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Table 3 Generalized linear mixed model using postcode as a random intercept

From: GIS-supported epidemiological analysis on canine Angiostrongylus vasorum and Crenosoma vulpis infections in Germany

Variable

Estimate

SE

z-value

Pr(>|z|)

Residual deviance

AIC

Parasite

Intercept

-5.49

0.37

-14.84

7.91e -50

2,111.68

2,131.68

A. vasorum

Other agriculture

0.70

0.80

0.87

0.38

   

Woody plant area

10.93

4.08

2.68

0.01

   

Moorland

-23.49

19.7

-1.19

0.23

   

Broadleaf forest

2.06

1.24

1.66

0.1

   

Softwood forest

-0.41

0.77

-0.53

0.59

   

Mixed forest

2.11

0.56

3.75

1.79e -04

   

A. vasorum prevalence per month

46.79

6.93

6.75

1.45e -11

   

Age in months

-0.12

0.04

-3.31

9.39e-04

   

Intercept

-4.3

0.29

-14.76

2.58e 49

2,110.3

2,122.3

C. vulpis

Bodies of water

-4.12

2.58

-1.59

0.11

   

Field

-1.14

0.44

-2.56

0.01

   

Age in months

-0.08

0.04

-2.11

0.03

   

C. vulpis prevalence per month

38.35

5.36

7.16

8.32e-13

   
  1. Note: Statistically significant (P ≤ 0.05) associations are displayed in bold
  2. Abbreviations: SE standard error, AIC Akaike’s Information Criterion