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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