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How does the school built environment impact students’ bullying behaviour? A scoping reviewSchool bullying is a public health concern affecting the physical and mental health of children and young people. While school-based interventions to prevent bullying have been developed internationally, the effectiveness of many interventions has been mixed and modest.
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Factors influencing participation in home, school, and community settings by children and adolescents with neuromuscular disorders: A qualitative descriptive studyThis study explored how children and adolescents with a neuromuscular disorder (NMD) and their parents experienced barriers and enablers to the child's participation.
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An Evaluation of the Overall Utility of Measures of Functioning Suitable for School-Aged Children on the Autism Spectrum: A Scoping ReviewA diagnosis of an autism spectrum condition (autism) provides limited information regarding an individual’s level of functioning, information key in determining support and funding needs.
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Enhancing functional recovery for young people recovering from first episode psychosis via sport-based life skills training: outcomes of a feasibility and pilot studyEarly intervention within First Episode Psychosis (FEP) recovery efforts support functional recovery in several ways, including increasing levels of (1) physical activity (2) life skills, and (3) social connectivity. Sport has been proposed as an ideal platform to target these three goals simultaneously.
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What Heterogeneities in Individual-level Mobility Are Lost During Aggregation? Leveraging GPS Logger Data to Understand Fine-scale and Aggregated Patterns of MobilityHuman movement drives spatial transmission patterns of infectious diseases. Population-level mobility patterns are often quantified using aggregated data sets, such as census migration surveys or mobile phone data. These data are often unable to quantify individual-level travel patterns and lack the information needed to discern how mobility varies by demographic groups. Individual-level datasets can capture additional, more precise, aspects of mobility that may impact disease risk or transmission patterns and determine how mobility differs across cohorts; however, these data are rare, particularly in locations such as sub-Saharan Africa.
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Anaesthesia related mortality data at a Tertiary Pediatric Hospital in Western AustraliaAnaesthesia related mortality in paediatrics is rare. There are limited data describing paediatric anaesthesia related mortality. This study determined the anaesthesia related mortality at a Tertiary Paediatric Hospital in Western Australia.
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Monogenic early-onset lymphoproliferation and autoimmunity: Natural history of STAT3 gain-of-function syndromeIn 2014, germline signal transducer and activator of transcription (STAT) 3 gain-of-function (GOF) mutations were first described to cause a novel multisystem disease of early-onset lymphoproliferation and autoimmunity.
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FastMix: a versatile data integration pipeline for cell type-specific biomarker inferenceFlow cytometry (FCM) and transcription profiling are the two widely used assays in translational immunology research. However, there is no data integration pipeline for analyzing these two types of assays together with experiment variables for biomarker inference.
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Perceptions of two different alcohol use behaviours in pregnancy: an application of the prototype/willingness modelThis study explored whether exposure to either an ‘ambiguous consumption’ prototype (no amount of alcohol specified) or a ‘small consumption’ prototype (‘small’ amount of alcohol specified) had an impact on prototype perceptions of, and willingness to use, small amounts of alcohol during pregnancy.
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among children with pneumonia using a causal Bayesian networkPneumonia remains a leading cause of hospitalization and death among young children worldwide, and the diagnostic challenge of differentiating bacterial from non-bacterial pneumonia is the main driver of antibiotic use for treating pneumonia in children. Causal Bayesian networks (BNs) serve as powerful tools for this problem as they provide clear maps of probabilistic relationships between variables and produce results in an explainable way by incorporating both domain expert knowledge and numerical data.