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

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Agents and Multi-Agent Systems for Health Care (A2HC 2017, AHEALTH 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,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).

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Author information

Authors and Affiliations

  1. LANI, UFR SAT, Université Gaston Berger, BP 234, Saint-Louis, Sénégal

    Papa Alioune Cisse, Jean Marie Dembele & Moussa Lo

  2. UMI 209 UMMISCO, Paris, France

    Papa Alioune Cisse, Jean Marie Dembele, Moussa Lo & Christophe Cambier

  3. LIRIMA, M2EIPS, Saint-Louis, Sénégal

    Moussa Lo

Authors
  1. Papa Alioune Cisse
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  2. Jean Marie Dembele
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  3. Moussa Lo
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  4. Christophe Cambier
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Correspondence to Papa Alioune Cisse .

Editor information

Editors and Affiliations

  1. University of Bologna, Cesena, Italy

    Sara Montagna

  2. University of Coimbra, Coimbra, Portugal

    Pedro Henriques Abreu

  3. Université de Sherbrooke, Sherbrooke, Québec, Canada

    Sylvain Giroux

  4. University of Applied Sciences of Western Switzerland, Delémont, Switzerland

    Michael Ignaz Schumacher

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Cisse, P.A., Dembele, J.M., Lo, M., Cambier, C. (2017). Multi-agent Systems for Epidemiology: Example of an Agent-Based Simulation Platform for Schistosomiasis. In: Montagna, S., Abreu, P., Giroux, S., Schumacher, M. (eds) Agents and Multi-Agent Systems for Health Care. A2HC AHEALTH 2017 2017. Lecture Notes in Computer Science(), vol 10685. Springer, Cham. https://doi.org/10.1007/978-3-319-70887-4_8

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  • DOI: https://doi.org/10.1007/978-3-319-70887-4_8

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