A Prediction Model - Comparative Analysis and Effective Visualization for COVID-19 Dataset

Abstract

Covid-19 is a dangerous infection which is caused by SAR-COV 2 (stands for severe acute respiratory syndrome coronavirus 2). The first known coronavirus case was found in Wuhan, China in 2019. On 11th March 2020 the World health organization declared covid-19 as an epidemic and from that point of time it has been mutated into various variants and thus causing a lot of health issues among the people. It has affected the people as well as the economy of the country in a negative way. Major symptoms which were recognize from the people who were affected from the covid includes cough, fatigue, constant fever, difficulty during breathing and loss of smell and taste. In this study, an overview of analysis of the variants of the coronavirus as well as impact of covid-19 in various countries has been studied in a detailed manner. In order to show the impact of Covid-19 on a clear picture, the study has been visualized with the help of various charts and figures in order to make it easy to understand. Techniques which provide effective visualization is discussed. A comparison of the prediction models with deep learning algorithms is also mentioned in this paper. This study would be helpful for covid-19 research as it gives a clear view of trends and different aspects of covid-19 as well as a detailed view on the variants which were formed.