DYNAMIC SIMULATION OF A SEIQR-V EPIDEMIC MODEL BASED ON CELLULAR AUTOMATA

被引：2

作者：

Tan, Xinxin ^{[1
]}

Li, Shujuan ^{[1
]}

Liu, Sisi ^{[1
]}

Zhao, Zhiwei ^{[2
]}

Huang, Lisa ^{[3
]}

Gang, Jiatai ^{[1
]}

机构：

[1] Dalian Univ, Coll Informat Engn, Dalian 116622, Peoples R China

[2] Dalian Univ, Coll Environm & Chem Engn, Dalian 116622, Peoples R China

[3] Portacom NZ Ltd, Auckland 1061, New Zealand

来源：

NUMERICAL ALGEBRA CONTROL AND OPTIMIZATION | 2015年 / 5卷 / 04期

关键词：

Cellular automata; vaccination proportion; quarantine intensity; dynamic simulation; influenza A(H1N1);

D O I：

10.3934/naco.2015.5.327

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

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 by 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.

引用

页码：327 / 337

页数：11

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