| Literature DB >> 32393804 |
Cristina Menni1, Ana M Valdes2,3, Claire J Steves2, Tim D Spector4, Maxim B Freidin2, Carole H Sudre5, Long H Nguyen6, David A Drew6, Sajaysurya Ganesh7, Thomas Varsavsky5, M Jorge Cardoso5, Julia S El-Sayed Moustafa2, Alessia Visconti2, Pirro Hysi2, Ruth C E Bowyer2, Massimo Mangino2,8, Mario Falchi2, Jonathan Wolf7, Sebastien Ourselin5, Andrew T Chan6.
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.Entities:
Mesh：
Year: 2020 PMID： 32393804 PMCID： PMC7751267 DOI： 10.1038/s41591-020-0916-2
Source DB: PubMed Journal: Nat Med ISSN： 1078-8956 Impact factor: 53.440