Evidence map›Paper›PMID 34452030›Full record

ArticleVaccines2021

Disparities in COVID-19 Vaccination among Low-, Middle-, and High-Income Countries: The Mediating Role of Vaccination Policy.

Yuqi Duan, Junyi Shi, Zongbin Wang, Shuduo Zhou, Yinzi Jin, Zhi-Jie Zheng

Abstract read
In one paragraph

Article in Vaccines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

52 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Inequality in the distribution of Covid-19 vaccine: a systematic review.International journal for equity in health · 2022
    Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
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  9. Article
  10. The role of mRNA vaccines in infectious diseases: a new era of immunization.Tropical diseases, travel medicine and vaccines · 2025
    Review
  11. Article
  12. Article
  13. Observational
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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

6 authors.

Yuqi DuanDepartment of Global Health, School of Public Health, Peking University, Beijing 100191, China.
Junyi ShiDepartment of Global Health, School of Public Health, Peking University, Beijing 100191, China.ORCID 0000-0002-8512-4242
Zongbin WangDepartment of Global Health, School of Public Health, Peking University, Beijing 100191, China.
Shuduo ZhouDepartment of Global Health, School of Public Health, Peking University, Beijing 100191, China.ORCID 0000-0002-5463-3116
Yinzi JinDepartment of Global Health, School of Public Health, Peking University, Beijing 100191, China.ORCID 0000-0003-0634-3955
Zhi-Jie ZhengDepartment of Global Health, School of Public Health, Peking University, Beijing 100191, China.

Funding

Bill and Melinda Gates Foundation INV-016183National Natural Science Foundation of China No. 72042014
6 · The paper itself

Abstract

Inequity in the access to and deployment of the coronavirus disease 2019 (COVID-19) vaccines has brought about great challenges in terms of resolving the pandemic. Aiming to analyze the association between country income level and COVID-19 vaccination coverage and explore the mediating role of vaccination policy, we conducted a cross-sectional ecological study. The dependent variable was COVID-19 vaccination coverage in 138 countries as of May 31, 2021. A single-mediator model based on structural equation modeling was developed to analyze mediation effects in different country income groups. Compared with high-income countries, upper-middle- (

Indexed as

COVID-19 vaccineequitable accessincome levelmediation effectpolicy strength

Identifiers

PMID34452030
PMCPMC8402650

What OpenQuestion holds

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LicenceCC BY
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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.