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  
Ponsiano Ocama
ID: UNCST-2019-R000440
Hepatitis B and HIV Cure Consortium (BICC): A Multi-Country Prospective Observational Cohort of People with HIV and Hepatitis B (PWHHB) and People with HBV (PWHB)
REFNo: HS7337ES

The primary objective of this protocol is to establish a multi-country prospective observational cohort of people with HIV and Hepatitis B virus (PWHHB) and people with HBV (PWHB) to establish a repository of data and specimens to accelerate HBV cure research.
Uganda 2026-04-10 19:09:27 2029-04-10 Medical and Health Sciences Non-Clinical Trial Non-degree Award
Deogratius Ssemwanga
ID: UNCST-2025-R021563
Pathogen Genomics in Community and Aircraft Wastewater for Outbreak Preparedness and Response in Uganda
REFNo: HS7430ES


The main objective is to establish an integrated wastewater-based surveillance system using NGS and AI-based machine learning (ML) models to detect, monitor and predict the spread of pathogens of public health importance and AMR in Uganda.
To characterize the diversity and temporal patterns of pathogens present
in wastewater collected from community, abattoir and aircraft sources
over a 12-month period.
ii. To detect and profile AMR genes in wastewater samples.
iii. To develop and validate AI-based analytical pipelines for processing,
interpretation, and forecasting infectious disease trends in Uganda over
the study period.
iv. To track seasonal trends in circulating pathogens and AMR genes by
integrating genomic data with epidemiological and clinical data
v. To develop and validate an optimized long-read mNGS pipeline using the
Oxford Nanopore MinION platform for detection and characterization of
pathogens and associated AMR in wastewater samples collected from
community and aircraft sources in Uganda.
Uganda 2026-04-10 19:07:13 2029-04-10 Medical and Health Sciences Non-Clinical Trial Non-degree Award
Daniel Omuna
ID: UNCST-2025-R019635
CLIMATE VARIABILITY AND WATER SECURITY AMONG SELECTED COMMUNITIES IN KUMI DISTRICT, EASTERN UGANDA
REFNo: NS1160ES

i. To determine the effect of climate variability on surface and groundwater availability in Kumi district using GIS and remote sensing.
ii. To examine the effects of climate variability on accessibility to water in selected communities in Kumi district.
iii. To determine the portable water quality of both surface and ground water in Kumi district.
iv. To establish community resilience and adaptability to water insecurity caused by climate variability in Kumi district.

Uganda 2026-04-10 19:05:54 2029-04-10 Natural Sciences Non-Clinical Trial Degree Award
Flavia Zalwango Kabuye
ID: UNCST-2025-R022929
The role of participatory communication strategies in enhancing uptake of childhood routine immunization vaccines in intersectionally vulnerable communities in Uganda
REFNo: SS4954ES

1. To understand health communication preferences and patterns on Koome main island

2. To explore stakeholders’ perceptions of the effectiveness of participatory vaccine communication strategies used on Koome main island between 2020 and 2025

3. To propose culturally appropriate participatory strategies to enhance vaccine communication among intersectionally vulnerable communities in Uganda

Uganda 2026-04-10 19:01:37 2029-04-10 Social Science and Humanities Non-Clinical Trial Degree Award
Anthony Nsubuga Mutebi
ID:
The consequences of biodiversity loss and land use change on infectious disease emergence
REFNo: NS1176ES

Objectives
This project focuses on the understanding of epidemic emergence by dissecting the most initial processes and dynamics of infectious disease emergence in rural settings of seeding regions based on a multi-host and multi-pathogen system. Specifically, we will concentrate on the transition from pre-emergence to emergence based on a comprehensive and multidisciplinary approach by linking the fields of human and veterinary medicine, clinical virology, molecular biology, disease ecology and modelling. We aim to detect and model arbovirus infection and transmission patterns in mosquitoes, livestock (cattle and goats as hosts for Rift Valley fever virus and chicken as hosts for West Nile virus) and humans (hosts for Dengue virus, Chikungunya virus, Zika virus and Yellow fever virus) under varying ecological and socioeconomic conditions at the interface to natural biodiversity hotspots in order to identify common patterns and drivers of emerging diseases.
Defining early transmission dynamics is most critical for prevention and containment of local outbreaks before they cause epidemics or pandemics. Our specific objectives are:
(i) To provide a thorough phenotypic and molecular characterization of pre-epidemic virus variants including previously unknown viruses isolated from mosquitoes, livestock and humans from rural regions in Uganda at the interface to the main African ecosystem types, tropical lowland, gallery and montane forest. Pre-epidemic variants will be compared to their cosmopolitan counterparts aiming at identifying distinguishing characteristics evolved during the emergence process.
(ii) To study the genetic adjustment of pre-epidemic variants by analysing intra- and inter-host genetic diversity and selective pressures as drivers for virus evolution and diversification after spillover infections to new vectors and hosts.
(iii) To probe the host transcriptome response to infection with pre-epidemic arboviruses at the single cell level aiming to gain insight into the evolutionary fine scaling of arboviruses in the transition from pre-emergence to emergence.
(iv) To assess the influence of different socioeconomic and ecological factors for the risk of virus transmission and disease outbreaks through phylogeographic reconstruction of the virus spatial movement and ecological niche factor analysis.
(v) To model virus and host distribution as well as infection risk under current and future climatic and land use scenarios based on collected field data.

Uganda 2026-04-10 18:57:00 2029-04-10 Natural Sciences Non-Clinical Trial Non-degree Award
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