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Table 2 Comparison of candidate SARIMA models for number of CCHF cases in Zahedan district, Iran

From: The effect of climate variables on the incidence of Crimean Congo Hemorrhagic Fever (CCHF) in Zahedan, Iran

Model

Variables

 

Lag

Estimate

SE

t

P-value

[A]

Monthly patients

Constant

 

1.96

0.40

4.81

< 0.001

  

MA

Lag 1

0.26

0.09

2.75

0.007

   

Lag 2

0.26

0.09

2.77

0.006

[B]

 

MA

Lag 1

−0.89

0.04

−18.57

< 0.001

  

MA, seasonal

Lag 1

−0.34

0.17

−1.95

0.05

[C]

 

MA

Lag 1

−0.87

0.05

− 14.82

< 0.001

  

Seasonal difference

 

1

   
  

MA, seasonal

Lag 1

−0.37

0.19

−1.95

0.054

 

Maximum temperature

  

0.023

0.14

0.16

0.86

 

Minimum temperature

  

0.26

0.24

1.09

0.27

 

Mean temperature

  

−0.24

0.18

−1.33

0.18

 

Rain fall

  

0.02

0.04

0.57

0.56

 

Maximum Humidity

  

−0.01

0.02

− 0.76

0.44

 

Minimum Humidity

  

−0.19

0.13

−1.46

0.14

 

Mean Humidity

  

0.06

0.06

0.92

0.35

 

Sunshine

  

0.02

0.01

−1.33

0.18

  1. [A]: MA (2), [B]: univariate SARIMA (0,1,1) (0,1,1), [C]: multivariate SARIMA (0,1,1) (0,1,1), SARIMA: seasonal auto-regressive integrated moving average
  2. A) AIC: 4.84, AICc: 4.84, BIC: 4.94, log likelihood = − 228.45
  3. B) AIC: 4.34, AICc: 4.34, BIC: 4.42, log likelihood = − 201.34
  4. C) AIC: 4.43, AICc: 4.46, BIC: 4.71, log likelihood = − 197.43