In Epidemiology, underfitting can lead to inaccurate predictions and poor understanding of disease dynamics. For example, a model that underfits may fail to identify key risk factors for disease transmission, leading to ineffective public health interventions. This can have serious implications, especially in the context of emerging infectious diseases where timely and accurate predictions are crucial.
