Projects

Optima HIV Modelling


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Key publication

Optima: A Model for HIV Epidemic Analysis, Program Prioritization, and Resource Optimization.

About Optima HIV

The Optima HIV brand was launched in 2012 but precursors to the model were in development from 2004. Since the Optima launch in 2012, the model has been applied worldwide. Findings from Optima HIV applications and studies have been used to inform: the United Nations General Assembly, Global Fund to Fight AIDS, Tuberculosis and Malaria, Association of Southeast Asian Nations, national HIV/AIDS Strategic Plans, national Global Fund Concept Note applications, and country reports.

Optima HIV results can be used to improve country and health policy decision-making by informing domestic and donor public health funding allocations towards better achieving HIV targets.

The Optima HIV software was conceptualised and developed by the Optima Consortium for Decision Science with technical input from the World Bank, and is owned by Optima Consortium for Decision Science, Ltd. Optima HIV can be reached through www.hiv.optimamodel.com and is free and open source, with the code available for download on GitHub.

Optima HIV helps to:

  • Identify HIV programs to be prioritized with available funding
  • Determine resources required to reach HIV coverage targets and epidemiological objectives
  • Establish the most cost-effective mix of HIV interventions to respond to a country’s HIV epidemic
  • Reveal the investment allocation and coverage allocation for minimizing HIV incidence, HIV-related mortality, or both
  • Calculate future treatment, care, and support costs for people affected by HIV or AIDS
  • Estimate the number of new HIV infections and HIV-related deaths averted through existing or optimized investment

To access the Optima HIV open source model, click here. Access the user guide and training materials here.

HIV health states compartments and transmission-related interactions across the care cascade represented in Optima HIV

HIV health states compartments and transmission-related interactions across the care cascade represented in Optima HIV

Risk-based population mixing patterns represented in Optima HIV

Risk-based population mixing patterns represented in Optima HIV

The primary Consortium partners for developing and applying the Optima suite of tools are University College LondonUniversity of Bern, and the University of New South Wales.

Optima tools have been developed and applied in close partnership and with funding from global health agencies including the: World BankGlobal Fund, and the U.S. Centers for Disease Control. Optima also receives funding from the Australian National Health and Medical Research Council.

The Optima HIV tool is part of the HIV Modelling Consortium, a group supporting evidence-informed decision making by facilitating the application of multiple mathematical models in sub-Saharan Africa.

REPORTS

2020

2019

Click here to access all reports.


Timeline

2004 – ongoing

Collaborators

University College London University of Bern University of New South Wales

Funding

World Bank, Global Fund to Fight AIDS, Tuberculosis and Malaria, U.S. Centers for Disease Control, Australian National Health and Medical Research Council

Contact Details

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

Doctor Nick Scott

Head, Modelling & Biostatistics

Telephone

+61385062410

Email

nick.scott@burnet.edu.au