Pandemic simulation

Running the code

Install requirements

pip install -r requirements.txt

Run the application

streamlit run main.py

This is a simple simulation of a pandemic, with a few assumptions:

Population of given size starts with the specified amount of sick people
Every single day all the people meet each other
For every contact with a healthy person, a sick person has a probability of spreading the disease specified by the user
After that, every sick person has a chance of recovery specified by the user
This cycle continues until there is no sick person left
People who recovered from the disease cannot become sick again
The disease is not lethal and everyone infected survives until the end of the simulation
The simulation may either end when every single person gets infected and everyone recovers, or the disease spreads too slowly and initial population of sick people recovers before spreading the disease further
For the same input parameters, the simulation may have a different outcomes

This repository was created during data science course hosted by Mateusz Dorobek