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Table 2 Socio-economic factors and the risk of malaria infection in a logistic regression model. Health facility-based surveys. NA = not available. N = 1449. Significant results are highlighted

From: Rapid Urban Malaria Appraisal (RUMA) II: Epidemiology of urban malaria in Dar es Salaam (Tanzania)

Socio-economic factors % of total Odds-Ratio 95% CI P value
Education
   Primary 65.4 1 - -
   Secondary 5.9 0.33 0.04–2.44 >0.05
   Superior 1.4 NA NA NA
   No education 27.3 0.87 0.44–1.72 >0.05
Housing material
   Concrete/brick 99.1 1 - -
   Leaf/mud 0.7 21.80 1.29–369.75 <0.05
Water supply source
   Tap water 74.0 1 - -
   Well 24.4 1.19 0.63–2.23 0.6
Living near a garden or agriculture land
   No 82.7 1 - -
   Yes 17.3 1.1 0.56–2.16 0.8
Previous malaria treatment within 30 days with the presence of parasitaemia
   No   1 - -
   Yes (≤ 5 years-old) 34.5 2.84 1.33–6.07 <0.005
   Yes (>5 years-old) 27.4 0.68 0.27–1.70 >0.05
Adjusted for the effects of age groups
Bednet usage one night before the survey
   No 8.2 1 - -
   Yes 91.8% 0.6 0.27–1.55 0.3
ITN ownership
   No 56.9 1 - -
   Yes 43.1 0.6 0.34–1.07 0.08
Adjusted for the effects of different residential areas
Rural exposure within 90 days
   No   1 - -
   Yes (≤5 years-old) 11.8 3.62 1.48–8.88 <0.05
   Yes (>5 years-old) 13.5 2.80 1.23–6.37 <0.01
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