Publications by authors named "A Uwimana"
Background: Indoor residual spraying (IRS) has been implemented in Rwanda in districts with high malaria transmission, including Ngoma District. The first IRS campaign (IRS-1) was conducted in March 2019, ahead of the peak malaria season, followed by a second campaign (IRS-2) in August 2020, targeting 89,331 structures. This study assessed factors influencing IRS uptake and evaluated the impact of IRS interventions on malaria morbidity in Ngoma District, Eastern Province, Rwanda.
View Article and Find Full Text PDFBackground And Context: Community-Based Education (CBE) integrates practical experiences within community settings to deepen students' understanding of real-world issues. In July 2023, the University of Global Health Equity (UGHE) launched the Global Community-Based Education (G-CBE) program, designed to immerse international students in diverse settings across Rwanda and enhance their grasp of social determinants of health, community health and social medicine.
Objectives: This study explores the experiences and perceptions of the first cohort of the G-CBE program at UGHE.
Background: Recent healthcare advancements highlight the potential of Artificial Intelligence (AI) - and especially, among its subfields, Machine Learning (ML) - in enhancing Breast Cancer (BC) clinical care, leading to improved patient outcomes and increased radiologists' efficiency. While medical imaging techniques have significantly contributed to BC detection and diagnosis, their synergy with AI algorithms has consistently demonstrated superior diagnostic accuracy, reduced False Positives (FPs), and enabled personalized treatment strategies. Despite the burgeoning enthusiasm for leveraging AI for early and effective BC clinical care, its widespread integration into clinical practice is yet to be realized, and the evaluation of AI-based health technologies in terms of health and economic outcomes remains an ongoing endeavor.
View Article and Find Full Text PDFArticle Synopsis
- The study investigates how the shift from manual labor to machine-assisted work affects back muscle activity and spinal loading in rural farmers compared to urban office workers.
- Findings reveal that farmers experience significantly higher back muscle activity and variability in spinal loading, which is linked to greater back muscle endurance, a key factor for preventing back pain.
- The research suggests that the trend toward more sedentary occupations can lead to underuse of back muscles, increasing the risk of back pain, highlighting the need for more physical activity in both work and leisure.