Optimal strategies for vaccination and social distancing in a game-theoretic epidemiologic model

被引:37
|
作者
Choi, Wongyeong [1 ]
Shim, Eunha [1 ]
机构
[1] Soongsil Univ, Dept Math, 369 Sangdoro, Seoul 06978, South Korea
基金
新加坡国家研究基金会;
关键词
Infectious disease; Game theory; Nash; Vaccine; Social-distancing; SELF-INTEREST; INFLUENZA; EQUILIBRIA; COVID-19; BEHAVIOR; DISEASE; SARS;
D O I
10.1016/j.jtbi.2020.110422
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
For various infectious diseases, vaccination has become a major intervention strategy. However, the importance of social distancing has recently been highlighted during the ongoing COVID-19 pandemic. In the absence of vaccination, or when vaccine efficacy is poor, social distancing may help to curb the spread of new virus strains. However, both vaccination and social distancing are associated with various costs. It is critical to consider these costs in addition to the benefits of these strategies when determining the optimal rates of application of control strategies. We developed a game-theoretic epidemiological model that considers vaccination and social distancing under the assumption that individuals pursue the maximization of payoffs. By using this model, we identified the individually optimal strategy based on the Nash strategy when both strategies are available and when only one strategy is available. Furthermore, we determined the relative costs of control strategies at which individuals preferentially adopt vaccination over social distancing (or vice versa). (C) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页数:12
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