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https://github.com/DataForScience/Epidemiology101

Epidemic Modeling for Everyone
https://github.com/DataForScience/Epidemiology101

blog covid-19 epidemiology medium modeling python

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Epidemic Modeling for Everyone

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[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/DataForScience/Epidemiology101/master)



# Epidemic Modeling for Everyone



![Multipopulation model](https://raw.githubusercontent.com/DataForScience/Epidemiology101/master/SEIIRD_model_season.png)



Repository to accompany the blog series: __Epidemic Modeling__



These blog posts were recently featured in the [Data Exchange Podcast](https://thedataexchange.media/) by [Ben Lorica](https://twitter.com/bigdata) in two episodes: 



- [Computational Models and Simulations of Epidemic Infectious Diseases](https://thedataexchange.media/computational-models-and-simulations-of-epidemic-infectious-diseases/)

	

- [Assessing Models and Simulations of Epidemic Infectious Diseases](https://thedataexchange.media/assessing-models-and-simulations-of-epidemic-infectious-diseases/)



## Background Information



1. [CoVID-19: Everything you need to know](https://data4sci.substack.com/p/covid-19-everything-you-need-to-know)



2. [CoVID-19: The first truly global event](https://data4sci.substack.com/p/covid-19-the-first-truly-global-event)



## Visualization



1. [Epidemiology001.ipynb](https://github.com/DataForScience/Epidemiology101/blob/master/Epidemiology001.ipynb) - [Visualizing the spread of CoVID-19](https://data4sci.substack.com/p/visualizing-the-spread-of-covid-19) 



2. [Epidemiology002.ipynb](https://github.com/DataForScience/Epidemiology101/blob/master/Epidemiology002.ipynb) - [Visualizing individual CoVID-19 patient data](https://data4sci.substack.com/p/covid-19-visualizing-individual-patient) 



3. [Epidemiology003.ipynb](https://github.com/DataForScience/Epidemiology101/blob/master/Epidemiology003.ipynb) - [CoVID-19: Forecasting the death toll](https://data4sci.substack.com/p/covid-19-forecasting-the-death-toll) 



## Compartmental Models



1. [Epidemiology101.ipynb](https://github.com/DataForScience/Epidemiology101/blob/master/Epidemiology101.ipynb) - [Epidemic Modeling 101: Or why your CoVID19 exponential fits are wrong](https://data4sci.substack.com/p/epidemic-modeling-101-or-why-your)



2. [Epidemiology102.ipynb](https://github.com/DataForScience/Epidemiology101/blob/master/Epidemiology102.ipynb) - [Epidemic Modeling 102: All CoVID-19 models are wrong, but some are useful](https://data4sci.substack.com/p/all-covid-19-models-are-wrong-but) 



3. [Epidemiology103.ipynb](https://github.com/DataForScience/Epidemiology101/blob/master/Epidemiology103.ipynb) - [Epidemic Modeling 103: Adding confidence intervals and stochastic effects to your CoVID-19 Models](https://data4sci.substack.com/p/adding-confidence-intervals-and-stochastic) 



4. [Epidemiology104.ipynb](https://github.com/DataForScience/Epidemiology101/blob/master/Epidemiology104.ipynb) - [Epidemic Modeling 104: Impact of Seasonal effects on CoVID-19](https://data4sci.substack.com/p/impact-of-seasonal-effects-on-covid)



5. [Epidemiology105.ipynb](https://github.com/DataForScience/Epidemiology101/blob/master/Epidemiology105.ipynb) - [Epidemic Modeling 105: Competing CoVID-19 Strains](https://data4sci.substack.com/p/competing-covid-19-strains) 



# Network models



1. [Epidemiology 201.ipynb](https://github.com/DataForScience/Epidemiology101/blob/master/Epidemiology201.ipynb) - [Epidemiology 201: Network Structure, Super-spreaders and Contact Tracing](https://data4sci.substack.com/p/network-structure-super-spreaders)



2. [Epidemiology 202.ipynb](https://github.com/DataForScience/Epidemiology101/blob/master/Epidemiology202.ipynb) - [Epidemiology 202: Network Models, the effect of degree correlations](https://data4sci.substack.com/p/network-models)



# Advanced Models



1. [Epidemiology 301.ipynb](https://github.com/DataForScience/Epidemiology101/blob/master/Epidemiology301.ipynb) - [Epidemiology 301: How to model the effects of vaccination](https://data4sci.substack.com/p/how-to-model-the-effects-of-vaccination)



2. [Epidemiology 302.ipynb](https://github.com/DataForScience/Epidemiology101/blob/master/Epidemiology302.ipynb) - [Epidemiology 302: The Impact of Age Structure on Epidemic Spreading

](https://data4sci.substack.com/p/the-impact-of-age-structure-on-epidemic)



3. [Epidemiology 303.ipynb](https://github.com/DataForScience/Epidemiology101/blob/master/Epidemiology303.ipynb) - [Epidemiology 303: Metapopulation Models](https://data4sci.substack.com/p/meta-population-models)



# Resources



- Jupyter notebook includes all the code used to generate the figures in the blog posts. Run the code online using  [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/DataForScience/Epidemiology101/master)



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