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Table 2 Inference from the Gaussian spillover risk model

From: Investigating spillover of multidrug-resistant tuberculosis from a prison: a spatial and molecular epidemiological analysis

    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
  1. Posterior means, posterior SDs, and posterior quantiles are presented. Parameters whose 95% credible intervals do not include 0 are shown in bold, indicating an increased (positive effect) MDR-TB risk for a patient with the particular characteristic
  2. MDR-TB multidrug-resistant tuberculosis, SD standard deviation