From: Sample size determination for point-of-care COVID-19 diagnostic tests: a Bayesian approach
 |  | Number with COVID in lab study, \(n_c\) | ||||
---|---|---|---|---|---|---|
COVID prevalence | Target assurance | 10 | 20 | 30 | 40 | 50 |
0.05 | 0.8 | (783, 1630) | (66, 1393) | (10, 1080) | (10, 745) | (10, 403) |
 | 0.9 | (1142, 2233) | (196, 1901) | (10, 1476) | (10, 1022) | (10, 558) |
0.1 | 0.8 | (317, 605) | (22, 511) | (10, 396) | (10, 275) | (10, 152) |
 | 0.9 | (416, 708) | (90, 596) | (10, 463) | (10, 324) | (10, 182) |
0.2 | 0.8 | (152, 278) | (10, 232) | (10, 180) | (10, 125) | (10, 70) |
 | 0.9 | (194, 307) | (44, 256) | (10, 200) | (10, 141) | (10, 80) |
0.3 | 0.8 | (101, 182) | (10, 151) | (10, 117) | (10, 82) | (10, 45) |
 | 0.9 | (128, 198) | (29, 165) | (10, 128) | (10, 90) | (10, 51) |