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

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

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)**
Montha * * *
Random effect Variance Variance Variance
Village 1.1 3.3 1.5
  1. The models were adjusted for the collection technique applied in each mosquito collection
  2. * p < 0.05; ** p < 0.01
  3. aOnly the significance of month covariate is indicated; the smooth function of this predictor is shown in Fig. 7