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Multi-agent system simulation of epidemic spatio-temporal transmission

  • Tao Liu*
  • , Xia Li
  • , Meng Wei Liu
  • *Corresponding author for this work
  • Sun Yat-Sen University

Research output: Contribution to journal › Article › peer-review

Abstract

A new model was proposed based on multi-agent system to simulate spatio-temporal transmission process of infectious diseases on Swarm platform. 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. The "memory" of susceptible agents on infection and decay of infection dose were considered. Moreover, the exponential of distance was introduced in transmission process of epidemic. As a result, the spatio-temporal characteristics of epidemic transmission were explicitly investigated in the model.

Original languageEnglish
Pages (from-to)5874-5877
Number of pages4
JournalXitong Fangzhen Xuebao / Journal of System Simulation
Volume21
Issue number18
StatePublished - 20 Sep 2009
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Epidemic
  • Multi-agent system
  • Spatio-temporal
  • Transmission simulation

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