Menni, C;
Valdes, AM;
Freidin, MB;
Sudre, CH;
Nguyen, LH;
Drew, DA;
Ganesh, S;
... Spector, TD; + view all
(2020)
Real-time tracking of self-reported symptoms to predict potential COVID-19.
Nature Medicine
, 26
pp. 1037-1040.
10.1038/s41591-020-0916-2.
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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.
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