MAP-IT tool helps make decisions on childhood TB interventions investments

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The following is a guest post by Olivia Burrus, Allyson Drew, Emily MacGuire  of RTI International and Irina Usherenko of TB Alliance

Childhood TB is a major issue, infecting up to one million children each year. The good news is that there are several effective diagnostic, treatment, and prevention strategies that can have a major impact on decreasing the burden of childhood TB and mortality. These include interventions like contact tracing, fixed-dose medication, and rapid testing. We must consider however, that not every strategy is going to be equally effective in every context. What works well in Kenya may not be as effective in India and vice-versa. With limited resources at our disposal, how do we decide which intervention approach to invest our efforts in? How do we make sure that the options we select will have the best evidence-based impact on child TB morbidity and mortality in the country we’re working in?

Thinking through these questions and making decisions about resource allocations can be challenging. To help with this, TB Alliance and RTI International, with funding from UNITAID, have been working together to develop a tool that provides decision makers, advocates, and other stakeholders the data they need to make more informed decisions on child TB prevention methods and drive the development and adoption of new interventions.

MAP-IT  — the Model for Assessment of Pediatric Interventions for Tuberculosis — is a free and easy-to-use web-based decision tool that estimates the potential impact of different interventions on child TB morbidity and mortality in specific countries. MAP-IT also allows users to combine interventions to see the potential impact of intervention synergies.

Examples of questions that the MAP-IT model could help answer include:

  1. How many lives could be saved by a specific intervention — a new treatment regimen, early diagnosis — for childhood TB?
  2. How many cases of childhood TB  — latent, active, or drug sensitive or drug-resistant —  can be prevented using better diagnostic and treatment options?
  3. What pediatric outcomes result from improvements to both diagnostic and therapeutic interventions?
  4. How many cases of childhood TB illness and death can be averted by early diagnosis and appropriate treatment of TB?

MAP-IT was developed with input from the World Health Organization  modeling staff and third-party childhood TB experts. The data behind the model are reliable, with primary sources including the WHO and World Bank. Each time you run a scenario in the tool, a list of all the citations and references used to generate specific results is provided to ensure transparency on the data sources and assumptions.

MAP-IT now provides data for ten countries: Nigeria, South Africa, Kenya, India, Pakistan, Philippines, Ethiopia, Democratic Republic of Congo, Bangladesh, and Papua New Guinea, with the potential to include additional countries and updated interventions as data become available.

Users can explore MAP-IT by visiting A tutorial video on how to use the model is available here:

For more details,  Check out Contact Irina Usherenko from TB Alliance ( or Allyson Drew from RTI International ( for more information.

Join the conversation: We are eager to hear how MAP-IT is helping you. Tweet at us @TBAlliance and use the hashtag #MAP_IT to join the conversation.

Graphics by Mikayla Eason  of RTI International

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