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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 
,
Alex Handy,
Jil B Mamza,
Tamsin Morris,
Sara Khalid,
Francesco Zaccardi,
Mary Joan Macleod,
Fatemeh Torabi ,
Dexter Canoy,
Ashley Akbari ,
Colin Berry,
Thomas Bolton,
John Nolan,
Kamlesh Khunti,
Spiros Denaxas,
Harry Hemingway,
Cathie Sudlow,
Amitava Banerjee ,
(on behalf of the CVD-COVID-UK Consortium)
,
Alex Handy,
Jil B Mamza,
Tamsin Morris,
Sara Khalid,
Francesco Zaccardi,
Mary Joan Macleod,
Fatemeh Torabi ,
Dexter Canoy,
Ashley Akbari ,
Colin Berry,
Thomas Bolton,
John Nolan,
Kamlesh Khunti,
Spiros Denaxas,
Harry Hemingway,
Cathie Sudlow,
Amitava Banerjee ,
(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 , Ashley Akbari
-
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DOI (Published version): 10.1177/01410768221131897
Abstract
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
| 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 |
| Tags: |
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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 |