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Table 11 Predicting An. arabiensis presence compared to random using GLM

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

0.03

18.9

2.06e + 20

 

LandSat

2:4

6.24e + 10

<0.001

0.41

0.77

LandSat-ASTER

ASTER

TPI500

1.24

0.005

1.07

1.43

 

ASTER

TPI2000

0.83

0.001

0.74

0.92

 

LandSat

5:7

66.00

0.004

3.89

1119.57

 

LandSat

2:4

2.97e + 10

0.008

512.39

1.72e + 18

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International Journal of Health Geographics

ISSN: 1476-072X