The importance of synthetic data in epidemiology cannot be overstated. It addresses several critical issues:
Privacy Concerns: Real-world health data often includes sensitive information. Synthetic data allows researchers to perform analyses without risking patient confidentiality. Data Scarcity: In many cases, real-world data may be limited or unavailable. Synthetic data can fill these gaps, enabling robust analyses. Controlled Experiments: Researchers can create diverse scenarios to test hypotheses, which might be difficult or unethical to explore in the real world.
