Repository to accompany the blog series: Epidemic Modeling
These blog posts were recently featured in the Data Exchange Podcast by Ben Lorica in the episode on Computational Models and Simulations of Epidemic Infectious Diseases.
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Epidemic Modeling 101: Or why your CoVID19 exponential fits are wrong Epidemiology101.ipynb
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Epidemic Modeling 102: All CoVID-19 models are wrong, but some are useful Epidemiology102.ipynb
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Epidemic Modeling 103: Adding confidence intervals and stochastic effects to your CoVID-19 Models Epidemiology103.ipynb
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Epidemic Modeling 104: Impact of Seasonal effects on CoVID-19 Epidemiology104.ipynb
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Jupyter notebook includes all the code used to generate the figures in the blog posts. Run the code online using
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EpiModel.py - Python module encapsulates all the code necessary to numerically implement arbitrary compartmental epidemic models
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