Mulholland, Rachel H; Vasileiou, Eleftheria; Simpson, Colin R; Robertson, Chris; Ritchie, Lewis D; Agrawal, Utkarsh; Woolhouse, Mark; Murray, Josephine Lk; Stagg, Helen R; Docherty, Annemarie B; +4 more... McCowan, Colin; Wood, Rachael; Stock, Sarah J; Sheikh, Aziz; (2021) Cohort Profile: Early Pandemic Evaluation and Enhanced Surveillance of COVID-19 (EAVE II) Database. International journal of epidemiology, 50 (4). pp. 1064-1074. ISSN 0300-5771 DOI: https://doi.org/10.1093/ije/dyab028
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Abstract
Key Features: The Early Pandemic Evaluation and Enhanced Surveillance of COVID-19 (EAVE II) database creates a national, real-time prospective cohort utilising Scotland’s health data infrastructure, to describe the epidemiology of COVID-19, patterns of healthcare utilisation and outcomes, and insights into the effectiveness and safety of vaccines and treatments for COVID-19. As far as we are aware, EAVE II is the first national end-to-end clinical surveillance platform for COVID-19 predominantly using routinely available data. This study contains all 5.4 million individuals registered with a GP in Scotland from 23 February 2020, covering 98-99% of the Scottish population. These primary care records are linked to other data sources from out-of-hours, community, emergency and secondary care, in addition to data on registrations and mortality, laboratory testing, self-reported, and enhanced surveillance. These data will be updated throughout the course of the pandemic. Participants who die or permanently leave Scotland (and deregister from general practices) will drop-out of the cohort. Combining these rich data sources together provides a wealth of information on the natural history of the condition and patients journeys across Scotland’s National Health Service (NHS). Data will be hosted in Scotland’s National Safe Haven within the electronic Data Research and Innovation Service (eDRIS) of Public Health Scotland (PHS). Applicants must submit an enquiry to the corresponding author.
Item Type | Article |
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Faculty and Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology (-2023) |
Research Centre | Covid-19 Research |
PubMed ID | 34089614 |
Elements ID | 197660 |
Official URL | http://dx.doi.org/10.1093/ije/dyab028 |
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Filename: Mulholland_etal_2021_Cohort-profile-early-pandemic-evaluation.pdf
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