Evaluation of Effectiveness of Global COVID-19 Vaccination Campaign

Daihai He; Sheikh Taslim Ali; Guihong Fan; Daozhou Gao; Haitao Song; Yijun Lou; Shi Zhao; Benjamin J. Cowling; Lewi Stone

doi:10.3201/eid2809.212226

Evaluation of Effectiveness of Global COVID-19 Vaccination Campaign

Daihai He
, Sheikh Taslim Ali
, Guihong Fan
, Daozhou Gao
, Haitao Song
, Yijun Lou
, Shi Zhao
, Benjamin J. Cowling
, Lewi Stone

Mathematics and Statistics

Research output: Contribution to journal › Article › peer-review

25 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	1873-1876
Number of pages	4
Journal	Emerging Infectious Diseases
Volume	28
Issue number	9
DOIs	https://doi.org/10.3201/eid2809.212226
State	Published - Sep 1 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Access to Document

10.3201/eid2809.212226

Cite this

@article{cec9e0691c68405097f759e95daec76a,

title = "Evaluation of Effectiveness of Global COVID-19 Vaccination Campaign",

abstract = "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.",

author = "Daihai He and Ali, \{Sheikh Taslim\} and Guihong Fan and Daozhou Gao and Haitao Song and Yijun Lou and Shi Zhao and Cowling, \{Benjamin J.\} and Lewi Stone",

year = "2022",

month = sep,

day = "1",

doi = "10.3201/eid2809.212226",

language = "English",

volume = "28",

pages = "1873--1876",

journal = "Emerging Infectious Diseases",

issn = "1080-6040",

publisher = "Centers for Disease Control and Prevention (CDC)",

number = "9",

}

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

PY - 2022/9/1

Y1 - 2022/9/1

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 - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85137008020&origin=inward

UR - https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85137008020&origin=inward

U2 - 10.3201/eid2809.212226

DO - 10.3201/eid2809.212226

M3 - Article

C2 - 35914516

SN - 1080-6040

VL - 28

SP - 1873

EP - 1876

JO - Emerging Infectious Diseases

JF - Emerging Infectious Diseases

IS - 9

ER -

Evaluation of Effectiveness of Global COVID-19 Vaccination Campaign

Abstract

UN SDGs

Access to Document

Other files and links

Cite this