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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