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  
Brian Turigye
ID: UNCST-2021-R012569
Determining the Prevalence and Risk Factors Associated with Hepatitis B Infection in Bugoye Sub County, of Kasese District in Western Uganda
REFNo: HS1900ES

1.Estimate the prevalence of hepatitis B infection in Bugoye sub-county. 2.Identify the risk factors associated with hepatitis B infection in Bugoye sub-county. 3.Explore the knowledge of and attitudes towards hepatitis B in Bugoye sub-county
Uganda 2022-01-17 2025-01-17 Medical and Health Sciences Non-Clinical Trial Degree Award
Esther Atukunda Cathyln
ID: UNCST-2019-R001701
SHINE - Exploring Intersectional Stigmas Among Men Living with HIV in Uganda
REFNo: HS1964ES

The primary objective in this study is to explore experiences of intersectional stigma among MWH and their partners who have unmet reproductive goals.
Uganda 2022-01-17 2025-01-17 Medical and Health Sciences Non-Clinical Trial Non-degree Award
REBECCA NANTANDA
ID: UNCST-2019-R001533
Children’s Air Pollution Profiles in Africa (CAPPA)
REFNo: HS1695ES

• To collect personal air pollution exposure data, activity profiles, and lung function measurements from a total of 420 children with asthma symptoms aged between 12 and 16 years in 7 African cities.
• To analyse personal air pollution data for exposure patterns and peak exposures, and to compare air pollution as well as activity profiles of children in relation to their socioeconomic and geographical backgrounds both within and between countries and compare with measured data from school-age children in London
• To explore potentially detrimental effects of air pollution, and feasibility of mitigation strategies in children with asthma symptoms.


Uganda 2022-01-14 2025-01-14 Medical and Health Sciences Non-Clinical Trial Non-degree Award
Kirsten Beyer M
ID: UNCST-2021-R013472
Exploring the impact of COVID-19 on cancer prevention and control service delivery in Uganda
REFNo: SS1098ES

The proposed study seeks to explore how COVID-19 has impacted cancer prevention and control activities and COVID-19 vaccination access and distribution in Uganda across the cancer continuum. 1. Investigate health care professionals’ perceptions regarding: a. How COVID-19 has impacted the provision and use of cancer treatment and preventive services. b. Their own personal fears about COVID-19, and fears and misconceptions they’ve encountered among their patients relating to COVID-19 impacting prognosis c. COVID-19 vaccination and its accessibility, coverage and distribution to cancer patients d. The impact of COVID-19 on data collection and analysis activities that support cancer prevention and control 2. Investigate patients’ perceptions regarding: a. How COVID-19 has impacted the provision and use of cancer treatment and preventive services b. COVID-19 vaccination access and distribution to cancer patients c. Fears about how COVID-19 impacts their cancer diagnosis and prognosis
USA 2022-01-14 2025-01-14 Social Science and Humanities Non-Clinical Trial Non-degree Award
Akampurira Paul
ID:
TOWARDS ENSEMBLE CLASSIFICATION ALGORITHMS FOR DIAGNOSIS OF BREAST CANCER IN WOMEN: A COMPARATIVE APPROACH
REFNo: SIR64ES

General objective
To design an ensemble model from heterogeneous base learners for detecting breast cancer to reduce the error rate on diagnosis, reduce the time taken to reach a diagnosis and also accurately predict a future risk of the disease.


Specific objectives
1. To establish requirements for designing machine learning model for diagnosing breast cancer in women with abnormal breast masses.
2. To design classification models for diagnosing breast cancer in women with abnormal breast masses.
3. To Evaluate the performance of the designed models and establish a better model for diagnosing breast cancer in women with abnormal breast masses.
4. To develop an ensemble model from the evaluated classification algorithms for breast cancer diagnosis in women.



Uganda 2022-01-12 2025-01-12 Engineering and Technology Non-Clinical Trial Degree Award
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"A prosperous Science and Technology Led Ugandan Society."