A general framework for modeling pathogen transmission in co‐roosting host communities

Cross-species transmission of pathogens can be facilitated by frequent contact among wildlife. Cross-species transmission is often driven by phylogenetic similarity between host species, but the role this plays when multiple host species co-roost is unknown. We developed a generalizable framework for understanding how cross-species transmission is driven by contact among co-roosting species spanning evolutionary similarities and the net impact on roost-level infection prevalence. We developed ordinary differential equation models describing population and infection dynamics between two and three co-roosting species. We derived conditions for pathogen invasion and parameterized models using co-roosting Neotropical bat systems, with interspecific transmission exponentially declining with phylogenetic distance. To assess the relative contribution of contact rates and phylogenetic similarity, we co-varied intraspecific transmission rates and phylogenetic distances while considering sensitivity to epidemiological structure and pathogen traits. For both susceptible-infected-recovered-susceptible and susceptible-infected-latent-infected models, we show that relatedness between co-roosting hosts facilitates pathogen invasion, particularly for poorly transmissible pathogens with short durations of infection and immunity or latency. These models converged on similar equilibria, and roost-level prevalence was greatest when hosts were most closely related. However, we also identified regions of parameter space where roost-level prevalence increased when hosts were distantly related. Our generalizable models are adaptable to other co-roosting systems with low-virulence pathogens that are directly transmitted and inform our understanding of pathogen spillover.

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Publication Details

Journal
Ecology
Published
2026-02-01
DOI
https://doi.org/10.1002/ecy.70326
Primary Topic
Bat Biology and Ecology Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

A general framework for modeling pathogen transmission in co‐roosting host communities

Molly C. Simonis, Daniel J. Becker
Ecology
Bat Biology and Ecology Studies
article

A general framework for modeling pathogen transmission in co‐roosting host communities

Molly C. Simonis, Daniel J. Becker
article en

Abstract

Cross-species transmission of pathogens can be facilitated by frequent contact among wildlife. Cross-species transmission is often driven by phylogenetic similarity between host species, but the role this plays when multiple host species co-roost is unknown. We developed a generalizable framework for understanding how cross-species transmission is driven by contact among co-roosting species spanning evolutionary similarities and the net impact on roost-level infection prevalence. We developed ordinary differential equation models describing population and infection dynamics between two and three co-roosting species. We derived conditions for pathogen invasion and parameterized models using co-roosting Neotropical bat systems, with interspecific transmission exponentially declining with phylogenetic distance. To assess the relative contribution of contact rates and phylogenetic similarity, we co-varied intraspecific transmission rates and phylogenetic distances while considering sensitivity to epidemiological structure and pathogen traits. For both susceptible-infected-recovered-susceptible and susceptible-infected-latent-infected models, we show that relatedness between co-roosting hosts facilitates pathogen invasion, particularly for poorly transmissible pathogens with short durations of infection and immunity or latency. These models converged on similar equilibria, and roost-level prevalence was greatest when hosts were most closely related. However, we also identified regions of parameter space where roost-level prevalence increased when hosts were distantly related. Our generalizable models are adaptable to other co-roosting systems with low-virulence pathogens that are directly transmitted and inform our understanding of pathogen spillover.

EcologyVol. 107(2)
Auburn University (US), University of Oklahoma (US)
U.S. Department of Energy, Office of the Director of National Intelligence, Oak Ridge Institute for Science and Education
Life in Land
Openalex Percentile: Top 62%
Bat Biology and Ecology Studies
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A general framework for modeling pathogen transmission in co‐roosting host communities — Molly C. Simonis, Daniel J. Becker · Ecology (2026) | TGRS Research Map | TGRS