13SWEEPING PARAMETERS
In the previous chapter, we extended the Kermack-McKendrick (KM) model to include immunization and used it to demonstrate herd immunity. But we assumed that the parameters of the model, contact rate and recovery rate, were known. In this chapter, we’ll explore the behavior of the model as we vary these parameters.
In the next chapter, we’ll use analysis to understand these relationships better, and propose a method for using data to estimate parameters.
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 ...
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