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  
Samuel  Kiweewa Baker
ID: UNCST-2026-R026610
STRATEGIC PROCUREMENT PLANNING AND ORGANISATIONAL PERFORMANCE IN PRIVATE UNIVERSITIES IN UGANDA: INSIGHTS FROM NDEJJE UNIVERSITY
REFNo: SS5913ES

General Objective To evaluate the consequences of strategic procurement planning on Organizational performance in Private Universities, using Ndejje University as a case study. Specific Objectives To achieve the above purpose, the study will investigate the following specific objectives: i. To determine the effect of strategic needs assessment and forecasting on organizational performance at Ndejje University. ii. To examine the effect of budget allocation practices on organizational performance at Ndejje University. iii. To assess the effect of Information Technology (IT) infrastructure integration on organizational performance at Ndejje University. iv. To determine the moderating effect of institutional governance quality on the relationship between strategic procurement planning and organizational performance at Ndejje University.
Uganda 2026-09-04 15:39:44 2029-09-04 Social Science and Humanities Non-Clinical Trial Degree Award
Abdulkarim Ssegawa
ID: UNCST-2023-R007566
MACHINE LEARNING MODELS TO PREDICT ART ADHERENCE, ACTIVE TUBERCULOSIS, AND SEVERE BRONCHOPNEUMONIA AMONG CHILDREN LIVING WITH HIV IN SUB SAHARAN AFRICA
REFNo: SIR780ES

To develop and validate an audio-based AI algorithm for prediction of severe bronchopneumonia among children with respiratory infections,To explore the performance of the available different audio-based AI algorithms developed for prediction of various diseases.,To develop and validate an AI algorithm to diagnose and predict active tuberculosis among CLHIV enrolled in the EMPIRICAL clinical trial,To develop and validate an AI model for predicting ART adherence among early treated CLHIV from the EARTH cohort,DEVELOPMENT OF AI MODELS FOR THE PREDICTION OF ART ADHERENCE, ACTIVE TUBERCULOSIS, AND SEVERE BRONCHOPNEUMONIA AMONG CHILDREN LIVING WITH HIV IN SUB SAHARAN AFRICA,
Uganda 2026-09-04 15:37:45 2029-09-04 Engineering and Technology Non-Clinical Trial Degree Award
SUNDAY NICKSON
ID: UNCST-2026-R023410
PARTICIPATORY BUDGETING AND HEALTH SERVICE DELIVERY IN LOCAL GOVERNMENTS IN UGANDA: A CASE OF NTUNGAMO DISTRICT LOCAL GOVERNMENT
REFNo: SS5915ES

Purpose of the Study The purpose of the study is to establish the effect of participatory budgeting on health service delivery in local governments in Uganda using Ntungamo District Local Governement. Objective of the study The study will be guided by the following objectives. i. To establish the effect of participatory budget formulation on health service delivery in Ntungamo District. ii. To establish the effect participatory budget implementation on health service delivery in Ntungamo District. iii. To examine the effect participatory budget monitoring on health service delivery in Ntungamo District. iv. To establish the moderating role of political influence in the relationship between participatory budgeting and health service delivery.
Uganda 2026-09-04 15:33:29 2029-09-04 Social Science and Humanities Non-Clinical Trial Degree Award
Tierra Smiley Evans
ID: UNCST-2026-R027022
Population Census and Health Assessment of Mountain Gorillas in Bwindi Impenetrable National Park
REFNo: NS1370ES

Overall Goal & Objectives: The primary goal of this project is to utilize molecular analyses to conduct a comprehensive population census and health assessment of mountain gorillas (Gorilla beringei beringei) in Bwindi that will support conservation and management of this critically endangered species.
Our specific objectives, described below, include generating critical data on gorilla count and distribution, their associated microbiomes and antimicrobial resistance gene profiles, pathogen prevalence, and parasite burden, as well as assessing anthropogenic impacts to these health indicators. Together, these data and analyses will directly inform management strategies and health monitoring protocols, while also enhancing regional capacity to protect mountain gorillas.

Objective 1: Generate a population size estimate based on molecular data generated in the region. We have developed a robust panel of single nucleotide polymorphism (SNP) markers unique to the gorilla genome which will effectively identify individuals from fecal samples. We will apply our approach to samples collected during the BINP census. These samples include both habituated and unhabituated gorillas, the latter of which are rarely observed directly. While all habituated gorillas are well known and regularly monitored by Gorilla Doctors, our molecular analysis of night nest fecal samples will allow inclusion of unhabituated groups without the need for direct encounters. This approach will generate an accurate estimate of the total gorilla population in BINP and provide a reliable, validated molecular genotyping method for long-term monitoring of all eastern gorilla populations. In addition, while comprehensive censuses of mountain gorillas have been conducted every 5-10 years since 1971, the current census will be the first for which all genotyping will be conducted in the region. This is now possible due to capacity building efforts by Gorilla Doctors including development of the Gorilla Doctors Regional One Health Laboratory in Musanze, Rwanda.

Objective 2: Conduct molecular surveillance of pathogens and parasites circulating in the gorilla population. Fecal samples will be screened for a wide range of endemic and emerging pathogens and parasites using multiplex quantitative PCR (qPCR) assays. This will include respiratory and gastrointestinal pathogens and parasites spanning bacteria, viruses, fungi, and strongylid nematodes. The resulting data will be integrated into a broader analysis of spatial and temporal trends in pathogen prevalence among eastern gorillas. Gorilla Doctors are well equipped to conduct this surveillance as we already implement validated methods for molecular pathogen detection in our Regional One Health Laboratory.

Objective 3: Assess helminth burden in the gorilla population. We will conduct helminth egg counts in fecal samples. Strongylid and other helminth parasites are widespread in mountain gorilla populations, and these parasites have been linked to gastrointestinal disease (Petrželková et al., 2021). Egg counts data will be used as a proxy for helminth infection intensity, which will be analyzed along with other health indicators to elucidate factors influencing gorilla health.

Objective 4: Molecularly characterize microbiomes associated with the gorilla gut and elucidate their antimicrobial resistance (AMR) gene profiles. We will employ high throughput sequencing to generate metagenomic data from mixed microbial communities present in gorilla fecal samples and predict AMR gene function based on existing databases. While most studies of AMR in gorillas have been culture-based, our metagenomic sequencing approach will allow characterization of a larger fraction of AMR genes present across entire microbial communities associated with the gorilla gut (de Abreu et al., 2021). This work will examine how microbiomes and AMR profiles vary by individual, group identity, and location within BINP, and how they are influenced by host genetics, infections, and antibiotic interventions. We are uniquely equipped to address the relationship between AMR and history of clinical treatments using Gorilla Doctors extensive records of clinical cases and antibiotic drug treatment regimes. Gorilla Doctors’ clinical intervention records for mountain gorillas in BINP date back to 1997. The results of this work will contribute to baseline health parameters for mountain gorillas. In addition, results are pertinent to clinical interventions for gorillas and to public health in the region.

Objective 5: Utilize modeling and statistical approaches to evaluate anthropogenic impacts to gorilla health indicators. Leveraging UWA's data on tourist visitation frequencies, we will investigate correlations between tourism pressure and variations in pathogen prevalence, helminth burden, gut microbiomes, and AMR profiles across gorilla groups. Further, we will examine associations among pathogen distribution, microbiome and AMR profiles, and proximity to human-modified landscapes. This will provide insights into how human presence and activities influence gorilla health and will inform management strategies to minimize negative impacts using a One Health approach.

USA 2026-09-04 15:29:09 2029-09-04 Natural Sciences Non-Clinical Trial Non-degree Award
Omoding Jacob
ID: UNCST-2025-R017370
EFFECTS OF FLOODS ON FOOD PRODUCTION AND RURAL LIVELIHOOD IN SELECTED SUB-COUNTIES IN KUMI DISTRICT EASTERN UGANDA
REFNo: NS1306ES

Specific Objectives 1. To determine the natural and anthropogenic causes of floods within the study area by mapping flood-prone areas. 2. To characterize the frequency and magnitude of flood occurrence in the study area using GIS based flood mapping techniques and historical flood data. 3. To assess the effect of recent floods (years 2000 to 2020) on food production within the study area by mapping the areas affected by floods 4. To describe adaptive strategies employed by local communities to mitigate flood impacts on their livelihoods by mapping infrastructure, flood control measures, and flood-adapted farming practices
Uganda 2026-09-04 15:24:45 2029-09-04 Natural Sciences Non-Clinical Trial Degree Award
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