Evidence map›Paper›PMID 41079165›Full record

ArticleOne health (Amsterdam, Netherlands)2025

Associations between the 2022 global mpox outbreak and multifaceted factors: A multi-geographical retrospective study.

Yuxi Ge, Yifei Wang, Ziqin Zhou, Zhirui Zhang, Yunyu Tian, Yun Feng, Peiyi Wu, Yuxin Wang, Ziyan Liu, Bingying Li and 1 more

Abstract read
In one paragraph

Article in One health (Amsterdam, Netherlands), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. A comprehensive overview of monkeypox virus disease.Tropical medicine and health · 2026
    Review
  2. Review
  3. Article
  4. Article
  5. Review
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

11 authors.

Yuxi GeBeijing Key Laboratory of Surveillance, Early Warning and Pathogen Research on Emerging Infectious Diseases, State Key Laboratory of Remote Sensing and Digital Earth, Center for Global Change and Public Health, Faculty of Geographical Science, Beijing Normal University, Beijing, China.
Yifei WangBeijing Key Laboratory of Surveillance, Early Warning and Pathogen Research on Emerging Infectious Diseases, State Key Laboratory of Remote Sensing and Digital Earth, Center for Global Change and Public Health, Faculty of Geographical Science, Beijing Normal University, Beijing, China.
Ziqin ZhouBeijing Key Laboratory of Surveillance, Early Warning and Pathogen Research on Emerging Infectious Diseases, State Key Laboratory of Remote Sensing and Digital Earth, Center for Global Change and Public Health, Faculty of Geographical Science, Beijing Normal University, Beijing, China.
Zhirui ZhangSchool of Statistics, Beijing Normal University, Beijing, China.
Yunyu TianBeijing Key Laboratory of Surveillance, Early Warning and Pathogen Research on Emerging Infectious Diseases, State Key Laboratory of Remote Sensing and Digital Earth, Center for Global Change and Public Health, Faculty of Geographical Science, Beijing Normal University, Beijing, China.
Yun FengBeijing Key Laboratory of Surveillance, Early Warning and Pathogen Research on Emerging Infectious Diseases, State Key Laboratory of Remote Sensing and Digital Earth, Center for Global Change and Public Health, Faculty of Geographical Science, Beijing Normal University, Beijing, China.
Peiyi WuBeijing Key Laboratory of Surveillance, Early Warning and Pathogen Research on Emerging Infectious Diseases, State Key Laboratory of Remote Sensing and Digital Earth, Center for Global Change and Public Health, Faculty of Geographical Science, Beijing Normal University, Beijing, China.
Yuxin WangBeijing Key Laboratory of Surveillance, Early Warning and Pathogen Research on Emerging Infectious Diseases, State Key Laboratory of Remote Sensing and Digital Earth, Center for Global Change and Public Health, Faculty of Geographical Science, Beijing Normal University, Beijing, China.
Ziyan LiuBeijing Key Laboratory of Surveillance, Early Warning and Pathogen Research on Emerging Infectious Diseases, State Key Laboratory of Remote Sensing and Digital Earth, Center for Global Change and Public Health, Faculty of Geographical Science, Beijing Normal University, Beijing, China.
Bingying LiBeijing Key Laboratory of Surveillance, Early Warning and Pathogen Research on Emerging Infectious Diseases, State Key Laboratory of Remote Sensing and Digital Earth, Center for Global Change and Public Health, Faculty of Geographical Science, Beijing Normal University, Beijing, China.
Zengmiao WangBeijing Key Laboratory of Surveillance, Early Warning and Pathogen Research on Emerging Infectious Diseases, State Key Laboratory of Remote Sensing and Digital Earth, Center for Global Change and Public Health, Faculty of Geographical Science, Beijing Normal University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Unlike prior travel-related mpox cases, the 2022 outbreak of mpox virus (MPXV) clade IIb outside endemic regions posed a significant global health threat. Despite growing recognition of the One Health relevance of mpox, the factors driving this unprecedented outbreak and their quantitative effects remain not fully understood. This study aims to identify key factors across various geographical scales to inform future mpox mitigation policies within One Health framework. We built logistic regression models to assess the association of 18 covariates-including socioeconomic, demographic, and human behaviors (e.g., urbanization, sexual behavior, immunity, mobility and contact intensity) -with mpox outbreak probability in the United States, England, Brazil, and globally. We also examined temporal trends over the past decade. Our analysis revealed positive associations between mpox cases and urbanization rates (United States:

Indexed as

Long-termMpoxOne healthOutbreak probability

Identifiers

PMID41079165
PMCPMC12514515

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.