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Background: Few studies have evaluated tuberculosis control in children and adolescents. We used routine tuberculosis surveillance data to quantify age- and human immunodeficiency virus (HIV)-stratified trends over time and investigate the relationship between tuberculosis, HIV, age, and sex., Methods: All children and adolescents (0-19 years) routinely treated for drug-susceptible tuberculosis in South Africa and recorded in a de-duplicated national electronic tuberculosis treatment register (2004-2016) were included. Age- and HIV-stratified tuberculosis case notification rates (CNRs) were calculated in four age bands: 0-4, 5-9, 10-14, and 15-19 years. The association between HIV infection, age, and sex in children and adolescents with tuberculosis was evaluated using multivariable logistic regression., Results: Of 719 400 children and adolescents included, 339 112 (47%) were 0-4 year olds. The overall tuberculosis CNR for 0-19 year olds declined by 54% between 2009 and 2016 (incidence rate ratio [IRR] = 0.46; 95% confidence interval [CI], .45-.47). Trends varied by age and HIV, with the smallest reductions (2013-2016) in HIV-positive 0-4 year olds (IRR = 0.90; 95% CI, .85-.95) and both HIV-positive (IRR = .84; 95% CI, .80-.88) and HIV-negative (IRR = 0.89; 95% CI, .86-.92) 15-19 year olds. Compared with 0- to 4-year-old males, odds of HIV coinfection among 15-19 year olds were nearly twice as high in females (adjusted odds ratio [aOR] = 2.49; 95% CI, 2.38-2.60) than in males (aOR = 1.35; 95% CI, 1.29-1.42)., Conclusions: South Africa's national response to the HIV epidemic has made a substantial contribution to the observed declining trends in tuberculosis CNRs in children and adolescents. The slow decline of tuberculosis CNRs in adolescents and young HIV-positive children is concerning. Understanding how tuberculosis affects children and adolescents beyond conventional age bands and by sex can inform targeted tuberculosis control strategies., (© The Author(s) 2021. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com.)

Traditionally, to map environmental features using remote sensing, practitioners will use training data to develop models on various satellite data sets using a number of classification approaches and use test data to select a single 'best performer' from which the final map is made. We use a combination of an omission/commission plot to evaluate various results and compile a probability map based on consistently strong performing models across a range of standard accuracy measures. We suggest that this easy-to-use approach can be applied in any study using remote sensing to map natural features for management action. We demonstrate this approach using optical remote sensing products of different spatial and spectral resolution to map the endemic and threatened flora of quartz patches in the Knersvlakte, South Africa. Quartz patches can be mapped using either SPOT 5 (used due to its relatively fine spatial resolution) or Landsat8 imagery (used because it is freely accessible and has higher spectral resolution). Of the variety of classification algorithms available, we tested maximum likelihood and support vector machine, and applied these to raw spectral data, the first three PCA summaries of the data, and the standard normalised difference vegetation index. We found that there is no 'one size fits all' solution to the choice of a 'best fit' model (i.e. combination of classification algorithm or data sets), which is in agreement with the literature that classifier performance will vary with data properties. We feel this lends support to our suggestion that rather than the identification of a 'single best' model and a map based on this result alone, a probability map based on the range of consistently top performing models provides a rigorous solution to environmental mapping., (Copyright © 2016 Elsevier Ltd. All rights reserved.)

Background: The objective of this study was to identify risk factors for ongoing community transmission of tuberculosis (TB) in two densely populated urban communities with a high incidence rate of TB in Cape Town, South Africa., Methods: Between 1993 and 1998 DNA fingerprints of mycobacterial isolates from TB patients were determined by restriction fragment length polymorphism (RFLP). Cases whose isolates shared identical fingerprint patterns were considered to belong to the same cluster and to be attributable to ongoing community transmission., Results: The average annual notification rate of new smear positive TB was 238/100000. In all, 1023/1526 reported patients were culture positive, and RFLP was available for 768 (75%) of the isolates from these patients. Since some patients experienced more than one infection during the study period, 797 cases were included in the analysis. Of the cases, 575/797 (72%) were clustered. Smear-positive cases and those who were retreated after default were more likely to be clustered than smear-negative and new cases, respectively. Patients from Uitsig were more often part of large clusters than were patients from Ravensmead. Age, sex, year of diagnosis, and outcome of disease were not risk factors for clustering, nor for being the first case in a cluster, although various analytical approaches were used., Conclusions: The incidence and proportion of cases that are clustered in this area are higher than reported elsewhere. An overwhelming majority of TB cases in this area is attributed to ongoing community transmission, and only very few to reactivation. This may explain the lack of demographic risk factors for clustering.

Setting: In the Cape Town suburbs of Ravensmead and Uitsig, tuberculosis has reached epidemic levels, with notifications of 1340/100,000 in 1996. These suburbs are characterised by overcrowding, high unemployment and poverty. It is traditionally believed that tuberculosis transmission takes place mainly in households after close contact with an infectious person. Studies have recently linked tuberculosis transmission to locations outside the household, and have associated these places with a particular high-risk lifestyle. Anthropological studies in some suburbs of Cape Town, in which a very high number of local drinking places (shebeens) were identified (17 per km2), have suggested that social drinking is part of such a lifestyle., Objective: To investigate various risk factors and places of transmission of tuberculosis using a geographical information system (GIS)., Results and Conclusion: The 1128 bacteriologically-proven cases of tuberculosis studied over the period 1993-1998 were investigated using spatial epidemiological techniques of exploratory disease mapping. Point pattern analysis and spatial statistics indicated clustering of cases in the areas of high incidence. Significant associations of tuberculosis notifications were found with unemployment, overcrowding and number of shebeens per enumerator sub-district. High tuberculosis notifications with unemployment and its associated poverty emerged as the strongest association.

In an ongoing molecular epidemiology study, human immunodeficiency virus-negative patients with first-time pulmonary tuberculosis from a high-incidence community were enrolled. Mycobacterium tuberculosis strains were identified by restriction fragment length polymorphism analysis with two fingerprinting probes. Of 131 patients, 3 (2.3%) were shown to have a mixture of strains in one or two of their serial cultures. This study further investigated these cases with disease caused by multiple M. tuberculosis strains in the context of the molecular epidemiology of the study setting.