Vizualization model for COVID-19 spreading with diffrent number of creatures and isolation options. From N creatures 1 creature is sick at 1st life cycle and keep spreading throw life cycles. Each I cell has 8 neighbours who might be sick and infect the I cell in probability P. No recovery options.
- N: Number of creatures
- K: 0-8 isolation parameter (exmp: k=3 only 5 neighbours are considered in infection)
- Life Cycle of isolation: at what life cycle does isolation begin
- White cell- Healthy
- Blue cell- Empty
- Red Cell-Sick
After the model view, a graph will appear according to sick count:
- tkintr
- matplotlib
- numpy