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Table 3 Negative binomial regression model of meteorological factors associated with risk of clonorchiasis incidence*

From: Correlation between clonorchiasis incidences and climatic factors in Guangzhou, China

 

B

S.E.

P

(eβ - 1) = percent increase (%)

95% CI for percent increase (%)

     

Lower boundary

Upper boundary

(A)

      

(Intercept)

-278.46

12.18

<0.001

-

-

-

Average temperature

0.01

0.00

<0.001

1.37

0.86

1.87

Average relative humidity

-0.02

0.00

<0.001

-1.69

-2.04

-1.34

Average wind velocity

-0.03

0.02

0.05

-3.19

-6.29

0.01

Aggregate rainfall

0.00

0.00

<0.001

0.02

0.01

0.04

Aggregate sunshine

0.00

0.00

0.13

-0.04

-0.09

0.01

Year

0.14

0.01

<0.001

15.23

13.86

16.62

(B)

      

(Intercept)

-257.01

11.62

<0.001

-

-

-

Average atmospheric pressure

0.00

0.00

0.06

-0.48

-0.97

0.02

Average relative humidity

-0.01

0.00

<0.001

-1.37

-1.77

-0.97

Average wind velocity

-0.06

0.02

0.06

-6.03

-8.91

0.02

Aggregate rainfall

0.00

0.00

<0.001

0.03

0.02

0.05

Aggregate sunshine

0.00

0.00

0.22

0.03

-0.02

0.08

Year

0.13

0.01

<0.001

14.28

12.97

15.61

(C)

      

(Intercept)

-255.90

8.69

<0.001

-

-

-

Average temperature

0.01

0.00

<0.001

1.18

0.88

1.48

Average relative humidity

-0.02

0.00

<0.001

-1.51

-1.75

-1.27

Aggregate rainfall

0.00

0.00

<0.001

0.03

0.01

0.04

Year

0.13

0.00

<0.001

13.94

12.97

14.91

  1. Note. *Negative binomial regression model for monthly clonorchiasis incidence without atmospheric pressure (A) and without average temperature (B). Final models (C).
  2. CI, Confidence Interval.