University of Canberra Health Research Institute
11 Kirianri Street
Bruce ACT 2601
+61 (02) 6206 8312
uchri@canberra.edu.au
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.
Using novel Bayesian Network analysis, we will develop a practical, user-friendly, generalisable, and scalable tool to inform urban planning initiatives to help decision makers to prioritise initiatives for the greatest health and economic benefits in diverse neighbourhood types to prevent cardiometabolic risk and reduce health inequities.
Funded by: National Health and Medical Research Council
University of Canberra Health Research Institute
11 Kirianri Street
Bruce ACT 2601
+61 (02) 6206 8312
uchri@canberra.edu.au
UC acknowledges the Ngunnawal people, traditional custodians of the lands where Bruce campus is situated. We wish to acknowledge and respect their continuing culture and the contribution they make to the life of Canberra and the region. We also acknowledge all other First Nations Peoples on whose lands we gather.