Prediction of Covid-19 infected cases in India using time series model.

The weighty increase in the daily COVID-19 infected cases around us is frightening, and many researchers are currently working on various mathematics-based estimation models to predict the subsequent trend of this pandemic. In this paper, some trajectories of COVID-19 in. India are predicted using data available in public domain. We employed a time series model called Auto-Regressive Integrated Moving Average Model to make forecast the daily number of infected cases of COVID-19 in.near future. Our analysis predicted very alarming outcomes. A set of intense preventive measures are proposed to avoid such a deadly situation. Based on our estimations, Indian health officials should adapt warmongering interference to grasp the stepped-up growth, and cursory infection control actions at hospital levels are immediately needed to downsize the COVID-19 pandemic. If stringent precautionary measures are not implemented by Indian government to control the spread of COVID-19, then the effects may be worsened. [ABSTRACT FROM AUTHOR]