Dissertations ( Master's) (CSS)

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    Development of a web-based information system for managing allocation of public primary school teachers in Tanzania
    (Mzumbe University, 2017) Fidel, Nobert
    A study was conducted to find out the imbalanced allocation of public primary school teachers in Ilala Municipal, Dar-es-salaam. A total of 5 primary school head teachers and 6 education officers from MoEVT, PORALG, and Ilala Municipal were purposefully selected for the study. Case study research design and qualitative method were employed. Data were collected through interviews and documentary reviews and were analyzed qualitatively using content analysis. The results of the study revealed that the allocation of public primary school teachers in Ilala Municipal does not consider Pupil-Teacher Ratio (PTR), gender, or disability. Usually, they allocate teachers based on the requirements of teachers for a particular school, and sometimes they consider criteria such as marriage and diseases (e.g., HIV) when allocating teachers. The results also showed that some schools have many pupils with large class sizes and few teachers, while other schools have few pupils with small class sizes and many teachers, which results in a higher Pupil-Teacher Ratio (PTR) in some schools and low in other schools. Based on the results found, a web-based information system for managing the allocation of public primary school teachers was designed and developed using prototyping methodology. The system was able to perform an automatic, balanced allocation of teachers to all schools when the names of new teachers were entered into the system. The allocation was based on criteria such as PTR, gender, disability, and school location (village-based schools or urban-based schools), hence removing the imbalanced allocation of primary school teachers that used to be done before. If this developed system is used effectively by PORALG who are responsible for teachers’ allocation, it will help them remove the imbalanced allocation of teachers in all schools, facilitating easy learning for pupils and enhancing their performance.
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    Monitoring spread of epidemic diseases by using clinical data from multiple hospitals: A data warehouse approach
    (NM-AIST, 2020) Rutatola, Edgar P.
    Many countries apply data science techniques to enhance their health sectors and the surveillance of diseases. The success of the innovations lies on the availability and quality of datasets to be analyzed. In Tanzania, while different Hospital Management Information Systems (HoMIS) like the Government of Tanzania Hospital Management Information System (GoT HoMIS) are installed in various hospitals, the data stored in the systems are not integrated. This causes unavailability of high quality, timely, anonymous, harmonized, and integrated datasets that can be shared and exhaustively analyzed for epidemic diseases surveillance. This study intended to develop a data warehouse to host patients’ demographic and clinical particulars essential for epidemic diseases surveillance from a multi-node GoT-HoMIS, and yield an integrated dataset that can be used for epidemic diseases surveillance. Interviews were conducted in three strategic health facilities and the Ministry responsible for Health in Tanzania. Documents were reviewed, and observation done on the patient’s registration process in the GoT-HoMIS. Thereafter, a data warehouse was developed to run under MariaDB database server, and using Hypertext Preprocessor an Extract, Transform, and Load (ETL) module was developed. The ETL module was deployed at six health facilities, and the resulting integrated dataset of 152 104 facts was visualized by using FusionCharts libraries. The study demonstrates a novel means to extract data straight from the GoT-HoMIS nodes, which has the potential to make available and provide timely data and integrated reports for decision-making on epidemics. By scaling the innovation to other health facilities, epidemics surveillance can be significantly enhanced