Coupling Micro and Macro Dynamics Models on Networks: Application to Disease Spread - Université Paris 1 Panthéon-Sorbonne Accéder directement au contenu
Chapitre D'ouvrage Année : 2016

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

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.

Dates et versions

hal-01301222 , version 1 (11-04-2016)

Identifiants

Citer

Arnaud Banos, Nathalie Corson, Benoit Gaudou, Vincent Laperrière, Sebastien Rey-Coyrehourcq. Coupling Micro and Macro Dynamics Models on Networks: Application to Disease Spread. Benoit Gaudou; Jaime Simão Sichman. Multi-Agent Based Simulation XVI: International Workshop, MABS 2015, Istanbul, Turkey, May 5, 2015, Revised Selected Papers ; ISBN 978-3-319-31446-4, 9568 (2016), Springer International Publishing, pp.19-33, 2016, Lecture Notes in Computer Science book series, 978-3-319-31446-4 978-3-319-31447-1. ⟨10.1007/978-3-319-31447-1_2⟩. ⟨hal-01301222⟩
376 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More