Table 3. Forecasting accuracy of different time series models for cumulative recovered cases.

Method	RMSE	MAE
SES	1404.38	683.31
Mean	20490.11	15684.08
Naïve	1410.22	689.04
Seasonal Naïve	7480.11	4435.43
Drift	1230.43	757.05
Holt’s Linear Trend	890.40	295.45
Damped Trend	944.86	342.67
Holt-Winter’s Additive	891.31	367.00
Damped Holt-Winter’s Multiplicative	1096.68	511.64
ETS(A,A,N)	890.45	294.40
ARIMA(0,2,1)	890.30	29.20