What are the Applications of Synthetic Data in Epidemiology?
Synthetic data is used in various applications within Epidemiology, including:
Epidemiological Modeling – Simulating the spread of diseases to predict future outbreaks and evaluate intervention strategies. Training AI Models – Providing sufficient data to train machine learning models for disease detection and prediction. Data Sharing – Facilitating data sharing between institutions without compromising privacy. Policy Analysis – Evaluating the potential impact of public health policies using simulated data.
