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Early detection of COVID-19 in the UK using self-reported symptoms: a large-scale, prospective, epidemiological surveillance study
- Source :
- The Lancet Digital Health; September 2021, Vol. 3 Issue: 9 pe587-e598, 12p
- Publication Year :
- 2021
-
Abstract
- Self-reported symptoms during the COVID-19 pandemic have been used to train artificial intelligence models to identify possible infection foci. To date, these models have only considered the culmination or peak of symptoms, which is not suitable for the early detection of infection. We aimed to estimate the probability of an individual being infected with SARS-CoV-2 on the basis of early self-reported symptoms to enable timely self-isolation and urgent testing.
Details
- Language :
- English
- ISSN :
- 25897500
- Volume :
- 3
- Issue :
- 9
- Database :
- Supplemental Index
- Journal :
- The Lancet Digital Health
- Publication Type :
- Periodical
- Accession number :
- ejs57494843
- Full Text :
- https://doi.org/10.1016/S2589-7500(21)00131-X