Epidemic Modeling

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

⚙️ Graphical User Interface with sliders and buttons. ⚙️

👁️ Visual and graphical interpretation of results from the simulation 👁️

🔬 Randomized simulation 🔬

🧫 Inspired by SEIDR Model 🧫

Features

Every parameters of the simulation is editable through an interactive GUI 🖥
Humans are travelling randomly but logically and are represented by dots 👦
Humans can wear a mask and mask are 80% effective 🧢
Humans wearing a mask are represented by a "+" and do not easily infect as well as being harder to infect ⛑️
The simulation is almost fully randomized but keeps logic with given values 🎲
You can adjust the speed of the simulation with the slider 🏃
You can tweak some specific parameters of the simulation 🧰
At the end of the simulation, you can see the evolution of the population through time 📊
... and many more! 🎯

Demo

One wave of the epidemic was simulated

3hm49ZR.mp4

Three waves of the epidemic were simulated

HHOF2NKU9f.mp4

Masked dots example

7yZKhat.mp4

Support 👨‍💻

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 🏃

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

Authors

Marc Pinet - Initial work - marcpinet

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.

marcpinet / epidemic-modeling Goto Github PK