Evidence map›Paper›PMID 37653001›Full record

ArticleScientific reports2023

People's perceptions on COVID-19 vaccination: an analysis of twitter discourse from four countries.

Manah Verma, Nikhil Moudgil, Gaurav Goel, Peehu Pardeshi, Jacquleen Joseph, Neeraj Kumar, Kulbir Singh, Hari Singh, Prakash Babu Kodali

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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4 · The record

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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

9 authors.

Manah Verma *Department of Computer Science and Engineering, Thapar Institute of Engineering and Technology, Patiala, Punjab, 147004, India.
Nikhil Moudgil *Department of Computer Science and Engineering, Thapar Institute of Engineering and Technology, Patiala, Punjab, 147004, India.
Gaurav GoelSchool of Energy and Environment, Thapar Institute of Engineering and Technology, Patiala, Punjab, 147004, India.
Peehu PardeshiJamsetji Tata School of Disaster Studies, Tata Institute of Social Sciences, Deonar, Mumbai, 400088, India.
Jacquleen JosephJamsetji Tata School of Disaster Studies, Tata Institute of Social Sciences, Deonar, Mumbai, 400088, India.
Neeraj KumarDepartment of Computer Science and Engineering, Thapar Institute of Engineering and Technology, Patiala, Punjab, 147004, India.
Kulbir SinghDepartment of Civil Engineering, MM Engineering College, Maharishi Markandeshwar (Deemed to Be University), Mullana-Ambala, 133207, Haryana, India.
Hari SinghChemistry Department, RIMT UNIVERSITY, Mandi Gobindgarh, Punjab, 147301, India.
Prakash Babu KodaliDepartment of Public Health and Community Medicine, Central University of Kerala, Kasaragod, Kerala, 671320, India. prakashkodali@cukerala.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

More than six and half million people have died as a result of the COVID-19 pandemic till Dec 2022. Vaccination is the most effective means to prevent mortality and infection attributed to COVID-19. Identifying public attitudes and perceptions on COVID-19 vaccination is essential to strengthening the vaccination programmes. This study aims to identify attitudes and perceptions of twitter users towards COVID-19 vaccinations in four different countries. A sentiment analysis of 663,377 tweets from October 2020 to September 2022 from four different countries (i.e., India, South Africa, UK, and Australia) was conducted. Text mining using roBERTA (Robustly Optimized Bert Pretraining approach) python library was used to identify the polarity of people's attitude as "negative", "positive" or "neutral" based on tweets. A sample of 2000 tweets (500 from each country) were thematically analysed to explore the people's perception concerning COVID-19 vaccines across the countries. The attitudes towards COVID-19 vaccines varied by countries. Negative attitudes were observed to be highest in India (58.48%), followed by United Kingdom (33.22%), Australia (31.42%) and South Africa (28.88%). Positive attitudes towards vaccines were highest in the United Kingdom (21.09%). The qualitative analysis yielded eight themes namely (i) vaccine shortages, (ii) vaccine side-effects, (iii) distrust on COVID-19 vaccines, (iv) voices for vaccine equity, (v) awareness about vaccines, (vi) myth busters, (vii) vaccines work and (viii) vaccines are safe. The twitter discourse reflected the evolving situation of COVID-19 pandemic and vaccination strategies, lacunae and positives in the respective countries studied.

Indexed as

COVID-19Social MediaCOVID-19 VaccinesHumansPandemicsVaccinationCOVID-19 Vaccines

Identifiers

PMID37653001
PMCPMC10471683

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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.