JANET KANTALAMA
ID: UNCST-2025-R016723
|
DETERMINING FAMILY RISK FACTORS AND THEIR PREVALENCE FOR SUBSTANCE ABUSE AMONG YOUNG ADULTS IN THE KAMPALA METROPOLITAN AREA IN UGANDA: TOWARD A CONCEPTUAL FRAMEWORK FOR PREVENTION AND INTERVENTION
REFNo: HS7095ES
General Objective
To identify and analyse family-related risk factors for substance abuse among young adults in the Kampala metropolitan area of Uganda, in order to develop a context-specific conceptual framework for prevention and intervention.
Specific Objectives:
1.To conceptualise family risk factors for substance abuse among young adults through a review of relevant literature.
2.To explore the perspectives of young adults who use or have used substances regarding family-related risk factors for substance abuse.
3.To explore the lived experiences and perspectives of parents, guardians, and caretakers of young adults who have abused substances regarding family-related risk factors.
4.To develop a preliminary checklist of family risk factors for substance abuse based on qualitative and theoretical insights.
5.To pilot and assess the face validity, content validity, and internal consistency reliability of the developed checklist.
6.To determine the prevalence of the identified family risk factors among a sample of young adults in the Kampala metropolitan area.
7.To examine correlations between key demographic variables and the prevalence of family risk factors.
8.To synthesise findings into a context-specific conceptual framework outlining salient family-related risk and protective factors for substance abuse. This framework will guide future research and inform targeted prevention and intervention strategies.
|
Uganda |
2026-03-10 10:49:11 |
2029-03-10 |
Medical and Health Sciences |
Non-Clinical Trial |
Degree Award |
|
SSEDYABANE FRANK
ID: UNCST-2022-R011175
|
OPTIMIZATION OF THE XPERT HPV ASSAY FOR DETECTION OF URINARY HPV IN UGANDA (u-HPV)
REFNo: HS7113ES
1. To optimize the pre-analytical steps (centrifugation, delayed testing, preservation, storage duration and temperature) of the Cepheid Xpert® HPV assay for detection of HPV in urine specimens among Ugandan women.
2. To evaluate the accuracy (diagnostic sensitivity, specificity, as well as positive and negative predicting values) of the optimized Cepheid Xpert urine HPV assay for detection of HPV in first void urine samples in Ugandan women using cervical brush specimens as the gold standard.
|
Uganda |
2026-03-10 10:47:36 |
2029-03-10 |
Medical and Health Sciences |
Non-Clinical Trial |
Non-degree Award |
|
Fred Kyeyune
ID: UNCST-2025-R021753
|
Evaluating non-subtype B HIV-1 reservoirs in patients with persistent low-level viremia Populations
REFNo: HS7152ES
Objectives:
Main Objective
1. The major goal of this study is to comprehensively characterize the latent HIV-1 reservoir in PLHIV who exhibit pLLV and are infected with non-subtype B viruses.
2. Estimate the inducible reservoir through envelope detection by induced transcription-based sequencing (EDITS) assay after CD4+ stimulation at baseline and 9 months.
3. Quantify cell-associated env RNA as a marker of ongoing replication at baseline and 9 months.
4. Assess reservoir clonality via near full-length sequencing and integration site analysis at baseline and 9 months.
Specific Objectives
1. Determine HIV-1 subtypes and co-receptor tropism through envelope gene sequencing at baseline and 9 months.
2. Assess drug resistance evolution via proviral DNA and plasma RNA sequencing at baseline and 9 months.
3. Monitor viral load and Tenofovir (TDF) drug levels to confirm adherence and persistence of LLV at baseline and 9 months.
4. Evaluate immune status by measuring CD4/CD8 counts and markers of activation, inflammation, and exhaustion at baseline and 9 months.
5. Measure intact proviral genomes using Intact Proviral RNA Assay ( IPDA) in CD4+ cells at baseline and 9 months.
|
|
2026-03-10 10:44:52 |
2029-03-10 |
Medical and Health Sciences |
|
Non-degree Award |
|
KIRUNGI RICHARD
ID: UNCST-2019-R001816
|
A MACHINE LEARNING-BASED ANOMALY DETECTION MODEL FOR ENHANCING INTRUSION DETECTION AND PREVENTION
ON UNIVERSITY NETWORK
REFNo: SIR622ES
1. To analyze and determine the challenges associated with Distributed Denial of Service and ARP-based cybersecurity threats encountered on the university network.
2. To evaluate the effectiveness of machine learning algorithms in detecting the DDoS and ARP-based cybersecurity threats identified in Objective 1, while identifying the limitations of traditional intrusion detection systems on the university network.
3. To develop a machine learning–based anomaly detection model for identifying DDoS and ARP-based threats on the university network identified in objective (1).
4. To validate the accuracy and effectiveness of the proposed machine learning–based intrusion detection and prevention model in analyzing real-time traffic on the university network.
|
Uganda |
2026-03-10 10:43:27 |
2029-03-10 |
Engineering and Technology |
Non-Clinical Trial |
Degree Award |
|
Martin Ariapa
ID: UNCST-2021-R013296
|
The drivers of teacher wellbeing and retention in contexts of protracted violence and displacement
REFNo: SS4796ES
Study objectives
To identify effective strategies for supporting teacher wellbeing and strengthening teacher retention in crisis-affected regions of Uganda.
Specific objectives
1. To examine how teachers and informal community networks mitigate the effects of violent conflict, displacement, and related crises on teacher wellbeing and retention in Uganda.
2. To analyse the role of school leadership and sub-national education governance mechanisms in supporting teacher wellbeing and retaining teachers in crisis-affected contexts.
3. To assess how institutionalised peer-based professional support and teacher professional development contribute to strengthening teacher wellbeing and retention in crisis-affected settings.
|
Uganda |
2026-03-10 10:39:05 |
2029-03-10 |
Social Science and Humanities |
Non-Clinical Trial |
Non-degree Award |
|
| View |
|
Sort By: |
|
|
|
| |
|