Computational Model Library

Introductory SIR Model (version 1.0.0)

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

Release Notes

This is the base model

Download Version 1.0.0
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

Discussion

This website uses cookies and Google Analytics to help us track user engagement and improve our site. If you'd like to know more information about what data we collect and why, please see our data privacy policy. If you continue to use this site, you consent to our use of cookies.