Marc Pinet

Table of Contents




Epidemic Modeling

๐Ÿงฌ Tweak transmission rate, recovery rate, death rate, number of people, and many more! ๐Ÿงฌ

โš™๏ธ Graphical User Interface with sliders and buttons. โš™๏ธ

๐Ÿ‘๏ธ Visual and graphical interpretation of results from the simulation ๐Ÿ‘๏ธ

๐Ÿ”ฌ Randomized simulation ๐Ÿ”ฌ

๐Ÿงซ Inspired by SEIDR Model ๐Ÿงซ

Features

  • Every parameters of the simulation is editable through an interactive GUI ๐Ÿ–ฅ
  • Humans are travelling randomly but logically and are represented by dots ๐Ÿ‘ฆ
  • Humans can wear a mask and mask are 80% effective ๐Ÿงข
  • Humans wearing a mask are represented by a "+" and do not easily infect as well as being harder to infect โ›‘๏ธ
  • The simulation is almost fully randomized but keeps logic with given values ๐ŸŽฒ
  • You can adjust the speed of the simulation with the slider ๐Ÿƒ
  • You can tweak some specific parameters of the simulation ๐Ÿงฐ
  • At the end of the simulation, you can see the evolution of the population through time ๐Ÿ“Š
  • ... and many more! ๐ŸŽฏ

Demo

One wave of the epidemic was simulated

Three waves of the epidemic were simulated

Masked dots example

Support ๐Ÿ‘จโ€๐Ÿ’ป

Any problems with running the script and any questions please create a new issue here.

You can also contribute to this project by requesting new features here.

I never ask for money for my open source projects. However, you can still tip me if you want. I am a Brave Verified Creator!

Prerequisites

  • Python 3.7.0+

Get a copy of the Project. Assuming you have git installed, open your Terminal and enter:

git clone 'https://github.com/marcpinet/epidemic-modeling.git'

To install all needed requirements run the following command in the project directory:

pip install -r requirements.txt

Running ๐Ÿƒ

After that you can proceed to start the program by running main.py.

Authors

License

This project is licensed under the MIT License - see the LICENSE.md file for details

Acknowledgments

  • Hat tip to anyone whose code was used.

Contributions

Special thanks to loicpantano for some ideas and marcusaasjensen for its participation in the project (he made a its own simulation in C

of an airport with graphs, see marcus' simulation).

We were in the same team for this project and we worked together on different programs.