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Table 2 Estimation results of univariable and multivariable analysis (age group from <1 to <4 years)

From: Ecological analysis of social risk factors for Rotavirus infections in Berlin, Germany, 2007–2009

Explanatory variable

Univariable analysis

Multivariable analysis

 

Excess risk ratio (95% CI)

DIC (rank)

Excess risk ratio (95% CI)

DIC

Unemploymenta

3.94 (2.37, 5.49)

3623.9 (1)

4.95 (3.10, 6.74)

3627.4

Migration volumea

0.56 (−0.30, 1.42)

3637.2 (4)

−0.04 (−1.01, 0.93)

 

Foreign residentsa

0.62 (−0.31, 1.56)

3635.8 (2)

−0.25 (−1.36, 0.88)

 

Population densitya

0.04 (−0.04, 0.12)

3636.4 (3)

−0.00 (−0.09, 0.08)

 

Basic residential qualitya

−0.02 (−0.20, 0.15)

3638.7 (7)

−0.14 (−0.32, 0.04)

 

Day care attendanceb

0.25 (0.26, 0.77)

3637.6 (6)

0.53 (0.00, 1.06)

 

<1 yeara

referencec

3637.3 (5)

referenced

 

1 - <2 yearsa

−30.89 (−37.72, -23.60)

 

−43.74 (−56.04, -29.19)

 

2 - <3 yearsa

−77.34 (−80.64, -73.74)

 

−84.10 (−89.65, -76.66)

 

3 - <4 yearsa

−91.60 (−93.49, -89.46)

 

−94.50 (−96.84, -91.12)

 
  1. Fixed-effect of explanatory variables on hospitalized Rotavirus infections (infant model) in Berlin. Excess risk ratio = (Relative risk-1)·100%; 95% CI: 95% Bayesian credibility interval, a = in percent, bin percent stratified for the four age groups cTo assess the relevance of the excess risk ratios: the baseline three-year-incidence in the model with just age group as covariate is estimated to be 266/10,000 inhabitants (i.e. posterior mean of the age group of <1 year olds), dPosterior mean three-year-incidence of the age group of <1 year olds is 189/10,0000 inhabitants.