Epidemiological modeling with a population density map-based cellular automata simulation system

作者：

Highlights：

• We proposed a new cellular automata framework for epidemic simulation.

• We analyze the dynamic of the disease for real geographical and demographic data.

• We introduce parameters which reflects the dynamics of the population.

• The results show the influence of individuals mobility on the disease spreading.

• We use SEIR-IBM model for the simulation.

摘要

•We proposed a new cellular automata framework for epidemic simulation.•We analyze the dynamic of the disease for real geographical and demographic data.•We introduce parameters which reflects the dynamics of the population.•The results show the influence of individuals mobility on the disease spreading.•We use SEIR-IBM model for the simulation.

论文关键词：Cellular automata,SEIR-IBM model,Epidemic spread model,Disease spread model,Mathematical modeling,Square lattice

论文评审过程：Received 20 March 2015, Revised 7 August 2015, Accepted 12 August 2015, Available online 20 August 2015, Version of Record 12 December 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.08.018