There are several reasons why synthetic data is valuable in epidemiology:
Privacy Protection: It allows researchers to share and analyze data without compromising patient confidentiality. Data Availability: Synthetic data can be generated even when real data is scarce or unavailable. Research Validation: It enables the testing of hypotheses and validation of models without accessing sensitive information. Training and Education: Synthetic data can be used for teaching and training purposes, providing a realistic dataset for learning without privacy concerns.
