14 research outputs found

    Rainfall variability over western and southwestern Tanzania : the monsoon and potential Indian and Atlantic Ocean influences

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    Includes bibliography

    Assessment Of Quality Management Practices At Transnet Engineering Locomotive Maintenance Depot, Bloemfontein

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    DissertationThe aim of this study was to assess the Quality Management Practices employed at Transnet Engineering Locomotive (TE) Maintenance in Bloemfontein, Free State regarding the quality of services rendered to clients. TE is where locomotives for Transnet Freight Rail, an internal customer, are repaired and serviced. The study aimed at contributing to efficient and effective quality transport service operations at Transnet through improved internal quality services. To achieve this, the study had to assess the efficiency and effectiveness of the current Quality Management Practices at TE and propose remedial measures for improvement. A qualitative approach with structured interview questionnaire consisting of open-ended questions was used to collect data. The target population for data collection consisted of 50 employees at TE. A sample of 9 was selected from the population by applying non-probability sampling known as judgemental sampling also known as purposive sampling. The collected data was analysed using a qualitative method called framework analysis. Appropriate steps for data analysis in respect of framework analysis were used to arrive at the research findings. It is important for any organisation to use a Quality Management System (QMS) effectively and ensure compliance with quality standards. Although TE has adopted and implemented ISO 9001:2008 to aid quality management, the study found that TE encountered challenges in the process. These challenges include negative attitude, lack of appropriate skills, poor workmanship and unsustainable practices. Based on these findings, it was recommended that ISO 9001:2008 Quality Management Systems should not just be used as a marketing tool for policy at TE but applied as practical and sustainable quality management system for quality service outcomes. It was also recommended that the identified challenges that inhibited the effective use of ISO 9001:2008 which raised concerns, be investigated further

    The local response of El Niño events and changing disease distribution in Tanzania

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    Climate is a key determinant of a number of disease pathogen lifecycles and disease transmission processes, particularly within tropical climates such as that experienced in Tanzania. Over recent decades, climate-related diseases such as malaria, chikungunya and bacterial meningitis have shown notable changes in their spatial distribution, with instances of both re-emergence and expansion beyond previously known boundaries being recorded. The unpredicted change in disease distribution already experienced in Tanzania has placed a significant burden on health systems and available resources, and whilst a number of factors are involved, climate remains the least understood aspect within epidemiological changes. Here we examine how climate extremes – particularly El Niño events – influence key environmental and climatic elements which promote epidemiological expansion. This study investigates the baseline climatology in five of Tanzania’s varying climatological regions using the Met Office MIDAS dataset for the period 1985–1995. Its aim is to characterise the average climate and investigate the impacts of El Niño on the climatology of these regions, and to explore associated changes in disease distribution to allow identification, in the present, of changes which are anticipated to occur in the future to be put into context. The years 1997 and 2015 are used to examine the climate extremes imposed by El Niño events through statistical comparison methods. The results demonstrate that average climate conditions vary beyond previously documented observations, with each region of Tanzania responding differently to the onset of El Niño, thus potentially promoting a spatially variable disease response. These results are particularly marked for areas of greater climatic and environmental sensitivity within Tanzania. Once further understood, knowledge of this relationship could be applied to more local analysis and aid in predicting future outbreaks within Tanzania

    African hydroclimatic variability during the last 2000 years

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