Background: Antimicrobial resistance (AMR) is a growing public health threat, particularly in Africa, where it increasingly poses a greater risk than HIV/AIDS, tuberculosis, and malaria. Despite global efforts through initiatives like the Global Antimicrobial Resistance Surveillance System (GLASS) and the Global Action Plan (GAP), Africa continues to face significant surveillance and implementation challenges. This study aims to explore AMR surveillance trends, identify persistent challenges, and propose actionable recommendations. Methods: A comprehensive review of both published and grey literature was conducted using databases including PubMed, Google Scholar, and WHO AMR resources. Additionally, data from the Tracking AMR Country Self-Assessment Survey (TrACSS) were analysed to evaluate the progress of AMR surveillance systems in Africa. Results: By 2024, 96% of African countries had developed National Action Plans, with 74% initiating implementation. However, only 47% had functional multisectoral and One Health coordination mechanisms. While 95.7% of countries could perform antimicrobial susceptibility testing (AST) for critically important bacteria, only 51.1% had capacity for fungal AST. Furthermore, 10.6% lacked a national surveillance system for AMR in humans, and AMR surveillance in animals remains significantly underdeveloped. Key challenges include inadequate laboratory infrastructure, insufficient funding, fragmented data systems, a shortage of skilled personnel, and weak intersectoral collaboration. Conclusion: Despite notable progress, major gaps hinder effective AMR surveillance and control in Africa. Strengthening laboratory systems, improving data collection, enhancing workforce capacity, enforcing supportive policies, and fostering sustained regional collaboration and funding are essential to mitigate the growing threat of AMR across the continent.
Background: Cardiovascular disease (CVD) remains a leading cause of morbidity and mortality in Africa, accounting for over 1 million deaths annually. This burden is worsened by urbanization, modern lifestyle changes, limited healthcare access, and underreporting due to inadequate diagnostic tools. As CVD prevalence rises, Africa faces challenges in prevention, diagnosis, and management, particularly in rural areas. Addressing this crisis requires innovative approaches, and artificial intelligence (AI) has emerged as a transformative solution. Main Body: AI offers opportunities to revolutionize cardiovascular care by improving diagnostic accuracy and enabling personalized treatments. Predictive analytics, machine learning, and telemedicine can process structured and unstructured data from m-Health applications, wearable devices, and hospital records to facilitate early detection. Advanced applications, such as genome-wide association studies (GWAS) and precision medicine, further enhance genetic analysis and optimize treatment. Despite its advantages, AI integration faces challenges, including inadequate infrastructure, high implementation costs, and limited digital literacy among healthcare providers. Data privacy concerns remain critical, with only 36 of 55 African countries enacting data protection laws. Policy and funding constraints further hinder AI adoption, especially in rural areas. Conclusion: To overcome these barriers, Africa must develop ethical standards for data use, invest in workforce training, and strengthen healthcare infrastructure. Public-private partnerships and global collaborations are essential for capacity building and securing funding. Also, successful AI applications in some African countries and around the world can be modeled across Africa to improve cardiovascular health outcomes.