SHINE

Scalable Health Intervention Evaluation

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We are a diverse team of scientists quantifying the health, health equity and economic impacts of population interventions

Our vision

To improve health outcomes and reduce health inequalities through decision-making that is routinely informed by health, cost and inequality impacts of different interventions.

We are at a point in time where we can structure existing data and research through simulation modelling to answer the important questions of: “what health gain and cost (savings) would Intervention X lead to, and for whom?”.  SHINE achieves this by blending epidemiology, economics and, data science.

What is "SHINE"?

Collaborate with us

Through SHINE, we seek to leverage sophisticated simulation approaches from epidemiology, economics, and data science to provide robust evidence on the health, health inequality and economic impacts of population interventions.  We offer consulting services and have our HIIC tool available to use, a tool that allows you to input changes in disease incidence, case fatality, remission and severity rate that ‘your intervention’ will likely generate.

HIIC Tool

SHINE: Scaleable Health Intervention Evaluation

Our staff

Meet our diverse team of epidemiologists, economists, data and computer scientists and health inequality experts.

Profile picture of Tony Blakely

Prof Tony Blakely

Unit Head, Epidemiologist, & Public Health Medicine Specialist
antony.blakely@unimelb.edu.au
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A/Prof Driss Ait Ouakrim

Principal Research Fellow in Epidemiology
driss.aitouakrim@unimelb.edu.au
Profile picture of Stephanie Khuu

Dr Stephanie Khuu

Research Fellow Simulation Modelling
stephanie.khuu@unimelb.edu.au
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Olivia Tolaini

Principal Business Development Manager
olivia.tolaini@unimelb.edu.au