Female Genital Mutilation (FGM) has become a global health concern. It is a deeply entrenched harmful practice involving partial or total removal of the external female genitalia for non-medical reasons. To inform effective policymaking and raise awareness about FGM's health risks, understanding socioeconomic and demographic factors influencing the timing of girls' circumcision is crucial.
View Article and Find Full Text PDFThis study examines the specimen size-dependent deformation behavior of commercially pure titanium grade 4 (cp-Ti grade 4) sheets under tension, with strain paths between uniaxial tension (UT) and plane-strain tension and compares the results with cyclic bending under tension (CBT) data. Specimens of varying widths (11.7, 20, 60, 100, and 140 mm) were tested in both rolling (RD) and transverse (TD) directions.
View Article and Find Full Text PDFPLOS Glob Public Health
November 2024
Despite consistent evidence highlighting the benefits of exclusive breastfeeding (EBF) for the first six months, EBF duration sometimes falls short of six months or exceeds it. This research seeks to explore factors influencing the practice of optimal duration of EBF and identify factors associated with suboptimal EBF durations. A cross-sectional survey was conducted in 16 districts across four Northern regions of Ghana with 2000 caregivers of children under five years old.
View Article and Find Full Text PDFFront Public Health
November 2024
Background: Stigma surrounding mental illness has been identified as a major bane of psychiatric care in many low- and middle-income countries. Mental illness stigma affects both the sufferer and their care providers, including families and psychiatric care providers. In Ghana, attention toward psychiatric care is limited.
View Article and Find Full Text PDFBackground: There has been a substantial increase in the development of artificial intelligence (AI) tools for clinical decision support. Historically, these were mostly knowledge-based systems, but recent advances include non-knowledge-based systems using some form of machine learning. The ability of health care professionals to trust technology and understand how it benefits patients or improves care delivery is known to be important for their adoption of that technology.
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