This is a basic Suceptible, 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 suceptible 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 a companion discussion topic for the original entry at https://www.comses.net/codebases/c616b4e0-cbcf-4ce8-a115-9536d169217c/releases/1.0.0/