Skip to main content

Table 13 Predicting Anopheles presence compared to water 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 0.53 0.0014 0.32 0.88
  SRTM TPI500 0.87 0.03 0.77 0.99
  LandSat 3:1 0.00004 0.025 5.98e - 09 0.28
  LandSat 2:4 100336.2 0.03 2.71 3.72e + 09
LandSat-ASTER LandSat 3:1 2.50e - 06 0.002 6.35E - 10 0.01
  LandSat 2:4 127191.3 0.021 5.88 2.75e + 09