A Comparative Study between ARIMA Model, Holt-Winters – No Seasonal and Fuzzy Time Series for New Cases of COVID-19 in Algeria

Abstract

Background: Coronavirus disease has become a worldwide threat affecting almost every country in the world. The spread of the virus is likely to continue unabated. The aim of this study is to compare between Autoregressive Integrated Moving Average (ARIMA) model, Fuzzy time series and Holt-Winters - No seasonal for forecasting the COVID-19 new cases in Algeria.