COVID-19-study
- 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.
Requirements
use pip install -r requirements.txt to install the project dependencies.
Examples
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
Graphs
- Arabic labeled curves: Tunisia
- English labeled curves: Germany
Sources and References
- 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