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Table 1 Covariate estimates for models using data through May 2013

From: Predictive spatial risk model of poliovirus to aid prioritization and hasten eradication in Nigeria

Component Variable Full Selected Null
Poisson Intercept -11.21 -11.51 -12.68
   (-11.88, -10.51) (-11.83, -11.17) (-13.03, -12.37)
  Population Immunity -2.50 -1.80  
   (-3.32, -1.66) (-2.20, -1.44)  
  Zero-Dose Fraction -0.72   
   (-1.47, -0.02)   
  Density 0.02   
   (-0.07, 0.11)   
  Sqrt Recent Cases -0.05   
   (-0.11, 0.02)   
  Sqrt Neighboring Recent Cases 0.02   
   (-0.02, 0.05)   
Bernoulli Intercept -0.91 -1.11 -3.60
   (-1.64, -0.16) (-1.42, -0.80) (-3.80, -3.43)
  Population Immunity -4.86 -4.74  
   (-5.69, -4.01) (-5.27, -4.21)  
  Zero-Dose Fraction -0.19   
   (-1.12, 0.75)   
  Density -0.02   
   (-0.11, 0.08)   
  Sqrt Recent Cases 0.19 0.19  
   (0.07, 0.31) (0.07, 0.32)  
  Sqrt Neighboring Recent Cases 0.17 0.17  
   (0.10, 0.23) (0.10, 0.23)  
  DIC 9263.6 9266.8 10121.3
  N 13932 13932 13932
Variance Bernoulli CARa 1.51 1.50 1.48
Components   (1.06, 2.08) (1.04, 2.04) (1.08, 1.98)
  Bernoulli Indb 0.10 0.10 0.09
   (0.06, 0.17) (0.05, 0.18) (0.05, 0.15)
  Poisson CARc 0.49 0.46 0.67
   (0.24, 0.86) (0.22, 0.79) (0.39, 1.05)
  Poisson Indd 0.14 0.13 0.15
   (0.08, 0.23) (0.07, 0.22) (0.08, 0.23)
  Covariance CARe 0.10 0.07 0.42
   (-0.23, 0.46) (-0.23, 0.39) (0.12, 0.77)
  Covariance Indf -0.01 -0.01 -0.01
   (-0.05, 0.04) (-0.07, 0.04) (-0.06, 0.04)
  1. 95% credible intervals (CI) are presented in parentheses underneath corresponding parameter estimates.
  2. aSpatial random effects in Bernoulli portion of the model.
  3. bNon-spatial random effects in Bernoulli portion of the model.
  4. cSpatial random effects in Poisson portion of the model.
  5. dNon-spatial random effects in Poisson portion of the model.
  6. eSpatial random effect covariance.
  7. fNon-spatial random effect covariance.