Evidence map›Paper›PMID 39925853›Full record

ArticlePNAS nexus2025

Behavior changes influence mpox transmission in the United States, 2022-2023: Insights from homogeneous and heterogeneous models.

Wei Zhang, Juan Zhang, Quan-Hui Liu, Shi Zhao, Wei-Qiang Li, Jun-Jie Ma, Xin Lu, Stefano Boccaletti, Gui-Quan Sun

Abstract read
In one paragraph

Article in PNAS nexus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
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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

9 authors.

Wei ZhangData Science and Technology, North University of China, Taiyuan, Shanxi 030051, China.ORCID https://orcid.org/0009-0003-8381-7728
Juan ZhangComplex Systems Research Center, Shanxi University, Taiyuan, Shanxi 030006, China.
Quan-Hui LiuCollege of Computer Science, Sichuan University, Chengdu, Sichuan 610065, China.ORCID https://orcid.org/0000-0002-9481-7964
Shi ZhaoSchool of Public Health, Tianjin Medical University, Tianjin 300070, China.ORCID https://orcid.org/0000-0001-8722-6149
Wei-Qiang LiSchool of Mathematics, North University of China, Taiyuan, Shanxi 030051, China.ORCID https://orcid.org/0000-0002-6648-2255
Jun-Jie MaSchool of Mathematics, North University of China, Taiyuan, Shanxi 030051, China.
Xin LuCollege of Systems Engineering, National University of Defense Technology, Changsha, Hunan 410073, China.ORCID https://orcid.org/0000-0002-3547-6493
Stefano BoccalettiSino-Europe Complex Science Center, North University of China, Taiyuan, Shanxi 030051, China.
Gui-Quan SunSchool of Mathematics, North University of China, Taiyuan, Shanxi 030051, China.ORCID https://orcid.org/0000-0002-1831-1603

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In 2022, an unprecedented mpox epidemic rapidly swept the globe, primarily transmitted through sexual contact among men who have sex with men (MSM). However, our understanding of how changes in human behavior influence this outbreak remains incomplete. In this study, we introduce a two-layer network model to investigate the impact of human behavior on mpox transmission within the United States during 2022-2023, leveraging surveillance data. We theoretically explore mpox transmission under behavioral changes using homogeneous and heterogeneous mean-field approximations. While the heterogeneous model captures differences in individual behavior, its variations do not significantly affect the overall spread, validating the feasibility of using only homogeneous models to study behavioral changes. Utilizing infection data, we exhibit the influence of behavior changes across varying transmission levels of mpox, emphasize the significant role of sexual behavior among MSM, and recommend enhancing surveillance of nonsexual cases to enable timely control of spread. Utilizing vaccination data, we demonstrate the critical impact of behavior changes on the transmission capacity of mpox virus, contrasting the limited effectiveness of vaccine campaigns. This study highlights the importance of human behavior in controlling the spread of future outbreaks, offering valuable insights for the strategic development of public health interventions aimed at mitigating such occurrences.

Indexed as

human behaviormpoxmultilayer networksexual contactvaccine campaigns

Identifiers

PMID39925853
PMCPMC11803423

What OpenQuestion holds

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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.