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Conference Paper/Proceeding/Abstract 162 views

Clinical coding of long Covid in Wales: A cohort study of 3.5 million people using linked health and demographic data

Hoda Abbasizanjani Orcid Logo, Stuart Bedston, Lucy Robinson, Matthew Curds, Ashley Akbari Orcid Logo

International Journal of Population Data Science, Volume: 8, Issue: 2

Swansea University Authors: Hoda Abbasizanjani Orcid Logo, Stuart Bedston, Ashley Akbari Orcid Logo

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DOI (Published version): 10.23889/ijpds.v8i2.2308

Published in: International Journal of Population Data Science
ISSN: 2399-4908
Published: Swansea Swansea University 2023
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URI: https://cronfa.swan.ac.uk/Record/cronfa64580
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first_indexed 2023-10-24T09:06:39Z
last_indexed 2023-10-24T09:06:39Z
id cronfa64580
recordtype SURis
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spelling 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 HDAT 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 Health Data Science COLLEGE CODE HDAT 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
author_id_str_mv 93dd7e747f3118a99566c68592a3ddcc
c79d07eaba5c9515c0df82b372b76a41
aa1b025ec0243f708bb5eb0a93d6fb52
author_id_fullname_str_mv 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
institution Swansea University
issn 2399-4908
doi_str_mv 10.23889/ijpds.v8i2.2308
publisher Swansea University
college_str Faculty of Medicine, Health and Life Sciences
hierarchytype
hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str 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
document_store_str 0
active_str 0
published_date 2023-09-14T11:08:48Z
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