%0期刊文章%@ 1438-8871 %I JMIR出版物%V 22%卡塔尔世界杯8强波胆分析 N 4% P e19118% T中国COVID-19暴发早期通过新闻媒体进行的健康传播:数字主题建模方法%A Liu，郑千A，郑泽泉%A，陈佳彬%A，刘秋义%A，陈冠%A，褚思涵%A，朱伯嘉%A，洪宇%A Akinwunmi，巴巴通德%A Huang，张健%A,Casper J P %A Ming，魏洁杰+暨南大学医学院公共卫生与预防医学系，广东省广州市天河区黄埔西街601号，中国，510632,86 85228852，wkming@alumni.harvard.edu %K冠状病毒%K COVID-19 %K疫情%K健康传播%K大众媒体%K公共危机%K主题建模%D 2020 %7 28.4.2020 %9原创论文%J J医学互联网Res %G英语%X背景:2019年12月，中国湖北省武汉市首次报告了几例冠状病毒疾病(COVID-19)病例。不久之后，中国其他地区也发现了越来越多的病例，最终导致了疾病在中国的爆发。随着这种可怕的疾病迅速传播，大众媒体积极开展COVID-19社区教育，传播有关这种新型冠状病毒的发病机制、传播方式、预防和遏制等健康信息。目的:本研究的目的是收集有关COVID-19的媒体报道，并调查媒体导向的健康传播模式，以及媒体在中国当前COVID-19危机中的作用。方法:我们采用WiseSearch数据库，从2020年1月1日至2020年2月20日期间的主要媒体中提取有关冠状病毒的相关新闻文章。然后我们使用Python软件和Python包Jieba对数据进行整理和分析。我们寻求一个合适的主题数与连贯数的证据。我们使用合适的主题编号进行潜狄利克雷分配主题建模，生成相应的关键字和主题名称。 We then divided these topics into different themes by plotting them into a 2D plane via multidimensional scaling. Results: After removing duplications and irrelevant reports, our search identified 7791 relevant news reports. We listed the number of articles published per day. According to the coherence value, we chose 20 as the number of topics and generated the topics’ themes and keywords. These topics were categorized into nine main primary themes based on the topic visualization figure. The top three most popular themes were prevention and control procedures, medical treatment and research, and global or local social and economic influences, accounting for 32.57% (n=2538), 16.08% (n=1258), and 11.79% (n=919) of the collected reports, respectively. Conclusions: Topic modeling of news articles can produce useful information about the significance of mass media for early health communication. Comparing the number of articles for each day and the outbreak development, we noted that mass media news reports in China lagged behind the development of COVID-19. The major themes accounted for around half the content and tended to focus on the larger society rather than on individuals. The COVID-19 crisis has become a worldwide issue, and society has become concerned about donations and support as well as mental health among others. We recommend that future work addresses the mass media’s actual impact on readers during the COVID-19 crisis through sentiment analysis of news data. %M 32302966 %R 10.2196/19118 %U //www.mybigtv.com/2020/4/e19118/ %U https://doi.org/10.2196/19118 %U http://www.ncbi.nlm.nih.gov/pubmed/32302966