Optima Tuberculosis (TB) Modelling

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Key publication

Optimizing Investments in Belarus' Tuberculosis response (PUBLIC HEATH REPORT produced by the World Bank Group in collaboration with Optima Consortium of Decision Sciences)

About Optima TB

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.

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 address 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 Nutrition open source model, click here. Access the user guide and training materials here.

Optima TB

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.






Click here to access all reports.


2015 – ongoing


  • University College London
  • University of Bern
  • University of New South Wales


  • World Bank
  • Global Fund to Fight AIDS
  • Tuberculosis and Malaria
  • U.S. Centers for Disease Control

Contact Details

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

Associate Professor Nick Scott

Head, Modelling & Biostatistics