COVID-19 antibody seroprevalence in Santa Clara County, California.


Journal

International journal of epidemiology
ISSN: 1464-3685
Titre abrégé: Int J Epidemiol
Pays: England
ID NLM: 7802871

Informations de publication

Date de publication:
17 05 2021
Historique:
received: 09 09 2020
accepted: 21 01 2021
pubmed: 23 2 2021
medline: 21 5 2021
entrez: 22 2 2021
Statut: ppublish

Résumé

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. 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. 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. 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.

Sections du résumé

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.

Identifiants

pubmed: 33615345
pii: 6146069
doi: 10.1093/ije/dyab010
pmc: PMC7928865
doi:

Substances chimiques

Antibodies, Viral 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

410-419

Informations de copyright

© The Author(s) 2021. Published by Oxford University Press on behalf of the International Epidemiological Association.

Références

J Med Virol. 2020 Sep;92(9):1433
pubmed: 32320084
Lancet Infect Dis. 2020 Jul;20(7):774-775
pubmed: 32243815
JAMA. 2020 Jun 16;323(23):2425-2427
pubmed: 32421144
Bull World Health Organ. 2021 Jan 1;99(1):19-33F
pubmed: 33716331
Science. 2020 May 1;368(6490):489-493
pubmed: 32179701
Lancet. 2020 Sep 25;:
pubmed: 32987007
Diagn Microbiol Infect Dis. 2020 Nov;98(3):115128
pubmed: 32777699
J Med Internet Res. 2019 Aug 19;21(8):e14021
pubmed: 31429409
JAMA. 2020 May 12;323(18):1775-1776
pubmed: 32203977
N Engl J Med. 2020 May 21;382(21):2012-2022
pubmed: 32227758
Nat Med. 2020 Apr;26(4):506-510
pubmed: 32284616
Lancet Infect Dis. 2020 Jun;20(6):669-677
pubmed: 32240634
Lancet. 2020 Mar 28;395(10229):1014-1015
pubmed: 32197108
J Am Geriatr Soc. 2020 Aug;68(8):1653-1656
pubmed: 32484912
Ann Epidemiol. 2020 Aug;48:23-29.e4
pubmed: 32648546

Auteurs

Eran Bendavid (E)

Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.

Bianca Mulaney (B)

Stanford University School of Medicine, Stanford, CA, USA.

Neeraj Sood (N)

Sol Price School of Public Policy, University of Southern California, Los Angeles, CA, USA.

Soleil Shah (S)

Stanford University School of Medicine, Stanford, CA, USA.

Rebecca Bromley-Dulfano (R)

Stanford University School of Medicine, Stanford, CA, USA.

Cara Lai (C)

Stanford University School of Medicine, Stanford, CA, USA.

Zoe Weissberg (Z)

Stanford University School of Medicine, Stanford, CA, USA.

Rodrigo Saavedra-Walker (R)

Health Education is Power, Inc., Palo Alto, CA, USA.

Jim Tedrow (J)

The Compliance Resource Group, Inc., Oklahoma City, OK, USA.

Andrew Bogan (A)

Bogan Associates, LLC, Palo Alto, CA, USA.

Thomas Kupiec (T)

ARL BioPharma, Inc., Oklahoma City, OK, USA.

Daniel Eichner (D)

Sports Medicine Research and Testing Laboratory, Salt Lake City, UT, USA.

Ribhav Gupta (R)

Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA.

John P A Ioannidis (JPA)

Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA.

Jay Bhattacharya (J)

Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH