Evidence map›Paper›PMID 40839789›Full record

ArticleJournal of medical Internet research2025

Public Attention to Mpox in China During the Pandemic: Qualitative Analysis of TikTok Data Using Latent Dirichlet Allocation Topic Modeling.

DongHang Luo, Jie Xu, Yaoyao Jiang, Mengnan Tan, Yaping Yao, Lin He, Jing Ma, Wei Dong, Wei Luo, Chu Zhou

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. 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

10 authors.

DongHang Luo *National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Beijing, 102206, China, 86 138 1169 6532.ORCID http://orcid.org/0009-0003-1282-1797
Jie Xu *National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Beijing, 102206, China, 86 138 1169 6532.ORCID http://orcid.org/0009-0007-8433-505X
Yaoyao JiangNational Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Beijing, 102206, China, 86 138 1169 6532.ORCID http://orcid.org/0009-0002-0650-136X
Mengnan TanNational Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Beijing, 102206, China, 86 138 1169 6532.ORCID http://orcid.org/0009-0000-9978-7146
Yaping YaoZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.ORCID http://orcid.org/0000-0001-7936-3610
Lin HeZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.ORCID http://orcid.org/0000-0002-0544-1943
Jing MaYunnan Provincial Center for Disease Control and Prevention, Kunming, China.ORCID http://orcid.org/0009-0002-0324-3537
Wei DongNational Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Beijing, 102206, China, 86 138 1169 6532.ORCID http://orcid.org/0009-0002-8036-9125
Wei LuoNational Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Beijing, 102206, China, 86 138 1169 6532.ORCID http://orcid.org/0009-0008-3148-6601
Chu ZhouNational Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Beijing, 102206, China, 86 138 1169 6532.ORCID http://orcid.org/0000-0002-9423-1250

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mpox has reemerged as a global public health concern. With the growing reliance on social media for health information dissemination, understanding public perception through these platforms is essential for designing effective health promotion strategies. Objective: This study analyzes TikTok data related to mpox using Latent Dirichlet Allocation (LDA) topic modeling. This paper aims to extract key topics and inform targeted health promotion strategies for mpox prevention and control. Methods: Using the "Aisou Jisou" system, we collected TikTok data containing the keyword "Mpox" from April 1, 2022, to March 31, 2025. The dataset comprised 25,672 text data and associated search terms. We analyzed trends in the Search Index and Target Group Index (TGI) across time, gender, age groups, and provinces. LDA topic modeling was applied to identify latent topics within the text data, and topic evolution was examined during 4 peak months of the Search Index. Results: A total of 4 major Search Index peaks were identified on TikTok in China, which are May 2022, July 2023, August 2024, and February 2025. These peaks aligned with key global and national mpox events, including WHO's declaration of a global mpox outbreak in May 2022 and the detection of the clade Ib Mpox in China in January 2025. TGI analysis revealed that users aged 18-23 years exhibited the highest engagement. Spatially, Beijing, Tianjin, and Jilin recorded the highest cumulative TGI values (5922.38, 5692.41, and 3579.90, respectively). LDA topic modeling identified 8 primary topics, including transmission and prevention, vaccine concerns, and misinformation, etc. Public attention evolved from general disease knowledge toward issues of stigmatization and vaccine distrust over time. Sankey diagrams illustrated shifts in public attention across topics at different Search Index peaks, with "Mpox Transmission and Prevention" receiving the most attention in May 2022 and "Mpox Vaccination and Infection Prevention" in February 2025. Conclusions: TikTok provides real-time insights into public attention during mpox outbreaks, but can also propagate misinformation and stigmatizing narratives. Public health authorities should leverage these platforms for timely communication, actively address misinformation, and mitigate social bias. Tailored strategies are needed to enhance health literacy, minimize stigma, and strengthen outbreak preparedness and response. This study highlights the dual role of social media as both an information source and a potential vector for misinformation, emphasizing the necessity for active monitoring and regulation by health authorities to ensure the accuracy and reliability of disseminated health information.

Indexed as

COVID-19Mpox, MonkeypoxPandemicsSocial MediaAdolescentAdultChinaFemaleHumansMaleMiddle AgedPublic HealthYoung AdultChinahealth communicationLatent Dirichlet AllocationLDAMpoxpublic perceptionTikTok

Identifiers

PMID40839789
PMCPMC12369990

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.