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. 2014 Jun 4;12:92. doi: 10.1186/1741-7015-12-92

Table 2.

Coefficient estimates from the selected model applied historically

Component Variable 2012 2011 2010 2009 2008
Poisson
Intercept
-11.42
-11.50
-11.60
-11.80
-12.20
 
 
(-11.76, -11.09)
(-11.87, -11.17)
(-11.96, -11.24)
(-12.22, -11.39)
(-12.79, -11.69)
 
Population
-1.95
-1.80
-1.60
-1.62
-1.28
 
Immunity
(-2.40, -1.51)
(-2.30, -1.31)
(-2.09, -1.10)
(-2.14, -1.11)
(-1.92, -0.61)
Binomial
Intercept
-0.81
-0.54
-0.75
-1.43
-1.89
 
 
(-1.14, -0.46)
(-0.91, -0.17)
(-1.16, -0.35)
(-1.81, -1.02)
(-2.42, -1.36)
 
Population
-5.24
-5.69
-5.03
-3.42
-3.17
 
Immunity
(-5.82, -4.65)
(-6.34, -5.07)
(-5.71, -4.36)
(-4.18, -2.71)
(-4.19, -2.20)
 
Sqrt Recent
0.19
0.18
0.18
0.13
0.18
 
Cases
(0.06, 0.32)
(0.05, 0.30)
(0.05, 0.31)
(0.01, 0.26)
(0.04, 0.33)
 
Sqrt Neighboring
0.17
0.18
0.16
0.06
0.02
 
Recent Cases
(0.10, 0.24)
(0.11, 0.25)
(0.09, 0.23)
(-0.01, 0.13)
(-0.07, 0.10)
 
DIC
8732.4
8306.9
8107.3
7798.5
6200.7
 
N
12384
10836
9288
7740
6192
Variance
Bernoulli CARa
1.47
1.49
1.41
1.59
1.81
Components
 
(1.03, 2.03)
(1.02, 2.06)
(0.97, 1.98)
(1.08, 2.23)
(1.26, 2.52)
 
Bernoulli Indb
0.11
0.11
0.11
0.11
0.12
 
 
(0.06, 0.19)
(0.06, 0.19)
(0.06, 0.19)
(0.06, 0.19)
(0.06, 0.22)
 
Poisson CARc
0.47
0.49
0.50
0.51
0.61
 
 
(0.22, 0.80)
(0.24, 0.85)
(0.24, 0.86)
(0.25, 0.85)
(0.30, 1.02)
 
Poisson Indd
0.14
0.14
0.14
0.14
0.18
 
 
(0.07, 0.22)
(0.07, 0.24)
(0.08, 0.23)
(0.08, 0.23)
(0.10, 0.28)
 
Covariance CARe
0.04
0.04
0.06
0.26
0.36
 
 
(-0.28, 0.34)
(-0.31, 0.41)
(-0.28, 0.38)
(-0.10, 0.63)
(-0.06, 0.76)
 
Covariance Indf
-0.01
-0.01
-0.01
-0.02
-0.03
    (-0.07, 0.04) (-0.07, 0.04) (-0.07, 0.04) (-0.07, 0.04) (-0.10, 0.04)

Models are estimated using data through the first half of the year that identifies the model. 95% credible intervals (CI) are presented in parentheses underneath corresponding parameter estimates.

aSpatial random effects in Bernoulli portion of the model.

bNon-spatial random effects in Bernoulli portion of the model.

cSpatial random effects in Poisson portion of the model.

dNon-spatial random effects in Poisson portion of the model.

eSpatial random effect covariance.

fNon-spatial random effect covariance.