Estimating COVID-19 Antibody Seroprevalence in Santa Clara County, California. A re-analysis of Bendavid et al.

Author:

Bennett Stephen T.,Steyvers Mark

Abstract

AbstractA recent study by Bendavid et al. claimed that the rate of infection of COVID-19 in Santa Clara county was between 2.49% and 4.16%, 50-85 times higher than the number of officially confirmed cases. The statistical methodology used in that study overestimates of rate of infection given the available data. We jointly estimate the sensitivity and specificity of the test kit along with rate of infection with a simple Bayesian model, arriving at lower estimates of the rate of COVID-19 in Santa Clara county. Re-analyzing their data, we find that the rate of infection was likely between 0.27% and 3.21%.

Publisher

Cold Spring Harbor Laboratory

Reference4 articles.

1. E. Bendavid , B. Mulaney , N. Sood , S. Shah , E. Ling , R. Bromley-Dulfano , C. Lai , Z. Weissberg , R. Saavedra , J. Tedrow , D. Tversky , A. Bogan , T. Kupiec , D. Eichner , R. Gupta , J. Ioannidis , and J. Bhattacharya , “Covid-19 antibody seroprevalence in santa clara county, california,” medRxiv, 2020.

2. C. Farr , “Antibody study suggests covid-19 could be far more prevalent in the bay area than official numbers suggest,” 2020.

3. K. Selig , “Santa clara county covid-19 cases could be 50 to 85 times higher than reported, stanford study finds,” 2020.

4. L. A. Times , “Stanford antibody study estimates covid-19 infected 50 to 85 times more people than testing identified in santa clara county,” 2020.

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