Background: Antimicrobial resistance (AMR) is a major threat to global public health, affecting human and animal health, agriculture, food safety, and the environment. The control of AMR is often challenging, particularly when data are scanty or siloed in individual sectors. To develop evidence-based control policies for AMR, an electronic information system that integrates AMR data from various sectors, in a One Health approach, is critical.
View Article and Find Full Text PDFBackground And Objectives: Neonatal mortality due to severe bacterial infections is a pressing global issue, especially in low-middle-income countries (LMICs) with constrained healthcare resources. This study aims to validate the Neonatal Healthcare-associated infectiOn Prediction (NeoHoP) score, designed for LMICs, across diverse neonatal populations.
Methods: Prospective data from three South African neonatal units in the Neonatal Sepsis Observational (NeoOBS) study were analysed.
Background: Neisseria gonorrhoeae (NG) has acquired significant resistance, primarily due to extensive and unwarranted antibiotic utilization over several decades. This resistance has largely been associated with the syndromic management of sexually transmitted infections, particularly in low- and middle-income countries where affordable point of care tests are unavailable. To address this diagnostic gap, FIND has developed a low-cost lateral flow assay for the detection of NG at the point of care.
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