Traditional disease modeling relies on statistical methods and classical computational techniques, which can be limited by the scale and complexity of the data. QNNs can enhance disease modeling by providing more accurate and faster simulations. This is particularly useful for modeling pandemics and infectious disease outbreaks, where timely and precise predictions are crucial for public health interventions.
