The impact of the power law exponent on the behavior of a dynamic epidemic type process
Proceedings of the twenty-fourth annual ACM symposium on Parallelism in algorithms and architectures
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A new model is proposed based on multi-agent system and geographic information system to simulate spatio-temporal transmission process of infectious diseases. The model consists of following four components: attributes definitions, neighborhood, movement rules and state transition rules. Two new parameters, infection dose decay rate and exponential distance, are introduced in transmission process, and the effect of spatio-temporal is explicitly considered. This model is used to simulate transmission process of infectious diseases in Haizhu district of Guangzhou City. It is found that changes of two parameters have prominent influence upon transmission process. The higher population density there were, the more probability of infection happened.