Using Cellular Automata for Modeling the Virus Infection Process

To simulate the human immunodeficiency virus infection process, a model was proposed based on cellular automata that looked the infection as spreading from the infectious cells to susceptible ones. The model was presented as a five-tuple array and the infective flow was analyzed for the cells with different states. The states updating rules were given according to the states of the hosts. The computing process of the simulation was proposed and the dynamic behaviors for the healthy, infected and dead cells were analyzed with given parameters. The discussion on the difference between our model with other differential equation models shows the advantages of our method and it is also helpful to the prediction of the epidemic infection.