Evidence map›Paper›PMID 41625262›Full record

ArticleOne health (Amsterdam, Netherlands)2026

Assessing the impact of vaccination and behavioural change on Mpox transmission in high-risk groups in the Democratic Republic of Congo using an age-structured mathematical model.

Andrew Omame, Nicola Luigi Bragazzi, Ali Asgary, Chigozie Louisa J Ugwu, Jude Dzevela Kong, Jianhong Wu, Woldegebriel Assefa Woldegerima

Abstract read
In one paragraph

Article in One health (Amsterdam, Netherlands), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

7 authors.

Andrew OmameDisease-Informed Modelling, Methods, and Systems (DIMMS) Laboratory, Department of Mathematics and Statistics, York University, Toronto, Ontario, Canada.
Nicola Luigi BragazziDepartment of Clinical Pharmacy, Saarland University, 66123, Saarbrücken, Germany.
Ali AsgarySchool of Administrative Studies, Faculty of Liberal Arts and Professional Studies, York University, 4700 Keele Street, Toronto, M3J 1P3, Ontario, Canada.
Chigozie Louisa J UgwuDisease-Informed Modelling, Methods, and Systems (DIMMS) Laboratory, Department of Mathematics and Statistics, York University, Toronto, Ontario, Canada.
Jude Dzevela KongAfrica-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC), Canada.
Jianhong WuLaboratory for Industrial and Applied Mathematics (LIAM), Department of Mathematics and Statistics, York University, 4700 Keele Street, Toronto, M3J 1P3, Ontario, Canada.
Woldegebriel Assefa WoldegerimaDisease-Informed Modelling, Methods, and Systems (DIMMS) Laboratory, Department of Mathematics and Statistics, York University, Toronto, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mpox is a viral zoonotic disease that has gained global attention due to its recurrent outbreaks in endemic regions of Africa and beyond. The recent clade I outbreak in the Democratic Republic of the Congo (DRC) has been characterized by extensive transmission among children - particularly those under 15 years of age - and adults with elevated occupational risks, such as healthcare workers, sex workers, and hunters. Motivated by emerging evidence that vaccination alone may not explain the observed decline in mpox transmission across the DRC, and recognizing that behavioural modification is more feasible among adults, this study investigates the synergistic impact of vaccination and behaviour-driven contact reduction among high-risk adults within an age- and risk-structured modelling framework. The model stratifies the population into adults (high- and low-risk groups) and children. It incorporates vaccination for both adults and children, as well as behavioural adaptations (in the form of contact reduction) among high-risk adults. The model is calibrated to weekly reported mpox cases in the DRC from January 2024 to April 2025, from which key parameters are estimated. Scenario analyses reveal that among the adult population, behavioural change has a greater impact than vaccination in reducing mpox transmission. The model indicated that vaccination targeting children yielded the most significant effects, in comparison to either contact-reduction measures or immunization of adults. Moreover, our results indicate that initiating a 50% reduction in contact rates among high-risk adults approximately 20 weeks earlier yields an additional 20% decrease in the cumulative number of mpox cases, compared with implementing the same reduction concurrently with the vaccination intervention in the DRC. Given the current low vaccination coverage and supply constraints, our findings provide evidence-based guidance for optimizing vaccine allocation and prioritizing behavioural interventions among high-risk groups to prevent sustained transmission.

Indexed as

Age-structureControl reproduction numberDRCHigh-riskLow-riskModellingMpoxVaccination

Identifiers

PMID41625262
PMCPMC12857396

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.