Evidence map›Paper›PMID 42378678›Full record

ArticleJMIR infodemiology2026

Mpox on Instagram: Content Analytic Study.

Elizabeth E Havron, Kylee Chenault, Danny Valdez, Rebecca F Houghton, Eric R Walsh-Buhi

Abstract read
In one paragraph

Article in JMIR infodemiology, 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

5 authors.

Elizabeth E Havron *Department of Applied Health Science, Indiana University School of Public Health-Bloomington, 1025 E. 7th Street, Room 116, Bloomington, IN, 47405, United States, 1 812-855-4867.ORCID http://orcid.org/0009-0006-6057-6898
Kylee Chenault *Department of Applied Health Science, Indiana University School of Public Health-Bloomington, 1025 E. 7th Street, Room 116, Bloomington, IN, 47405, United States, 1 812-855-4867.ORCID http://orcid.org/0009-0005-6846-8798
Danny Valdez *Department of Applied Health Science, Indiana University School of Public Health-Bloomington, 1025 E. 7th Street, Room 116, Bloomington, IN, 47405, United States, 1 812-855-4867.ORCID http://orcid.org/0000-0002-2355-9881
Rebecca F Houghton *Department of Applied Health Science, Indiana University School of Public Health-Bloomington, 1025 E. 7th Street, Room 116, Bloomington, IN, 47405, United States, 1 812-855-4867.ORCID http://orcid.org/0000-0002-2590-7907
Eric R Walsh-Buhi *Department of Applied Health Science, Indiana University School of Public Health-Bloomington, 1025 E. 7th Street, Room 116, Bloomington, IN, 47405, United States, 1 812-855-4867.ORCID http://orcid.org/0000-0002-1690-5352

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mpox was declared a public health emergency of international concern in 2022. Instagram is widely used by age groups and communities disproportionately affected by mpox; yet platform-specific evidence on mpox information characteristics and engagement remains limited. Objective: The aim of this study is to characterize sources, content, and engagement features of mpox-related Instagram posts, to describe prevention and treatment framing, and to compare the top 10% most-liked posts with the remaining corpus. Methods: We retrieved English-language public Instagram posts via CrowdTangle containing "mpox" or "monkeypox" dated May 5, 2022, to January 17, 2023 (initial N=18,616). Using a pretested, deductive codebook adapted from prior Instagram health studies, 2 coders completed 2 pilot rounds; variables with low agreement were excluded. A randomized analytic sample of 1000 posts was coded for source type, content features, and prevention/treatment framing. Descriptive statistics were computed. For engagement contrasts, we compared the top 10% most-liked posts with the bottom 90% using tests of differences in independent proportions (mean differences [MD] with P values). Results: Most posts originated from organizations (760/1000, 76%) versus individuals (240/1000, 24%). Organizational sources most commonly included businesses (436/760, 57.4%) and news/media outlets (401/760, 52.8%); government (174/760, 22.9%), nonprofits (131/760, 17.3%), and health care organizations (70/760, 9.2%) were less frequent. About one-third of posts cited a source (344/1000, 34.4%), most often the World Health Organization (WHO) and Centers for Disease Control and Prevention (CDC)/other federal entity. Posts predominantly used illustrated images/infographics (827/1000, 82.7%); photos appeared in 47.3% (473/1000) and videos in 12.4% (124/1000) of posts. Prevention content appeared in 38.4% (384/1000) of posts, most commonly vaccination (684/1000, 68.5% of prevention posts), followed by avoiding close contact (145/1000, 14.5%), avoiding contact with objects (83/1000, 8.3%), abstaining from sexual activity (76/1000, 7.6%), and condom use (13/1000, 1.3%); 28.9% (289/1000) of prevention posts noted barriers. Treatment mentions were uncommon (25/1000, 2.5% traditional biomedical; 2/1000, 0.2% alternative). Compared with the bottom 90%, the top 10% most-liked posts (1) were more likely to originate from public figures/celebrities among individuals (MD=-0.591; P<.001) and from businesses (MD=-0.299; P<.001) or news/media (MD=-0.350; P<.001) among organizations; (2) were less likely to be from government (P<.001) , nonprofit (P=.006), or health care organizations (P=.005); and (3) more often included nonmoving images (MD=-0.119; P=.024), visible lesion depictions (MD=-0.081; P=.035), prevalence mentions (MD=-0.180; P<.001), and citations (MD=-0.162; P=.001). Conclusions: During the initial outbreak period, the highly engaged mpox content on Instagram skewed toward posts by public figures and news/business accounts and toward static, citation-bearing visuals that included prevalence context and occasionally lesion imagery. Public-health communicators seeking reach on Instagram should prioritize clear static infographics with explicit source citation and epidemiologic context and consider copublishing with trusted creators and news outlets, while addressing access barriers highlighted in prevention posts.

Indexed as

Mpox, MonkeypoxPublic HealthSocial MediaDigital MediaHumansMedia Exposurecontent analysisdigital healthInstagrammpoxsocial media

Identifiers

PMID42378678
PMCPMC13318204

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.