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Assessing the Spatial Impact on an Agent-Based Modeling of Epidemic Control: Case of Schistosomiasis

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Complex Sciences (Complex 2012)

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Abstract

Given that most mathematical models of schistosomiasis are based on ordinary differential equations (ODE) and therefore do not take into account the spatial dimension of the schistosomiasis spread, we use an agent-based modeling approach to assess environmental impact on the modeling of this phenomenon. We show that taking into account the environment in the modeling process somehow affects the control policies that must be established according to the environmental characteristics of each system that is meant to be studied.

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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, France

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

  3. M2EIPS, LIRIMA, France

    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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Editor information

Editors and Affiliations

  1. Sandia National Laboratories, 87506, Santa Fe, NM, USA

    Kristin Glass  & Richard Colbaugh  & 

  2. Volterra Partners, SW15 1SF, London, UK

    Paul Ormerod

  3. Sandia National Laboratories, 87185-1421, Albuquerque, NM, USA

    Jeffrey Tsao

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© 2013 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Cisse, P.A., Dembele, J.M., Lo, M., Cambier, C. (2013). Assessing the Spatial Impact on an Agent-Based Modeling of Epidemic Control: Case of Schistosomiasis. In: Glass, K., Colbaugh, R., Ormerod, P., Tsao, J. (eds) Complex Sciences. Complex 2012. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 126. Springer, Cham. https://doi.org/10.1007/978-3-319-03473-7_6

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  • DOI: https://doi.org/10.1007/978-3-319-03473-7_6

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03472-0

  • Online ISBN: 978-3-319-03473-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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