Does this account for the rate of false positives, compounded by the low base rate of disease incidence? When designing such binary estimators, we have a trade

Does this account for the rate of false positives, compounded by the low base rate of disease incidence? When designing such binary estimators, we have a trade off between precision & recall. If the virus affects 1% of the population, and we have a 5% rate of false positives, and close to 100% recall, then ~85% (5:1 odds) of tested positives would be spurious.