Evidence map›Paper›PMID 35412189›Full record

ArticleJournal of community health2022

Long Haul COVID-19 Videos on YouTube: Implications for Health Communication.

Erin T Jacques, Corey H Basch, Eunsun Park, Betty Kollia, Emma Barry

Abstract read
In one paragraph

Article in Journal of community health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Integrated Care Models for Long Coronavirus Disease.Physical medicine and rehabilitation clinics of North America · 2023
    Review
  4. Article
  5. Article
  6. Article
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.

Erin T JacquesDepartment of Health & Human Performance, York College, CUNY, 94-20 Guy R. Brewer Blvd., Jamaica, NY, 11451, USA. et2592@tc.columbia.edu.ORCID 0000-0003-2441-1982
Corey H BaschDepartment of Public Health, William Paterson University, Wayne, NJ, 07470, USA.
Eunsun ParkDepartment of Communication Disorders & Sciences, William Paterson University, Wayne, NJ, 07470, USA.
Betty KolliaDepartment of Communication Disorders & Sciences, William Paterson University, Wayne, NJ, 07470, USA.
Emma BarryDepartment of Public Health, William Paterson University, Wayne, NJ, 07470, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The term COVID-19 "long haul" originated on social media and was later studied by the scientific community. This study describes content related to persistent COVID-19 symptoms on YouTube. The 100 most viewed English-language videos identified with the keywords "COVID-19 long haul" were assessed for video origin, engagement, and content related to COVID-19 long-haul. The findings indicate that the majority of videos were uploaded by television or internet news (56%), followed by consumers (members of the public, 32%), health professionals (only 9%), and lastly by entertainment TV (non-news programs, 3%). Videos originating from entertainment TV were significantly more likely to be "liked" than videos from other sources. The most commonly mentioned long-haul symptoms in the videos were physical (fatigue, 73%; difficulty breathing/shortness of breath, 56%; and joint or muscle pain, 49%) and cognitive (difficulty thinking or concentrating; 69%). The case of COVID-19 long haul demonstrates that social media are significant fora whereon the public identify health concerns. It is necessary for healthcare professionals to assume an active and responsible role in social media.

Indexed as

COVID-19Health CommunicationSocial MediaHumansLanguagePost-Acute COVID-19 SyndromeVideo RecordingCOVID-19Health communicationLong COVIDLong haulYouTube

Identifiers

PMID35412189
PMCPMC9002226

What OpenQuestion holds

Textmetadata
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.