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Assessment of on-time vaccination coverage in population subgroups: A record linkage cohort studyOn-time coverage of the 2-4-6 month schedule is only 50-60% across specific population subgroups representing a significant avoidable public health risk
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Immunisation and pregnancy - who, what, when and why?Recommending vaccination to pregnant women is important as evidence shows they are more likely to get vaccinated if their healthcare provider advises it
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Effectiveness of seasonal trivalent influenza vaccination against hospital-attended acute respiratory infections in pregnant womenInfluenza vaccination during pregnancy was associated with significantly fewer hospital attendances for ARI in pregnant women
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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...
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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...
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Optimising influenza vaccine uptake in children with medical comorbiditiesChristopher 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 studyChristopher 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 ChildrenChristopher 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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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.
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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.