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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

Mehrdad A Mizani, Ashkan Dashtban, Laura Pasea, Alvina G Lai, Johan Thygesen, Chris Tomlinson Orcid Logo, Alex Handy, Jil B Mamza, Tamsin Morris, Sara Khalid, Francesco Zaccardi, Mary Joan Macleod, Fatemeh Torabi Orcid Logo, Dexter Canoy, Ashley Akbari Orcid Logo, Colin Berry, Thomas Bolton, John Nolan, Kamlesh Khunti, Spiros Denaxas, Harry Hemingway, Cathie Sudlow, Amitava Banerjee Orcid Logo, (on behalf of the CVD-COVID-UK Consortium)

Journal of the Royal Society of Medicine, Volume: 116, Issue: 1, Start page: 014107682211318

Swansea University Authors: Fatemeh Torabi Orcid Logo, Ashley Akbari Orcid Logo

Published in: Journal of the Royal Society of Medicine
ISSN: 0141-0768 1758-1095
Published: SAGE Publications 2022
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa61933
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Keywords: Clinical; epidemiology; health informatics; infectious diseases; public health
College: Faculty of Medicine, Health and Life Sciences
Funders: The British Heart Foundation Data Science Centre (grant no. SP/19/3/34678, awarded to Health Data Research (HDR) UK) funded co-development (with NHS Digital) of the TRE.
Issue: 1
Start Page: 014107682211318