TY - JOUR
T1 - Effectiveness of COVID-19 Vaccines
T2 - Evidence from the First-Year Rollout of Vaccination Programs
AU - Antonio, Nuno
AU - Rita, Paulo
AU - Saraiva, Pedro
N1 - info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04152%2F2020/PT#
Antonio, N., Rita, P., & Saraiva, P. (2022). Effectiveness of COVID-19 Vaccines: Evidence from the First-Year Rollout of Vaccination Programs. Vaccines, 10(3), 1-19. [409]. https://doi.org/10.3390/vaccines10030409 ----------------
The work by Nuno António, Paulo Rita, and Pedro Saraiva was supported by Fundação para a Ciência e a Tecnologia (FCT) within the Project: UIDB/04152/2020-Centro de Investigação em Gestão de Informação (MagIC).
PY - 2022/3/9
Y1 - 2022/3/9
N2 - 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.
AB - 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.
KW - Vaccination impacts
KW - Data science
KW - Statistical models
KW - Saving lives
UR - https://github.com/owid/COVID-19-data
UR - http://www.scopus.com/inward/record.url?scp=85126569559&partnerID=8YFLogxK
UR - https://www.webofscience.com/wos/woscc/full-record/WOS:000774375400001
U2 - 10.3390/vaccines10030409
DO - 10.3390/vaccines10030409
M3 - Article
VL - 10
SP - 1
EP - 19
JO - Vaccines
JF - Vaccines
IS - 3
M1 - 409
ER -