Publications by authors named "Mariam Basajja"

Pregnancy leads to a number of structural and functional changes in the urinary system, which makes females susceptible to urological complications. This review aims to discuss the epidemiology, complications and prevention and management of urinary tract infections (UTIs), kidney stones and bladder dysfunction in pregnancy. UTIs are the most common urological problem presenting in 10% of pregnant women; Escherichia coli is the most common causative organism.

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This review explores the integration of sustainable development goals (SDGs) into healthcare organizations in conflict zones, with a specific focus on emergent models aimed at improving population health. The primary objective is to examine how innovative approaches such as telemedicine, mobile health clinics, and community health worker initiatives can be aligned with SDG targets, thereby enhancing healthcare outcomes in conflict-affected regions. The review focuses on the important areas of concern which encompasses technology, infrastructure, community engagement, and social/psychological factors.

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Effective management of health crises requires public health preparedness and response, especially in urban settings where the complexity and scope of catastrophes provide considerable challenges. The integration of project management frameworks with public health policies is highlighted in this review, which investigates the optimization of emergency response systems using a project management methodology. The adoption of cutting-edge technologies that improve real-time monitoring, predictive analytics, and resource allocation such as artificial intelligence (AI), big data, and the Internet of Things (Io-T) is one of the main topics covered.

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The limited volume of COVID-19 data from Africa raises concerns for global genome research, which requires a diversity of genotypes for accurate disease prediction, including on the provenance of the new SARS-CoV-2 mutations. The Virus Outbreak Data Network (VODAN)-Africa studied the possibility of increasing the production of clinical data, finding concerns about data ownership, and the limited use of health data for quality treatment at point of care. To address this, VODAN Africa developed an architecture to record clinical health data and research data collected on the incidence of COVID-19, producing these as human- and machine-readable data objects in a distributed architecture of locally governed, linked, human- and machine-readable data.

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