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Research
The Utility of Natural Language Samples for Assessing Communication and Language in Infants Referred with Early Signs of AutismNatural Language Sampling (NLS) offers clear potential for communication and language assessment, where other data might be difficult to interpret. We leveraged existing primary data for 18-month-olds showing early signs of autism, to examine the reliability and concurrent construct validity of NLS-derived measures coded from video-of child language, parent linguistic input, and dyadic balance of communicative interaction-against standardised assessment scores. Using Systematic Analysis of Language Transcripts (SALT) software and coding conventions, masked coders achieved good-to-excellent inter-rater agreement across all measures.
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Australian children living with rare diseases: health service use and barriers to accessing careChildren with rare diseases experience challenges at home and school and frequently require multi-disciplinary healthcare. We aimed to determine health service utilization by Australian children with rare diseases and barriers to accessing healthcare.
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Implementing a combined individual placement and support and vocational peer work program in integrated youth mental health settingsTo describe the implementation and outcomes of a combined individual placement and support (IPS) and vocational peer work program for young people with mental ill-health.
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Projected health impact of post-discharge malaria chemoprevention among children with severe malarial anaemia in AfricaChildren recovering from severe malarial anaemia (SMA) remain at high risk of readmission and death after discharge from hospital. However, a recent trial found that post-discharge malaria chemoprevention (PDMC) with dihydroartemisinin-piperaquine reduces this risk. We developed a mathematical model describing the daily incidence of uncomplicated and severe malaria requiring readmission among 0-5-year old children after hospitalised SMA.
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Single-cell transcriptomic and spatial landscapes of the developing human pancreasCurrent differentiation protocols have not been successful in reproducibly generating fully functional human beta cells in vitro, partly due to incomplete understanding of human pancreas development. Here, we present detailed transcriptomic analysis of the various cell types of the developing human pancreas, including their spatial gene patterns. We integrated single-cell RNA sequencing with spatial transcriptomics at multiple developmental time points and revealed distinct temporal-spatial gene cascades.
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Rare disease education in Europe and beyond: time to actPeople living with rare diseases (PLWRD) still face huge unmet needs, in part due to the fact that care systems are not sufficiently aligned with their needs and healthcare workforce (HWF) along their care pathways lacks competencies to efficiently tackle rare disease-specific challenges. Level of rare disease knowledge and awareness among the current and future HWF is insufficient.
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Early onset of otitis media is a strong predictor of subsequent disease in urban Aboriginal infants: Djaalinj Waakinj cohort studyAustralian Aboriginal and/or Torres Strait Islander children in rural/remote areas suffer high rates of persistent otitis media (OM) from early infancy. We aimed to determine the proportion of Aboriginal infants living in an urban area who have OM and investigate associated risk factors.
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Real world impact of 13vPCV in preventing invasive pneumococcal pneumonia in Australian children: A national studyWe aimed to assess the direct protective effect of 13 valent pneumococcal conjugate vaccine (13vPCV) against invasive pneumococcal pneumonia (IPP; including pneumonia and empyema) in children using a nation-wide case-control study across 11 paediatric tertiary hospitals in Australia.
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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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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.