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Table 12 Predicting An. arabiensis 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 0.08 <0.001 0.02 0.32
  SRTM TPI500 0.56 <0.001 0.41 0.77
  LandSat 5:7 93.9 0.02 2.37 3726.71
  LandSat 2:4 6.24e + 10 0.03 18.91 2.06e + 20
LandSat-ASTER ASTER TPI500 1.23 0.02 1.04 1.47
  ASTER TPI2000 0.83 0.004 0.72 0.94
  LandSat 5:7 99.09 0.006 3.67 2672.71
  LandSat 2:4 4.37e + 11 0.01 576.29 3.32e + 20