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  
BYONA STELLA MARY
ID: UNCST-2024-R002159
ICT and E-Passport management in Uganda Immigration Service: A case of Directorate of Citizenship and Immigration Control (2008-2023)
REFNo: SS3210ES

General Objective
The study analyses the effect of ICT and E-Passport Management as a shift from the Machine Readable Passport to the E-Passport in relation to the citizens’ accessibility and the use of a National ID as a new requirement for the Passport in Uganda.
Specific Objectives
1. To understand the Preparedness of Immigration Service Office in the use of ICT and E-Passport as a shift from the Machine Readable Passport to the E-Passport in Uganda.
2. To analyze the citizens’ accessibility to the use of ICT and E-Passport as a new technology innovation in Uganda.
3. To assess the effect of the use of the National ID as a new requirement for the E-Passport in Uganda.


Uganda 2024-10-23 18:01:16 2027-10-23 Social Science and Humanities Non-Clinical Trial Degree Award
Edgar Mulogo Mugema
ID: UNCST-2023-R008170
After the flood: Optimal Strategies to Prevent Malaria Epidemics Caused by Severe Flooding
REFNo: HS5041ES

1. Determine the effectiveness of chemoprevention with or without peri-domestic larvicide application to reduce the incidence of P. falciparum malaria after severe flooding. 2. Elucidate the dynamics of vector populations, feeding behaviors, and sporozoite rate in affected villages up to one year after flooding. 3.Evaluate the relative cost-effectiveness of chemoprevention (Aim 3A) and assess social and economic impacts on households.,The objective of this proposal is to evaluate the effectiveness of a targeted, time-limited malaria chemoprevention intervention with and without complementary larval source management (LSM) to reduce excess disease burden in a perennial, high-transmission setting where severe flooding is frequent and relatively predictable. ,
Uganda 2024-10-23 18:00:25 2027-10-23 Medical and Health Sciences Non-Clinical Trial Non-degree Award
Ruth Kigozi Nassali
ID: UNCST-2021-R013025
Optimizing malaria programming through quality routine surveillance: evaluating a package of data quality and use interventions in Uganda
REFNo: HS5054ES

2. To understand the main challenges and enablers to data quality and use improvements and their sustainability,1. To assess the quality and use of routine health facility malaria data in target districts before, during and after implementation of a package of interventions ,The study aims to improve the quality and use of routine malaria data in two districts of Uganda,
Uganda 2024-10-23 17:59:08 2027-10-23 Medical and Health Sciences Non-Clinical Trial Non-degree Award
Rachel Byarugaba
ID: UNCST-2024-R003083
CONSUMER PREFERENCES OF PROCESSED LEAF AMARANTH (AMARANTHUS SPP.) PRODUCTS
REFNo: A470ES

This main objective of the study is to determine the factors influencing the consumer preferences of processed leaf amaranth products by considering both emotional and sensory profiling. The objectives are to: 1) measure the consumers’ sensory perceptions and emotional responses to the products 2) investigate the relationship between the sensory and emotional attributes of the products and liking 3) examine the influence of food neophobia on the acceptability and emotional responses of the products.
Uganda 2024-10-23 17:57:44 2027-10-23 Agricultural Sciences Non-Clinical Trial Degree Award
Rhona Mijumbi M
ID: UNCST-2023-R006843
Digital Gender-Inclusive Tools for Evidence Use
REFNo: SIR425ES

To pilot and test the digital gender tools in (3) to improve the timeliness, efficiency, and effectiveness of evidence-informed decision-making processes,To apply newer technologies, such as Artificial intelligence and machine learning in the design and/ or modification of new and/ or existing digital tools to enhance the efficiency and effectiveness within EIPM processes,To identify existing digital tools and new digital technologies, such as Artificial intelligence and machine learning, that facilitate the timeliness, efficiency, and effectiveness of evidence-informed decision-making processes,To map the demand and opportunities for digital gender tools in evidence-informed decision-making processes with an aim of improving the timeliness, efficiency, and effectiveness of evidence-to-policy,To explore the role of- and develop digital gender-inclusive tools to enhance the timeliness, efficiency, and effectiveness of evidence-informed decision-making processes.,
Uganda 2024-10-23 17:48:16 2027-10-23 Engineering and Technology Non-Clinical Trial Non-degree Award
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