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About:
Early Pandemic Evaluation and Enhanced Surveillance of COVID-19 (EAVE II): protocol for an observational study using linked Scottish national data
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Academic Article
research paper
schema:ScholarlyArticle
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type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
has title
Early Pandemic Evaluation and Enhanced Surveillance of COVID-19 (EAVE II): protocol for an observational study using linked Scottish national data
Creator
Woolhouse, Mark
Sheikh, Aziz
Gunson, Rory
Morrice, Lynn
Mcmenamin, Jim
Stagg, Helen
Robertson, Chris
Simpson, Colin
Kelly, Dave
Marques, Diogo
Murray, Josie
Ritchie, Lewis
Vasileiou, Eleftheria
Source
Medline; PMC
abstract
INTRODUCTION: Following the emergence of the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in December 2019 and the ensuing COVID-19 pandemic, population-level surveillance and rapid assessment of the effectiveness of existing or new therapeutic or preventive interventions are required to ensure that interventions are targeted to those at highest risk of serious illness or death from COVID-19. We aim to repurpose and expand an existing pandemic reporting platform to determine the attack rate of SARS-CoV-2, the uptake and effectiveness of any new pandemic vaccine (once available) and any protective effect conferred by existing or new antimicrobial drugs and other therapies. METHODS AND ANALYSIS: A prospective observational cohort will be used to monitor daily/weekly the progress of the COVID-19 epidemic and to evaluate the effectiveness of therapeutic interventions in approximately 5.4 million individuals registered in general practices across Scotland. A national linked dataset of patient-level primary care data, out-of-hours, hospitalisation, mortality and laboratory data will be assembled. The primary outcomes will measure association between: (A) laboratory confirmed SARS-CoV-2 infection, morbidity and mortality, and demographic, socioeconomic and clinical population characteristics; and (B) healthcare burden of COVID-19 and demographic, socioeconomic and clinical population characteristics. The secondary outcomes will estimate: (A) the uptake (for vaccines only); (B) effectiveness; and (C) safety of new or existing therapies, vaccines and antimicrobials against SARS-CoV-2 infection. The association between population characteristics and primary outcomes will be assessed via multivariate logistic regression models. The effectiveness of therapies, vaccines and antimicrobials will be assessed from time-dependent Cox models or Poisson regression models. Self-controlled study designs will be explored to estimate the risk of therapeutic and prophylactic-related adverse events. ETHICS AND DISSEMINATION: We obtained approval from the National Research Ethics Service Committee, Southeast Scotland 02. The study findings will be presented at international conferences and published in peer-reviewed journals.
has issue date
2020-06-21
(
xsd:dateTime
)
bibo:doi
10.1136/bmjopen-2020-039097
bibo:pmid
32565483
has license
cc-by
sha1sum (hex)
075e3a9a2a7039b9c56e6e72f38e259704194557
schema:url
https://doi.org/10.1136/bmjopen-2020-039097
resource representing a document's title
Early Pandemic Evaluation and Enhanced Surveillance of COVID-19 (EAVE II): protocol for an observational study using linked Scottish national data
has PubMed Central identifier
PMC7311023
has PubMed identifier
32565483
schema:publication
BMJ Open
resource representing a document's body
covid:075e3a9a2a7039b9c56e6e72f38e259704194557#body_text
is
schema:about
of
named entity 'morbidity'
named entity 'World Health Organisation'
named entity 'population characteristics'
named entity 'SARS-CoV'
named entity 'patient record'
named entity 'change over time'
named entity 'Scotland'
named entity 'general practices'
named entity 'vaccine'
named entity 'vaccine'
named entity 'SARS-CoV-2'
named entity 'intensive care units'
named entity 'virus'
named entity 'explanatory variable'
named entity 'binary variable'
named entity 'confounders'
named entity 'body mass index'
named entity 'COVID'
named entity 'demographic'
named entity 'coronavirus'
named entity 'primary care'
named entity 'global population'
named entity 'respiratory tract'
named entity 'multimorbidity'
named entity 'underlying condition'
named entity 'infection'
named entity 'Epidemiology'
named entity 'spleen'
named entity 'SES'
named entity 'infection'
named entity 'attack rate'
named entity 'risk group'
named entity 'SARS-CoV-2'
named entity 'medical conditions'
named entity 'H3N2'
named entity 'Power calculations'
named entity 'A&E'
named entity 'SARS-CoV-2'
named entity 'NHS'
named entity 'secondary bacterial infections'
named entity 'antiviral'
named entity 'Wuhan'
named entity 'Anti-Viral'
named entity 'data quality assessment'
named entity 'controlled study'
named entity 'Mexico'
named entity 'influenza viruses'
named entity 'COVID-19 disease'
named entity 'change over time'
named entity 'serology test'
named entity 'Scotland'
named entity 'prophylactic'
named entity 'serology'
named entity 'global health'
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named entity 'morbidity'
named entity 'COVID'
named entity 'SARS-CoV-2'
named entity 'older people'
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named entity 'coronavirus'
named entity 'demographic'
named entity 'vaccine'
named entity 'mortality rate'
named entity 'population characteristics'
named entity 'infection'
named entity 'logistic regression'
named entity 'Scotland'
named entity 'COVID'
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