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Research Article

Rubella seroprevalence using residual samples from the South African measles surveillance program: a cross-sectional analytic study

ORCID Icon, , , , , ORCID Icon & ORCID Icon show all
Pages 2656-2662 | Received 23 Dec 2019, Accepted 01 Mar 2020, Published online: 16 Apr 2020

Figures & data

Table 1. Demographic characteristics of samples included from 2016 through 2018 (N = 6216)

Figure 1. Results of rubella IgG testing by age in years for records with known age (n=6021)

Figure 1. Results of rubella IgG testing by age in years for records with known age (n=6021)

Figure 2. Proportion of rubella susceptible (IgG negative) individuals among males and females. Error bars represent 99% confidence intervals

Figure 2. Proportion of rubella susceptible (IgG negative) individuals among males and females. Error bars represent 99% confidence intervals

Figure 3. Proportion of rubella susceptible (IgG negative) individuals in each age group among males and females

Figure 3. Proportion of rubella susceptible (IgG negative) individuals in each age group among males and females

Figure 4. Proportion of rubella susceptible (IgG negative) individuals for each province. Error bars represent 99% confidence intervals

* WCP= Western Cape Province, KZP= KwaZulu-Natal Province, ECP= Eastern Cape Province, LP= Limpopo Province, NCP= Northern Cape Province, MP= Mpumalanga Province, FSP= Free State Province, GP= Gauteng Province, NWP= North West Province
Figure 4. Proportion of rubella susceptible (IgG negative) individuals for each province. Error bars represent 99% confidence intervals

Figure 5. Proportion of rubella susceptible (IgG negative) individuals by age group. Error bars represent 99% confidence intervals

Figure 5. Proportion of rubella susceptible (IgG negative) individuals by age group. Error bars represent 99% confidence intervals

Table 2. Unadjusted and adjusted logistic regression analyses

Supplemental material

Supplemental Material

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