Human Daily Behavior Based Simulation for Epidemic Transmission: A Case Study of SARS

This paper aims to model a human daily behavior for crowd simulation in order to explore epidemic transmission. Two aspects of the human daily behavior model are particularly discussed which are pedestrian path model and human daily behavior model. In a case study of the severe acute respiratory syndrome (SARS), an individual based model in a virtual community is designed, and a multi-agent approach is used to implement the simulation of SARS transmission in the community. A prototype system for crowd simulation in virtual environments is designed and developed with Java, Java 3D and SWARM, and an experiment of SARS transmission in the virtual community is conducted for exploring the characteristics of SARS transmission which may help evaluate the effectiveness of control measures of disease spread