Imperial College London
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ProfessorHelenWard

Faculty of Medicine, School of Public Health

Professor of Public Health
 
 
 
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Contact

 

+44 (0)20 7594 3303h.ward Website

 
 
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Location

 

311School of Public HealthWhite City Campus

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Summary

 

Publications

Citation

BibTex format

@article{Jefferson:2022:10.2196/40035,
author = {Jefferson, E and Cole, C and Mumtaz, S and Cox, S and Giles, TC and Adejumo, S and Urwin, E and Lea, D and Macdonald, C and Best, J and Masood, E and Milligan, G and Johnston, J and Horban, S and Birced, I and Hall, C and Jackson, AS and Collins, C and Rising, S and Dodsley, C and Hampton, J and Hadfield, A and Santos, R and Tarr, S and Panagi, V and Lavagna, J and Jackson, T and Chuter, A and Beggs, J and Martinez-Queipo, M and Ward, H and von, Ziegenweidt J and Burns, F and Martin, J and Sebire, N and Morris, C and Bradley, D and Baxter, R and Ahonen-Bishopp, A and Smith, P and Shoemark, A and Valdes, AM and Ollivere, B and Manisty, C and Eyre, D and Gallant, S and Joy, G and McAuley, A and Connell, D and Northstone, K and Jeffery, K and Di, Angelantonio E and McMahon, A and Walker, M and Semple, MG and Sims, JM and Lawrence, E and Davies, B and Baillie, JK and Tang, M and Leeming, G and Power, L and Breeze, T and Murray, D and Orton, C and Pierce, I and Hall, I and Ladhani, S and Gi},
doi = {10.2196/40035},
journal = {Journal of Medical Internet Research},
title = {A hybrid architecture (CO-CONNECT) to facilitate rapid discovery and access to data across the United Kingdom in response to the COVID-19 pandemic: development study},
url = {http://dx.doi.org/10.2196/40035},
volume = {24},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Background:COVID-19 data have been generated across the United Kingdom as a by-product of clinical care and public health provision, as well as numerous bespoke and repurposed research endeavors. Analysis of these data has underpinned the United Kingdom’s response to the pandemic, and informed public health policies and clinical guidelines. However, these data are held by different organizations, and this fragmented landscape has presented challenges for public health agencies and researchers as they struggle to find relevant data to access and interrogate the data they need to inform the pandemic response at pace.Objective:We aimed to transform UK COVID-19 diagnostic data sets to be findable, accessible, interoperable, and reusable (FAIR).Methods:A federated infrastructure model (COVID - Curated and Open Analysis and Research Platform [CO-CONNECT]) was rapidly built to enable the automated and reproducible mapping of health data partners’ pseudonymized data to the Observational Medical Outcomes Partnership Common Data Model without the need for any data to leave the data controllers’ secure environments, and to support federated cohort discovery queries and meta-analysis.Results:A total of 56 data sets from 19 organizations are being connected to the federated network. The data include research cohorts and COVID-19 data collected through routine health care provision linked to longitudinal health care records and demographics. The infrastructure is live, supporting aggregate-level querying of data across the United Kingdom.Conclusions:CO-CONNECT was developed by a multidisciplinary team. It enables rapid COVID-19 data discovery and instantaneous meta-analysis across data sources, and it is researching streamlined data extraction for use in a Trusted Research Environment for research and public health analysis. CO-CONNECT has the potential to make UK health data more interconnected and better able to answer national-level research questions while m
AU  - Jefferson,E
AU  - Cole,C
AU  - Mumtaz,S
AU  - Cox,S
AU  - Giles,TC
AU  - Adejumo,S
AU  - Urwin,E
AU  - Lea,D
AU  - Macdonald,C
AU  - Best,J
AU  - Masood,E
AU  - Milligan,G
AU  - Johnston,J
AU  - Horban,S
AU  - Birced,I
AU  - Hall,C
AU  - Jackson,AS
AU  - Collins,C
AU  - Rising,S
AU  - Dodsley,C
AU  - Hampton,J
AU  - Hadfield,A
AU  - Santos,R
AU  - Tarr,S
AU  - Panagi,V
AU  - Lavagna,J
AU  - Jackson,T
AU  - Chuter,A
AU  - Beggs,J
AU  - Martinez-Queipo,M
AU  - Ward,H
AU  - von,Ziegenweidt J
AU  - Burns,F
AU  - Martin,J
AU  - Sebire,N
AU  - Morris,C
AU  - Bradley,D
AU  - Baxter,R
AU  - Ahonen-Bishopp,A
AU  - Smith,P
AU  - Shoemark,A
AU  - Valdes,AM
AU  - Ollivere,B
AU  - Manisty,C
AU  - Eyre,D
AU  - Gallant,S
AU  - Joy,G
AU  - McAuley,A
AU  - Connell,D
AU  - Northstone,K
AU  - Jeffery,K
AU  - Di,Angelantonio E
AU  - McMahon,A
AU  - Walker,M
AU  - Semple,MG
AU  - Sims,JM
AU  - Lawrence,E
AU  - Davies,B
AU  - Baillie,JK
AU  - Tang,M
AU  - Leeming,G
AU  - Power,L
AU  - Breeze,T
AU  - Murray,D
AU  - Orton,C
AU  - Pierce,I
AU  - Hall,I
AU  - Ladhani,S
AU  - Gillson,N
AU  - Whitaker,M
AU  - Shallcross,L
AU  - Seymour,D
AU  - Varma,S
AU  - Reilly,G
AU  - Morris,A
AU  - Hopkins,S
AU  - Sheikh,A
AU  - Quinlan,P
DO  - 10.2196/40035
PY  - 2022///
SN  - 1438-8871
TI  - A hybrid architecture (CO-CONNECT) to facilitate rapid discovery and access to data across the United Kingdom in response to the COVID-19 pandemic: development study
T2  - Journal of Medical Internet Research
UR  - http://dx.doi.org/10.2196/40035
UR  - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000976022600004&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
UR  - https://www.jmir.org/2022/12/e40035
UR  - http://hdl.handle.net/10044/1/109032
VL  - 24
ER  -
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