There are several key components to consider when assessing an epidemiological model:
Validation: Comparing model predictions with independent data to ensure accuracy. Calibration: Adjusting model parameters to improve the fit to observed data. Sensitivity Analysis: Examining how changes in model parameters affect outcomes. Uncertainty Analysis: Quantifying the uncertainty in model predictions. Predictive Performance: Evaluating the model's ability to predict future events accurately.
