A test with low sensitivity underestimates the disease’s true prevalence (lots of sick (infected) animals are missed by the test). On the contrary, a test with low specificity overestimates the disease’s true prevalence (lots of healthy (non-infected) animals test positive).

When the test sensitivity and specificity are known, we can calculate these inherent error of the test, and give an estimation of the true prevalence using the following calculation: