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The impact of immigration detention on children's mental health: systematic review

There are 117.3 million people forcibly displaced because of war, conflict and natural disasters: 40% are children. With growing numbers, many high-income countries have adopted or are considering increasingly restrictive policies of immigration detention. Research on the impact of detention on mental health has focused on adults, although recent studies report on children. 

Validity of using a semi-automated screening tool in a systematic review assessing non-specific effects of respiratory vaccines

The abstract screening process of systematic reviews can take thousands of hours by two researchers. We aim to determine the reliability and validity of Research Screener, a semi-automated abstract screening tool within a systematic review on non-specific and broader effects of respiratory vaccines on acute lower respiratory infection hospitalisations and antimicrobial prescribing patterns in young children.

Country-level and global burden of diseases caused by group A Streptococcus: protocol for a multicountry epidemiological study

Group A Streptococcus (Strep A) causes a wide spectrum of diseases, ranging from pharyngitis and impetigo to severe invasive infections and immune-mediated conditions such as acute rheumatic fever, rheumatic heart disease and acute post-streptococcal glomerulonephritis. Contemporary data on the global burden of Strep A diseases are lacking.

“We've wanted to vaccinate against it and now we can”: views of respiratory syncytial virus disease and immunisation held by caregivers of Aboriginal children in Perth, Western Australia

Respiratory syncytial virus (RSV) is a major cause of respiratory infection with a higher burden in Aboriginal and Torres Strait Islander infants and children. We conducted a pilot qualitative study identifying disease knowledge and willingness to immunise following the changing immunisation landscape for infant RSV in 2024.

Who is at risk of a respiratory syncytial virus hospitalisation? A linked, population-based birth cohort analysis in children aged less than 5 years

Respiratory syncytial virus (RSV) is a major cause of acute lower respiratory infections globally in children under five years. With the development of RSV prevention strategies, understanding risk factors and relation to age and population is useful for deciding the type of program implemented.

Predicting regional and temporal incidence of RSV and influenza hospitalizations in a birth cohort of young Australian children

Western Australia experiences multiple climatic zones, influencing the epidemiology of respiratory viruses. We aimed to estimate the true incidence of respiratory syncytial virus and influenza hospitalizations across these different climatic regions using predictive modelling.

Randomised controlled trials of behavioural nudges delivered through text messages to increase influenza and COVID-19 vaccine uptake among pregnant women (EPIC study) in Australia

Influenza and COVID-19 vaccine uptake among pregnant women is sub-optimal. We assessed the effectiveness of a multi-component behavioural nudge intervention to improve COVID-19 and influenza vaccine uptake among pregnant women. 

Antimicrobial resistance in Staphylococcus aureus and Enterococci spp. isolates from bloodstream infections in Australian children, 2013 - 2021

Rising proportions of antimicrobial resistance (AMR) have been observed in both Staphylococcus aureus and Enterococcus spp. isolates.

Effectiveness of nirsevimab in preventing RSV-hospitalisation among young children in Western Australia 2024

Respiratory Syncytial Virus (RSV) causes a significant burden of illness for children under 2 years of age. Nirsevimab, a long-acting monoclonal antibody, was registered for RSV prevention in Australia in 2023. In April 2024, Western Australia (WA) launched the country's first state-wide nirsevimab program for all infants and high-risk children entering their second RSV season. 

Development of a pharmaceutical science systematic review process using a semi-automated machine learning tool: Intravenous drug compatibility in the neonatal intensive care setting

Our objective was to establish and test a machine learning-based screening process that would be applicable to systematic reviews in pharmaceutical sciences. We used the SPIDER (Sample, Phenomenon of Interest, Design, Evaluation, Research type) model, a broad search strategy, and a machine learning tool (Research Screener) to identify relevant references related to y-site compatibility of 95 intravenous drugs used in neonatal intensive care settings.