2a. The age group with the largest reported incidence of IPD is the over 65 year olds (49.0%). The 0–4 year age group reported the most RSV infections (94.8%). For influenza, most cases were reported in the 15–64 years age group (49.6%). Pearson and Spearman’s correlation coefficients between IPD and both respiratory viruses found strong, significant associations for all age groups (Fig. 3): all coefficients selleck chemical have a P-value <0.001. In most age groups, the correlation coefficients are higher for RSV than for influenza. Both coefficients are highest in the older age groups, with the 65 years and over having the strongest

correlation for IPD and influenza and similarly strong associations for IPD and RSV. In the multivariate regression analyses, the factor responsible for the strongest associations with IPD is found to be the average temperature as opposed to either of the viral infections or hours of sunshine (Tables 3 and 4). There was no evidence of an association between IPD and hours of sunshine (results not shown). There was, however, some evidence of an association between IPD and one month lagged hours of sunshine (Table 4). For the age group of all ages, the strongest viral association is with influenza, followed by

RSV, for all of the regression PI3K Inhibitor Library datasheet techniques. There is no evidence of any significant time lags in the incidence data (i.e. model Etofibrate fit did not improve with the introduction of any lags of 1–4 weeks). The linear regression model adjusted by weekly

temperature indicates that 6.9% of IPD cases are attributable to influenza and 3.9% attributable to RSV, for all ages (Table 5). The results using the additive negative binomial model are similar (7.5% attributable to influenza and 3.5% attributable to RSV) and the results from the multiplicative negative binomial model are slightly lower than the additive models (5.6% attributable to influenza and 2.9% attributable to RSV). For the linear model adjusted by lagged monthly sunshine, 6.1% of IPD cases were attributable to influenza and 3.8% attributable to RSV, for all ages (Table 6). The percentage is higher for the additive negative binomial model (9.2% attributable to influenza and 4.1% attributable to RSV) and lower for the multiplicative negative binomial model (5.7% attributable to influenza and 3.4% attributable to RSV). The multiplicative model tends to predict a lower percentage of attributable IPD cases to influenza and RSV in all of the age groups. For RSV, the lowest percentage of attributable cases is in the 0–4 year olds (1–2%, dependent on the model) and the highest percentage is in the 15–64 year olds (15–25%). The percentages of attributable IPD cases increase across all age groups and in all models. The percentage of influenza-attributable cases increased with age from 0 to 6%.