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Table 14 Predicting Anopheles presence compared to water 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

TWI

0.81

<0.001

0.73

0.91

 

SRTM

TPI2000

1.46

0.03

1.04

2.03

LandSat-ASTER

ASTER

TPI2000

0.93

0.02

0.87

0.99

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International Journal of Health Geographics

ISSN: 1476-072X