Ebola epidemic model with dynamic population and memory

Detalhes bibliográficos
Autor(a) principal: Ndaïrou, Faïçal
Data de Publicação: 2023
Outros Autores: Khalighi, Moein, Lahti, Leo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10773/36675
Resumo: The recent outbreaks of Ebola encourage researchers to develop mathematical models for simulating the dynamics of Ebola transmission. We continue the study of the models focusing on those with a variable population. Hence, this paper presents a compartmental model consisting of 8-dimensional nonlinear dif- ferential equations with a dynamic population and investigates its basic reproduction number. Moreover, a dimensionless model is introduced for numerical analysis, thus proving the disease-free equilibrium is locally asymptotically stable whenever the threshold condition, known as a basic reproduction number, is less than one. Finally, we use a fractional differential form of the model to sufficiently fit long time-series data of Guinea, Liberia, and Sierra Leone retrieved from the World Health Organization, and the numerical results demonstrate the performance of the model.
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spelling Ebola epidemic model with dynamic population and memoryEbola modelBasic reproduction ratioFractional Ebola modelFractional derivativesNumerical simulationsThe recent outbreaks of Ebola encourage researchers to develop mathematical models for simulating the dynamics of Ebola transmission. We continue the study of the models focusing on those with a variable population. Hence, this paper presents a compartmental model consisting of 8-dimensional nonlinear dif- ferential equations with a dynamic population and investigates its basic reproduction number. Moreover, a dimensionless model is introduced for numerical analysis, thus proving the disease-free equilibrium is locally asymptotically stable whenever the threshold condition, known as a basic reproduction number, is less than one. Finally, we use a fractional differential form of the model to sufficiently fit long time-series data of Guinea, Liberia, and Sierra Leone retrieved from the World Health Organization, and the numerical results demonstrate the performance of the model.Elsevier2023-03-28T09:20:17Z2023-01-01T00:00:00Z2023info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/36675eng0960-077910.1016/j.chaos.2023.113361Ndaïrou, FaïçalKhalighi, MoeinLahti, Leoinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-22T12:10:42Zoai:ria.ua.pt:10773/36675Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:07:24.135092Repositório 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 Ebola epidemic model with dynamic population and memory
title Ebola epidemic model with dynamic population and memory
spellingShingle Ebola epidemic model with dynamic population and memory
Ndaïrou, Faïçal
Ebola model
Basic reproduction ratio
Fractional Ebola model
Fractional derivatives
Numerical simulations
title_short Ebola epidemic model with dynamic population and memory
title_full Ebola epidemic model with dynamic population and memory
title_fullStr Ebola epidemic model with dynamic population and memory
title_full_unstemmed Ebola epidemic model with dynamic population and memory
title_sort Ebola epidemic model with dynamic population and memory
author Ndaïrou, Faïçal
author_facet Ndaïrou, Faïçal
Khalighi, Moein
Lahti, Leo
author_role author
author2 Khalighi, Moein
Lahti, Leo
author2_role author
author
dc.contributor.author.fl_str_mv Ndaïrou, Faïçal
Khalighi, Moein
Lahti, Leo
dc.subject.por.fl_str_mv Ebola model
Basic reproduction ratio
Fractional Ebola model
Fractional derivatives
Numerical simulations
topic Ebola model
Basic reproduction ratio
Fractional Ebola model
Fractional derivatives
Numerical simulations
description The recent outbreaks of Ebola encourage researchers to develop mathematical models for simulating the dynamics of Ebola transmission. We continue the study of the models focusing on those with a variable population. Hence, this paper presents a compartmental model consisting of 8-dimensional nonlinear dif- ferential equations with a dynamic population and investigates its basic reproduction number. Moreover, a dimensionless model is introduced for numerical analysis, thus proving the disease-free equilibrium is locally asymptotically stable whenever the threshold condition, known as a basic reproduction number, is less than one. Finally, we use a fractional differential form of the model to sufficiently fit long time-series data of Guinea, Liberia, and Sierra Leone retrieved from the World Health Organization, and the numerical results demonstrate the performance of the model.
publishDate 2023
dc.date.none.fl_str_mv 2023-03-28T09:20:17Z
2023-01-01T00:00:00Z
2023
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10773/36675
url http://hdl.handle.net/10773/36675
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0960-0779
10.1016/j.chaos.2023.113361
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
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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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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