Predictive Analysis of COVID-19 Virus Pandemic Spread with the Support of Efficient Machine Learning Techniques

Abstract

COVID-19, the pandemic that has got the whole world worried, also called 2019-nCoV or 2019
novel coronavirus, is caused due to the virus called SARS CoV-2 which happens to be one of the kind
of coronaviruses. The medical fraternity has not been able to find a cure to this dreadful disease till
day. However, rigorous work is being carried out towards the same. During such times, it becomes
difficult for the governments of various countries across the globe to maintain integrity and peace
among the minds of the people. Therefore, for the government to take thoughtful decisionsin the interest
of the people of their country, they require a model or a way in which they can predict and analyze the
way the disease is spreading across their territory. This paper puts forward a statistical machine
learning model which uses the regularly updated data set consisting number of confirmed cases, active
cases, recovered cases and deaths caused due to COVID-19 to predict and visualize the spread of the
disease in different parts of the world. Thus, providing support to the decisions taken by the government
officials