Data transformation in epidemiology refers to the process of converting raw data into a more suitable format for analysis and interpretation. This process is essential for making sense of complex and often incomplete data collected from various sources. In the context of epidemiology, data transformation techniques are used to clean, normalize, and aggregate data to derive meaningful insights that can inform public health interventions and policies.
