Evidence map›Paper›PMID 40737702›Full record

ArticleJMIR formative research2025

Analysis of Social Media Perceptions During the COVID-19 Pandemic in the United Kingdom: Social Listening Study (2019-2022).

Marzieh Araghi, Arron Sahota, Maciej Czachorowski, Kevin Naicker, Natalie Bohm, Katie Phillipps, James Gaddum, Erica Jane Cook

Abstract read
In one paragraph

Article in JMIR formative research, 2025. 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

8 authors.

Marzieh AraghiPfizer Ltd, Walton Oaks, Dorking Rd, Surrey, KT20 7NS, United Kingdom, 44 7305408118.ORCID 0000-0003-4814-5463
Arron SahotaPfizer Ltd, Walton Oaks, Dorking Rd, Surrey, KT20 7NS, United Kingdom, 44 7305408118.ORCID 0009-0001-0542-9573
Maciej CzachorowskiPfizer Ltd, Walton Oaks, Dorking Rd, Surrey, KT20 7NS, United Kingdom, 44 7305408118.ORCID 0000-0002-1469-6120
Kevin NaickerPfizer Ltd, Walton Oaks, Dorking Rd, Surrey, KT20 7NS, United Kingdom, 44 7305408118.ORCID 0000-0001-9955-3577
Natalie BohmPfizer Ltd, Walton Oaks, Dorking Rd, Surrey, KT20 7NS, United Kingdom, 44 7305408118.ORCID 0000-0002-0560-5995
Katie PhillippsIpsos, 3 Thomas More Square, London, United Kingdom.ORCID 0009-0003-9385-7897
James GaddumIpsos, 3 Thomas More Square, London, United Kingdom.ORCID 0009-0009-3892-7761
Erica Jane CookSchool of Psychology, University of Bedfordshire, Luton, United Kingdom.ORCID 0000-0003-4369-8202

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Social media listening can be leveraged to obtain authentic perceptions about events, their impact, guidelines, and policies. There has been to date no research that has examined the experiences of patients with COVID-19 from diagnosis to treatment using social media listening in the United Kingdom. Objective: This study aimed to assess public perceptions, insights, and sentiments throughout the patient journey from diagnosis to treatment during the COVID-19 pandemic. Methods: A comprehensive search query was designed to retrieve social media data that referred to COVID-19 and treatment. The search was conducted using the social media monitoring tool, Synthesio (Ipsos). Data were retrospectively collected for the period covering September 2019 to September 2022 from Twitter (subsequently rebranded X), Facebook, Instagram, and YouTube as well as 126 public forums (including Health Unlocked, Mums Net, The Student Room, and Patient Forums UK). Available data in the United Kingdom expressed in the English language were collected and filtered, generating a final dataset consisting of 31,319 posts from an overall initial dataset of 706,634 posts. Complimentary Google trend analyses of search terms mentioning COVID-19 treatments were also performed. Results: Social media posts related to COVID-19 symptoms accounted for 6% of overall posts, compared to 35% of posts related to testing, 25% of posts related to diagnosis, and 32% of posts related to treatment. Overall, the trend observed from social media posts relating to COVID-19 treatment extracted in Synthesio was largely congruent with the trend of COVID-19 searches on Google, indicating a potential relationship between public discourse and social media and internet search behavior. Conclusions: The findings from this study have the potential to inform decision-making regarding public health interventions, communication strategies, and health care policies in the United Kingdom during future public health emergencies.

Indexed as

COVID-19Social MediaHumansPandemicsRetrospective StudiesSARS-CoV-2United KingdomcoronavirusCOVID-19datadiagnosisGooglehealth informationinfectiousIpsosnamed-entity recognitionpandemicpatient experiencesperceptionspublic healthpulmonaryrespiratorySARS-COV-2search querysentimentssocial mediaSynthesiotreatmenttrendsUnited Kingdom

Identifiers

PMID40737702
PMCPMC12310183

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.