Novel Modelling To Improve Decision-making For Neighbourhood Design To Reduce Chronic Disease Risk
Funder
National Health and Medical Research Council
Funding Amount
$901,564.00
Summary
Research on urban design that might support liveability and health (the 20-minute neighbourhood concept) has used analytic methods that do not account for the complexity of urban environments. This study innovatively uses a flexible and applicable approach (Bayesian Networks) to show where neighbourhood features operate uniquely or not, which features can be prioritised, which are cost effective, and how much of each feature is needed to achieve improvement in reducing risk of chronic disease.
We aim to discover and develop a blood test that can predict which lung cancers have spread to lymph glands in the chest, to help decide on the best treatment options.