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Repository to accompany the blog series:Epidemic Modeling

These blog posts were recently featured in theData Exchange Podcast byBen Lorica in two episodes:

• Computational Models and Simulations of Epidemic Infectious Diseases

• Assessing Models and Simulations of Epidemic Infectious Diseases

1. CoVID-19: Everything you need to know

2. CoVID-19: The first truly global event

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

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

3. Epidemiology003.ipynb -CoVID-19: Forecasting the death toll

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

5. Epidemiology105.ipynb -Epidemic Modeling 105: Competing CoVID-19 Strains

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

2. Epidemiology 202.ipynb -Epidemiology 202: Network Models, the effect of degree correlations

1. Epidemiology 301.ipynb -Epidemiology 301: How to model the effects of vaccination

2. Epidemiology 302.ipynb -Epidemiology 302: The Impact of Age Structure on Epidemic Spreading

3. Epidemiology 303.ipynb -Epidemiology 303: Metapopulation Models

4. Epidemiology 304.ipynb -Epidemiology 303: Metapopulation Models

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

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