Journal article 483 views
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),
Fatemeh Torabi
,
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),
Fatemeh Torabi
Journal of the Royal Society of Medicine, Volume: 116, Issue: 1, Pages: 10 - 20
Swansea University Authors:
Ashley Akbari , Fatemeh Torabi
Full text not available from this repository: check for access using links below.
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
2023
|
| Online Access: |
Check full text
|
| URI: | https://cronfa.swan.ac.uk/Record/cronfa59637 |
| Item Description: |
The document attached is the pre-print of this article. Please follow the DOI for the official publication. |
|---|---|
| College: |
Faculty of Medicine, Health and Life Sciences |
| Issue: |
1 |
| Start Page: |
10 |
| End Page: |
20 |