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 MPAMIZO
ID: UNCST-2023-R008388
 Acceptance of home visits for the treatment of children and adolescents with HIV/AIDS
REFNo: HS6430ES

To explore how the acceptance of medical home visits in the treatment of children and adolescents with HIV in Gulu district, Uganda, can be improved.,To explore the acceptance of medical home visits in the treatment of children and adolescents with HIV/AIDS in Gulu district, Uganda, from the perspective of children and adolescents, their parents or primary care providers, and the health workers who routinely provide HIV/AIDS care,To explore the acceptance of medical home visits in the treatment of children and adolescents with HIV/AIDS in Gulu district Uganda from the perspective of children and adolescents, their parents, guardian or other primary care providers and the health workers who routinely provide HIV/AIDS care to them and to explore how the acceptance of medical home visits can be improved. ,
 Uganda 2026-03-10 11:43:22 2029-03-10 Medical and Health Sciences Non-degree Award
Gertrude Akello
ID: UNCST-2023-R007419
 MODELLING NATURAL HAZARD REGULATING ECOSYSTEM SERVICES IN MT. ELGON, UGANDA
REFNo: NS1064ES

i. To examine the institutional arrangements for the management of Mt. Elgon ecosystem and coordination among the actors.
ii. To assess the demand and supply pattern of hazard-regulating ecosystem services in Mt. Elgon.
iii. To model the value of hazard-regulating ecosystem services in the Mt. Elgon ecosystem
 Uganda 2026-03-10 11:41:27 2029-03-10 Natural Sciences Non-Clinical Trial Degree Award
Monica Sousa
ID: UNCST-2025-R023267
 EXPLORING REGENERATIVE CAPACITY IN DEOMYINAE RODENTS OF UGANDA: COMPARATIVE INSIGHTS BEYOND THE AFRICAN SPINY MOUSE
REFNo: NS1118ES

i. To capture and identify live specimens of Lophuromys, Deomys, and Uranomys from natural habitats in Uganda.
ii. To document ecological, morphological, and physiological traits of captured individuals.
iii. To obtain biological samples for regenerative assays and molecular analyses.
iv. To compare regenerative capacity among Deomyinae species to determine whether this trait is conserved or derived.
v. To ensure all research activities adhere to ethical, legal, and institutional standards for wildlife research.

 Portugal 2026-03-10 11:39:42 2029-03-10 Natural Sciences Non-Clinical Trial Non-degree Award
Nanyonga Elizabeth Monica
ID: UNCST-2025-R018232
 various communitites
REFNo: SIR523ES

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 Uganda 2026-03-10 11:36:59 2029-03-10 Engineering and Technology Non-Clinical Trial Non-degree Award
Solomon Mwije
ID: UNCST-2025-R022614
 Potential and value of using Artificial Intelligence (AI) in Development Monitoring and Evaluation: Tools, Factors, Benefits, Challenges & Efficacy
REFNo: SS4958ES

Main Objective 1. To explore the extent to which AI is being used in M&E practices in Africa and the Asia-Pacific Regions. Specific Objectives 1. To identify AI tools commonly used by M&E professionals and the M&E tasks where AI is used 2. To determine factors that influence professionals to use or resist AI when performing M&E tasks 3. To analyse the benefits professionals experience when using AI in M&E practices 4. To examine the risks and challenges professionals experience when using AI in M&E practices 5. To explore how professionals perceive capacities to use AI in M&E and the future impact of AI in M&E practices
 Uganda 2026-03-10 11:34:48 2029-03-10 Social Science and Humanities Non-Clinical Trial Degree Award
VINCENZO ARMINI
ID: UNCST-2025-R021652
 A Randomized Controlled Non-Inferiority Trial with Blinded Outcome Assessment and Sensory Evaluation of a Sustainable and Locally Produced Ready-To-Use Therapeutic Food
REFNo: A709ES

The proposed randomized controlled non-inferiority trial with blinded outcome assessment and sensory assessment study aims to determine whether a sustainable Locally Produced RUTF (NutriMAS), formulated from locally available cereal and legume ingredients, is clinically effective and sensorially acceptable compared with the currently used SR-RUTF among children aged 6–59 months in Northern Uganda. Specific Objectives 1.To compare the therapeutic effectiveness of the LP-RUTF (NutriMAS) with the SR-RUTF (RUTFUNICEF/NGO formulation) using programmatically relevant clinical outcomes. 2.To evaluate the safety and tolerability of NutriMAS in comparison with the UNICEF/NGO formulation. 3.To assess the sensory acceptability of NutriMAS versus the UNICEF/NGO formulation in terms ofappearance, flavour, taste, texture, and overall liking among children and caregivers.
 Italy 2026-03-10 11:20:11 2029-03-10 Agricultural Sciences Non-Clinical Trial Degree Award
Jafesi Pulle
ID: UNCST-2020-R014213
 Improving the Availability of Single Pill Combination Therapy for hypertension in Africa (ASPeCT-Africa) A case study in Nigeria and Uganda
REFNo: SS4613ES

3. To develop a framework to support discussion on SPCs availability for hypertension,2. To determine the barriers and facilitators for the availability of SPCs for the treatment of patients with hypertension.,Overall aim To determine the key barriers and facilitators of the availability of SPCs for hypertension management in Nigeria and Uganda, and to propose a framework for a multi-stakeholder roundtable.,
 Uganda 2026-03-10 11:17:43 2029-03-10 Social Science and Humanities Non-degree Award
Pauline Nalumaga Petra
ID:
MACHINE LEARNING-INTEGRATED WASTEWATER SURVEILLANCE MODEL FOR EARLY DETECTION OF ANTIMICROBIAL RESISTANCE IN URBAN AND HOSPITAL SETTINGS IN UGANDA
REFNo: HS7000ES

1.4 Objectives
1.4.1 Main Objective
To develop and pilot a machine learning-based wastewater surveillance system for the early detection and prediction of antimicrobial resistance in Southwestern Uganda.
1.4.2 Specific Objectives
1. To determine the presence, diversity, and relative abundance of antimicrobial resistance genes (ARGs) in wastewater samples from hospital and urban sites in Mbarara using metagenomic sequencing.
2. To identify and classify antimicrobial resistance genes (ARGs) using bioinformatics pipelines.
3. To develop machine learning models for predicting AMR gene abundance and classifying wastewater sources.
4. To generate a public health risk map and recommendations based on AMR hotspots detected.

 Uganda 2026-03-10 11:15:03 2029-03-10 Medical and Health Sciences Non-Clinical Trial Non-degree Award
Lydia MirembeSsenyonjo
ID: UNCST-2025-R022027
 Optimizing Audience Engagement and Message Tailoring For Sustainable Behavior Change In Uganda’s National Handwashing Campaign
REFNo: SS4860ES

i)To assess the level of audience awareness about the national hand washing campaign ii) To analyse the extent of audience engagement in the national hand washing campaign iii) To assess the extent to which messages in the national hand washing campaign were tailored to target audiences iv) To analyse audience adoption and sustainability of handwashing behaviour following exposure to the hand washing campaign message v) To test the relationship between audience engagement, message tailoring, and sustainability of behaviour change in the national hand washing campaign in Uganda
 Uganda 2026-03-10 11:12:44 2029-03-10 Social Science and Humanities Non-Clinical Trial Degree Award
PETER KALUBI ALMANS
ID: UNCST-2023-R007776
 PREVALENCE, CLINICAL AND AETIOLOGICAL PROFILES OF CHILDREN WITH EPILEPSY ATTENDING THE PAEDIATRIC EPILEPSY OUTPATIENT CLINIC AT MBARARA REGIONAL REFERRAL HOSPITAL
REFNo: HS7001ES

1.To determine the prevalence of Epilepsy among children aged 1 month to 17 years attending the Paediatric outpatient Epilepsy clinic at Mbarara Regional Referral Hospital
2.To describe the clinical profiles of children with Epilepsy aged 1 month to 17 years attending the Paediatric outpatient Epilepsy clinic at Mbarara Regional Referral Hospital
3.To describe the aetiological profiles of children with Epilepsy aged 1 month to 17 years attending the Paediatric outpatient Epilepsy clinic at Mbarara Regional Referral Hospital


 Uganda 2026-03-10 11:10:59 2029-03-10 Medical and Health Sciences Non-Clinical Trial Non-degree Award
BETTY MUKYALA OBURU
ID: UNCST-2026-R023314
 FINANCIAL INCLUSION AND THE GROWTH OF BUSINESSES LED BY WOMEN IN THE GREATER KAMPALA METROPOLITAN AREA
REFNo: SS4956ES

i. To examine the effect of financial access on the growth of business led by women in the Greater Kampala Metropolitan Area. ii. To assess the effect of financial literacy on the growth of businesses led by women in the Greater Kampala Metropolitan Area. iii. To evaluate the effect of financial affordability on the growth of businesses led by women in the Greater Kampala Metropolitan Area. iv.To analyze the effect of financial products on the growth of businesses led by women in the Greater Kampala Metropolitan Are
Uganda 2026-03-10 11:09:22 2029-03-10 Social Science and Humanities Non-Clinical Trial Degree Award
Sarah Ameso
ID: UNCST-2025-R019523
 Indigenous Enterprises in the Informal Economy: Youth Futures in Dignified and Fulfilling Work in Africa
REFNo: SS4475ES

Objectives:

•Examine how indigenous enterprises promote youth livelihoods.

•Understand the interplay between youth, enterprises, and institutions.

•Provide policy-relevant recommendations to support informal and indigenous economies.

 Uganda 2026-03-10 11:07:08 2029-03-10 Social Science and Humanities Non-Clinical Trial Non-degree Award
JANET KANTALAMA
ID: UNCST-2025-R016723
 DETERMINING FAMILY RISK FACTORS AND THEIR PREVALENCE FOR SUBSTANCE ABUSE AMONG YOUNG ADULTS IN THE KAMPALA METROPOLITAN AREA IN UGANDA: TOWARD A CONCEPTUAL FRAMEWORK FOR PREVENTION AND INTERVENTION
REFNo: HS7095ES

General Objective To identify and analyse family-related risk factors for substance abuse among young adults in the Kampala metropolitan area of Uganda, in order to develop a context-specific conceptual framework for prevention and intervention. Specific Objectives: 1.To conceptualise family risk factors for substance abuse among young adults through a review of relevant literature. 2.To explore the perspectives of young adults who use or have used substances regarding family-related risk factors for substance abuse. 3.To explore the lived experiences and perspectives of parents, guardians, and caretakers of young adults who have abused substances regarding family-related risk factors. 4.To develop a preliminary checklist of family risk factors for substance abuse based on qualitative and theoretical insights. 5.To pilot and assess the face validity, content validity, and internal consistency reliability of the developed checklist. 6.To determine the prevalence of the identified family risk factors among a sample of young adults in the Kampala metropolitan area. 7.To examine correlations between key demographic variables and the prevalence of family risk factors. 8.To synthesise findings into a context-specific conceptual framework outlining salient family-related risk and protective factors for substance abuse. This framework will guide future research and inform targeted prevention and intervention strategies.
Uganda 2026-03-10 10:49:11 2029-03-10 Medical and Health Sciences Non-Clinical Trial Degree Award
SSEDYABANE FRANK
ID: UNCST-2022-R011175
 OPTIMIZATION OF THE XPERT HPV ASSAY FOR DETECTION OF URINARY HPV IN UGANDA (u-HPV)
REFNo: HS7113ES

1. To optimize the pre-analytical steps (centrifugation, delayed testing, preservation, storage duration and temperature) of the Cepheid Xpert® HPV assay for detection of HPV in urine specimens among Ugandan women.
2. To evaluate the accuracy (diagnostic sensitivity, specificity, as well as positive and negative predicting values) of the optimized Cepheid Xpert urine HPV assay for detection of HPV in first void urine samples in Ugandan women using cervical brush specimens as the gold standard.

 Uganda 2026-03-10 10:47:36 2029-03-10 Medical and Health Sciences Non-Clinical Trial Non-degree Award
Fred Kyeyune
ID: UNCST-2025-R021753
 Evaluating non-subtype B HIV-1 reservoirs in patients with persistent low-level viremia Populations
REFNo: HS7152ES

Objectives: Main Objective 1. The major goal of this study is to comprehensively characterize the latent HIV-1 reservoir in PLHIV who exhibit pLLV and are infected with non-subtype B viruses. 2. Estimate the inducible reservoir through envelope detection by induced transcription-based sequencing (EDITS) assay after CD4+ stimulation at baseline and 9 months. 3. Quantify cell-associated env RNA as a marker of ongoing replication at baseline and 9 months. 4. Assess reservoir clonality via near full-length sequencing and integration site analysis at baseline and 9 months. Specific Objectives 1. Determine HIV-1 subtypes and co-receptor tropism through envelope gene sequencing at baseline and 9 months. 2. Assess drug resistance evolution via proviral DNA and plasma RNA sequencing at baseline and 9 months. 3. Monitor viral load and Tenofovir (TDF) drug levels to confirm adherence and persistence of LLV at baseline and 9 months. 4. Evaluate immune status by measuring CD4/CD8 counts and markers of activation, inflammation, and exhaustion at baseline and 9 months. 5. Measure intact proviral genomes using Intact Proviral RNA Assay ( IPDA) in CD4+ cells at baseline and 9 months.
 2026-03-10 10:44:52 2029-03-10 Medical and Health Sciences Non-degree Award
KIRUNGI RICHARD
ID: UNCST-2019-R001816
 A MACHINE LEARNING-BASED ANOMALY DETECTION MODEL FOR ENHANCING INTRUSION DETECTION AND PREVENTION ON UNIVERSITY NETWORK
REFNo: SIR622ES

1. To analyze and determine the challenges associated with Distributed Denial of Service and ARP-based cybersecurity threats encountered on the university network.
2. To evaluate the effectiveness of machine learning algorithms in detecting the DDoS and ARP-based cybersecurity threats identified in Objective 1, while identifying the limitations of traditional intrusion detection systems on the university network.
3. To develop a machine learning–based anomaly detection model for identifying DDoS and ARP-based threats on the university network identified in objective (1).
4. To validate the accuracy and effectiveness of the proposed machine learning–based intrusion detection and prevention model in analyzing real-time traffic on the university network.

 Uganda 2026-03-10 10:43:27 2029-03-10 Engineering and Technology Non-Clinical Trial Degree Award
Martin Ariapa
ID: UNCST-2021-R013296
 The drivers of teacher wellbeing and retention in contexts of protracted violence and displacement
REFNo: SS4796ES

Study objectives To identify effective strategies for supporting teacher wellbeing and strengthening teacher retention in crisis-affected regions of Uganda. Specific objectives 1. To examine how teachers and informal community networks mitigate the effects of violent conflict, displacement, and related crises on teacher wellbeing and retention in Uganda. 2. To analyse the role of school leadership and sub-national education governance mechanisms in supporting teacher wellbeing and retaining teachers in crisis-affected contexts. 3. To assess how institutionalised peer-based professional support and teacher professional development contribute to strengthening teacher wellbeing and retention in crisis-affected settings.
Uganda 2026-03-10 10:39:05 2029-03-10 Social Science and Humanities Non-Clinical Trial Non-degree Award
Brian Otaalo
ID: UNCST-2025-R022795
 Exploring Antibiotic Prescribing Behavior Among Healthcare Providers in HIV Clinics: A Qualitative Study in Uganda.
REFNo: HS7056ES

1. To explore the determinants of health workers’ antibiotic prescribing behavior in HIV health care settings in Kampala, Uganda. 2. To explore healthcare workers’ views and ideas for potential antimicrobial stewardship interventions in HIV health care settings in Kampala, Uganda.
Uganda 2026-03-03 12:56:39 2029-03-03 Medical and Health Sciences Non-Clinical Trial Non-degree Award
Richard Ssewakiryanga
ID: UNCST-2026-R023427
 The Impact of Digital Tax Stamp (DTS) in Uganda
REFNo: SS4777ES

1. Access the legal, regulatory, and institutional framework governing DTS.
2. Evaluate the effects of DTS on revenue, compliance, and enforcement outcomes across covered products, and
3. Examine the effectiveness of DTS in addressing countering smuggling and illicit market practices.
 Uganda 2026-03-03 12:53:55 2029-03-03 Social Science and Humanities Non-Clinical Trial Non-degree Award
Jacinta Namakoye
ID: UNCST-2025-R016920
 MACHINE LEARNING MODEL FOR PREDICTION OF CHOLERA IN RUBAGA DIVISION, KAMPALA DISTRICT
REFNo: HS6964ES

i. To analyze the key predictors influencing cholera outbreaks in Rubaga division ii. To develop machine learning models that generate early-warning predictions of cholera outbreaks to support public health decision-making in Rubaga division iii. To evaluate the predictive performance and accuracy of the developed models
Uganda 2026-03-03 12:52:00 2029-03-03 Medical and Health Sciences Degree Award
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