Why is Model Instability Important in Epidemiology?
In the context of Epidemiology, model instability can greatly affect the reliability and accuracy of disease predictions. This can have severe implications for public health decision-making. For instance, an unstable model may overestimate or underestimate the spread of an infectious disease, leading to either unnecessary panic or inadequate preparation.
