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Trend in Sensitivity of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Serology One Year After Mild and Asymptomatic Coronavirus Disease 2019 (COVID-19): Unpacking Potential Bias in Seroprevalence Studies

A key aim of serosurveillance during the coronavirus disease 2019 (COVID-19) pandemic has been to estimate the prevalence of prior infection, by correcting crude seroprevalence against estimated test performance for polymerase chain reaction (PCR)-confirmed COVID-19. We show that poor generalizabili...

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Autores principales: Bailie, Christopher R, Tseng, Yeu Yang, Carolan, Louise, Kirk, Martyn D, Nicholson, Suellen, Fox, Annette, Sullivan, Sheena G
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8807225/
https://www.ncbi.nlm.nih.gov/pubmed/35026841
http://dx.doi.org/10.1093/cid/ciac020
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author Bailie, Christopher R
Tseng, Yeu Yang
Carolan, Louise
Kirk, Martyn D
Nicholson, Suellen
Fox, Annette
Sullivan, Sheena G
author_facet Bailie, Christopher R
Tseng, Yeu Yang
Carolan, Louise
Kirk, Martyn D
Nicholson, Suellen
Fox, Annette
Sullivan, Sheena G
author_sort Bailie, Christopher R
collection PubMed
description A key aim of serosurveillance during the coronavirus disease 2019 (COVID-19) pandemic has been to estimate the prevalence of prior infection, by correcting crude seroprevalence against estimated test performance for polymerase chain reaction (PCR)-confirmed COVID-19. We show that poor generalizability of sensitivity estimates to some target populations may lead to substantial underestimation of case numbers.
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spelling pubmed-88072252022-02-02 Trend in Sensitivity of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Serology One Year After Mild and Asymptomatic Coronavirus Disease 2019 (COVID-19): Unpacking Potential Bias in Seroprevalence Studies Bailie, Christopher R Tseng, Yeu Yang Carolan, Louise Kirk, Martyn D Nicholson, Suellen Fox, Annette Sullivan, Sheena G Clin Infect Dis Brief Report A key aim of serosurveillance during the coronavirus disease 2019 (COVID-19) pandemic has been to estimate the prevalence of prior infection, by correcting crude seroprevalence against estimated test performance for polymerase chain reaction (PCR)-confirmed COVID-19. We show that poor generalizability of sensitivity estimates to some target populations may lead to substantial underestimation of case numbers. Oxford University Press 2022-01-13 /pmc/articles/PMC8807225/ /pubmed/35026841 http://dx.doi.org/10.1093/cid/ciac020 Text en © The Author(s) 2022. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com. https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_modelThis article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model)
spellingShingle Brief Report
Bailie, Christopher R
Tseng, Yeu Yang
Carolan, Louise
Kirk, Martyn D
Nicholson, Suellen
Fox, Annette
Sullivan, Sheena G
Trend in Sensitivity of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Serology One Year After Mild and Asymptomatic Coronavirus Disease 2019 (COVID-19): Unpacking Potential Bias in Seroprevalence Studies
title Trend in Sensitivity of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Serology One Year After Mild and Asymptomatic Coronavirus Disease 2019 (COVID-19): Unpacking Potential Bias in Seroprevalence Studies
title_full Trend in Sensitivity of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Serology One Year After Mild and Asymptomatic Coronavirus Disease 2019 (COVID-19): Unpacking Potential Bias in Seroprevalence Studies
title_fullStr Trend in Sensitivity of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Serology One Year After Mild and Asymptomatic Coronavirus Disease 2019 (COVID-19): Unpacking Potential Bias in Seroprevalence Studies
title_full_unstemmed Trend in Sensitivity of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Serology One Year After Mild and Asymptomatic Coronavirus Disease 2019 (COVID-19): Unpacking Potential Bias in Seroprevalence Studies
title_short Trend in Sensitivity of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Serology One Year After Mild and Asymptomatic Coronavirus Disease 2019 (COVID-19): Unpacking Potential Bias in Seroprevalence Studies
title_sort trend in sensitivity of severe acute respiratory syndrome coronavirus 2 (sars-cov-2) serology one year after mild and asymptomatic coronavirus disease 2019 (covid-19): unpacking potential bias in seroprevalence studies
topic Brief Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8807225/
https://www.ncbi.nlm.nih.gov/pubmed/35026841
http://dx.doi.org/10.1093/cid/ciac020
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