Evidence map›Paper›PMID 37621318›Full record

ArticleEcology and evolution2023

The heterogeneous herd: Drivers of close-contact variation in African buffalo and implications for pathogen invasion.

Julie Rushmore, Brianna R Beechler, Hannah Tavalire, Erin E Gorsich, Bryan Charleston, Anne Devan-Song, Caroline K Glidden, Anna E Jolles

Open access · goldAbstract read
In one paragraph

Article in Ecology and evolution, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 2 institutions in 2 countries.

Julie RushmoreCarlson College of Veterinary Medicine Oregon State University Corvallis Oregon USA.ORCID https://orcid.org/0000-0002-2682-6893
Brianna R BeechlerCarlson College of Veterinary Medicine Oregon State University Corvallis Oregon USA.
Hannah TavalireDepartment of Integrative Biology Oregon State University Corvallis Oregon USA.ORCID https://orcid.org/0000-0002-5235-0008
Erin E GorsichDepartment of Integrative Biology Oregon State University Corvallis Oregon USA.
Bryan CharlestonThe Pirbright Institute Guildford UK.
Anne Devan-SongDepartment of Integrative Biology Oregon State University Corvallis Oregon USA.
Caroline K GliddenDepartment of Integrative Biology Oregon State University Corvallis Oregon USA.
Anna E JollesCarlson College of Veterinary Medicine Oregon State University Corvallis Oregon USA.
Oregon State University · USThe Pirbright Institute · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many infectious pathogens are shared through social interactions, and examining host connectivity has offered valuable insights for understanding patterns of pathogen transmission across wildlife species. African buffalo are social ungulates and important reservoirs of directly-transmitted pathogens that impact numerous wildlife and livestock species. Here, we analyzed African buffalo social networks to quantify variation in close contacts, examined drivers of contact heterogeneity, and investigated how the observed contact patterns affect pathogen invasion likelihoods for a wild social ungulate. We collected continuous association data using proximity collars and sampled host traits approximately every 2 months during a 15-month study period in Kruger National Park, South Africa. Although the observed herd was well connected, with most individuals contacting each other during each bimonthly interval, our analyses revealed striking heterogeneity in close-contact associations among herd members. Network analysis showed that individual connectivity was stable over time and that individual age, sex, reproductive status, and pairwise genetic relatedness were important predictors of buffalo connectivity. Calves were the most connected members of the herd, and adult males were the least connected. These findings highlight the role susceptible calves may play in the transmission of pathogens within the herd. We also demonstrate that, at time scales relevant to infectious pathogens found in nature, the observed level of connectivity affects pathogen invasion likelihoods for a wide range of infectious periods and transmissibilities. Ultimately, our study identifies key predictors of social connectivity in a social ungulate and illustrates how contact heterogeneity, even within a highly connected herd, can shape pathogen invasion likelihoods.

Indexed as

biological traitindividual reproduction numberproximity logging collarsocial network analysisSyncerus caffer

Identifiers

PMID37621318
PMCPMC10445036
OpenAlexW4386093956

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.