Table 2 Predictors of malaria prevalence in the non-spatial and spatial Bayesian models
Parameter | Mean log odds (95% Credible intervals) |
|---|---|
Full non-spatial model | Â |
 Intercept | − 4.9129 (− 5.7024, − 4.1390) |
 ITN Coverage | 4.0385 (3.1535, 4.9407) |
 Travel time to health facility | 0.0037 (0.0020, 0.0054) |
 Aridity | 0.0476 (0.0271, 0.0681) |
Spatial model | Â |
 Null spatial model |  |
  Intercept | − 1.1943 (− 1.4532, − 0.9415) |
  \({\sigma }^{2}\)(spatial variance) | 1.3218 (0.8211, 1.8869) |
  Range nominal | 0.2738 (0.1365, 0.4271) |
  \(\kappa\)(kappa) | 11.1711 (5.6585, 17.6613) |
 Full spatial model |  |
  Intercept | − 2.9184 (− 4.0083, − 1.9530) |
  ITN Coverage | 4.5643 (2.4086, 6.8874) |
  Travel time to health facility | 0.0057 (0.0017, 0.0099) |
  Aridity | 0.0600 (0.0079, 0.1167) |
  \({\sigma }^{2}\)(spatial variance) | 0.8772 (0.5061, 1.2915) |
  Range nominal | 0.2917 (0.1250, 0.4886) |
  \(\kappa\)(kappa) | 10.8059 (4.6372, 18.1236) |