COVID-19 antibody seroprevalence in Santa Clara County, California

被引:134
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
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