Joseph Nzabanita

Joseph Nzabanita
University of Rwanda

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24
Publications
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83
Citations

Publications

Publications (24)
Article
Full-text available
This study uses the Hamiltonian Monte Carlo (HMC) and Gibbs methods to predict of Hypertension, Tobacco use, Overweight and Obesity. The methods were applied on data from World Health Organization report 2015. Corresponding stochastic matrices were generated and utilized in the prediction and comparison of the two sampling methods. Using Python and...
Article
Objectives: Children younger than 5 years and women, especially pregnant women, are at high risk of malaria and death because of their weak immunity and exposure to mosquitoes. Several studies have considered only the age-structured model and other factors but have not considered sex. The objective of this work is to develop and analyze the malaria...
Article
Full-text available
Objective To assess the level of compliance with COVID-19 preventive measures and compliance-associated factors in the Rwanda community. Design Cross-sectional study. Settings Country-wide community survey in Rwanda. Participants 4763 participants were randomly sampled following the sampling frame used for the recent Rwanda Demographic Health Su...
Article
Full-text available
On March 12, 2020, the WHO declared the COVID-19 pandemic, in response to widespread infections and thousands of fatalities resulting from the outbreak. Researchers worldwide have paid close attention to this pandemic. This situation has been aided by mathematical models that guide public policy. In Rwanda, this problem involves uncertainty and inc...
Article
Full-text available
Background Stunting among children under 5 years of age remains a worldwide concern, with 148.1 million (22.3%) stunted in 2022. The recent 2019/2020 Rwanda Demographic Health Survey (RDHS) revealed that the prevalence of stunting in Rwanda among under five children was 33.5%. In Rwanda, there is no sufficient evidence on stunting status to guide p...
Article
Full-text available
The prediction of student performance is one of the major issues in many higher education institutions throughout the world. This issue is lately detected due to the lack of a proper continuous monitoring framework. Failing to detect and assist students leads them to the uncertainty of success. Therefore, there is a need to develop an early detecti...
Article
Full-text available
In Rwanda, the prevalence of hypertension was 15.3% in 2015. At present, there are no accurate predictions of the prevalence of hypertension and its trend over time in Rwanda to assist decision makers in making plans for prevention and more effective interventions. This study used the Gibbs sampling method in combination with the Markov Chain Monte...
Article
Full-text available
With the advancement in technology, the tax base in Rwanda has become broader, and as a result, tax fraud is growing. Depending on the dataset used, fraud detection experts and researchers have used different methods to identify questionable cases. This paper aims to predict features of tax fraud using the most robust supervised machine-learning mo...
Preprint
Full-text available
The COVID-19 pandemic disrupted socioeconomic situation worldwide, and particularly in Rwanda which was rebuilding its economy in the aftermath of the 1994 Genocide against the Tutsi. Recent studies documented the macro-level socio-economic pandemic impact but the impact on a household’s daily life has been scarcely documented especially in low-and...
Article
Full-text available
Objectives Mathematical modelling has been of interest to study the dynamics of COVID-19, and models such as SEIR (Susceptible-Exposed-Infected- Recovered) have been considered. To take into consideration specific measures put in place by the Government of Rwanda to prevent further spread of the disease, we develop a compartmental model as Suscepti...
Article
The world aspires to achieve inclusive and quality education for all as reaffirmed in Sustainable Development Goal (SDG) 4. This is driven by the consensus that education is one of the most powerful and proven vehicles for sustainable development. Moreover, to achieve SDG 4, Rwanda has launched several development strategies that include the provis...
Article
Cut rose flowers contribute to the economy and development of the export markets for several developing countries. Despite this contribution, profitable production of rose flowers is limited by wilting which leads to lower production. This paper aims to investigate the effects of Calcium foliar feed on the wilting rate of post-harvest rose flowers...
Chapter
Linear models are important in statistical analysis. In many real situations, these models become more and more complex, as such the estimation of model parameters constitutes a big challenge. To overcome this challenge many approaches have been proposed and space decomposition has emerged as a powerful tool in handling these complex models. This w...
Chapter
In various areas of modern statistical applications such as in Environmetrics, Image Processing, Epidemiology, Biology, Astronomy, Industrial Mathematics, and many others, we encounter challenges of analyzing massive data sets which are spatially observable, often presented as maps, and temporally correlated. The analysis of such data is usually pe...
Article
Full-text available
This study investigated the level of productivity and competitiveness of Rwandan agriculture by focusing on the case study of the maize sector. The data were collected through close monitoring of maize production activities on a sample of 50 producers from five maize producers’ cooperatives selected in the districts of Huye, Rusizi, Gasabo, Burera...
Article
In this article, Small Area Estimation under a Multivariate Linear model for repeated measures data is considered. The proposed model aims to get a model which borrows strength both across small areas and over time. The model accounts for repeated surveys, grouped response units and random effects variations. Estimation of model parameters is discu...
Article
Full-text available
In this paper, the bilinear regression model based on normally distributed random matrix is studied. For these models, the dispersion matrix has the so called Kronecker product structure and they can be used for example to model data with spatio-temporal relationships. The aim is to estimate the parameters of the model when, in addition, one covari...
Article
In this paper we consider the extended generalized multivariate analysis of variance (GMANOVA) with a linearly structured covariance matrix. The main theme is to find explicit estimators for the mean and for the linearly structured covariance matrix.We show how to decompose the residual space, the orthogonal complement to the mean space, into m + 1...
Article
The extended growth curve model with two terms and a linearly structured covariance matrix is considered. We propose an estimation procedure that handles linearly structured co-variance matrices. The idea is first to estimate the covariance matrix when finding the inner product in a regression space and thereafter re-estimate it when it should be i...
Article
When charged particles are placed on an uncharged metallic body, the charged particles redistribute themselves along the surface of the body until they reach a point or a configuration that no net tangential force is experienced on each particle. That point is referred to as electrostatic equilibrium configuration or simply as static equilibrium co...

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