The HPTN 071 (PopART) trial showed that a combination HIV prevention package including universal HIV testing and treatment (UTT) reduced population-level incidence of HIV compared with standard care. However, evidence is scarce on the costs and cost-effectiveness of such an intervention.
In low- and middle-income countries with a high burden of tuberculosis (TB), a large proportion of people who are tested for TB do not return to the health facility to collect their test results and initiate treatment, thus putting themselves at increased risk of adverse outcomes.
In order to address South Africa’s maternal and infant mortality and morbidity rates, patient and community-level preventable factors need to be identified and addressed. However, there are few rigorously implemented and tested studies in low- and middle-income countries that evaluate the impact of community-level interventions on maternal and infant health outcomes.
We present evidence of how researchers from developing countries are represented in three areas of research: conference presentations, articles in journals, and citations. We find that the bulk of research on development and development policies in the South is conducted by researchers from the North.
Trends in socioeconomic-related health inequalities is a particularly pertinent topic in South Africa where years of systematic discrimination under apartheid bequeathed a legacy of inequalities in health outcomes. We use three nationally representative datasets to examine trends in income- and race-related inequalities in life expectancy (LE) and health-adjusted life expectancy (HALE) since the beginning of the millennium.
A report stemming from NIDS-CRAM wave 1, a project consisting of work by a national consortium of 30 social science researchers from five South African universities. The consortium will conduct the National Income Dynamics Study (NIDS) Coronavirus Rapid Mobile Survey (CRAM) over the course of May – December 2020. The NIDS-CRAM project exists to collect, analyze and disseminate data on a broadly representative sample of South African individuals, and to report on their employment and welfare in light of the COVID-19 pandemic.
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