Projects

Decision science using Optima

Research and applications across a range of disease areas to improve allocative efficiency (the maximisation of health outcomes using the most cost-effective mix of interventions and implementation methods).

Optima models have been used extensively to address investment choices related to numerous areas including HIV/AIDS, tuberculosis, malaria, viral hepatitis, and nutrition.

Modelling groups affiliated with the Optima Consortium are continuing to extend the Optima approach, by developing new applications to inform investment of publicly-funded benefits packages for entire health systems, and for optimising implementation options across diverse sectors.

optimamodel.com

Collaborators

  • University of New South Wales
  • University College London
  • University of Geneva
  • University of Copenhagen

Funding

World Bank, The Global Fund, The U.S. Centers for Disease Control, NHMRC.

Contact Details

For any general enquiries relating to this project, please contact:

Professor David Wilson

Head of Infectious Disease Modelling

Email

david.wilson@burnet.edu.au