For sure, this assumes that false positive rate = false negative rate = 1%, but it suffices to illustrate how a highly accurate test can produce misleading results.
A solution would be repeated retesting, as the 1st, 2nd, 3rd, and 4th consecutive positive test results would lead to 0.01%, 1%, 50%, and 99% chances. (Each additional positive test reduces the false positives by 100-fold, whereas the ill patients are very likely to get continually positive results.)
A solution would be repeated retesting, as the 1st, 2nd, 3rd, and 4th consecutive positive test results would lead to 0.01%, 1%, 50%, and 99% chances. (Each additional positive test reduces the false positives by 100-fold, whereas the ill patients are very likely to get continually positive results.)