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

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Highlights of Practical Applications of Cyber-Physical Multi-Agent Systems (PAAMS 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 722))

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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Authors and Affiliations

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

    Papa Alioune Cisse, Jean Marie Dembele & Moussa Lo

  2. UMI 209 UMMISCO, Bondy Cedex, France

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

  3. LIRIMA, M2EIPS, Saint-Louis, Senegal

    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. Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, Madrid, Spain

    Javier Bajo

  2. Polytechnic Institute of Porto, Porto, Portugal

    Zita Vale

  3. University of Southern Denmark, Odense, Denmark

    Kasper Hallenborg

  4. University of Porto, Porto, Portugal

    Ana Paula Rocha

  5. Lille University of Science and Technology, Lille, France

    Philippe Mathieu

  6. Poznan University of Technology, Poznan, Poland

    Pawel Pawlewski

  7. Polytechnic University of Valencia, Valencia, Spain

    Elena Del Val

  8. University of Minho, Braga, Portugal

    Paulo Novais

  9. National Laboratory of Energy and Geology, Lisbon, Portugal

    Fernando Lopes

  10. National University of Colombia, Manizales, Caldas, Colombia

    Nestor D. Duque Méndez

  11. Polytechnic University of Valencia, Valencia, Spain

    Vicente Julián

  12. Malmö University, Malmo, Sweden

    Johan Holmgren

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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: Bajo, J., et al. Highlights of Practical Applications of Cyber-Physical Multi-Agent Systems. PAAMS 2017. Communications in Computer and Information Science, vol 722. Springer, Cham. https://doi.org/10.1007/978-3-319-60285-1_13

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  • DOI: https://doi.org/10.1007/978-3-319-60285-1_13

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