Table 2 Results of Bayesian spatial binomial model fitted to the OKT data
Sources of variation | Mean | SD | 2.5% | 50% | 97.5% |
|---|---|---|---|---|---|
Prevalence of infection | |||||
Intercept | -0.594 | 0.471 | -1.550 | -0.617 | 0.496 |
ben_ppp | 0.198 | 0.223 | -0.247 | 0.200 | 0.634 |
bio12_wc30s | -5.842 | 1.996 | -9.771 | -5.851 | -1.865 |
bio4_wc30s | -0.202 | 0.174 | -0.545 | -0.202 | 0.142 |
mimq_wc30s | 9.628 | 3.326 | 2.991 | 9.646 | 16.156 |
miaq_wc30s | -0.437 | 0.371 | -1.182 | -0.435 | 0.294 |
dst_coastlin | 5.153 | 2.113 | 0.880 | 5.185 | 9.255 |
landcover | 0.290 | 0.113 | 0.072 | 0.289 | 0.517 |
srtm_topo | 0.916 | 0.321 | 0.276 | 0.918 | 1.548 |
Hyperparameters | |||||
Theta1 for U(s) | -4.726 | 0.265 | -5.205 | -4.745 | -4.16 |
Theta2 for U(s) | 3.477 | 0.401 | 2.606 | 3.507 | 4.209 |
Precision \({\tau }_{v}\) | 18317.257 | 1.82E + 04 | 1260.762 | 12930.477 | 66416.689 |
Prevalence of cases | |||||
Intercept | -1.624 | 0.231 | -2.081 | -1.643 | -1.052 |
ben_ppp | 0.141 | 0.120 | -0.102 | 0.142 | 0.375 |
bio12_wc30s | -2.194 | 1.094 | -4.325 | -2.208 | 0.006 |
bio4_wc30s | -0.189 | 0.115 | -0.414 | -0.189 | 0.039 |
mimq_wc30s | 3.982 | 1.793 | 0.385 | 4.001 | 7.487 |
miaq_wc30s | -0.405 | 0.186 | -0.785 | -0.401 | -0.046 |
dst_coastlin | 2.149 | 1.118 | -0.106 | 2.165 | 4.325 |
landcover | 0.126 | 0.076 | -0.021 | 0.125 | 0.276 |
srtm_topo | 0.539 | 0.177 | 0.184 | 0.541 | 0.885 |
Hyperparameters | |||||
Theta1 for U(s) | -4.048 | 0.622 | -5.263 | -4.052 | -2.812 |
Theta2 for U(s) | 3.738 | 0.777 | 2.195 | 3.743 | 5.254 |
Precision \({\tau }_{v}\) | 19057.593 | 18750.000 | 1300.696 | 13531.915 | 68259.237 |