Dynamic modelling of improved diagnostic testing for drug-resistant tuberculosis in high burden settings
The use of GeneXpert XDR or tNGS as an additional diagnostic test for DR-TB significantly improves DR-TB case detection and reduces treatment failure, supporting their consideration for use in high burden settings. These findings highlight the importance of detecting a wider range of TB resistance in addition to RR-TB, the potential impact these improved diagnostic tests can have on DR-TB outcomes, and the need for additional research on cost-effectiveness of these interventions.
Authors
- Francis A. Tablizo (ORCID: https://orcid.org/0009-0007-1392-3671)
- John Pastor Ansah (ORCID: https://orcid.org/0000-0001-9157-4218)
- Waritta Sawaengdee (ORCID: https://orcid.org/0000-0002-3982-1434)
- Marya Getchell (ORCID: https://orcid.org/0000-0002-5831-4008)
- Ramon Basilio
- Dodge R. Lim (ORCID: https://orcid.org/0000-0002-6271-3861)
- David Bruce Matchar (ORCID: https://orcid.org/0000-0003-3020-2108)
- Surakameth Mahasirimongkol (ORCID: https://orcid.org/0000-0002-7555-1056)
Institutions
- University of the Philippines System (PH)
- Department of Health (PH)
- Ministry of Public Health (TH)
- Duke University (US)
- Research Institute for Tropical Medicine (PH)
- Duke-NUS Medical School (SG)
- Department of Medical Sciences (TH)
- Case Western Reserve University (US)
Publication Details
- Journal
- BMC Infectious Diseases
- Published
- 2024-11-05
- DOI
- https://doi.org/10.1186/s12879-024-10027-6
- Citations
- 2
- Primary Topic
- Tuberculosis Research and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 0.78