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COVID-19 antibody seroprevalence in Santa Clara County, California.
Bendavid, Eran; Mulaney, Bianca; Sood, Neeraj; Shah, Soleil; Bromley-Dulfano, Rebecca; Lai, Cara; Weissberg, Zoe; Saavedra-Walker, Rodrigo; Tedrow, Jim; Bogan, Andrew; Kupiec, Thomas; Eichner, Daniel; Gupta, Ribhav; Ioannidis, John P A; Bhattacharya, Jay.
  • Bendavid E; Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
  • Mulaney B; Stanford University School of Medicine, Stanford, CA, USA.
  • Sood N; Sol Price School of Public Policy, University of Southern California, Los Angeles, CA, USA.
  • Shah S; Stanford University School of Medicine, Stanford, CA, USA.
  • Bromley-Dulfano R; Stanford University School of Medicine, Stanford, CA, USA.
  • Lai C; Stanford University School of Medicine, Stanford, CA, USA.
  • Weissberg Z; Stanford University School of Medicine, Stanford, CA, USA.
  • Saavedra-Walker R; Health Education is Power, Inc., Palo Alto, CA, USA.
  • Tedrow J; The Compliance Resource Group, Inc., Oklahoma City, OK, USA.
  • Bogan A; Bogan Associates, LLC, Palo Alto, CA, USA.
  • Kupiec T; ARL BioPharma, Inc., Oklahoma City, OK, USA.
  • Eichner D; Sports Medicine Research and Testing Laboratory, Salt Lake City, UT, USA.
  • Gupta R; Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA.
  • Ioannidis JPA; Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
  • Bhattacharya J; Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA.
Int J Epidemiol ; 50(2): 410-419, 2021 05 17.
Article in English | MEDLINE | ID: covidwho-1093518
Preprint
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ABSTRACT

BACKGROUND:

Measuring the seroprevalence of antibodies to Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is central to understanding infection risk and fatality rates. We studied Coronavirus Disease 2019 (COVID-19)-antibody seroprevalence in a community sample drawn from Santa Clara County.

METHODS:

On 3 and 4 April 2020, we tested 3328 county residents for immunoglobulin G (IgG) and immunoglobulin M (IgM) antibodies to SARS-CoV-2 using a rapid lateral-flow assay (Premier Biotech). Participants were recruited using advertisements that were targeted to reach county residents that matched the county population by gender, race/ethnicity and zip code of residence. We estimate weights to match our sample to the county by zip, age, sex and race/ethnicity. We report the weighted and unweighted prevalence of antibodies to SARS-CoV-2. We adjust for test-performance characteristics by combining data from 18 independent test-kit assessments 14 for specificity and 4 for sensitivity.

RESULTS:

The raw prevalence of antibodies in our sample was 1.5% [exact binomial 95% confidence interval (CI) 1.1-2.0%]. Test-performance specificity in our data was 99.5% (95% CI 99.2-99.7%) and sensitivity was 82.8% (95% CI 76.0-88.4%). The unweighted prevalence adjusted for test-performance characteristics was 1.2% (95% CI 0.7-1.8%). After weighting for population demographics, the prevalence was 2.8% (95% CI 1.3-4.2%), using bootstrap to estimate confidence bounds. These prevalence point estimates imply that 53 000 [95% CI 26 000 to 82 000 using weighted prevalence; 23 000 (95% CI 14 000-35 000) using unweighted prevalence] people were infected in Santa Clara County by late March-many more than the ∼1200 confirmed cases at the time.

CONCLUSION:

The estimated prevalence of SARS-CoV-2 antibodies in Santa Clara County implies that COVID-19 was likely more widespread than indicated by the number of cases in late March, 2020. At the time, low-burden contexts such as Santa Clara County were far from herd-immunity thresholds.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: North America Language: English Journal: Int J Epidemiol Year: 2021 Document Type: Article Affiliation country: Ije

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: North America Language: English Journal: Int J Epidemiol Year: 2021 Document Type: Article Affiliation country: Ije