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

Journals

  1. Rudan I, Millington T, Antal K, Grange Z, Fenton L, Sullivan C, Buelo A, Wood R, Woolford L, Swann O, Murray J, Cullen L, Moore E, Haider F, Almaghrabi F, McMenamin J, Agrawal U, Shah S, Kerr S, Simpson C, Katikireddi S, Ritchie S, Robertson C, Sheikh S. BNT162b2 COVID-19 vaccination uptake, safety, effectiveness and waning in children and young people aged 12–17 years in Scotland. The Lancet Regional Health - Europe 2022;23:100513 View
  2. Oja M, Tamm S, Mooses K, Pajusalu M, Talvik H, Ott A, Laht M, Malk M, Lõo M, Holm J, Haug M, Šuvalov H, Särg D, Vilo J, Laur S, Kolde R, Reisberg S. Transforming Estonian health data to the Observational Medical Outcomes Partnership (OMOP) Common Data Model: lessons learned. JAMIA Open 2023;6(4) View
  3. Fruchart M, Quindroit P, Jacquemont C, Beuscart J, Calafiore M, Lamer A. Transforming Primary Care Data Into the Observational Medical Outcomes Partnership Common Data Model: Development and Usability Study. JMIR Medical Informatics 2024;12:e49542 View