Julius Ssendiwala
ID:
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Evaluation of the National PMTCT Group Antenatal Care/ Postnatal Care Differentiated Service Delivery model: Uganda 2021-2023
REFNo: SS2873ES
To estimate the cost of delivering the G-ANC/PNC DSD model of care as part of MCH service delivery for PBF AGYW and their infants by health facility level,To determine the acceptability, enablers and barriers of implementing the G-ANC/PNC model of care for PBF AGYW and their infants.,To determine the effectiveness of G-ANC/PNC DSD model of care on maternal and infant health outcomes across the continuum of care for mother-infant pairs, including retention rates.,To assess the uptake of G-ANC/PNC DSD model of care among PBF AGYWs,To measure the uptake, effectiveness and cost of the G-ANC/PNC DSD model of care for PBF AGYW and their infants for program improvement.,
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Uganda |
2024-07-17 12:07:59 |
2027-07-17 |
Social Science and Humanities |
Non-Clinical Trial |
Non-degree Award |
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Philip Rwezawula
ID: UNCST-2024-R003279
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Probiotics and Bacteriophages as Biocontrol Agents of Motile Aeromonad Septicaemia in Nile Tilapia: A Holistic Approach to Disease Management in Aquaculture
REFNo: A451ES
To evaluate the synergistic effects of combining lytic phages with local probiotic Bacillus spp. on the growth performance and survival rates of Nile tilapia in the field under conditions of Aeromonas hydrophila exposure ,To evaluate the synergistic effects of combining lytic phages and local probiotic Bacillus spp. under lab conditions to prevent and/or cure MAS in Nile tilapia,To verify the potential of local lytic bacteriophages and probiotic Bacillus spp. to prevent or mitigate Motile Aeromonad Septicaemia (MAS) in farmed Nile tilapia under lab conditions,Isolation and characterization of local probiotic Bacillus spp. and local lytic bacteriophages,to assess the potential of bacteriophages and probiotics as biocontrol agents of Motile Aeromonad Septicaemia (MAS) in farmed Nile tilapia (Oreochromis niloticus). ,
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Uganda |
2024-07-17 12:06:50 |
2027-07-17 |
Agricultural Sciences |
Non-Clinical Trial |
Degree Award |
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Faith Nawagi
ID: UNCST-2021-R013751
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AFREhealth-FAIMER Interprofessional Education Student Exchange Program Evaluation Plan.
REFNo: HS4461ES
The AFREhealth-FAIMER IPE program evaluation aims to assess the key process factors required for implementation of an IPE elective program, impact and the outcomes of the program at the student, faculty, institutional, and AFREhealth Network levels.,4. To document the key process factors of developing and implementing the AFREhealth-FAIMER IPE elective program. ,3. To identify the outcomes of the AFREhealth–FAIMER IPE elective program on the participating institutions and AFREhealth as an organization at large.,2. To evaluate the participating faculty, students, program managers, institutional leaders, and AFREhealth leaders’ perspectives on the AFREhealth-FAIMER IPE elective program curriculum. ,1. To establish the IPECP skills gained by the students participating in the AFREhealth-FAIMER IPE elective program. ,
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Uganda |
2024-07-17 12:04:18 |
2027-07-17 |
Medical and Health Sciences |
Non-Clinical Trial |
Non-degree Award |
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Anxious Niwaha Jackson.
ID: UNCST-2023-R008010
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Patho-physiologic and metabolic characterisation of Lean Diabetes in Uganda (LEAN-D study)
REFNo: HS4533ES
1. To establish the principal cause of hyperglycemia in lean SSA diabetes. (Hyperglycemia is high blood sugar)
2. To determine the association between biomarkers of beta cell function, and body composition and lean type 2 diabetes.
3. To establish if Persistent Organic Pollutants are present in sufficient levels in individuals with lean SSA diabetes to contribute to the process of developing diabetes.
4. To translate knowledge products into formats that are accessible and usable by key stake holders to enhance lean diabetes diagnosis, and inform policy and intervention strategies.
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Uganda |
2024-07-15 8:24:33 |
2027-07-15 |
Medical and Health Sciences |
Non-Clinical Trial |
Non-degree Award |
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Allan Kalungi
ID: UNCST-2022-R009843
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Genetic, Biological and Psychosocial predictors of Incident and Persistent Internalizing Mental Disorders among Ugandan Children and Adolescents living with HIV: A Machine Learning Approach.
REFNo: HS4521ES
1. To build a machine learning model for prediction of prevalent, incident, and persistent cases of Internalizing Mental Disorders among Ugandan children and adolescents living with HIV.
2. To evaluate the performance of the machine learning model (developed in 1 above) based on each of genetic, biological, and psychosocial factors respectively.
3. To evaluate the performance of the machine learning model based on the combination all the three factor domains of genetic, biological, and psychosocial factors.
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Uganda |
2024-07-15 8:22:11 |
2027-07-15 |
Medical and Health Sciences |
Non-Clinical Trial |
Non-degree Award |
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