Characterization of SARS-CoV-2 Dynamics in the Host
- Autores
- Abuin, Pablo; Anderson, Alejandro; Ferramosca, Antonio; Hernandez - Vargas; González, Alejandro
- Año de publicación
- 2020
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- While many epidemiological models were proposed to understand and handle COVID-19 pandemic, too little has been invested to understand human viral replication and the potential use of novel antivirals to tackle the infection. In this work, using a control theoretical approach, validated mathematical models of SARS-CoV-2 in humans are characterized. A complete analysis of the main dynamic characteristic is developed based on the reproduction number. The equilibrium regions of the system are fully characterized, and the stability of such regions is formally established. Mathematical analysis highlights critical conditions to decrease monotonically SARS-CoV-2 in the host, as such conditions are relevant to tailor future antiviral treatments. Simulation results show the aforementioned system characterization.
Fil: Abuin, Pablo. CONICET - Universidad Nacional del Litoral. Argentina.
Fil: Ferramosca, Antonio. CONICET - UTN Facultad Regional Reconquista. Argentina.
Fil: Hernandez - Vargas Esteban. Institute of Mathematics, UNAM, Mexico. Research Fellow, Frankfurt Institute for Advanced Studies. Germany.
Fil: Gonzales, Alejandro. CONICET - Universidad Nacional del Litoral. Argentina.
Fil: Anderson, Alejandro. CONICET - Universidad Nacional del Litoral. Argentina.
Peer Reviewed - Materia
- EQUILIBRIUM SETS CHARACTERIZATION , IN-HOST MODEL , SARS-COV-2 INFECTION , STABILITY ANALYSIS , COVID-19
- Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- 2021-03-11T21:42:02Z
- Repositorio
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- Institución
- Universidad Tecnológica Nacional
- OAI Identificador
- oai:ria.utn.edu.ar:20.500.12272/4873
Ver los metadatos del registro completo
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Characterization of SARS-CoV-2 Dynamics in the HostAbuin, PabloAnderson, AlejandroFerramosca, AntonioHernandez - VargasGonzález, AlejandroEQUILIBRIUM SETS CHARACTERIZATION , IN-HOST MODEL , SARS-COV-2 INFECTION , STABILITY ANALYSIS , COVID-19While many epidemiological models were proposed to understand and handle COVID-19 pandemic, too little has been invested to understand human viral replication and the potential use of novel antivirals to tackle the infection. In this work, using a control theoretical approach, validated mathematical models of SARS-CoV-2 in humans are characterized. A complete analysis of the main dynamic characteristic is developed based on the reproduction number. The equilibrium regions of the system are fully characterized, and the stability of such regions is formally established. Mathematical analysis highlights critical conditions to decrease monotonically SARS-CoV-2 in the host, as such conditions are relevant to tailor future antiviral treatments. Simulation results show the aforementioned system characterization.Fil: Abuin, Pablo. CONICET - Universidad Nacional del Litoral. Argentina.Fil: Ferramosca, Antonio. CONICET - UTN Facultad Regional Reconquista. Argentina.Fil: Hernandez - Vargas Esteban. Institute of Mathematics, UNAM, Mexico. Research Fellow, Frankfurt Institute for Advanced Studies. Germany.Fil: Gonzales, Alejandro. CONICET - Universidad Nacional del Litoral. Argentina.Fil: Anderson, Alejandro. CONICET - Universidad Nacional del Litoral. Argentina.Peer Reviewed2021-03-11T21:42:02Z2021-03-11T21:42:02Z2020-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdf1367-5788http://hdl.handle.net/20.500.12272/4873enginfo:eu-repo/semantics/openAccess2021-03-11T21:42:02ZN/Areponame:Repositorio Institucional Abierto (UTN)instname:Universidad Tecnológica Nacional2026-09-24T12:44:39Zoai:ria.utn.edu.ar:20.500.12272/4873instacron:UTNInstitucionalhttp://ria.utn.edu.ar/Universidad públicaNo correspondehttp://ria.utn.edu.ar/oaigestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:a2026-09-24 12:44:40.84Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacionalfalse |
| dc.title.none.fl_str_mv |
Characterization of SARS-CoV-2 Dynamics in the Host |
| title |
Characterization of SARS-CoV-2 Dynamics in the Host |
| spellingShingle |
Characterization of SARS-CoV-2 Dynamics in the Host Abuin, Pablo EQUILIBRIUM SETS CHARACTERIZATION , IN-HOST MODEL , SARS-COV-2 INFECTION , STABILITY ANALYSIS , COVID-19 |
| title_short |
Characterization of SARS-CoV-2 Dynamics in the Host |
| title_full |
Characterization of SARS-CoV-2 Dynamics in the Host |
| title_fullStr |
Characterization of SARS-CoV-2 Dynamics in the Host |
| title_full_unstemmed |
Characterization of SARS-CoV-2 Dynamics in the Host |
| title_sort |
Characterization of SARS-CoV-2 Dynamics in the Host |
| dc.creator.none.fl_str_mv |
Abuin, Pablo Anderson, Alejandro Ferramosca, Antonio Hernandez - Vargas González, Alejandro |
| author |
Abuin, Pablo |
| author_facet |
Abuin, Pablo Anderson, Alejandro Ferramosca, Antonio Hernandez - Vargas González, Alejandro |
| author_role |
author |
| author2 |
Anderson, Alejandro Ferramosca, Antonio Hernandez - Vargas González, Alejandro |
| author2_role |
author author author author |
| dc.subject.none.fl_str_mv |
EQUILIBRIUM SETS CHARACTERIZATION , IN-HOST MODEL , SARS-COV-2 INFECTION , STABILITY ANALYSIS , COVID-19 |
| topic |
EQUILIBRIUM SETS CHARACTERIZATION , IN-HOST MODEL , SARS-COV-2 INFECTION , STABILITY ANALYSIS , COVID-19 |
| dc.description.none.fl_txt_mv |
While many epidemiological models were proposed to understand and handle COVID-19 pandemic, too little has been invested to understand human viral replication and the potential use of novel antivirals to tackle the infection. In this work, using a control theoretical approach, validated mathematical models of SARS-CoV-2 in humans are characterized. A complete analysis of the main dynamic characteristic is developed based on the reproduction number. The equilibrium regions of the system are fully characterized, and the stability of such regions is formally established. Mathematical analysis highlights critical conditions to decrease monotonically SARS-CoV-2 in the host, as such conditions are relevant to tailor future antiviral treatments. Simulation results show the aforementioned system characterization. Fil: Abuin, Pablo. CONICET - Universidad Nacional del Litoral. Argentina. Fil: Ferramosca, Antonio. CONICET - UTN Facultad Regional Reconquista. Argentina. Fil: Hernandez - Vargas Esteban. Institute of Mathematics, UNAM, Mexico. Research Fellow, Frankfurt Institute for Advanced Studies. Germany. Fil: Gonzales, Alejandro. CONICET - Universidad Nacional del Litoral. Argentina. Fil: Anderson, Alejandro. CONICET - Universidad Nacional del Litoral. Argentina. Peer Reviewed |
| description |
While many epidemiological models were proposed to understand and handle COVID-19 pandemic, too little has been invested to understand human viral replication and the potential use of novel antivirals to tackle the infection. In this work, using a control theoretical approach, validated mathematical models of SARS-CoV-2 in humans are characterized. A complete analysis of the main dynamic characteristic is developed based on the reproduction number. The equilibrium regions of the system are fully characterized, and the stability of such regions is formally established. Mathematical analysis highlights critical conditions to decrease monotonically SARS-CoV-2 in the host, as such conditions are relevant to tailor future antiviral treatments. Simulation results show the aforementioned system characterization. |
| publishDate |
2020 |
| dc.date.none.fl_str_mv |
2020-06-01 2021-03-11T21:42:02Z 2021-03-11T21:42:02Z |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
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article |
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publishedVersion |
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1367-5788 http://hdl.handle.net/20.500.12272/4873 |
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1367-5788 |
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http://hdl.handle.net/20.500.12272/4873 |
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eng |
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eng |
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info:eu-repo/semantics/openAccess 2021-03-11T21:42:02Z N/A |
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openAccess |
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2021-03-11T21:42:02Z N/A |
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Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacional |
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gestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.ar |
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