Dynamic simulation of a SEIQR-V epidemic model based on cellular automata

Jiatai Gang, Lisa Huang, Zhiwei Zhao, Sisi Liu, Shujuan Li, Xinxin Tan
2015 Numerical Algebra, Control and Optimization  
A SEIQR-V epidemic model, including the exposure period, is established based on cellular automata. Considerations are made for individual mobility and heterogeneity while introducing measures of vaccinating susceptible populations and quarantining infectious populations. Referencing the random walk cellular automata and extended Moore neighborhood theories, influenza A(H1N1) is used as example to create a dynamic simulation using Matlab software. The simulated results match real data released
more » ... y the World Health Organization, indicating the model is valid and effective. On this basis, the effects of vaccination proportion and quarantine intensity on epidemic propagation are analogue simulated, obtaining their trends of influence and optimal control strategies are suggested. 2010 Mathematics Subject Classification. Primary: 92B02; Secondary: 37F04.
doi:10.3934/naco.2015.5.327 fatcat:wlisnwisqnfsfpei2shhykagom