Bilgil, Halis2021-04-282021-04-282021https:/dx.doi.org/10.3934/math.2021091https://hdl.handle.net/20.500.12451/7913Grey theory is an approach that can be used to construct a model with limited samples to provide better forecasting advantage for short-term problems. In some cases, a grey forecasting model may yield unacceptable forecasting errors. In this work, a new exponential grey prediction model, which is called as EXGM (1,1), is proposed. By using this model, new cases, deaths and recovered cases of COVID-19 in Turkey is forecast. Numerical results show that EXGM (1,1) is a model that performs more accurately than the comparison models.trinfo:eu-repo/semantics/openAccessGrey SystemsCOVID-19 PredictionsGrey Forecasting ModelLeast Squares MethodArticle621497151410.3934/math.2021091Q1WOS:000624934700028Q1