Modeling and Simulation in Python

12QUANTIFYING INTERVENTIONS

In the previous chapter, I presented the Kermack-McKendrick (KM) model of infectious disease and used it to model the Freshman Plague at Olin. In this chapter, we’ll consider metrics intended to quantify the effects of the disease and interventions intended to reduce those effects.

We’ll use some of the functions from the previous chapter: make_system, update_func, and the last version of run_simulation, which returns the results in a TimeFrame object.

This chapter is available as a Jupyter notebook where you can read the text, run the code, and work on the exercise. You can access the notebooks at https://allendowney.github.io/ModSimPy ...