Optimal control strategies to tailor antivirals for acute infectious diseases in the host

Autores
Perez, Mara Isabel; Abuin, Pablo; Actis, Marcelo Jesús; Ferramosca, Antonio; Hernandez Vargas, Esteban Abelardo; González, Alejandro Hernán
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Several mathematical models in SARS-CoV-2 have shown how target-cell model can help to understand the spread of the virus in the host and how potential candidates of antiviral treatments can help to control the virus. Concepts as equilibrium and stability show to be crucial to qualitative determine the best alternatives to schedule drugs, according to effectivity in inhibiting the virus infection and replication rates. Important biological events such as rebounds of the infections (when antivirals are incorrectly interrupted) can also be explained by means of a dynamic study of the target-cell model. In this work a full characterization of the dynamical behavior of the target-cell models under control actions is made and, based on this characterization, the optimal fixeddose antiviral schedule that produces the smallest amount of dead cells (without viral load rebounds) is computed. Several simulation results - performed by considering real patient data - show the potential benefits of both, the model characterization and the control strategy.
Fil: Perez, Mara Isabel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Abuin, Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Actis, Marcelo Jesús. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Universidad Nacional del Litoral. Facultad de Ingeniería Química; Argentina
Fil: Ferramosca, Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Università Degli Studi Di Bergamo; Italia
Fil: Hernandez Vargas, Esteban Abelardo. Universidad Nacional Autónoma de México; México
Fil: González, Alejandro Hernán. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Materia
IN-HOST ACUTE INFECTION MODEL
EQUILIBRIUM SETS CHARATERIZATION
STABILITY ANALYSIS
MODEL PREDICTIVE CONTROL
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/167735
Acceder
id CONICETDig_6510b8f660024e4975edcad616b2cf95
oai_identifier_str oai:ri.conicet.gov.ar:11336/167735
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Optimal control strategies to tailor antivirals for acute infectious diseases in the hostPerez, Mara IsabelAbuin, PabloActis, Marcelo JesúsFerramosca, AntonioHernandez Vargas, Esteban AbelardoGonzález, Alejandro HernánIN-HOST ACUTE INFECTION MODELEQUILIBRIUM SETS CHARATERIZATIONSTABILITY ANALYSISMODEL PREDICTIVE CONTROLhttps://purl.org/becyt/ford/1.1https://purl.org/becyt/ford/1Several mathematical models in SARS-CoV-2 have shown how target-cell model can help to understand the spread of the virus in the host and how potential candidates of antiviral treatments can help to control the virus. Concepts as equilibrium and stability show to be crucial to qualitative determine the best alternatives to schedule drugs, according to effectivity in inhibiting the virus infection and replication rates. Important biological events such as rebounds of the infections (when antivirals are incorrectly interrupted) can also be explained by means of a dynamic study of the target-cell model. In this work a full characterization of the dynamical behavior of the target-cell models under control actions is made and, based on this characterization, the optimal fixeddose antiviral schedule that produces the smallest amount of dead cells (without viral load rebounds) is computed. Several simulation results - performed by considering real patient data - show the potential benefits of both, the model characterization and the control strategy.Fil: Perez, Mara Isabel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaFil: Abuin, Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaFil: Actis, Marcelo Jesús. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Universidad Nacional del Litoral. Facultad de Ingeniería Química; ArgentinaFil: Ferramosca, Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Università Degli Studi Di Bergamo; ItaliaFil: Hernandez Vargas, Esteban Abelardo. Universidad Nacional Autónoma de México; MéxicoFil: González, Alejandro Hernán. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaCornell University2021-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/167735Perez, Mara Isabel; Abuin, Pablo; Actis, Marcelo Jesús; Ferramosca, Antonio; Hernandez Vargas, Esteban Abelardo; et al.; Optimal control strategies to tailor antivirals for acute infectious diseases in the host; Cornell University; ArXiv.org; 6-2021; 1-262331-8422CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/arxiv/https://arxiv.org/abs/2106.09528info:eu-repo/semantics/altIdentifier/doi/10.48550/arXiv.2106.09528info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/B9780323901710000111info:eu-repo/semantics/altIdentifier/doi/10.1016/B978-0-32-390171-0.00011-1info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:22:55Zoai:ri.conicet.gov.ar:11336/167735instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 15:22:56.069CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Optimal control strategies to tailor antivirals for acute infectious diseases in the host
title Optimal control strategies to tailor antivirals for acute infectious diseases in the host
spellingShingle Optimal control strategies to tailor antivirals for acute infectious diseases in the host
Perez, Mara Isabel
IN-HOST ACUTE INFECTION MODEL
EQUILIBRIUM SETS CHARATERIZATION
STABILITY ANALYSIS
MODEL PREDICTIVE CONTROL
title_short Optimal control strategies to tailor antivirals for acute infectious diseases in the host
title_full Optimal control strategies to tailor antivirals for acute infectious diseases in the host
title_fullStr Optimal control strategies to tailor antivirals for acute infectious diseases in the host
title_full_unstemmed Optimal control strategies to tailor antivirals for acute infectious diseases in the host
title_sort Optimal control strategies to tailor antivirals for acute infectious diseases in the host
dc.creator.none.fl_str_mv Perez, Mara Isabel
Abuin, Pablo
Actis, Marcelo Jesús
Ferramosca, Antonio
Hernandez Vargas, Esteban Abelardo
González, Alejandro Hernán
author Perez, Mara Isabel
author_facet Perez, Mara Isabel
Abuin, Pablo
Actis, Marcelo Jesús
Ferramosca, Antonio
Hernandez Vargas, Esteban Abelardo
González, Alejandro Hernán
author_role author
author2 Abuin, Pablo
Actis, Marcelo Jesús
Ferramosca, Antonio
Hernandez Vargas, Esteban Abelardo
González, Alejandro Hernán
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv IN-HOST ACUTE INFECTION MODEL
EQUILIBRIUM SETS CHARATERIZATION
STABILITY ANALYSIS
MODEL PREDICTIVE CONTROL
topic IN-HOST ACUTE INFECTION MODEL
EQUILIBRIUM SETS CHARATERIZATION
STABILITY ANALYSIS
MODEL PREDICTIVE CONTROL
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.1
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Several mathematical models in SARS-CoV-2 have shown how target-cell model can help to understand the spread of the virus in the host and how potential candidates of antiviral treatments can help to control the virus. Concepts as equilibrium and stability show to be crucial to qualitative determine the best alternatives to schedule drugs, according to effectivity in inhibiting the virus infection and replication rates. Important biological events such as rebounds of the infections (when antivirals are incorrectly interrupted) can also be explained by means of a dynamic study of the target-cell model. In this work a full characterization of the dynamical behavior of the target-cell models under control actions is made and, based on this characterization, the optimal fixeddose antiviral schedule that produces the smallest amount of dead cells (without viral load rebounds) is computed. Several simulation results - performed by considering real patient data - show the potential benefits of both, the model characterization and the control strategy.
Fil: Perez, Mara Isabel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Abuin, Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Actis, Marcelo Jesús. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Universidad Nacional del Litoral. Facultad de Ingeniería Química; Argentina
Fil: Ferramosca, Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Università Degli Studi Di Bergamo; Italia
Fil: Hernandez Vargas, Esteban Abelardo. Universidad Nacional Autónoma de México; México
Fil: González, Alejandro Hernán. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
description Several mathematical models in SARS-CoV-2 have shown how target-cell model can help to understand the spread of the virus in the host and how potential candidates of antiviral treatments can help to control the virus. Concepts as equilibrium and stability show to be crucial to qualitative determine the best alternatives to schedule drugs, according to effectivity in inhibiting the virus infection and replication rates. Important biological events such as rebounds of the infections (when antivirals are incorrectly interrupted) can also be explained by means of a dynamic study of the target-cell model. In this work a full characterization of the dynamical behavior of the target-cell models under control actions is made and, based on this characterization, the optimal fixeddose antiviral schedule that produces the smallest amount of dead cells (without viral load rebounds) is computed. Several simulation results - performed by considering real patient data - show the potential benefits of both, the model characterization and the control strategy.
publishDate 2021
dc.date.none.fl_str_mv 2021-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/167735
Perez, Mara Isabel; Abuin, Pablo; Actis, Marcelo Jesús; Ferramosca, Antonio; Hernandez Vargas, Esteban Abelardo; et al.; Optimal control strategies to tailor antivirals for acute infectious diseases in the host; Cornell University; ArXiv.org; 6-2021; 1-26
2331-8422
CONICET Digital
CONICET
url http://hdl.handle.net/11336/167735
identifier_str_mv Perez, Mara Isabel; Abuin, Pablo; Actis, Marcelo Jesús; Ferramosca, Antonio; Hernandez Vargas, Esteban Abelardo; et al.; Optimal control strategies to tailor antivirals for acute infectious diseases in the host; Cornell University; ArXiv.org; 6-2021; 1-26
2331-8422
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/arxiv/https://arxiv.org/abs/2106.09528
info:eu-repo/semantics/altIdentifier/doi/10.48550/arXiv.2106.09528
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/B9780323901710000111
info:eu-repo/semantics/altIdentifier/doi/10.1016/B978-0-32-390171-0.00011-1
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Cornell University
publisher.none.fl_str_mv Cornell University
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1846083376288628736
score 13.22299

Publicaciones similares