COVID-19 antibody seroprevalence in Santa Clara County, California

被引:129
作者
Bendavid, Eran [1 ]
Mulaney, Bianca [2 ]
Sood, Neeraj [3 ]
Shah, Soleil [2 ]
Bromley-Dulfano, Rebecca [2 ]
Lai, Cara [2 ]
Weissberg, Zoe [2 ]
Saavedra-Walker, Rodrigo [4 ]
Tedrow, Jim [5 ]
Bogan, Andrew [6 ]
Kupiec, Thomas [7 ]
Eichner, Daniel [8 ]
Gupta, Ribhav [9 ]
Ioannidis, John P. A. [1 ,9 ]
Bhattacharya, Jay [1 ]
机构
[1] Stanford Univ, Dept Med, Sch Med, Stanford, CA 94305 USA
[2] Stanford Univ, Sch Med, Stanford, CA 94305 USA
[3] Univ Southern Calif, Sol Price Sch Publ Policy, Los Angeles, CA 90007 USA
[4] Hlth Educ Power Inc, Palo Alto, CA USA
[5] Compliance Resource Grp Inc, Oklahoma City, OK USA
[6] Bogan Associates LLC, Palo Alto, CA USA
[7] ARL BioPharma Inc, Oklahoma City, OK USA
[8] Sports Med Res & Testing Lab, Salt Lake City, UT USA
[9] Stanford Univ, Dept Epidemiol & Populat Hlth, Sch Med, Stanford, CA USA
关键词
COVID; 19; seroprevalence; infection fatality rate;
D O I
10.1093/ije/dyab010
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
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 similar to 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.
引用
收藏
页码:410 / 419
页数:10
相关论文
共 27 条
  • [1] Characteristics of US Nursing Homes withCOVID-19 Cases
    Abrams, Hannah R.
    Loomer, Lacey
    Gandhi, Ashvin
    Grabowski, David C.
    [J]. JOURNAL OF THE AMERICAN GERIATRICS SOCIETY, 2020, 68 (08) : 1653 - 1656
  • [2] Prevalence of SARS-CoV-2 antibodies in a large nationwide sample of patients on dialysis in the USA: a cross-sectional study
    Anand, Shuchi
    Montez-Rath, Maria
    Han, Jialin
    Bozeman, Julie
    Kerschmann, Russell
    Beyer, Paul
    Parsonnet, Julie
    Chertow, Glenn M.
    [J]. LANCET, 2020, 396 (10259) : 1335 - 1344
  • [3] [Anonymous], 12 IMP COLL LOND
  • [4] [Anonymous], 2020, UN News
  • [5] [Anonymous], NOVEL CORONAVIRUS PR
  • [6] [Anonymous], IHME J COVID 19 PROJ
  • [7] Covid-19 in Critically Ill Patients in the Seattle Region - Case Series
    Bhatraju, Pavan K.
    Ghassemieh, Bijan J.
    Nichols, Michelle
    Kim, Richard
    Jerome, Keith R.
    Nalla, Arun K.
    Greninger, Alexander L.
    Pipavath, Sudhakar
    Wurfel, Mark M.
    Evans, Laura
    Kritek, Patricia A.
    West, T. Eoin
    Luks, Andrew
    Gerbino, Anthony
    Dale, Chris R.
    Goldman, Jason D.
    O'Mahony, Shane
    Mikacenic, Carmen
    [J]. NEW ENGLAND JOURNAL OF MEDICINE, 2020, 382 (21) : 2012 - 2022
  • [8] GENERALIZED RAKING PROCEDURES IN SURVEY SAMPLING
    DEVILLE, JC
    SARNDAL, CE
    SAUTORY, O
    [J]. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1993, 88 (423) : 1013 - 1020
  • [9] 1977 RIETZ LECTURE - BOOTSTRAP METHODS - ANOTHER LOOK AT THE JACKKNIFE
    EFRON, B
    [J]. ANNALS OF STATISTICS, 1979, 7 (01) : 1 - 26
  • [10] Girvan G, 2020, 42 COVID 19 DEATHS N