• A study of COVID-19 in Tunisia and Germany (scripts can be used for other countries.)
• The project a couple of scripts that helps scrape the COVID-19 cases, provided by Johns Hopkins University (JHU CSSE).
• The scraped data can be manipulated and interesting visualization can be drawn describing the current state of the spread.
• The Data is fitted to a Logarithmic curve and a SIR model.

use pip install -r requirements.txt to install the project dependencies.

A couple of examples are also available under the form of Jupyter-notebooks that provide a couple of visualizations of the situation:

• In the world
• In Tunisia
• In Germany

• Arabic labeled curves: Tunisia
• English labeled curves: Germany

• github/CSSEGISandData/COVID-19
• Estimating The Infected Population From Deaths
• COVID-19 Growth By State (US)
• COVID-19 Growth Rate Prediction
• github/covid19-dashboard
• Estimating actual COVID 19 cases (novel corona virus infections) in an area based on deaths
• Exponential growth and epidemics
• فيروس كورونا: لماذا يجب عليك التصرف الآن؟
• The Mathematics Behind the Ebola Epidemic
• The SIR epidemic model