A user-friendly mathematical modelling web interface to assist local decision making in the fight against drug-resistant tuberculosis

Romain Ragonnet, James M. Trauer, Justin T. Denholm, Ben J. Marais, Emma S. McBryde

Research output: Contribution to journalLetterOtherpeer-review

3 Citations (Scopus)

Abstract

Multidrug-resistant and rifampicin-resistant tuberculosis (MDR/RR-TB) represent an important challenge for global tuberculosis (TB) control. The high rates of MDR/RR-TB observed among re-treatment cases can arise from diverse pathways: de novo amplification during initial treatment, inappropriate treatment of undiagnosed MDR/RR-TB, relapse despite appropriate treatment, or reinfection with MDR/RR-TB. Mathematical modelling allows quantification of the contribution made by these pathways in different settings. This information provides valuable insights for TB policy-makers, allowing better contextualised solutions. However, mathematical modelling outputs need to consider local data and be easily accessible to decision makers in order to improve their usefulness. We present a user-friendly web-based modelling interface, which can be used by people without technical knowledge. Users can input their own parameter values and produce estimates for their specific setting. This innovative tool provides easy access to mathematical modelling outputs that are highly relevant to national TB control programs. In future, the same approach could be applied to a variety of modelling applications, enhancing local decision making.

Original languageEnglish
Article number374
Number of pages5
JournalBMC Infectious Diseases
Volume17
Issue number1
DOIs
Publication statusPublished - 30 May 2017

Keywords

  • Causal pathway
  • Decision making
  • Misdiagnosis
  • Multidrug-resistant tuberculosis
  • Re-treatment
  • Tuberculosis
  • User interface

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