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Background: Adolescents are at increased risk of HIV infection compared to other age groups. There is an urgent need for strategic information that will inform programmes to reduce risk and vulnerability to HIV and reverse the pattern of increasing HIV infection as they transition to adulthood. This paper analysed trends and factors associated with HIV prevalence among adolescents in South Africa using the national HIV population-based household surveys conducted in 2008, 2012 and 2017. Methods: All three surveys used a multistage cross-sectional design. A trend analysis was conducted to assess the differences in HIV prevalence and covariates overtime using P-trend Chi-squared statistic. Univariate and multivariate logistic regression models were used to determine factors associated with HIV prevalence. Results: Overall there was a significant increase in HIV prevalence among adolescents aged 12–19 years from 3.0% (n = 2892) in 2008 to 3.2% (n = 4829) in 2012 and 4.1% (n = 3937) in 2017 (p = 0.031). The odds of being HIV positive among adolescents aged 12–19 years was significantly higher among females [AOR = 2.24; 95% CI (1.73–2.91); p < 0.001] than males, those residing in KwaZulu-Natal province [AOR = 2.01; 95% CI (1.-3.99); p = 0.027] than Northern Cape, and those who did not attend an educational institution and were unemployed [AOR = 2.66; 95% CI (1.91–3.67); p < 0.001] compared to those attending an educational institution. The odds were significantly lower among Whites [AOR = 0.29; 95% CI (0.09–0.93); p = 0.037], Coloureds [AOR = 0.21; 95% CI (0.11–0.37); p ≤ 0.001] and Indian/Asian [AOR = 0.08; 95% CI (0.02–0.34); p = 0.001] population groups than Black Africans. Conclusion: The observed increasing trend and gender disparities in HIV prevalence suggests an urgent need for age appropriate and gender specific HIV interventions tailored and targeted at identified drivers of HIV infection among adolescents. [ABSTRACT FROM AUTHOR]

This paper examines whether tobacco expenditure leads to the crowding out or crowding in of different expenditure items in South Africa. We apply genetic matching to expenditure quartiles of the 2010/2011 South African Income and Expenditure Survey. Genetic matching is a more appealing approach for dealing with the endogeneity of tobacco expenditure that often plagues studies using systems of demand equations. Further, genetic matching provides transparent measures of covariate balance giving the analyst objective means of assessing match success. We find that the poorest tobacco consuming households in South Africa consistently allocate smaller budget shares towards food items than non-smoking households. Specifically, we find that dairy, fruits, nuts and oils are displaced in favour of tobacco expenditure in the two poorest quartiles. Unsurprisingly, food items are never displaced for households in the top two quartiles, given these households’ greater access to resources. Like other studies in the literature, we find that tobacco expenditure consistently crowds-in alcohol across all quartiles confirming the strong complementarities between the two. [ABSTRACT FROM AUTHOR]

Algebra is a key course in the secondary mathematics curriculum. As a prerequisite for post-secondary mathematics, science and engineering courses, it is considered a gateway course. Since mathematical knowledge for teaching involves more than content knowledge algebra, teachers must be able to do more than successfully complete algebraic problems. They should understand algebra deeply and flexibly so that they are able to mediate students’ ideas, make choices about representations of content and modify curriculum materials. Yet, little is known about how certain groups view algebra and its teaching. In order to determine the beliefs held by a group of South African mathematics teachers with historically disadvantaged backgrounds teaching in schools that were previously segregated through Apartheid, this paper reports on what the group felt are the most important features of algebra. [ABSTRACT FROM PUBLISHER]