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Collaborative Modeling of the Tick-Borne Disease Social-Ecological System: A Conceptual Framework

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Abstract

Hard-bodied ticks have become a major concern in temperate regions because they transmit a variety of pathogens of medical significance. Ticks and pathogens interact with hosts in a complex social-ecological system (SES) that influences human exposure to tick-borne diseases (TBD). We argue that addressing the urgent public health threat posed by TBD requires an understanding of the integrated processes in the forest ecosystem that influence tick density and infection prevalence, transmission among ticks, animal hosts, and ultimately disease prevalence in humans. We argue that collaborative modeling of the human-tick SES is required to understand the system dynamics as well as move science toward policy action. Recent studies in human health have shown the importance of stakeholder participation in understanding the factors that contribute to human exposure to zoonotic diseases. We discuss how collaborative modeling can be applied to understand the impacts of forest management practices on ticks and TBD. We discuss the potential of collaborative modeling for encouraging participation of diverse stakeholders in discussing the implications of managing forest ticks in the absence of large-scale control policy.

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Acknowledgements

This study was supported by a USDA National Institute of Food and Agriculture grant (No. ME012450318) and two Maine Agricultural and Forest Experiment Station projects (No. ME021826 and ME021905).

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  1. School of Forest Resources, University of Maine, 105 Nutting Hall, Orono, ME, USA

    Andrés M. Urcuqui-Bustamante & Jessica E. Leahy

  2. Northern Forestry Centre, Canadian Forest Service, Edmonton, AB, Canada

    Carly Sponarski

  3. School of Biology and Ecology, University of Maine, Orono, ME, USA

    Allison M. Gardner

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Urcuqui-Bustamante, A.M., Leahy, J.E., Sponarski, C. et al. Collaborative Modeling of the Tick-Borne Disease Social-Ecological System: A Conceptual Framework. EcoHealth 20, 453–467 (2023). https://doi.org/10.1007/s10393-023-01669-0

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