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Collaborative Modeling of the Tick-Borne Disease Social-Ecological System: A Conceptual Framework
Andrés M Urcuqui-Bustamante1, Jessica E Leahy2, Carly Sponarski3
1School of Forest Resources, University of Maine, 105 Nutting Hall, Orono, ME, USA. andres.urcuqui@maine.edu.
Ecohealth
|January 12, 2024
Summary
Understanding the complex forest ecosystem is crucial for managing tick-borne diseases (TBD). Collaborative modeling of the human-tick social-ecological system (SES) can inform policy and forest management to reduce TBD risks.
Area of Science:
- Ecology
- Public Health
- Environmental Science
Background:
- Hard-bodied ticks in temperate regions transmit significant pathogens, posing a major public health concern.
- Human exposure to tick-borne diseases (TBD) is influenced by complex interactions within social-ecological systems (SES).
- Forest ecosystems play a critical role in tick density, pathogen infection, and disease transmission dynamics.
Purpose of the Study:
- To highlight the need for understanding integrated forest ecosystem processes influencing TBD.
- To advocate for collaborative modeling of the human-tick SES to inform policy and action.
- To explore the application of collaborative modeling in assessing forest management impacts on ticks and TBD.
Main Methods:
- Reviewing recent studies on stakeholder participation in zoonotic disease exposure.
- Proposing collaborative modeling as a framework for analyzing human-tick SES dynamics.
- Discussing the potential of collaborative modeling for engaging diverse stakeholders in tick management discussions.
Main Results:
- TBD presents an urgent public health threat requiring integrated ecological understanding.
- Collaborative modeling is essential for understanding system dynamics and bridging science-policy gaps.
- Stakeholder participation is vital for comprehending factors contributing to human exposure to zoonotic diseases.
Conclusions:
- Addressing TBD necessitates a holistic understanding of forest ecosystems and human interactions.
- Collaborative modeling offers a promising approach for managing forest ticks and mitigating TBD risks.
- Engaging diverse stakeholders through collaborative modeling can inform forest management decisions in the absence of broad control policies.
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