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15 mars 2016
- handle: 10670/1.o3zckd
- isbn: 978-3-319-31446-4 978-3-319-31447-1
- hal: hal-01301222
- doi: 10.1007/978-3-319-31447-1_2
- OATAO: 17128
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info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-319-31447-1_2
Mots-clés
Hybrid model ODE Metapopulation Network Disease spread ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS/G.1.7: Ordinary Differential Equations ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.11: Distributed Artificial Intelligence/I.2.11.3: Multiagent systems -bio]/Santé publique et épidémiologieCiter ce document
Arnaud Banos et al., « Coupling Micro and Macro Dynamics Models on Networks: Application to Disease Spread », HAL-SHS : géographie, ID : 10.1007/978-3-319-31447-1_2
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Résumé
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.