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Dynamic Contact Network Simulation Model Based on Multi-Agent Systems

Author

Listed:
  • Fatima-Zohra Younsi

    (University of Oran 1, Ahmed BenBella, Algeria)

  • Djamila Hamdadou

    (University of Oran 1, Ahmed BenBella, Algeria)

Abstract

Epidemic spread poses a new challenge to the public health community. Given its very rapid spread, public health decision makers are mobilized to fight and stop it by setting disposal several tools. This ongoing research aims to design and develop a new system based on Multi-Agent System, Suscpetible-Infected-Removed (SIR) model and Geographic Information System (GIS) for public health officials. The proposed system aimed to find out the real and responsible factors for the epidemic spread and explaining its emergence in human population. Moreover, it allows to monitor the disease spread in space and time and provides rapid early warning alert of disease outbreaks. In this paper, a multi-agent epidemic spread simulation system is proposed, discussed and implemented. Simulation result shows that the proposed multi-agent disease spread system performs well in reflecting the evolution of dynamic disease spread system's behavior

Suggested Citation

  • Fatima-Zohra Younsi & Djamila Hamdadou, 2021. "Dynamic Contact Network Simulation Model Based on Multi-Agent Systems," International Journal of Healthcare Information Systems and Informatics (IJHISI), IGI Global, vol. 16(4), pages 1-21, October.
    • Handle: RePEc:igg:jhisi0:v:16:y:2021:i:4:p:1-21
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    References listed on IDEAS

    as
    1. Jürgen Hackl & Thibaut Dubernet, 2019. "Epidemic Spreading in Urban Areas Using Agent-Based Transportation Models," Future Internet, MDPI, vol. 11(4), pages 1-14, April.
    2. Mingxin Zhang & Alexander Verbraeck & Rongqing Meng & Bin Chen & Xiaogang Qiu, 2016. "Modeling Spatial Contacts for Epidemic Prediction in a Large-Scale Artificial City," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 19(4), pages 1-3.
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