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整合疾病模型综述及议程,包括社会和行为因素。

A review and agenda for integrated disease models including social and behavioural factors.

机构信息

Independent Consultant, Seattle, WA, USA.

Institute for Disease Modeling, Global Health, Bill & Melinda Gates Foundation, Seattle, WA, USA.

出版信息

Nat Hum Behav. 2021 Jul;5(7):834-846. doi: 10.1038/s41562-021-01136-2. Epub 2021 Jun 28.

DOI:10.1038/s41562-021-01136-2
PMID:34183799
Abstract

Social and behavioural factors are critical to the emergence, spread and containment of human disease, and are key determinants of the course, duration and outcomes of disease outbreaks. Recent epidemics of Ebola in West Africa and coronavirus disease 2019 (COVID-19) globally have reinforced the importance of developing infectious disease models that better integrate social and behavioural dynamics and theories. Meanwhile, the growth in capacity, coordination and prioritization of social science research and of risk communication and community engagement (RCCE) practice within the current pandemic response provides an opportunity for collaboration among epidemiological modellers, social scientists and RCCE practitioners towards a mutually beneficial research and practice agenda. Here, we provide a review of the current modelling methodologies and describe the challenges and opportunities for integrating them with social science research and RCCE practice. Finally, we set out an agenda for advancing transdisciplinary collaboration for integrated disease modelling and for more robust policy and practice for reducing disease transmission.

摘要

社会和行为因素对于人类疾病的出现、传播和控制至关重要,是疾病爆发的过程、持续时间和结果的关键决定因素。最近西非的埃博拉疫情和全球的 2019 冠状病毒病(COVID-19)疫情凸显了开发更好地整合社会和行为动态及理论的传染病模型的重要性。与此同时,在当前大流行应对中,社会科学研究以及风险沟通和社区参与(RCCE)实践的能力、协调和优先级都有所提高,为流行病学建模者、社会科学家和 RCCE 实践者之间的合作提供了机会,以实现互惠互利的研究和实践议程。在这里,我们回顾了当前的建模方法,并描述了将其与社会科学研究和 RCCE 实践相结合的挑战和机遇。最后,我们为推进传染病综合建模的跨学科合作以及制定更有力的减少疾病传播的政策和实践制定了议程。

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