This is a basic Susceptible, Infected, Recovered (SIR) model. This model explores the spread of disease in a space. In particular, it explores how changing assumptions about the number of susceptible people, starting number of infected people, as well as the disease’s infection probability, and average duration of infection. The model shows that the interactions of agents can drastically affect the results of the model.
We used it in our course on COVID-19: https://www.csats.psu.edu/science-of-covid19
This is the base model
|Version||Submitter||First published||Last modified||Status|
|1.0.0||Kit Martin||Tue Sep 28 15:20:46 2021||Tue Sep 28 15:20:46 2021||Published|