@文章{信息:doi/10.2196/19087，作者=“黄春梅、徐春梅、蔡新杰、葛玉阳、曾庆民、李光王、李小盘、张伟德、吉、陈、杨凌”，标题=“挖掘中国新冠肺炎患者特征:社交媒体帖子分析”，期刊=“J Med Internet Res”，年=“2020”，月=“5”，日=“17”，卷=“22”，号=“5”，页=“e19087”，关键词=“SARS-CoV-2”;COVID-19;冠状病毒病;社交媒体;新浪微博;背景:2019年12月，中国湖北省武汉市报告了来源不明的肺炎病例。被确定为冠状病毒病(COVID-19)的病例数在武汉通过人际传播迅速增长。社交媒体，尤其是新浪微博(中国主要的微博社交媒体网站)，已经成为公众获取信息和寻求帮助的重要平台。目的:本研究旨在分析在新浪微博上寻求帮助的疑似或实验室确诊COVID-19患者的特征。方法:在新浪微博上进行数据挖掘，提取485例有临床症状和影像学描述的疑似或实验室确诊病例的数据。 In total, 9878 posts seeking help on Sina Weibo from February 3 to 20, 2020 were analyzed. We used a descriptive research methodology to describe the distribution and other epidemiological characteristics of patients with suspected or laboratory-confirmed SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) infection. The distance between patients' home and the nearest designated hospital was calculated using the geographic information system ArcGIS. Results: All patients included in this study who sought help on Sina Weibo lived in Wuhan, with a median age of 63.0 years (IQR 55.0-71.0). Fever (408/485, 84.12{\%}) was the most common symptom. Ground-glass opacity (237/314, 75.48{\%}) was the most common pattern on chest computed tomography; 39.67{\%} (167/421) of families had suspected and/or laboratory-confirmed family members; 36.58{\%} (154/421) of families had 1 or 2 suspected and/or laboratory-confirmed members; and 70.52{\%} (232/329) of patients needed to rely on their relatives for help. The median time from illness onset to real-time reverse transcription-polymerase chain reaction (RT-PCR) testing was 8 days (IQR 5.0-10.0), and the median time from illness onset to online help was 10 days (IQR 6.0-12.0). Of 481 patients, 32.22{\%} (n=155) lived more than 3 kilometers away from the nearest designated hospital. Conclusions: Our findings show that patients seeking help on Sina Weibo lived in Wuhan and most were elderly. Most patients had fever symptoms, and ground-glass opacities were noted in chest computed tomography. The onset of the disease was characterized by family clustering and most families lived far from the designated hospital. Therefore, we recommend the following: (1) the most stringent centralized medical observation measures should be taken to avoid transmission in family clusters; and (2) social media can help these patients get early attention during Wuhan's lockdown. These findings can help the government and the health department identify high-risk patients and accelerate emergency responses following public demands for help. ", issn="1438-8871", doi="10.2196/19087", url="//www.mybigtv.com/2020/5/e19087/", url="https://doi.org/10.2196/19087", url="http://www.ncbi.nlm.nih.gov/pubmed/32401210" }