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The Effect of the COVID-19 Vaccine on Daily Cases and Deaths Based on Global Vaccine Data.
Li, Zhiwei; Liu, Xiangtong; Liu, Mengyang; Wu, Zhiyuan; Liu, Yue; Li, Weiming; Liu, Mengmeng; Wang, Xiaonan; Gao, Bo; Luo, Yanxia; Li, Xia; Tao, Lixin; Wang, Wei; Guo, Xiuhua.
  • Li Z; Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, 10 Xi-Tou-Tiao, You-An-Men Street, Fengtai District, Beijing 100069, China.
  • Liu X; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100071, China.
  • Liu M; Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, 10 Xi-Tou-Tiao, You-An-Men Street, Fengtai District, Beijing 100069, China.
  • Wu Z; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100071, China.
  • Liu Y; Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, 10 Xi-Tou-Tiao, You-An-Men Street, Fengtai District, Beijing 100069, China.
  • Li W; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100071, China.
  • Liu M; Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, 10 Xi-Tou-Tiao, You-An-Men Street, Fengtai District, Beijing 100069, China.
  • Wang X; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100071, China.
  • Gao B; Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, 10 Xi-Tou-Tiao, You-An-Men Street, Fengtai District, Beijing 100069, China.
  • Luo Y; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100071, China.
  • Li X; Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, 10 Xi-Tou-Tiao, You-An-Men Street, Fengtai District, Beijing 100069, China.
  • Tao L; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100071, China.
  • Wang W; Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, 10 Xi-Tou-Tiao, You-An-Men Street, Fengtai District, Beijing 100069, China.
  • Guo X; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100071, China.
Vaccines (Basel) ; 9(11)2021 Nov 15.
Article in English | MEDLINE | ID: covidwho-1524212
ABSTRACT

BACKGROUND:

Coronavirus disease 2019 (COVID-19), a global pandemic, has caused over 216 million cases and 4.50 million deaths as of 30 August 2021. Vaccines can be regarded as one of the most powerful weapons to eliminate the pandemic, but the impact of vaccines on daily COVID-19 cases and deaths by country is unclear. This study aimed to investigate the correlation between vaccines and daily newly confirmed cases and deaths of COVID-19 in each country worldwide.

METHODS:

Daily data on firstly vaccinated people, fully vaccinated people, new cases and new deaths of COVID-19 were collected from 187 countries. First, we used a generalized additive model (GAM) to analyze the association between daily vaccinated people and daily new cases and deaths of COVID-19. Second, a random effects meta-analysis was conducted to calculate the global pooled results.

RESULTS:

In total, 187 countries and regions were included in the study. During the study period, 1,011,918,763 doses of vaccine were administered, 540,623,907 people received at least one dose of vaccine, and 230,501,824 people received two doses. For the relationship between vaccination and daily increasing cases of COVID-19, the results showed that daily increasing cases of COVID-19 would be reduced by 24.43% [95% CI 18.89, 29.59] and 7.50% [95% CI 6.18, 8.80] with 10,000 fully vaccinated people per day and at least one dose of vaccine, respectively. Daily increasing deaths of COVID-19 would be reduced by 13.32% [95% CI 3.81, 21.89] and 2.02% [95% CI 0.18, 4.16] with 10,000 fully vaccinated people per day and at least one dose of vaccine, respectively.

CONCLUSIONS:

These findings showed that vaccination can effectively reduce the new cases and deaths of COVID-19, but vaccines are not distributed fairly worldwide. There is an urgent need to accelerate the speed of vaccination and promote its fair distribution across countries.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Randomized controlled trials / Reviews Topics: Vaccines Language: English Year: 2021 Document Type: Article Affiliation country: Vaccines9111328

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Randomized controlled trials / Reviews Topics: Vaccines Language: English Year: 2021 Document Type: Article Affiliation country: Vaccines9111328