Using iFlow to Model Infectious Epidemics
Compartmental models like SIR, SIS, SEIR, and SEIS — built as coupled flows in iFlow so you can see, tune, and play with the dynamics of disease spread.
The SIR model is a compartmental model in epidemiology that predicts the number of people infected with a contagious disease in a closed population over time. Such a model involves three coupled equations of the susceptible population S, the infected population I, and the recovered population R. One of the simplest SIR models is the Kermack-McKendrick model proposed in 1927. There are also many other variations of the SIR model, as shown on this page.
