Abstract
Recording daily active cases statistics benefits instantly when studying the ongoing COVID-19 dashboard for a country. It would help to illuminate the probable strategy of action for policy makers, as well as planners of a country. The goal of the paper is to forecast daily active COVID-19 cases for Bangladesh using various forecasting models, namely the regression model, the non-linear exponential regression model and some time series models based on the daily positive cases, daily deceased cases, daily recovered cases and some environmentally important variables. Our findings suggest that time series forecasting models have better ability to predict daily active cases as compared to other selected forecasting models.
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