https://github.com/gmork2/covid-19

A mathematical analysis of the infection growth
https://github.com/gmork2/covid-19

coronavirus covid-19 jupyter-notebook numpy pandas python scikit-learn

Last synced: 5 days ago
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A mathematical analysis of the infection growth

• Host: GitHub
• URL: https://github.com/gmork2/covid-19
• Owner: gmork2
• License: gpl-3.0
• Created: 2020-03-17T19:17:04.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2024-09-24T15:58:06.000Z (4 months ago)
• Last Synced: 2024-11-10T11:04:47.332Z (2 months ago)
• Topics: coronavirus, covid-19, jupyter-notebook, numpy, pandas, python, scikit-learn
• Language: Jupyter Notebook
• Homepage:
• Size: 205 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# A logistic and exponential model comparison applied to Covid-19

This is simple mathematical analysis of the infection growth to predict the

evolution of the coronavirus. The data collection used for this purpose is publicly

available as open data on github: 

- https://github.com/CSSEGISandData/COVID-19

Read the Johns Hopkins CSSE data repository terms of use for more information.

![](plot.png)

*Spain, 03-17-2020*