COVID-19 Outbreak from the Experience of Wave 1 and start of Wave 2: Comparison and Analysis

Abstract

COVID-19 has proved to be one of the greatest outbreaks the world has ever seen. COVID-19 is a respiratory disease, whose fatality varies from person to person depending on factors like age group, weakened immune system, and many more. To date, it is believed that the world is fighting the second wave of Novel Coronavirus disease. The first case was observed in Wuhan, China, on December 31st, 2019, and in India, the first case was reported on January 30th, 2020. In this paper, we will be analyzing the data of daily active cases, comparing the 1st and the 2nd wave of the coronavirus in India. The data is collected from December 2019 to May 2020 (1st Wave) and from June 2020 to April 2021 (2nd Wave). We will be using the Machine Learning, Linear Regression model for comparison, and through a series of graphs, we will study how differently each wave hit India. There are 2 datasets for 2 phases, and we have compared them in this paper.