SIR Evolutionary Simulation Model of the Infectious Disease Emergency

Fan Yang, Jian Zhang
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引用次数: 1

Abstract

A SIR (susceptible - infected - recovered) evolutionary game and multi-agents simulation model of the infectious disease emergency is proposed. The two types of parties of the game are the government sectors and the public and the interaction between strategies and states of the public is taken into consideration in the model. It includes three types of states of the public, susceptible (S), infected (I) and recovered (R) states and the states could be switched from each other. At the same time, the evolutionary game is done between I individuals in the public and government sectors. From the simulation of the multi-agents model, the results is shown that the public all adopt the mobility strategy eventually, the supervision strength of the government sectors is 0 after the strength is fluctuated in a low level under the trigger strategy and with the emergency from the outbreak to the decline, the state of all the public ultimately become into R state.
传染病突发事件SIR进化模拟模型
提出了传染病突发事件的SIR(易感-感染-恢复)进化博弈和多智能体仿真模型。博弈的两类当事人是政府部门和公众,模型中考虑了策略与公众状态之间的相互作用。它包括易感状态(S)、感染状态(I)和康复状态(R)三种公众状态,并且这三种状态可以相互切换。同时,在公共部门和政府部门的个人之间进行进化博弈。通过对多智能体模型的仿真,结果表明,公众最终都采取了流动性策略,触发策略下政府部门的监管强度在低水平波动后为0,随着突发事件从爆发到消退,所有公众的状态最终变为R状态。
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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