Selected article for: "serological test and true population"
Author: Daniel B Larremore; Bailey K Fosdick; Kate M Bubar; Sam Zhang; Stephen M Kissler; C. Jessica E. Metcalf; Caroline Buckee; Yonatan Grad
Title: Estimating SARS-CoV-2 seroprevalence and epidemiological parameters with uncertainty from serological surveys
  • Document date: 2020_4_20
    • ID: c4cs14ja_108
    Snippet: is the (which was not peer-reviewed) The copyright holder for this preprint Figure S1 : Uncertainty of population seroprevalence estimates as a function of number of samples and true population rate. Uncertainty, represented by the width of 90% credible intervals, is presented as ± seroprevalence percentage points in heatmaps and for selected seroprevalence values, based on a serological tests with (A,D) 93.8% sensitivity and 95.6% specificity, .....
    Document: is the (which was not peer-reviewed) The copyright holder for this preprint Figure S1 : Uncertainty of population seroprevalence estimates as a function of number of samples and true population rate. Uncertainty, represented by the width of 90% credible intervals, is presented as ± seroprevalence percentage points in heatmaps and for selected seroprevalence values, based on a serological tests with (A,D) 93.8% sensitivity and 95.6% specificity, matching the claims of a Cellex test, (B,E) 97.2% sensitivity and 100% specificity, matching the claims of an Aytu IgG test, (C,F) 100% sensitivity and specificity, representing an ideal test. complementing the results for a test with 93% sensitivity and 97.5% specificity shown in the main text (Fig. 2) . See Supplementary Table S1 for details on serological test kits.

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