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Identifying substance misuse related foetal anomaly cases in routinely collected data

Ian Farr, Hywel Evans Orcid Logo, Columbus Ohaeri, Ryan Phillips, Olabambo Oluwasuji, Josh Dixon, Grace Bailey Orcid Logo, Josie Smith

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

Swansea University Authors: Ian Farr, Hywel Evans Orcid Logo, Grace Bailey Orcid Logo

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DOI (Published version): 10.23889/ijpds.v9i5.2789

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/cronfa69981
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spelling 2025-09-03T17:10:56.6229780 v2 69981 2025-07-16 Identifying substance misuse related foetal anomaly cases in routinely collected data 3c02e7e9c2b064ee3e96e83b9777dde4 Ian Farr Ian Farr true false 73cc98a5b8e4122fdfcee5d88208b0b7 0000-0001-6745-4187 Hywel Evans Hywel Evans true false 1e09a407fca9e8047e7738b18d381130 0000-0003-4646-3134 Grace Bailey Grace Bailey true false 2025-07-16 MEDS Journal Article International Journal of Population Data Science 9 5 Swansea University 2399-4908 10 9 2024 2024-09-10 10.23889/ijpds.v9i5.2789 COLLEGE NANME Medical School COLLEGE CODE MEDS Swansea University 2025-09-03T17:10:56.6229780 2025-07-16T18:42:46.7525222 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Health Data Science Ian Farr 1 Hywel Evans 0000-0001-6745-4187 2 Columbus Ohaeri 3 Ryan Phillips 4 Olabambo Oluwasuji 5 Josh Dixon 6 Grace Bailey 0000-0003-4646-3134 7 Josie Smith 8 69981__35020__20f7337c13134bca9bf2d5db7586f029.pdf 69981.VoR.pdf 2025-09-03T17:07:47.0382563 Output 188673 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 substance misuse related foetal anomaly cases in routinely collected data
spellingShingle Identifying substance misuse related foetal anomaly cases in routinely collected data
Ian Farr
Hywel Evans
Grace Bailey
title_short Identifying substance misuse related foetal anomaly cases in routinely collected data
title_full Identifying substance misuse related foetal anomaly cases in routinely collected data
title_fullStr Identifying substance misuse related foetal anomaly cases in routinely collected data
title_full_unstemmed Identifying substance misuse related foetal anomaly cases in routinely collected data
title_sort Identifying substance misuse related foetal anomaly cases in routinely collected data
author_id_str_mv 3c02e7e9c2b064ee3e96e83b9777dde4
73cc98a5b8e4122fdfcee5d88208b0b7
1e09a407fca9e8047e7738b18d381130
author_id_fullname_str_mv 3c02e7e9c2b064ee3e96e83b9777dde4_***_Ian Farr
73cc98a5b8e4122fdfcee5d88208b0b7_***_Hywel Evans
1e09a407fca9e8047e7738b18d381130_***_Grace Bailey
author Ian Farr
Hywel Evans
Grace Bailey
author2 Ian Farr
Hywel Evans
Columbus Ohaeri
Ryan Phillips
Olabambo Oluwasuji
Josh Dixon
Grace Bailey
Josie Smith
format Journal article
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.v9i5.2789
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 2024-09-10T18:01:57Z
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score 11.08899

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