Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/34052
Title: Mathematical analysis of a hybrid model: impacts of individual behaviors on the spreading of an epidemic
Author: Cantin, Guillaume
Silva, Cristiana J.
Banos, Arnaud
Keywords: Hybrid model
Networks
Agent-based model
Multi-scale
Epidemics
Issue Date: Jun-2022
Publisher: American Institute of Mathematical Sciences
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.
Peer review: yes
URI: http://hdl.handle.net/10773/34052
DOI: 10.3934/nhm.2022010
ISSN: 1556-1801
Appears in Collections:CIDMA - Artigos
DMat - Artigos
SCG - Artigos

Files in This Item:
File Description SizeFormat 
[53_2022]CantinSilvaBanos_NHM2022.pdf1.9 MBAdobe PDFrestrictedAccess


FacebookTwitterLinkedIn
Formato BibTex MendeleyEndnote Degois 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.