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 |