A false negative occurs when a test or study incorrectly indicates that a condition or attribute is not present. In epidemiology, this can lead to underreporting of disease cases, which in turn affects the accuracy of data on disease prevalence and incidence. For example, during a disease outbreak, false negatives can result in infected individuals being left untreated, further spreading the disease.
