The novel coronavirus was identified in Wuhan, Hubei, China and has been spreading across the world disrupting every aspect of day-to-day life and with a large human cost.
To understand the spread and make calculated predictions, I have been exploring different models, data sources and algorithms. Recently, I used sparse identification for nonlinear dynamical systems (SINDy) to make some predictions for the next 20 days for a few countries from 20th March 2020, based on the Hubei data set from Johns Hopkins till 20th March 2020. However, real data will be based on many factors including the availability of testing, self-quarantine/ isolation, etc.
The following are the Hubei data and calculated data:
Some other dashboards for covid-19: