Evidence map›Paper›PMID 28609437›Full record

ArticlePloS one2017

Shifting brucellosis risk in livestock coincides with spreading seroprevalence in elk.

Angela Brennan, Paul C Cross, Katie Portacci, Brandon M Scurlock, William H Edwards

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 9% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Confronting models with data: the challenges of estimating disease spillover.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Review
  11. Article
  12. Winter feeding of elk in the Greater Yellowstone Ecosystem and its effects on disease dynamics.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018
    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

5 authors at 4 institutions in 1 country.

Angela BrennanWyoming Cooperative Fish and Wildlife Research Unit, Department of Zoology and Physiology, University of Wyoming, Laramie, Wyoming, United States of America.
Paul C CrossU.S. Geological Survey, Northern Rocky Mountain Science Center, Bozeman, Montana, United States of America.
Katie PortacciU.S. Department of Agriculture, Animal and Plant Health Inspection Service-Centers for Epidemiology and Animal Health, Fort Collins, Colorado, United States of America.
Brandon M ScurlockWyoming Game and Fish Department, Pinedale, Wyoming, United States of America.
William H EdwardsWyoming Game and Fish Department, Laramie, Wyoming, United States of America.
Wyoming Game and Fish Department · USAnimal and Plant Health Inspection Service · USUnited States Geological Survey · USUniversity of Wyoming · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tracking and preventing the spillover of disease from wildlife to livestock can be difficult when rare outbreaks occur across large landscapes. In these cases, broad scale ecological studies could help identify risk factors and patterns of risk to inform management and reduce incidence of disease. Between 2002 and 2014, 21 livestock herds in the Greater Yellowstone Area (GYA) were affected by brucellosis, a bacterial disease caused by Brucella abortus, while no affected herds were detected between 1990 and 2001. Using a Bayesian analysis, we examined several ecological covariates that may be associated with affected livestock herds across the region. We showed that livestock risk has been increasing over time and expanding outward from the historical nexus of brucellosis in wild elk on Wyoming's feeding grounds where elk are supplementally fed during the winter. Although elk were the presumed source of cattle infections, occurrences of affected livestock herds were only weakly associated with the density of seropositive elk across the GYA. However, the shift in livestock risk did coincide with recent increases in brucellosis seroprevalence in unfed elk populations. As increasing brucellosis in unfed elk likely stemmed from high levels of the disease in fed elk, disease-related costs of feeding elk have probably been incurred across the entire GYA, rather than solely around the feeding grounds. Our results suggest that focused disease mitigation in areas where seroprevalence in unfed elk is high could reduce the spillover of brucellosis to livestock. We also highlight the need to better understand the epidemiology of spillover events with detailed histories of disease testing, calving, and movement of infected livestock. Finally, we recommend using case-control studies to investigate local factors important to livestock risk.

Indexed as

AnimalsAnimals, WildBayes TheoremBisonBrucella abortusBrucellosisCattleDeerDisease OutbreaksGeographyHost-Pathogen InteractionsIdahoIncidenceLivestockModels, TheoreticalMontana

Identifiers

PMID28609437
PMCPMC5469469
OpenAlexW2624982409

What OpenQuestion holds

Textmetadata
LicenceCC0
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.