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Table 2 Predictors of incidence, and case detection rate in the binomial mixture model

From: A novel Bayesian geospatial method for estimating tuberculosis incidence reveals many missed TB cases in Ethiopia

  Coefficient, median (95% CrI) Odds*, Odds ratio (95% CrI)
State-space model
 β0 (intercept) −5.5 (−6.1, −4.9) 0.004 (0.002, 0.007)*
 β1 (population density)a 0.1 (0.1, 0.14) 1.1 (1.1,1.2)
 β2 (temporal lag)b 0.003 (−0.1, 0.1) 1.0 (0.9, 1.1)
 β3 (spatial lag)b 0.5 (0.3, 0.7) 1.6 (1.4, 2.0)
Case detection model   CDR, median (95% CrI)
CDR in kebeles with no health facility 0.59 (0.55, 0.63)
CDR in kebeles with a health facility 0.69 (0.62, 0.77)
  1. a Population per square km, b: number of incident TB cases/100,000 population/year
  2. CDR- case detection rate