Corona Virus (COVID-19) spreading simulation in a close community with mathematical scaling and probability scaled according to the spread of infection, recovery and deaths.
Simulations are available on youtube and Linkedin in form of a video.
Youtube : https://youtu.be/3WJU6aZyeLg
Simulated visualisations showing the spreading of COVID-19 under different scenarios based on Random Walks. There are 6 scenarios :
- Spreading with 100% movement and no recovery.
- Spreading with 100% movement and recovery.
- Spreading with 100% movement, recovery and deaths at 11% rate.
- Spreading with 30% movement and no recovery.
- Spreading with 30% movement and recovery.
- Spreading with 30% movement, recovery and deaths at 11% rate.
What we need to observe is that what is the outcome after same period of time. At 100% movement all 11% die which are randomly chosen among all the particle, whereas at 30% movement only 4 particles die.
Visulaizations are made using Python3 and libraries like matplotlib, numpy, animation, pyplot, etc.
Author : Achal Dixit | Jarach_2.0.9