Homotopy analysis of explicit solutions in a chronic hepatitis C virus model
Autor(a) principal: | |
---|---|
Data de Publicação: | 2021 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.21/14833 |
Resumo: | Mathematical analysis of nonlinear models in epidemiology has generated a deep interest in gaining insights into the mechanisms that underlie hepatitis C virus (HCV) infections. In this article, we provide a study of a chronic HCV infection model with immune response, incorporating the effect of dendritic cells (DC) and cytotoxic T lymphocytes (CTL). Considering very recent developments in the literature related to the Homotopy Analysis Method (HAM), we calculate the explicit series solutions of the HCV model, focusing our analysis on a particular set of dynamical variables. An optimal homotopy analysis approach is used to improve the computational efficiency of HAM by means of appropriate values for a convergence control parameter, which greatly accelerates the convergence of the series solutions. The approximated analytical solutions, with the variation of a parameter representing the expansion rate of CTL, are used to compute density plots, which allow us to discuss additional dynamical features of the model. |
id |
RCAP_9806c89bdb96aa4302d0fdeacd128460 |
---|---|
oai_identifier_str |
oai:repositorio.ipl.pt:10400.21/14833 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Homotopy analysis of explicit solutions in a chronic hepatitis C virus modelHCV infection modelNonlinear differential equationsExplicit series solutionsOptimal homotopy analysis proceduresMathematical analysis of nonlinear models in epidemiology has generated a deep interest in gaining insights into the mechanisms that underlie hepatitis C virus (HCV) infections. In this article, we provide a study of a chronic HCV infection model with immune response, incorporating the effect of dendritic cells (DC) and cytotoxic T lymphocytes (CTL). Considering very recent developments in the literature related to the Homotopy Analysis Method (HAM), we calculate the explicit series solutions of the HCV model, focusing our analysis on a particular set of dynamical variables. An optimal homotopy analysis approach is used to improve the computational efficiency of HAM by means of appropriate values for a convergence control parameter, which greatly accelerates the convergence of the series solutions. The approximated analytical solutions, with the variation of a parameter representing the expansion rate of CTL, are used to compute density plots, which allow us to discuss additional dynamical features of the model.SpringerRCIPLDuarte, JorgeJanuário, CristinaMartins, Nuno2022-07-14T09:04:56Z20212021-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.21/14833engDUARTE, Jorge; JANUÁRIO, Cristina; MARTINS, Nuno – Homotopy analysis of explicit solutions in a chronic hepatitis C virus model. Applied Mathematical Sciences. ISSN 0066-5452. Vol. 15, N.º 1 (2021), pp. 15-32.0066-545210.12988/ams.2021.9142412196-968Xmetadata only accessinfo: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:RCAAP2023-08-03T10:11:32Zoai:repositorio.ipl.pt:10400.21/14833Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:22:34.052330Repositório 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 |
Homotopy analysis of explicit solutions in a chronic hepatitis C virus model |
title |
Homotopy analysis of explicit solutions in a chronic hepatitis C virus model |
spellingShingle |
Homotopy analysis of explicit solutions in a chronic hepatitis C virus model Duarte, Jorge HCV infection model Nonlinear differential equations Explicit series solutions Optimal homotopy analysis procedures |
title_short |
Homotopy analysis of explicit solutions in a chronic hepatitis C virus model |
title_full |
Homotopy analysis of explicit solutions in a chronic hepatitis C virus model |
title_fullStr |
Homotopy analysis of explicit solutions in a chronic hepatitis C virus model |
title_full_unstemmed |
Homotopy analysis of explicit solutions in a chronic hepatitis C virus model |
title_sort |
Homotopy analysis of explicit solutions in a chronic hepatitis C virus model |
author |
Duarte, Jorge |
author_facet |
Duarte, Jorge Januário, Cristina Martins, Nuno |
author_role |
author |
author2 |
Januário, Cristina Martins, Nuno |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
RCIPL |
dc.contributor.author.fl_str_mv |
Duarte, Jorge Januário, Cristina Martins, Nuno |
dc.subject.por.fl_str_mv |
HCV infection model Nonlinear differential equations Explicit series solutions Optimal homotopy analysis procedures |
topic |
HCV infection model Nonlinear differential equations Explicit series solutions Optimal homotopy analysis procedures |
description |
Mathematical analysis of nonlinear models in epidemiology has generated a deep interest in gaining insights into the mechanisms that underlie hepatitis C virus (HCV) infections. In this article, we provide a study of a chronic HCV infection model with immune response, incorporating the effect of dendritic cells (DC) and cytotoxic T lymphocytes (CTL). Considering very recent developments in the literature related to the Homotopy Analysis Method (HAM), we calculate the explicit series solutions of the HCV model, focusing our analysis on a particular set of dynamical variables. An optimal homotopy analysis approach is used to improve the computational efficiency of HAM by means of appropriate values for a convergence control parameter, which greatly accelerates the convergence of the series solutions. The approximated analytical solutions, with the variation of a parameter representing the expansion rate of CTL, are used to compute density plots, which allow us to discuss additional dynamical features of the model. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021 2021-01-01T00:00:00Z 2022-07-14T09:04:56Z |
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/10400.21/14833 |
url |
http://hdl.handle.net/10400.21/14833 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
DUARTE, Jorge; JANUÁRIO, Cristina; MARTINS, Nuno – Homotopy analysis of explicit solutions in a chronic hepatitis C virus model. Applied Mathematical Sciences. ISSN 0066-5452. Vol. 15, N.º 1 (2021), pp. 15-32. 0066-5452 10.12988/ams.2021.914241 2196-968X |
dc.rights.driver.fl_str_mv |
metadata only access info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
metadata only access |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Springer |
publisher.none.fl_str_mv |
Springer |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
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 |
repository.mail.fl_str_mv |
|
_version_ |
1799133497606012928 |