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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.