Table 2. Results of fit to serological data.
| q | Deviance | AIC | R0 | ||
| VZV | Little Italy Type1 | 0.051 (0.047,0.055) | 276.42 (1 df) | 447.61 | 3.14 |
| Little Italy Type 2 | 1.35 (1.29, 1.42) | 111.37 (1 df) | 282.57 | 4.94 | |
| Little Italy Type 3 | 1.42 (1.35,1.51) | 190.15 (1 df) | 361.34 | 3.43 | |
| Big Italy | 12.35 (11.67,13.09) | 101.11 (1 df) | 272.30 | 4.80 | |
| Polymod | 11.37 (10.80, 11.99) | 67.34 (1 df) | 238.53 | 4.77 | |
| Time-Use | 4.28 (4.09,4.47) | 114.32 (1 df) | 285.51 | 4.11 | |
| Non-parametric | 64.30 (4.92 df) | 243.33 | |||
| B19 | Little Italy Type1 | 0.029 (0.028, 0.030) | 135.61 (1 df) | 402.11 | 1.72 |
| Little Italy Type 2 | 0.73 (0.71, 0.75) | 157.24 (1 df) | 423.74 | 2.67 | |
| Little Italy Type 3 | 0.82 (0.80, 0.84) | 159.90 (1 df) | 426.39 | 1.98 | |
| Big Italy | 5.39 (5.20, 5.60) | 195.99 (1 df) | 462.48 | 2.10 | |
| Polymod | 5.26 (5.06, 5.48) | 202.91 (1 df) | 469.41 | 2.21 | |
| Time-Use | 2.23 (2.16, 2.30) | 195.60 (1 df) | 462.09 | 2.14 | |
| Non-parametric | 81.23 (3.95 df) | 353.63 |
Results of the fit to Italian serological data for VZV and B19 by an SIR model based on the various contact matrices considered: q estimates and related 95% confidence intervals (column 3), deviance and related number of degrees of freedom (df, column 4), Akaike information criterion (AIC, column 5), R0 estimates (column 6). Deviance and AIC also reported for the non-parametric model.