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疫情期间的适应性行为:一种用于建模动态的社会风险评估方法。

Adaptive behaviour during epidemics: a social risk appraisal approach to modelling dynamics.

作者信息

O'Gara David, Kasman Matt, Hébert-Dufresne Laurent, Hammond Ross A

机构信息

Division of Computational and Data Sciences, Washington University in St Louis, One Brookings Drive, St Louis, MO 63105, USA.

Center on Social Dynamics and Policy, Brookings Institution, 1775 Massachusetts Avenue NW, Washington, DC 20036, USA.

出版信息

J R Soc Interface. 2025 Jan;22(222):20240363. doi: 10.1098/rsif.2024.0363. Epub 2025 Jan 15.

Abstract

The interaction of infectious diseases and behavioural responses to them has been the subject of widespread study. However, limited attention has been given to how broader social context shapes behavioural response. In this work, we propose a novel framework which combines two well-studied dynamic processes into a 'social risk appraisal' mechanism. Our proposed framework has both theoretical and empirical support, occupying an important middle ground in the interacting contagions literature. Results indicate that a risk appraisal framework can express a wide range of epidemic outcomes, driven by simple interaction rules. This framework has implications for designing containment strategies in disease outbreaks, as well as equity considerations. Finally, the risk appraisal approach is well-posed to engage with a broad set of literature in epidemic management, decision-making and the adoption of social behaviours.

摘要

传染病与针对传染病的行为反应之间的相互作用一直是广泛研究的主题。然而,对于更广泛的社会背景如何塑造行为反应,人们关注较少。在这项工作中,我们提出了一个新颖的框架,该框架将两个经过充分研究的动态过程整合到一个“社会风险评估”机制中。我们提出的框架既有理论支持,也有实证支持,在相互作用的传染病文献中占据重要的中间立场。结果表明,一个风险评估框架可以通过简单的相互作用规则来表达广泛的疫情结果。该框架对于设计疾病爆发时的遏制策略以及公平性考量具有启示意义。最后,风险评估方法很适合与传染病管理、决策制定和社会行为采纳等广泛的文献进行结合。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35fd/11732433/0b317b94c7bf/rsif.2024.0363.f001.jpg

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