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Table 10 Predicting Anopheles 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

0.3

0.004

0.13

0.67

 

SRTM

TPI500

0.46

<0.001

0.32

0.65

 

SRTM

TWI

1.66

0.02

1.1

2.5

LandSat-ASTER

ASTER

TPI500

1.24

0.02

1.04

1.48

 

ASTER

TPI2000

0.81

0.001

0.72

0.92

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International Journal of Health Geographics

ISSN: 1476-072X