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Conference Paper/Proceeding/Abstract 61 views 11 downloads

Identifying patterns of Long-COVID diagnosis pathways: a Latent Class Analysis of Welsh clinical data

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

International Journal of Population Data Science, Volume: 9, Issue: 5

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

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DOI (Published version): 10.23889/ijpds.v9i5.2611

Published in: International Journal of Population Data Science
ISSN: 2399-4908
Published: Swansea University 2024
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URI: https://cronfa.swan.ac.uk/Record/cronfa68417
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last_indexed 2025-02-04T14:29:27Z
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spelling 2025-02-04T11:22:02.9024798 v2 68417 2024-12-02 Identifying patterns of Long-COVID diagnosis pathways: a Latent Class Analysis of Welsh clinical 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 2024-12-02 MEDS Conference Paper/Proceeding/Abstract International Journal of Population Data Science 9 5 Swansea University 2399-4908 10 9 2024 2024-09-10 10.23889/ijpds.v9i5.2611 Abstract COLLEGE NANME Medical School COLLEGE CODE MEDS Swansea University 2025-02-04T11:22:02.9024798 2024-12-02T18:51:51.2140001 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Health Data Science Hoda Abbasizanjani 0000-0002-9575-4758 1 Stuart Bedston 2 Lucy Robinson 3 Matthew Curds 4 Ashley Akbari 0000-0003-0814-0801 5 68417__33485__84dd77791a4d4ec09c9491c318ce7fa3.pdf 68417.VoR.pdf 2025-02-04T11:21:10.9094577 Output 207668 application/pdf Version of Record true 2024 © The Authors. Open Access under CC BY 4.0. true eng https://creativecommons.org/licenses/by/4.0/deed.en
title Identifying patterns of Long-COVID diagnosis pathways: a Latent Class Analysis of Welsh clinical data
spellingShingle Identifying patterns of Long-COVID diagnosis pathways: a Latent Class Analysis of Welsh clinical data
Hoda Abbasizanjani
Stuart Bedston
Ashley Akbari
title_short Identifying patterns of Long-COVID diagnosis pathways: a Latent Class Analysis of Welsh clinical data
title_full Identifying patterns of Long-COVID diagnosis pathways: a Latent Class Analysis of Welsh clinical data
title_fullStr Identifying patterns of Long-COVID diagnosis pathways: a Latent Class Analysis of Welsh clinical data
title_full_unstemmed Identifying patterns of Long-COVID diagnosis pathways: a Latent Class Analysis of Welsh clinical data
title_sort Identifying patterns of Long-COVID diagnosis pathways: a Latent Class Analysis of Welsh clinical data
author_id_str_mv 93dd7e747f3118a99566c68592a3ddcc
c79d07eaba5c9515c0df82b372b76a41
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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 9
container_issue 5
publishDate 2024
institution Swansea University
issn 2399-4908
doi_str_mv 10.23889/ijpds.v9i5.2611
publisher Swansea University
college_str Faculty of Medicine, Health and Life Sciences
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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 - Health Data Science{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Health Data Science
document_store_str 1
active_str 0
published_date 2024-09-10T10:23:40Z
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