Conference Paper/Proceeding/Abstract 382 views
Clinical coding of long Covid in Wales: A cohort study of 3.5 million people using linked health and demographic data
International Journal of Population Data Science, Volume: 8, Issue: 2
Swansea University Authors:
Hoda Abbasizanjani , Stuart Bedston, Ashley Akbari
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DOI (Published version): 10.23889/ijpds.v8i2.2308
Abstract
Clinical coding of long Covid in Wales: A cohort study of 3.5 million people using linked health and demographic data
Published in: | International Journal of Population Data Science |
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ISSN: | 2399-4908 |
Published: |
Swansea
Swansea University
2023
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Online Access: |
Check full text
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URI: | https://cronfa.swan.ac.uk/Record/cronfa64580 |
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2023-10-24T09:06:39Z |
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2024-11-25T14:14:17Z |
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2023-10-24T11:08:46.9434215 v2 64580 2023-09-20 Clinical coding of long Covid in Wales: A cohort study of 3.5 million people using linked health and demographic data 93dd7e747f3118a99566c68592a3ddcc 0000-0002-9575-4758 Hoda Abbasizanjani Hoda Abbasizanjani true false c79d07eaba5c9515c0df82b372b76a41 Stuart Bedston Stuart Bedston true false aa1b025ec0243f708bb5eb0a93d6fb52 0000-0003-0814-0801 Ashley Akbari Ashley Akbari true false 2023-09-20 MEDS Conference Paper/Proceeding/Abstract International Journal of Population Data Science 8 2 Swansea University Swansea 2399-4908 14 9 2023 2023-09-14 10.23889/ijpds.v8i2.2308 http://dx.doi.org/10.23889/ijpds.v8i2.2308 Conference Abstract. ADR UK Conference 2023, 14 - 16 November, Birmingham. COLLEGE NANME Medical School COLLEGE CODE MEDS Swansea University 2023-10-24T11:08:46.9434215 2023-09-20T18:29:00.7779628 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Hoda Abbasizanjani 0000-0002-9575-4758 1 Stuart Bedston 2 Lucy Robinson 3 Matthew Curds 4 Ashley Akbari 0000-0003-0814-0801 5 |
title |
Clinical coding of long Covid in Wales: A cohort study of 3.5 million people using linked health and demographic data |
spellingShingle |
Clinical coding of long Covid in Wales: A cohort study of 3.5 million people using linked health and demographic data Hoda Abbasizanjani Stuart Bedston Ashley Akbari |
title_short |
Clinical coding of long Covid in Wales: A cohort study of 3.5 million people using linked health and demographic data |
title_full |
Clinical coding of long Covid in Wales: A cohort study of 3.5 million people using linked health and demographic data |
title_fullStr |
Clinical coding of long Covid in Wales: A cohort study of 3.5 million people using linked health and demographic data |
title_full_unstemmed |
Clinical coding of long Covid in Wales: A cohort study of 3.5 million people using linked health and demographic data |
title_sort |
Clinical coding of long Covid in Wales: A cohort study of 3.5 million people using linked health and demographic data |
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93dd7e747f3118a99566c68592a3ddcc c79d07eaba5c9515c0df82b372b76a41 aa1b025ec0243f708bb5eb0a93d6fb52 |
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93dd7e747f3118a99566c68592a3ddcc_***_Hoda Abbasizanjani c79d07eaba5c9515c0df82b372b76a41_***_Stuart Bedston aa1b025ec0243f708bb5eb0a93d6fb52_***_Ashley Akbari |
author |
Hoda Abbasizanjani Stuart Bedston Ashley Akbari |
author2 |
Hoda Abbasizanjani Stuart Bedston Lucy Robinson Matthew Curds Ashley Akbari |
format |
Conference Paper/Proceeding/Abstract |
container_title |
International Journal of Population Data Science |
container_volume |
8 |
container_issue |
2 |
publishDate |
2023 |
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Swansea University |
issn |
2399-4908 |
doi_str_mv |
10.23889/ijpds.v8i2.2308 |
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Swansea University |
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Faculty of Medicine, Health and Life Sciences |
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|
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facultyofmedicinehealthandlifesciences |
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Faculty of Medicine, Health and Life Sciences |
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facultyofmedicinehealthandlifesciences |
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Faculty of Medicine, Health and Life Sciences |
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Swansea University Medical School - Medicine{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Medicine |
url |
http://dx.doi.org/10.23889/ijpds.v8i2.2308 |
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published_date |
2023-09-14T08:10:32Z |
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11.054383 |