Price dynamics of red meat types in South Africa for the period 2013 to 2017.

The agricultural product market is changing from a producer-orientated to a more consumer-orientated market. Consumer rely on the classification system within the red meat types. Different red meat types and carcass classifications influence the prices of red meat. This study was conducted to determine the price dynamics of different red meat carcasses and carcass classes. It was theorised that the different red meat classification classes and number of carcasses sold influence the price and demand of red meats. It was also theorised that specific meat classes have a greater influence on meat prices and demand than others. The results of this study supports the hypothesis that red meat carcass type and specific meat classes within carcass type influence red meat carcass prices. There is a differentiation among classes in terms of the degree to which class influences price, since classes were identified that had no influence on price dynamics of other meat types.

Emergence and diversity of different HIV-1 subtypes in South Africa, 2000-2001.

HIV-1 is a major health problem in South Africa with an average prevalence rate of 29.1% in pregnant women and between 4.9 and 6.1 million people infected. Using env gp120 V3 serotyping and genotyping techniques 410 patient samples were investigated. Most of the samples were obtained from different clinics in the greater Cape Town area of the Western Cape Province in South Africa. These included an academic hospital, state and private clinics, an informal settlement, sex worker cohorts, and the blood transfusion services. RNA was extracted from plasma samples followed by RT-PCR and sequencing of the env gp120 V3 region. Sequence fragments were assembled using Sequencher V4.7 and subsequently codon aligned. Distance calculation, tree construction methods, and bootstrap analysis were implemented using MEGA version 4.0. Viral load measurements indicated that HIV-1 RNA levels from 74 samples were below the assay detection limit. Three hundred thirty-six samples were used for env PCR and sequencing and 320 were assigned to subtypes. The majority of the sequences were subtyped as C (n = 285, 89.0%). Other subtypes detected were subtype A (n = 10, 3.1%); subtype B (n = 22, 6.8%); one each of subtypes F1, G, U, and a CH recombinant. Whether this diversity will have major implications for HIV-1 evolution and vaccine development in this region remains undetermined.

Serotyping and genotyping of HIV-1 infection in residents of Khayelitsha, Cape Town, South Africa.

It is estimated that between 5.5 and 6.1 million people are infected with HIV/acquired immunodeficiency syndrome (AIDS) in South Africa, with subtype C responsible for the majority of these infections. The Khayelitsha suburb of Cape Town has one of the highest HIV prevalence rates in South Africa. Overcrowding combined with unemployment and crime in parts of the area perpetuates high-risk sexual behavior, which increases exposure to infection by HIV. Against this background, the objective of this study was to characterize HIV-1 in residents confirmed to be seropositive. Serotyping was performed through a competitive enzyme-linked immunosorbent assay (cPEIA). Genotyping methods included RNA isolation followed by RT-PCR and sequencing of the gag p24, env gp41 immunodominant region (IDR), and env gp120 V3 genome regions of HIV-1. With the exception of a possible C/D recombinant strain, all HIV-1 strains were characterized as HIV-1 group M subtype C. One individual was shown to harbor multiple strains of HIV-1 subtype C. In Southern Africa, the focus has been to develop a subtype C candidate vaccine, as this is the major subtype found in this geographical area. Therefore, the spread of HIV-1 and its recombinant strains needs to be monitored closely.

Social research as an intervention tool in tuberculosis control.

Our multidisciplinary project on TB control in the Free State, South Africa, is targeting two dimensions for intervention: firstly, patients, to facilitate compliance and improve quality of care; secondly, the health care system, to identify weaknesses that require remedying and best practices to promote better TB control. This communication illustrates how social scientists can contribute towards the implementation of interventions related to their research, thus influencing TB policy, programme planning and practice more directly.