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Research

Predicting immune protection against outcomes of infectious disease from population-level effectiveness data with application to COVID-19

Quantifying the extent to which previous infections and vaccinations confer protection against future infection or disease outcomes is critical to managing the transmission and consequences of infectious diseases. We present a general statistical model for predicting the strength of protection conferred by different immunising exposures (numbers, types, and strains of both vaccines and infections), against multiple outcomes of interest, whilst accounting for immune waning. 

Research

Patient and carer priorities for research and clinical care of children with Down syndrome

Down syndrome, the most common genetic disorder, is caused by the presence of all or part of a third copy of chromosome 21. We identified the top 10 patient and carer research priorities for children with Down syndrome.

Research

A New Model to Investigate the Action of Radiation and Cigarette Smoke on Head and Neck Cancer Cells

Smokers are at an increased risk of developing mucosal head and neck squamous cell cancers (HNSCCs) and have a worse prognosis when treated. The cellular and molecular mechanisms underlying the latter has not been established. We therefore developed an in vitro model to investigate the effects of radiation and smoking on mucosal HNSCCs. 

Research

A Systematic Review of Psychometric Properties of General Trust Measures Across the Lifespan

Belief in the trustworthiness of other people is foundational to human interaction, and thus, there is interest in its assessment across many disciplines. However, disunity in approaches to its conceptualization has resulted in a myriad of measures. This review collates and systematically appraises self-report general trust measures for use in either children or adults; examining target age, type of trust assessed, and measurement and psychometric properties. 

Research

Can lung disease be averted by focusing on early-life inequities?

Shannon Simpson BMedSci (hons), PhD Head, Strong Beginnings Research 08 6319 1631 Shannon.simpson@thekids.org.au Head, Strong Beginnings Research

Research

Interactions between bacteria in the human nasopharynx: a scoping review

Emerging evidence indicates that interactions between bacteria shape the nasopharyngeal microbiome and influence respiratory health. This Review uses the systematic scoping methodology to summarise 88 studies including observational and experimental studies, identifying key interactions between bacteria that colonise the human nasopharynx. 

Research

Spatiotemporal patterns of influenza in Western Australia

Understanding the geospatial distribution of influenza infection and the risk factors associated with infection clustering can inform targeted preventive interventions. We conducted a geospatial analysis to investigate the spatial patterns and identify drivers of medically attended influenza infection across all age groups in Western Australia.

Research

Hospitalizations Following Complex Hip Surgery in Children with Intellectual Disability: A Self-Controlled Case Series Analysis

To evaluate the associations between complex hip surgery and subsequent hospitalizations in children with intellectual disability, including a subset of children with cerebral palsy.

Research

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.

Research

Coupling of response biomarkers between tumor and peripheral blood in patients undergoing chemoimmunotherapy

Platinum-based chemotherapy in combination with anti-PD-L1 antibodies has shown promising results in mesothelioma. However, the immunological mechanisms underlying its efficacy are not well understood and there are no predictive biomarkers to guide treatment decisions.