Evidence map›Paper›PMID 37012999›Full record

ArticleJMIR infodemiology2023

Attitudes of Swedish Language Twitter Users Toward COVID-19 Vaccination: Exploratory Qualitative Study.

Safwat Beirakdar, Leon Klingborg, Sibylle Herzig van Wees

Open access · goldAbstract read
In one paragraph

Article in JMIR infodemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 29% of its field
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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. RSV vaccination in older adults: Addressing vaccine hesitancy using the 3C model.Canadian pharmacists journal : CPJ = Revue des pharmaciens du Canada : RPC
    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

3 authors at 1 institution in 1 country.

Safwat BeirakdarKarolinska Institute Department of Global Public Health Stockholm Sweden.ORCID https://orcid.org/0000-0002-3015-5754
Leon KlingborgKarolinska Institute Department of Global Public Health Stockholm Sweden.ORCID https://orcid.org/0000-0002-1662-7890
Sibylle Herzig van WeesKarolinska Institute Department of Global Public Health Stockholm Sweden.ORCID https://orcid.org/0000-0002-5270-1170
Karolinska Institutet · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Social media have played an important role in shaping COVID-19 vaccine choices during the pandemic. Understanding people's attitudes toward the vaccine as expressed on social media can help address the concerns of vaccine-hesitant individuals. Objective: The aim of this study was to understand the attitudes of Swedish-speaking Twitter users toward COVID-19 vaccines. Methods: This was an exploratory qualitative study that used a social media-listening approach. Between January and March 2022, a total of 2877 publicly available tweets in Swedish were systematically extracted from Twitter. A deductive thematic analysis was conducted using the World Health Organization's 3C model ( Results: Conclusions: Swedish-speaking Twitter users in this study had negative attitudes toward COVID-19 vaccines, particularly booster vaccines. We identified attitudes toward vaccines and misinformation, indicating that social media monitoring can help policy makers respond by developing proactive health communication interventions.

Indexed as

COVID-19COVID-19 vaccinesqualitative analysissocial mediaTwittervaccine hesitancyWHO’s 3C modelWorld Health Organization

Identifiers

PMID37012999
PMCPMC9996415
OpenAlexW4321492655

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.