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Table 12 Predicting An. arabiensis presence compared to random using GLMM

From: Identifying malaria vector breeding habitats with remote sensing data and terrain-based landscape indices in Zambia

Model

Data Source

Variable

Odds Ratio

P > |z|

95% CI Lower

95% CI Upper

LandSat-SRTM

SRTM

slope

0.08

<0.001

0.02

0.32

 

SRTM

TPI500

0.56

<0.001

0.41

0.77

 

LandSat

5:7

93.9

0.02

2.37

3726.71

 

LandSat

2:4

6.24e + 10

0.03

18.91

2.06e + 20

LandSat-ASTER

ASTER

TPI500

1.23

0.02

1.04

1.47

 

ASTER

TPI2000

0.83

0.004

0.72

0.94

 

LandSat

5:7

99.09

0.006

3.67

2672.71

 

LandSat

2:4

4.37e + 11

0.01

576.29

3.32e + 20

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International Journal of Health Geographics

ISSN: 1476-072X