Data interpretation in epidemiology is essential for transforming raw data into meaningful information. This process helps in identifying patterns and trends in disease occurrence, determining risk factors, and evaluating the effectiveness of public health interventions. It enables epidemiologists to make evidence-based recommendations and policies.
