Journal article 755 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
,
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
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DOI (Published version): 10.2196/preprints.37821
Abstract
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)
| Published in: | JMIR Formative Research |
|---|---|
| Published: |
JMIR Publications Inc.
2022
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa59635 |
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| Item Description: |
Preprint article before certification by peer review. |
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| College: |
Faculty of Medicine, Health and Life Sciences |