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1.
Geo-social gradients in predicted COVID-19 prevalence and severity in Great Britain: results from 2,266,235 users of the COVID-19 Symptoms Tracker app
Preprint
en Inglés
| PREPRINT-MEDRXIV | ID: ppmedrxiv-20076521
2.
Loss of smell and taste in combination with other symptoms is a strong predictor of COVID-19 infection
Preprint
en Inglés
| PREPRINT-MEDRXIV | ID: ppmedrxiv-20048421
3.
Anosmia and other SARS-CoV-2 positive test-associated symptoms, across three national, digital surveillance platforms as the COVID-19 pandemic and response unfolded: an observation study
Preprint
en Inglés
| PREPRINT-MEDRXIV | ID: ppmedrxiv-20248096
4.
Detecting COVID-19 infection hotspots in England using large-scale self-reported data from a mobile application
Preprint
en Inglés
| PREPRINT-MEDRXIV | ID: ppmedrxiv-20219659
5.
Attributes and predictors of Long-COVID: analysis of COVID cases and their symptoms collected by the Covid Symptoms Study App
Preprint
en Inglés
| PREPRINT-MEDRXIV | ID: ppmedrxiv-20214494
6.
Key predictors of attending hospital with COVID19: An association study from the COVID Symptom Tracker App in 2,618,948 individuals
Preprint
en Inglés
| PREPRINT-MEDRXIV | ID: ppmedrxiv-20079251
7.
Symptom clusters in Covid19: A potential clinical prediction tool from the COVID Symptom study app
Preprint
en Inglés
| PREPRINT-MEDRXIV | ID: ppmedrxiv-20129056
8.
App-based COVID-19 surveillance and prediction: The COVID Symptom Study Sweden
Preprint
en Inglés
| PREPRINT-MEDRXIV | ID: ppmedrxiv-21258691
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