THE EFFECTIVENESS OF HUMAN INTERVENTIONS AGAINST COVID-19 BASED ON EVOLUTIONARY GAME THEORY

Susu Jia, Xinzhu Meng, Tonghua Zhang
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Abstract

Social distancing strategy (including Six-Foot Rule, wearing masks, and other easy-to-operate measures) and quarantine measures have played a critical role in the early stage of the COVID-19 epidemic. In order to explore the mechanisms of these two human interventions accurately, we develop a coupling epidemiological-behavioral model based on evolutionary game the-ory. Individuals decide whether to take strategy measures based on rational consideration of payoffs. Moreover, authorities also balance the costs and effectiveness of the interventions at the public level. Our simulation shows that social distancing strategy can suppress every single outbreak effectively. In the early stage of an epidemic, the implementation of the quarantine measures determines the scale of the epidemic. Timely and effective quarantine measures can control recurrent outbreaks without social lockdown. Support policy for individual-level intervention or high diagnosis rates are beneficial to control the epidemic but require long-term social lockdown. © 2022, Wilmington Scientific Publisher. All rights reserved.
基于进化博弈论的COVID-19人类干预的有效性
社会距离策略(包括六英尺规则、戴口罩等易于操作的措施)和隔离措施在新冠肺炎疫情早期发挥了关键作用。为了准确地探索这两种人为干预的机制,我们建立了一个基于进化博弈理论的耦合流行病学-行为模型。个体根据对收益的理性考虑来决定是否采取战略措施。此外,当局还在公共层面平衡干预措施的成本和效果。我们的模拟表明,社交距离策略可以有效地抑制每一次爆发。在疫情的早期阶段,隔离措施的实施决定了疫情的规模。及时有效的隔离措施可以在不封锁社会的情况下控制疫情的复发。支持个人干预或高诊断率的政策有利于控制疫情,但需要长期的社会封锁。©2022,威尔明顿科学出版社。版权所有。
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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