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Table 3 The forecast RMSEs and the MAPEs from models (with raw data from 2013 to 2019) in 5 stages

From: Collateral effects of COVID-19 countermeasures on hepatitis E incidence pattern: a case study of china based on time series models

 

Stage

SARIMA

Holt-Winters

NNAR

Forecasting MAPE

Jan. 2020 to May.2020

84.37%

75.03%

80.55%

Jun. 2020 to Feb. 2021

28.40%

19.53%

29.90%

Mar. 2021 to Nov. 2022

9.17%

6.98%

9.36%

Dec. 2022 to Jan. 2023

97.32%

74.94%

92.24%

In Feb. 2023

3.31%

11.75%

4.98%

Forecasting RMSE

Jan. 2020 to May.2020

1259.90

1126.58

1190.66

Jun. 2020 to Feb. 2021

542.20

385.02

537.57

Mar. 2021 to Nov. 2022

240.09

203.50

234.34

Dec. 2022 to Jan. 2023

1203.54

921.74

1078.16

In Feb. 2023

73.00

259.32

109.98

  1. MAPE mean absolute percentage error, RMSE root mean square error