Evidence map›Paper›PMID 31536392›Full record

ArticleEnvironmental health perspectives2019

Precipitation and Salmonellosis Incidence in Georgia, USA: Interactions between Extreme Rainfall Events and Antecedent Rainfall Conditions.

Debbie Lee, Howard H Chang, Stefanie Ebelt Sarnat, Karen Levy

Abstract read
In one paragraph

Article in Environmental health perspectives, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Review
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  17. Applied and environmental microbiology · 2021
    Article
  18. Free-Living Aquatic Turtles as Sentinels ofFrontiers in veterinary science · 2021
    Article
  19. Review
  20. 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

4 authors.

Debbie LeeDepartment of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.
Howard H ChangDepartment of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.
Stefanie Ebelt SarnatDepartment of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.
Karen LevyDepartment of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.

Funding

Impacts of Human Movement on Regional Strain Distribution of Diarrheagenic E.coliK01AI103544 · NIAID · EMORY UNIVERSITY · PI LEVY, KAREN · 2013 to 2017
$655k
NIAID NIH HHS K01 AI103544
6 · The paper itself

Abstract

backgroundThe southeastern United States consistently has high salmonellosis incidence, but disease drivers remain unknown.

objectivesThis study investigated associations between short-term precipitation (extreme rainfall events) and longer-term precipitation (rainfall conditions antecedent to these extreme events) on salmonellosis counts in the state of Georgia in the United States.

methodsFor the period 1997-2016, negative binomial models estimated associations between weekly county-level extreme rainfall events (

resultsIn Georgia's Coastal Plain counties, extreme and antecedent rainfall were associated with significant differences in salmonellosis counts. In these counties, extreme rainfall was associated with a 5% increase in salmonellosis risk (95% CI: 1%, 10%) compared with weeks with no extreme rainfall. Antecedent dry periods were associated with a 9% risk decrease (95% CI: 5%, 12%), whereas wet periods were associated with a 5% increase (95% CI: 1%, 9%), compared with periods of moderate rainfall. In models considering the interaction between extreme and antecedent rainfall conditions, wet periods were associated with a 13% risk increase (95% CI: 6%, 19%), whereas wet periods followed by extreme events were associated with an 11% increase (95% CI: 5%, 18%). Associations were substantially magnified when analyses were restricted to cases attributed to serovars commonly isolated from wildlife/environment (e.g., Javiana). For example, wet periods followed by extreme rainfall were associated with a 34% risk increase (95% CI: 20%, 49%) in environmental serovar infection.

conclusionsGiven the associations of short-term extreme rainfall events and longer-term rainfall conditions on salmonellosis incidence, our findings suggest that avoiding contact with environmental reservoirs of

Indexed as

RainEnvironmental ExposureGeorgiaHumansIncidenceSalmonella InfectionsSeasons

Identifiers

PMID31536392
PMCPMC6792369

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.