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健康观点之间的竞争对疫情动态的影响。

The effect of competition between health opinions on epidemic dynamics.

作者信息

Teslya Alexandra, Nunner Hendrik, Buskens Vincent, Kretzschmar Mirjam E

机构信息

Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CX Utrecht, The Netherlands.

Department of Sociology/ICS, Utrecht University, Padualaan 14, 3584 CH Utrecht, The Netherlands.

出版信息

PNAS Nexus. 2022 Nov 16;1(5):pgac260. doi: 10.1093/pnasnexus/pgac260. eCollection 2022 Nov.

Abstract

Past major epidemic events showed that when an infectious disease is perceived to cause severe health outcomes, individuals modify health behavior affecting epidemic dynamics. To investigate the effect of this feedback relationship on epidemic dynamics, we developed a compartmental model that couples a disease spread framework with competition of two mutually exclusive health opinions (health-positive and health-neutral) associated with different health behaviors. The model is based on the assumption that individuals switch health opinions as a result of exposure to opinions of others through interpersonal communications. To model opinion switch rates, we considered a family of functions and identified the ones that allow health opinions to coexist. Finally, the model includes assortative mixing by opinions. In the disease-free population, either the opinions cannot coexist and one of them is always dominating (mono-opinion equilibrium) or there is at least one stable coexistence of opinions equilibrium. In the latter case, there is multistability between the coexistence equilibrium and the two mono-opinion equilibria. When two opinions coexist, it depends on their distribution whether the infection can invade. If presence of the infection leads to increased switching to a health-positive opinion, the epidemic burden becomes smaller than indicated by the basic reproduction number. Additionally, a feedback between epidemic dynamics and health opinion dynamics may result in (sustained) oscillatory dynamics and a switch to a different stable opinion distribution. Our model captures feedback between spread of awareness through social interactions and infection dynamics and can serve as a basis for more elaborate individual-based models.

摘要

过去的重大疫情事件表明,当一种传染病被认为会导致严重的健康后果时,个人会改变健康行为,从而影响疫情动态。为了研究这种反馈关系对疫情动态的影响,我们开发了一个 compartmental 模型,该模型将疾病传播框架与与不同健康行为相关的两种相互排斥的健康观点(健康积极和健康中立)的竞争相结合。该模型基于这样的假设,即个体由于通过人际交流接触到他人的观点而改变健康观点。为了模拟观点转换率,我们考虑了一系列函数,并确定了那些允许健康观点共存的函数。最后,该模型包括按观点的分类混合。在无病群体中,要么观点不能共存,其中一种观点总是占主导地位(单观点平衡),要么至少存在一种观点共存的稳定平衡。在后一种情况下,共存平衡与两个单观点平衡之间存在多重稳定性。当两种观点共存时,感染是否能够入侵取决于它们的分布情况。如果感染的存在导致向健康积极观点的转换增加,那么疫情负担将小于基本再生数所表明的负担。此外,疫情动态与健康观点动态之间的反馈可能会导致(持续的)振荡动态以及向不同稳定观点分布的转变。我们的模型捕捉了通过社会互动传播的认知与感染动态之间的反馈,并且可以作为更精细的基于个体的模型的基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ce2/9802282/3b50d036c246/pgac260fig1.jpg

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