Evidence map›Paper›PMID 39230447›Full record

ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2024

The influence of social and spatial processes on the epidemiology of environmentally transmitted pathogens in wildlife: implications for management.

Aakash Pandey, Chris Wojan, Abigail Feuka, Meggan E Craft, Kezia Manlove, Kim M Pepin

Abstract read
In one paragraph

Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Expanding theory, methodology and empirical systems at the spatial-social interface.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
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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.

Aakash PandeyDepartment of Fisheries and Wildlife, Michigan State University , East Lansing, MI 48824, USA.ORCID 0000-0001-7935-8192
Chris WojanDepartment of Ecology, Evolution, and Behavior, University of Minnesota, Saint Paul , MN 55108, USA.
Abigail FeukaNational Wildlife Research Center, USDA-APHIS, Fort Collins, CO 80521, USA.
Meggan E CraftDepartment of Ecology, Evolution, and Behavior, University of Minnesota, Saint Paul , MN 55108, USA.
Kezia ManloveDepartment of Wildland Resources and Ecology Center, Utah State University, 5200 Old Main Hill , Logan, UT 84322, USA.ORCID 0000-0002-7200-5236
Kim M PepinNational Wildlife Research Center, USDA-APHIS, Fort Collins, CO 80521, USA.ORCID 0000-0002-9931-8312

Funding

National Wildlife Research Center
6 · The paper itself

Abstract

Social and spatial structures of host populations play important roles in pathogen transmission. For environmentally transmitted pathogens, the host space use interacts with both the host social structure and the pathogen's environmental persistence (which determines the time-lag across which two hosts can transmit). Together, these factors shape the epidemiological dynamics of environmentally transmitted pathogens. While the importance of both social and spatial structures and environmental pathogen persistence has long been recognized in epidemiology, they are often considered separately. A better understanding of how these factors interact to determine disease dynamics is required for developing robust surveillance and management strategies. Here, we use a simple agent-based model where we vary host mobility (spatial), host gregariousness (social) and pathogen decay (environmental persistence), each from low to high levels to uncover how they affect epidemiological dynamics. By comparing epidemic peak, time to epidemic peak and final epidemic size, we show that longer infectious periods, higher group mobility, larger group size and longer pathogen persistence lead to larger, faster growing outbreaks, and explore how these processes interact to determine epidemiological outcomes such as the epidemic peak and the final epidemic size. We identify general principles that can be used for planning surveillance and control for wildlife host-pathogen systems with environmental transmission across a range of spatial behaviour, social structure and pathogen decay rates. This article is part of the theme issue 'The spatial-social interface: a theoretical and empirical integration'.

Indexed as

Animals, WildAnimalsHost-Pathogen InteractionsModels, BiologicalSocial Behaviorenvironmental transmissionepidemiologyhost movementpathogen dynamicssocial structurespatial structure

Identifiers

PMID39230447
PMCPMC11449208

What OpenQuestion holds

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LicenceCC BY
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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.