Evidence map›Paper›PMID 34808089›Full record

ArticleEmerging infectious diseases2021

Potential Use for Serosurveillance of Feral Swine to Map Risk for Anthrax Exposure, Texas, USA.

Rachel M Maison, Courtney F Pierce, Izabela K Ragan, Vienna R Brown, Michael J Bodenchuk, Richard A Bowen, Angela M Bosco-Lauth

Open access · diamondAbstract read
In one paragraph

Article in Emerging infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Exposure of feral swine toFrontiers in epidemiology · 2025
    Article
  2. Serosurveillance ofJournal of clinical microbiology · 2024
    Article
  3. Article
  4. 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

7 authors at 2 institutions in 1 country.

Rachel M Maison
Courtney F Pierce
Izabela K Ragan
Vienna R Brown
Michael J Bodenchuk
Richard A Bowen
Angela M Bosco-Lauth
Colorado State University · USAnimal and Plant Health Inspection Service · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anthrax is a disease of concern in many mammals, including humans. Management primarily consists of prevention through vaccination and tracking clinical-level observations because environmental isolation is laborious and bacterial distribution across large geographic areas difficult to confirm. Feral swine (Sus scrofa) are an invasive species with an extensive range in the southern United States that rarely succumbs to anthrax. We present evidence that feral swine might serve as biosentinels based on comparative seroprevalence in swine from historically defined anthrax-endemic and non-anthrax-endemic regions of Texas. Overall seropositivity was 43.7% (n = 478), and logistic regression revealed county endemicity status, age-class, sex, latitude, and longitude were informative for predicting antibody status. However, of these covariates, only latitude was statistically significant (β = -0.153, p = 0.047). These results suggests anthrax exposure in swine, when paired with continuous location data, could serve as a proxy for bacterial presence in specific areas.

Indexed as

AnthraxSwine DiseasesAnimalsAnimals, WildSeroepidemiologic StudiesSwineTexasUnited StatesanthraxBacillus anthracisbacteriabiosentinelsELISAendemic diseasesenzyme-linked immunosorbent assayferal swineinvasive speciesphylogenypublic health surveillancerisk assessmentserosurveillancesouthern United StatesSus scrofaTexaszoonoses

Identifiers

PMID34808089
PMCPMC8632180
OpenAlexW3214949205

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.