Article: Estimation of country-specific tuberculosis resistance antibiograms using pathogen genomics and machine learning.
BMJ global health
2024 Volume 9, Issue 3
Abstract: Background: Global tuberculosis (TB) drug resistance (DR) surveillance focuses on rifampicin. We examined the potential of public and surveillance : Methods: We curated and quality-controlled : Results: Mtb: Conclusions: This is the first ... ...
Abstract | Background: Global tuberculosis (TB) drug resistance (DR) surveillance focuses on rifampicin. We examined the potential of public and surveillance Methods: We curated and quality-controlled Results: Mtb Conclusions: This is the first attempt at global |
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MeSH term(s) | Humans ; Antitubercular Agents/pharmacology ; Antitubercular Agents/therapeutic use ; Isoniazid/pharmacology ; Isoniazid/therapeutic use ; Ethionamide/therapeutic use ; Rifampin/therapeutic use ; Tuberculosis, Multidrug-Resistant/drug therapy ; Tuberculosis, Multidrug-Resistant/epidemiology ; Genomics ; Microbial Sensitivity Tests ; Machine Learning |
Chemical Substances | Antitubercular Agents ; Isoniazid (V83O1VOZ8L) ; Ethionamide (OAY8ORS3CQ) ; Rifampin (VJT6J7R4TR) |
Language | English |
Publishing date | 2024-03-28 |
Publishing country | England |
Document type | Journal Article |
ISSN | 2059-7908 |
ISSN | 2059-7908 |
DOI | 10.1136/bmjgh-2023-013532 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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