This paper is in the following e-collection/theme issue:

Early Results from COVID-19 Studies (309) Public (e)Health, Digital Epidemiology and Public Health Informatics (750) JMIR Theme Issue: COVID-19 Special Issue (2461) Ontologies, Classifications, and Coding (243) Vaccination and Immunization in the Digital Age (378)

Published on in Vol 6, No 8 (2022): August

This is a member publication of University of Oxford (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37821, first published .
Methodological Issues in Using a Common Data Model of COVID-19 Vaccine Uptake and Important Adverse Events of Interest: Feasibility Study of Data and Connectivity COVID-19 Vaccines Pharmacovigilance in the United Kingdom

Methodological Issues in Using a Common Data Model of COVID-19 Vaccine Uptake and Important Adverse Events of Interest: Feasibility Study of Data and Connectivity COVID-19 Vaccines Pharmacovigilance in the United Kingdom

Methodological Issues in Using a Common Data Model of COVID-19 Vaccine Uptake and Important Adverse Events of Interest: Feasibility Study of Data and Connectivity COVID-19 Vaccines Pharmacovigilance in the United Kingdom

Authors of this article:

Gayathri Delanerolle1 Author Orcid Image ;   Robert Williams1 Author Orcid Image ;   Ana Stipancic1, 2 Author Orcid Image ;   Rachel Byford1 Author Orcid Image ;   Anna Forbes1 Author Orcid Image ;   Ruby S M Tsang1 Author Orcid Image ;   Sneha N Anand1 Author Orcid Image ;   Declan Bradley3, 4 Author Orcid Image ;   Siobhán Murphy3 Author Orcid Image ;   Ashley Akbari5 Author Orcid Image ;   Stuart Bedston5 Author Orcid Image ;   Ronan A Lyons5 Author Orcid Image ;   Rhiannon Owen5 Author Orcid Image ;   Fatemeh Torabi5 Author Orcid Image ;   Jillian Beggs6 Author Orcid Image ;   Antony Chuter6 Author Orcid Image ;   Dominique Balharry6 Author Orcid Image ;   Mark Joy1 Author Orcid Image ;   Aziz Sheikh6 Author Orcid Image ;   F D Richard Hobbs1 Author Orcid Image ;   Simon de Lusignan1, 2 Author Orcid Image
Article Authors Cited by (3) Tweetations (4) Metrics

Gayathri Delanerolle   1 , MSc ;   Robert Williams   1 ;   Ana Stipancic   1, 2 , MSc ;   Rachel Byford   1 , BSc ;   Anna Forbes   1 , MBChB ;   Ruby S M Tsang   1 , PhD ;   Sneha N Anand   1 , PhD ;   Declan Bradley   3, 4 , PhD ;   Siobhán Murphy   3 , BSc ;   Ashley Akbari   5 , PhD ;   Stuart Bedston   5 , PhD ;   Ronan A Lyons   5 , MD ;   Rhiannon Owen   5 , PhD ;   Fatemeh Torabi   5 , MSc ;   Jillian Beggs   6 , PhD ;   Antony Chuter   6 , MBBS ;   Dominique Balharry   6 , PhD ;   Mark Joy   1 , PhD ;   Aziz Sheikh   6 , PhD ;   F D Richard Hobbs   1 , MBChB ;   Simon de Lusignan   1, 2 , MD

1 Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom

2 Royal College of General Practitioners, London, United Kingdom

3 Centre for Public Health, Queen’s University Belfast, Belfast, United Kingdom

4 Public Health Agency, Belfast, United Kingdom

5 Population Data Science, Swansea University, Swansea, United Kingdom

6 Usher Institute, University of Edinburgh, Edingburgh, United Kingdom

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