Evelina Griniute
ID: UNCST-2026-R024219
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Who is Watching? Social Audiences and Demand for Menstrual Health Technologies
REFNo: SS5335ES
Main Research Objective
Examine how social context and information provision shape women’s demand for
various menstrual health technologies in Uganda.
Specific Objectives
• Assess how willingness to pay varies across different types of menstrual products.
• Estimate how social visibility – operationalized as whether the purchase decision is
observed by a female peer or by the woman’s husband or partner — shapes women’s
willingness to pay for different menstrual products.
• Estimate how the provision of targeted information on product attributes (in particular
long-term cost) shapes women’s willingness to pay for different menstrual products.
• Estimate how social context and information provision interact, in particular whether
social observation moderates (attenuates or amplifies) the effect of information
provision on willingness to pay.
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Lithuania |
2026-08-24 6:24:50 |
2029-08-24 |
Social Science and Humanities |
Non-Clinical Trial |
Non-degree Award |
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GLORIA CUU
ID: UNCST-2024-R002669
|
PLASMODIUM FALCIPARUM PHENOTYPIC AND GENETIC
SUSCEPTIBILITY PROFILES TO ARTEMISININS AND PARTNER DRUGS
IN SOUTHWESTERN UGANDA
REFNo: HS7271ES
1. To assess the ex vivo susceptibility of P. falciparum clinical isolates to standard antimalarial drugs in a low-malaria transmission region of southwestern Uganda.
2. To characterize genetic variation in genes mediating resistance to artemisinin and partner drugs and assess their correlation with ex vivo drug susceptibilities in P. falciparum isolates collected from low-malaria transmission regions of southwestern Uganda
3. To validate the role of candidate single nucleotide polymorphisms in PfK13 gene to artemisinin partial resistance in P. falciparum clinical isolates from southwestern Uganda
4. To assess the effect of artemisinin and partner drug mutations on fitness of P. falciparum clinical isolates from southwestern Uganda
|
Uganda |
2026-08-24 6:22:49 |
2029-08-24 |
Medical and Health Sciences |
Non-Clinical Trial |
Degree Award |
|
James Kakande
ID:
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Endline Evaluation of the National Cancer Management and Capacity Building Project in Uganda (CANCAP-UG)
REFNo: SS5864ES
1. To assess coverage in cervical cancer screening services following project implementation.
2. To evaluate improvements in healthcare worker knowledge, competencies, and clinical capacity for cervical cancer prevention, screening, diagnosis, treatment, and referral.
3. To examine the effectiveness and efficiency of training, supportive supervision, referral systems, cancer information systems, and community engagement activities in strengthening cancer service delivery.
4. To assess changes in community awareness and utilization of cervical cancer screening services.
5. To assess the increase in level of Knowledge, Awareness and Practices (KAP) toward cervical cancer of the community and health professionals.
6. To evaluate improvements in healthcare facility readiness, referral systems, and cancer data management.
7. To assess the sustainability of the project's achievements and identify recommendations for future cancer control programs in Uganda.
|
Uganda |
2026-08-24 15:10:45 |
2029-08-24 |
Social Science and Humanities |
Non-Clinical Trial |
Non-degree Award |
|
Shallon Ahimbisibwe
ID: UNCST-2025-R022235
|
An Interpretable Kernel Hybrid Approach for Early Detection of Postpartum Depression
REFNo: SIR768ES
Main Objective
The main objective of this study is to develop, evaluate, and clinically validate an interpretable kernel hybrid machine learning–based screening tool, together with a prototype mobile application, for early identification and risk stratification of postpartum depression among postpartum women in Uganda using routinely collected health data.
Specific Objectives
i.To conduct a scoping review of machine learning approaches for postpartum depression detection in low- and middle-income countries, with emphasis on Sub-Saharan Africa, in order to map existing evidence, identify methodological gaps, and inform the design of the proposed kernel hybrid model.
ii.To design and develop a hybrid predictive model that integrates Kernelized Support Vector Machines and Gaussian Process models for accurate early detection of postpartum depression.
iii.To evaluate the performance of the proposed hybrid model using appropriate predictive metrics to assess its accuracy, robustness, and generalization to unseen data.
iv.To clinically validate the proposed kernel hybrid machine learning model and prototype mobile screening application by comparing model predictions against a reference standard defined by the Edinburgh Postnatal Depression Scale (EPDS) scores and, where available, clinician-documented postpartum depression assessments at the selected health facilities.
|
Uganda |
2026-08-24 13:48:08 |
2029-08-24 |
Engineering and Technology |
Non-Clinical Trial |
Degree Award |
|
Huzaifah Mutyaba
ID: UNCST-2026-R027389
|
Urban Waste Governance in Fort Portal City: A Rapid Evaluation of Disposal Practices and Management Structures
REFNo: HS8446ES
General Objective:
To evaluate the effectiveness of urban waste governance in Fort Portal City by examining the roles and responsibilities of institutions, prevailing waste disposal practices, identifying systemic gaps, and assessing community awareness, participation, and compliance with waste
management policies and practices.
Specific Objectives:
1.To explore the roles,responsibilities, and effectiveness of institutions and stakeholders involved in urban waste management.
2. To evaluate the prevailing waste disposal practices among households, businesses, institutions, and informal waste actors in Fort Portal City.
3. To identify governance, regulatory, infrastructural, and behavioural gaps that hinder effective waste management.
4. To explore level of community
awareness, participation, and compliance with existing waste management policies and practices.
|
Uganda |
2026-08-24 13:46:12 |
2029-08-24 |
Medical and Health Sciences |
Non-Clinical Trial |
Non-degree Award |
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