- -

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

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

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

Mostrar el registro sencillo del ítem

Ficheros en el ítem

dc.contributor.author Martínez-Rodríguez, David es_ES
dc.contributor.author González Parra, Gilberto es_ES
dc.contributor.author Villanueva Micó, Rafael Jacinto es_ES
dc.date.accessioned 2022-02-18T19:02:11Z
dc.date.available 2022-02-18T19:02:11Z
dc.date.issued 2021-04-01 es_ES
dc.identifier.uri http://hdl.handle.net/10251/180977
dc.description.abstract [EN] 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. es_ES
dc.description.sponsorship Funding support from the National Institute of General Medical Sciences (P20GM103451) via NM-INBRE is gratefully acknowledged by the second author es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Epidemiologia es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject SARS-CoV-2 virus es_ES
dc.subject Vaccination es_ES
dc.subject Mathematical modeling es_ES
dc.subject Simulation es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.title Analysis of Key Factors of a SARS-CoV-2 Vaccination Program: A Mathematical Modeling Approach es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/epidemiologia2020012 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/NIGMS//P20 GM103451/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario de Matemática Multidisciplinar - Institut Universitari de Matemàtica Multidisciplinària es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada es_ES
dc.description.bibliographicCitation Martínez-Rodríguez, D.; González Parra, G.; Villanueva Micó, RJ. (2021). Analysis of Key Factors of a SARS-CoV-2 Vaccination Program: A Mathematical Modeling Approach. Epidemiologia. 2(2):140-161. https://doi.org/10.3390/epidemiologia2020012 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/epidemiologia2020012 es_ES
dc.description.upvformatpinicio 140 es_ES
dc.description.upvformatpfin 161 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 2 es_ES
dc.description.issue 2 es_ES
dc.identifier.eissn 2673-3986 es_ES
dc.identifier.pmid 35141702 es_ES
dc.identifier.pmcid PMC8824484 es_ES
dc.relation.pasarela S\432727 es_ES
dc.contributor.funder National Institute of General Medical Sciences, EEUU es_ES


Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem