Understanding and responding to COVID-19 in Wales: protocol for a privacy-protecting data platform for enhanced epidemiology and evaluation of interventions. Issue 10 (21st October 2020)
- Record Type:
- Journal Article
- Title:
- Understanding and responding to COVID-19 in Wales: protocol for a privacy-protecting data platform for enhanced epidemiology and evaluation of interventions. Issue 10 (21st October 2020)
- Main Title:
- Understanding and responding to COVID-19 in Wales: protocol for a privacy-protecting data platform for enhanced epidemiology and evaluation of interventions
- Authors:
- Lyons, Jane
Akbari, Ashley
Torabi, Fatemeh
Davies, Gareth I
North, Laura
Griffiths, Rowena
Bailey, Rowena
Hollinghurst, Joseph
Fry, Richard
Turner, Samantha L
Thompson, Daniel
Rafferty, James
Mizen, Amy
Orton, Chris
Thompson, Simon
Au-Yeung, Lee
Cross, Lynsey
Gravenor, Mike B
Brophy, Sinead
Lucini, Biagio
John, Ann
Szakmany, Tamas
Davies, Jan
Davies, Chris
Thomas, Daniel Rh
Williams, Christopher
Emmerson, Chris
Cottrell, Simon
Connor, Thomas R
Taylor, Chris
Pugh, Richard J
Diggle, Peter
John, Gareth
Scourfield, Simon
Hunt, Joe
Cunningham, Anne M
Helliwell, Kathryn
Lyons, Ronan
… (more) - Abstract:
- 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) measureAbstract : 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. … (more)
- Is Part Of:
- BMJ open. Volume 10:Issue 10(2020)
- Journal:
- BMJ open
- Issue:
- Volume 10:Issue 10(2020)
- Issue Display:
- Volume 10, Issue 10 (2020)
- Year:
- 2020
- Volume:
- 10
- Issue:
- 10
- Issue Sort Value:
- 2020-0010-0010-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-10-21
- Subjects:
- COVID-19 -- epidemiology -- public health -- health informatics
Medicine -- Research -- Periodicals
610.72 - Journal URLs:
- http://www.bmj.com/archive ↗
http://bmjopen.bmj.com/ ↗ - DOI:
- 10.1136/bmjopen-2020-043010 ↗
- Languages:
- English
- ISSNs:
- 2044-6055
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
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