Using national electronic health records for pandemic preparedness: validation of a parsimonious model for predicting excess deaths among those with COVID-19

Mizani, Mehrdad A. and Dashtban, Muhammad and Pasea, Laura and Lai, Alvina and Thygesen, Johan Hilge, Chris Tomlinson, and Handy, Alex and Mamza, Jil Billy and Morris, Tamsin and Khalid, Sara and Zaccardi, Francesco and Macleod, Mary J. and Torabi, Fatemeh and Canoy, Dexter and Akbari, Ashley and Berry, Colin and Bolton, Thomas and Nolan, John and Khunti, Kamlesh and Denaxas, Spiros and Hemingway, Harry and Sudlow, Cathie and Banerjee, Amitava and Consortium, CVD-COVID-UK
March 2022
PDF Code Dataset Video DOI
Type
Preprint
Publication
Preprints with The Lancet

❗ Now published in Journal of the Royal Society of Medicine

Mizani, Mehrdad A. and Dashtban, Muhammad and Pasea, Laura and Lai, Alvina and Thygesen, Johan Hilge, Chris Tomlinson, and Handy, Alex and Mamza, Jil Billy and Morris, Tamsin and Khalid, Sara and Zaccardi, Francesco and Macleod, Mary J. and Torabi, Fatemeh and Canoy, Dexter and Akbari, Ashley and Berry, Colin and Bolton, Thomas and Nolan, John and Khunti, Kamlesh and Denaxas, Spiros and Hemingway, Harry and Sudlow, Cathie and Banerjee, Amitava and Consortium, CVD-COVID-UK (2022). Using national electronic health records for pandemic preparedness: validation of a parsimonious model for predicting excess deaths among those with COVID-19–a data-driven retrospective cohort study. JRSM.

PDF Code Dataset Video DOI

Twitter thread by Prof Ami Banerjee summarising key results

📺 BHF Data Science Centre seminar by Dr Mehrdad Mizani

COVID-19 CVD-COVID-UK/COVID-IMPACT Con-COV HDR-UK BHF Data Science Centre preprint EHR linkage mortality modelling CVD
Chris Tomlinson
Chris Tomlinson

MBBS BSc MRes DMCC MRCA

Senior Research Fellow in Health Data Science

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