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

Wang et al. Malaria Journal 2006 5:29   doi:10.1186/1475-2875-5-29