Zelalem G. Dessie

Zelalem G. Dessie
University of KwaZulu-Natal | ukzn · Department of Statistics

PhD

About

18
Publications
3,816
Reads
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399
Citations
Citations since 2017
14 Research Items
389 Citations
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Introduction
Currently, I am doing PhD in Biostatistics at the University of KwaZulu-Natal, South Africa. I have experience of Markov modelling, survival analysis, mixed effect model and multivariate analysis
Education
September 2017 - January 2021
University of KwaZulu-Natal
Field of study
  • Biostatistics

Publications

Publications (18)
Article
Full-text available
Background Mortality rates of coronavirus disease-2019 (COVID-19) continue to rise across the world. The impact of several risk factors on coronavirus mortality has been previously reported in several meta‐analyses limited by small sample sizes. In this systematic review, we aimed to summarize available findings on the association between comorbidi...
Article
Full-text available
Objective This study aimed to determine whether the birth interval changes differently over time among women in Ethiopia and whether the change depends on women, children and household characteristics measured at the last visit. Methods Longitudinal study design was implemented based on the data obtained from the 2019 Ethiopia Mini Demographic and...
Article
Full-text available
Household food insecurity remains highly prevalent in developing countries (including in Ethiopia) and it has been recognized as a serious public health problem. Several factors such as demographic, economic, social, and clinical factors influence household food insecurity, and these vary geographically. In this work, we investigate the geographica...
Article
Full-text available
Background : Little is known about the clinical care, utilisation of medicines and risk factors associated with mortality amongst the private health insured population with COVID-19 in South Africa. Methods : This was a retrospective cross-sectional study using claims data of patients with confirmed COVID-19. Socio-demographics, comorbidities, sev...
Article
Full-text available
Background Undernutrition is the main cause of morbidity and mortality of children aged under five and it is an important indicator of countries’ economic and health status. Limited attention is given to research papers conducted in Ethiopia that identified and estimates the determinants of under-five anthropometric indicators by considering their...
Article
Full-text available
The aim of this study is to model the progression of HIV/AIDS disease of an individual patient under ART follow-up using semi-Markov processes. Recorded hospital data were obtained for a cohort of 710 patients at Felege-Hiwot referral hospital, Ethiopia, who have been under ART follow-up from June 2005 to August 2009. States of the Markov process a...
Article
Full-text available
Background: HIV infected patients may experience many intermediate events including between-event transition throughout their follow up. Through modelling these transitions, we can gain a deeper understanding of HIV disease process and progression and of factors that influence the disease process and progression pathway. In this work, we present t...
Article
Full-text available
Background: Ordinal health longitudinal response variables have distributions that make them unsuitable for many popular statistical models that assume normality. We present a multilevel growth model that may be more suitable for medical ordinal longitudinal outcomes than are statistical models that assume normality and continuous measurements. M...
Article
Full-text available
Introduction: Combination antiretroviral therapy has become the standard care of human immunodeficiency virus (HIV) infected patients and has further led to a dramatically decreased progression probability to acquired immune deficiency syndrome (AIDS) for patients under such a therapy. However, responses of the patients to this therapy have recorde...
Article
Full-text available
Emerging and re-emerging viral diseases are of great public health concern. The recent emergence of Severe Acute Respiratory Syndrome (SARS) related coronavirus (SARS-CoV-2) in December 2019 in China, which causes COVID-19 disease in humans, and its current spread to several countries, leading to the first pandemic in history to be caused by a coro...
Article
Full-text available
Background: CD4 cell and viral load count are highly correlated surrogate markers of human immunodeficiency virus (HIV) disease progression. In modelling the progression of HIV, previous studies mostly dealt with either CD4 cell counts or viral load alone. In this work, both biomarkers are in included one model, in order to study possible factors...
Article
Full-text available
Background: Patients infected with HIV may experience a succession of clinical stages before the disease diagnosis and their health status may be followed-up by tracking disease biomarkers. In this study, we present a joint multistate model for predicting the clinical progression of HIV infection which takes into account the viral load and CD4 cou...
Article
Full-text available
Background: Longitudinal quality of life (QoL) is an important outcome in many chronic illness studies aiming to evaluate the efficiency of care both at the patient and health system level. Although many QoL studies involve multiple correlated hierarchical outcome measures, very few of them use multivariate modeling. In this work, we modeled the l...
Article
Full-text available
Background: Tuberculosis is one of the world’s most common causes of death in the era of Human immunodeficiency virus. The purpose of this study was to determine the prevalence and associated factors of TB/HIV co-infection. Methods: Hospital based retrospective studies were conducted among adult HIV-positive patients. Logistic regression method and...
Article
Full-text available
The purpose of this study is to model the progression of HIV/AIDS disease of an individual patient under ART follow-up using non-homogeneous semi-Markov processes. The model focuses on the patient's age as a relevant factor to forecast the transitions among the different levels of seriousness of the disease. A sample of 1456 patients was taken from...
Article
Multi-state stochastic models are useful tools for studying complex dynamics such as chronic diseases. The purpose of this study is to determine factors associated with the progression between different stages of the disease and to model the progression of HIV/AIDS disease of an individual patient under ART follow-up using semi-Markov processes. A...
Article
Full-text available
The aim of this study is to model the progression of HIV/AIDS disease of an individual patient under ART follow-up using semi-Markov processes. Recorded hospital data were obtained for a cohort of 710 patients at Felege-Hiwot referral hospital, Ethiopia, who have been under ART follow-up from June 2005 to August 2009. States of the Markov process a...

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Project
The aim of this study is to model the progression of HIV/AIDS disease of an individual patient under ART follow-up using semi-Markov processes.