Evidence map›Paper›PMID 33112191›Full record

ArticleEnvironmental health perspectives2020

Assessing United States County-Level Exposure for Research on Tropical Cyclones and Human Health.

G Brooke Anderson, Joshua Ferreri, Mohammad Al-Hamdan, William Crosson, Andrea Schumacher, Seth Guikema, Steven Quiring, Dirk Eddelbuettel, Meilin Yan, Roger D Peng

Abstract read
In one paragraph

Article in Environmental health perspectives, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Rent affordability after hurricanes: Longitudinal evidence from US coastal states.Risk analysis : an official publication of the Society for Risk Analysis · 2025
    Article
  8. Disruption to test scores after hurricanes in the United States.Environmental research, health : ERH · 2025
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Observational
  19. Exposure Assessment for Tropical Cyclone Epidemiology.Current environmental health reports · 2022
    Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

G Brooke AndersonDepartment of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado, USA.
Joshua FerreriDepartment of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado, USA.
Mohammad Al-HamdanUniversities Space Research Association, NASA Marshall Space Flight Center, Huntsville, Alabama, USA.
William CrossonUniversities Space Research Association, NASA Marshall Space Flight Center, Huntsville, Alabama, USA.
Andrea SchumacherCooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, Colorado, USA.
Seth GuikemaDepartment of Industrial and Operations Engineering, University of Michigan, Ann Arbor, Michigan, USA.
Steven QuiringDepartment of Geography, Ohio State University, Columbus, Ohio, USA.
Dirk EddelbuettelDepartment of Statistics, University of Illinois at Urbana-Champaign, Champaign, Illinois, USA.
Meilin YanDepartment of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado, USA.
Roger D PengDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.

Funding

Investigating Health Effects of Climate-Related Disasters in the United StatesR00ES022631 · NIEHS · COLORADO STATE UNIVERSITY · PI ANDERSON, BROOKE · 2015 to 2017
$731k
NIEHS NIH HHS R00 ES022631
6 · The paper itself

Abstract

backgroundTropical cyclone epidemiology can be advanced through exposure assessment methods that are comprehensive and consistent across space and time, as these facilitate multiyear, multistorm studies. Further, an understanding of patterns in and between exposure metrics that are based on specific hazards of the storm can help in designing tropical cyclone epidemiological research.

objectives

methodsWe created an open-source data set with data at the county level on exposure to four tropical cyclone hazards: peak sustained wind, rainfall, flooding, and tornadoes. The data cover all eastern U.S. counties for all land-falling or near-land Atlantic basin storms, covering 1996-2011 for all metrics and up to 1988-2018 for specific metrics. We validated measurements against other data sources and investigated patterns and agreement among binary exposure classifications based on these metrics, as well as compared them to use of distance from the storm's track, which has been used as a proxy for exposure in some epidemiological studies.

resultsOur open-source data set was typically consistent with data from other sources, and we present and discuss areas of disagreement and other caveats. Over the study period and area, tropical cyclones typically brought different hazards to different counties. Therefore, when comparing exposure assessment between different hazard-specific metrics, agreement was usually low, as it also was when comparing exposure assessment based on a distance-based proxy measurement and any of the hazard-specific metrics. DISCUSSION: Our results provide a multihazard data set that can be leveraged for epidemiological research on tropical cyclones, as well as insights that can inform the design and analysis for tropical cyclone epidemiological research. https://doi.org/10.1289/EHP6976.

Indexed as

Cyclonic StormsHealth StatusEnvironmental ExposureFloodsHumansUnited StatesWind

Identifiers

PMID33112191
PMCPMC7592507

What OpenQuestion holds

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Registered trials

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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.