Evidence map›Paper›PMID 39835473›Full record

ArticleEcological applications : a publication of the Ecological Society of America2025

The effectiveness of harvest for limiting wildlife disease: Insights from 20 years of chronic wasting disease in Wyoming.

Wynne E Moss, Justin Binfet, L Embere Hall, Samantha E Allen, William H Edwards, Jessica E Jennings-Gaines, Paul C Cross

Abstract read
In one paragraph

Article in Ecological applications : a publication of the Ecological Society of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. The effectiveness of harvest for limiting wildlife disease: Insights from 20 years of chronic wasting disease in Wyoming.Ecological applications : a publication of the Ecological Society of America · 2025
    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

7 authors.

Wynne E MossU.S. Geological Survey, Northern Rocky Mountain Science Center, Bozeman, Montana, USA.ORCID https://orcid.org/0000-0002-2813-1710
Justin BinfetWyoming Game and Fish Department, Cheyenne, Wyoming, USA.
L Embere HallWyoming Game and Fish Department, Cheyenne, Wyoming, USA.ORCID https://orcid.org/0000-0002-7534-0216
Samantha E AllenWyoming Game and Fish Department, Cheyenne, Wyoming, USA.ORCID https://orcid.org/0000-0001-9436-2325
William H EdwardsWyoming Game and Fish Department, Cheyenne, Wyoming, USA.ORCID https://orcid.org/0000-0002-2262-862X
Jessica E Jennings-GainesWyoming Game and Fish Department, Cheyenne, Wyoming, USA.ORCID https://orcid.org/0000-0002-1056-0680
Paul C CrossU.S. Geological Survey, Northern Rocky Mountain Science Center, Bozeman, Montana, USA.ORCID https://orcid.org/0000-0001-8045-5213

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Effective, practical options for managing disease in wildlife populations are limited, especially after diseases become established. Removal strategies (e.g., hunting or culling) are used to control wildlife diseases across a wide range of systems, despite conflicting evidence of their effectiveness. This is especially true for chronic wasting disease (CWD), an untreatable, fatal prion disease threatening cervid populations across multiple countries, for which recreational harvest has been suggested as an important disease control strategy. Using observational data to evaluate whether harvest effectively limits CWD prevalence has been difficult because statistical relationships between harvest and disease prevalence can arise from a causal effect of harvest (i.e., harvest's impacts on prevalence via changes in transmission or demographic structure) or from a number of alternative mechanisms. For instance, correlations between harvest and disease prevalence can also be driven by disease's impacts on population size and harvest (i.e., reverse causality) or from confounding variables (e.g., habitat or geographic location) that impact both harvest rates and disease prevalence. We analyzed two decades of surveillance data (2000-2021) from 10 mule deer herds in Wyoming, using statistical approaches informed by causal inference theory, to test for the effects of harvest on CWD prevalence. Herds with consistently high harvest pressure across 20 years had significantly lower prevalence. Our models predicted that harvesting 40% of adult males per year across 20 years would maintain prevalence below 5% on average, whereas if only 20% of males were harvested in each year, prevalence would increase to >30% by year 20. Moreover, shifting the relative harvest pressure within a herd over a shorter period (3 years) reduced subsequent prevalence, albeit to a smaller degree. Although high harvest is unlikely to completely eradicate CWD, our analysis suggests that maintaining hunting pressure on adult males is an important tactic for slowing CWD epidemics within mule deer herds. Our study also provides guidance for future analyses of longitudinal surveillance data, including the importance of demographic data and appropriate time lags.

Indexed as

DeerHuntingWasting Disease, ChronicAnimalsAnimals, WildFemaleMaleTime FactorsWyomingcausal inferencechronic wasting disease (CWD)epidemiologyharvesthuntingmule deerprion diseasewildlife diseasewildlife management

Identifiers

PMID39835473
PMCPMC11748107

What OpenQuestion holds

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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 OpenQuestion graph.