Data Mining and Content Analysis of the Chinese Social Media Platform Weibo During the Early COVID-19 Outbreak: Retrospective Observational Infoveillance Study.
Data Mining and Content Analysis of the Chinese Social Media Platform Weibo During the Early COVID-19 Outbreak: Retrospective Observational Infoveillance Study.
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DOI：
10.2196/18700
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发表时间：
2020-04-21
影响因子：
8.5
通讯作者：
Mackey, Tim
中科院分区：
文献类型：
--
作者：
Li, Jiawei;Xu, Qing;Mackey, Tim
背景技术背景：新型冠状病毒病（COVID-19）疫情于二零一九年十二月在中国武汉爆发，并于全球迅速蔓延，截至二零二零年四月中旬，已录得逾190万宗病例。使用社交媒体的信息传播方法可以帮助描述疾病分布以及对疫情早期阶段至关重要的公众知识、态度和行为。目的：本研究的目的是对2019冠状病毒病疫情早期阶段中国微博平台微博上源自武汉市的中国社交媒体帖子进行定量和定性评估。方法：从2019年12月23日到2020年1月30日，在微博上收集了39天来自武汉的中文信息。为了进行定量分析，武汉的每日COVID-19病例总数来自中国国家卫生委员会，并使用线性回归模型来确定微博COVID-19帖子是否可预测报告的病例数。采用定性内容分析和归纳人工编码方法识别新闻和用户生成的COVID-19主题的父分类。结果：在研究时间范围内，共收集到115，299条微博帖子，平均每天2956条帖子（最小0条，最大13，587条）。定量分析发现，微博帖子数量与武汉报告病例数量呈正相关，每40个社交媒体帖子中约有10个新冠肺炎病例（P
BACKGROUND: The coronavirus disease (COVID-19) pandemic, which began in Wuhan, China in December 2019, is rapidly spreading worldwide with over 1.9 million cases as of mid-April 2020. Infoveillance approaches using social media can help characterize disease distribution and public knowledge, attitudes, and behaviors critical to the early stages of an outbreak.OBJECTIVE: The aim of this study is to conduct a quantitative and qualitative assessment of Chinese social media posts originating in Wuhan City on the Chinese microblogging platform Weibo during the early stages of the COVID-19 outbreak.METHODS: Chinese-language messages from Wuhan were collected for 39 days between December 23, 2019, and January 30, 2020, on Weibo. For quantitative analysis, the total daily cases of COVID-19 in Wuhan were obtained from the Chinese National Health Commission, and a linear regression model was used to determine if Weibo COVID-19 posts were predictive of the number of cases reported. Qualitative content analysis and an inductive manual coding approach were used to identify parent classifications of news and user-generated COVID-19 topics.RESULTS: A total of 115,299 Weibo posts were collected during the study time frame consisting of an average of 2956 posts per day (minimum 0, maximum 13,587). Quantitative analysis found a positive correlation between the number of Weibo posts and the number of reported cases from Wuhan, with approximately 10 more COVID-19 cases per 40 social media posts (P