TY - JOUR
T1 - Evaluation of Effectiveness of Global COVID-19 Vaccination Campaign
AU - He, Daihai
AU - Ali, Sheikh Taslim
AU - Fan, Guihong
AU - Gao, Daozhou
AU - Song, Haitao
AU - Lou, Yijun
AU - Zhao, Shi
AU - Cowling, Benjamin J.
AU - Stone, Lewi
N1 - Publisher Copyright:
© 2022 Centers for Disease Control and Prevention (CDC). All rights reserved.
PY - 2022/9
Y1 - 2022/9
N2 - To model estimated deaths averted by COVID-19 vaccines, we used state-of-the-art mathematical modeling, likelihood-based inference, and reported COVID-19 death and vaccination data. We estimated that >1.5 million deaths were averted in 12 countries. Our model can help assess effectiveness of the vaccination program, which is crucial for curbing the COVID-19 pandemic.
AB - To model estimated deaths averted by COVID-19 vaccines, we used state-of-the-art mathematical modeling, likelihood-based inference, and reported COVID-19 death and vaccination data. We estimated that >1.5 million deaths were averted in 12 countries. Our model can help assess effectiveness of the vaccination program, which is crucial for curbing the COVID-19 pandemic.
UR - http://www.scopus.com/inward/record.url?scp=85137008020&partnerID=8YFLogxK
U2 - 10.3201/eid2809.212226
DO - 10.3201/eid2809.212226
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C2 - 35914516
AN - SCOPUS:85137008020
SN - 1080-6040
VL - 28
SP - 1873
EP - 1876
JO - Emerging Infectious Diseases
JF - Emerging Infectious Diseases
IS - 9
ER -
