Search
Research
Modelling the seasonal epidemics of respiratory syncytial virus in young childrenThis paper describes a mathematical model used to predict when an epidemic of respiratory syncytial virus (RSV) will occur so that preventive measures, such...
Research
Infection is the major component of the disease burden in Aboriginal and non-Aboriginal Australian children: a population-based studyInfection accounts for the majority of pediatric mortality and morbidity in developing countries, but there are limited data on the infectious diseases...
Research
Invasive fungal disease in children with solid tumors: An Australian multicenter 10-year reviewInvasive fungal disease (IFD) occurs less frequently during treatment for solid compared to hematological malignancies in children, and risk groups are poorly defined. Retrospective national multicenter cohort data (2004-2013) were analyzed to document prevalence, clinical characteristics, and microbiology of IFD.
Research
Epidemiology and assessment of Hepatitis B positive children in Western AustraliaTo describe the characteristics of patients with chronic hepatitis B (CHB) presenting to a tertiary paediatric hospital in Perth, Western Australia. Review of implementation of previous follow-up recommendations for the cohort was also undertaken.
Research
The seroprevalence of SARS-CoV-2-specific antibodies in Australian children: A crosssectional studyFollowing reduction of public health and social measures concurrent with SARS-CoV-2 Omicron emergence in late 2021 in Australia, COVID-19 case notification rates rose rapidly. As rates of direct viral testing and reporting dropped, true infection rates were most likely to be underestimated.
Research
Changing rules, recommendations, and risks: COVID-19 vaccination decisions and emotions during pregnancyAs COVID-19 vaccinations rolled out globally from late 2020, rules and recommendations regarding vaccine use in pregnancy shifted rapidly. Pre-registration COVID-19 vaccine trials excluded those who were pregnant. Initial Australian medical advice did not routinely recommend COVID-19 vaccines in pregnancy, due to limited safety data and little perceived risk of local transmission.
Research
Impact of Parent-Reported Antibiotic Allergies on Pediatric Antimicrobial Stewardship ProgramsAntimicrobial stewardship (AMS) is crucial for optimizing antimicrobial use and restraining emergence of antimicrobial resistance. The overall increase in reported antibiotic allergies in children can pose a significant barrier to AMS, but its impact on clinical AMS care in children has not been addressed.
Research
Randomised controlled trials of behavioural nudges delivered through text messages to increase influenza and COVID-19 vaccines among pregnant women (the EPIC study): study protocolInfluenza and COVID-19 infections during pregnancy may have serious adverse consequences for women as well as their infants. However, uptake of influenza and COVID-19 vaccines during pregnancy remains suboptimal. This study aims to assess the effectiveness of a multi-component nudge intervention to improve influenza and COVID-19 vaccine uptake among pregnant women.
Research
Defining the pediatric response to SARS-CoV-2 variantsThe global population has been severely affected by the coronavirus disease 2019 (COVID-19) pandemic, however, with older age identified as a risk factor, children have been underprioritized. This article discusses the factors contributing to the less severe response observed in children following infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), including, differing viral entry receptor expression and immune responses.
Research
among children with pneumonia using a causal Bayesian networkPneumonia remains a leading cause of hospitalization and death among young children worldwide, and the diagnostic challenge of differentiating bacterial from non-bacterial pneumonia is the main driver of antibiotic use for treating pneumonia in children. Causal Bayesian networks (BNs) serve as powerful tools for this problem as they provide clear maps of probabilistic relationships between variables and produce results in an explainable way by incorporating both domain expert knowledge and numerical data.