Drivers of zoonotic spillover at human–domestic animal–wildlife interfaces: a multi-species model incorporating wildlife chronic stress

Abstract Zoonotic disease emergence at the wildlife–domestic animal–human interface results from a complex interplay of ecological, physiological and anthropogenic factors. Here, we have developed a multi-environment, multi-host compartmental model to identify key drivers of spillover risk across urban, rural and natural environments. The framework incorporates heterogeneous host populations, inter-species contacts and host movement, and includes wildlife chronic stress as one factor influencing susceptibility, transmissibility and recovery. Sensitivity analyses show that domestic animal populations at agricultural interfaces strongly amplify spillover risk through their recovery dynamics and per-contact transmission probabilities, while within-wildlife transmission across environments also shapes system dynamics. Chronic stress effects can further increase spillover risk, and the model indicates that reducing wildlife stress alongside improving domestic animal health and management can markedly lower the likelihood of cross-species transmission. These findings highlight the importance of maintaining ecological conditions that reduce chronic physiological stress in wildlife populations and integrating physiological and ecological data into epidemiological modelling. Such models can inform both bottom-up interventions targeting domestic animals and top-down strategies that sustain resilient wildlife communities and, thereby, mitigate zoonotic spillover.

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Publication Details

Journal
Royal Society Open Science
Published
2026-11-04
DOI
https://doi.org/10.1098/rsos.260184
Primary Topic
Zoonotic diseases and public health
Type
article
Field-Weighted Citation Impact
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article

Drivers of zoonotic spillover at human–domestic animal–wildlife interfaces: a multi-species model incorporating wildlife chronic stress

Åke Brännström, Alex David Greenwood, Kyrre Kausrud, Erin Stafford et al.
Royal Society Open Science
Zoonotic diseases and public health
article

Drivers of zoonotic spillover at human–domestic animal–wildlife interfaces: a multi-species model incorporating wildlife chronic stress

Åke Brännström, Alex David Greenwood, Kyrre Kausrud, Erin Stafford, Henrik Sjödin, Peter Fransson, Junwen Guo
article en

Abstract

Abstract Zoonotic disease emergence at the wildlife–domestic animal–human interface results from a complex interplay of ecological, physiological and anthropogenic factors. Here, we have developed a multi-environment, multi-host compartmental model to identify key drivers of spillover risk across urban, rural and natural environments. The framework incorporates heterogeneous host populations, inter-species contacts and host movement, and includes wildlife chronic stress as one factor influencing susceptibility, transmissibility and recovery. Sensitivity analyses show that domestic animal populations at agricultural interfaces strongly amplify spillover risk through their recovery dynamics and per-contact transmission probabilities, while within-wildlife transmission across environments also shapes system dynamics. Chronic stress effects can further increase spillover risk, and the model indicates that reducing wildlife stress alongside improving domestic animal health and management can markedly lower the likelihood of cross-species transmission. These findings highlight the importance of maintaining ecological conditions that reduce chronic physiological stress in wildlife populations and integrating physiological and ecological data into epidemiological modelling. Such models can inform both bottom-up interventions targeting domestic animals and top-down strategies that sustain resilient wildlife communities and, thereby, mitigate zoonotic spillover.

Royal Society Open ScienceVol. 13(11)
International Institute for Applied Systems Analysis (AT), Okinawa Institute of Science and Technology Graduate University (JP), Heidelberg University (DE), Swedish University of Agricultural Sciences (SE), University of Warwick (GB), Västerbotten County (SE), Leibniz Institute for Zoo and Wildlife Research (DE), Norwegian Veterinary Institute (NO), Freie Universität Berlin (DE), Umeå University (SE)
Openalex Percentile: Top 12%
Zoonotic diseases and public health
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