Table 4

ARIMA models for the infectious diseases

DiseaseIdentificationAICBICMAPEMSE
HFMDARIMA (0,0,0)×(1,1,0)12260.17262.020.34978.8720
ARIMA (0,0,0)×(1,1,0)12260.81264.51
ARIMA (0,0,0)×(1,1,0)12267.87269.72
ARIMA (0,0,0)×(1,1,0)12264.79266.65
DiarrhoeaARIMA (1,0,1)×(0,1,1)12113.73119.280.68383.4459
ARIMA (1,0,0)×(0,1,0)12137.59139.44
ARIMA (0,0,1)×(0,1,0)12128.35130.20
ARIMA (1,0,0)×(1,1,0)12120.50124.21
ARIMA (0,0,1)×(1,1,0)12117.07120.79
MumpsARIMA (0,0,1)×(0,1,1)1254.1357.830.54170.6300
ARIMA (0,0,1)×(0,1,1)1264.1666.01
ARIMA (0,0,2)×(0,1,0)1258.0060.00
ARIMA (0,0,2)×(0,1,1)1253.2356.93
InfluenzaBecome white noise after differencing
ConjunctivitisARIMA (0,0,1)×(0,1,1)12−120.65−116.950.16380.1091
ARIMA (0,0,1)×(0,1,0)12−103.13−101.28
ARIMA (1,0,0)×(0,1,0)12−94.49−92.64
ARIMA (1,0,0)×(1,1,0)12−102.63−98.93
ARIMA (2,0,0)×(0,1,0)12−99.17−95.47
RubellaARIMA (0,0,1)×(0,1,1)12−34.53−29.680.69480.1215
ARIMA (0,0,1)×(0,1,0)12−31.54−29.68
ARIMA (0,0,1)×(1,1,0)12−33.75−30.05
HydatidBecome white noise after differencing
TyphusARIMA (0,0,1)×(0,1,1)12−401.92−398.220.18190.0021
ARIMA (1,0,0)×(0,1,0)12−384.83−382.83
ARIMA (0,0,1)×(0,1,0)12−391.05−389.20
ARIMA (1,0,0)×(1,1,0)12−393.26−389.57
ARIMA (1,0,0)×(0,1,1)12−397.08−393.38
ARIMA (0,0,1)×(1,1,0)12−400.224−396.524
LeprosyARIMA (0,0,1)×(0,1,0)12−429.84−427.990.47670.0035
ARIMA (1,0,0)×(0,1,0)12−414.98−413.14
Kala-azarARIMA (1,0,0)×(0,1,1)12−531.63−527.930.68370.0021
ARIMA (1,0,0)×(0,1,0)12−530.26−528.40
ARIMA (0,0,1)×(0,1,0)12−525.32−523.47
ARIMA (0,0,1)×(0,1,1)12−527.16−523.46
  • The final ARIMA model selected is highlighted in bold.

  • AIC, Akaike information criterion; ARIMA, autoregressive integrated moving average; HFMD, hand, foot and mouth disease; MAPE, mean absolute percentage error; MSE, mean square error.