Understanding COVID-19 trajectories from a nationwide linked electronic health record cohort of 56 million people: phenotypes, severity, waves & vaccination

Johan H Thygesen, Chris Tomlinson, Sam Hollings, Mehrdad Mizani, Alex Handy, Ashley Akbari, Amitava Banerjee, Jennifer Cooper, Alvina Lai, Ken Li, Bilal Mateen, Naveed Sattar, Reecha Sofat, Ana Torralbo, Honghan Wu, Angela Wood, Jonathan A C Sterne, Christina Pagel, William Whiteley, Cathie Sudlow, Harry Hemingway, Spiros Denaxas, on behalf of the CVD-COVID-UK Consortium
November 2021
PDF Code Dataset DOI
Type
Preprint
Publication
medRxiv

❗ Now published in The Lancet Digital Health

Johan H Thygesen, Chris Tomlinson, Sam Hollings, Mehrdad Mizani, Alex Handy, Ashley Akbari, Amitava Banerjee, Jennifer Cooper, Alvina Lai, Ken Li, Bilal Mateen, Naveed Sattar, Reecha Sofat, Ana Torralbo, Honghan Wu, Angela Wood, Jonathan A C Sterne, Christina Pagel, William Whiteley, Cathie Sudlow, Harry Hemingway, Spiros Denaxas, on behalf of the CVD-COVID-UK Consortium (2022). COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records. Lancet Digital Health.

PDF Code Dataset DOI

Twitter thread summarising key results

COVID-19 CVD-COVID-UK/COVID-IMPACT HDR-UK BHF Data Science Centre preprint phenotyping EHR linkage vaccination policy
Chris Tomlinson
Chris Tomlinson

MBBS BSc MRes DMCC MRCA

Senior Research Fellow in Health Data Science

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