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Multi-agent Systems for Epidemiology: Example of an Agent-Based Simulation Platform for Schistosomiasis

  • Papa Alioune CisseEmail author
  • Jean Marie Dembele
  • Moussa Lo
  • Christophe Cambier
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10685)

Abstract

In this paper, we show the convenience of multi-agent systems to help computational epidemiology come to the rescue of mathematical epidemiology for its practical limits on modeling and simulation of complex epidemiological phenomena. Herein, we propose as an example, an agent-based simulation platform for schistosomiasis (commonly known as Bilharzia, which is a parasitic disease found in tropical and subtropical areas and caused by a tapeworm called schistosome or bilharzias) that we have experimented with actual data of schistosomiasis in Niamey (Niger).

Keywords

Complex systems Mathematical modeling Multi-agents system Agent-based modeling and simulation Schistosomiasis Computational epidemiology 

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Papa Alioune Cisse
    • 1
    • 2
    Email author
  • Jean Marie Dembele
    • 1
    • 2
  • Moussa Lo
    • 1
    • 2
    • 3
  • Christophe Cambier
    • 2
  1. 1.LANI, UFR SATUniversité Gaston BergerSaint-LouisSénégal
  2. 2.UMI 209 UMMISCOParisFrance
  3. 3.LIRIMA, M2EIPSSaint-LouisSénégal

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