实时跟踪自我报告的症状以预测潜在的 COVID-19。
Real-time tracking of self-reported symptoms to predict potential COVID-19.
机构信息
Department of Twin Research and Genetic Epidemiology, King's College London, London, UK.
Academic Rheumatology, Clinical Sciences, Nottingham City Hospital, Nottingham, UK.
出版信息
Nat Med. 2020 Jul;26(7):1037-1040. doi: 10.1038/s41591-020-0916-2. Epub 2020 May 11.
Abstract
A total of 2,618,862 participants reported their potential symptoms of COVID-19 on a smartphone-based app. Among the 18,401 who had undergone a SARS-CoV-2 test, the proportion of participants who reported loss of smell and taste was higher in those with a positive test result (4,668 of 7,178 individuals; 65.03%) than in those with a negative test result (2,436 of 11,223 participants; 21.71%) (odds ratio = 6.74; 95% confidence interval = 6.31-7.21). A model combining symptoms to predict probable infection was applied to the data from all app users who reported symptoms (805,753) and predicted that 140,312 (17.42%) participants are likely to have COVID-19.
摘要
共有 2618862 名参与者在基于智能手机的应用程序上报告了他们可能感染 COVID-19 的症状。在接受了 SARS-CoV-2 检测的 18401 人中，检测结果呈阳性的参与者中报告嗅觉和味觉丧失的比例高于检测结果呈阴性的参与者（7178 人中有 4668 人，占 65.03%；11223 人中有 2436 人，占 21.71%）（比值比=6.74；95%置信区间=6.31-7.21）。将结合症状预测可能感染的模型应用于报告症状的所有应用程序用户（805753 人）的数据，预测有 140312（17.42%）名参与者可能患有 COVID-19。
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