This model is a representation of the spread of an epidemic disease from a systems perspective. Although the more intuitive way to model a disease is by modeling each individual as they move and interact, in practice it is impossible to model millions of people. Instead, researchers can model the interaction of groups of infected, susceptible, and recovered people.
There are three groups in this model – infected, susceptible, and recovered. Individuals transfer between these three groups according to the birth, infection, recovery, and death functions. Each of these functions has a certain probability; that is, some proportion of the first population transforms into the second.
To use this model, you can first click on any of the functions to set the parameters therein. When the parameters are to your liking, click on the Run button to run a simulation and view the results.
Starting from the initial populations, a certain percentage of people will become sick, recover, and/or die. Over time, this proportion should stabilize at a certain point depending on the parameters.