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Modelling the epidemiology of zoonotic parasites transmitted through a predator-prey system in urban landscapes: The Calgary Echinococcus multilocularis Coyote Agent-based model (CEmCA)

Author

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  • Mori, Kensuke
  • Massolo, Alessandro
  • Marceau, Danielle
  • Stefanakis, Emmanuel

Abstract

Traditional epidemiological models for managing disease risk face serious hurdles when applied to complex life-cycle parasites that involve several host species. Echinococcus multilocularis (Em) is such a parasite and the aetiological agent of a serious zoonosis, Alveolar Echinococcosis, affecting thousands of people every year worldwide. The parasite is transmitted through predation of infectious intermediate hosts (rodents) by definitive hosts (foxes, coyotes). Definitive hosts are usually territorial with individual home ranges in spatially heterogeneous urban landscapes, where they carry very diverse parasite load, thus creating a highly heterogeneous distribution of the parasite in the urban environment. To incorporate individual differences and spatial heterogeneity into an epidemiological model, we developed Calgary Echinococcus multilocularis Coyote Agent-based model (CEmCA).

Suggested Citation

  • Mori, Kensuke & Massolo, Alessandro & Marceau, Danielle & Stefanakis, Emmanuel, 2023. "Modelling the epidemiology of zoonotic parasites transmitted through a predator-prey system in urban landscapes: The Calgary Echinococcus multilocularis Coyote Agent-based model (CEmCA)," Ecological Modelling, Elsevier, vol. 475(C).
    • Handle: RePEc:eee:ecomod:v:475:y:2023:i:c:s0304380022002782
    DOI: 10.1016/j.ecolmodel.2022.110177
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    References listed on IDEAS

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    1. Conner, Mary M. & Ebinger, Michael R. & Knowlton, Frederick F., 2008. "Evaluating coyote management strategies using a spatially explicit, individual-based, socially structured population model," Ecological Modelling, Elsevier, vol. 219(1), pages 234-247.
    2. Volker Grimm & Steven F. Railsback & Christian E. Vincenot & Uta Berger & Cara Gallagher & Donald L. DeAngelis & Bruce Edmonds & Jiaqi Ge & Jarl Giske & Jürgen Groeneveld & Alice S.A. Johnston & Alex, 2020. "The ODD Protocol for Describing Agent-Based and Other Simulation Models: A Second Update to Improve Clarity, Replication, and Structural Realism," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 23(2), pages 1-7.
    3. Maureen H. Murray & Colleen Cassady St. Clair, 2015. "Individual flexibility in nocturnal activity reduces risk of road mortality for an urban carnivore," Behavioral Ecology, International Society for Behavioral Ecology, vol. 26(6), pages 1520-1527.
    4. Grimm, Volker & Berger, Uta & DeAngelis, Donald L. & Polhill, J. Gary & Giske, Jarl & Railsback, Steven F., 2010. "The ODD protocol: A review and first update," Ecological Modelling, Elsevier, vol. 221(23), pages 2760-2768.
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