Optima Tuberculosis is an open-source model to aid the fight against TB. It combines epidemiological and economic algorithms to find the best ways to optimise resources and reduce disease.
As part of the Optima suite of models, Optima TB can help:
The software also addresses questions tailored to local settings. These include:
We're part of a network of partners working on Optima. Our consortium includes University College London, University of Bern and the University of New South Wales.
How Optima TB models pathways of treatment and diagnosis.
This document is a guide to setting up and conducting an Optima TB project. The skills and familiarity gained will allow users to generate customized Optima TB models to address policy questions towards accelerating the efficient and effective response to Tuberculosis by optimizing the allocation of available funds.
Optima TB user guide [PDF 1.8 MB]Slide deck for 3-day training on Optima TB, in English.
TB allocative efficiency analysis training - English [PDF 6.0 MB]Slide deck for 3-day training on Optima TB, in Russian.
TB allocative efficiency analysis training - Russian [PDF 11.0 MB]BMJ Global Health
Anna L. Bowring, Debra ten Brink, Rowan Martin‐Hughes, Nick Scott
PLOS Global Public Health
Sherrie L. Kelly, Sarah Jarvis, Romesh Abeysuriya, Anna Roberts, David Wilson, Rowan Martin‐Hughes
PLOS Global Public Health
Rowan Martin‐Hughes, Sherrie L. Kelly, Anna Roberts
PLoS Computational Biology
Azfar Hussain, David Jacob Kedziora, Sarah Jarvis, Romesh Abeysuriya, Rowan Martin‐Hughes, Sherrie L. Kelly, Anna Roberts, Robyn M. Stuart, Cliff C. Kerr, David Wilson
This report outlines recommendations to minimise both drug-resistant tuberculosis (TB) cases and TB-related deaths in Tajikistan by 2030. It describes the Optima TB model used to carry out analyses.
Optima TB Tajikistan 2024 final report [PDF 1.9 MB]This report outlines recommendations to minimise both drug-resistant tuberculosis (TB) cases and TB-related deaths in Kyrgyzstan by 2030. It describes the Optima TB model used to carry out analyses.
Optima TB Kyrgyzstan 2024 final report [PDF 1.9 MB]This report outlines recommendations to minimise both drug-resistant tuberculosis (TB) cases and TB-related deaths in Uzbekistan by 2030. It describes the Optima TB model used to carry out analyses.
Optima TB Uzbekistan 2023 final report [PDF 2.0 MB]This report outlines recommendations to minimise both drug-resistant tuberculosis (TB) cases and TB-related deaths in Moldova by 2030. It describes the Optima TB model used to carry out analyses.
Optima TB Moldova 2023 final report [PDF 2.8 MB]This report outlines recommendations to minimise both drug-resistant tuberculosis (TB) cases and TB-related deaths in Belarus by 2030. It describes the Optima TB model used to carry out analyses.
Optima TB Belarus 2023 final report [PDF 2.0 MB]Controlling TB in Indonesia will require not only that the Government of Indonesia (GOI) spend more on TB but that it spends better. This means that decisions on which interventions or programs to prioritise and how best to implement them will be critical to maximizing health outcomes. The Optima TB modeling analysis was conducted to estimate how existing and additional resources might be optimally allocated to maximize the impact of the national TB response, and which gaps in the TB treatment cascade offered the greatest scope for improvement.<br/>
Optima TB Indonesia 2020 report [PDF 690.3 kB]This policy brief summarizes the findings of an allocative efficiency analysis and mathematical modeling effort using the Optima TB Model, undertaken to support the Government of Romania in its national tuberculosis (TB) response.
Optima TB Romania 2020 report [PDF 1.0 MB]This brief summarizes the findings of an allocative efficiency analysis using the Optima TB model and highlights opportunities to improve Malawi’s TB response. The analysis was a collaboration between the Malawi National Tuberculosis Program, the World Bank and its academic partner the University College London. The study was designed in 2018 and implemented during 2019, well before the COVID-19 pandemic started to impact the Malawi health services.
Optima TB Malawi 2019 final report [PDF 2.2 MB]This report summarises the experience and learning from the pilot application of the Optima TB model in a HIV/TB co-epidemic setting. Optima TB supports allocative efficiency analyses of TB responses and the pilot study was conducted in South Africa’s Gauteng Province. The report also presents the findings obtained with this pilot application of Optima TB regarding epidemic trends, TB spending patterns, and the modelled effects of several resource allocation scenarios and optimization.
Optima TB Gauteng South Africa 2019 report [PDF 9.1 MB]Epidemiological projections using the Optima TB model indicate a declining future trend in TB incidence, TB prevalence and TB-related deaths in Mozambique. However, the total number of new cases is projected to remain fairly stable due to the rapid increase in population size.
Optima TB Mozambique 2019 report [PDF 12.9 MB]This report summarizes the findings of an allocative efficiency study of Moldova’s Tuberculosis (TB) response, which was conducted in 2017 using the Optima TB model.
Optima TB Moldova 2018 report [PDF 6.3 MB]This report summarizes the findings of an allocative efficiency study of Belarus’ Tuberculosis (TB) response, which was conducted using the Optima-TB model in 2016-17.
Optima TB Belarus 2016–2017 report [PDF 4.5 MB]