Use of prospective hospital surveillance data to define spatiotemporal heterogeneity of malaria risk in coastal Kenya

Table 4 Predictors for presence of female anopheline mosquitoes based on multivariable logistic regression modelling

Predictors	An. funestus	An. gambiae	Anopheles genus
Fixed effect	OR (95 % CI)	OR (95 % CI)	OR (95 % CI)
Presence of rice fields	1.1 (0.1–8.1)	3.1 (0.8–52.1)	2.4 (0.3–15.1)
Years	0.7 (0.6–0.8)**	0.7 (0.6–0.8)**	0.7 (0.6–0.8)**
Month^a	*	*	*

Random effect	Variance	Variance	Variance
Village	1.1	3.3	1.5

The models were adjusted for the collection technique applied in each mosquito collection
* p < 0.05; ** p < 0.01
^aOnly the significance of month covariate is indicated; the smooth function of this predictor is shown in Fig. 7

ISSN: 1475-2875