TY - JOUR AU - Xu, Qing AU - Shen, Ziyi AU - Shah, Neal AU - Cuomo, Raphael AU - Cai, Mingxiang AU - Brown, Matthew AU - Li, Jiawei AU - Mackey, Tim PY - 2020 DA - 20/12/7 TI - COVID-19大流行早期来自中国武汉的微博社交媒体帖子特征:定性内容分析JO - JMIR公共卫生监测SP - e24125 VL - 6 IS - 4kw - COVID-19 KW -信息病学KW -信息监控KW - infodemic KW -微博KW -社交媒体KW -内容分析KW -中国KW -数据挖掘KW -知识KW -态度KW -行为AB -背景:COVID-19大流行已在全球范围内达到4000万确诊病例。鉴于它的迅速发展，研究它的起源以更好地理解人们的知识、态度和反应是如何随时间演变的是很重要的。一种方法是对与信息曝光和用户自我报告体验相关的社交媒体对话进行数据挖掘。目的:本研究旨在通过分析来自新浪微博平台的中文数据，来表征疫情最初震中地区的社交媒体用户的知识、态度和行为。方法:我们使用网络抓取收集了2019年12月31日至2020年1月20日武汉用户发布的包含与covid -19相关关键词的公共微博帖子。然后，我们使用归纳式内容编码方法对所有帖子进行手动注释，以识别特定的信息源和关键主题，包括关于疫情的新闻和知识、公众情绪以及公众对控制和应对措施的反应。结果:我们从8703个独立微博用户中识别出10159条COVID-19帖子。在我们的三个父母分类领域中，67.22% (n=6829)包括新闻和知识帖子，69.72% (n=7083)包括公众情绪，47.87% (n=4863)包括公众反应和自述行为。这条微博同时表达了许多这样的主题。 Subtopics for news and knowledge posts followed four distinct timelines and evidenced an escalation of the outbreak’s seriousness as more information became available. Public sentiment primarily focused on expressions of anxiety, though some expressions of anger and even positive sentiment were also detected. Public reaction included both protective and elevated health risk behavior. Conclusions: Between the announcement of pneumonia and respiratory illness of unknown origin in late December 2019 and the discovery of human-to-human transmission on January 20, 2020, we observed a high volume of public anxiety and confusion about COVID-19, including different reactions to the news by users, negative sentiment after being exposed to information, and public reaction that translated to self-reported behavior. These findings provide early insight into changing knowledge, attitudes, and behaviors about COVID-19, and have the potential to inform future outbreak communication, response, and policy making in China and beyond. SN - 2369-2960 UR - http://publichealth.www.mybigtv.com/2020/4/e24125/ UR - https://doi.org/10.2196/24125 UR - http://www.ncbi.nlm.nih.gov/pubmed/33175693 DO - 10.2196/24125 ID - info:doi/10.2196/24125 ER -