School of Statistics and Planning (SSP) Collection
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ItemFactors associated with malaria prevalence among children aged 0–5 years in Karamoja Region(Makerere University, 2026)This study aimed at understanding and assessing the different socio-economic, malaria, and health-related factors influencing malaria prevalence among children aged 0–5 years in the Karamoja region. The study used the 2016 UDHS children dataset for children aged 0–5 years. The analysis focused on 247 children to whom the children’s questionnaire was administered. Frequencies and p-values were used to determine the relationship between malaria prevalence and socio-economic, malaria, and health-related factors. According to the results of the study, approximately 72.3% of the respondents had not attended any education, while 0.6% attended higher education as required by the health standards. In the Karamoja region, floor material, bicycle ownership, and electricity were the most important determinants influencing malaria prevalence among children aged 0–5 years. However, the study recommends strengthening the provision of information, use of mosquito bed nets, wearing clothes that cover most of the body, use of insect repellent, and staying in air-conditioned or well-screened areas. These measures would help reduce the prevalence of malaria among children aged 0–5 years.
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ItemA pricing and profit testing model for, a unit-linked endowment insurance plan for fishermen(Makerere University, 2025)The main objective of this project was to develop a pricing and profit testing model for a unit linked insurance plan tailored for fishermen that would pay out money if a fisherman becomes permanently disabled, dies, decides to stop the plan early, or lives until the plan ends. It also helps them save and invest their money for the future. other objectives were to come up with a profitable product and designing a python program that automates the pricing and profit testing for various ages and policy terms. The model has three decrements of death, permanent disability and surrender. Microsoft excel was first used to develop the pricing and profit testing model for a 20-year-old male and female life for a six-year term. The procedure was the transferred to python 3.13.3 thus coming up with a menu driven program that performs the pricing and profit testing for various ages and policy terms. The Kenyan mortality and disability tables and several assumptions and formulae were used to develop the model. The principle of equivalence and goal seek function in excel was used to come up with the exact premiums. Sensitivity analysis was then done on some assumptions for example the interest rate, inflation rate to examine the effect of the changes in the assumptions on the premiums and profit margins of the model. The results show that for a 20-year-old male life buying a 6-year plan with 9 million Ugandan shillings of coverage, the yearly payment will be Ugx 1009432.108 while for a female it is Ugx 1008166.678. The plan's profit margins (how much money the insurance company would make) varied, generally between about 3% and 14%, depending on the policy length and the person's age and gender. Premiums were noticed to be lower for longer plans but higher for older people. On the other hand, profits were usually better for longer plans but lower for older people. Sensitivity analysis also showed that how much the plan costs to set up (initial expenses) had the biggest effect on profits, while changes in death rates had the biggest effect on the premiums. This special insurance plan can really help Ugandan fishermen become more financially secure. It gives them both protection against risks and a way to build wealth. This approach could be used for other similar communities and help more people in Uganda get access to insurance
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ItemThe impact of financial regulations on market stability of coffee and tea in Uganda, a case study of greater Bushenyi.(Makerere University, 2024)This study investigated the impact of financial regulations on the market stability of coffee and tea in Uganda, focusing on Greater Bushenyi. The research examined the influence of these regulations on pricing mechanisms, accessibility to credit, and infrastructural challenges while proposing actionable solutions for market stabilization. Data collected from 100 respondents comprising farmers, financial institutions, and government stakeholders revealed that financial regulations moderately influence market stability, with challenges in credit access and infrastructural deficits persisting. Price volatility persists, with 55% of respondents describing prices as unstable. A chi-square analysis indicated no significant relationship between price stability and the perceived impact of regulations. Recommendations include simplifying regulatory frameworks, enhancing infrastructure, tailoring credit facilities, and fostering financial literacy to improve market resilience and empower smallholder farmers.
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ItemFactors influencing successful family planning among women aged 15-49 years seeking health services in Ankole Region, Uganda(Makerere University, 2018)The study aimed at finding the factors the factors influencing successful family planning among women aged 15-49 years seeking services in Uganda. In particular to find out the biodemographic factors (age, religion, marital status and education), current use of plan planning methods, factors influencing successful family planning and modern methods of family planning among women aged 15-49 years seeking services in Uganda. The study used secondary data from the basing on the Uganda Demographic and Health Survey 2016 (DHS). The study focused on women and men aged 15-49 years that took part in the UDHS Indicator Survey as participants in the selected households. These took part in providing answers family planning especially on a conscious effort by a couple to limit or space the number of children they have through the use of modern family planning methods. The study found out that about 6 respondents in 10 were under age 30, reflecting the young age structure of the population. The majority of respondents are Catholic (40% of women and men) or Anglican (31% of women and 33% of men), while 13% of women and 14% of men are Muslim. One in four women (26%) and two in five men (41%) have never married. Women are more likely to be married or living together with a partner (i.e., in union) than men (61% and 54%, respectively). Women are also more likely than men to report being divorced or separated (11% and 5%, respectively). Three 3% of women reported being widowed, as compared with less than 1% of men. The study recommends that Integration of family planning services in sexual and reproductive health, most especially in health centres and immediately after delivery before mothers are discharged is critical in order to improve family planning uptake. The UDHS should provide a policy framework on provision of postpartum family planning services to guide health workers in quality service provision. To ensure increased family planning uptake strategies should be put in place that promote improved awareness about the available family planning services, their possible side effects and benefits among the general population, but especially for women in the reproductive age group in rural areas.
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