Effectiveness of COVID-19 Vaccines: Evidence from the First-Year Rollout of Vaccination Programs

Detalhes bibliográficos
Autor(a) principal: Antonio, Nuno
Data de Publicação: 2022
Outros Autores: Rita, Paulo, Saraiva, Pedro
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/103518
https://doi.org/10.3390/vaccines10030409
Resumo: The COVID-19 pandemic has raised a number of new realities, sets of data, and opportunities for data-driven approaches, decisions, and conclusions. One particular area for which developments and data have been made available in record time is related to vaccines and their impacts on health conditions and saving lives. In this article, we use public domain information to study the prevalence of vaccines in different countries and how they can save lives. We conclude that there are different clusters of countries, for some of which solid statistical models were built, and show that vaccination rates provide significant contributions to saving lives in such countries, with impacts that can be computed by simulations based upon these models.
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spelling Effectiveness of COVID-19 Vaccines: Evidence from the First-Year Rollout of Vaccination ProgramsCOVID-19vaccination impactsdata sciencestatistical modelssaving livesThe COVID-19 pandemic has raised a number of new realities, sets of data, and opportunities for data-driven approaches, decisions, and conclusions. One particular area for which developments and data have been made available in record time is related to vaccines and their impacts on health conditions and saving lives. In this article, we use public domain information to study the prevalence of vaccines in different countries and how they can save lives. We conclude that there are different clusters of countries, for some of which solid statistical models were built, and show that vaccination rates provide significant contributions to saving lives in such countries, with impacts that can be computed by simulations based upon these models.MDPI2022-03-09info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/103518http://hdl.handle.net/10316/103518https://doi.org/10.3390/vaccines10030409eng2076-393XAntonio, NunoRita, PauloSaraiva, Pedroinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-11-17T21:33:30Zoai:estudogeral.uc.pt:10316/103518Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:20:20.492749Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Effectiveness of COVID-19 Vaccines: Evidence from the First-Year Rollout of Vaccination Programs
title Effectiveness of COVID-19 Vaccines: Evidence from the First-Year Rollout of Vaccination Programs
spellingShingle Effectiveness of COVID-19 Vaccines: Evidence from the First-Year Rollout of Vaccination Programs
Antonio, Nuno
COVID-19
vaccination impacts
data science
statistical models
saving lives
title_short Effectiveness of COVID-19 Vaccines: Evidence from the First-Year Rollout of Vaccination Programs
title_full Effectiveness of COVID-19 Vaccines: Evidence from the First-Year Rollout of Vaccination Programs
title_fullStr Effectiveness of COVID-19 Vaccines: Evidence from the First-Year Rollout of Vaccination Programs
title_full_unstemmed Effectiveness of COVID-19 Vaccines: Evidence from the First-Year Rollout of Vaccination Programs
title_sort Effectiveness of COVID-19 Vaccines: Evidence from the First-Year Rollout of Vaccination Programs
author Antonio, Nuno
author_facet Antonio, Nuno
Rita, Paulo
Saraiva, Pedro
author_role author
author2 Rita, Paulo
Saraiva, Pedro
author2_role author
author
dc.contributor.author.fl_str_mv Antonio, Nuno
Rita, Paulo
Saraiva, Pedro
dc.subject.por.fl_str_mv COVID-19
vaccination impacts
data science
statistical models
saving lives
topic COVID-19
vaccination impacts
data science
statistical models
saving lives
description The COVID-19 pandemic has raised a number of new realities, sets of data, and opportunities for data-driven approaches, decisions, and conclusions. One particular area for which developments and data have been made available in record time is related to vaccines and their impacts on health conditions and saving lives. In this article, we use public domain information to study the prevalence of vaccines in different countries and how they can save lives. We conclude that there are different clusters of countries, for some of which solid statistical models were built, and show that vaccination rates provide significant contributions to saving lives in such countries, with impacts that can be computed by simulations based upon these models.
publishDate 2022
dc.date.none.fl_str_mv 2022-03-09
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10316/103518
http://hdl.handle.net/10316/103518
https://doi.org/10.3390/vaccines10030409
url http://hdl.handle.net/10316/103518
https://doi.org/10.3390/vaccines10030409
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2076-393X
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dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
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repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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