Summary of the serological datasets collected before the introduction of vaccination which were used to estimate the global burden of CRS.

<p>Summary of the serological datasets collected before the introduction of vaccination which were used to estimate the global burden of CRS.</p

Examples of the fit of catalytic models to the data sets.

<p>Comparison between model predictions of the percentage susceptible and the percentage seronegative to rubella obtained using the four types of catalytic model (denoted by the lines labelled A, B, C and D), and that observed in various settings. The crosses show the observed percentage seronegative together with 95% (exact) confidence intervals.</p

Estimates of the number of CRS cases per 100,000 live births among women aged 15–44 years obtained using datasets from countries in which RCV had not been introduced at the time of collection.

<p>The red bars reflect countries which had not introduced RCV by 2010; the white bars indicate countries which had introduced RCV by 2010. The estimates have been weighted by the number of live births in the corresponding country in 2010. Labels on the x-axis denote the year of data collection; uncertain dates of collection are indicated using a question mark. The countries are grouped by WHO regions (AFRO = African, EMRO = Eastern Mediterranean, SEARO = South East Asian, WPRO = Western Pacific).</p

The median CRS incidence per 100,000 live births and number of CRS cases born in each WHO region and worldwide in 1996, 2000 and 2010 and the percentage of the regional birth cohort living in countries which had introduced RCV by these years.

<p>The median CRS incidence per 100,000 live births and number of CRS cases born in each WHO region and worldwide in 1996, 2000 and 2010 and the percentage of the regional birth cohort living in countries which had introduced RCV by these years.</p

Estimates of the median incidence of CRS per 100,000 live births by country in 2010.

<p>Estimates of the median incidence of CRS per 100,000 live births by country in 2010.</p

Literature search strategy and inclusion criteria for datasets.

<p>Literature search strategy and inclusion criteria for datasets.</p

Results of the literature search for age-specific serological data collected before the introduction of rubella vaccination.

<p>Results of the literature search for age-specific serological data collected before the introduction of rubella vaccination.</p

Summary of the catalytic models used in the analyses of serological data.

<p>Note that the lower case letter “<i>a</i>” in the equations below refers to the single year band, whereas “<i>A</i>” (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0149160#pone.0149160.e001" target="_blank">Eq 1</a> in the main text) refers to those in the age group of interest, <i>A</i>.</p

Examples of the results obtained by fitting the catalytic models to data.

<p>The best-fitting values for the force of infection and (where appropriate) the sensitivity of the antibody assay, and the CRS incidence per 100,000 live births for each catalytic model The values in parentheses reflect the 95% confidence intervals, obtained by bootstrapping. To facilitate comparisons, the infection and CRS incidence is not weighted by the number of live births.</p