In April 2020, Ravi Prakash has published a research paper, entitled Predicting the Rate of Growth of the Novel Corona Virus 2020, through International Journal on Emerging Technologies (IJET) i.e. indexed by Scopus. It is a data-science research work.
(the paper can either be downloaded from the journal's website by clicking above at it's title or by clicking here)
This repository is based on a data-science based research work, where I have given a mathematical model to estimate the growth rate of the novel Coronavirus in China.
Here the status of the cases in mainland of China within 7-8 days from March 21st are predicted.
In this work, we have also varified, the steps taken by the Chianese government as well as how accurate we analysed the things, with our estimates.
It basically works on the linear regressions. The data used in this reasearch is collected from various sources inscuding Johns Hopkins University and Ministry of Health and Family Welfare (Government of India). A similar approach can also be used to understand and slightly predict the rate of growth of the COVID-19 in any region of the world.
For complete documentation of the research work is available here.