Table 2 Results of the Bayesian logistic regression model.
From: Spatial prediction of malaria prevalence in an endemic area of Bangladesh
Variable | Posterior distribution |
|---|---|
| Â | OR (95% CI) |
Age* | 0.95 (0.93,0.97) |
Economic status (live with deficiency) | 1 |
Economic status (Deficient sometimes) | 1.11 (0.50, 2.14) |
Economic status (No deficient nor surplus) | 1.70 (0.78, 3.23) |
Economic status (Surplus) | 1.37 (0.52, 2.90) |
Forest type (deep forest) | 1 |
Forest type (fragmented forest) | 1.82 (1.02, 3.16) |
Forest type (other woodland) | 1.16 (0.20, 3.46) |
Elevation* | 1.17 (0.90, 1.51) |
Intercept | 0.31 (0.13, 0.63) |
Rate of decay of spatial correlation# | 399 (147.8, 587.2) |
Variance of spatial random effect | 0.62 (0.03,2.39) |