Lyons, Jane, Akbari, Ashley, Torabi, Fatemeh, Davies, Gareth, North, Laura, Griffiths, Rowena, Bailey, Rowena, Hollinghurst, Joe, Fry, Richard, Turner, Samantha, Thompson, Daniel, Rafferty, James, Mizen, Amy., Orton, Chris, Ellwood-Thompson, Simon, Au-Yeung, Lee, Cross, Lynsey, Gravenor, Mike, Brophy, Sinead, Lucini, Biagio, John, Ann, Szakmany, Tamas  ORCID: https://orcid.org/0000-0003-3632-8844, Davies, Jan, Davies, Chris, Thomas, Daniel Rhys, Williams, Christopher, Emmerson, Chris, Cottrell, Simon, Connor, Thomas ORCID: https://orcid.org/0000-0003-2394-6504, Taylor, Chris ORCID: https://orcid.org/0000-0002-9146-9167, Pugh, Richard, Diggle, Peter J., John, Gareth, Scourfield, Simon, Hunt, Joe, Cunningham, Anne Marie, Helliwell, Kathryn and Lyons, Ronan A.
2020.
Understanding and responding to COVID-19 in Wales: protocol for a privacy protecting data platform for enhanced epidemiology and evaluation of interventions.
BMJ Open
10
(10)
, e043010.
10.1136/bmjopen-2020-043010
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Abstract
Introduction The emergence of the novel respiratory SARS-CoV-2 and subsequent COVID-19 pandemic have required rapid assimilation of population-level data to understand and control the spread of infection in the general and vulnerable populations. Rapid analyses are needed to inform policy development and target interventions to at-risk groups to prevent serious health outcomes. We aim to provide an accessible research platform to determine demographic, socioeconomic and clinical risk factors for infection, morbidity and mortality of COVID-19, to measure the impact of COVID-19 on healthcare utilisation and long-term health, and to enable the evaluation of natural experiments of policy interventions. Methods and analysis Two privacy-protecting population-level cohorts have been created and derived from multisourced demographic and healthcare data. The C20 cohort consists of 3.2 million people in Wales on the 1 January 2020 with follow-up until 31 May 2020. The complete cohort dataset will be updated monthly with some individual datasets available daily. The C16 cohort consists of 3 million people in Wales on the 1 January 2016 with follow-up to 31 December 2019. C16 is designed as a counterfactual cohort to provide contextual comparative population data on disease, health service utilisation and mortality. Study outcomes will: (a) characterise the epidemiology of COVID-19, (b) assess socioeconomic and demographic influences on infection and outcomes, (c) measure the impact of COVID-19 on short -term and longer-term population outcomes and (d) undertake studies on the transmission and spatial spread of infection. Ethics and dissemination The Secure Anonymised Information Linkage-independent Information Governance Review Panel has approved this study. The study findings will be presented to policy groups, public meetings, national and international conferences, and published in peer-reviewed journals.
| Item Type: | Article |
|---|---|
| Date Type: | Published Online |
| Status: | Published |
| Schools: | Schools > Medicine Schools > Social Sciences (Includes Criminology and Education) Schools > Biosciences Research Institutes & Centres > Wales Institute of Social & Economic Research, Data & Methods (WISERD) |
| Publisher: | BMJ Publishing Group |
| ISSN: | 2044-6055 |
| Date of First Compliant Deposit: | 2 October 2020 |
| Date of Acceptance: | 2 October 2020 |
| Last Modified: | 11 Jun 2023 19:21 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/135273 |
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