Tuberculosis (TB) is a global public health crisis, compounded by the continuing rise of drug resistant forms of TB, as well as its effects in individuals co-infected with HIV. In addition to active cases of TB, latent TB forms a substantial reservoir of potential active cases. Lastly, people may become re-infected with TB.

These factors require extra consideration when deciding how to best support programs to reduce TB through diagnosis, treatment of drug-sensitive and drug-resistant TB, and minimizing the TB transmission through preventative measures.

Why Optima TB?

Governments and their partners want to achieve the best outcomes in the response to the TB epidemic. Budgetary constraints limit the feasibility of providing all services for the prevention, detection, and treatment of TB across all populations and locations. Focused public health responses and efficiencies in program delivery are essential to ensure that programs can do more with available funding. By freeing up scarce resources, efficiency gains offer a vital source of new funding that can be reinvested into the health budget.

Optima TB helps decision makers invest existing funds to efficiently address national priorities, reduce disease burden, and plan for programmatic and financial sustainability.

Reaching TB health targets through optimal allocation of available funding

Developed in partnership by University College London (UCL) and the Burnet Institute, Optima TB combines UCL’s epidemiological model of TB transmission and disease progression with Optima’s optimization algorithm. The software identifies optimal allocations of available funding to achieve the greatest health impacts based on the user’s health goals.

Explore TB targets and policy goals

Optima TB allows users to project trends associated with different levels of program funding at the national and subnational level. It allows users to define disease reduction and elimination goals and determine the best allocation of resources to achieve those goals.

The tool can also facilitate policy scenario analyses to explore how TB funding can be more efficiently allocated across detection, prevention, and treatment services. Users can also explore the capacity required for service and diagnostic modalities towards achieving health targets.

Adaptable analytics for different types of TB epidemics

Optima TB is flexible and in addition to many standard scenarios, it can be tailored to country specific questions, such as:

  • How should resources be allocated to identify and reduce the prevalence of drug-resistant strains of TB?
  • What is the best combination of TB-related services for populations coinfected with HIV and TB?

Optima TB applications

The Optima TB modeling approach, and its initial technical and steering groups, was launched in 2015. The model has been applied in priority countries across sub-Saharan Africa, Europe and Central Asia, East Asia and the Pacific, and Latin America and the Caribbean. Improvements to the model and context specific customization are continuously ongoing to best meet the needs of country representatives and their partners in better responding to the TB epidemic.

Visit Optima Publications for more detailed information.