A multi-agent based approach for simulating epidemic transmission

A new model is proposed based on multi-agent system to simulate spatio-temporal transmission process of infectious diseases. The model consists of four components: attributes definitions, neighborhood, movement rules and state transition rules. The state transition rule is the core of the proposed model. In the model, memory of infection of susceptible agents are embodied, moreover, infection dose decay rate and exponential distance parameters are introduced in transmission process, so that the spatio-temporal effect is explicitly considered.