Complex network model for COVID-19: human behavior, pseudo-periodic solutions and multiple epidemic waves

Detalhes bibliográficos
Autor(a) principal: Silva, Cristiana J.
Data de Publicação: 2022
Outros Autores: Cantin, Guillaume, Cruz, Carla, Fonseca-Pinto, Rui, Passadouro, Rui, Santos, Estevão Soares dos, Torres, Delfim F. M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10773/34444
Resumo: We propose a mathematical model for the transmission dynamics of SARS-CoV-2 in a homogeneously mixing non constant population, and generalize it to a model where the parameters are given by piecewise constant functions. This allows us to model the human behavior and the impact of public health policies on the dynamics of the curve of active infected individuals during a COVID-19 epidemic outbreak. After proving the existence and global asymptotic stability of the disease-free and endemic equilibrium points of the model with constant parameters, we consider a family of Cauchy problems, with piecewise constant parameters, and prove the existence of pseudo-oscillations between a neighborhood of the disease-free equilibrium and a neighborhood of the endemic equilibrium, in a biologically feasible region. In the context of the COVID-19 pandemic, this pseudo-periodic solutions are related to the emergence of epidemic waves. Then, to capture the impact of mobility in the dynamics of COVID-19 epidemics, we propose a complex network with six distinct regions based on COVID-19 real data from Portugal. We perform numerical simulations for the complex network model, where the objective is to determine a topology that minimizes the level of active infected individuals and the existence of topologies that are likely to worsen the level of infection. We claim that this methodology is a tool with enormous potential in the current pandemic context, and can be applied in the management of outbreaks (in regional terms) but also to manage the opening/closing of borders.
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spelling Complex network model for COVID-19: human behavior, pseudo-periodic solutions and multiple epidemic wavesCOVID-19 epidemic wavesPiecewise constant parametersPseudo-periodic solutionsComplex networkPortugal case studyWe propose a mathematical model for the transmission dynamics of SARS-CoV-2 in a homogeneously mixing non constant population, and generalize it to a model where the parameters are given by piecewise constant functions. This allows us to model the human behavior and the impact of public health policies on the dynamics of the curve of active infected individuals during a COVID-19 epidemic outbreak. After proving the existence and global asymptotic stability of the disease-free and endemic equilibrium points of the model with constant parameters, we consider a family of Cauchy problems, with piecewise constant parameters, and prove the existence of pseudo-oscillations between a neighborhood of the disease-free equilibrium and a neighborhood of the endemic equilibrium, in a biologically feasible region. In the context of the COVID-19 pandemic, this pseudo-periodic solutions are related to the emergence of epidemic waves. Then, to capture the impact of mobility in the dynamics of COVID-19 epidemics, we propose a complex network with six distinct regions based on COVID-19 real data from Portugal. We perform numerical simulations for the complex network model, where the objective is to determine a topology that minimizes the level of active infected individuals and the existence of topologies that are likely to worsen the level of infection. We claim that this methodology is a tool with enormous potential in the current pandemic context, and can be applied in the management of outbreaks (in regional terms) but also to manage the opening/closing of borders.Elsevier2024-10-15T00:00:00Z2022-10-15T00:00:00Z2022-10-15info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfapplication/pdfhttp://hdl.handle.net/10773/34444eng0022-247X10.1016/j.jmaa.2021.125171Silva, Cristiana J.Cantin, GuillaumeCruz, CarlaFonseca-Pinto, RuiPassadouro, RuiSantos, Estevão Soares dosTorres, Delfim F. M.info:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-22T12:05:35Zoai:ria.ua.pt:10773/34444Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:05:24.263330Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Complex network model for COVID-19: human behavior, pseudo-periodic solutions and multiple epidemic waves
title Complex network model for COVID-19: human behavior, pseudo-periodic solutions and multiple epidemic waves
spellingShingle Complex network model for COVID-19: human behavior, pseudo-periodic solutions and multiple epidemic waves
Silva, Cristiana J.
COVID-19 epidemic waves
Piecewise constant parameters
Pseudo-periodic solutions
Complex network
Portugal case study
title_short Complex network model for COVID-19: human behavior, pseudo-periodic solutions and multiple epidemic waves
title_full Complex network model for COVID-19: human behavior, pseudo-periodic solutions and multiple epidemic waves
title_fullStr Complex network model for COVID-19: human behavior, pseudo-periodic solutions and multiple epidemic waves
title_full_unstemmed Complex network model for COVID-19: human behavior, pseudo-periodic solutions and multiple epidemic waves
title_sort Complex network model for COVID-19: human behavior, pseudo-periodic solutions and multiple epidemic waves
author Silva, Cristiana J.
author_facet Silva, Cristiana J.
Cantin, Guillaume
Cruz, Carla
Fonseca-Pinto, Rui
Passadouro, Rui
Santos, Estevão Soares dos
Torres, Delfim F. M.
author_role author
author2 Cantin, Guillaume
Cruz, Carla
Fonseca-Pinto, Rui
Passadouro, Rui
Santos, Estevão Soares dos
Torres, Delfim F. M.
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Silva, Cristiana J.
Cantin, Guillaume
Cruz, Carla
Fonseca-Pinto, Rui
Passadouro, Rui
Santos, Estevão Soares dos
Torres, Delfim F. M.
dc.subject.por.fl_str_mv COVID-19 epidemic waves
Piecewise constant parameters
Pseudo-periodic solutions
Complex network
Portugal case study
topic COVID-19 epidemic waves
Piecewise constant parameters
Pseudo-periodic solutions
Complex network
Portugal case study
description We propose a mathematical model for the transmission dynamics of SARS-CoV-2 in a homogeneously mixing non constant population, and generalize it to a model where the parameters are given by piecewise constant functions. This allows us to model the human behavior and the impact of public health policies on the dynamics of the curve of active infected individuals during a COVID-19 epidemic outbreak. After proving the existence and global asymptotic stability of the disease-free and endemic equilibrium points of the model with constant parameters, we consider a family of Cauchy problems, with piecewise constant parameters, and prove the existence of pseudo-oscillations between a neighborhood of the disease-free equilibrium and a neighborhood of the endemic equilibrium, in a biologically feasible region. In the context of the COVID-19 pandemic, this pseudo-periodic solutions are related to the emergence of epidemic waves. Then, to capture the impact of mobility in the dynamics of COVID-19 epidemics, we propose a complex network with six distinct regions based on COVID-19 real data from Portugal. We perform numerical simulations for the complex network model, where the objective is to determine a topology that minimizes the level of active infected individuals and the existence of topologies that are likely to worsen the level of infection. We claim that this methodology is a tool with enormous potential in the current pandemic context, and can be applied in the management of outbreaks (in regional terms) but also to manage the opening/closing of borders.
publishDate 2022
dc.date.none.fl_str_mv 2022-10-15T00:00:00Z
2022-10-15
2024-10-15T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10773/34444
url http://hdl.handle.net/10773/34444
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0022-247X
10.1016/j.jmaa.2021.125171
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dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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