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Comparative statistical analysis of five software programs for predicting anti-TB drug resistance.

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posted on 2023-12-05, 18:24 authored by Gabriel Morey-León, Paulina M. Mejía-Ponce, Juan Carlos Granda Pardo, Karen Muñoz-Mawyin, Juan Carlos Fernández-Cadena, Evelyn García-Moreira, Derly Andrade-Molina, Cuauhtémoc Licona-Cassani, Luisa Berná

Comparative statistical analysis of five software programs for predicting anti-TB drug resistance.

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world health organization infectious disease caused infected people cough deadliest diseases worldwide 941 cohen ’increased drug resistance global resistance detection effective drug treatment 88 ecuadorian isolates previously resistant isolates based bioinformatics tools genomic resistance screening determining canonical resistance genome sequencing tools mycobacterium tuberculosis genome sequencing ecuadorian isolates resistant isolates based tools resistance diagnosis detecting resistance characterize resistance line detection resistant cases based tool rrs rpob pnca katg gyra embb treatment due routine application results showed related mutations precision overview patient adherence often spread mutations characterized molecular epidemiology mainly due long duration line drugs late diagnosis laborious process kappa ),improve second findings suggest continuous emergence commonly affects better correlations also identified 19 pandemic

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