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Research

Distinct Streptococcus pneumoniae cause invasive disease in Papua New Guinea

Streptococcus pneumoniae is a key contributor to childhood morbidity and mortality in Papua New Guinea (PNG). For the first time, whole genome sequencing of 174 isolates has enabled detailed characterisation of diverse S. pneumoniae causing invasive disease in young children in PNG, 1989-2014.

Research

Understanding parent perspectives on engagement with online youth-focused mental health programs

Online youth-focused health programs often include parent modules—that equip parents with skills to assist their child in improving their health—alongside youth-specific content. BRAVE Self-Help, an evidence-based program designed for children and teenagers with early signs of anxiety, is a popular Australian program that includes six parent modules.

Research

Systemic long-term metabolic effects of acute non-severe paediatric burn injury

A growing body of evidence supports the concept of a systemic response to non-severe thermal trauma. This provokes an immunosuppressed state that predisposes paediatric patients to poor recovery and increased risk of secondary morbidity.

Research

A novel skin cancer prevention strategy: Preservice teachers' perceptions of a sun safety intervention and experiences in schools

Teachers play a vital role in developing children's sun protection routines however upskilling preservice teachers (PSTs) while at university has not yet been trialled as a targeted skin cancer prevention strategy. Hence, this study investigated PSTs perceptions and experiences of sun safety following a brief pilot intervention and placement in primary schools in Western Australia.

Research

School bullying: moving beyond a single school response to a whole education approach

Bullying is an issue that continues to represent a significant challenge to the provision of pastoral care in schools. In more recent decades, it has evolved in its complexity to include forms of bullying often referred to as cyberbullying or online bullying.

Research

Caregiver Psychological Distress Predicts Temperament and Social-Emotional Outcomes in Infants with Autism Traits

Child temperament and caregiver psychological distress have been independently associated with social-emotional difficulties among individuals with autism. However, the interrelationship among these risk factors has rarely been investigated.

Research

“Coronavirus Changed the Rules on Everything”: Parent Perspectives on How the COVID‐19 Pandemic Influenced Family Routines, Relationships and Technology Use in Families with Infants

This study explores how the first wave of the COVID‐19 pandemic influenced family routines, relationships and technology use (smartphones and tablet computers) among families with infants. Infancy is known to be an important period for attachment security and future child development, and a time of being susceptible to changes within and outside of the family unit.

Research

Modelling temperature-driven changes in species associations across freshwater communities

Due to global climate change–induced shifts in species distributions, estimating changes in community composition through the use of Species Distribution Models has become a key management tool. Being able to determine how species associations change along environmental gradients is likely to be pivotal in exploring the magnitude of future changes in species’ distributions.

Research

Does a major change to a COVID-19 vaccine program alter vaccine intention? A qualitative investigation

On 8th April 2021, the Australian Technical Advisory Group on Immunisation (ATAGI) made the Pfizer-BioNtech (Comirnaty) vaccine the “preferred” vaccine for adults in Australia aged < 50 years due to a risk of thrombosis with thrombocytopenia syndrome (TTS) following AstraZeneca vaccination. We sought to understand whether this impacted COVID-19 vaccine intentions.

Research

Emulator-based Bayesian optimization for efficient multi-objective calibration of an individual-based model of malaria

Individual-based models have become important tools in the global battle against infectious diseases, yet model complexity can make calibration to biological and epidemiological data challenging. We propose using a Bayesian optimization framework employing Gaussian process or machine learning emulator functions to calibrate a complex malaria transmission simulator.