Optima Tuberculosis (TB) Modelling

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Optima TB helps to:

• Determine the best allocation of resources to achieve disease reduction and elimination goals
• Project trends associated with different levels of program funding at the national and subnational level
• Identify the optimized allocations of available funding to achieve the greatest health impacts based on the user’s health goals
• Facilitate policy scenario analyses to explore how TB funding can be more efficiently allocated across detection, prevention, and treatment services
• Explore the capacity required for service and diagnostic modalities towards achieving health targets.

The software also addresses specific questions tailored to local settings such as:

• What are the priority approaches to identify and reduce the prevalence of drug-resistant strains of TB in my priority districts?
• What is the best combination of TB-related services for populations co-infected with HIV and TB attending my network of facilities?

To access the Optima TB open source model, click here. Access the user guide and training materials in the relevant dropdown on this page.

Optima Tuberculosis (TB) combines an epidemiological model with Optima’s economic modelling approach and optimization algorithm to identify the most efficient ways to prioritize resources to reach country goals.

2015 – ongoing

The primary Consortium partners for developing and applying the Optima suite of tools are University College London, University 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 Bank, Global Fund, and the U.S. Centers for Disease Control. Optima also receives funding from the Australian National Health and Medical Research Council.