Genomic Epidemiology & Drug Resistance in Mycobacterium tuberculosis
A special issue of Pathogens (ISSN 2076-0817). This special issue belongs to the section "Bacterial Pathogens".
Deadline for manuscript submissions: 30 June 2026 | Viewed by 568
Special Issue Editors
Interests: pathogen genomics
Special Issue Information
Dear Colleagues,
Mycobacterium tuberculosis (Mtb), the causative agent of tuberculosis (TB), remains a leading cause of morbidity and mortality worldwide. The growing threat of drug-resistant TB poses significant challenges to global TB control efforts. Recent advances in genomic epidemiology and bioinformatics have significantly enhanced our understanding of Mtb transmission dynamics, resistance mechanisms, and the evolution of drug-resistant strains. This Special Issue welcomes original research, reviews, and methodological articles focused on molecular surveillance, whole-genome sequencing, and resistance profiling of M. tuberculosis. We particularly encourage submissions leveraging data science and machine learning to integrate genomic, clinical, and epidemiological data for improved diagnostics, treatment strategies, and public health responses. The findings from this collection aim to inform innovative solutions for TB control and resistance mitigation globally.
Dr. Benson Kidenya
Dr. Gerald Mboowa
Guest Editors
Manuscript Submission Information
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Keywords
- Mycobacterium tuberculosis
- genomic epidemiology
- drug resistance
- whole genome sequencing
- machine learning
- data science
- antimicrobial resistance (AMR)
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