Détail du document
Identifiant
oai:pubmedcentral.nih.gov:7580...
Sujet
Public HealthAuteur
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, RonanLangue
enEditeur
BMJ Publishing Group
Catégorie
BMJ Open
Année
2020
Date de référencement
14/12/2023
Mots clés
policy demographic interventions study cohort covid-19Résumé
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.
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, 2020, Understanding and responding to COVID-19 in Wales: protocol for a privacy-protecting data platform for enhanced epidemiology and evaluation of interventions, BMJ Publishing Group
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