Evidence map›Paper›PMID 36851170›Full record

ArticleVaccines2023

Effectiveness of Inactivated COVID-19 Vaccines against Delta-Variant COVID-19: Evidence from an Outbreak in Inner Mongolia Autonomous Region, China.

Chao Ma, Chang Huang, Wenrui Wang, Yudan Song, Xiaofeng Jiang, Xiaoling Tian, Boxi Liu, Fuli Chi, Shengli Lang, Dongyan Liu and 8 more

Open access · goldAbstract read
In one paragraph

Article in Vaccines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 28% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 3 institutions in 1 country.

Chao MaNational Immunization Program, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Chang HuangNanning Center for Disease Control and Prevention, Nanning 530023, China.ORCID 0000-0002-9782-9880
Wenrui WangCenter for Disease Control and Prevention of Inner Mongolia, Huhehot 010031, China.
Yudan SongNational Immunization Program, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Xiaofeng JiangCenter for Disease Control and Prevention of Inner Mongolia, Huhehot 010031, China.
Xiaoling TianCenter for Disease Control and Prevention of Inner Mongolia, Huhehot 010031, China.
Boxi LiuCenter for Disease Control and Prevention of Inner Mongolia, Huhehot 010031, China.
Fuli ChiCenter for Disease Control and Prevention of Inner Mongolia, Huhehot 010031, China.
Shengli LangCenter for Disease Control and Prevention of Inner Mongolia, Huhehot 010031, China.
Dongyan LiuCenter for Disease Control and Prevention of Hulunbuir Prefecture, Hulunbuir 021008, China.
Weiwei SunChinese Field Epidemiology Training Program (CFETP), Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Lin TangNational Immunization Program, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Dan WuNational Immunization Program, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Yifan SongNational Immunization Program, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Junhong LiNational Immunization Program, Chinese Center for Disease Control and Prevention, Beijing 100050, China.ORCID 0000-0001-8678-0666
Lance RodewaldNational Immunization Program, Chinese Center for Disease Control and Prevention, Beijing 100050, China.ORCID 0000-0003-2593-542X
Zundong YinNational Immunization Program, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Zhijie AnNational Immunization Program, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Chinese Center For Disease Control and Prevention · CNInner Mongolia Comprehensive Disease Prevention and Control Center · CNHulunbuir University · CN

Funding

The Emergency Response Mechanism Operation Program 131031001000200001
6 · The paper itself

Abstract

Phase 3 clinical trials and real-world effectiveness studies showed that China's two main inactivated COVID-19 vaccines are very effective against serious illness. In November 2021, an outbreak occurred in the Inner Mongolia Autonomous Region that provided an opportunity to assess the vaccine effectiveness (VE) of these inactivated vaccines against COVID-19 caused by the delta variant. We evaluated VE with a retrospective cohort study of close contacts of infected individuals, using a generalized linear model with binomial distribution and log-link function to estimate risk ratios (RR) and VE. A total of 8842 close contacts were studied. Compared with no vaccination and adjusted for age, presence of comorbidity, and time since last vaccination, full vaccination reduced symptomatic infection by 62%, pneumonia by 64% and severe COVID-19 by 90%; reductions associated with homologous booster doses were 83% for symptomatic infection, 92% for pneumonia and 100% for severe COVID-19. There was no significant decline in two-dose VE for any outcome for up to 325 days following the last dose. There were no differences by vaccine brand. Inactivated vaccines were effective against delta-variant illness, and were highly effective against pneumonia and severe COVID-19; VE was increased by booster doses.

Indexed as

Chinadelta variantinactivated COVID-19 vaccinesoutbreakvaccines effectiveness

Identifiers

PMID36851170
PMCPMC9961555
OpenAlexW4318478907

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.