Evidence map›Paper›PMID 41395496›Full record

ArticleGeoHealth2025

Hotspots of Bacterial Pathogen Abundance and Exposure Risk in Soils of the Contiguous United States.

Emily A Matthews, Ying-Xian Goh, Shannon L Hepp, Jingqiu Liao, Ryan S D Calder

Abstract read
In one paragraph

Article in GeoHealth, 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. 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

5 authors.

Emily A MatthewsDepartment of Civil and Environmental Engineering Virginia Tech Blacksburg VA USA.ORCID https://orcid.org/0009-0002-0078-4522
Ying-Xian GohDepartment of Civil and Environmental Engineering Virginia Tech Blacksburg VA USA.ORCID https://orcid.org/0000-0002-0951-3596
Shannon L HeppDepartment of Civil and Environmental Engineering Virginia Tech Blacksburg VA USA.ORCID https://orcid.org/0009-0002-3493-9676
Jingqiu LiaoDepartment of Civil and Environmental Engineering Virginia Tech Blacksburg VA USA.ORCID https://orcid.org/0000-0002-2579-8157
Ryan S D CalderGlobal Change Center Virginia Tech Blacksburg VA USA.ORCID https://orcid.org/0000-0001-5618-9840

Funding

Rural Environmental Health Training ProgramT32ES033959 · NIEHS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI Julia M Gohlke, Steven Poelzing · 2023 to 2026
$399k
NIEHS NIH HHS T32 ES033959
6 · The paper itself

Abstract

Soils are reservoirs of pathogenic bacteria that cause human illness, particularly after mobilizing events such as extreme rain. Land-use patterns (e.g., proximity to agriculture) and soil properties (e.g., moisture) are associated with abundance of individual pathogenic bacteria. However, there are major uncertainties in (a) the importance of local/regional land-use decisions relative to overall natural variability of pathogenicity and (b) the correlations among pathogen abundance, climate-linked physical processes increasing pathogen mobility, and the vulnerability of human receptors. This impairs identification of priority areas for outbreak surveillance, which has traditionally focused on food and water distribution networks, and the development of process-based risk screening models. Here, we analyze a novel data set of 622 soil samples covering 42 of the 48 contiguous United States. We describe (a) the relationship between putative pathogenicity and natural and land-use drivers and (b) how hotspots of putative pathogen abundance intersect with climate-linked hazard of mobilization via fire, floods, wind, and fluvial transport, and the social vulnerability of local human populations. Variability in putative pathogenicity can be partially explained by known drivers, with natural variables having greater explanatory power than land-use variables. Relative abundance of putative pathogens is generally higher in forested ecoregions, notably in the eastern and southeastern United States and in proximity to surface waters. Higher relative abundance of putative pathogens, climate risks promoting pathogen mobility, and a relatively vulnerable rural population intersect in the southeastern United States. Integrated sampling and modeling are needed to monitor and forecast health risks from soilborne pathogens.

Indexed as

bacterial pathogenclimate changeenvironmental healthoutbreaksocial vulnerabilitysoilborne bacteria

Identifiers

PMID41395496
PMCPMC12698510

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.