Computational Model Library

Introductory SIR Model (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

Screen Shot 2021-09-28 at 2.57.59 PM.png

Release Notes

This is the base model

Associated Publications

https://www.csats.psu.edu/science-of-covid19

Introductory SIR Model 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

Version Submitter First published Last modified Status
1.0.0 Kit Martin Tue Sep 28 15:20:46 2021 Tue Sep 28 19:00:47 2021 Published

Discussion

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