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Table 13 Predicting Anopheles presence compared to water 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

0.53

0.0014

0.32

0.88

 

SRTM

TPI500

0.87

0.03

0.77

0.99

 

LandSat

3:1

0.00004

0.025

5.98e - 09

0.28

 

LandSat

2:4

100336.2

0.03

2.71

3.72e + 09

LandSat-ASTER

LandSat

3:1

2.50e - 06

0.002

6.35E - 10

0.01

 

LandSat

2:4

127191.3

0.021

5.88

2.75e + 09

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International Journal of Health Geographics

ISSN: 1476-072X