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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.