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  
Emmanuel Kiiza Mwesiga Kiiza
ID: UNCST-2019-R001588
 A link between diet and cognitive function in Ugandan first-episode schizophrenia patients and healthy controls using nutrimetabolomics
REFNo: HS6783ES

3.To determine the effect of FES-specific DIBs generated from nine specific food groups on cognitive function.,2.To examine the modifying effect of non-genetic regulatory factors on dietary intake biomarkers generated in FES patients and healthy controls.,1.To compare dietary intake biomarkers generated from nine food groups in FES patients and healthy controls.,To utilize nutrimetabolomics to examine the link between diet and cognitive function in Ugandan first-episode schizophrenia patients and healthy controls.,
 Uganda 2025-12-18 19:57:34 2028-12-18 Medical and Health Sciences Non-Clinical Trial Non-degree Award
Joseph Baluku B
ID: UNCST-2019-R000612
 Respiratory Morbidity of Schistosoma mansoni: Lung Function Abnormalities, Immunological Biomarkers, Radiological features, Respiratory Quality of Life, and Clinical Phenotypes
REFNo: HS6665ES

Main Objective
The overall objective is to determine and compare the nature and prevalence of
spirometric lung function abnormalities, respiratory symptoms, radiological features, and immunological biomarkers, and respiratory quality of life scores among people with and without Sm and derive clinical phenotypes of respiratory morbidity among people with Sm.

Specific Objectives
1. To determine and compare the nature and prevalence of spirometric lung function
abnormalities among people with and without Sm in Uganda

2. To determine and compare the respiratory symptoms, X-ray findings and immunological
biomarkers that are associated with lung function abnormalities among people with and
without Sm in Uganda.

3. To determine and compare the St. George Respiratory Questionnaire respiratory quality
of life scores and socio-demographic, clinical and immunological correlates among
people with and without Sm in Uganda.

4. To derive and validate clinical phenotypes of respiratory morbidity by cluster analysis of patients with Sm in Uganda.
Uganda 2025-12-18 19:08:42 2028-12-18 Medical and Health Sciences Non-Clinical Trial Degree Award
Brenda Amaido Judith
ID: UNCST-2025-R022252
 Peace in Pieces: Histories of Conflict, Peacebuilding and Women's Agency in Teso Sub Region
REFNo: SS4556ES

To investigate the conceptual contours of “peacebuilding” and how it resonates with women’s agency in Teso.

To examine how histories of conflict in Teso sub region interact to affect women’s inclusion in peacebuilding.

To interrogate women agency in conflict deflation and peacebuilding initiatives in pre-colonial Iteso community.

To analyse the evolving roles of women in peacebuilding initiatives in Teso.

 Uganda 2025-12-18 19:02:28 2028-12-18 Social Science and Humanities Non-Clinical Trial Degree Award
Waiswa Peter
ID: UNCST-2020-R014921
 Evaluating the Feasibility of an AI-Powered Mobile Application for Mental Health Screening and Care in Uganda: A Digital Health Approach
REFNo: HS6700ES

1) To assess the perceptions of healthcare workers and the general public about the use of mobile applications for screening, self-help, referral and early detection of anxiety and depression in Uganda.
2) To develop an AI based mobile application for screening, self-help, referral and early detection of anxiety and depression in Uganda.
3) To assess the feasibility and acceptability of an AI based mobile application for screening, self-help, referral and early detection of anxiety and depression in Uganda.

 Uganda 2025-12-18 18:57:13 2028-12-18 Medical and Health Sciences Non-Clinical Trial Non-degree Award
Eva Mirembe
ID: UNCST-2025-R021893
 Enhancing Educator Support in eLearning in Higher Education Institutions through Learning Analytics
REFNo: SIR587ES

i. To elicit requirements for integrating the insights from LA into Educator support in eLearning ii. To design a LA based tool that can be used to enhance Educator support in eLearning iii. To evaluate the extent to which LA can enhance Educator support in eLearning
Uganda 2025-12-18 18:51:24 2028-12-18 Engineering and Technology Non-Clinical Trial Degree Award
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