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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