Niu Qian, Liu Junyu, Kato Masaya, Shinohara Yuki, Matsumura Natsuki, Aoyama Tomoki, Nagai-Tanima Momoko
Department of Human Health Sciences Graduate School of Medicine Kyoto University Kyoto Japan.
Department of Intelligence Science and Technology Graduate School of Informatics Kyoto University Kyoto Japan.
JMIR Infodemiology. 2022 May 9;2(1):e32335. doi: 10.2196/32335. eCollection 2022 Jan-Jun.
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.
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.
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.
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.
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.
新冠疫苗被认为是遏制新冠疫情最有效的方法之一,但日本在早期疫苗接种方面落后于其他国家。深入了解日本疫苗接种进展缓慢的情况,可能对新冠加强针接种以及未来疫情期间的疫苗接种具有指导意义。
这项回顾性研究旨在通过探究日本在疫苗接种前及接种初期推文中对新冠疫苗的看法和情绪,分析日本早期疫苗接种进展缓慢的情况。
我们收集了2020年8月1日至2021年6月30日期间144,101条包含新冠疫苗相关关键词的日语推文。我们将推文的趋势和情绪可视化,并确定了可能引发激增的关键事件。计算了情绪与每日感染、死亡和疫苗接种病例之间的相关性。应用潜在狄利克雷分配模型从疫苗接种开始时识别负面推文的主题。我们还对日本批准的疫苗品牌(辉瑞、莫德纳、阿斯利康)进行了分析。
在日本大规模疫苗接种开始后,每日推文数量持续加速增长。约85%的推文情绪为中性,其他推文中负面情绪超过正面情绪。我们确定了6个与疫苗接种初期负面情绪相关的公众关注话题。在这3家制造商的疫苗中,对莫德纳的态度最积极,对阿斯利康的态度最消极。
在日本,对疫苗的负面情绪主导了正面情绪,在疫苗接种初期,对副作用的担忧可能超过了对感染的恐惧。对负面推文的主题建模表明,政府和政策制定者应迅速采取行动,建立一个安全便捷的疫苗预约和推广系统,这需要日本医疗系统的灵活性以及数字化的加速推进。公众对疫苗品牌表现出不同态度。政策制定者应提供更多关于疫苗有效性和安全性的证据,并驳斥虚假消息,以建立疫苗信心。