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Data_Sheet_1_Implementation of targeted next-generation sequencing for the diagnosis of drug-resistant tuberculosis in low-resource settings: a programmatic model, challenges, and initial outcomes.docx

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NIAID Data Ecosystem2026-05-01 收录
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https://figshare.com/articles/dataset/Data_Sheet_1_Implementation_of_targeted_next-generation_sequencing_for_the_diagnosis_of_drug-resistant_tuberculosis_in_low-resource_settings_a_programmatic_model_challenges_and_initial_outcomes_docx/23827728
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Targeted next-generation sequencing (tNGS) from clinical specimens has the potential to become a comprehensive tool for routine drug-resistance (DR) prediction of Mycobacterium tuberculosis complex strains (MTBC), the causative agent of tuberculosis (TB). However, TB mainly affects low- and middle-income countries, in which the implementation of new technologies have specific needs and challenges. We propose a model for programmatic implementation of tNGS in settings with no or low previous sequencing capacity/experience. We highlight the major challenges and considerations for a successful implementation. This model has been applied to build NGS capacity in Namibia, an upper middle-income country located in Southern Africa and suffering from a high-burden of TB and TB-HIV, and we describe herein the outcomes of this process.
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2023-08-03
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