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Table 2 Characteristics of SARIMA models for climatic variables: coefficients, standard errors of residuals, AIC: Akaike information criterion, p-value after Ljung-Box test of residuals

From: Time series analysis of dengue incidence in Guadeloupe, French West Indies: Forecasting models using climate variables as predictors

Climatic variables SARIMA (p,d,q) (P,D,Q) S model AR1 MA1 SMA Sd (residuals) AIC p-value (Ljung-box test)
Accumulated rainfall (1,1,1) (0,1,1) 52 0.154* -0.980* -1.00* 0.85 942.78 0.32 (NS)
Relative humidity (1,1,1) (0,0,0) 52 0.207* -0.632* _ 0.039 -1320 0.307 (NS)
Minimum temperature (0,0,1) (0,1,1)52 0.249* _ -1.00* 0.67 785.69 0.61 (NS)
Maximun temperature (1,1,1) (0,1,1) 52 0.439* -0.918* -1.00* 0.473 576.63 0.566 (NS)
Average temperature (1,1,1) (0,1,1) 52 0.310* -0.927* -0.897* 0.473 556.92 0.566 (NS)
  1. AR: autoregressive, MA: moving average, SMA: seasonal moving average, *:p-value < 0.05 significant.
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