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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Jun 7, 2022
Date Accepted: Nov 1, 2022
Date Submitted to PubMed: Nov 2, 2022

The final, peer-reviewed published version of this preprint can be found here:

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

Jefferson E, Cole C, Mumtaz S, Cox S, Giles T, Adejumo S, Urwin E, Lea D, McDonald C, Best J, Masood E, Milligan G, Johnston J, Horban S, Birced I, Hall C, Jackson A, Collins C, Rising S, Dodsley C, Hampton J, Hadfield A, Santos R, Tarr S, Panagi V, Lavagna J, Jackson T, Chuter A, Beggs J, Martinez-Quieipo M, Ward H, von Ziegenweidt J, Burns F, Martin J, Sebire N, Morris C, Bradley D, Baxter R, Ahonen-Bishop A, Shoemark A, Valdes A, Ollivere BJ, Manisty C, Eyre DW, Gallant S, Joy G, McAuley A, Connell DW, Northstone K, Jeffery KJ, Di Angelantonio E, McMahon A, Walker M, Semple MG, Sims JM, Lawrence E, Davies B, Baillie JK, Tang M, Leeming G, Power L, Breeze T, Murray DJ, Orton C, Pierce I, Hall I, Ladhani S, Whitaker M, Shallcross L, Seymour D, Varma S, Reilly G, Morris A, Hopkins S, Sheikh A, Quinlan P

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

J Med Internet Res 2022;24(12):e40035

DOI: 10.2196/40035

PMID: 36322788

PMCID: 9822177

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

CO-CONNECT: A hybrid architecture to facilitate rapid discovery and access to UK wide data in the response to the COVID-19 pandemic

  • Emily Jefferson; 
  • Christian Cole; 
  • Shahzad Mumtaz; 
  • Sam Cox; 
  • Tom Giles; 
  • Samuel Adejumo; 
  • Esmond Urwin; 
  • Daniel Lea; 
  • Calum McDonald; 
  • Joseph Best; 
  • Erum Masood; 
  • Gordon Milligan; 
  • Jenny Johnston; 
  • Scott Horban; 
  • Ipek Birced; 
  • Christopher Hall; 
  • Aaron Jackson; 
  • Clare Collins; 
  • Sam Rising; 
  • Charlotte Dodsley; 
  • Jill Hampton; 
  • Andrew Hadfield; 
  • Roberto Santos; 
  • Simon Tarr; 
  • Vasiliki Panagi; 
  • Joseph Lavagna; 
  • Tracy Jackson; 
  • Antony Chuter; 
  • Jillian Beggs; 
  • Magdalena Martinez-Quieipo; 
  • Helen Ward; 
  • Julie von Ziegenweidt; 
  • Frances Burns; 
  • Jo Martin; 
  • Neil Sebire; 
  • Carole Morris; 
  • Declan Bradley; 
  • Rob Baxter; 
  • Anni Ahonen-Bishop; 
  • Amelia Shoemark; 
  • Ana Valdes; 
  • Benjamin J Ollivere; 
  • Charlotte Manisty; 
  • David William Eyre; 
  • Stephanie Gallant; 
  • George Joy; 
  • Andrew McAuley; 
  • David W Connell; 
  • Kate Northstone; 
  • Katie JM Jeffery; 
  • Emanuele Di Angelantonio; 
  • Amy McMahon; 
  • Matthew Walker; 
  • Malcolm Gracie Semple; 
  • Jessica Mai Sims; 
  • Emma Lawrence; 
  • Bethan Davies; 
  • J Kenneth Baillie; 
  • Ming Tang; 
  • Gary Leeming; 
  • Linda Power; 
  • Thomas Breeze; 
  • Duncan J Murray; 
  • Chris Orton; 
  • Iain Pierce; 
  • Ian Hall; 
  • Shamez Ladhani; 
  • Matthew Whitaker; 
  • Laura Shallcross; 
  • David Seymour; 
  • Susheel Varma; 
  • Gerry Reilly; 
  • Andrew Morris; 
  • Susan Hopkins; 
  • Aziz Sheikh; 
  • Philip Quinlan

ABSTRACT

Background:

n.a

Objective:

COVID-19 data have been generated across the UK as a by-product of clinical care and public health provision, and numerous bespoke and repurposed research endeavours. Analysis of these data has underpinned the UK’s response to the pandemic and informed public health policies and clinical guidelines. However, these data are held by different organisations and this fragmented landscape has presented challenges for public health agencies and researchers as they struggle to find, navigate permissions to access and interrogate the data they need to inform the pandemic response at pace.

Methods:

A federated infrastructure model was rapidly built to enable the automated and reproducible mapping of health Data Partners’ pseudonymised data to the OMOP 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:

56 datasets from 19 organisations are being connected to the federated network. The data includes research cohorts and COVID-19 data collected through routine health care provision linked to longitudinal healthcare records and demographics. The infrastructure is live, supporting aggregate level querying of data across the UK.

Conclusions:

CO-CONNECT is a multidisciplinary infrastructure project enabling rapid COVID-19 data discovery, instantaneous meta-analysis across data sources, and is researching streamlined data extraction for egress into a Trusted Research Environment (TRE) 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 whilst maintaining patient confidentiality and local governance procedures.


 Citation

Please cite as:

Jefferson E, Cole C, Mumtaz S, Cox S, Giles T, Adejumo S, Urwin E, Lea D, McDonald C, Best J, Masood E, Milligan G, Johnston J, Horban S, Birced I, Hall C, Jackson A, Collins C, Rising S, Dodsley C, Hampton J, Hadfield A, Santos R, Tarr S, Panagi V, Lavagna J, Jackson T, Chuter A, Beggs J, Martinez-Quieipo M, Ward H, von Ziegenweidt J, Burns F, Martin J, Sebire N, Morris C, Bradley D, Baxter R, Ahonen-Bishop A, Shoemark A, Valdes A, Ollivere BJ, Manisty C, Eyre DW, Gallant S, Joy G, McAuley A, Connell DW, Northstone K, Jeffery KJ, Di Angelantonio E, McMahon A, Walker M, Semple MG, Sims JM, Lawrence E, Davies B, Baillie JK, Tang M, Leeming G, Power L, Breeze T, Murray DJ, Orton C, Pierce I, Hall I, Ladhani S, Whitaker M, Shallcross L, Seymour D, Varma S, Reilly G, Morris A, Hopkins S, Sheikh A, Quinlan P

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

J Med Internet Res 2022;24(12):e40035

DOI: 10.2196/40035

PMID: 36322788

PMCID: 9822177

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