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

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
ACS Applied Bio Materials Pub Date : 2023-12-01 Epub Date: 2024-01-12 DOI:10.1007/s10393-023-01669-0
Andrés M Urcuqui-Bustamante, Jessica E Leahy, Carly Sponarski, Allison M Gardner
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引用次数: 0

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.

Abstract Image

蜱传疾病社会生态系统的协作建模:概念框架。
在温带地区,硬体蜱已成为人们关注的一个主要问题,因为它们传播各种具有医学意义的病原体。蜱虫和病原体在一个复杂的社会生态系统(SES)中与宿主相互作用,影响人类对蜱传疾病(TBD)的接触。我们认为,要解决蜱传疾病对公共健康造成的紧迫威胁,就必须了解森林生态系统中影响蜱虫密度和感染率、蜱虫之间传播、动物宿主以及最终影响人类疾病流行的综合过程。我们认为,需要对人类-蜱虫 SES 进行合作建模,以了解系统动态,并将科学推向政策行动。最近的人类健康研究表明,利益相关者的参与对于了解导致人类接触人畜共患病的因素非常重要。我们讨论了如何通过合作建模来了解森林管理措施对蜱虫和结核病的影响。我们讨论了合作建模在鼓励不同利益相关者参与讨论在缺乏大规模控制政策的情况下管理森林蜱虫的影响方面的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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