Vaccinating SIS epidemics under evolving perception in heterogeneous networks,The European Physical Journal B

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Vaccinating SIS epidemics under evolving perception in heterogeneous networks
The European Physical Journal B ( IF 1.6 ) Pub Date : 2020-10-05 , DOI: 10.1140/epjb/e2020-10355-3
Xiao-Jie Li ₁ , Xiang Li _{1,

2,

3}

Affiliation

Abstract

Vaccination is an effective intervention against epidemics. Previous work has demonstrated that psychological cognition affects individual behavior. However, perceptual differences between individuals, as well as the dynamics of perceptual evolution, are not taken into account. In order to explore how these realistic characteristics of psychological cognition influence collective vaccination behavior, we propose a prospect theory based evolutionary vaccination game model, where the evolution of reference points is used to characterize changes in perception. We compare the fractions of vaccinated individuals and infected individuals under variable reference points with those under the expected utility theory and the fixed reference point, and highlight the role of evolving perception in promoting vaccination and contributing to epidemic control. We find that the epidemic size under variable reference point is always less than that under the expected utility theory. Finding that there exists a vaccination cost threshold for the cognitive effect, we develop a novel mixed-reference-point mechanism by combining individual psychological characteristics with network topological feature. The effectiveness of this mechanism in controlling the network epidemics is verified with numerical simulations. Compared with pure reference points, the mixed-reference-point mechanism can effectively reduce the final epidemic size, especially at a large vaccination cost.

Graphical abstract

中文翻译：

在异构网络中不断变化的感知下为 SIS 流行病接种疫苗

摘要

疫苗接种是对抗流行病的有效干预措施。以前的工作表明，心理认知会影响个人行为。然而，个体之间的感知差异以及感知进化的动态并未被考虑在内。为了探索心理认知的这些现实特征如何影响集体疫苗接种行为，我们提出了一种基于前景理论的进化疫苗接种博弈模型，其中参考点的进化用于表征感知的变化。我们比较了可变参考点与预期效用理论和固定参考点下的接种疫苗个体和感染个体的比例，并强调了不断发展的感知在促进疫苗接种和促进流行病控制中的作用。我们发现可变参考点下的流行病规模总是小于期望效用理论下的流行病规模。发现认知效应存在疫苗接种成本阈值，我们通过将个体心理特征与网络拓扑特征相结合，开发了一种新的混合参考点机制。通过数值模拟验证了该机制在控制网络流行病方面的有效性。与纯参考点相比，混合参考点机制可以有效降低最终流行病规模，尤其是在疫苗接种成本较高的情况下。我们通过将个体心理特征与网络拓扑特征相结合，开发了一种新的混合参考点机制。通过数值模拟验证了该机制在控制网络流行病方面的有效性。与纯参考点相比，混合参考点机制可以有效降低最终流行病规模，尤其是在疫苗接种成本较高的情况下。我们通过将个体心理特征与网络拓扑特征相结合，开发了一种新的混合参考点机制。通过数值模拟验证了该机制在控制网络流行病方面的有效性。与纯参考点相比，混合参考点机制可以有效降低最终流行病规模，尤其是在疫苗接种成本较高的情况下。

图形概要

更新日期：2020-10-02

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