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Meat inspection is the routine method used to identify cattle infected with Taenia saginata; however, the sensitivity of this method is low. We investigated the prevalence of T. saginata infection in cattle slaughtered in low throughput abattoirs (LTs) in Gauteng province, South Africa, based on meat inspection and serology. A total of 188 cattle carcasses from three abattoirs underwent meat inspection for the presence of T. saginata cysticerci, while serum was tested for the occurrence of antigens using antigen enzyme-linked immunosorbent assay (Ag-ELISA). Polymerase chain reaction (PCR)-sequencing was performed to confirm T. saginata cysts identified during enhanced inspection and incision of 10 randomly selected hearts. Apparent and true prevalence were calculated, and a logistic regression model was fit to evaluate associations between abattoir, sex, animal origin, age and T. saginata serological status. Out of the 188 carcasses, no positive cases (0%) were identified during routine meat inspection, yet three cysticerci-like lesions were identified from three hearts following additional incisions, of which one was confirmed as T. saginata. Fifty-four of the sampled cattle carcasses tested positive using Ag-ELISA (apparent and true prevalence: 29.0%, 71.8%). Feedlot cattle were less likely (odds ratios [OR]: 0.33, p = 0.043) to have a positive serological test result for T. saginata compared to non-feedlot cattle, and the odds of a positive result differed between abattoirs (p < 0.05).ContributionOur results confirmed the low sensitivity of routine meat inspection in LTs, which may pose a public health risk, and therefore other diagnostic methods need to be included in the surveillance system for T. saginata.

This study quantifies and analyses quality of life in the Gauteng City-Region of South Africa. First we adapt and extend a method used in research on market regulations to construct composite indices to the field of quality of life. In the adapted method we employ categorical principal components analysis suitable for the analysis of categorical data typically used in quality of life research. The newly constructed index is a comprehensive quality of life index, which includes objective and subjective as well as economic and noneconomic indicators. This is the first composite index of its kind in South Africa. Second, this index is used to compare the quality of life of different demographic and socioeconomic groups in the region. The quality of life scores of Africans, low income, female, older and urban informal dwellers are relatively low. Third, the explained variance of the dimensions of quality of life is compared across groups. The dimensions ‘housing and infrastructure’ and ‘social relationships’ explained the most variance for groups with lower and higher quality of life scores respectively. The results shed light on quality of life in this region, including the great unevenness of well-being. The study provides a basis for the measurement and analysis of quality of life in other regions and countries.

In the last 30 years of democracy, the focus has been on delivering basic services to households. Yet there are larger infrastructure challenges faced at a local level, including rising dissatisfaction regarding the quality of services delivered. Insights generated from ongoing discussions on Gauteng's energy and water landscape indicate that, central to the service delivery discourse, delivering services goes beyond mere physical access. Using household survey data for Gauteng, we show it is necessary to make services more affordable and reliable, emphasising the need for innovation, inclusion, and placing equitable distribution at the core of infrastructural and service delivery planning.

Urbanisation in South Africa has led to a nutritional transition from traditional diets (mainly based on indigenous foods) to a Western diet. Currently, the country is one of the most concerned about the prevalence of associated malnutrition and non-communicable diseases. One should, therefore, question the position of indigenous foods (IFs) in the population’s eating habits since their nutritional and health value is known. This study aimed to collect updated data on South Africans’ true awareness and consumption of indigenous foods, especially in the Gauteng region (the most urbanised province of the country). A quantitative cross-sectional research survey was conducted (n = 746). Among a list of 18 IFs, grain sorghum 32.4% (n = 242), marula 32% (n = 239), pearl millet 21.7% (n = 162), amadumbe 19.3% (n = 144) and cowpea 18.6% (n = 139) were the best known. However, the study noticed a maximum consumption of 19.3% (grain sorghum). Overall, this consumption was seasonal, and its level was significantly defined by race (p < 0.05). Black people consume more IFs compared to coloured people, Indian people and white people. Participants mostly consumed these foods for nutritional and health reasons and pointed out the problem of availability. “Poor image” was rated the lowest by all races (black 5.8%, coloured 4.2%, Indian 7.0% and white 4.1%) regarding the reasons for no or low consumption of IFs. Whatever the race, the desire to increase IF consumption was positive. The promotion of their integration into South African diets should, therefore, be considered as an intervention strategy.

This book offers an exploration into the interconnections between career success and religiosity as it examines the role of Pentecostal Charismatic Christianity in the work experiences of young, professional, black women who are becoming part of the post-apartheid South African middle class.

This paper estimates a Multidimensional Poverty Index for Gauteng province of South Africa. The Alkire–Forster method is applied on Quality of Life survey data for 2011 and 2013 which offer an excellent opportunity for estimating poverty at smaller geographical areas. The results suggest that the Multidimensional Poverty Index for Gauteng is low but varies markedly by municipality and by ward, as well as across income groups. Not only are low income households more likely to be multidimensionally poor, they also suffer from higher intensities of poverty. Multidimensional poverty is highest in areas of low economic activity located on the edges of the province. However, pockets of multidimensional poverty do prevail even in better performing municipalities. Government, at all spheres, needs to devise policies that channel investments into lagging areas and avoid approaches that are indifferent to the heterogeneities that exist across localised geographical extents.

The use of multiple-locus variable-number analysis (MLVA) of tandem repeats (TRs) for subtyping Listeria monocytogenes has proven to be reliable and fast. This study determined the MLVA genotypes of 60 isolates of L. monocytogenes recovered from cattle farms, abattoirs, and retail outlets in Gauteng province, South Africa. The distribution of the 60 L. monocytogenes isolates analyzed by type of sample was as follows: raw beef (28, 46.7%), ready-to-eat beef products (9, 15.0%), beef carcass swabs (9, 15.0%), cattle environment (6, 10.0%), and cattle feces (8, 13.3%). The serogroups of the isolates were determined using PCR and the MLVA genotypes based on six selected loci. The frequency of the 60 serogroups detected was as follows: 1/2a-3a (IIa) (27, 45.0%); 4b-4d-4e (1Vb) (24, 40.0%); 1/2c-3c (IIc) (8, 13.3%); and 1/2b-3b (IIb) (1, 1.7%). MLVA successfully clustered genetically related isolates and differentiated nonrelated isolates, irrespective of their sources, sample types, and serogroups, as demonstrated by 16 MLVA pattern types detected. For serogroup 4b-4d-4e (IVb), there was no variation in TRs LM-TR2, LM-TR4, and LM-TR6, which each contained only one allele (02, 00, and 93, respectively). However, across the sources and sample types of isolates, there was variation in serogroup 4b-4d-4e (IVb): LM-TR1 contained 00, 03, and 05; LM-TR3 contained 14, 20, and 22; and LM-TR5 contained 14, 21, and 25. Similar patterns of variation in the TRs were detected in the other serogroups (1/2a-3a, 1/2b-3b, and 1/2c-3c). BioNumeric data analysis identified at least five types in Gauteng province. MLVA epidemiologically clustered the related isolates and differentiated unrelated isolates.

Salmonella has been linked to many foodborne illnesses and epidemics in both humans and animals. This cross-sectional study determined the prevalence, serovars, and factors associated with Salmonella contamination of chickens slaughtered in informal market outlets in Gauteng Province, South Africa. A total of 151 chicken carcasses were randomly collected from 47 outlets. Standard bacteriological and molecular methods were used to isolate, identify, and determine the serovar of Salmonella isolates. The prevalence of Salmonella in carcass swabs, cloacal swabs, and carcass drips was 29.1% (44 of 151), 27.2% (41 of 151), and 43.7% (66 of 151), respectively, and the differences were statistically significant (P = 0.004). Only 5 (township locations of outlet, throughput, carcass evisceration, location of carcass for sale, and outlet sanitation) of 10 factors investigated for the contamination of carcasses by Salmonella were statistically significantly (P < 0.05) associated with the isolation of Salmonella. Of the 268 isolates of Salmonella, 157 (58.6%) were typeable using a limited molecular PCR technique, and nine serovars were identified. The predominant Salmonella enterica serovars were Bovismorbificans (31.0%), Enteritidis (7.5%), and Hadar (6.7%). The five important factors found to be significantly associated with the isolation of Salmonella at these outlets offer opportunities for the reduction of Salmonella contamination. There is a need for further investigation of the probable causes of the predominant isolation of Salmonella serovar Bovismorbificans in chickens and its potential implications for human infections in South Africa. It is concluded that chickens purchased from the informal market in Gauteng Province can be a source for salmonellosis in humans if improperly cooked before consumption. •Salmonella prevalence was 29.1% in carcass swabs, 43.7% in cloacal swabs, and 27.2% in chicken drips.•Top three Salmonella serovars were Bovismorbificans (31.0%), Enteritidis (7.5%), and Hadar (6.7%).•5 of 10 investigated factors had statistically significant association with Salmonella isolation.•Chickens from informal outlets can be a source of salmonellosis in humans.

In environment-nature discourse, determinants of environmental perceptions and attitudes vary significantly making it difficult to draw generalisations on their significance for particular locales. In this paper, we explore the key socio-demographic factors affecting environmental perceptions and attitudes for a socio-economically diverse area of Gauteng province, South Africa, using a generalised ordered logit model (gologit) approach. Personal level variables like gender, education level, employment status, age, population group, migration status and external variables such as dwelling type and electricity availability, obtained through a questionnaire, were assessed as determinants of environmental perceptions and attitudes. Statistical results indicated that dwelling type, gender, education level, place of birth and employment status were strong determinants of environmental attitudes. Population group (Coloured and White), dwelling type, electricity availability, employment status and education level (from primary only up to matric) were found to be significant predictors of environmental perceptions. Education level, dwelling type and employment status were therefore the common explanatory variables from the analysis, giving prominence to material values that people attach to environmental attitudes and perceptions. Age had no influence on both environmental perceptions and attitudes. The results from this article can provide a foundation for segmentation of anthropocentric factors for environmental planning and strategy formulation within the province.