Evidence map›Paper›PMID 39759183›Full record

ArticleEnvironmental research, health : ERH2025

Hurricanes, industrial animal operations, and acute gastrointestinal illness in North Carolina, USA.

Arbor J L Quist, Mike Dolan Fliss, David B Richardson, Paul L Delamater, Lawrence S Engel

Abstract read
In one paragraph

Article in Environmental research, health : ERH, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

5 authors.

Arbor J L QuistDivision of Epidemiology, College of Public Health, The Ohio State University, Columbus, OH 43210, United States of America.ORCID https://orcid.org/0000-0002-5642-0237
Mike Dolan FlissInjury Prevention Research Center, University of North Carolina, Chapel Hill, NC 27514, United States of America.ORCID https://orcid.org/0000-0002-3194-7171
David B RichardsonDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599, United States of America.
Paul L DelamaterDepartment of Geography, University of North Carolina, Chapel Hill, NC 27514, United States of America.ORCID https://orcid.org/0000-0003-3627-9739
Lawrence S EngelDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599, United States of America.ORCID https://orcid.org/0000-0001-9268-4830

Funding

Biostatstics for Research in Environmental HealthT32ES007018 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel, Rebecca Fry · 1985 to 2026
$31.3M
Training Grant in Genomic Analysis and InterpretationT32ES013678 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GAUDERMAN, WILLIAM JAMES, MCCONNELL, ROB S · 2006 to 2023
$5.6M
NIEHS NIH HHS T32 ES007018NIEHS NIH HHS T32 ES013678
6 · The paper itself

Abstract

North Carolina (NC) ranks third among US states in both hog production and hurricanes. NC's hogs are housed in concentrated animal feeding operations (CAFOs) in the eastern, hurricane-prone part of the state. Hurricanes can inundate hog waste lagoons, transporting fecal bacteria that may cause acute gastrointestinal illness (AGI). While CAFOs and hurricanes have separately been associated with AGI, few epidemiological studies have examined the joint effect of hurricanes and CAFOs. We examined the impacts of Hurricanes Matthew (2016) and Florence (2018) on the occurrence of post-storm AGI in areas with varying numbers of hog and poultry CAFOs. We used ZIP code-level disease surveillance data, 2016-2019, to calculate rates of AGI emergency department (ED) visits in NC. Using precipitation data, CAFO permit data, and interrupted time series methods, we assessed the change in AGI rate during the three weeks after Matthew and Florence in ZIP codes with heavy rain (>75th percentile of storm precipitation) and 0, 1-10, and >10 hog CAFOs. The AGI ED rate in ZIP codes with heavy storm rain and >10 hog CAFOs increased 15% (RR = 1.15, 95% CI: 1.04, 1.27) during the three weeks after Hurricane Florence, although there was little increase after Hurricane Matthew (RR = 1.05, 95% CI = 0.86, 1.24). The AGI ED rates in ZIP codes with heavy storm rain and no hog CAFOs exhibited no increase during these post-hurricane periods (Matthew: RR = 0.97, 95% CI: 0.80, 1.14; Florence: RR = 1.01, 95% CI: 0.89, 1.13). We also observed an increase in AGI ED rate in areas with both >10 hog CAFOs and >10 poultry CAFOs. Areas with heavy hurricane precipitation and many CAFOs had a higher proportion of Black, American Indian, and Hispanic residents and lower annual household incomes than the state averages. Heavy hurricane precipitation in areas with CAFOs may increase AGI rates, disproportionately affecting people of color in NC.

Indexed as

CAFOsenvironmental justicefloodinggastrointestinal illnesshog productionhurricanesswine

Identifiers

PMID39759183
PMCPMC11696836

What OpenQuestion holds

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LicenceCC BY
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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.