In this study, cumulative and daily cases are estimated online using discrete-time Gompertz model (DTGM) and Adaptive Kalman Filter (AKF) based on the total COVID-19 cases between February 29-July 28, 2020 in USA, Germany, India, Russia, Italy, Spain, France, United Kingdom, Brazil. Employing the data collected between February 29 and July 28, 2020, it is showed that the DTGM in conjunction with AKF provides a good analysis tool for modeling the daily cases made using the in terms of mean square error (MSE), mean absolute percentage error (MAPE), and R^2.
Birincil Dil | İngilizce |
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Bölüm | Makaleler |
Yazarlar | |
Yayımlanma Tarihi | 29 Eylül 2021 |
Yayımlandığı Sayı | Yıl 2021 |