Real-time tracking of self-reported symptoms to predict potential COVID-19
(2020)
Journal Article
Menni, C., Valdes, A. M., Freidin, M. B., Sudre, C. H., Nguyen, L. H., Drew, D. A., …Spector, T. D. (2020). Real-time tracking of self-reported symptoms to predict potential COVID-19. Nature Medicine, 26, 1037-1040. https://doi.org/10.1038/s41591-020-0916-2
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 w... Read More about Real-time tracking of self-reported symptoms to predict potential COVID-19.