Evidence map›Paper›PMID 41810964›Full record

ArticleApplied and environmental microbiology2026

Predictive intelligence for future vibriosis risk in the eastern United States employing Bayesian spatial modeling.

Bailey M Magers, Sunil Kumar, Kyle D Brumfield, Katherine Deliz Quiñones, Rita R Colwell, Antarpreet S Jutla

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Applied and environmental microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Bailey M MagersGeohealth and Hydrology Laboratory, Department of Environmental Engineering Sciences, University of Florida, Gainesville, Florida, USA.
Sunil KumarGeohealth and Hydrology Laboratory, Department of Environmental Engineering Sciences, University of Florida, Gainesville, Florida, USA.
Kyle D BrumfieldMaryland Pathogen Research Institute, University of Maryland, College Park, Maryland, USA.ORCID 0000-0002-3234-3337
Katherine Deliz QuiñonesDepartment of Environmental Engineering Sciences, University of Florida, Gainesville, Florida, USA.
Rita R ColwellMaryland Pathogen Research Institute, University of Maryland, College Park, Maryland, USA.
Antarpreet S JutlaGeohealth and Hydrology Laboratory, Department of Environmental Engineering Sciences, University of Florida, Gainesville, Florida, USA.ORCID 0000-0002-8191-2348

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

IMPORTANCE: This study provides predictive risk models for vibriosis infections along the eastern United States with a 1-month lead time and demonstrates risk of vibriosis under different climate change scenarios. These efforts may lead to the development of future early warning systems, allowing for mitigation of infections and benefit to public health.

Indexed as

VibrioVibrio InfectionsBayes TheoremHumansRisk AssessmentUnited StatesVibriovibriosisVibrio spp.

Identifiers

PMID41810964
PMCPMC13101486

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.