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Proceedings Paper

A multi-agent-based approach for simulating epidemic transmission
Author(s): Tao Liu; Xia Li; Jing Fu; Bin Ai; XiaoHu Zhang
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Paper Abstract

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.

Paper Details

Date Published: 3 November 2008
PDF: 8 pages
Proc. SPIE 7143, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 71431V (3 November 2008); doi: 10.1117/12.812596
Show Author Affiliations
Tao Liu, Sun Yat-sen Univ. (China)
Xia Li, Sun Yat-sen Univ. (China)
Jing Fu, Sun Yat-sen Univ. (China)
Bin Ai, Sun Yat-sen Univ. (China)
XiaoHu Zhang, Sun Yat-sen Univ. (China)


Published in SPIE Proceedings Vol. 7143:
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments
Lin Liu; Xia Li; Kai Liu; Xinchang Zhang; Aijun Chen, Editor(s)

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