Evidence map›Paper›PMID 41960377›Full record

ArticleFrontiers in public health2026

Engaging the public with antimicrobial resistance through social media videos-a content analysis study.

Fangyue Chen, Lakshya Soni, Kate Grailey, Simon Dryden, Amish Acharya, Ara Darzi

Abstract read
In one paragraph

Article in Frontiers in public health, 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

6 authors.

Fangyue ChenFleming Initiative, Institute of Global Health Innovation, Imperial College London, London, United Kingdom.
Lakshya SoniInstitute of Global Health Innovation, Imperial College London, London, United Kingdom.
Kate GraileyFleming Initiative, Institute of Global Health Innovation, Imperial College London, London, United Kingdom.
Simon DrydenFleming Initiative, Institute of Global Health Innovation, Imperial College London, London, United Kingdom.
Amish AcharyaFleming Initiative, Institute of Global Health Innovation, Imperial College London, London, United Kingdom.
Ara DarziFleming Initiative, Institute of Global Health Innovation, Imperial College London, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: YouTube, the dominant global video-sharing social media platform, has created new opportunities to provide regulated health content directly with the public, including on broader public health threats such as antimicrobial resistance (AMR). Little is known about the most effective strategy with which to engage the public with online AMR content. Method: This study comprehensively evaluated the top 200 viewed YouTube videos on AMR by extracting data on video characteristics, narratives and quality, and explored factors associated with viewer engagement through proxy analytics (views, likes and comments). Results: We found that content focused upon the mechanisms of AMR and antibiotics were most viewed, yet engaging videos do not necessarily convey high-quality information. Videos on internet media and non-medical channels were more popular. Discussion: The study calls for more strategic production of engaging videos on AMR. Global platforms should strive to facilitate audience in accessing reliable health information.

Indexed as

Drug Resistance, MicrobialInformation DisseminationSocial MediaVideo RecordingAnti-Bacterial AgentsDigital MediaDrug Resistance, BacterialHumansMedia ExposureAnti-Bacterial Agentsantimicrobial resistancecontent analysisengagementonline videosocial media

Identifiers

PMID41960377
PMCPMC13057502

What OpenQuestion holds

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LicenceCC BY
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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.