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Research

Evaluating hypoxia during air travel in healthy infants

Up to a third of ex-preterm infants flying near term exhibit pulse oxygen saturation (SpO2) of less than 85% during air travel.

Research

Survey of clinical infant lung function testing practices

To evaluate current ILF testing practices and to survey users regarding the indications, limitations and perceived clinical benefits of ILF testing.

Research

Geographic consistency in dominant, non-typeable Haemophilus influenzae genotypes colonising four distinct Australian paediatric groups: a cohort study

Identified dominant PCR-ribotypes common to geographically disparate Australian paediatric populations

Research

Association between diesel engine exhaust exposure and lung function in Australian gold miners

Diesel engine exhaust exposures were higher in underground miners and had a negative association with their lung function over a single 12-h shift

Research

Bronchodilator responsiveness in children with asthma is not influenced by spacer device selection

Spacer device was not associated with clinically important differences in lung function following bronchodilator inhalation in children with asthma

Not just a cough: Wet cough research prompts significant change in clinical and community practice

Results from a world first-study measuring prevalence of chronic wet cough and protracted bacterial bronchitis in four Kimberley Aboriginal communities have highlighted the enormity of the health problem.

Research

Infection, inflammation,and lung function decline in infants with cystic fibrosis

Better understanding of evolution of lung function in infants with cystic fibrosis...

Research

Many Healthy Lungs

In partnership with Derbarl Yerrigan Health Service and the Broome Regional Aboriginal Medical Service, we aim to improve Aboriginal lung health by determining for the first time the baseline lung function of Aboriginal Australians.

Casual Senior Research Officer – Respiratory Health

casual research assistant kimberley

Research

Personalised, machine learning based prediction of asthma in children

This study aims to show that asthma and allergies in individuals can be predicted before it occurs based on individual family history and information on the early environment.