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Table 6 Coefficients and goodness of fit of a logistic binary model predicting the probability of high-risk schools for urinary schistosomiasis in Ogun State, on the basis of observed data of disease and environmental variables: Variables in the equation.

From: Geographical information system and predictive risk maps of urinary schistosomiasis in Ogun State, Nigeria

Variable B SE Wald df Sig. Exp (B) 95% C.I. for Exp (B)  
Model 2        Lower Upper
LST -0.478 0.227 4.441 1 0.035 0.620 0.397 0.967
Rainfall -0.006 0.002 16.318 1 0.0005 0.994 0.991 0.997
Soiltype    11.706 3 0.008    
Soiltype (1) 0.539 0.493 1.196 1 0.274 1.714 0.653 4.503
Soiltype (2) 0.133 0.451 0.086 1 0.769 1.142 0.472 2.765
Soiltype (3) 1.386 0.523 7.015 1 0.008 3.998 1.434 11.151
Constant 20.593 8.254 6.225 1 0.013 8.8 × 108   
  1. *df = degree of freedom; SE = standard error; Sig = significance; B = regression coefficient; Exp(B) = odd ratio.
  2. Note: Table shows final Model after forward stepwise elimination of non-significant variables.