Demystifying modelling of epidemics like COVID-19, demonstrated with Jupyter notebooks
COVID-19 has triggered creation of this repository. This repository would contain notebooks that analyze epidemic from different viewpoints. This is open for contribution and to build upon ideas.
Warning : I'm not an epidemiologist, infectious disease expert and would have made errors. Please do let me know of errors if you find. These are right now of "play" quality. Also, i have heavily borrowed ideas.
These terms have now gotten into our vocabulary,
- Flatten the Curve
- Lockdown
- Social Distancing
- Quarantine (self, medical, apartment)
- Aggressive Test strategy
For Math lovers,
- R0
- BRN
- SEIR
- Exponential
These notebooks will help you understand the impact better.
Contents
Jupyter notebooks are self-documenting.
Basic Reproduction Number
SEIR model
If you can't see images, use this pdf
Visualizing and analyzing current situation
If you can't see images, use this pdf
What's coming?
Compute probability of having disease based on interview
Compute probability of responding to treatment based on interview
Links
- Why outbreaks like coronavirus spread exponentially, and how to 'flatten the curve'
- Outbreak - play simulation
- Fighting COVID-19 with Epidemiology: A Johns Hopkins Teach-Out, a free two-week learning event, beginning Tuesday, March 31
- Epidemiology in Public Health Practice Specialization, an on-demand five-course sequence that goes into even greater depth about the field and its tools, available now
About
Email me: bala.dutt@gmail.com
Thanks to wonderful teachers of Data Science and Engineering, Computer Science Department, BITS Pilani, especially,
- Prof Shan - S. Balasubramaniam
- Prof Anita - Anita Ramachandran