Interplay between evolutionary and epidemic time scales challenges the outcome of control policies
The study models epidemics where pathogen infectivity evolves over time, linking evolutionary processes with disease spread. This coupling causes super-exponential early growth and abrupt epidemic transitions. When control policies are applied, these evolutionary effects lead to counterintuitive results, such as nonmonotonic epidemic peaks and an asymmetry between different types of interventions.