Evidence map›Paper›PMID 36785805›Full record

ArticleGlobal health journal (Amsterdam, Netherlands)2023

Global pattern and determinants of coronavirus disease 2019 (COVID-19) vaccine coverage and progression: a global ecological study.

Huihao Wang, Bin Yu, Xinguang Chen, Hong Yan

Abstract read
In one paragraph

Article in Global health journal (Amsterdam, Netherlands), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

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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

4 authors.

Huihao WangDepartment of Epidemiology and Health Statistics, School of Public Health, Wuhan University, Wuhan, Hubei 430000, China.
Bin YuDepartment of Epidemiology and Health Statistics, School of Public Health, Wuhan University, Wuhan, Hubei 430000, China.
Xinguang ChenGlobal Health Institute, Wuhan University, Wuhan, Hubei 430000, China.
Hong YanDepartment of Epidemiology and Health Statistics, School of Public Health, Wuhan University, Wuhan, Hubei 430000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Understanding and minimizing existing global coronavirus disease 2019 Methods: COVID-19 vaccination coverage data from 206 countries used in the study were derived from "Our World in Data" website. After obtaining the vaccination coverage indicators, we fitted the progression indicators for vaccination. Correlation and multiple linear regression analysis were used to examine the effects of gross domestic product (GDP) per capita, Gini index, education, and their interactions on the coverage and progression of the COVID-19 vaccination. Results: The coverage of COVID-19 vaccination ranged from less than 30 doses to more than 150 doses per hundred people, from less than 15% to more than 75% for proportion of people vaccinated, from less than 15% to more than 60% for proportion of people fully vaccinated. Similarly, the progression of vaccination ranged from less than 0.1 to more than 0.6 for progression of total number of doses, from less than 0.1 to more than 0.3 for progression of proportion of people vaccinated, and from less than 0.1 to more than 0.4 for progression of proportion of people fully vaccinated. GDP per capita and education were positively associated with the coverage and progression, while Gini index was negatively associated with the coverage and progression. Negative interaction between GDP per capita and education was also observed for coverage ( Conclusions: Substantial geographic disparities existed for the coverage and progression of COVID-19 vaccination. Economy and education are two important factors contributing to the disparities. Different countries may adopt varied strategies to promote the national distribution and vaccination of COVID-19 vaccines.

Indexed as

Coronavirus disease 2019 (COVID-19)EducationGDP per capitaGini indexVaccination

Identifiers

PMID36785805
PMCPMC9908428

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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.