Despite its importance, prediction in epidemiology faces several challenges:
- Data Quality: Inaccurate or incomplete data can lead to poor predictions. - Model Complexity: Balancing model complexity with interpretability is often difficult. - Changing Dynamics: Diseases can evolve, and human behaviors can change, impacting prediction accuracy. - Ethical Considerations: Ensuring data privacy and addressing potential biases in models are critical.
