Emerging Infectious Diseases (Nov 2021)

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

  • Matthew H. Samore,
  • Adam Looney,
  • Brian Orleans,
  • Tom Greene,
  • Nathan Seegert,
  • Julio C. Delgado,
  • Angela Presson,
  • Chong Zhang,
  • Jian Ying,
  • Yue Zhang,
  • Jincheng Shen,
  • Patricia Slev,
  • Maclean Gaulin,
  • Mu-Jeung Yang,
  • Andrew T. Pavia,
  • Stephen C. Alder

DOI
https://doi.org/10.3201/eid2711.204435
Journal volume & issue
Vol. 27, no. 11
pp. 2786 – 2794

Abstract

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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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