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Table 2 The parameters included in the best-fit logistic regression models to predict the presence (1) or absence (0) of dengue in neighborhoods in Machala in 2010

From: Spatiotemporal clustering, climate periodicity, and social-ecological risk factors for dengue during an outbreak in Machala, Ecuador, in 2010

Parameter

Estimate

95% CI

SE

VIF

P value

Model A.

     

Intercept

0.75

0.46 – 1.05

0.15

 

< 0.001

Head of household is a woman

7.77

0.73 – 15.17

3.67

1.14

0.034

Age of head of household

0.10

0.00 – 0.21

0.05

1.06

0.051

Residual of HCI regressed on households with no access to piped water inside the home

9.04

3.98 – 14.37

2.64

1.05

< 0.001

Distance to central hospital

−0.0005

−0.0007 – 0.0

0.0001

1.20

< 0.001

Model B.

     

Intercept

−7.59

−14.24 – −1.32

3.28

 

0.021

Head of household is a woman

7.30

0.11 – 14.83

3.74

1.18

0.051

Age of head of household

0.14

0.002 – 0.26

0.07

1.60

0.052

No piped water inside the home

−3.18

−6.08 – −0.4

1.44

3.64

0.027

HCI

9.16

4.06 – 14.56

2.66

3.11

0.001

Distance to central hospital

−0.001

−0.001 – 0.0

0.0

1.31

<0.001

  1. (Model A.) The best fit model, which included the residual of the HCI regressed on the variable for no access to piped water inside the home. (Model B.) The same model is shown with separate parameters for the HCI and no access to piped water inside the home to indicate the direction of the effects of the parameters in the model. VIF values indicate a high degree of multicollinearity in model B compared to model A. High values of HCI indicate poor housing condition.