Skip to main content

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.