Coupling Micro and Macro Dynamics Models on Networks: Application to Disease Spread

  • Arnaud Banos
  • Nathalie Corson
  • Benoit GaudouEmail author
  • Vincent Laperrière
  • Sébastien Rey Coyrehourcq
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9568)


A hybrid model coupling an aggregated equation-based model and an agent-based model is presented in this article. It is applied to the simulation of a disease spread in a city network. We focus here on the evaluation of our hybrid model by comparing it with a simple aggregated model. We progressively introduce heterogeneities in the model and measure their impact on three indicators: the maximum intensity of the epidemic, its duration and the time of the epidemic peak. Finally we present how to integrate mitigation strategies in the model and the benefits we can get from our hybrid approach over single paradigm models.


Hybrid model ODE Metapopulation Network Disease spread 



This work has been partially founded by the CNRS through the PEPS HuMaIn (2013 and 2014) and by the French National Network of Complex Systems (RNSC) through the interdisciplinary network MAPS (


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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Arnaud Banos
    • 1
  • Nathalie Corson
    • 2
  • Benoit Gaudou
    • 3
    Email author
  • Vincent Laperrière
    • 4
  • Sébastien Rey Coyrehourcq
    • 5
  1. 1.UMR Géographie-cités, CNRS, University of Paris 1 Panthéon Sorbonne, University of Paris 7 Paris DiderotParisFrance
  2. 2.LMAH, University Le Havre, Normandie UniversityLe HavreFrance
  3. 3.UMR 5505 IRIT, CNRS, University of ToulouseToulouseFrance
  4. 4.UMR ESPACE, CNRS, University Nice Sophia Antipolis, Avignon University, Aix Marseille UniversityNiceFrance
  5. 5.UMR IDEES, CNRS, University of RouenRouenFrance

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