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Infectious Disease Ecology and Modelling

The Infectious Disease Ecology and Modelling team led by Professor Nick Golding, combines mathematical and statistical modelling, ecology, and public health to address malaria and other infectious and vector-borne diseases. The team uses modelling and maps to measure the risk posed by some of the world’s most important and neglected diseases – including malaria, Japanese Encephalitis Virus and Covid-19 – and provide rapid modelling analyses to policy makers.

The Kids Research Institute Australia

At The Kids, our vision is simple - happy healthy kids. Our goal is to make a real difference in our community to benefit children and families everywhere. Our values underpin the way we work and make decisions: collaboration, courage, evidence, respect.

Kulunga Aboriginal Unit

Facilitate research interest & opportunities that involve Aboriginal families & communities and build the capacity and development of Institute researchers

Research

KAMS MOU

As part of the discussions with Kimberley Aboriginal Medical Service (KAMS) to establish the Broome site of the WAAHKN it has been agreed to establish...

P4 Respiratory Health for Kids

The P4 Respiratory Health for Kids Team is a multi-disciplinary group with skills in clinical medicine, physiology, psychology, and in cellular and molecular biology, that are committed to improving the lives of children with respiratory diseases and their families.

Neonatal Health

Preterm babies have a heightened risk of infection as their immune system is not mature. The Neonatal Health Team is exploring new ways to diagnose, prevent and treat infections in WA's smallest patients .

Research

Undiagnosed Diseases Program (UDP) and Bringing the benefits of precision medicine to children in Western Australia

We have started a project utilising whole genome sequencing of undiagnosed children living in WA to provide a definitive diagnosis. A major challenge here is that the role and functions of the inter-genic regions of our genome (the remaining 98%) are relatively poorly understood.

Research

TrialNet: Pathway to Prevention

This study is helping us to learn how type 1 diabetes develop and ways to delay and prevent it.