Search
Research
The Staphylococcus aureus Network Adaptive Platform Trial Protocol: New Tools for an Old FoeStaphylococcus aureus bloodstream (SAB) infection is a common and severe infectious disease, with a 90-day mortality of 15%-30%. Despite this, <3000 people have been randomized into clinical trials of treatments for SAB infection.
Research
Characterization of a G1P[8] rotavirus causing an outbreak of gastroenteritis in the Northern Territory, Australia, in the vaccine eraIn 2010, a large outbreak of rotavirus gastroenteritis occurred in the Alice Springs region of the Northern Territory, Australia.
Research
The challenge of enteric feverEnteric fever prevention requires significant long term investment in provision of clean water and sanitation; vaccination offers medium term control.
Research
Whither pertussis?This article discusses the rising prevalence of pertussis disease in countries which have switched to acellular vaccines.
Research
Duration of protection after first dose of acellular pertussis vaccine in infantsWithout a booster dose, the effectiveness of 3 doses waned more rapidly from 2 to 4 years of age than previously documented for children >6 years of age who...
Research
Predictors of pneumococcal carriage and the effect of the 13-valent pneumococcal conjugate vaccination the Western Australian Aboriginal populationThe PCV7 was introduced to prevent IPD in WA Aboriginal people in 2001 to a lesser extent in older people.
Research
Dose-Banding of Intravenous Piperacillin-Tazobactam in Pediatric Surgical InpatientsDosing errors are the most commonly reported medication error in children. Dosing is often prescribed per weight or based on body area.

Research
Towards the establishment of the PREVAIL Centre, a Centre for PREcision in VAccine ImpLmentation at The Kids Research Institute AustraliaPat Tom Holt Snelling PhD, DSc, FRCPath, FRCPI, FAA BMBS DTMH GDipClinEpid PhD FRACP Emeritus Honorary Researcher Head, Infectious Disease
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.