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Research

This study aimed to quantify the spatial and temporal patterns of dengue and their relationship to environmental factors in dengue-affected areas

Research

We investigated whether compulsory community treatment, could reduce all-cause mortality among patients with psychiatric disorders.

Improving the educational experiences of Aboriginal children and young people

Research

This study finds that the Early Development Instrument shows moderate validity and reliability in poor communities in Indonesia

Research

Playgroups are widely used throughout the Australian community yet understanding of their efficacy is hindered by inconsistent playgroup definitions and practice principles. This study aimed to develop, implement and evaluate the feasibility of a manualised therapeutic playgroup for children with developmental delay and their families using a three step process.

Research

This research explored adults' perceptions of how sexualized images typically found on social media might influence adolescent girls' mental health, what support girls might need should they experience mental health difficulties, and how such difficulties could be prevented or reduced.

Research

CDKL5 Deficiency Disorder (CDD) is a rare, X-linked dominant condition that causes a developmental and epileptic encephalopathy (DEE). The incidence is between ~ 1:40,000 and 1:60,000 live births. Pathogenic variants in CDKL5 lead to seizures from infancy and severe neurodevelopmental delay.

Research

Severe dengue is a life-threatening complication; rapid identification of these cases, followed by adequate management is crucial to improve the clinical prognosis. Therefore, this study aimed to identify risk factors and predictors of severe dengue.

Research

The marked heterogeneity in cystic fibrosis (CF) disease complicates the selection of those most likely to benefit from existing or emergent treatments. We aimed to predict the progression of bronchiectasis in preschool children with CF.

Research

Preterm birth is a global public health problem with a significant burden on the individuals affected. The study aimed to extend current research on preterm birth prognostic model development by developing and internally validating models using machine learning classification algorithms and population-based routinely collected data in Western Australia.