Self reported


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Quantitative analysis of self-reported symptoms in COVID-19 positive patients on Twitter along with other clinical studies.
PMID 32620975
Title Self-reported COVID-19 symptoms on Twitter: an analysis and a research resource.
Author(s) nameSarker A, Lakamana S, Hogg-Bremer W, Xie A, Al-Garadi MA, Yang YC.
Journal J Am Med Inform Assoc
Impact factor4.46
Citation count7
Date of publishing2020 Aug 1
Quantitative analysis of self-reported symptoms in COVID-19 positive patients on Twitter along with other clinical studies.
PMID 32620975
Title Self-reported COVID-19 symptoms on Twitter: an analysis and a research resource.
Author(s) nameSarker A, Lakamana S, Hogg-Bremer W, Xie A, Al-Garadi MA, Yang YC.
Journal J Am Med Inform Assoc
Impact factor4.46
Citation count7
Date of publishing2020 Aug 1
Frequency distribution of various symptoms in 2,450,569 participants from the United Kingdom were evaluated and interpreted.
PMID 32393804
Title Real-time tracking of self-reported symptoms to predict potential COVID-19.
Author(s) nameMenni C, Valdes AM, Freidin MB, Sudre CH, Nguyen LH, Drew DA, Ganesh S, Varsavsky T, Cardoso MJ, El-Sayed Moustafa JS, Visconti A, Hysi P, Bowyer RCE, Mangino M, Falchi M, Wolf J, Ourselin S, Chan AT, Steves CJ, Spector TD.
Journal Nat Med
Impact factor22.66
Citation count148
Date of publishing2020 Jul
Frequency distribution of various symptoms in 168,293 participants from the United States of America were evaluated and interpreted.
PMID 32393804
Title Real-time tracking of self-reported symptoms to predict potential COVID-19.
Author(s) nameMenni C, Valdes AM, Freidin MB, Sudre CH, Nguyen LH, Drew DA, Ganesh S, Varsavsky T, Cardoso MJ, El-Sayed Moustafa JS, Visconti A, Hysi P, Bowyer RCE, Mangino M, Falchi M, Wolf J, Ourselin S, Chan AT, Steves CJ, Spector TD.
Journal Nat Med
Impact factor22.66
Citation count148
Date of publishing2020 Jul
The Covid Symptoms tracking app aim to track the daily self-reported symptoms of users in UK. The app helps track the range of symptoms, identify hotspots and characteristics of people under risk. Additionally, the app has been distributed to twins to identify the reason behind the varying severity of the disease
PMID 32220898
Title Covid-19: Researchers launch app to track spread of symptoms in the UK
Author(s) nameMayor S.
Journal BMJ
Impact factor30.22
Citation count11
Date of publishing2020 Mar 27