Type a influenza H1N1 Based on Cellular Automata

Type A H1N1 influenza is ferocious, long incubation period and similar to a bad cold with the identification, dissemination channels. The characteristics of people contact with neighbors through close. We use cellular automata model of time and discrete space to local rule-based to a specific space for cellular populations, using a radius of 3 neighbors of Moore-type form of the neighbors, according to the characteristics of the disease has been divided into seven kinds of cellular state. We adopted two-dimensional cellular automaton model to simulate the spread of the disease process. We study the model with actual results through matlab simulation. We have to use cellular automata model to describe the dynamics of disease development and dissemination of the process of changing the law to predict the occurrence of disease, and to assess the effectiveness of various control measures for disease prevention and control to provide the best basis for decision making, safeguard human health and socio-economic development.