Despite its potential, predictive analytics in epidemiology faces several challenges:
- Data Quality: Incomplete or inaccurate data can lead to flawed predictions. - Privacy Concerns: Handling sensitive health data requires stringent privacy measures. - Model Interpretability: Complex models can be difficult to interpret, making it hard to understand how predictions are made. - Ethical Issues: Ensuring that predictive analytics is used ethically and does not exacerbate health disparities.
