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  Arinaitwe
ID: UNCST-2021-R011754
Advancing Spatial Repellents for Vector-borne Disease Control: Effectiveness of a SR under operational use in Northern Uganda
REFNo: HS3029ES

The primary objective of the study is to demonstrate and quantify the effectiveness of a single SR product, in reducing malaria infection in human cohorts under operational programme conditions. The study design will be a prospective, cluster randomized control trial
Uganda 2023-10-02 15:51:05 2026-10-02 Medical and Health Sciences Non-Clinical Trial Non-degree Award
Ulrike Lühe
ID:
The politics of documentation and archiving: conflict and transitional justice archives in Uganda
REFNo: SS1924ES

Understand the impact of international TJ interventions in how the LRA conflict has been documented,Understand the interaction between international and local actors in conflict documentation,Understand documentation and archival practices at different levels if TJ governance,
Germany 2023-10-02 15:46:58 2026-10-02 Social Science and Humanities Non-Clinical Trial Non-degree Award
Andrew Odur
ID: UNCST-2022-R009128
A RANDOMIZED CONTROL TRIAL TO DETERMINE THE EFFICACY OF MACHINE LEARNING MODELS TO PREDICT POSTPARTUM HEMORRHAGE
REFNo: HS3132ES

Determine whether earlier knowledge of the high-risk patient likelihood of morbidity can change clinical management to better outcomes,Demonstrate the efficacy of a mobile app prediction-based platform in informing clinical judgment,Determine the suitability of mobile app-based platform integration into the clinical workflow of African obstetricians,Determine the efficacy of ML models to predict the likelihood of pregnancy complications among African mothers,We aim to conduct a randomized control trial to determine the efficacy of machine learning models to predict postpartum hemorrhage to potentially establish a new gold standard way of screening patients in low-resource settings,
Uganda 2023-10-02 15:32:14 2026-10-02 Medical and Health Sciences Clinical Trial Non-degree Award
Florence Adong
ID: UNCST-2023-R007219
Increasing access to mental health services among children and young people using the stepped care model in Agago District.
REFNo: SS1981ES

To assess the efficacy of stigma reduction in increasing access to mental health services among children and young people in schools.,To assess the level of psychological distress (depression and anxiety) among children and young people in schools. ,To assess the effectiveness of stepped care model in managing symptoms of depression and anxiety among young people in schools. ,To assess the effectiveness of stepped care model in increasing access to mental health services among children and young people in schools.,
Uganda 2023-10-02 15:29:34 2026-10-02 Social Science and Humanities Non-Clinical Trial Non-degree Award
Juliet Kyayesimira
ID:
STATUS OF RESEARCH MANAGEMENT AND ADMINISTRATION IN UGANDA
REFNo: SS1868ES

1. To describe the level of the awareness among research actors of national, regional and global standards in research and research management.
2. To examine the factors shaping research funds acquisition, management and administration.
3. To assess the ability of the researchers to manage engagement, research uptake and impact of research products and innovations.

Uganda 2023-09-29 18:06:00 2026-09-29 Social Science and Humanities Non-Clinical Trial Non-degree Award
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"A prosperous Science and Technology Led Ugandan Society."