Author: Menni, Cristina; Valdes, Ana M; Freidin, Maxim B; Sudre, Carole H; Nguyen, Long H; Drew, David A; Ganesh, Sajaysurya; Varsavsky, Thomas; Cardoso, M Jorge; El-Sayed Moustafa, Julia S; Visconti, Alessia; Hysi, Pirro; Bowyer, Ruth C E; Mangino, Massimo; Falchi, Mario; Wolf, Jonathan; Ourselin, Sebastien; Chan, Andrew T; Steves, Claire J; Spector, Tim D
Title: Real-time tracking of self-reported symptoms to predict potential COVID-19. Cord-id: atn333j9 Document date: 2020_5_11
ID: atn333j9
Snippet: 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
Document: 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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