High sensitivity is particularly important in public health screening programs where the goal is to identify as many cases as possible in the population. For example, in the case of highly infectious diseases like COVID-19 or tuberculosis, missing a positive case could result in further spread of the disease. In such scenarios, it is more acceptable to have false positives than to miss actual cases.
