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. <\/p>\n\n\n\n
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<\/a> till 20th March 2020. However, real data will be based on many factors including the availability of testing, self-quarantine\/ isolation, etc. <\/p>\n\n\n\n The following are the Hubei data and calculated data:<\/p>\n\n\n\n[ngg src=”galleries” ids=”15″ display=”basic_thumbnail” override_thumbnail_settings=”1″ thumbnail_width=”404″ thumbnail_height=”279″ thumbnail_crop=”0″]\n\n\n\n <\/p>\n\n\n\n Some other dashboards for covid-19:<\/p>\n\n\n\n https:\/\/covidly.com<\/a><\/p>\n\n\n\n