Building a compelling case for prevention: Computational modelling of health and economic benefits of chronic disease prevention interventions in Australia
A proof-of-concept demonstration of the potential of dynamic simulation methods to show how several modifiable risk factors interact, and the impact of a range of interventions on both risk factor prevalence and health and economic burden.
Reports 
- Existing modelling can forecast the health burden of chronic diseases and the impact of individual risk factors, but it does not consider what happens in the real world – for example, how interventions work in combination, or how people live with multiple risky behaviours that jointly influence the same preventable chronic disease.
- Prevention Centre policy partners are invited to engage with our online simulation interface to simulate policy experiments.
- The next phase of the project is to develop the proof-of-concept model into a robust decision support tool for policy makers.
- This model requires further development before it is suitable for informing investment decisions.
Findings Brief