Evidence map›Paper›PMID 41068979›Full record

ArticleInfectious diseases of poverty2025

Temporal and age-structured analysis of Mpox spread in the 2022 Global outbreak: data-assimilation insights for epidemic control.

Tao Li, Xiaohao Guo, Xiaoli Wang, Tianmu Chen

Abstract read
In one paragraph

Article in Infectious diseases of poverty, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Tao LiState Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Integration in Vaccine Research, School of Public Health, Xiamen University, No. 4221-117, Xiang'an South Road, Xiang'an District, Xiamen, Fujian Province, China.
Xiaohao GuoState Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Integration in Vaccine Research, School of Public Health, Xiamen University, No. 4221-117, Xiang'an South Road, Xiang'an District, Xiamen, Fujian Province, China.
Xiaoli WangBeijing Center for Disease Prevention and Control, No. 16, Hepingli Middle Street, Dongcheng District, Beijing, China. wangxiaoli198215@163.com.
Tianmu ChenState Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Integration in Vaccine Research, School of Public Health, Xiamen University, No. 4221-117, Xiang'an South Road, Xiang'an District, Xiamen, Fujian Province, China. 13698665@qq.com.ORCID http://orcid.org/0000-0003-0710-5086

Funding

Guangzhou National Laboratory GZNL2024A01004Guangzhou National Laboratory SRPG22-007Ministry of Science and Technology of the People's Republic of China (MOST) 2024YFC2311404
6 · The paper itself

Abstract

backgroundThe global outbreak of mpox that began in 2022 caused sustained human-to-human transmission and demonstrates distinct epidemiological characteristics compared to previous outbreaks. Our aim is to quantify temporal variation of mpox transmissibility within or between age groups and evaluate the effectiveness of interventions in real time.

methodsThe data used in this study is sourced from publicly available mpox confirmed cases data provided by WHO. We divided population into four age groups and constructed a transmission dynamics model with age structure of the population. And we estimated the transmissibilities of the monkeypox virus within or between age groups in real time by assimilation of global surveillance data from WHO, and performed intervention simulations in different scenarios we set up.

resultsThe effective reproduction number of mpox in the 18-44 age group is significantly higher than in other age groups, and it initially experiences a rapid increase, enters a phase of steady decrease after reaching a certain point [

conclusionsThe transmissibility of mpox within the 18-44 age group follows a distinct pattern of rapid growth-slow decline not observed to the same extent in other age groups. Real-time estimation of mpox transmissibility within or between age groups helps us to understand the dynamic process of mpox interpersonal transmission better and evaluate the effect of various interventions in real world more promptly.

Indexed as

Disease OutbreaksMpox, MonkeypoxAdolescentAdultAgedAge FactorsBasic Reproduction NumberChildChild, PreschoolFemaleGlobal HealthHumansInfantInfant, NewbornMaleMiddle AgedAge structureCompartmental modelData assimilationMpoxTransmission dynamics

Identifiers

PMID41068979
PMCPMC12512411

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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.