Evidence map›Paper›PMID 28317104›Full record

ArticleThe Journal of animal ecology2017

Contact and contagion: Probability of transmission given contact varies with demographic state in bighorn sheep.

Kezia R Manlove, E Frances Cassirer, Raina K Plowright, Paul C Cross, Peter J Hudson

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of animal ecology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

14 citing papers in PubMed, 33 citations in OpenAlex.

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  12. Dose-response and transmission: the nexus between reservoir hosts, environment and recipient hosts.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Review
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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

5 authors at 4 institutions in 1 country.

Kezia R ManloveDepartment of Biology, Center for Infectious Disease Dynamics, Pennsylvania State University, 208 Mueller Labs, University Park, PA, 16802, USA.ORCID 0000-0002-7200-5236
E Frances CassirerIdaho Department of Fish and Game, 3316 16th St., Lewiston, ID, 83501, USA.
Raina K PlowrightDepartment of Microbiology and Immunology, Montana State University, PO Box 173520, Bozeman, MT, 59717, USA.
Paul C CrossU.S. Geological Survey, Northern Rocky Mountain Research Center, 2327 University Way Ste. 2, Bozeman, MT, 59715, USA.
Peter J HudsonDepartment of Biology, Center for Infectious Disease Dynamics, Pennsylvania State University, 208 Mueller Labs, University Park, PA, 16802, USA.
Pennsylvania State University · USIdaho Department of Fish and Game · USMontana State University · USUnited States Geological Survey · US

Funding

Research Core (Developmental Research Project Program)P20GM103474 · NIGMS · MONTANA STATE UNIVERSITY - BOZEMAN · PI Jeffrey Good · 2012 to 2026
$60.0M
Pilot Grants ProgramP30GM110732 · NIGMS · MONTANA STATE UNIVERSITY - BOZEMAN · PI QUINN, MARK T · 2014 to 2018
$5.4M
NIGMS NIH HHS P20 GM103474NIGMS NIH HHS P30 GM110732
6 · The paper itself

Abstract

Understanding both contact and probability of transmission given contact are key to managing wildlife disease. However, wildlife disease research tends to focus on contact heterogeneity, in part because the probability of transmission given contact is notoriously difficult to measure. Here, we present a first step towards empirically investigating the probability of transmission given contact in free-ranging wildlife. We used measured contact networks to test whether bighorn sheep demographic states vary systematically in infectiousness or susceptibility to Mycoplasma ovipneumoniae, an agent responsible for bighorn sheep pneumonia. We built covariates using contact network metrics, demographic information and infection status, and used logistic regression to relate those covariates to lamb survival. The covariate set contained degree, a classic network metric describing node centrality, but also included covariates breaking the network metrics into subsets that differentiated between contacts with yearlings, ewes with lambs, and ewes without lambs, and animals with and without active infections. Yearlings, ewes with lambs, and ewes without lambs showed similar group membership patterns, but direct interactions involving touch occurred at a rate two orders of magnitude higher between lambs and reproductive ewes than between any classes of adults or yearlings, and one order of magnitude higher than direct interactions between multiple lambs. Although yearlings and non-reproductive bighorn ewes regularly carried M. ovipneumoniae, our models suggest that a contact with an infected reproductive ewe had approximately five times the odds of producing a lamb mortality event of an identical contact with an infected dry ewe or yearling. Consequently, management actions targeting infected animals might lead to unnecessary removal of young animals that carry pathogens but rarely transmit. This analysis demonstrates a simple logistic regression approach for testing a priori hypotheses about variation in the odds of transmission given contact for free-ranging hosts, and may be broadly applicable for investigations in wildlife disease ecology.

Indexed as

AnimalsFemaleMaleMycoplasma ovipneumoniaePneumonia, MycoplasmaPopulation DynamicsProbabilitySheepSheep, BighornSheep Diseasesbighorn sheepdisease ecologyforce of infectionMycoplasma ovipneumoniaepathogen transmissionprobability of transmission given contactsocial networkwildlife disease

Identifiers

PMID28317104
PMCPMC5776036
OpenAlexW2599287498

What OpenQuestion holds

Textmetadata
LicenceTDM
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.