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Analysis of Key Factors of a SARS-CoV-2 Vaccination Program: A Mathematical Modeling Approach

The administration of vaccines against the coronavirus disease 2019 (COVID-19) started in early December of 2020. Currently, there are only a few approved vaccines, each with different efficacies and mechanisms of action. Moreover, vaccination programs in different regions may vary due to difference...

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Detalles Bibliográficos
Autores principales: Martínez-Rodríguez, David, Gonzalez-Parra, Gilberto, Villanueva, Rafael-J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8824484/
https://www.ncbi.nlm.nih.gov/pubmed/35141702
http://dx.doi.org/10.3390/epidemiologia2020012
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author Martínez-Rodríguez, David
Gonzalez-Parra, Gilberto
Villanueva, Rafael-J.
author_facet Martínez-Rodríguez, David
Gonzalez-Parra, Gilberto
Villanueva, Rafael-J.
author_sort Martínez-Rodríguez, David
collection PubMed
description The administration of vaccines against the coronavirus disease 2019 (COVID-19) started in early December of 2020. Currently, there are only a few approved vaccines, each with different efficacies and mechanisms of action. Moreover, vaccination programs in different regions may vary due to differences in implementation, for instance, simply the availability of the vaccine. In this article, we study the impact of the pace of vaccination and the intrinsic efficacy of the vaccine on prevalence, hospitalizations, and deaths related to the SARS-CoV-2 virus. Then we study different potential scenarios regarding the burden of the COVID-19 pandemic in the near future. We construct a compartmental mathematical model and use computational methodologies to study these different scenarios. Thus, we are able to identify some key factors to reach the aims of the vaccination programs. We use some metrics related to the outcomes of the COVID-19 pandemic in order to assess the impact of the efficacy of the vaccine and the pace of the vaccine inoculation. We found that both factors have a high impact on the outcomes. However, the rate of vaccine administration has a higher impact in reducing the burden of the COVID-19 pandemic. This result shows that health institutions need to focus on increasing the vaccine inoculation pace and create awareness in the population about the importance of COVID-19 vaccines.
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spelling pubmed-88244842022-02-08 Analysis of Key Factors of a SARS-CoV-2 Vaccination Program: A Mathematical Modeling Approach Martínez-Rodríguez, David Gonzalez-Parra, Gilberto Villanueva, Rafael-J. Epidemiologia (Basel) Article The administration of vaccines against the coronavirus disease 2019 (COVID-19) started in early December of 2020. Currently, there are only a few approved vaccines, each with different efficacies and mechanisms of action. Moreover, vaccination programs in different regions may vary due to differences in implementation, for instance, simply the availability of the vaccine. In this article, we study the impact of the pace of vaccination and the intrinsic efficacy of the vaccine on prevalence, hospitalizations, and deaths related to the SARS-CoV-2 virus. Then we study different potential scenarios regarding the burden of the COVID-19 pandemic in the near future. We construct a compartmental mathematical model and use computational methodologies to study these different scenarios. Thus, we are able to identify some key factors to reach the aims of the vaccination programs. We use some metrics related to the outcomes of the COVID-19 pandemic in order to assess the impact of the efficacy of the vaccine and the pace of the vaccine inoculation. We found that both factors have a high impact on the outcomes. However, the rate of vaccine administration has a higher impact in reducing the burden of the COVID-19 pandemic. This result shows that health institutions need to focus on increasing the vaccine inoculation pace and create awareness in the population about the importance of COVID-19 vaccines. MDPI 2021-04-01 /pmc/articles/PMC8824484/ /pubmed/35141702 http://dx.doi.org/10.3390/epidemiologia2020012 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Martínez-Rodríguez, David
Gonzalez-Parra, Gilberto
Villanueva, Rafael-J.
Analysis of Key Factors of a SARS-CoV-2 Vaccination Program: A Mathematical Modeling Approach
title Analysis of Key Factors of a SARS-CoV-2 Vaccination Program: A Mathematical Modeling Approach
title_full Analysis of Key Factors of a SARS-CoV-2 Vaccination Program: A Mathematical Modeling Approach
title_fullStr Analysis of Key Factors of a SARS-CoV-2 Vaccination Program: A Mathematical Modeling Approach
title_full_unstemmed Analysis of Key Factors of a SARS-CoV-2 Vaccination Program: A Mathematical Modeling Approach
title_short Analysis of Key Factors of a SARS-CoV-2 Vaccination Program: A Mathematical Modeling Approach
title_sort analysis of key factors of a sars-cov-2 vaccination program: a mathematical modeling approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8824484/
https://www.ncbi.nlm.nih.gov/pubmed/35141702
http://dx.doi.org/10.3390/epidemiologia2020012
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