Evidence map›Paper›PMID 32565483›Full record

ArticleBMJ open2020

Early Pandemic Evaluation and Enhanced Surveillance of COVID-19 (EAVE II): protocol for an observational study using linked Scottish national data.

Colin R Simpson, Chris Robertson, Eleftheria Vasileiou, Jim McMenamin, Rory Gunson, Lewis D Ritchie, Mark Woolhouse, Lynn Morrice, Dave Kelly, Helen R Stagg and 3 more

Abstract read
In one paragraph

Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

46 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  13. Caveats in reporting of national vaccine uptake.Journal of global health · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Colin R SimpsonWellington School of Health, Faculty of Health, Victoria University of Wellington, Wellington, New Zealand.
Chris RobertsonDepartment of Mathematics and Statistics, University of Strathclyde, Glasgow, UK.
Eleftheria VasileiouUsher Institute, The University of Edinburgh, Edinburgh, UK eleftheria.vasileiou@ed.ac.uk.ORCID 0000-0001-6850-7578
Jim McMenaminPublic Health Scotland, Glasgow, UK.
Rory GunsonWest Of Scotland Specialist Virology Centre, Glasgow, UK.
Lewis D RitchieCentre of Academic Primary Care, University of Aberdeen, Aberdeen, UK.
Mark WoolhouseUsher Institute, The University of Edinburgh, Edinburgh, UK.
Lynn MorriceUsher Institute, The University of Edinburgh, Edinburgh, UK.
Dave KellyThe Centre for Health Science, Albasoft Ltd, Inverness, UK.
Helen R StaggUsher Institute, The University of Edinburgh, Edinburgh, UK.ORCID 0000-0003-4022-3447
Diogo MarquesPublic Health Scotland, Glasgow, UK.ORCID 0000-0002-2556-0923
Josie MurrayPublic Health Scotland, Glasgow, UK.
Aziz SheikhUsher Institute, The University of Edinburgh, Edinburgh, UK.

Funding

Medical Research Council MC_PC_19004Medical Research Council MC_PC_19075Medical Research Council MC_PC_20029Medical Research Council MR/R008345/1
6 · The paper itself

Abstract

introductionFollowing 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.

Indexed as

BetacoronavirusEpidemiological MonitoringCoronavirus InfectionsCOVID-19HumansObservational Studies as TopicPandemicsPatient Care PlanningPneumonia, ViralProspective StudiesRisk AssessmentSARS-CoV-2Scotlandepidemiologypublic healthrespiratory medicine (see thoracic medicine)

Identifiers

PMID32565483
PMCPMC7311023

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.