Evidence map›Paper›PMID 42488896›Full record

ArticleFrontiers in veterinary science2026

The direction and rate of spread of chronic wasting disease.

Arun Suresh, Zoe Shanley, Shane Hesting, Levi Jaster, Akila Raghavan, Ram K Raghavan

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 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.

Arun SureshDepartment of Mathematics, College of Arts and Sciences, University of Missouri, Columbia, MO, United States.
Zoe ShanleyDepartment of Mathematics, College of Arts and Sciences, University of Missouri, Columbia, MO, United States.
Shane HestingKansas Department of Wildlife and Parks, Emporia, KS, United States.
Levi JasterKansas Department of Wildlife and Parks, Emporia, KS, United States.
Akila RaghavanDepartment of Pathobiology and Integrative Biomedical Sciences, College of Veterinary Medicine, University of Missouri, Columbia, MO, United States.
Ram K RaghavanDepartment of Pathobiology and Integrative Biomedical Sciences, College of Veterinary Medicine, University of Missouri, Columbia, MO, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Chronic wasting disease (CWD) is a fatal transmissible prion disease of cervids that continues to expand across North America. Although the spatiotemporal distribution of CWD in the central United States has been extensively documented, the direction and rate of disease spread remain poorly understood, limiting the implementation of proactive surveillance and mitigation strategies. Methods: We developed a data-driven spatiotemporal modeling framework to quantify the direction and rate of CWD spread across Kansas using surveillance data collected between 2005 and 2023. Kansas was partitioned into 20 km Results: The model successfully reproduced the observed spatiotemporal progression of CWD across Kansas with high predictive accuracy (mean AUC = 0.88). Zonal analyses revealed a predominant northwest-to-southeast progression of infection, with substantial regional heterogeneity in both direction and velocity of spread. Local vector-flow analyses identified multiple transmission corridors and persistent hotspots that may function as regional sources of infection dissemination. Rates of spread quantified at both zonal and local scales corroborated the directional trends observed in the flow analyses and highlighted areas characterized by elevated transmission intensity and migratory spread. Importantly, the model demonstrated strong forecasting capability by anticipating emerging areas of infection prior to their confirmation through surveillance. Discussion: By integrating mechanistic disease dynamics with empirically informed migration processes, our framework provides a quantitative characterization of both the direction and rate of CWD spread at two spatial scales. These findings offer actionable insights for wildlife disease management by supporting targeted surveillance, boundary monitoring, and region-specific intervention strategies.

Indexed as

chronic wasting diseasedirection of spreadKansasmathematical modelingrate of spread

Identifiers

PMID42488896
PMCPMC13388202

What Socratic holds

Textmetadata
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 Socratic graph.