Multi-agent simulation of epidemic spatio-temporal transmission

  • Tao Liu
  • , Xia Li*
  • , Bin Ai
  • , Jing Fu
  • , Xiao Hu Zhang
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

A new model is proposed based on multi-agent system and geographic information system to simulate spatio-temporal transmission process of infectious diseases. The model consists of following four components: attributes definitions, neighborhood, movement rules and state transition rules. Two new parameters, infection dose decay rate and exponential distance, are introduced in transmission process, and the effect of spatio-temporal is explicitly considered. This model is used to simulate transmission process of infectious diseases in Haizhu district of Guangzhou City. It is found that changes of two parameters have prominent influence upon transmission process. The higher population density there were, the more probability of infection happened.

Original languageEnglish
Title of host publicationProceedings - 4th International Conference on Natural Computation, ICNC 2008
Pages357-361
Number of pages5
DOIs
StatePublished - 2008
Externally publishedYes
Event4th International Conference on Natural Computation, ICNC 2008 - Jinan, China
Duration: 18 Oct 200820 Oct 2008

Publication series

NameProceedings - 4th International Conference on Natural Computation, ICNC 2008
Volume7

Conference

Conference4th International Conference on Natural Computation, ICNC 2008
Country/TerritoryChina
CityJinan
Period18/10/0820/10/08

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