期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2021
卷号：9
期号：7
页码：8261-8265
DOI：10.15680/IJIRCCE.2021.0907067
语种：English
出版社：S&S Publications
摘要：The role of mathematical modelling in predicting spread of an epidemic is of vital importance. The main purpose of present study is to develop and apply a computational tool for predicting evolution of different epidemiological variables for COVID-19 in India.It is the utmost importance to identify the future infected cases and the spread of virus rate for advance preparation in the healthcare services to avoid deaths.Accurately forecasting spread of COVID-19 is an analytical problem.So, we use day level information of COVID-19 spread for cumulative cases from whole world and 10 mostly affected countries. The most essential part is to minimize the spread of the virus by monitoring, tracking, and estimating the outbreak. To predict the spread of COVID-19 we made use of the Machine learning techniques like ML Prediction and Forecasting with Time Series Analysis with the available COVID-19 data set.In this paper we are predicting the COVID-19 confirmed, death, recovery cases and mortality rate of different countries based on the available data set. In this paper the algorithms[7] used are linear regression and SVM methods to predict the spread of COVID-19.The result is in the form of time series where one can able to know the spread of COVID-19 cases in different countries across the world.
