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Research

Modelling respiratory syncytial virus age-specific risk of hospitalisation in term and preterm infants

Respiratory syncytial virus (RSV) is the most common cause of acute lower respiratory infections in children worldwide. The highest incidence of severe disease is in the first 6 months of life, with infants born preterm at greatest risk for severe RSV infections. 

Research

Who suffered most? Parental stress and mental health during the COVID-19 pandemic in Germany

This study examines gender and socioeconomic inequalities in parental psychological wellbeing (parenting stress and psychological distress) during the COVID-19 pandemic in Germany. Background: The dramatic shift of childcare and schooling responsibility from formal institutions to private households during the pandemic has put families under enormous stress and raised concerns about caregivers’ health and wellbeing.

Research

Wastewater-based epidemiological surveillance of SARS-CoV-2 new variants BA.2.86 and offspring JN.1 in South and Southeast Asia

Anthony Kicic BSc (Hons) PhD Rothwell Family Fellow; Head, Airway Epithelial Research Anthony.Kicic@thekids.org.au Rothwell Family Fellow; Head,

Research

Multi-methods process evaluation of the SToP (See, Treat, Prevent) trial: a cluster randomised, stepped wedge trial to support healthy skin

Healthy skin is important for maintaining overall physical and cultural health and wellbeing. However, remote-living Australian Aboriginal children contend with disproportionally high rates of Streptococcus pyogenes (Strep A) infected impetigo. 

New pneumococcal vaccine closes in on approval

Pneumococcal – a bacterial infection that can cause pneumonia and meningitis – is responsible for 1000s of hospital admissions in Australia each year, many of them children.

Research

Spatial distribution of rotavirus immunization coverage in Ethiopia: a geospatial analysis using the Bayesian approach

Rotavirus causes substantial morbidity and mortality every year, particularly among under-five children. Despite Rotavirus immunization preventing severe diarrheal disease in children, the vaccination coverage remains inadequate in many African countries including Ethiopia.

Research

Reopening to the world: how safety, normality and trust in government shape young adults’ COVID-19 vaccine intentions

During the COVID-19 pandemic, and particularly 2020-2021, young adults were often significant transmitters of the virus. Prior to the availability of vaccines for young adults, we sought to understand what would contribute to their uptake of a COVID-19 vaccine and how government policy might intervene. We undertook qualitative interviews between February and April 2021 with 19 participants (aged 18-29) in Perth, Western Australia.

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

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.