Estimates of the rate of infection and asymptomatic COVID-19 disease in a population sample from SE England
Copyright © 2020. Published by Elsevier Ltd..
BACKGROUND: Understanding 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.
METHODS: We 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.
FINDINGS: We 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.
INTERPRETATION: Seroprevalence 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.
FUNDING: NIHR BRC, CDRF, ZOE global LTD, RST-UKRI/MRC.
Errataetall: |
CommentIn: J Infect. 2021 Nov;83(5):607-635. - PMID 34433071 |
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Medienart: |
E-Artikel |
Erscheinungsjahr: |
2020 |
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Erschienen: |
2020 |
Enthalten in: |
Zur Gesamtaufnahme - volume:81 |
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Enthalten in: |
The Journal of infection - 81(2020), 6 vom: 15. Dez., Seite 931-936 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Wells, Philippa M [VerfasserIn] |
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Links: |
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Anmerkungen: |
Date Completed 07.01.2021 Date Revised 19.09.2023 published: Print-Electronic CommentIn: J Infect. 2021 Nov;83(5):607-635. - PMID 34433071 Citation Status MEDLINE |
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doi: |
10.1016/j.jinf.2020.10.011 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM316380687 |
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245 | 1 | 0 | |a Estimates of the rate of infection and asymptomatic COVID-19 disease in a population sample from SE England |
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500 | |a CommentIn: J Infect. 2021 Nov;83(5):607-635. - PMID 34433071 | ||
500 | |a Citation Status MEDLINE | ||
520 | |a Copyright © 2020. Published by Elsevier Ltd. | ||
520 | |a BACKGROUND: Understanding 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 | ||
520 | |a METHODS: We 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 | ||
520 | |a FINDINGS: We 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 | ||
520 | |a INTERPRETATION: Seroprevalence 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 | ||
520 | |a FUNDING: NIHR BRC, CDRF, ZOE global LTD, RST-UKRI/MRC | ||
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