Evidence map›Paper›PMID 33068628›Full record

ArticleThe Journal of infection2020

Estimates of the rate of infection and asymptomatic COVID-19 disease in a population sample from SE England.

Philippa M Wells, Katie J Doores, Simon Couvreur, Rocio Martinez Nunez, Jeffrey Seow, Carl Graham, Sam Acors, Neophytos Kouphou, Stuart J D Neil, Richard S Tedder and 21 more

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of infection, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 4 pooled it
1.6field-weighted citation impact, top 9% of its field
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

34 citing papers in PubMed, 4 syntheses or guidelines pooled it, 67 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

31 authors at 4 institutions in 1 country.

Philippa M WellsDepartment of Twin Research, King's College London, St Thomas' Hospital, London SE1 7EH, UK.
Katie J DooresDepartment of Infectious Diseases, School of Immunology & Microbial Sciences, King's College London, London, UK.
Simon CouvreurDepartment of Twin Research, King's College London, St Thomas' Hospital, London SE1 7EH, UK.
Rocio Martinez NunezDepartment of Infectious Diseases, School of Immunology & Microbial Sciences, King's College London, London, UK.
Jeffrey SeowDepartment of Infectious Diseases, School of Immunology & Microbial Sciences, King's College London, London, UK.
Carl GrahamDepartment of Infectious Diseases, School of Immunology & Microbial Sciences, King's College London, London, UK.
Sam AcorsDepartment of Infectious Diseases, School of Immunology & Microbial Sciences, King's College London, London, UK.
Neophytos KouphouDepartment of Infectious Diseases, School of Immunology & Microbial Sciences, King's College London, London, UK.
Stuart J D NeilDepartment of Infectious Diseases, School of Immunology & Microbial Sciences, King's College London, London, UK.
Richard S TedderDepartment of Infectious Disease, Imperial College London, UK.
Pedro M MatosDepartment of Infectious Diseases, School of Immunology & Microbial Sciences, King's College London, London, UK.
Kate PoultonDepartment of Infectious Diseases, School of Immunology & Microbial Sciences, King's College London, London, UK.
Maria Jose ListaDepartment of Infectious Diseases, School of Immunology & Microbial Sciences, King's College London, London, UK.
Ruth E DickensonDepartment of Infectious Diseases, School of Immunology & Microbial Sciences, King's College London, London, UK.
Helin SertkayaDepartment of Infectious Diseases, School of Immunology & Microbial Sciences, King's College London, London, UK.
Thomas J A MaguireCentre for Inflammation Biology and Cancer Immunology, Department of Inflammation Biology, School of Immunology & Microbial Sciences, King's College London, London, UK.
Edward J ScourfieldDepartment of Infectious Diseases, School of Immunology & Microbial Sciences, King's College London, London, UK.
Ruth C E BowyerDepartment of Twin Research, King's College London, St Thomas' Hospital, London SE1 7EH, UK.
Deborah HartDepartment of Twin Research, King's College London, St Thomas' Hospital, London SE1 7EH, UK.
Aoife O'ByrneCentre for Inflammation Biology and Cancer Immunology, Department of Inflammation Biology, School of Immunology & Microbial Sciences, King's College London, London, UK.
Kathryn J A SteelCentre for Inflammation Biology and Cancer Immunology, Department of Inflammation Biology, School of Immunology & Microbial Sciences, King's College London, London, UK.
Oliver HemmingsDepartment of Immunobiology, School of Immunology and Microbial Sciences, King's College London, London, UK.
Carolina RosadasDepartment of Infectious Disease, Imperial College London, UK.
Myra O McClureDepartment of Infectious Disease, Imperial College London, UK.
Joan Capedevilla-PujolZoe Global Ltd., Westminster Bridge Rd, London, UK.
Jonathan WolfZoe Global Ltd., Westminster Bridge Rd, London, UK.
Sebastien OurselinSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Matthew A BrownDepartment of Medical & Molecular Genetics, Guy's and St Thomas' Hospital NHS Trust and King's College London NIHR Biomedical Research Centre, London, UK.
Michael H MalimDepartment of Infectious Diseases, School of Immunology & Microbial Sciences, King's College London, London, UK.
Tim SpectorDepartment of Twin Research, King's College London, St Thomas' Hospital, London SE1 7EH, UK.
Claire J StevesDepartment of Twin Research, King's College London, St Thomas' Hospital, London SE1 7EH, UK. Electronic address: Claire.J.Steves@kcl.ac.uk.
King's College London · GBImperial College London · GBSt Thomas' Hospital · GBCentre for Inflammation Research · GB

Funding

Medical Research Council MC_PC_14105Medical Research Council MC_PC_15068Medical Research Council MR/M016560/1Medical Research Council MR/S023747/1Wellcome Trust
6 · The paper itself

Abstract

backgroundUnderstanding of the true asymptomatic rate of infection of SARS-CoV-2 is currently limited, as is understanding of the population-based seroprevalence after the first wave of COVID-19 within the UK. The majority of data thus far come from hospitalised patients, with little focus on general population cases, or their symptoms.

methodsWe undertook enzyme linked immunosorbent assay characterisation of IgM and IgG responses against SARS-CoV-2 spike glycoprotein and nucleocapsid protein of 431 unselected general-population participants of the TwinsUK cohort from South-East England, aged 19-86 (median age 48; 85% female). 382 participants completed prospective logging of 14 COVID-19 related symptoms via the COVID Symptom Study App, allowing consideration of serology alongside individual symptoms, and a predictive algorithm for estimated COVID-19 previously modelled on PCR positive individuals from a dataset of over 2 million.

findingsWe demonstrated a seroprevalence of 12% (51 participants of 431). Of 48 seropositive individuals with full symptom data, nine (19%) were fully asymptomatic, and 16 (27%) were asymptomatic for core COVID-19 symptoms: fever, cough or anosmia. Specificity of anosmia for seropositivity was 95%, compared to 88% for fever cough and anosmia combined. 34 individuals in the cohort were predicted to be Covid-19 positive using the App algorithm, and of those, 18 (52%) were seropositive.

interpretationSeroprevalence amongst adults from London and South-East England was 12%, and 19% of seropositive individuals with prospective symptom logging were fully asymptomatic throughout the study. Anosmia demonstrated the highest symptom specificity for SARS-CoV-2 antibody response.

fundingNIHR BRC, CDRF, ZOE global LTD, RST-UKRI/MRC.

Indexed as

AdultAgedAged, 80 and overAnosmiaAntibodies, ViralAsymptomatic InfectionsCOVID-19EnglandEnzyme-Linked Immunosorbent AssayFemaleHumansImmunoglobulin GImmunoglobulin MMaleMiddle AgedProspective StudiesAntibodies, ViralImmunoglobulin GImmunoglobulin MSpike Glycoprotein, Coronavirusspike glycoprotein, SARS-CoVAnosmiaAntibodyAsymptomaticCOVID-19ImmunityPopulationSARS-CoV-2SeropoprevalenceUK

Identifiers

PMID33068628
PMCPMC7557299
OpenAlexW3092785299

What OpenQuestion holds

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Registered trials

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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.