%0期刊文章%@ 1438-8871 %I JMIR出版物%V 24%卡塔尔世界杯8强波胆分析 N 6% P e37466% T日本对感染的恐惧和充足的疫苗保留信息对快速COVID-19疫苗接种的影响:来自回顾性Twitter分析的证据% a牛,Qian % a刘,Junyu % a加藤,Masaya % a Nagai-Tanima,Momoko % a青山,Tomoki %+京都大学医学研究生院人类健康科学系,53,Kawahara-Cho, Shogoin, Sakyo-Ku,京都,606-8507,日本,81 075 751 3964,tanima.momoko.8s@kyoto-u.ac.jp %K COVID-19 %K疫苗犹豫%K日本%K社交媒体%K文本挖掘%D 2022 %7 9.6.2022 %9原创论文%J J Med Internet Res %G英文%X背景:COVID-19大流行对全球公共卫生和社会经济产生了重大影响,因此通过接种COVID-19疫苗实现群体免疫是保护人民和恢复经济的重要因素。在所有国家中,日本在几个月内成为COVID-19疫苗接种率最高的国家之一,尽管日本的疫苗信心在世界范围内最低。目的:通过推特分析,我们试图找到日本快速接种COVID-19疫苗的原因,因为日本是全球疫苗置信度最低的国家。方法:我们从2021年2月1日至9月30日的时间轴内的大规模公共COVID-19推特聊天数据集中下载了与COVID-19相关的日本推文。每日接种病例数从日本首相办公室官方网站收集。预处理后,我们采用单记号和双记号分析,计算词频与日疫苗接种例数之间的交叉相关和Pearson相关系数(r)。然后,我们确定了推文的疫苗情绪和情绪,并使用主题建模来深入研究主要情绪。结果:我们筛选了190,697条与疫苗相关的推文。 Through n-gram token analysis, we discovered the top unigrams and bigrams over the whole period. In all the combinations of the top 6 unigrams, tweets with both keywords “reserve” and “venue” showed the largest correlation with daily vaccination cases (r=0.912; P<.001). On sentiment analysis, negative sentiment overwhelmed positive sentiment, and fear was the dominant emotion across the period. For the latent Dirichlet allocation model on tweets with fear emotion, the two topics were identified as “infect” and “vaccine confidence.” The expectation of the number of tweets generated from topic “infect” was larger than that generated from topic “vaccine confidence.” Conclusions: Our work indicates that awareness of the danger of COVID-19 might increase the willingness to get vaccinated. With a sufficient vaccine supply, effective delivery of vaccine reservation information may be an important factor for people to get vaccinated. We did not find evidence for increased vaccine confidence in Japan during the period of our study. We recommend policy makers to share accurate and prompt information about the infectious diseases and vaccination and to make efforts on smoother delivery of vaccine reservation information. %M 35649182 %R 10.2196/37466 %U //www.mybigtv.com/2022/6/e37466 %U https://doi.org/10.2196/37466 %U http://www.ncbi.nlm.nih.gov/pubmed/35649182
Baidu
map