Public sentiments toward COVID-19 vaccines in South African cities: An analysis of Twitter posts.

COVID-19 South Africa sentiment analysis tweets vaccination vaccine vaccine hesitancy

Journal

Frontiers in public health
ISSN: 2296-2565
Titre abrégé: Front Public Health
Pays: Switzerland
ID NLM: 101616579

Informations de publication

Date de publication:
2022
Historique:
received: 06 07 2022
accepted: 20 07 2022
entrez: 29 8 2022
pubmed: 30 8 2022
medline: 31 8 2022
Statut: epublish

Résumé

Amidst the COVID-19 vaccination, Twitter is one of the most popular platforms for discussions about the COVID-19 vaccination. These types of discussions most times lead to a compromise of public confidence toward the vaccine. The text-based data generated by these discussions are used by researchers to extract topics and perform sentiment analysis at the provincial, country, or continent level without considering the local communities. The aim of this study is to use clustered geo-tagged Twitter posts to inform city-level variations in sentiments toward COVID-19 vaccine-related topics in the three largest South African cities (Cape Town, Durban, and Johannesburg). VADER, an NLP pre-trained model was used to label the Twitter posts according to their sentiments with their associated intensity scores. The outputs were validated using NB (0.68), LR (0.75), SVMs (0.70), DT (0.62), and KNN (0.56) machine learning classification algorithms. The number of new COVID-19 cases significantly positively correlated with the number of Tweets in South Africa (Corr = 0.462,

Identifiants

pubmed: 36033735
doi: 10.3389/fpubh.2022.987376
pmc: PMC9412204
doi:

Substances chimiques

COVID-19 Vaccines 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

987376

Informations de copyright

Copyright © 2022 Ogbuokiri, Ahmadi, Bragazzi, Movahedi Nia, Mellado, Wu, Orbinski, Asgary and Kong.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Blessing Ogbuokiri (B)

Africa-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC), York University, Toronto, ON, Canada.
Laboratory for Industrial and Applied Mathematics, York University, Toronto, ON, Canada.

Ali Ahmadi (A)

Faculty of Computer Engineering, K.N. Toosi University, Tehran, Iran.

Nicola Luigi Bragazzi (NL)

Africa-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC), York University, Toronto, ON, Canada.
Laboratory for Industrial and Applied Mathematics, York University, Toronto, ON, Canada.

Zahra Movahedi Nia (Z)

Africa-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC), York University, Toronto, ON, Canada.
Laboratory for Industrial and Applied Mathematics, York University, Toronto, ON, Canada.

Bruce Mellado (B)

Africa-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC), York University, Toronto, ON, Canada.
School of Physics, Institute for Collider Particle Physics, University of the Witwatersrand, Johannesburg, South Africa.

Jianhong Wu (J)

Africa-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC), York University, Toronto, ON, Canada.
Laboratory for Industrial and Applied Mathematics, York University, Toronto, ON, Canada.

James Orbinski (J)

Africa-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC), York University, Toronto, ON, Canada.
Dahdaleh Institute for Global Health Research, York University, Toronto, ON, Canada.

Ali Asgary (A)

Africa-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC), York University, Toronto, ON, Canada.
Advanced Disaster, Emergency and Rapid-Response Simulation (ADERSIM), York University, Toronto, ON, Canada.

Jude Kong (J)

Africa-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC), York University, Toronto, ON, Canada.
Laboratory for Industrial and Applied Mathematics, York University, Toronto, ON, Canada.

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