Andrew Mujugira
ID: UNCST-2019-R000871
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Adherence to 3TC/TDF PrEP as a Bridge to ART: A Pilot Evaluation
REFNo: HS208ES
1) Evaluate uptake and adherence to 3TC/TDF PrEP among HIV-uninfected partners, when implemented as a bridge to ART
2) Assess factors related with adherence to 3TC/TDF PrEP
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Uganda |
2018-05-29 |
2021-05-29 |
Medical and Health Sciences |
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Non-degree Award |
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Silver Bahendeka Karaireho
ID: UNCST-2019-R000876
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The Epidemiology of Type 1 Diabetes in Uganda
REFNo: HS209ES
General Objective
To study the epidemiology of T1D in Ugandan Youths
Specific Objectives
1. To ascertain the newly diagnosed (2009 – 2018) incident T1D in youth age < 25 years in order to assess the temporal trends in presentation of diabetes for the period 2009 – 2018, by age, sex and ethnicity. Specific characteristics to be examined are: age at onset of diabetes, markers of disease severity (diabetic ketoacidosis; residual insulin secretion – C-peptide; HbA1c), markers of insulin sensitivity (waist circumference, body mass index), Cardiovascular risk factors (lipid profile, blood pressure, microalbuminuria).
2. To determine the prevalence and incidence of, and risk factors for chronic microvascular (retinopathy, nephropathy, and autonomic neuropathy) and selected markers macrovascular complications (hypertension) of diabetes.
3. To assess the incidence of, and risk factors for, serious acute complications of diabetes, including severe hypoglycaemia and diabetic ketoacidosis (DKA).
4. To assess total and cause – specific mortality among 2009 – 2018 incident cases for the period from the date of diabetes diagnosis through March 31, 2018
5. To determine the extent to which barriers to access care and barriers to quality of care, impact on management outcomes.
6. To provide consultation and support to inform the development of low-cost sustainable public health surveillance systems of childhood diabetes in Uganda.
7. To assess growth and glycaemic control of children and adolescents diagnosed with T1DM .
8. To determine the effect of psychosocial support (camps and / parents meeting) on Diabetes care in children and youth with DM
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Uganda |
2018-05-29 |
2021-05-29 |
Medical and Health Sciences |
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Non-degree Award |
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Amy Patterson Stephenson
ID:
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“Shaping Citizenship: Christian Institutions and Urban Youth in Africa”
REFNo: SS190ES
This project explores the relationship between Christian institutions (such as ecumenical bodies, denominations and individual congregations) and youth citizenship in urban Africa. The project seeks to answer three questions: (1) How do Christian institutions shape citizenship norms and behaviors among African youth? (2) How do Christian institutions prioritize particular citizenship norms and behaviors, depending on the gender and economic standing of youth? (3) How do these Christian efforts influence how youth themselves understand citizenship and act on that understanding? To answer the questions, the project will include fieldwork in urban Kampala district. Outputs will include an academic presentation, academic articles and potentially, a book.
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USA |
2018-05-29 |
2021-05-29 |
Social Science and Humanities |
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Non-degree Award |
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Dorothy Stamps Sarah
ID: UNCST-2019-R001036
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Quantifying Plume-Lithosphere Interactions from GNSS Geodesy, Seismology, and Geodynamic Modeling
REFNo: PS4ES
1) Install 3 Global Navigation Satellite System (GNSS) stations in Uganda
2) Assess surface motions using geodynamic modeling
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USA |
2018-05-24 |
2021-05-24 |
Natural Sciences |
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Non-degree Award |
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wasswa william
ID: UNCST-2019-R001217
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Automated Diagnosis and Classification of Cervical Cancer from Pap-Smear Images.
REFNo: HS129ES
The general objective of this research is to design and validate a robust automated tool for diagnosis and classification of cervical cancer using hybrid Segmentation and Classification techniques applied to Pap smear images. To achieve this objective and address the research problem, the following specific research objectives have been formulated.
1. To review state of art prominent recent publications focusing on the application of machine learning and medical imaging in automated detection and classification of Cervical Cancer from Pap-smear images.
2. To acquire Pap-smear images and develop a hybrid technique for automated segmentation and classification of cervical cancer.
3. To develop an interactive graphical user interface (GUI) platform to facilitate the automated diagnosis and classification of cervical cancer from Pap-smear images.
4. To test and validate the developed platform using patient results obtained from a manual screening of the Pap-smear images by a trained and experienced cytologist and also comparing the algorithms with results obtained by other researchers on the same open source datasets (Hervlet Cervical cancer dataset).
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Uganda |
2018-05-22 |
2021-05-22 |
Medical and Health Sciences |
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Degree Award |
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