Sensitivity = true positive rate. True positives (TP) / all positives (P) . If you are infected, how likely is that the test returns a positive.
Specificity = true negative rate, which is true negatives (TN) / all negatives (N). If you aren't infected , how likely is it hat the test returns a negative
Basically the antibody test that we will need to realistically start to move forward is there and it’s 99.9% accurate. Unlike the ones they have been using with are as good as my free throw percentage. (5’8” with depth perception problems)
Accuracy is actually (TP + TN) / (T + N). In this case, somwhere between 99.9% and 100%, but too lazy to actually do the math. Accuracy isn't used much, as one number cannot capture how "good" a test is at doing both ruling out false positives and false negatives. Accuracy is actually defined as true positives + true negatives / A test can be highly specific but not highly sensitive, or highly sensitive but not highly specific, but still have high accuracy.