Table 2 Inference from the Gaussian spillover risk model
Quantile | ||||
|---|---|---|---|---|
Parameter | Mean | SD | 0.025 | 0.975 |
Intercept | –2.23 | 0.71 | –3.90 | –1.20 |
Previous treatment: yes vs. no | 0.81 | 0.24 | 0.44 | 1.35 |
Sex: female vs. male | 0.11 | 0.16 | –0.17 | 0.46 |
Smear positive: yes vs. no | 0.11 | 0.22 | –0.29 | 0.58 |
Socioeconomic status: | ||||
Middle vs. upper | –0.19 | 0.30 | –0.81 | 0.39 |
Lower vs. upper | –0.40 | 0.31 | –1.10 | 0.15 |
Population density | 0.01 | 0.09 | –0.17 | 0.19 |
Age category | ||||
[25–65) vs. [18–25) | –0.01 | 0.16 | –0.33 | 0.31 |
65+ vs. [18–25) | –0.27 | 0.32 | –1.00 | 0.30 |
Spillover magnitude (λ) | 0.49 | 0.28 | 0.01 | 1.13 |
Spillover range (θ), kilometers | 5.47 | 1.83 | 1.38 | 9.63 |
Regression parameter variance (\( {\sigma}_{\delta}^2 \)) | 0.90 | 0.86 | 0.18 | 3.10 |
Spatial variance parameter (\( {\sigma}_w^2 \)) | 1.71 | 1.55 | 0.11 | 5.53 |