Evidence map›Paper›PMID 34081591›Full record

ArticleJMIR public health and surveillance2021

Community Mitigation of COVID-19 and Portrayal of Testing on TikTok: Descriptive Study.

Corey H Basch, Jan Mohlman, Joseph Fera, Hao Tang, Alessia Pellicane, Charles E Basch

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In one paragraph

Article in JMIR public health and surveillance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Corey H BaschDepartment of Public Health, William Paterson University, Wayne, NJ, United States.ORCID 0000-0003-4862-4229
Jan MohlmanDepartment of Psychology, William Paterson University, Wayne, NJ, United States.ORCID 0000-0002-2976-6224
Joseph FeraDepartment of Mathematics, Lehman College, The City University of New York, Bronx, NY, United States.ORCID 0000-0002-9394-8735
Hao TangDepartment of Health and Behavior Studies, Teachers College, Columbia University, New York, NY, United States.ORCID 0000-0003-3002-1374
Alessia PellicaneDepartment of Public Health, William Paterson University, Wayne, NJ, United States.ORCID 0000-0002-8220-6584
Charles E BaschDepartment of Health and Behavior Studies, Teachers College, Columbia University, New York, NY, United States.ORCID 0000-0001-8022-0959

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCOVID-19 testing remains an essential element of a comprehensive strategy for community mitigation. Social media is a popular source of information about health, including COVID-19 and testing information. One of the most popular communication channels used by adolescents and young adults who search for health information is TikTok-an emerging social media platform.

objectiveThe purpose of this study was to describe TikTok videos related to COVID-19 testing.

methodsThe hashtag #covidtesting was searched, and the first 100 videos were included in the study sample. At the time the sample was drawn, these 100 videos garnered more than 50% of the views for all videos cataloged under the hashtag #covidtesting. The content characteristics that were coded included mentions, displays, or suggestions of anxiety, COVID-19 symptoms, quarantine, types of tests, results of test, and disgust/unpleasantness. Additional data that were coded included the number and percentage of views, likes, and comments and the use of music, dance, and humor.

resultsThe 100 videos garnered more than 103 million views; 111,000 comments; and over 12.8 million likes. Even though only 44 videos mentioned or suggested disgust/unpleasantness and 44 mentioned or suggested anxiety, those that portrayed tests as disgusting/unpleasant garnered over 70% of the total cumulative number of views (73,479,400/103,071,900, 71.29%) and likes (9,354,691/12,872,505, 72.67%), and those that mentioned or suggested anxiety attracted about 60% of the total cumulative number of views (61,423,500/103,071,900, 59.59%) and more than 8 million likes (8,339,598/12,872,505, 64.79%). Independent one-tailed t tests (α=.05) revealed that videos that mentioned or suggested that COVID-19 testing was disgusting/unpleasant were associated with receiving a higher number of views and likes.

conclusionsOur finding of an association between TikTok videos that mentioned or suggested that COVID-19 tests were disgusting/unpleasant and these videos' propensity to garner views and likes is of concern. There is a need for public health agencies to recognize and address connotations of COVID-19 testing on social media.

Indexed as

Diagnostic Tests, RoutineSocial MediaAdolescentCommunity NetworksCOVID-19HumansSARS-CoV-2Video RecordingYoung Adultanxietycommunicationcommunity mitigationcontent analysisCOVID-19digital healthdigital public healthdisgustinfodemiologyinfoveillancepublic healthsocial mediatestingTikTok

Identifiers

PMID34081591
PMCPMC8194664

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.