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Appraising South African residential property and measuring price developments.
(2022)Housing wealth is well established as one of the most important sources of wealth for households and investors. However, owning a home is a fundamental human need, making monitoring residential property prices a social ... -
Longitudinal clinical covariates influence on CD4+ cell count after seroconversion.
(2019)The Acquired Immunodeficiency Syndrome (AIDS) pandemic is a global challenge. The human immunodeficiency virus (HIV) is notoriously known for weakening the immune system and opening channels for opportunistic infections. ... -
Statistical methods for causal inference in observational studies.
(2020)Estimating causal effects is essential in the evaluation of a treatment or intervention. It is particularly straightforward for well-designed experiments. However, when the treatment assignment is complicated by confounders, ... -
Statistical modeling of acute HIV infection from a cohort of high-risk individuals in South Africa.
(2022)In this dissertation, longitudinal data modeling approaches to analyze data on CD4 cell counts measured repeatedly in HIV-infected patients enrolled in the Centre for the AIDS Programme of Research in South Africa are ... -
Concepts for the construction of confidence intervals for measuring stability after hallux vulgus surgery: theoretical development and application.
(2021)The absolute change in the corrected angle measured immediately after surgery and after bone healing is a clinically relevant endpoint to judge an osteotomy's stability. The primary objective of this research is to ... -
Flexible statistical modelling of the determinants of childhood anaemia in Tanzania and Angola.
(2020)Anaemia is one of the major causes of morbidity and mortality in children aged five or less in Africa, affecting 25% of the world’s population. In developing countries, it accounts for more than 89% of the disease burden. ... -
Modelling tuberculosis risk factors among adult men in South Africa.
(2021)Tuberculosis is among the major public health problems not only in South Africa but worldwide. Tuberculosis is an underlying cause of more than 1.5 million deaths each year worldwide, making it the world's top infectious ... -
Flexible statistical modeling of childhood malnutrition in Malawi.
(2019)Childhood malnutrition is one of the most significant health problems affecting public health departments, mainly in developing countries. The development of proper assessment of malnutrition is one of the challenges ... -
Modelling poverty in Zimbabwe based on the demographic health survey dataset using GLMs and GAMMs.
(2020)Zimbabwe has been in a state of political, economic, and social crisis for the past 15 years. In 2004, 80% of Zimbabweans were living below the national poverty line. By January 2009, only 6% of the population held jobs ... -
Statistical and deep learning methods for cancer genomic data.
(2021)Statistical and machine learning methods have been applied in broad domains including the medical field. These methods have a massive impact on healthcare by providing the support for decision making to the specialist ... -
Factors affecting child mortality in Lesotho using 2009 and 2014 LDHS data.
(2021)Child mortality rate is known to be the important indicator of social development, quality of life, welfare as well as the overall health of the society. In most countries, especially the developing countries; the death ... -
Risk factors associated with and factors that influence intimate partner violence. A case study of sub-Saharan regions.
(2021)The reduction of intimate partner violence is critical to most societies' well-being and posterity, and for policymakers. However, in most cases, coming up with an accurate, intimate partner violence evaluation tool that ... -
Joint predictors of preterm birth and perinatal death among singleton births at a zonal referral hospital in northern Tanzania: a birth registry based study from 2000 to 2017.
(2021)Background: Globally, preterm birth (births before 37 completed weeks of gestational) contributes to under-five and newborn deaths. Tanzania ranks the tenth country with the highest preterm birth rates globally and shares ... -
Estimating the size of the underground economy in South Africa using the Multiple Indicators Multiple Cause Model (MIMIC) and the Currency Demand Approach (CDA).
(2021)The underground economy is a major challenge across the world affecting both developed and developing economies. South Africa is no exception to this phenomenon and has lost billions of rands due to the underground economy. ... -
Modelling South African official gold reserves position, and foreign exchange reserves position using time series models.
(2020)Every central bank of the country should hold enough reserves such as foreign exchange currency, gold, or any form of reserves to be able to help its country in times of difficulties or financial crises. This involves the ... -
Some statistical methods in analysis of single and multiple events with application to infant mortality data.
(2020)The time to event analysis or survival analysis aims at making inferences on the time elapsed between the recruitment of subjects or the onset of observations, until the occurrence of some event of interest. Methods used ... -
Modelling and forecasting the costs of attending to electricity faults using univariate and multivariate time series forecasting models.
(2018)Electricity price forecasting has turned into a very essential element for both public and private decision making. Both shortage of supply of electricity and electricity cost still remains the country’s most biggest ... -
Statistical models to determine factors affecting under-five child mortality in South Africa.
(2020)The level of under-five child mortality is an important indicator of economic, social and health development of the nation. In the last two decades, substantial progress has been made in improving under-five child mortality ... -
Integrating artificial neural networks, simulation and optimisation techniques in improving public emergency ambulance preparedness for heterogeneous regions under stochastic environments.
(2021)The Bulawayo Emergency Medical Services (BEMS) department continues to rely on judgemental methods with limited use of historical data for future predictions, strategic, tactical and operational level decision making. ... -
Classification of banking clients according to their loan default status using machine learning algorithms.
(2022)Loan lending has become crucial for both individuals and companies. For lending institutions, although profitable, it can be very risky due to clients defaulting on their loan agreement. Credit risk assessment is a critical ...
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