COVID-19 curve exploration using time series data for India

Considering the ongoing pandemic of Coronavirus disease which has engulfed almost the entire world, it has become vitally important to predict the outbreak of the virus in the coming days using appropriate algorithms. Forecasting the cases will aid healthcare in prompting policies to control the disease. This chapter aims to analyze the trend pattern of COVID-19 with the help of different prediction models. In this chapter, we used time series models to analyze the real-world time series data of COVID-19 cases for India. The analysis shows that the ARIMA model has proved to be more effective for forecasting COVID-19 prevalence. © 2022 Scrivener Publishing LLC.