Effectiveness of COVID-19 Vaccines: Evidence from the First-Year Rollout of Vaccination Programs
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , |
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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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 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
MDPI |
publisher.none.fl_str_mv |
MDPI |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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 |
repository.mail.fl_str_mv |
|
_version_ |
1799134096314597376 |