What is the Impact of Disease Prevalence on Positive Test Results?
Disease prevalence significantly affects the interpretation of positive test results. In populations with high prevalence, a positive test result is more likely to be a true positive. Conversely, in populations with low prevalence, the likelihood of a false positive increases. Epidemiologists use this information to tailor screening programs and interpret test results appropriately.
