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Table 11 Predicting An. arabiensis 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 0.08 <0.001 0.02 0.32
  SRTM TPI500 0.56 <0.001 0.41 0.77
  LandSat 5:7 93.9 0.03 18.9 2.06e + 20
  LandSat 2:4 6.24e + 10 <0.001 0.41 0.77
LandSat-ASTER ASTER TPI500 1.24 0.005 1.07 1.43
  ASTER TPI2000 0.83 0.001 0.74 0.92
  LandSat 5:7 66.00 0.004 3.89 1119.57
  LandSat 2:4 2.97e + 10 0.008 512.39 1.72e + 18