Title :
Human Daily Behavior Based Simulation for Epidemic Transmission: A Case Study of SARS
Author :
Zhou, Jieping ; Gong, Jianhua ; Li, Wenhang
Abstract :
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
Keywords :
Java; diseases; medical computing; multi-agent systems; virtual reality; Java 3D; SARS transmission; SWARM; crowd simulation; epidemic transmission; human daily behavior model; multiagent approach; pedestrian path model; severe acute respiratory syndrome; virtual community; Biological system modeling; Diseases; Educational institutions; Humans; Java; Lakes; Remote sensing; Virtual environment; Virtual prototyping; Virtual reality;
Conference_Titel :
Artificial Reality and Telexistence--Workshops, 2006. ICAT '06. 16th International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
0-7695-2754-X
DOI :
10.1109/ICAT.2006.69
