Mostrar el registro sencillo del ítem
dc.contributor.author
Duran, Guillermo Alfredo

dc.contributor.author
Durán, Manuel
dc.contributor.author
Farall, Andrés
dc.contributor.author
García, Jemina
dc.contributor.author
Parada, Daniela Laura

dc.contributor.author
Salgado Corrado, Ariel Olaf

dc.date.available
2025-04-15T15:31:45Z
dc.date.issued
2024-02
dc.identifier.citation
Duran, Guillermo Alfredo; Durán, Manuel; Farall, Andrés; García, Jemina; Parada, Daniela Laura; et al.; Impact of the COVID-19 vaccination campaigns in Argentina during 2021: An observational quantification of the death probability for confirmed cases in Buenos Aires province; Elsevier; Heliyon; 10; 5; 2-2024; 1-14
dc.identifier.issn
2405-8440
dc.identifier.uri
http://hdl.handle.net/11336/258862
dc.description.abstract
Background: A SARS-CoV-2 (COVID-19) vaccination campaign was launched in Argentina in January 2021. The vaccines then available were administered to the population in several different schemes. This observational study presents a quantification of the impact of the different schemes on the probability of death for confirmed COVID-19 cases in Argentina’s Buenos Aires Province. The results provide a local measure of the schemes’ effectiveness that heretofore has been lacking. Methods: The study’s main source of information is the Integrated Health Information System database, which contains 1,538,113 records of confirmed SARS-CoV-2 (COVID-19) cases reported in 2021 in the Province. To assess the real-world effectiveness of the vaccination campaign, two categorical variables representing vaccination status were defined. Probability of death was formulated as a generalized linear model with a logistic link and includes variables for geography, a socio-economic level index, symptom onset, sex, and vaccination status. The effectiveness level was derived from the death probability estimates. Findings: The study’s findings indicated that the most effective vaccine was rAd26-rAd5 (Sputnik), with ChAdOx1-S (AZ/Covishield) and BBIBPCorV (Sinopharm) following in efficacy, for both single and multiple doses. The effectiveness of a single dose was consistently below 50%, while it ranged from 50% to 90% for two or more doses. Notably, the analysis of variables such as the municipality of residence of the infected persons and the season of symptom onset yielded particularly intriguing insights. The socioeconomic level of a municipality emerged as a moderately strong predictor of the probability of death, which was marginally higher in municipalities with lower-income populations. Additionally, the data revealed an increased probability of death during the winter season. Interpretation: The vaccination campaigns carried out in Buenos Aires Province in 2021 significantly contributed to reducing the number of deaths due to SARS-CoV-2 (COVID-19) among its population. However, the extent of this impact varied considerably depending on individual characteristics such as age, health status, and vaccination schedule adherence.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier

dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.subject
REAL WORLD EFFECTIVENESS
dc.subject
COVID-19
dc.subject
GENERALIZED LINEAR MODELS
dc.subject
VACCINATION
dc.subject.classification
Matemática Aplicada

dc.subject.classification
Matemáticas

dc.subject.classification
CIENCIAS NATURALES Y EXACTAS

dc.title
Impact of the COVID-19 vaccination campaigns in Argentina during 2021: An observational quantification of the death probability for confirmed cases in Buenos Aires province
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2025-04-14T10:47:46Z
dc.journal.volume
10
dc.journal.number
5
dc.journal.pagination
1-14
dc.journal.pais
Reino Unido

dc.description.fil
Fil: Duran, Guillermo Alfredo. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Matemática; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Calculo. - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Calculo; Argentina
dc.description.fil
Fil: Durán, Manuel. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina
dc.description.fil
Fil: Farall, Andrés. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Calculo. - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Calculo; Argentina
dc.description.fil
Fil: García, Jemina. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina
dc.description.fil
Fil: Parada, Daniela Laura. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Calculo. - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Calculo; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Matemática; Argentina
dc.description.fil
Fil: Salgado Corrado, Ariel Olaf. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Calculo. - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Calculo; Argentina
dc.journal.title
Heliyon
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S2405844024023417
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.heliyon.2024.e26310
Archivos asociados