Cargando…

Monitoring Mentions of COVID-19 Vaccine Side Effects on Japanese and Indonesian Twitter: Infodemiological Study

BACKGROUND: The year 2021 was marked by vaccinations against COVID-19, which spurred wider discussion among the general population, with some in favor and some against vaccination. Twitter, a popular social media platform, was instrumental in providing information about the COVID-19 vaccine and has...

Descripción completa

Detalles Bibliográficos
Autores principales: Ferawati, Kiki, Liew, Kongmeng, Aramaki, Eiji, Wakamiya, Shoko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9578292/
https://www.ncbi.nlm.nih.gov/pubmed/36277140
http://dx.doi.org/10.2196/39504
_version_ 1784811941300011008
author Ferawati, Kiki
Liew, Kongmeng
Aramaki, Eiji
Wakamiya, Shoko
author_facet Ferawati, Kiki
Liew, Kongmeng
Aramaki, Eiji
Wakamiya, Shoko
author_sort Ferawati, Kiki
collection PubMed
description BACKGROUND: The year 2021 was marked by vaccinations against COVID-19, which spurred wider discussion among the general population, with some in favor and some against vaccination. Twitter, a popular social media platform, was instrumental in providing information about the COVID-19 vaccine and has been effective in observing public reactions. We focused on tweets from Japan and Indonesia, 2 countries with a large Twitter-using population, where concerns about side effects were consistently stated as a strong reason for vaccine hesitancy. OBJECTIVE: This study aimed to investigate how Twitter was used to report vaccine-related side effects and to compare the mentions of these side effects from 2 messenger RNA (mRNA) vaccine types developed by Pfizer and Moderna, in Japan and Indonesia. METHODS: We obtained tweet data from Twitter using Japanese and Indonesian keywords related to COVID-19 vaccines and their side effects from January 1, 2021, to December 31, 2021. We then removed users with a high frequency of tweets and merged the tweets from multiple users as a single sentence to focus on user-level analysis, resulting in a total of 214,165 users (Japan) and 12,289 users (Indonesia). Then, we filtered the data to select tweets mentioning Pfizer or Moderna only and removed tweets mentioning both. We compared the side effect counts to the public reports released by Pfizer and Moderna. Afterward, logistic regression models were used to compare the side effects for the Pfizer and Moderna vaccines for each country. RESULTS: We observed some differences in the ratio of side effects between the public reports and tweets. Specifically, fever was mentioned much more frequently in tweets than would be expected based on the public reports. We also observed differences in side effects reported between Pfizer and Moderna vaccines from Japan and Indonesia, with more side effects reported for the Pfizer vaccine in Japanese tweets and more side effects with the Moderna vaccine reported in Indonesian tweets. CONCLUSIONS: We note the possible consequences of vaccine side effect surveillance on Twitter and information dissemination, in that fever appears to be over-represented. This could be due to fever possibly having a higher severity or measurability, and further implications are discussed.
format Online
Article
Text
id pubmed-9578292
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher JMIR Publications
record_format MEDLINE/PubMed
spelling pubmed-95782922022-10-19 Monitoring Mentions of COVID-19 Vaccine Side Effects on Japanese and Indonesian Twitter: Infodemiological Study Ferawati, Kiki Liew, Kongmeng Aramaki, Eiji Wakamiya, Shoko JMIR Infodemiology Original Paper BACKGROUND: The year 2021 was marked by vaccinations against COVID-19, which spurred wider discussion among the general population, with some in favor and some against vaccination. Twitter, a popular social media platform, was instrumental in providing information about the COVID-19 vaccine and has been effective in observing public reactions. We focused on tweets from Japan and Indonesia, 2 countries with a large Twitter-using population, where concerns about side effects were consistently stated as a strong reason for vaccine hesitancy. OBJECTIVE: This study aimed to investigate how Twitter was used to report vaccine-related side effects and to compare the mentions of these side effects from 2 messenger RNA (mRNA) vaccine types developed by Pfizer and Moderna, in Japan and Indonesia. METHODS: We obtained tweet data from Twitter using Japanese and Indonesian keywords related to COVID-19 vaccines and their side effects from January 1, 2021, to December 31, 2021. We then removed users with a high frequency of tweets and merged the tweets from multiple users as a single sentence to focus on user-level analysis, resulting in a total of 214,165 users (Japan) and 12,289 users (Indonesia). Then, we filtered the data to select tweets mentioning Pfizer or Moderna only and removed tweets mentioning both. We compared the side effect counts to the public reports released by Pfizer and Moderna. Afterward, logistic regression models were used to compare the side effects for the Pfizer and Moderna vaccines for each country. RESULTS: We observed some differences in the ratio of side effects between the public reports and tweets. Specifically, fever was mentioned much more frequently in tweets than would be expected based on the public reports. We also observed differences in side effects reported between Pfizer and Moderna vaccines from Japan and Indonesia, with more side effects reported for the Pfizer vaccine in Japanese tweets and more side effects with the Moderna vaccine reported in Indonesian tweets. CONCLUSIONS: We note the possible consequences of vaccine side effect surveillance on Twitter and information dissemination, in that fever appears to be over-represented. This could be due to fever possibly having a higher severity or measurability, and further implications are discussed. JMIR Publications 2022-10-04 /pmc/articles/PMC9578292/ /pubmed/36277140 http://dx.doi.org/10.2196/39504 Text en ©Kiki Ferawati, Kongmeng Liew, Eiji Aramaki, Shoko Wakamiya. Originally published in JMIR Infodemiology (https://infodemiology.jmir.org), 04.10.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Infodemiology, is properly cited. The complete bibliographic information, a link to the original publication on https://infodemiology.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Ferawati, Kiki
Liew, Kongmeng
Aramaki, Eiji
Wakamiya, Shoko
Monitoring Mentions of COVID-19 Vaccine Side Effects on Japanese and Indonesian Twitter: Infodemiological Study
title Monitoring Mentions of COVID-19 Vaccine Side Effects on Japanese and Indonesian Twitter: Infodemiological Study
title_full Monitoring Mentions of COVID-19 Vaccine Side Effects on Japanese and Indonesian Twitter: Infodemiological Study
title_fullStr Monitoring Mentions of COVID-19 Vaccine Side Effects on Japanese and Indonesian Twitter: Infodemiological Study
title_full_unstemmed Monitoring Mentions of COVID-19 Vaccine Side Effects on Japanese and Indonesian Twitter: Infodemiological Study
title_short Monitoring Mentions of COVID-19 Vaccine Side Effects on Japanese and Indonesian Twitter: Infodemiological Study
title_sort monitoring mentions of covid-19 vaccine side effects on japanese and indonesian twitter: infodemiological study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9578292/
https://www.ncbi.nlm.nih.gov/pubmed/36277140
http://dx.doi.org/10.2196/39504
work_keys_str_mv AT ferawatikiki monitoringmentionsofcovid19vaccinesideeffectsonjapaneseandindonesiantwitterinfodemiologicalstudy
AT liewkongmeng monitoringmentionsofcovid19vaccinesideeffectsonjapaneseandindonesiantwitterinfodemiologicalstudy
AT aramakieiji monitoringmentionsofcovid19vaccinesideeffectsonjapaneseandindonesiantwitterinfodemiologicalstudy
AT wakamiyashoko monitoringmentionsofcovid19vaccinesideeffectsonjapaneseandindonesiantwitterinfodemiologicalstudy