Publications by authors named "A Kiragga"
Background: Sexually Transmitted Infections (STIs) rank in the top 5 disease categories for which adults in developing countries seek healthcare services. Community pharmacies offer clients convenience, proximity, extended opening hours, privacy, and efficiency, which could make them desirable locations for HIV and STI screening and treatment. We examined the feasibility of using point-of-care (POC) STI tests for screening HIV and other STIs at community pharmacies.
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- AI/ML techniques like reverse vaccinology and predictive models have been successfully used to create vaccine candidates for diseases such as COVID-19, HIV, and Hepatitis, making the vaccine development process faster and more efficient.
- The use of AI and ML in health interventions, including drug discovery and clinical development, is growing in Africa, especially in countries like South Africa, Kenya, and Nigeria.
- To build a sustainable AI/ML ecosystem in Africa, there is a need for more initiatives focused on improving knowledge, enhancing collaboration, establishing strong regulatory and ethical guidelines, and investing in necessary infrastructure.
Understanding the dynamics of movements between different demographic events is essential for informing effective population management strategies. This study aims to characterize the trajectories of demographic and other vital events within the Nairobi Urban Health and Demographic Surveillance System (NUHDSS). Thus, it intends to unravel patterns and trends that can guide the development of targeted policies and interventions to address the population's evolving needs.
View Article and Find Full Text PDFIntroduction: In people living with HIV, adherence to antiretroviral therapy (ART) is essential for achieving and sustaining viral suppression and reducing mortality. In young people living with HIV, ART adherence and retention remain a challenge with unsatisfactory viral suppression rates despite facility-based intensive adherence counseling that is the standard of care. Few studies have evaluated mHealth adherence interventions among young people living with HIV in resource-limited settings.
View Article and Find Full Text PDFBackground: Longitudinal studies are essential for understanding the progression of mental health disorders over time, but combining data collected through different methods to assess conditions like depression, anxiety, and psychosis presents significant challenges. This study presents a mapping technique allowing for the conversion of diverse longitudinal data into a standardized staging database, leveraging the Data Documentation Initiative (DDI) Lifecycle and the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) standards to ensure consistency and compatibility across datasets.
Methods: The "INSPIRE" project integrates longitudinal data from African studies into a staging database using metadata documentation standards structured with a snowflake schema.