@文章{信息:doi/10.2196/19118，作者=“刘谦与郑，泽全与郑，嘉彬与陈，秋一与刘，关与陈，思翰与楚，博佳与朱，洪宇与阿金文米，Babatunde与黄，健与张，Casper J P与明，waikit”，标题=“中国新冠肺炎疫情早期新闻媒体健康传播:数字主题建模方法”，期刊=“J Med Internet Res”，年=“2020”，月=“4”，日=“28”，卷=“22”，号=“4”，页=“e19118”，关键词=“冠状病毒;COVID-19;爆发;健康的沟通;大众传媒;公共危机;背景:2019年12月，中国湖北省武汉市首次报告了少数冠状病毒病(COVID-19)病例。不久之后，在中国其他地区发现了越来越多的病例，最终导致了中国的疾病爆发。随着这一可怕疾病的迅速传播，大众媒体积极开展社区教育，传播有关新型冠状病毒的发病机制、传播途径、预防和控制等健康信息。 Objective: The aim of this study was to collect media reports on COVID-19 and investigate the patterns of media-directed health communications as well as the role of the media in this ongoing COVID-19 crisis in China. Methods: We adopted the WiseSearch database to extract related news articles about the coronavirus from major press media between January 1, 2020, and February 20, 2020. We then sorted and analyzed the data using Python software and Python package Jieba. We sought a suitable topic number with evidence of the coherence number. We operated latent Dirichlet allocation topic modeling with a suitable topic number and generated corresponding keywords and topic names. 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. ", issn="1438-8871", doi="10.2196/19118", url="//www.mybigtv.com/2020/4/e19118/", url="https://doi.org/10.2196/19118", url="http://www.ncbi.nlm.nih.gov/pubmed/32302966" }