Corona Virus – Analysis and Forecasting Inf...

Corona Virus – Analysis and Forecasting Infection and Death rate Using Machine Learning

Author Name : Rathnakar Achary, Chetan J Shelke, Trisha Singh

ABSTRACT

The world health organization declared the pandemic originated from Wuhan, China which was spread quickly throughout the world. Several research conducted analysis worldwide to forecast the characteristics of this challenge, primarily related to COVID-19, have become increasingly accepted. The main objectives of these research are to analyze the behavior and the virus's natural evolution. However, predicting the real number of peoples affected has proven difficult due to a variety of factors, including social isolation, mass testing, and underreporting of cases, are some of the important ones. As there is an increase in COVID-19 cases on daily based in all the three waves, obtaining real time information become very difficult to know the infected, recovered, people suffered from prolonged illness and casualties. The initial study report has highlighted some of the important characteristics However, the initial study is able to identify few emerging characteristics.

To fight Covid-19, we need to understand the mutation of the virus in the world. The most important part of fighting this virus is to understand the analytics of the spread. The most important part, to begin with, is to predict the virus chain spread to take precautionary measures as well as take certain steps first-hand and be ready for it. The precautionary measure will help all the countries to take certain steps which in return will help them to keep their economy and health least affected. The analysis can save millions of lives.

Keywords: SARS COV 2, COVID 19, Prediction, Gaussian Model, Machine Learning