Evidence map›Paper›PMID 40729271›Full record

ArticlePLoS medicine2025

Progress and inequality in child immunization in 38 African countries, 2000-2030: A spatio-temporal Bayesian analysis at national and sub-national levels.

Phuong The Nguyen, Ryota Nakamura, Hideyasu Shimadzu, Aminu Kende Abubakar, Phuong Mai Le, Huy Van Nguyen, Hoa L Nguyen, Motohiro Sato, Ayako Honda, Stuart Gilmour

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Article in PLoS medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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0cells of the map it votes in
6citing 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

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3 · Its place in the literature

Who cites it

6 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

10 authors.

Phuong The NguyenResearch Center for Health Policy and Economics, Hitotsubashi Institute for Advanced Study (HIAS), Hitotsubashi University, Tokyo, Japan.ORCID https://orcid.org/0000-0002-5093-9767
Ryota NakamuraDepartment of Global Health and Development, London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID https://orcid.org/0000-0002-3217-6452
Hideyasu ShimadzuDepartment of Data Science, Kitasato University, Kanagawa, Japan.ORCID https://orcid.org/0000-0003-0919-8829
Aminu Kende AbubakarDivision of Population Data Science, National Cancer Center Institute for Cancer Control, Tokyo, Japan.ORCID https://orcid.org/0009-0009-8902-081X
Phuong Mai LeDepartment of International Trials, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0002-5946-6839
Huy Van NguyenHealth Innovation and Transformation Centre, Federation University, Ballarat, Victoria, Australia.ORCID https://orcid.org/0000-0002-5896-9661
Hoa L NguyenDepartment of Population and Quantitative Health Sciences, UMass Chan Medical School, Worcester, Massachusetts, United States of America.ORCID https://orcid.org/0000-0002-4998-8510
Motohiro SatoResearch Center for Health Policy and Economics, Hitotsubashi Institute for Advanced Study (HIAS), Hitotsubashi University, Tokyo, Japan.
Ayako HondaResearch Center for Health Policy and Economics, Hitotsubashi Institute for Advanced Study (HIAS), Hitotsubashi University, Tokyo, Japan.ORCID https://orcid.org/0000-0001-6058-7323
Stuart GilmourGraduate School of Public Health, St. Luke's International University, Tokyo, Japan.ORCID https://orcid.org/0000-0002-6556-0995

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMonitoring progress and inequality in childhood immunization coverage at both national and sub-national levels is essential for refining equity-oriented health programs and ensuring equitable access to care towards achieving global targets in African countries. METHODS AND

findingsUsing approximately 1 million records from 104 nationally representative Demographic and Health Surveys (DHS) conducted in 38 African countries (2000-2019), we estimated childhood immunization coverage for key indicators (BCG, MCV1, DPT3, Polio3, and Full immunization), stratified by socioeconomic status. Variations of Bayesian spatio-temporal analysis using Besag, Besag-York-Mollié (BYM) and BYM2 models were employed to assess and project the trends from 2000 to 2030. We evaluated the probability of achieving Universal Health Coverage (80% coverage) and Immunization Agenda (90% coverage) by 2030, at national and sub-national levels. Finally, we conducted a comprehensive inequality analysis using the Slope Index of Inequality (SII) and Relative Index of Inequality (RII) to assess changes over the study period. Childhood immunization coverage improved significantly across most African countries from 2000 to 2019. However, projections suggest that 12 countries are unlikely to achieve global targets for full immunization by 2030 at the national level if current trends continue. Notably, high-Socio-Demographic Index (SDI) countries such as South Africa, Egypt, and Congo Brazzaville are projected to miss immunization targets across all sub-national regions. While socioeconomic inequalities were widespread in 2000, they are projected to decline or stabilize in 36 countries by 2030, with Eswatini, Morocco, Rwanda, and Burkina Faso expected to eliminate disparities. In contrast, Nigeria and Angola are projected to face increasing inequalities or persistent large gaps. Regional disparities in both coverage and inequality remain pronounced, particularly in Central and Western Africa, where coverage remains low and inequality remains high despite overall national-level improvements. The analysis was limited to DHS surveys 2000-2019, excluding more recent data during the COVID-19 period and potentially overestimating trends in data-sparse settings.

conclusionsThis study highlights both progress and persistent challenges in childhood immunization coverage, along with inequalities across 38 African countries. Persistent regional disparities and socioeconomic inequalities require multifaceted strategies that account for demographic, geographic, economic, and political factors to ensure equitable immunization. Greater efforts are needed to close these gaps and support global health goals for the African nations.

Indexed as

Healthcare DisparitiesImmunizationImmunization ProgramsVaccination CoverageAfricaBayes TheoremChildChild, PreschoolFemaleHumansInfantMaleSocioeconomic FactorsSpatio-Temporal Analysis

Identifiers

PMID40729271
PMCPMC12306735

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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.