Approved Research This page provides a searchable list of all research protocols that have been reviewed and approved by the Uganda National Council for Science and Technology(UNCST).
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Name Title Nationality Approval Date Expiry Date Field of Science/Classification Trial Type Research Type  
Tobias Klaus
ID:
Africa: Research and Teaching platform for Development - Sustainable Modular Grids for Grid Stability (ART-D Grids)
REFNo: SIR94ES

Together with the African and German partners, the objective of the project is to develop new ways of electrifying remote regions in East Africa through microgrids and their interconnection. These grids on the one hand meet the needs of rural communities for a robust and largely uninterruptible energy supply and on the other hand meet the politically motivated need for a centrally well-manageable power supply within the framework of a national grid. Many years of experience have shown that an interdisciplinary approach makes sense for such a project, since the sustainable operation of infrastructure systems not only depends on sound technology, but social and economic factors also influence sustainable operation.
Germany 2022-08-09 9:22:32 2025-08-09 Engineering and Technology Non-Clinical Trial Non-degree Award
JULIET NABBAALE
ID: UNCST-2021-R012237
CLINICAL, LABORATORY AND ECHOCARDIOGRAPHIC OUTCOMES AMONGST UGANDAN WOMEN WITH PERIPARTUM CARDIOMYOPATHY
REFNo: HS2268ES

Sub study 1: To determine the impact of Right Ventricular Function on Left Ventricular dimension and contractility, measured by echocardiography among women with PPCM.
Sub study II: To determine the impact of biomarkers on cardiac remodeling amongst PPCM women.
Sub study III: To determine adherence levels to Enalapril among women with PPCM.
Sub study 1V: To determine the correlation between proteomics and Right Ventricular Fibrosis amongst women with PPCM.

Uganda 2022-08-08 9:56:45 2025-08-08 Medical and Health Sciences Non-Clinical Trial Degree Award
Kayizzi Peter PETER
ID:
lectureres' pedagogical practices and students' academic performance in universities of Uganda. A case of selected universities in central Uganda.
REFNo: SS1343ES

1. To analyse the influence of lecturers' pedagogical practices on students' academic performance in selected Universities in central Uganda.
2. To examine the influence of students' learning environment on lecturers' pedagogical practices in selected universities in central Uganda.
3. To evaluate the influence of students' learning environment on students' academic performance in selected universities in central Uganda.
Uganda 2022-08-08 19:09:12 2025-08-08 Social Science and Humanities Non-Clinical Trial Degree Award
Shevin  Jacob Thomas
ID: UNCST-2022-R010715
Evaluation of Supportive Care Guidelines for Epidemics: Implementation Case Study: Filovirus Diseases (FVDs) and Covid-19 guidelines in Uganda.
REFNo: SS1320ES

Main objective:
to understand implementation practices, challenges and experiences of providing clinical management guidelines (CMGs)/ providing supportive care recommendations for patients with VHFs and/or COVID-19 in Uganda.

specific:

1) implementation of CMGs for a selection of high-risk epidemic prone pathogens
2) factors influencing implementation in different settings and contexts
3) perceived impact of available CMGs and supportive care recommendations on research and development for medical countermeasures and on outcomes
4) experiences of key informants who led CMG development and contributed to the evolution of CMGs in epidemics
5) community-level perceptions in any changing quality of care during the evolution of CMGs.
6) any changing essence and meaning to patient journeys during the expansion and implementation of CMGs

USA 2022-08-08 19:07:46 2025-08-08 Social Science and Humanities Non-Clinical Trial Non-degree Award
George Aribo
ID: UNCST-2022-R010546
Digital Innovation for Zero Hunger: Developing an Artificial Intelligence enabled mobile application to detect malnutrition in children aged between 6 and 59 months
REFNo: HS2381ES

Create a dashboard for improved access of stakeholders (policy makers, program managers & researchers) to child growth and nutrition data ,Improve the performance of the CGM in terms of its predictive (Machine Learning (ML)) algorithms (accuracy and overall usefulness) for detecting malnutrition by validating it against manual anthropometric measurements in children aged 6-59 months. To develop a validated artificial intelligence based digital solution i.e. the Child Growth Monitor Application (CGM), for detection of malnutrition in children aged 6-59 months,
Uganda 2022-08-08 15:38:41 2025-08-08 Medical and Health Sciences Non-Clinical Trial Non-degree Award
Günther Fink
ID:
Estimating the Knowledge and Health Impact of Viamo’s 3-2-1 Service (Viamo Impact)
REFNo: HS2372ES

To assess the impact of the 3-2-1 service on nutritional status, chronic disease and birth spacing,To assess the impact of getting access to the 3-2-1 service on self-reported health behaviors,To assess the impact of getting access to the service on reproductive health knowledge ,To assess the extent to which women invited to use the 3-2-1 service access the provided information initially and over time,The goal of the proposed study is to rigorously assess the impact of the 3-2-1 Service on health knowledge and proactive healthy behavior.,
Austria 2022-08-08 15:34:28 2025-08-08 Medical and Health Sciences Non-degree Award
Waiswa Peter
ID: UNCST-2020-R014921
MEASURING CONTRACEPTIVE AUTONOMY AND ITS RELATIONSHIP WITH PROGRESS TOWARDS FERTILITY GOALS AMONG A LONGITUDINAL COHORT OF WOMEN IN NIGERIA AND UGANDA
REFNo: HS2368ES

Assess the association between contraceptive use (and specifically SI), contraceptive autonomy, and progress towards fertility goals. ,Test and validate a new, two-domain measure of contraceptive autonomy (Domain 1: consciousness of contraceptive rights and preferences, Domain 2: achievement of contraceptive rights and preferences),
Uganda 2022-08-08 15:29:23 2025-08-08 Medical and Health Sciences Non-Clinical Trial Non-degree Award
Justine  Komunyena Tumusiime
ID: UNCST-2023-R008465
Assessing the feasibility and usability of implementing professional use and self-administered COVID-19 Antigen RDTs in Uganda
REFNo: HS2339ES

• To assess the feasibility of using professional and self-administered COVID-19 Ag-RDTs in facility OPDs and community settings in Uganda.

• To determine usability of Ag-RDT COVID-19 self-tests among FSWs, Boda boda drivers, and OPD patients.
Uganda 2022-08-08 15:19:50 2025-08-08 Medical and Health Sciences Non-Clinical Trial Non-degree Award
Dorothy Okello Kabagaju
ID: UNCST-2021-R011847
Development of an Efficacious Patient Management System for Uganda using Machine Learning Techniques
REFNo: SIR101ES

General Objective
To develop a machine learning aided Portable application (MakCOV) for non-invasive screening for COVID-19 so as to improve diagnosis of COVID-19

Specific Objectives
1) To develop machine learning models for COVID-19 screening, utilizing retrospective patient data

2) To design and build a hardware platform for deployment of the machine learning models

3) To integrate the machine learning models with the hardware platform, yielding a minimum viable prototype of the learning aided platform for COVID-19 screening (MakCOV)

4) To evaluate device functionality in a public setting
Uganda 2022-08-08 15:16:44 2025-08-08 Engineering and Technology Non-Clinical Trial Non-degree Award
SIMON ARUNGA
ID: UNCST-2021-R013498
Multimodal Database of Retinal Images for Africa
REFNo: HS2094ES

To use a multimodal database of clinical and retinal imaging data to develop algorithms for the diagnosis of PSED in an African population.,
Uganda 2022-08-08 15:13:14 2025-08-08 Medical and Health Sciences Non-Clinical Trial Non-degree Award
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