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What is the quality of evidence informing vaccine clinical practice recommendations in Australia?

Vaccine policy and guideline recommendations require high quality evidence. A review of the evidence quality used to inform vaccine clinical practice guidelines could help guide researchers on how to improve the design of their clinical studies to produce evidence of greater value to decision-makers.

Applying causal inference and Bayesian statistics to understanding vaccine safety signals using a simulation study

Community perception of vaccine safety influences vaccine uptake. Our objective was to assess current vaccine safety monitoring by examining factors that may influence the availability of post-vaccination survey data, and thereby the specificity and sensitivity of existing signal detection methods.

PIFA - Pertussis and Food allergy, a case-cohort study of the association between pertussis vaccination in infancy and the risk of IgE-mediated food allergy

Pat Peter Tom Holt Richmond Snelling PhD, DSc, FRCPath, FRCPI, FAA MBBS MRCP(UK) FRACP BMBS DTMH GDipClinEpid PhD FRACP Emeritus Honorary Researcher

The Effect of SMS Reminders on Vaccine Hesitancy in New Parents

Tom Snelling BMBS DTMH GDipClinEpid PhD FRACP Head, Infectious Disease Implementation Research 08 6319 1817 tom.snelling@thekids.org.au Head,

Towards the establishment of the PREVAIL Centre, a Centre for PREcision in VAccine ImpLmentation at The Kids Research Institute Australia

Pat Tom Holt Snelling PhD, DSc, FRCPath, FRCPI, FAA BMBS DTMH GDipClinEpid PhD FRACP Emeritus Honorary Researcher Head, Infectious Disease

Effectiveness of Palivizumab in Preventing RSV Hospitalization in High Risk Children: A Real-World Perspective

This review supports the recommended use of palivizumab for reducing RSV-associated hospitalisation rates in premature babies born at gestational age <33 weeks.

Advancing the management and control of typhoid fever: a review of the historical role of human challenge studies

Improved understanding of Salmonella Typhi infection can help accelerate the development of improved vaccines and diagnostic tests necessary for disease control

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.

BEAT CF pulmonary exacerbations core protocol for evaluating the management of pulmonary exacerbations in people with cystic fibrosis

Cystic fibrosis (CF) is a rare, inherited, life-limiting condition predominantly affecting the lungs, for which there is no cure. The disease is characterized by recurrent pulmonary exacerbations (PEx), which are thought to drive progressive lung damage. Management of these episodes is complex and generally involves multiple interventions targeting different aspects of disease. The emergence of innovative trials and use of Bayesian statistical methods has created renewed opportunities for studying heterogeneous populations in rare diseases.

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.