Skip to main content

Table 5 Multivariate logistic regression analysis of malaria prevalence with selected seemingly significant variables, Jimma town, 2010

From: Urban malaria and associated risk factors in Jimma town, south-west Ethiopia

Variables

Microscopically confirmed malaria

cases in the study subjects (N = 42)

 

N (%)

n(%)

β

SE

Adjusted OR 95%CI

P.value

Monthly Income of HH

      

   < 31.25USD

130(44.7)

22(16.9)

2.106

1.058

8.212(1.033,65.30)

.047

   31.25-62.5USD

104(35.7)

17(16.3)

1.027

.693

2.7(0.72,10.86)

.138

   >62.5USD

57(19.6)

3(5.3)

  

1

 

Age of study subjects

      

   0-4

73(9.1)

8(11)

4.3

.535

5.16(1.501,13.803)

0.000

   5-14

294 (36.6)

24(8.2)

4.3

.695

3.51(1.001,8.092)

0.000

   >14

437 (54.3)

10(2.3)

  

1

 

Kebeles of study subjects

      

   Bosa Kito

142(17.7)

10(7)

3.97

.722

2.078(0.771,5.598)

0.148

   Bacho Bore

302(36.6)

19(6.3)

3.89

.586

1.841(0.759,4.465)

0.177

   Ginjo Guduru

160(19.9)

6(3.8)

.134

.638

1.069(0.352,3.245)

0.883

   Seto Semero

200(28.9)

7(3.5)

  

1

 

Availability of ITNs in the home

      

   No

66(22.7)

8(12.1)

-2.8

1.036

0.063(0.008,.476)

0.007

   One ITN

87(29.9)

16(18.4)

-2.1

.916

.127(0.021,0.765)

.024

   More than one ITNs

138(47.4)

18(13)

  

1

 

Presence of stagnant water

      

   Yes

167(57.4)

30(18)

1.57

0.648

4.832(1.36,17.2)

0.015

   No

124(42.6)

12(9.7)

  

1

 
  1. Note: N = total number of study participants, n = positive for Plasmodium species