Simulation and Analysis on the Control of SARS by Complexity Adaptive System Theory

Based on the theory of Complexity Adaptive System (CAS), the process of a kind of infectious disease , SARS, from its breakout to tending stable under certain control, is investigated. Using agent-based simulation, a computer model on SWARM platform is built, and the real process of that took place in Beijing is fitted successfully according to the current data we grasped. Then several factors, such as time interval from one being infected to being treated, whether being separated or not, which have great effects on the propagation of SARS are analyzed, and whose effects on SARS are studied. Some suggestion to deal with this kind of problem is given finally.