The discrete-time Kermack–McKendrick model: A versatile and computationally attractive framework for modeling epidemics
The discrete-time Kermack–McKendrick model: A versatile and computationally attractive framework for modeling epidemics
The COVID-19 pandemic has led to numerous mathematical models for the spread of infection, the majority of which are large compartmental models that implicitly constrain the generation-time distribution. On the other hand, the continuous-time Kermack-McKendrick epidemic model of 1927 (KM27) allows an arbitrary generation-time distribution, but it suffers from the …