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том 2 издание 1 страницы e32335

Public Opinion and Sentiment Before and at the Beginning of COVID-19 Vaccinations in Japan: Twitter Analysis

Тип публикацииJournal Article
Дата публикации2022-04-19
SCImago Q2
WOS Q2
SJR0.712
CiteScore6.5
Impact factor2.3
ISSN25641891
Краткое описание
Background

COVID-19 vaccines are considered one of the most effective ways for containing the COVID-19 pandemic, but Japan lagged behind other countries in vaccination in the early stages. A deeper understanding of the slow progress of vaccination in Japan can be instructive for COVID-19 booster vaccination and vaccinations during future pandemics.

Objective

This retrospective study aims to analyze the slow progress of early-stage vaccination in Japan by exploring opinions and sentiment toward the COVID-19 vaccine in Japanese tweets before and at the beginning of vaccination.

Methods

We collected 144,101 Japanese tweets containing COVID-19 vaccine-related keywords between August 1, 2020, and June 30, 2021. We visualized the trend of the tweets and sentiments and identified the critical events that may have triggered the surges. Correlations between sentiments and the daily infection, death, and vaccination cases were calculated. The latent dirichlet allocation model was applied to identify topics of negative tweets from the beginning of vaccination. We also conducted an analysis of vaccine brands (Pfizer, Moderna, AstraZeneca) approved in Japan.

Results

The daily number of tweets continued with accelerating growth after the start of large-scale vaccinations in Japan. The sentiments of around 85% of the tweets were neutral, and negative sentiment overwhelmed the positive sentiment in the other tweets. We identified 6 public-concerned topics related to the negative sentiment at the beginning of the vaccination process. Among the vaccines from the 3 manufacturers, the attitude toward Moderna was the most positive, and the attitude toward AstraZeneca was the most negative.

Conclusions

Negative sentiment toward vaccines dominated positive sentiment in Japan, and the concerns about side effects might have outweighed fears of infection at the beginning of the vaccination process. Topic modeling on negative tweets indicated that the government and policy makers should take prompt actions in building a safe and convenient vaccine reservation and rollout system, which requires both flexibility of the medical care system and the acceleration of digitalization in Japan. The public showed different attitudes toward vaccine brands. Policy makers should provide more evidence about the effectiveness and safety of vaccines and rebut fake news to build vaccine confidence.

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ГОСТ |
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Niu Q. et al. Public Opinion and Sentiment Before and at the Beginning of COVID-19 Vaccinations in Japan: Twitter Analysis // JMIR Infodemiology. 2022. Vol. 2. No. 1. p. e32335.
ГОСТ со всеми авторами (до 50) Скопировать
Niu Q., Liu J., Kato M., Shinohara Y., Matsumura N., Aoyama T., Nagai-Tanima M. Public Opinion and Sentiment Before and at the Beginning of COVID-19 Vaccinations in Japan: Twitter Analysis // JMIR Infodemiology. 2022. Vol. 2. No. 1. p. e32335.
RIS |
Цитировать
TY - JOUR
DO - 10.2196/32335
UR - https://doi.org/10.2196/32335
TI - Public Opinion and Sentiment Before and at the Beginning of COVID-19 Vaccinations in Japan: Twitter Analysis
T2 - JMIR Infodemiology
AU - Niu, Qian
AU - Liu, Junyu
AU - Kato, Masaya
AU - Shinohara, Yuki
AU - Matsumura, Natsuki
AU - Aoyama, Tomoki
AU - Nagai-Tanima, Momoko
PY - 2022
DA - 2022/04/19
PB - JMIR Publications
SP - e32335
IS - 1
VL - 2
PMID - 35578643
SN - 2564-1891
ER -
BibTex |
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BibTex (до 50 авторов) Скопировать
@article{2022_Niu,
author = {Qian Niu and Junyu Liu and Masaya Kato and Yuki Shinohara and Natsuki Matsumura and Tomoki Aoyama and Momoko Nagai-Tanima},
title = {Public Opinion and Sentiment Before and at the Beginning of COVID-19 Vaccinations in Japan: Twitter Analysis},
journal = {JMIR Infodemiology},
year = {2022},
volume = {2},
publisher = {JMIR Publications},
month = {apr},
url = {https://doi.org/10.2196/32335},
number = {1},
pages = {e32335},
doi = {10.2196/32335}
}
MLA
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Niu, Qian, et al. “Public Opinion and Sentiment Before and at the Beginning of COVID-19 Vaccinations in Japan: Twitter Analysis.” JMIR Infodemiology, vol. 2, no. 1, Apr. 2022, p. e32335. https://doi.org/10.2196/32335.
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