A multi-agent-based approach for simulating epidemic transmission

Tao Liu; Xia Li; Jing Fu; Bin Ai; XiaoHu Zhang

doi:10.1117/12.812596

3 November 2008 A multi-agent-based approach for simulating epidemic transmission

Tao Liu, Xia Li, Jing Fu, Bin Ai, XiaoHu Zhang

Proceedings Volume 7143, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments; 71431V (2008) https://doi.org/10.1117/12.812596
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China

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.

Citation Download Citation

Tao Liu, Xia Li, Jing Fu, Bin Ai, and XiaoHu Zhang "A multi-agent-based approach for simulating epidemic transmission", Proc. SPIE 7143, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 71431V (3 November 2008); https://doi.org/10.1117/12.812596

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