Michalina Montano
ID:
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MEASURING THE BURDEN OF HIV IN ADULT CANCER PATIENTS IN SUB-SAHARAN AFRICA, AND IDENTIFYING BARRIERS AND FACILITATORS TO COORDINATION OF HIV AND CANCER CARE: PLANNING FOR A PRAGMATIC CLINICAL TRIAL
REFNo: HS2068ES
1. To determine the prevalence of treated and untreated HIV, and undocumented HIV and ART status among patients with new cancer diagnoses in sub-Saharan Africa (SSA).
2. To refine estimates of treated and untreated HIV in cancer patients and describe missingness of HIV and ART status.
3. To identify current practices and systems-based barriers and facilitators to providing HIV care at cancer centers, and acceptability and feasibility of integrating HIV care in cancer care settings.
4. To develop a study design and strategy for a multi-country pragmatic effectiveness-implementation trial to test strategies for coordinating ART initiation and maintenance with cancer care at cancer centers.
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USA |
2022-08-02 11:36:33 |
2025-08-02 |
Medical and Health Sciences |
Non-Clinical Trial |
Non-degree Award |
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Simran Prasad
ID:
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The effect of dispersal patterns and reproductive skew of male vervets (Chlorocebus pygerythrus) on population genetic diversity.
REFNo: NS351ES
The objective is to assess the population genetic diversity and the factors that influence the genetic variation by determining the dispersal patterns between groups and the reproductive skew of wild male vervet monkeys (Chlorocebus pygerythrus).
|
Canada |
2022-08-01 13:21:42 |
2025-08-01 |
Natural Sciences |
Non-Clinical Trial |
Degree Award |
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REBECCA NANTANDA
ID: UNCST-2019-R001533
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Evaluating the implementation and clinical outcomes of a mobile health tool to guide management of acute respiratory illnesses in young children
REFNo: HS2004ES
1.To evaluate outcomes of implementation following deployment of the refined Acute Lower Respiratory Illness Treatment Evaluation (ALRITE) mHealth decision support tool in routine clinical practice in two primary care health facilities in Uganda.
2.To further refine the ALRITE user interface, algorithm, and implementation strategy using feedback from objective 1 in order to create a fully functional mHealth application ready for use in primary care facilities in Uganda.
3.To explore clinical and care delivery outcomes, in children aged 1-59 months, before and after ALRITE deployment.
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Uganda |
2022-08-01 13:20:32 |
2025-08-01 |
Medical and Health Sciences |
Non-Clinical Trial |
Non-degree Award |
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Moses Wankiiri
ID:
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IMPROVING DISCHARGE PLANNING TO REDUCE READMISSION OF PATIENTS WITH MENTAL ILLNESS IN UGANDA.
REFNo: HS2061ES
1. To review existing literature of mental health discharge planning practices and outcomes.
2. To evaluate the existing practice of mental health care workers regarding discharge planning of patients with mental illness in Butabika National Referral Hospital in Uganda.
3. To develop guidelines for discharge planning to be used by mental health care workers to reduce readmission of patients with mental illness in Uganda.
4. To validate guidelines for discharge planning to be used by mental health care workers to reduce readmission of patients with mental illness in Uganda.
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Uganda |
2022-07-29 11:28:42 |
2025-07-29 |
Medical and Health Sciences |
Non-Clinical Trial |
Degree Award |
|
Gooreka Okahaabwa
ID:
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Contextual Factors for Peer Victimization of High School Students in Mukono
REFNo: HS2363ES
To compare the magnitude of peer victimization by contextual factors, among high school students in Mukono district.,To investigate the perspectives of peer victimization among high school students in Mukono district.,To explore the lived experiences of peer victimization among high school students in Mukono district,To determine the magnitude of peer victimization among high school students in varied contexts in Mukono District, The objective of this study is to investigate the magnitude of peer victimization and its contextual factors among high school students in Mukono, Uganda.,
|
Uganda |
2022-07-28 9:27:59 |
2025-07-28 |
Medical and Health Sciences |
Non-Clinical Trial |
Non-degree Award |
|
Loyce Asire Allen
ID:
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Stakeholders’ Interventions in Addressing the Socioeconomic Barriers to Refugee Women Access to Higher Education: A Case of Bidibidi in Northern Uganda
REFNo: SS1369ES
Main objective
To explore stakeholders’ interventions in addressing the socioeconomic barriers to refugee women’s access to higher education in Uganda with Bidibidi settlement as a case study.
Specific objectives
1. To investigate stakeholders’ interventions towards addressing gender roles and norms that obstruct Bidibidi refugee women’s access to higher education;
2.To establish stakeholders’ interventions towards addressing sexual violence that obstructs Bidibidi refugee women access to higher education;
3.To examine stakeholders’ interventions in addressing financial constraints that obstruct Bidbibidi refugee women access to higher education.
|
Uganda |
2022-07-28 9:26:23 |
2025-07-28 |
Social Science and Humanities |
Non-Clinical Trial |
Degree Award |
|
Douglas Bulafu
ID: UNCST-2021-R011774
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Awareness on occupational biohazards, and utilization of Personal Protective Equipment among sanitation workers in fecal waste management plants in Uganda
REFNo: HS2352ES
To explore the barriers and facilitators to utilization of personal protective equipment among sanitation workers in fecal waste management plants. ,To establish the level of utilization of personal protective equipment among sanitation workers in fecal waste management plants.,To determine the level of awareness of occupational biohazard risks among sanitation workers in fecal waste management plants.,To assess the awareness of occupational biohazard risks and utilization of personal protective equipment among sanitation workers in fecal waste management plants in regional cities in Uganda.,
|
Uganda |
2022-07-28 9:21:28 |
2025-07-28 |
Medical and Health Sciences |
Non-Clinical Trial |
Non-degree Award |
|
Chris. Opesen Columbus
ID:
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Baseline Study for Our Rights, Our Lives, Our Future Plus (O3 Plus) Project in Uganda
REFNo: SS1354ES
Using the findings of the baseline study, the results framework will be completed with baseline indicator data and the correct data sources.,In addition, the baseline will collect comprehensive information on health service delivery for young people in line with existing national youth friendly service (YFS) guidelines and standards,Specifically, the baseline study will provide both quantitative and qualitative indicator data in-line with the proposed results framework as appropriate, and additionally provide an assessment of readiness of HTEIs to provide data for the result framework ,The purpose of this baseline study is to provide an information base against which to monitor and assess progress during implementation and after completion. ,
|
Uganda |
2022-07-28 9:19:52 |
2025-07-28 |
Social Science and Humanities |
Non-Clinical Trial |
Non-degree Award |
|
CHRISTINE NAMULINDWA ODWORI
ID:
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EVALUATION OF PERFORMANCE OF COVID-19 TESTING CAPACITIES IN CLINICAL LABORATORIES IN UGANDA
REFNo: HS2252ES
iv. To evaluate the performance of COVID-19 public health capacity in clinical laboratories in Kampala district.,ii. ToTo evaluate the performance of COVID-19 data management capacity in clinical laboratories in Kampala district.,iii. To evaluTo evaluate the performance of COVID-19 biorisk management capacity in clinical laboratories in Kampala district.,To evaluate the performance of COVID-19 testing function in clinical laboratories in Kampala district,To evaluate the performance of COVID-19 testing capacities among clinical laboratories in Kampala.,
|
Uganda |
2022-07-28 9:18:11 |
2025-07-28 |
Medical and Health Sciences |
Non-Clinical Trial |
Degree Award |
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Isa Kabenge
ID: UNCST-2021-R011727
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Machine learning for estimating sources and sinks: Developing cloud computing-based, artificially intelligent algorithms to quantify livestock and biomass for management of GHG emissions
REFNo: SIR91ES
Objectives:
The overall objective of the proposed project is to develop a novel methodology quantifying GHGs Inventory for a particular area by optimizing application of remote sensing, machine learning and artificial intelligence to quantify ranging animals as sources, above ground biomass and ground as sinks and incorporates animal management system.
Specific Objectives:
1) To develop an algorithm that optimizes, machine learning and artificial intelligence to quantify ranging animals, from remotely sensed imagery.
2) To develop an algorithm that optimizes, machine learning and artificial intelligence to index animal management systems, from remotely sensed imagery.
3) To develop an algorithm that optimizes, machine learning and artificial intelligence to quantify above ground biomass and ground, from remotely sensed imagery.
4) To develop a novel artificially intelligent algorithm for quantifying GHGs Inventory for a particular area by integrating, number of animals as sources, above ground biomass and ground as sinks and animal management system indexes quantified from remotely sensed imagery.
|
Uganda |
2022-07-28 9:16:58 |
2025-07-28 |
Engineering and Technology |
Non-Clinical Trial |
Non-degree Award |
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