Real-time tracking of self-reported symptoms to predict potential COVID-19

被引:801
作者
Menni, Cristina [1 ]
Valdes, Ana M. [1 ,2 ]
Freidin, Maxim B. [1 ]
Sudre, Carole H. [3 ]
Nguyen, Long H. [4 ,5 ]
Drew, David A. [4 ,5 ]
Ganesh, Sajaysurya [6 ]
Varsavsky, Thomas [3 ]
Cardoso, M. Jorge [3 ]
Moustafa, Julia S. El-Sayed [1 ]
Visconti, Alessia [1 ]
Hysi, Pirro [1 ]
Bowyer, Ruth C. E. [1 ]
Mangino, Massimo [1 ,7 ]
Falchi, Mario [1 ]
Wolf, Jonathan [6 ]
Ourselin, Sebastien [3 ]
Chan, Andrew T. [4 ,5 ]
Steves, Claire J. [1 ]
Spector, Tim D. [1 ]
机构
[1] Kings Coll London, Dept Twin Res & Genet Epidemiol, London, England
[2] Nottingham City Hosp, Acad Rheumatol, Clin Sci, Nottingham, England
[3] Kings Coll London, Sch Biomed Engn & Imaging Sci, London, England
[4] Massachusetts Gen Hosp, Clin & Translat Epidemiol Unit, Boston, MA 02114 USA
[5] Harvard Med Sch, Boston, MA 02115 USA
[6] Zoe Global, London, England
[7] Guys & St Thomas Fdn Trust, NIHR Biomed Res Ctr, London, England
基金
英国工程与自然科学研究理事会; 英国惠康基金; 英国医学研究理事会; 英国科研创新办公室;
关键词
D O I
10.1038/s41591-020-0916-2
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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. Analysis of data from a smartphone-based app designed for large-scale tracking of potential COVID-19 symptoms, used by over 2.5 million participants in the United Kingdom and United States, shows that loss of taste and smell sensations is predictive of potential SARS-CoV-2 infection.
引用
收藏
页码:1037 / +
页数:8
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