Antimicrobial resistance (AMR) is a critical global health challenge, and Somalia is no exception. This update examines the current status of AMR in Somalia, highlighting the prevalent patterns of resistance, contributing factors, and significant health impacts. Despite limited surveillance data, evidence suggests rising resistance to key antibiotics, exacerbated by inadequate healthcare infrastructure, overuse of antimicrobials, and lack of regulatory oversight.
View Article and Find Full Text PDFIntroduction: Reference intervals (RIs) are crucial for the accurate interpretating of laboratory test results in clinical settings, serving as benchmarks for evaluating individual health status. This study investigates the influence of sex and age on common liver function tests (LFTs) and renal function tests (RFTs) in healthy adults in Mogadishu, Somalia.
Methods: A community-based cross-sectional study was carried out from October 2022 to January 2023 on a randomly selected sample of 255 healthy participants from Mogadishu, Somalia.
Background: Hepatitis B is a potentially fatal liver infection caused by the hepatitis B virus (HBV). It is a serious issue for global health. It considerably raises the risk of cirrhosis and liver cancer-related death and can result in chronic infection.
View Article and Find Full Text PDFToxoplasma gondii infection is a worldwide protozoan parasitic disease caused by the parasite Toxoplasma gondii. T. gondii infection in gestation period can lead to fetal or neonatal death, and besides congenital defects.
View Article and Find Full Text PDFIn this study, the interactive effect of plant hormone-salicylic acid and succinic acid on biomass growth, lutein content, and productivity of Desmodesmus sp. F51 were investigated. The results demonstrated that the synergistic action of salicylic acid and succinic acid could effectively enhance the assimilation of nitrate and significantly improve lutein production.
View Article and Find Full Text PDFThe development of digital bioprocessing technologies is critical to operate modern industrial bioprocesses. This study conducted the first investigation on the efficiency of using physics-based and data-driven models for the dynamic optimisation of long-term bioprocess. More specifically, this study exploits a predictive kinetic model and a cutting-edge data-driven model to compute open-loop optimisation strategies for the production of microalgal lutein during a fed-batch operation.
View Article and Find Full Text PDFLutein is a high-value bioproduct synthesized by microalga Desmodesmus sp. It has great potential for the food, cosmetics, and pharmaceutical industries. However, in order to enhance its productivity and to fulfil its ever-increasing global market demand, it is vital to construct accurate models capable of simulating the entire behavior of the complicated dynamics of the underlying biosystem.
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