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Research

Decline in gross motor skills in adult Rett syndrome; results from a Danish longitudinal study

Longevity of individuals with neurodevelopmental diseases as Rett syndrome (RTT) has increased and many reach adulthood and old age. There is therefore a need to increase knowledge about the course of RTT in adults in order to improve medical care management and quality of life.

Research

Interpregnancy intervals and adverse birth outcomes in high-income countries: An international cohort study

Most evidence for interpregnancy interval (IPI) and adverse birth outcomes come from studies that are prone to incomplete control for confounders that vary between women. Comparing pregnancies to the same women can address this issue.

Research

Prevalence of electronic device use before bed among Australian children and adolescents: a cross-sectional population level study

To understand the prevalence of children and adolescents’ electronic device use (EDU) in the hour before bed and identify sociodemographic groups that are at increased risk of problematic use.

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

Sex-Specific Environmental Impacts on Initiation and Progression of Multiple Sclerosis

The immunological mechanisms that contribute to multiple sclerosis (MS) differ between males and females. Females are 2-3 times more likely to develop MS compared to males, however the reason for this discrepancy is unknown. Once MS is established, there is a more inflammatory yet milder form of disease in females whereas males generally suffer from more severe disease and faster progression, neural degradation, and disability.

Research

Consensus guidelines for antifungal stewardship, surveillance and infection prevention, 2021

Invasive fungal diseases (IFD) are serious infections associated with high mortality, particularly in immunocompromised patients. The prescribing of antifungal agents to prevent and treat IFD is associated with substantial economic burden on the health system, high rates of adverse drug reactions, significant drug-drug interactions and the emergence of antifungal resistance.

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

Viral Induced Effects on a Vulnerable Epithelium; Lessons Learned From Paediatric Asthma and Eosinophilic Oesophagitis

The epithelium is integral to the protection of many different biological systems and for the maintenance of biochemical homeostasis. Emerging evidence suggests that particular children have epithelial vulnerabilities leading to dysregulated barrier function and integrity, that resultantly contributes to disease pathogenesis.

Research

The FASTK family proteins fine-tune mitochondrial RNA processing

Transcription of the human mitochondrial genome and correct processing of the two long polycistronic transcripts are crucial for oxidative phosphorylation. According to the tRNA punctuation model, nucleolytic processing of these large precursor transcripts occurs mainly through the excision of the tRNAs that flank most rRNAs and mRNAs.

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.