Evidence map›Paper›PMID 40346086›Full record

ArticleNPJ vaccines2025

Global socioeconomic inequalities in vaccination coverage, supply, and confidence.

Qiang Wang, Kathy Leung, Mark Jit, Joseph T Wu, Leesa Lin

Abstract read
In one paragraph

Article in NPJ vaccines, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 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

5 authors.

Qiang WangLaboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong Special Administrative Region, Hong Kong, China.
Kathy LeungLaboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong Special Administrative Region, Hong Kong, China.
Mark JitLaboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong Special Administrative Region, Hong Kong, China.
Joseph T WuLaboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong Special Administrative Region, Hong Kong, China.
Leesa LinLaboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong Special Administrative Region, Hong Kong, China. Leesa.Lin@lshtm.ac.uk.

Funding

Innovation and Technology Commission AIR@InnoHK
6 · The paper itself

Abstract

Sustainable Development Goal (SDG) adopted in 2015 aim to reduce inequalities and achieve universal health coverage, including access to essential vaccines for all. Using data from WHO, the Vaccine Confidence Project™, World Bank, and UNDP, we analyzed between-country inequalities in coverage of four vaccines (DTP1, DTP3, MCV1, and POL3), vaccine stock-outs, and vaccine confidence. Economic- and education-related inequalities in coverage (measured by the concentration index) declined from 2015 to 2019, increased in 2020, peaked in 2021, and have declined again since 2022. Inequalities increased continuously in the Region of the Americas. Over 2015-2022, 94 countries/territories reported at least one national level DTP-containing vaccine stock-out. Countries/territories with higher income or education attainment showed lower vaccine confidence. Our study underscores the decrease of inequalities in vaccination coverage following the SDG adoption in most regions, and emphasizes the need to address vaccine stock-outs and strength the vaccine confidence.

Identifiers

PMID40346086
PMCPMC12064651

What OpenQuestion holds

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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.