The HIV epidemic remains a public health challenge in Nigeria, with about 1.9 million people living with the virus in 2020. Despite progress in controlling the epidemic, challenges remain, including inadequate funding and limited access to prevention and treatment services for key populations. This article provides an overview of the HIV control system in Nigeria and the current state of the HIV control system in Nigeria. It provides recommendations for strengthening the response to the epidemic. Contributions of government agencies, international partners, and civil society organizations are required to reduce this epidemic. This article highlights the need to strengthen surveillance systems, increase access to testing and treatment, enhance prevention strategies, address stigma and discrimination, increase funding, and expand research and development. The impact of antiretroviral therapy on HIV management is also discussed. Over the last decade, Nigeria has made significant progress in controlling the HIV epidemic, with a decline in new infections and increased treatment coverage. However, more work is needed to achieve the 95-95-95 targets set by the joint united nations programme on HIV/acquired immunodeficiency syndrome for 2030, and a multi-pronged approach is required to address the social and structural determinants of health that drive the epidemic. By implementing the recommendations outlined in this article, Nigeria can make significant progress towards ending the HIV epidemic and improving the quality of life for those living with the virus.
Neurosurgeons receive extensive technical training, which equips them with the knowledge and skills to specialise in various fields and manage the massive amounts of information and decision-making required throughout the various stages of neurosurgery, including preoperative, intraoperative, and postoperative care and recovery. Over the past few years, artificial intelligence (AI) has become more useful in neurosurgery. AI has the potential to improve patient outcomes by augmenting the capabilities of neurosurgeons and ultimately improving diagnostic and prognostic outcomes as well as decision-making during surgical procedures. By incorporating AI into both interventional and non-interventional therapies, neurosurgeons may provide the best care for their patients. AI, machine learning (ML), and deep learning (DL) have made significant progress in the field of neurosurgery. These cutting-edge methods have enhanced patient outcomes, reduced complications, and improved surgical planning.
Juvenile idiopathic arthritis (JIA) is a chronic clinical condition characterized by arthritic features in children under the age of 16, with at least 6 weeks of active symptoms. The etiology of JIA remains unknown, and it is associated with prolonged synovial inflammation and structural joint damage influenced by environmental and genetic factors. This review aims to enhance the understanding of JIA by comprehensively analyzing relevant literature. The focus lies on current diagnostic and therapeutic approaches and investigations into the pathoaetiologies using diverse research modalities, including in vivo animal models and large-scale genome-wide studies. We aim to elucidate the multifactorial nature of JIA with a strong focus towards genetic predilection, while proposing potential strategies to improve therapeutic outcomes and enhance diagnostic risk stratification in light of recent advancements. This review underscores the need for further research due to the idiopathic nature of JIA, its heterogeneous phenotype, and the challenges associated with biomarkers and diagnostic criteria. Ultimately, this contribution seeks to advance the knowledge and promote effective management strategies in JIA.
Nanoscience and technology have shown promise in revitalizing the agricultural sector and industries. This tool has gained the interest of many researchers as it can be utilized to drive sustainable agriculture by suggesting long-lasting solutions to different problems in the agricultural space. However, there is a paucity of data on its health implications for the environment, plants, animals, and humans. This review evaluated the cost-effectiveness and productivity of nanoscience and technologies. The review highlighted the underlying health implications of nanoscience and technology from a One Health perspective.
Antimicrobial resistance (AMR) is still a formidable global public health challenge, as microorganisms, including bacteria, viruses, fungi, and parasites, evolve resistance to commonly used drugs, particularly antibiotics. The preservation of last-resort antimicrobials is critical for treating multi-drug-resistant infections; however, their indiscriminate use can exacerbate AMR crisis. This short communication delves into the multifaceted challenges, innovative strategies, and promising future directions to combat AMR effectively. Factors such as inappropriate prescription practices and the dearth of novel antibiotics contribute to the emergence of AMR. By implementing antimicrobial stewardship programs and fostering public education, we can mitigate the misuse of these vital drugs. Future research endeavors should concentrate on the development of cutting-edge drugs and diagnostic technologies to address AMR with enhanced precision and efficiency. Additionally, robust surveillance systems are crucial for monitoring antibiotic use and resistance patterns, providing valuable insights to inform policy decisions. A concerted, collaborative effort from governments, policymakers, healthcare providers, researchers, and other stakeholders is indispensable for overcoming the global health crisis posed by AMR.