Table 4.

Socio-economic factors and the risk of malaria infection in fever cases and controls in Yopougon. Logistic regression model. Health facility-based surveys. N = 812.

Socio-economic factors	% of total	OR	95% CI	P value
Education level
Primary	29.4%	1	-	-
Secondary	26.7%	0.54	0.35–0.84	<0.01
Superior	8.7%	0.37	0.18–0.77	<0.01
Other	35.2%	0.76	0.51–1.12	0.17
Housing material
Leaf/mud	7.7%	1	-	-
Concrete/brick	91.7%	0.65	0.35–1.2	0.1
Water supply resource
Well	1.4%	1	-	-
Tap water	95.6%	1.67	0.34–11.14	0.74
Fountain	2.0%	1.07	0.11–11.54	1.00
Living nearby agriculture land or gardens
No	20.9%	1	-	-
Yes	75.4%	1.05	0.70–1.59	0.8
Bednet usage (treated and untreated)
No	89.9%	1	-	-
Yes	10.1%	0.52	0.29–0.97	<0.05
Rural exposure within 90 days
No	68.9%	1	-	-
Yes	31.1%	1.75	1.25–2.45	<0.001
Previous malaria treatment within 30 days with the presence of parasitaemia
No	63.3%	1	-	-
Yes	36.7%	1.09	0.79–1.53	0.6
Residence of patients
Centre	35.3%	1	-	-
Intermediate	30.2%	1.27	0.86–1.86	0.2
Periphery	34.5%	1.17	0.80–1.72	0.4