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Table 9 Predicting Anopheles presence compared to random 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 0.47 0.005 0.27 0.80
  SRTM TPI500 0.58 <0.001 0.47 0.71
  SRTM TWI 1.36 0.002 1.05 1.76
  SRTM TPI2000 0.94 0.03 0.88 0.99
LandSat-ASTER LandSat 3:1 2.40e - 06 <0.001 3.15e - 09 0.002
  ASTER TPI2000 0.95 <0.001 0.92 0.97
  LandSat 2:4 316321.9 0.007 30.83 3.25e + 09