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Table 4 Multivariate regression with predicted wetness and elevation variables

From: Topography-derived wetness indices are associated with household-level malaria risk in two communities in the western Kenyan highlands

   Kipsamoite Kapsisiywa
Type of model Variables in model OR 95% CI OR 95% CI
Predicted wetness or elevation variables alone Distance to very high predicted wetness 0.920 0.885 0.957 0.903 0.857 0.953
  Household elevation 0.422 0.251 0.710 0.677 0.293 1.564
  Distance to very low elevation 0.958 0.935 0.982 1.009 0.999 1.019
Predicted wetness and elevation variables jointly Distance to very high predicted wetness 0.925 0.888 0.964 0.874 0.826 0.925
  Household elevation 0.686 0.401 1.174 3.552 1.475 8.550
  Distance to very high predicted wetness 0.923 0.884 0.963 0.897 0.854 0.942
  Distance to very low elevation 0.985 0.960 1.012 1.012 1.002 1.023
  1. Odds ratios for the presence or absence of household malaria associated with a 100 m increase in distance or elevation, entering variables singly and jointly into multivariate logistic regression models. Models control for year and person-time.