Evidence map›Paper›PMID 42482041›Full record

ArticleBMC medicine2026

From behavioral to structural correlates: a multi-phase analysis of global reported mpox.

Li Shen, Mengna Wei, Yu Chen, Rui Li, Zhenfan Xu, Yuetong Chen, Yaqin Su, Mengyan Ye, Zhenhua Lu, Jiayi Li and 9 more

Abstract read
In one paragraph

Article in BMC medicine, 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

19 authors.

Li Shen *School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, 430079, China.
Mengna Wei *School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, 430079, China.
Yu Chen *School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, 430079, China.
Rui Li *Department of Epidemiology, The Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, The Shaanxi Provincial Key Laboratory of Environmental Health Hazard Assessment and Protection, The Shaanxi Provincial Key Laboratory of Free Radical Biology and Medicine, School of Public Health, The Fourth Military Medical University, Xi'an, 710032, China.
Zhenfan XuSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan, 430079, China.
Yuetong ChenSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan, 430079, China.
Yaqin SuSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan, 430079, China.
Mengyan YeSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan, 430079, China.
Zhenhua LuDepartment of Epidemiology, The Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, The Shaanxi Provincial Key Laboratory of Environmental Health Hazard Assessment and Protection, The Shaanxi Provincial Key Laboratory of Free Radical Biology and Medicine, School of Public Health, The Fourth Military Medical University, Xi'an, 710032, China.
Jiayi LiSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan, 430079, China.
Jinzhan ChenSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan, 430079, China.
Junze DuDepartment of Epidemiology, The Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, The Shaanxi Provincial Key Laboratory of Environmental Health Hazard Assessment and Protection, The Shaanxi Provincial Key Laboratory of Free Radical Biology and Medicine, School of Public Health, The Fourth Military Medical University, Xi'an, 710032, China.
Yijie YinSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan, 430079, China.
Ying LiuSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan, 430079, China.
Peng LiDepartment of Epidemiology, The Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, The Shaanxi Provincial Key Laboratory of Environmental Health Hazard Assessment and Protection, The Shaanxi Provincial Key Laboratory of Free Radical Biology and Medicine, School of Public Health, The Fourth Military Medical University, Xi'an, 710032, China.
Liqun FangState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Science, Beijing, 100071, China. fang_lq@163.com.
Xiaojie YuanDepartment of Epidemiology, The Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, The Shaanxi Provincial Key Laboratory of Environmental Health Hazard Assessment and Protection, The Shaanxi Provincial Key Laboratory of Free Radical Biology and Medicine, School of Public Health, The Fourth Military Medical University, Xi'an, 710032, China. yuanxj0528@fmmu.edu.cn.
Wei LiuState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Science, Beijing, 100071, China. liuwei@bmi.ac.cn.
Kun LiuDepartment of Epidemiology, The Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, The Shaanxi Provincial Key Laboratory of Environmental Health Hazard Assessment and Protection, The Shaanxi Provincial Key Laboratory of Free Radical Biology and Medicine, School of Public Health, The Fourth Military Medical University, Xi'an, 710032, China. liukun5959@fmmu.edu.cn.

Funding

National Key Research and Development Program of China 2024YFB3909003National Natural Science Foundation of China 42201448National Natural Science Foundation of China 82473689
6 · The paper itself

Abstract

backgroundMpox epidemiology has expanded from endemic zoonotic spillover to sustained human-to-human transmission. While behavioral risk factors have been well recognized, how macro-level correlates of mpox burden vary across epidemic phases remains insufficiently quantified, limiting targeted public health responses.

methodsUsing World Health Organization (WHO) global daily mpox surveillance data from January 1, 2022 to April 30, 2025, we calculated country-period reported mpox incidence and developed a phase-sensitive analytical framework integrating multi-domain macro-level variables across distinct epidemic phases. Five ensemble machine learning models (eXtreme Gradient Boosting, Gradient Boosting Decision Tree, Light Gradient Boosting Machine, Random Forest, Categorical Boosting) were optimized, and their outputs were interpreted using SHapley Additive exPlanations (SHAP) values to identify the changing correlates of mpox burden across phases.

resultsReported mpox incidence exhibited four temporal-epidemiological phases, comprising localized sporadic emergence, accelerated global spread, sustained dissemination, and region-specific resurgence. SHAP-based interpretation revealed a phase-dependent shift in model-associated correlates, from behavioral factors in earlier phases, such as close-contact networks and population mobility, to later structural vulnerability indicators related to socioeconomic disparities and health-system capacity. The LGBT+ (lesbian, gay, bisexual, transgender, and other sexual and gender minorities) Legal Index was the strongest overall predictor, accounting for 13.5% of the overall SHAP importance. Its association with reported mpox incidence was context-dependent, with positive contributions occurring in legally inclusive settings and negative contributions observed in restrictive settings, a pattern consistent with differential case ascertainment and reporting visibility.

conclusionsOur findings highlight a transition from behavioral to structural indicators in global mpox burden, uncovering phase-specific and geographic heterogeneity. These results support phase-tailored interventions that combine early targeted prevention with later health-system strengthening, equitable surveillance, community support, and stigma reduction.

Indexed as

Mpox, MonkeypoxZoonosesAnimalsGlobal HealthHumansIncidenceRisk FactorsEpidemiological phasesMacro-level correlatesMpoxStructural vulnerability

Identifiers

PMID42482041
PMCPMC13563967

What Socratic holds

Textmetadata
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 Socratic graph.