Evidence map›Paper›PMID 41782060›Full record

SynthesisArchives of public health = Archives belges de sante publique2026

Mpox vaccination uptake and acceptance in the Democratic Republic of Congo: a systematic review and meta-analysis.

Fabrice Zobel Lekeumo Cheuyem, Adidja Amani, Adamu Abubakar Umar, Chabeja Achangwa, Brian Ngongheh Ajong, Solange Dabou, Jessy Goupeyou-Youmsi, Guy Roger Pilo Ndibo, Rick Tchamani, Eno Ethel Ambo and 2 more

Abstract readSystematic Review
In one paragraph

Synthesis in Archives of public health = Archives belges de sante publique, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Fabrice Zobel Lekeumo CheuyemDepartment of Public Health, Faculty of Medicine and Biomedical Sciences, The University of Yaoundé 1, Yaoundé, Cameroon. zobelcheuyem@gmail.com.
Adidja AmaniDepartment of Public Health, Faculty of Medicine and Biomedical Sciences, The University of Yaoundé 1, Yaoundé, Cameroon.
Adamu Abubakar UmarDepartment of Mathematics, University of Manchester, Manchester, UK.
Chabeja AchangwaDepartment of Public Health, Faculty of Medical Sciences, University of West Indies, Bridgetown, Barbados.
Brian Ngongheh AjongHealth Emergencies Programme, World Health Organization, Kinshasa, Democratic Republic of Congo.
Solange DabouDepartment of biochemistry, University of Dschang, Dschang, Cameroon.
Jessy Goupeyou-YoumsiInstitute of Healthcare Management, Strathmore University Business School, Nairobi, Kenya.
Guy Roger Pilo NdiboMilitary Health Directorate, Ministry of Defense, Yaoundé, Cameroon.
Rick TchamaniCentral Africa University Institute of Excellence, Yaoundé, Cameroon.
Eno Ethel AmboWomen in Global Health, Yaoundé, Cameroon.
Jonathan Hangi NdungoHigher Institute of Medical Techniques, Bunia, Democratic Republic of Congo.
Saralees NadarajahDepartment of Mathematics, University of Manchester, Manchester, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Democratic Republic of Congo (DRC) is recognized as the global epicenter of human Mpox. While vaccination is crucial for outbreak prevention, especially as the disease transitions from zoonotic spillover to sustained human-to-human transmission, comprehensive assessments of vaccination coverage trends across the country are notably absent from the literature. This systematic review and meta-analysis address this gap by providing the first pooled estimate of Mpox vaccine uptake and acceptance in the DRC over a 54-year period (1970-2024). Our study captures critical transitions, including the post-smallpox eradication era and recent global outbreaks, to identify temporal trends, geographic disparities in this high-risk setting.

methodsWe conducted this review following PRISMA guidelines, systematically searching PubMed, Scopus, ScienceDirect, Web of Sciences, CINAHL, and Embase. Grey literature was also searched to ensure comprehensiveness. Using random-effects models, we calculated pooled estimates for vaccine uptake and acceptance rates, with prespecified subgroup analyses examining variations by: (1) period, (2) geographic region, and (3) type of participants. We quantified heterogeneity using I² statistics and conducted meta-regression to identify predictors of vaccination coverage heterogeneity. A p-value ˂ 0.05 was considered statistically significant.

resultsOur analysis revealed a pooled Mpox vaccine uptake of 20.01% (95% CI: 7.45-43.75) with high heterogeneity (I² = 99.4%, p < 0.001), indicating substantial variability across studies. Vaccine acceptance was higher at 54.17% (95% CI: 20.82-84.16) with high heterogeneity (I² = 97.6%, p < 0.001). Temporal analysis showed a significant decline from 32.30% (95% CI: 14.62-57.75) coverage during 1970-2000 to 1.36% (95% CI: 0.29-6.11) in 2020-2024. Geographic disparities existed, with the Northwest regions achieving 47.11% (95% CI: 13.46-83.61) coverage compared to 5.47% (95% CI: 0.56-37.32) in Eastern conflict-affected zones. Meta-regression identified no significant predictors of coverage heterogeneity.

conclusionDespite moderate acceptance rates, actual Mpox vaccination uptake in the DRC remains low, with worsening coverage in recent years and substantial regional inequities. These findings underscore the urgent need for context-specific interventions to bridge the intention-action gap in this high-risk setting.

Indexed as

AcceptanceDemocratic Republic of CongoMeta-analysisMonkeypoxSystematic reviewUptakeVaccine

Identifiers

PMID41782060
PMCPMC13067701

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.