Non-linearity is important because it reflects the real-world complexities of disease transmission, progression, and outcomes. For instance, the impact of a public health intervention like vaccination can exhibit diminishing returns, where initial doses have a significant effect, but additional doses yield progressively smaller benefits. Non-linear models can better capture such dynamics, leading to more accurate predictions and informed decision-making.
