COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records

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

June 2022

Type

Journal article

Publication

The Lancet Digital Health

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CrossRef - Citation Indexes: 9
Policy Citation - Policy Citations: 1
PubMed - Citation Indexes: 33

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📰 Media coverage

“Most comprehensive analysis of COVID-19 data reveals previously unattributed deaths”. Medical Xpress. 08/06/2022.
“Most comprehensive analysis of COVID-19 data reveals previously unattributed deaths”. HDR UK. 09/06/2022.
“Most comprehensive analysis of COVID-19 data reveals previously unattributed deaths”. ScienMag: Science Magazine. 09/06/2022.
“COVID-19: TCTMD’s Dispatch for June 9”. TCTMD. 09/06/2022.
First-of-its-kind study uses health data to build the most complete picture of COVID-19 pandemic". Emily Henderson. News-Medical.Net. 10/06/2022.
Population-level big data reveals COVID-19 phenotypes". Shanet Susan Alex & Danielle Ellis. News-Medical.Net. 13/06/2022.

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