%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 6% P e19455 %T在韩国新型冠状病毒(COVID-19)爆发的早期阶段，在线信息交换和焦虑传播:结构主题模型和网络分析%A Jo,Wonkwang %A Lee,Jaeho %A Park,Junli %A Kim,Yeol %+国家癌症控制研究所，国家癌症中心，323，一山路，高阳，10408，韩国，82 31 920 1753,drheat@ncc.re.kr %K冠状病毒%K焦虑%K大流行%K在线%K健康信息交换%K主题建模%D 2020 %7 2.6.2020 %9原始论文%J J Med Internet Res %G英文%X背景:在发生新型冠状病毒病(COVID-19)等人群传染病疫情时，由于难以从可靠来源获取可信信息，人们的网络活动可能会严重影响公众关注和健康行为，这反过来又会导致人们在网络上寻求必要的信息。因此，衡量和分析在线健康传播和公众情绪对于制定有效和高效的疾病控制政策至关重要，特别是在疫情暴发的早期阶段。目的:本研究旨在调查网络健康传播趋势，分析新冠肺炎早期人们焦虑的焦点，并评估网络信息的适当性。方法:从国内人气最高的门户网站Naver(2020年1月20日~ 2020年3月2日)收集了与新冠肺炎相关的13148个问题和29040个答案。本研究主要采用三种方法:(1)采用结构主题模型对在线问题中的主题进行分析;(2)进行词语网络分析，分析人们在问题中焦虑和担忧的重点;(3)两名医生评估了问题答案的适当性，这些问题主要与人们的焦虑有关。结果:从问题中共识别出50个主题和6个有凝聚力的主题社区。 Among them, topic community 4 (suspecting COVID-19 infection after developing a particular symptom) accounted for the largest portion of the questions. As the number of confirmed patients increased, the proportion of topics belonging to topic community 4 also increased. Additionally, the prolonged situation led to a slight increase in the proportion of topics related to job issues. People’s anxieties and worries were closely related with physical symptoms and self-protection methods. Although relatively appropriate to suspect physical symptoms, a high proportion of answers related to self-protection methods were assessed as misinformation or advertisements. Conclusions: Search activity for online information regarding the COVID-19 outbreak has been active. Many of the online questions were related to people’s anxieties and worries. A considerable portion of corresponding answers had false information or were advertisements. The study results could contribute reference information to various countries that need to monitor public anxiety and provide appropriate information in the early stage of an infectious disease outbreak, including COVID-19. Our research also contributes to developing methods for measuring public opinion and sentiment in an epidemic situation based on natural language data on the internet. %M 32463367 %R 10.2196/19455 %U //www.mybigtv.com/2020/6/e19455 %U https://doi.org/10.2196/19455 %U http://www.ncbi.nlm.nih.gov/pubmed/32463367