Tab. IV.

The final Logistic regression model of malaria vector control methods utilized by the 329 caregivers and their predictor on the study outcomes (adjusting for demographic factors).

Prevention methods	Severe malaria	Mortality
	β (OR) p-value	β (OR) p-value
ITN (n = 43)	0.20 (1.2) 0.560	18.50 (1.1) 1.00
IS (n = 242)	0.51 (1.7) 0.30	1.51 (4.5) 0.18
NDW (n = 263)	0.43 (1.5) 0.34	1.06 (2.9) 0.23
RES (n = 188)	-0.41 (0.7) 0.29	18.88 (1.6) 1.00
ITN+IS+NDW+RES (n = 9)	1.66 (5.2) 0.04	*-0.65 (0.5) 1.00
IS+NDW+RES (n = 141)	-0.19 (0.8) 0.69	-18.58 (0.0) 1.00
IS+NDW (n = 212)	-1.24 (0.3) 0.05	-0.81 (0.4) 0.58

^*p < 0.05

OR = odds ratio, β = measure of how strongly each predictor variable influences the outcome variables. ITN – Regular use of ITN, IS – Use of insecticide spray, NDW – Netting of doors/windows and RES – Regular environmental sanitation (clearing bushes and drainages around the house); Constant for the model was -0.28 (0.8) 0.41 for severe malaria and 1.15 (3.1) 0.01 for mortality.