01 ES030616NIEHS NIH HHS R21 ES028472NIMHD NIH HHS R01 MD012769Wellcome Trust 209376/Z/17/Z
6 · The paper itself

Abstract

Importance: Tropical cyclones have a devastating effect on society, but a comprehensive assessment of their association with cause-specific mortality over multiple years of study is lacking. Objective: To comprehensively evaluate the association of county-level tropical cyclone exposure and death rates from various causes in the US. Design, Setting, and Participants: A retrospective observational study using a Bayesian conditional quasi-Poisson model to examine how tropical cyclones were associated with monthly death rates. Data from 33.6 million deaths in the US were collected from the National Center for Health Statistics over 31 years (1988-2018), including residents of the 1206 counties in the US that experienced at least 1 tropical cyclone during the study period. Exposures: Tropical cyclone days per county-month, defined as number of days in a month with a sustained maximal wind speed 34 knots or greater. Main Outcomes and Measures: Monthly cause-specific county-level death rates by 6 underlying causes of death: cancers, cardiovascular diseases, infectious and parasitic diseases, injuries, neuropsychiatric conditions, and respiratory diseases. The model yielded information about the association between each additional cyclone day per month and monthly county-level mortality compared with the same county-month in different years, up to 6 months after tropical cyclones, and how these estimated associations varied by age, sex, and social vulnerability. The unit of analysis was county-month. Results: There were 33 619 393 deaths in total (16 691 681 females and 16 927 712 males; 8 587 033 aged 0-64 years and 25 032 360 aged 65 years or older) from the 6 causes recorded in 1206 US counties. There was a median of 2 tropical cyclone days experienced in total in included US counties. Each additional cyclone day was associated with increased death rates in the month following the cyclone for injuries (3.7% [95% credible interval {CrI}, 2.5%-4.9%]; 2.0 [95% CrI, 1.3-2.7] additional deaths per 1 000 000 for 2018 monthly age-standardized median rate [DPM]; 54.3 to 56.3 DPM), infectious and parasitic diseases (1.8% [95% CrI, 0.1%-3.6%]; 0.2 [95% CrI, 0.0-0.4] additional DPM; 11.7 to 11.9 DPM), respiratory diseases (1.3% [95% CrI, 0.2%-2.4%]; 0.6 [95% CrI, 0.1-1.1] additional DPM; 44.9 to 45.5 DPM), cardiovascular diseases (1.2% [95% CrI, 0.6%-1.7%]; 1.5 [95% CrI, 0.8-2.2] additional DPM; 129.6 to 131.1 DPM), neuropsychiatric conditions (1.2% [95% CrI, 0.1%-2.4%]; 0.6 [95% CrI, 0.1-1.2] additional DPM; 52.1 to 52.7 DPM), with no change for cancers (-0.3% [95% CrI, -0.9% to 0.3%]; -0.3 [95% CrI, -0.9 to 0.3] additional DPM; 100.4 to 100.1 DPM). Conclusions and Relevance: Among US counties that experienced at least 1 tropical cyclone from 1988-2018, each additional cyclone day per month was associated with modestly higher death rates in the months following the cyclone for several causes of death, including injuries, infectious and parasitic diseases, cardiovascular diseases, neuropsychiatric conditions, and respiratory diseases.

Indexed as

Cause of DeathBayes TheoremCyclonic StormsHumansRetrospective StudiesUnited States

Identifiers

PMID35258534
PMCPMC8905400
OpenAlexW4220877764

What OpenQuestion holds

Textmetadata
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.