Search
Research
A Systematic Framework for Prioritizing Burden of Disease Data Required for Vaccine Development and Implementation: The Case for Group A Streptococcal DiseasesVaccine development and implementation decisions need to be guided by accurate and robust burden of disease data. We developed an innovative systematic framework outlining the properties of such data that are needed to advance vaccine development and evaluation, and prioritize research and surveillance activities.
Research
Rare cause of scalp swelling in an infantChristopher Blyth MBBS (Hons) DCH FRACP FRCPA PhD Centre Head, Wesfarmers Centre of Vaccines and Infectious Diseases; Co-Head, Infectious Diseases
Research
Novel method to select meaningful outcomes for evaluation in clinical trialsA standardised framework for selecting outcomes for evaluation in trials has been proposed by the Core Outcome Measures in Effectiveness Trials working group. However, this method does not specify how to ensure that the outcomes that are selected are causally related to the disease and the health intervention being studied. Causal network diagrams may help researchers identify outcomes that are both clinically meaningful and likely to be causally dependent on the intervention, and endpoints that are, in turn, causally dependent on those outcomes.
Research
The Interseasonal Resurgence of Respiratory Syncytial Virus in Australian Children Following the Reduction of Coronavirus Disease 2019-Related PublicFollowing the end of winter, there has been a persistent absence of severe acute respiratory syndrome coronavirus 2 community transmission and no increase in influenza detections. Limited physical distancing measures have remained in place, with largely no restrictions on gathering sizes and no mandate for wearing masks.
Research
Antifungal prescribing in neonates: Using national point prevalence survey data from AustraliaWe describe contemporary antifungal use in neonates, with point-prevalence survey data from the National Antimicrobial Prescribing Survey across Australian hospitals from 2014 to 2018.
Research
Spatio-temporal patterns of childhood pneumonia in Bhutan: a Bayesian analysisPneumonia is one of the top 10 diseases by morbidity in Bhutan. This study aimed to investigate the spatial and temporal trends and risk factors of childhood pneumonia in Bhutan.
Research
Clinical predictors of severe dengue: a systematic review and meta-analysisSevere dengue is a life-threatening complication; rapid identification of these cases, followed by adequate management is crucial to improve the clinical prognosis. Therefore, this study aimed to identify risk factors and predictors of severe dengue.
Research
Longitudinal observational research study: establishing the Australasian Congenital Cytomegalovirus Register (ACMVR)Congenital cytomegalovirus (cCMV) is an important cause of long-term childhood disability. In Australia, the identification and treatment practices and the long-term clinical and neurodevelopmental outcomes of children with cCMV are unknown.
Research
Epidemiology and seasonality of human parainfluenza serotypes 1-3 in Australian childrenParainfluenza viruses are significant contributors to childhood respiratory illness worldwide, although detailed epidemiological studies are lacking. Few recent Australian studies have investigated serotype-specific PIV epidemiology, and there is a paucity of southern hemisphere PIV reports. We report age-stratified PIV hospitalisation rates and a mathematical model of PIV seasonality and dynamics in Western Australia (WA).
Research
The measurement properties of tests and tools used in cystic fibrosis studies: a systematic reviewThere is no consensus on how best to measure responses to interventions among children and adults with cystic fibrosis (CF). We have systematically reviewed and summarised the characteristics and measurement properties of tests and tools that have been used to capture outcomes in studies among people with CF, including their reliability, validity and responsiveness. This review is intended to guide researchers when selecting tests or tools for measuring treatment effects in CF trials. A consensus set of these tests and tools could improve consistency in how outcomes are captured and thereby facilitate comparisons and synthesis of evidence across studies.