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Probability-Based Estimates of Severe Acute Respiratory Syndrome Coronavirus 2 Seroprevalence and Detection Fraction, Utah, USA

We aimed to generate an unbiased estimate of the incidence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in 4 urban counties in Utah, USA. We used a multistage sampling design to randomly select community-representative participants >12 years of age. During May 4–June...

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Autores principales: Samore, Matthew H., Looney, Adam, Orleans, Brian, Greene, Tom, Seegert, Nathan, Delgado, Julio C., Presson, Angela, Zhang, Chong, Ying, Jian, Zhang, Yue, Shen, Jincheng, Slev, Patricia, Gaulin, Maclean, Yang, Mu-Jeung, Pavia, Andrew T., Alder, Stephen C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8544980/
https://www.ncbi.nlm.nih.gov/pubmed/34469285
http://dx.doi.org/10.3201/eid2711.204435
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author Samore, Matthew H.
Looney, Adam
Orleans, Brian
Greene, Tom
Seegert, Nathan
Delgado, Julio C.
Presson, Angela
Zhang, Chong
Ying, Jian
Zhang, Yue
Shen, Jincheng
Slev, Patricia
Gaulin, Maclean
Yang, Mu-Jeung
Pavia, Andrew T.
Alder, Stephen C.
author_facet Samore, Matthew H.
Looney, Adam
Orleans, Brian
Greene, Tom
Seegert, Nathan
Delgado, Julio C.
Presson, Angela
Zhang, Chong
Ying, Jian
Zhang, Yue
Shen, Jincheng
Slev, Patricia
Gaulin, Maclean
Yang, Mu-Jeung
Pavia, Andrew T.
Alder, Stephen C.
author_sort Samore, Matthew H.
collection PubMed
description We aimed to generate an unbiased estimate of the incidence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in 4 urban counties in Utah, USA. We used a multistage sampling design to randomly select community-representative participants >12 years of age. During May 4–June 30, 2020, we collected serum samples and survey responses from 8,108 persons belonging to 5,125 households. We used a qualitative chemiluminescent microparticle immunoassay to detect SARS-CoV-2 IgG in serum samples. We estimated the overall seroprevalence to be 0.8%. The estimated seroprevalence-to-case count ratio was 2.5, corresponding to a detection fraction of 40%. Only 0.2% of participants from whom we collected nasopharyngeal swab samples had SARS-CoV-2–positive reverse transcription PCR results. SARS-CoV-2 antibody prevalence during the study was low, and prevalence of PCR-positive cases was even lower. The comparatively high SARS-CoV-2 detection rate (40%) demonstrates the effectiveness of Utah’s testing strategy and public health response.
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spelling pubmed-85449802021-11-06 Probability-Based Estimates of Severe Acute Respiratory Syndrome Coronavirus 2 Seroprevalence and Detection Fraction, Utah, USA Samore, Matthew H. Looney, Adam Orleans, Brian Greene, Tom Seegert, Nathan Delgado, Julio C. Presson, Angela Zhang, Chong Ying, Jian Zhang, Yue Shen, Jincheng Slev, Patricia Gaulin, Maclean Yang, Mu-Jeung Pavia, Andrew T. Alder, Stephen C. Emerg Infect Dis Research We aimed to generate an unbiased estimate of the incidence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in 4 urban counties in Utah, USA. We used a multistage sampling design to randomly select community-representative participants >12 years of age. During May 4–June 30, 2020, we collected serum samples and survey responses from 8,108 persons belonging to 5,125 households. We used a qualitative chemiluminescent microparticle immunoassay to detect SARS-CoV-2 IgG in serum samples. We estimated the overall seroprevalence to be 0.8%. The estimated seroprevalence-to-case count ratio was 2.5, corresponding to a detection fraction of 40%. Only 0.2% of participants from whom we collected nasopharyngeal swab samples had SARS-CoV-2–positive reverse transcription PCR results. SARS-CoV-2 antibody prevalence during the study was low, and prevalence of PCR-positive cases was even lower. The comparatively high SARS-CoV-2 detection rate (40%) demonstrates the effectiveness of Utah’s testing strategy and public health response. Centers for Disease Control and Prevention 2021-11 /pmc/articles/PMC8544980/ /pubmed/34469285 http://dx.doi.org/10.3201/eid2711.204435 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited.
spellingShingle Research
Samore, Matthew H.
Looney, Adam
Orleans, Brian
Greene, Tom
Seegert, Nathan
Delgado, Julio C.
Presson, Angela
Zhang, Chong
Ying, Jian
Zhang, Yue
Shen, Jincheng
Slev, Patricia
Gaulin, Maclean
Yang, Mu-Jeung
Pavia, Andrew T.
Alder, Stephen C.
Probability-Based Estimates of Severe Acute Respiratory Syndrome Coronavirus 2 Seroprevalence and Detection Fraction, Utah, USA
title Probability-Based Estimates of Severe Acute Respiratory Syndrome Coronavirus 2 Seroprevalence and Detection Fraction, Utah, USA
title_full Probability-Based Estimates of Severe Acute Respiratory Syndrome Coronavirus 2 Seroprevalence and Detection Fraction, Utah, USA
title_fullStr Probability-Based Estimates of Severe Acute Respiratory Syndrome Coronavirus 2 Seroprevalence and Detection Fraction, Utah, USA
title_full_unstemmed Probability-Based Estimates of Severe Acute Respiratory Syndrome Coronavirus 2 Seroprevalence and Detection Fraction, Utah, USA
title_short Probability-Based Estimates of Severe Acute Respiratory Syndrome Coronavirus 2 Seroprevalence and Detection Fraction, Utah, USA
title_sort probability-based estimates of severe acute respiratory syndrome coronavirus 2 seroprevalence and detection fraction, utah, usa
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8544980/
https://www.ncbi.nlm.nih.gov/pubmed/34469285
http://dx.doi.org/10.3201/eid2711.204435
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