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expert reaction to preprint from King’s College London on long COVID using data from the COVID Symptom Study app

A preprint, an unpublished non peer-reviewed study posted to medRxiv, looked at long COVID using data from the King’s College London COVID Symptom Study app.


Prof Charles Bangham FRS FMedSci, Chair of Immunology, Imperial College London, said:

“This excellent study from King’s College London emphasises the need to investigate the syndrome of Long Covid – not only its frequency, but most importantly how it is caused and how best to treat it.  It is also important to note that Long Covid can develop in people of any age, although like acute COVID-19 its frequency rises with age.  Long Covid may impose a significant health burden in the future, even when the pandemic has been brought more under control.”



Preprint (not a paper): ‘Attributes and predictors of Long-COVID: analysis of COVID cases and their symptoms collected by the Covid Symptoms Study App’ by Carole H Sudre et al. was posted on Wednesday 21 October 2020.  This work is not peer-reviewed.


All our previous output on this subject can be seen at this weblink:


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