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A pilot evaluation of school-based LEGO robotics therapy for autistic studentsThere is emerging evidence that LEGO® therapy is an effective way of supporting younger autistic children develop their communication and social skills. LEGO® robotics therapy - which uses the principles of LEGO® therapy applied to LEGO® robotics - may be an age-appropriate intervention to reduce anxiety and increase social skills in autistic adolescents.
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A matter of timing: Biting by malaria-infected Anopheles mosquitoes and the use of interventions during the night in rural southeastern TanzaniaKnowing when and where infected mosquitoes bite is required for estimating accurate measures of malaria risk, assessing outdoor exposure, and designing intervention strategies. This study combines secondary analyses of a human behaviour survey and an entomological survey carried out in the same area to estimate human exposure to malaria-infected Anopheles mosquitoes throughout the night in rural villages in south-eastern Tanzania.
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Machine learning techniques to predict diabetic ketoacidosis and HbA1c above 7% among individuals with type 1 diabetes — A large multi-centre study in Australia and New ZealandType 1 diabetes and diabetic ketoacidosis (DKA) have a significant impact on individuals and society across a wide spectrum. Our objective was to utilize machine learning techniques to predict DKA and HbA1c>7 %.
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Developmental Mismatch Across Brain Modalities in Young ChildrenBrain development during the preschool period is complex and extensive and underlies ongoing behavioral and cognitive maturation. Increasing understanding of typical brain maturation during this time is critical to early identification of atypical development and could inform treatments and interventions.
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Invasive Fungal Disease in Immunocompromised Children: Current and Emerging TherapiesIn an era of expanding indications for iatrogenic immunosuppression, invasive fungal disease (IFD) remains a significant challenge in immunocompromised children, with case fatality rates ranging from 10 to 70%. Understanding of current recommendations and recent evidence is essential to guide optimal IFD management.
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Respiratory Viral Testing Rate Patterns in Young Children Attending Tertiary Care Across Western Australia: A Population-Based Birth Cohort StudyBelaynew Christopher Peter Hannah Minda Huong Taye Blyth Richmond Moore Sarna Le MD, MPH, PhD MBBS (Hons) DCH FRACP FRCPA PhD MBBS MRCP(UK) FRACP OAM
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Real time monitoring of respiratory viral infections in cohort studies using a smartphone appCohort studies investigating respiratory disease pathogenesis aim to pair mechanistic investigations with longitudinal virus detection but are limited by the burden of methods tracking illness over time. In this study, we explored the utility of a purpose-built AERIAL TempTracker smartphone app to assess real-time data collection and adherence monitoring and overall burden to participants, while identifying symptomatic respiratory illnesses in two birth cohort studies.
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Characterization of Gram-negative Bloodstream Infections in Hospitalized Australian Children and Their Clinical OutcomesGram-negative bloodstream infections (GNBSIs) more commonly occur in children with comorbidities and are increasingly associated with antimicrobial resistance. There are few large studies of GNBSIs in children that relate the clinical presentation, pathogen characteristics, and outcomes.
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Italian Version of QI-Disability for QoL Evaluation in Children and Adolescents with Intellectual Disability: Translation and Cross-Cultural Adaptation ProcessChildren and adolescents with Intellectual Disability experience a worse Quality-of-Life (QoL) relative to typically developing peers. Thus, QoL evaluation is important for identifying support needs and improving rehabilitation effectiveness. Nevertheless, currently in Italy there are not tools with this scope. This study aims to translate and cross-culturally adapt the Quality-of-Life Inventory-Disability into Italian.
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AnophelesModel: An R package to interface mosquito bionomics, human exposure and intervention effects with models of malaria intervention impactIn recent decades, field and semi-field studies of malaria transmission have gathered geographic-specific information about mosquito ecology, behaviour and their sensitivity to interventions. Mathematical models of malaria transmission can incorporate such data to infer the likely impact of vector control interventions and hence guide malaria control strategies in various geographies.