{"title":"SIR Evolutionary Simulation Model of the Infectious Disease Emergency","authors":"Fan Yang, Jian Zhang","doi":"10.1109/ICIICII.2015.153","DOIUrl":null,"url":null,"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.","PeriodicalId":349920,"journal":{"name":"2015 International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration","volume":"90 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIICII.2015.153","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.