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

Table 4 Multivariate regression with predicted wetness and elevation variables

		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

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.

ISSN: 1475-2875