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Research

Optimising influenza vaccine uptake in children with medical comorbidities

Christopher Hannah Blyth Moore MBBS (Hons) DCH FRACP FRCPA PhD OAM BSc (Hons) GradDipClinEpi PhD Centre Head, Wesfarmers Centre of Vaccines and

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The PneuCaPTIVE study

Christopher Deborah Blyth Lehmann MBBS (Hons) DCH FRACP FRCPA PhD AO, MBBS, MSc Centre Head, Wesfarmers Centre of Vaccines and Infectious Diseases;

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PATRIC: Pragmatic Adaptive Trial for Respiratory Infections in Children

Christopher Peter Tom Blyth Richmond Snelling MBBS (Hons) DCH FRACP FRCPA PhD MBBS MRCP(UK) FRACP BMBS DTMH GDipClinEpid PhD FRACP Centre Head,

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Estimating the Impact And Costs of Antimicrobial Resistance (AMR) at Perth Children’s Hospital

AMR is a rapidly growing challenge and has been identified as one of the World Health Organizations top 10 global health threats, with the potential to undo many of the health gains observed over the last century.

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Evaluating the use and effectiveness of passive immunization in reducing RSV-associated morbidity in high risk infants

Hannah Tom Moore Snelling OAM BSc (Hons) GradDipClinEpi PhD BMBS DTMH GDipClinEpid PhD FRACP Head, Infectious Diseases Research Head, Infectious

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Defining the pediatric response to SARS-CoV-2 variants

The 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.

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among children with pneumonia using a causal Bayesian network

Pneumonia 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.

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Core protocol for the adaptive Platform Trial In COVID-19 Vaccine priming and BOOsting (PICOBOO)

The need for coronavirus 2019 (COVID-19) vaccination in different age groups and populations is a subject of great uncertainty and an ongoing global debate. Critical knowledge gaps regarding COVID-19 vaccination include the duration of protection offered by different priming and booster vaccination regimens in different populations, including homologous or heterologous schedules.

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Effectiveness of 7-Valent Pneumococcal Conjugate Vaccine Against Invasive Pneumococcal Disease in Medically At-Risk Children in Australia: A Record Linkage Study

Children with chronic medical conditions are at higher risk of invasive pneumococcal disease (IPD), but little is known about the effectiveness of the primary course of pneumococcal conjugate vaccine (PCV) in these children.

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The effects of birth spacing on early childhood development in high-income nations: A systematic review

This study aimed to systematically review the literature on the associations between birth spacing and developmental outcomes in early childhood (3–10 years of age). Studies examining the associations between interpregnancy intervals and child development outcomes during and beyond the perinatal period have not been systematically reviewed.