Skip to main content

Table 3 Effect of site-level independent variables of Rattus rattus hantavirus infection: comparison of linear and non-linear Generalized Linear Mixed Models

From: Geographical distribution and relative risk of Anjozorobe virus (Thailand orthohantavirus) infection in black rats (Rattus rattus) in Madagascar

Variable

Model

OR

CI 95%

LRT

DF

p-value

AIC

No additional variables (weight + habitat)

      

567.9

Bioclimat

Subarid

 

1

 

5.5

3

0.14

568.4

Dry

 

7.15

1–51.26

    

Humid

 

8.34

1.22–56.83

    

Subhumid

 

6.24

1–38.79

    

Season

  

1.24

0.39–3.88

0.13

1

0.72

569.8

Rural/Urban

  

1.03

0.35–2.97

0.002

1

0.96

570.2

Rattus rattus (Rr) abundance

Rr caught within houses

Linear

0.83

0.51–1.36

0.53

1

0.47

569.4

Non-linear

1.22

0.78–1.93

0.72

1

0.4

570.7

Rr caught outside trap lines

Linear

1.18

0.7–1.99

0.39

1

0.53

569.5

Non-linear

1.08

0.62–1.9

0.08

1

0.73

571.5

Shannon diversity index

 

Linear

1

0.63–1.59

0.00

1

1

569.9

 

Non-linear

1.08

0.62–1.9

0.21

1

0.65

571.7

Evenness diversity index

 

Linear

0.84

0.49–1.41

0.45

1

0.5

569.5

 

Non-linear

0.92

0.58–1.47

0.12

1

0.73

571.45

Mean annual temperature

 

Linear

1.11

0.66–1.87

0.15

1

0.7

569.8

 

Non-linear

1.09

0.61–1.95

0.09

1

0.76

571.7

Mean diurnal range in temperature

 

Linear

0.56

0.33–0.96

4.53

1

0.03

565.4

 

Non-linear

0.58

0.31–1.09

3.19

1

0.07

564.2

Temperature seasonality

 

Linear

0.6

0.36–1.01

3.67

1

0.06

566.3

 

Non-linear

0.6

0.28–1.26

1.79

1

0.18

566.5

Annual precipitation

 

Linear

2

1.28–3.12

8.67

1

0.003

561.3

 

Non-linear

0.75

0.54–1.04

3.22

1

0.07

560.0

Precipitation seasonality

 

Linear

0.8

0.47–1.36

0.67

1

0.41

569.3

 

Non-linear

1.02

0.53–1.97

0.004

1

0.95

571.3

Precipitation of driest quarter

 

Linear

1.45

0.89–2.37

2.16

1

0.14

567.8

 

Non-linear

1.05

0.49–2.23

0.02

1

0.9

569.7

PCA Axis 1 (F1)

 

Linear

1.31

1.02–1.68

4.36

1

0.04

565.6

 

Non-linear

0.82

0.69–0.98

5.21

1

0.02

562.4

PCA Axis 2 (F2)

 

Linear

1.08

0.71–1.66

0.13

1

0.72

569.8

 

Non-linear

1.16

0.8–1.68

0.61

1

0.43

571.2

  1. Weight and Habitat (significant variables from Table 2) were included in each model. For non-linear models, likelihood ratio tests (LRT) compare the non-linear model with the linear model. For linear models, LRT compare the linear model with the best model from Table 2 (includes weight and two-level habitat variable). P-values < 0.05 are shown in bold; p values > 0.05 and < 0.20 are shown in italics. AIC values within 2 of the model with the lowest AIC are shown in bold
  2. OR Odds Ratio, CI Confidence interval, AIC Akaike information criterion, LRT likelihood ratio tests, DF Degree of Freedom, PCA Principal Components Analysis