Evidence map›Paper›PMID 41451162›Full record

ArticlePNAS nexus2025

A tale of two management programs: Insights from a state-line wildlife disease outbreak.

Andrew B Whetten, Trevor J Hefley, Christopher N Jacques, Daniel J Storm, Daniel P Walsh

Abstract read
In one paragraph

Article in PNAS nexus, 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.

Andrew B WhettenAvian Population Studies, Cornell Lab of Ornithology, 159 Sapsucker Woods Rd, Ithaca, NY 14850, USA.ORCID https://orcid.org/0000-0002-5694-8541
Trevor J HefleyDepartment of Statistics, Kansas State University, 1116 Mid-Campus Dr North, Manhattan, KS 66506, USA.ORCID https://orcid.org/0000-0002-5850-328X
Christopher N JacquesIllinois Department of Natural Resources, 1 Natural Resources Way, Springfield, IL 62702, USA.
Daniel J StormWisconsin Department of Natural Resources, 101 S Webster St, Madison, WI 53707, USA.
Daniel P WalshU.S. Geological Survey, Montana Cooperative Wildlife Research Unit, Wildlife Biology Program, University of Montana, Missoula, MT 59812, USA.ORCID https://orcid.org/0000-0002-7772-2445

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Response to infectious disease outbreaks and ongoing management actions can vary greatly across geopolitical units. Understanding relationships between management actions of governance systems within social ecological systems (SES) is important when resource units (e.g. wildlife) and users (e.g. humans) inextricably connect them. Surveillance efforts provide critical information to governance systems for diseases such as coronavirus, influenza, and ebola. However, diseases that spread rapidly across multiple SESs are coarsely managed and monitored over weeks, months, or years. Such time and spatial constraints can challenge evaluation of management actions. Assessing importance of disease management across SESs for slow-moving infectious diseases can provide rare insights about management actions. We investigated an exemplary outbreak of Chronic Wasting Disease (CWD) in white-tailed deer populations along the geopolitical border of Illinois and Wisconsin, USA. We illustrated challenges of disease management in wildlife populations along geopolitical borders, where differences in management actions of adjacent governance systems were stark and subject to sudden change. Our analysis provided evidence of abrupt change in outbreak progression following drastic changes in management actions. In addition, we showed evidence of inconsistent and highly variable outcomes of management actions along a geopolitical border when adjacent governance systems are unable to cooperatively manage across interconnected SESs. Total annual harvest in a county is a primary management action used to control CWD, where increasing harvest potentially reduces prevalence. We showed that the effects of increasing total county-level harvest on cumulative incidence of CWD were highly heterogeneous. In some counties, increasing harvest had the opposite of the intended effect.

Indexed as

chronic wasting diseasemachine learningsocial–ecological systemswhite-tailed deerwildlife management

Identifiers

PMID41451162
PMCPMC12727682

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.