Validation of infectious disease models is crucial for ensuring their reliability. This can be done by: 1. Comparing Model Predictions with Observed Data: Ensuring that the model accurately reflects real-world outbreaks. 2. Sensitivity Analysis: Testing how changes in model parameters affect outcomes to understand the robustness of the model. 3. Peer Review: Subjecting the model to scrutiny by other experts in the field.
