In the field of epidemiology, false positives can skew the understanding of disease prevalence, incidence, and risk factors. They can lead to overestimations of disease outbreaks, causing undue panic and potentially misallocating resources. Therefore, it is crucial to reduce the rate of false positives to ensure accurate data and effective public health interventions.
