Temporal and micro-spatial heterogeneity in the distribution of Anopheles vectors of malaria along the Kenyan coast

Table 3 Analysis of deviance of covariates associated with the household density of Anopheles mosquitoes

Covariate	DF^a	Species^b	∆Dev^c,d	P- value^d,e
Rainfall^f	5	A. gambiae	80	< 0.001
		A. funestus	24	< 0.001
Maximum temperature^f	5	A. gambiae	57	< 0.001
		A. funestus	27	< 0.001
Days since study start date × village	5	A. gambiae	120	< 0.001
		A. funestus	180	< 0.001
Household occupancy the night before mosquito collection	5	A. gambiae	8.9	0.11
		A. funestus	31	< 0.001
Distance of household from nearest mosquito larval habitat	6	A. gambiae	5.2	0.51
		A. funestus	12	0.070

^aDegrees of freedom.
^bModels fitted separately to species-specific counts per household.
^cDifference between the (residual) deviance of the model with all covariates and the model without the covariate in question [46].
^dRounded to 2 significant figures.
^eCalculated assuming that, under the null hypothesis (of no statistically significant association between the covariate and the numbers of mosquitoes per household), ∆Dev is χ² distributed with the indicated degrees of freedom [71].
^fIncluded as a 4th order polynomial distributed lag term yielding 5 degrees of freedom.

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