Hybrid model for spreading of avian influenza

Epidemic propagation models have been applied on modeling the propagation of viruses. Some mathematical models and computer simulations deal with the spatial distribution of susceptible along a line, across a lattice or over a network to overcome the inaccuracies due to the assumption of random mixing of the population. The viral propagation is determined by intrinsic characteristics of the network. This paper presents an intelligent model for avian influenza spreading based on a modified mathematical SIR model, in combination with Bayesian networks and Cellular Automata. The simulation applies on the Romania territory map.