Epidemic Modeling for Everyone

Repository to accompany the blog series: Epidemic Modeling

These blog posts were recently featured in the Data Exchange Podcast by Ben Lorica in two episodes:

• Computational Models and Simulations of Epidemic Infectious Diseases

• Assessing Models and Simulations of Epidemic Infectious Diseases

Background Information

1. CoVID-19: Everything you need to know

2. CoVID-19: The first truly global event

Visualization

1. Epidemiology001.ipynb - Visualizing the spread of CoVID-19

2. Epidemiology002.ipynb - Visualizing individual CoVID-19 patient data

Compartmental Models

1. Epidemiology101.ipynb - Epidemic Modeling 101: Or why your CoVID19 exponential fits are wrong

2. Epidemiology102.ipynb - Epidemic Modeling 102: All CoVID-19 models are wrong, but some are useful

3. Epidemiology103.ipynb - Epidemic Modeling 103: Adding confidence intervals and stochastic effects to your CoVID-19 Models

4. Epidemiology104.ipynb - Epidemic Modeling 104: Impact of Seasonal effects on CoVID-19

Network models

1. Epidemiology 201.ipynb - Epidemiology 201: Network Structure, Super-spreaders and Contact Tracing

Resources

• Jupyter notebook includes all the code used to generate the figures in the blog posts. Run the code online using

• EpiModel.py - Python module encapsulates all the code necessary to numerically implement arbitrary compartmental epidemic models

• NetworkEpiModel.py - Python module encapsulates all the code necessary to numerically implement arbitrary epidemic models on networks

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