A toy example of why test sensitivity and specificity matter in serosurveys.
— Natalie E. Dean, PhD (@nataliexdean) April 21, 2020
Imagine population seroprevalence is 4%. Test sensitivity is 80%. Specificity is 99.9%. For a random sample of 3000 participants, you would expect ~100 positives, 3% of which will be false positives. pic.twitter.com/TMyCZGNXkq
EPI 101 thread on sensitivity and specificity, plus its application to #COVID19 screening. For those who want a refresher!
— Natalie E. Dean, PhD (@nataliexdean) March 13, 2020
The way we summarize the accuracy of a test (such as RT-PCR on a #coronavirus throat swab) is with two quantities: sensitivity and specificity. 1/12