Simulation of the Spread of Epidemics with Individuals Contact Using Cellular Automata Modeling

Based on the theory of complexity adaptive system, a cellular automata model to simulate the complex process of epidemic spread was built. The population was divided into three classes: infected, immunized and susceptible. Specifically, the epidemic was considered as one with the characteristic of vertical transmission. Furthermore, the model could be extended to conclude the effects of population vaccination, which can reduce the epidemic propagation. The proposed model could serve as a basis for the development of algorithms to simulate real epidemics based on real data.