Methodological issues for using a common data model (CDM) of COVID-19 vaccine uptake and important adverse events of interest (AEIs): the Data and Connectivity COVID-19 Vaccines Pharmacovigilance (DaC-VaP) United Kingdom feasibility study. (Preprint)

Delanerolle, Gayathri; Williams, Robert; Stipancic, Ana; Byford, Rachel; Forbes, Anna; Anand, Sneha; Bradley, Declan; Tsang, Ruby; Murphy, Siobhán; Akbari, Ashley; Bedston, Stuart; Lyons, Ronan; Owen, Rhiannon; Beggs, Jillian; Chuter, Antony; Balharry, Domnique; Joy, Mark; Sheikh, Aziz; Hobbs, F.D. Richard; Lusignan, Simon de

doi:10.2196/preprints.37821

Journal article 665 views

Methodological issues for using a common data model (CDM) of COVID-19 vaccine uptake and important adverse events of interest (AEIs): the Data and Connectivity COVID-19 Vaccines Pharmacovigilance (DaC-VaP) United Kingdom feasibili...

Gayathri Delanerolle

, Robert Williams

, Ana Stipancic

, Rachel Byford

, Anna Forbes

, Sneha Anand

, Declan Bradley

, Ruby Tsang

, Siobhán Murphy

, Ashley Akbari

, Stuart Bedston, Ronan Lyons

, Rhiannon Owen

, Jillian Beggs

, Antony Chuter

, Domnique Balharry

, Mark Joy

, Aziz Sheikh

, F.D. Richard Hobbs

, Simon de Lusignan

JMIR Formative Research

Swansea University Authors: Ashley Akbari , Stuart Bedston, Ronan Lyons , Rhiannon Owen

Full text not available from this repository: check for access using links below.

DOI (Published version): 10.2196/preprints.37821

Published in:	JMIR Formative Research
Published:	JMIR Publications Inc. 2022
URI:	https://cronfa.swan.ac.uk/Record/cronfa59635
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first_indexed	2022-03-23T11:57:02Z
last_indexed	2022-03-24T04:30:01Z
id	cronfa59635
recordtype	SURis
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spelling	2022-03-23T11:58:37.9397496 v2 59635 2022-03-16 Methodological issues for using a common data model (CDM) of COVID-19 vaccine uptake and important adverse events of interest (AEIs): the Data and Connectivity COVID-19 Vaccines Pharmacovigilance (DaC-VaP) United Kingdom feasibility study. (Preprint) aa1b025ec0243f708bb5eb0a93d6fb52 0000-0003-0814-0801 Ashley Akbari Ashley Akbari true false c79d07eaba5c9515c0df82b372b76a41 Stuart Bedston Stuart Bedston true false 83efcf2a9dfcf8b55586999d3d152ac6 0000-0001-5225-000X Ronan Lyons Ronan Lyons true false 0d30aa00eef6528f763a1e1589f703ec 0000-0001-5977-376X Rhiannon Owen Rhiannon Owen true false 2022-03-16 HDAT Journal Article JMIR Formative Research JMIR Publications Inc. 8 3 2022 2022-03-08 10.2196/preprints.37821 Preprint article before certification by peer review. COLLEGE NANME Health Data Science COLLEGE CODE HDAT Swansea University 2022-03-23T11:58:37.9397496 2022-03-16T11:41:43.0744221 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Gayathri Delanerolle 0000-0002-9628-9245 1 Robert Williams 0000-0002-1370-8898 2 Ana Stipancic 0000-0001-6503-8278 3 Rachel Byford 0000-0002-4792-8995 4 Anna Forbes 0000-0001-7860-3782 5 Sneha Anand 0000-0002-0538-3974 6 Declan Bradley 0000-0003-1468-1823 7 Ruby Tsang 0000-0002-2520-526x 8 Siobhán Murphy 0000-0001-9765-3873 9 Ashley Akbari 0000-0003-0814-0801 10 Stuart Bedston 11 Ronan Lyons 0000-0001-5225-000X 12 Rhiannon Owen 0000-0001-5977-376X 13 Jillian Beggs 0000-0002-7591-3256 14 Antony Chuter 0000-0002-0646-5939 15 Domnique Balharry 0000-0001-7439-2105 16 Mark Joy 0000-0002-4974-3724 17 Aziz Sheikh 0000-0001-7022-3056 18 F.D. Richard Hobbs 0000-0001-7976-7172 19 Simon de Lusignan 0000-0002-8553-2641 20
title	Methodological issues for using a common data model (CDM) of COVID-19 vaccine uptake and important adverse events of interest (AEIs): the Data and Connectivity COVID-19 Vaccines Pharmacovigilance (DaC-VaP) United Kingdom feasibility study. (Preprint)
spellingShingle	Methodological issues for using a common data model (CDM) of COVID-19 vaccine uptake and important adverse events of interest (AEIs): the Data and Connectivity COVID-19 Vaccines Pharmacovigilance (DaC-VaP) United Kingdom feasibility study. (Preprint) Ashley Akbari Stuart Bedston Ronan Lyons Rhiannon Owen
title_short	Methodological issues for using a common data model (CDM) of COVID-19 vaccine uptake and important adverse events of interest (AEIs): the Data and Connectivity COVID-19 Vaccines Pharmacovigilance (DaC-VaP) United Kingdom feasibility study. (Preprint)
title_full	Methodological issues for using a common data model (CDM) of COVID-19 vaccine uptake and important adverse events of interest (AEIs): the Data and Connectivity COVID-19 Vaccines Pharmacovigilance (DaC-VaP) United Kingdom feasibility study. (Preprint)
title_fullStr	Methodological issues for using a common data model (CDM) of COVID-19 vaccine uptake and important adverse events of interest (AEIs): the Data and Connectivity COVID-19 Vaccines Pharmacovigilance (DaC-VaP) United Kingdom feasibility study. (Preprint)
title_full_unstemmed	Methodological issues for using a common data model (CDM) of COVID-19 vaccine uptake and important adverse events of interest (AEIs): the Data and Connectivity COVID-19 Vaccines Pharmacovigilance (DaC-VaP) United Kingdom feasibility study. (Preprint)
title_sort	Methodological issues for using a common data model (CDM) of COVID-19 vaccine uptake and important adverse events of interest (AEIs): the Data and Connectivity COVID-19 Vaccines Pharmacovigilance (DaC-VaP) United Kingdom feasibility study. (Preprint)
author_id_str_mv	aa1b025ec0243f708bb5eb0a93d6fb52 c79d07eaba5c9515c0df82b372b76a41 83efcf2a9dfcf8b55586999d3d152ac6 0d30aa00eef6528f763a1e1589f703ec
author_id_fullname_str_mv	aa1b025ec0243f708bb5eb0a93d6fb52_*_Ashley Akbari c79d07eaba5c9515c0df82b372b76a41__Stuart Bedston 83efcf2a9dfcf8b55586999d3d152ac6__Ronan Lyons 0d30aa00eef6528f763a1e1589f703ec_*_Rhiannon Owen
author	Ashley Akbari Stuart Bedston Ronan Lyons Rhiannon Owen
author2	Gayathri Delanerolle Robert Williams Ana Stipancic Rachel Byford Anna Forbes Sneha Anand Declan Bradley Ruby Tsang Siobhán Murphy Ashley Akbari Stuart Bedston Ronan Lyons Rhiannon Owen Jillian Beggs Antony Chuter Domnique Balharry Mark Joy Aziz Sheikh F.D. Richard Hobbs Simon de Lusignan
format	Journal article
container_title	JMIR Formative Research
publishDate	2022
institution	Swansea University
doi_str_mv	10.2196/preprints.37821
publisher	JMIR Publications Inc.
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
document_store_str	0
active_str	0
published_date	2022-03-08T04:17:06Z
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Methodological issues for using a common data model (CDM) of COVID-19 vaccine uptake and important adverse events of interest (AEIs): the Data and Connectivity COVID-19 Vaccines Pharmacovigilance (DaC-VaP) United Kingdom feasibili...

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