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SEIR Evolutionary Simulation Model of the Infectious Disease Emergency
| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | H. Liu X. Liu F. Yang H. Qi |
| Copyright Year | 2016 |
| Abstract | A SEIR (susceptible-exposed-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 four types of states of the public, susceptible (S), infected (I), exposed (E) and recovered (R) states and the states could be switched from each other. At the same time, the evolutionary game is done between 'I' and 'E' individuals in the public and government sectors. From the simulation of the multi-agents model, the results is shown that the public adopt the self-control strategy more, the supervision strength of the government sectors is fluctuated in a high level and with the emergency from the outbreak to the decline, the E state of the public is the key of the evolution. |
| Starting Page | 315 |
| Ending Page | 318 |
| Page Count | 4 |
| File Format | HTM / HTML |
| ISBN | 9781509035755 |
| Journal | 2016 International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration (ICIICII) |
| DOI | 10.1109/ICIICII.2016.0082 |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Infectious disease emergency Multi-agents simulation model Fluctuations Government Switches Evolutionary computation Cellular automata(CA) Susceptible-exposed-infected-recovered evolutionary game Game theory Evolution game Diseases Analytical models Infectious diseases Self-control strategy SEIR evolutionary game SEIR evolutionary simulation model SEIR evolution Games Mathematical model Multi-agents simulation |
| Content Type | Text |
| Resource Type | Article |
