I ran the code with , and varying. The assignment says to expect different behavior depending on whether or not , where .
For these values of and , this an epidemic when . Therefore I tried three values of : , , and . For the first two values, I saw growth, with a larger epidemic in the first case .
Here you were asked to use phase-plane drawing software to examine solutions graphically. It was pointed out that when . From the following three images, we see that when , which is when we see epidemics.
Phase plane with ,
Phase plane with ,
In the third case, , so the infection number is decreasing at .
Phase plane with
There is also a question asked βCan this model support a sustained epidemic.β The answer is that it cannot. In a sustained epidemic, the infection rate would have to reach a nonzero steady state but the phase plane shows that for all solutions, so it canβt sustain an epidemic. To support a sustained epidemic, a model must refresh its supply of susceptible individuals. Fortunately for the germs, we do that anyway by having babies! A more complete models will include births.