How Do Nonlinear Interactions Affect Epidemiological Models?
Nonlinear interactions mean that changes in one factor can lead to disproportionate changes in outcomes. For instance, a small increase in vaccination coverage might lead to a significant decrease in infection rates due to herd immunity. Conversely, a slight drop in vaccination rates can cause outbreaks due to the same nonlinear dynamics.