TY -的盟Abd-Alrazaq Alaa盟——Alhuwail达里语盟——Househ Mowafa AU -哈姆迪穆尼尔非盟-沙阿,Zubair PY - 2020 DA - 2020/4/21 TI -最关心的高音COVID-19流行:Infoveillance研究乔- J地中海互联网Res SP - e19016六世- 22 - 4 KW -冠状病毒,COVID-19千瓦SARS-CoV-2 KW - 2019 ncov KW -社会媒体KW -公共卫生KW - Twitter KW - Infoveillance千瓦infodemiology KW -卫生信息学KW -疾病监测AB -背景:最近的冠状病毒病(COVID-19)大流行正在对世界卫生保健基础设施以及人类的社会、经济和心理健康造成损害。个人、组织和政府正在利用社交媒体就与COVID-19大流行有关的一系列问题进行沟通。人们对社交媒体平台上与COVID-19有关的话题知之甚少。分析这些信息可以帮助决策者和卫生保健组织评估其利益相关者的需求，并适当地解决这些需求。目的:本研究旨在确定Twitter用户发布的与COVID-19大流行相关的主要话题。方法:利用一组工具(Twitter的搜索应用程序编程接口(API)、Tweepy Python库和PostgreSQL数据库)和一组预定义的搜索词(“corona”、“2019-nCov”和“COVID-19”)，我们提取了2020年2月2日至2020年3月15日期间公共英语推文的文本和元数据(点赞和转发数量、用户个人资料信息(包括关注者数量))。我们使用单词(unigrams)和双词(bigrams)的词频分析了收集到的tweet。我们利用潜在狄利克雷分配进行主题建模，以识别推文中讨论的主题。我们还进行了情感分析，提取了每个话题的平均转发数、点赞数和关注数，并计算了每个话题的互动率。 Results: Out of approximately 2.8 million tweets included, 167,073 unique tweets from 160,829 unique users met the inclusion criteria. Our analysis identified 12 topics, which were grouped into four main themes: origin of the virus; its sources; its impact on people, countries, and the economy; and ways of mitigating the risk of infection. The mean sentiment was positive for 10 topics and negative for 2 topics (deaths caused by COVID-19 and increased racism). The mean for tweet topics of account followers ranged from 2722 (increased racism) to 13,413 (economic losses). The highest mean of likes for the tweets was 15.4 (economic loss), while the lowest was 3.94 (travel bans and warnings). Conclusions: Public health crisis response activities on the ground and online are becoming increasingly simultaneous and intertwined. Social media provides an opportunity to directly communicate health information to the public. Health systems should work on building national and international disease detection and surveillance systems through monitoring social media. There is also a need for a more proactive and agile public health presence on social media to combat the spread of fake news. SN - 1438-8871 UR - //www.mybigtv.com/2020/4/e19016/ UR - https://doi.org/10.2196/19016 UR - http://www.ncbi.nlm.nih.gov/pubmed/32287039 DO - 10.2196/19016 ID - info:doi/10.2196/19016 ER -