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Research Article | Open Access

Mathematical analysis of a hybrid model: Impacts of individual behaviors on the spreading of an epidemic

Laboratoire des Sciences du Numérique, LS2N UMR CNRS 6004, Université de Nantes, France
Center for Research and Development in Mathematics and Applications (CIDMA), Department of Mathematics, University of Aveiro, 3810-193 Aveiro, Portugal
UMR IDEES, CNRS, 25 rue Philippe Lebon BP 1123, 76063 Le Havre Cedex, UK
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Abstract

In this paper, we investigate the well-posedness and dynamics of a class of hybrid models, obtained by coupling a system of ordinary differential equations and an agent-based model. These hybrid models intend to integrate the microscopic dynamics of individual behaviors into the macroscopic evolution of various population dynamics models, and can be applied to a great number of complex problems arising in economics, sociology, geography and epidemiology. Here, in particular, we apply our general framework to the current COVID-19 pandemic. We establish, at a theoretical level, sufficient conditions which lead to particular solutions exhibiting irregular oscillations and interpret those particular solutions as pandemic waves. We perform numerical simulations of a set of relevant scenarios which show how the microscopic processes impact the macroscopic dynamics.

CLC number: Primary: 34F05, 34A38; Secondary: 91C99

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Networks and Heterogeneous Media
Pages 333-357

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Cite this article:
Cantin G, Silva CJ, Banos A. Mathematical analysis of a hybrid model: Impacts of individual behaviors on the spreading of an epidemic. Networks and Heterogeneous Media, 2022, 17(3): 333-357. https://doi.org/10.3934/nhm.2022010

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Received: 01 May 2021
Revised: 01 November 2021
Published: 15 June 2022
©2022 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)