2020
DOI: 10.1101/2020.10.19.20214494
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Attributes and predictors of Long-COVID: analysis of COVID cases and their symptoms collected by the Covid Symptoms Study App

Abstract: Reports of "Long-COVID", are rising but little is known about prevalence, risk factors, or whether it is possible to predict a protracted course early in the disease. We analysed data from 4182 incident cases of COVID-19 who logged their symptoms prospectively in the COVID Symptom Study app. 558 (13.3%) had symptoms lasting >28 days, 189 (4.5%) for >8 weeks and 95 (2.3%) for >12 weeks. Long-COVID was characterised by symptoms of fatigue, headache, dyspnoea and anosmia and was more likely with increa… Show more

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Cited by 230 publications
(288 citation statements)
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“…During this period there was evidence of a downturn in daily infections from the national surveillance data on symptomatic cases ("Pillar 1 and 2") [1] and from the coronavirus symptom app (Zoe app) [12] , and a plateau in data from the Office for National Statistics Coronavirus (COVID-19) Infection Survey [13] . Despite differences between these data streams in their recruitment strategy including whether this is influenced by symptom status [1,12], all four are broadly consistent in identifying an inflection point towards the end of our study period.…”
Section: Discussionmentioning
confidence: 99%
“…During this period there was evidence of a downturn in daily infections from the national surveillance data on symptomatic cases ("Pillar 1 and 2") [1] and from the coronavirus symptom app (Zoe app) [12] , and a plateau in data from the Office for National Statistics Coronavirus (COVID-19) Infection Survey [13] . Despite differences between these data streams in their recruitment strategy including whether this is influenced by symptom status [1,12], all four are broadly consistent in identifying an inflection point towards the end of our study period.…”
Section: Discussionmentioning
confidence: 99%
“…The survey asked respondents to detail their experience of a subset of 66 symptoms over time. Respondents indicated whether each of these symptoms was present during a series of time intervals following the onset of their first symptoms: week 1 (days 1-7), week 2 (days [8][9][10][11][12][13][14], week 3 (days 15-21), week 4 (days [22][23][24][25][26][27][28][29][30], month 2 (days 31-60), month 3 (days 61-90), month 4 (days 91-120), month 5 (days 121-150, month 6 (days 151-180), and month 7 (days 181-210).…”
Section: Symptom Time Course Estimationmentioning
confidence: 99%
“…Symptoms of illness persisting after resolution of acute SARS-CoV-2 infection are common, yet incompletely described. A prospective observational cohort of 4,182 people positive for SARS-CoV-2 in Great Britain, the US, and Sweden revealed persistent symptoms for more than 28 days (long COVID LC28) in 13.3% of study volunteers ( Sudre et al., 2020 ). The proportion of people with obesity was higher in the LC28 cohort relative to the cohort reporting shorter duration of symptoms.…”
Section: Long-covid Syndrome and Indirect Consequences Of Covid-19mentioning
confidence: 99%