Why is Computational Complexity Important in Epidemiology?
The importance of computational complexity in epidemiology cannot be overstated. It affects how epidemiological models are constructed, how quickly they can provide results, and how accurately they can predict disease spread. High computational complexity can lead to delays in decision-making and inaccuracies in public health strategies.
