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)

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

doi:10.2196/preprints.37821

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)

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

School of Medicine, Dentistry and Biomedical Sciences

Research output: Other contribution

Original language	English
Type	Preprint
Media of output	JMIR Preprints server
DOIs	https://doi.org/10.2196/preprints.37821
Publication status	Published - 08 Mar 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Access to Document

10.2196/preprints.37821Licence: Unspecified

Cite this

Delanerolle, G., Williams, R., Stipancic, A., Byford, R., Forbes, A., Anand, S., Bradley, D., Tsang, R., Murphy, S., Akbari, A., Bedston, S., Lyons, R., Owen, R., Beggs, J., Chuter, A., Balharry, D., Joy, M., Sheikh, A., Hobbs, F. D. R., & Lusignan, S. D. (2022, Mar 8). 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). https://doi.org/10.2196/preprints.37821

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author = "Gayathri Delanerolle and Robert Williams and Ana Stipancic and Rachel Byford and Anna Forbes and Sneha Anand and Declan Bradley and Ruby Tsang and Siobh{\'a}n Murphy and Ashley Akbari and Stuart Bedston and Ronan Lyons and Rhiannon Owen and Jillian Beggs and Antony Chuter and Domnique Balharry and Mark Joy and Aziz Sheikh and Hobbs, \{F.D. Richard\} and Lusignan, \{Simon de\}",

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doi = "10.2196/preprints.37821",

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Delanerolle, G, Williams, R, Stipancic, A, Byford, R, Forbes, A, Anand, S, Bradley, D, Tsang, R, Murphy, S, Akbari, A, Bedston, S, Lyons, R, Owen, R, Beggs, J, Chuter, A, Balharry, D, Joy, M, Sheikh, A, Hobbs, FDR & Lusignan, SD 2022, 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). https://doi.org/10.2196/preprints.37821

TY - GEN

T1 - 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)

AU - Delanerolle, Gayathri

AU - Williams, Robert

AU - Stipancic, Ana

AU - Byford, Rachel

AU - Forbes, Anna

AU - Anand, Sneha

AU - Bradley, Declan

AU - Tsang, Ruby

AU - Murphy, Siobhán

AU - Akbari, Ashley

AU - Bedston, Stuart

AU - Lyons, Ronan

AU - Owen, Rhiannon

AU - Beggs, Jillian

AU - Chuter, Antony

AU - Balharry, Domnique

AU - Joy, Mark

AU - Sheikh, Aziz

AU - Hobbs, F.D. Richard

AU - Lusignan, Simon de

PY - 2022/3/8

Y1 - 2022/3/8

U2 - 10.2196/preprints.37821

DO - 10.2196/preprints.37821

M3 - Other contribution

ER -