Modeling and Simulation of Infectious Propagation Based on Cellular Automata

Abstract

Based on cellular automaton, combine compartment model, proposed SEIDRS model that can reflect the actual propagation process of infectious diseases. This model combined with factors such as population density, sexual proportion and age structure, rules the evolution rules of the model. Using Matlab to simulate the model, the simulation results show that the larger population density, the infectious disease propagation faster; There are differences in some aspects in sexual proportion, sexual have larger number and high impact factor, make more obvious effects on the spread of infectious diseases; There are differences in age structure, the city have more aged and light people have lower defense capability to infectious diseases, the appropriate age distribution play a more active role to resist the spread of infectious diseases.