DocumentCode :
3724304
Title :
SIR Evolutionary Simulation Model of the Infectious Disease Emergency
Author :
Fan Yang;Jian Zhang
Author_Institution :
Coll. of Comput., Hubei Univ. of Educ., Wuhan, China
fYear :
2015
Firstpage :
291
Lastpage :
294
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.
Keywords :
"Government","Games","Analytical models","Mathematical model","Computational modeling"
Publisher :
ieee
Conference_Titel :
Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration (ICIICII), 2015 International Conference on
Type :
conf
DOI :
10.1109/ICIICII.2015.153
Filename :
7373841
Link To Document :
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