What Are Some Methods to Validate Model Assumptions?
Several techniques can be employed to validate the assumptions of epidemiological models:
1. Empirical Data Comparison: Comparing model predictions with real-world data can provide insights into the validity of the assumptions.
2. Sensitivity Analysis: This involves altering the assumptions and examining how changes affect the model outcomes. Sensitivity analysis helps in identifying which assumptions are most critical to the model's accuracy.
3. Incorporating Heterogeneity: Advanced models can incorporate heterogeneity in mixing patterns, demographic changes, and variable infectious periods to provide more realistic predictions.
4. Expert Review and Peer Feedback: Collaborating with other experts and seeking peer review can help identify and rectify unrealistic assumptions.
