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Real-time tracking of self-reported symptoms to predict potential COVID-19
- Source :
- Nature Medicine; July 2020, Vol. 26 Issue: 7 p1037-1040, 4p
- Publication Year :
- 2020
-
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.
Details
- Language :
- English
- ISSN :
- 10788956 and 1546170X
- Volume :
- 26
- Issue :
- 7
- Database :
- Supplemental Index
- Journal :
- Nature Medicine
- Publication Type :
- Periodical
- Accession number :
- ejs53207231
- Full Text :
- https://doi.org/10.1038/s41591-020-0916-2