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Dataset Information

Dynamic modelling of improved diagnostic testing for drug-resistant tuberculosis in high burden settings.


ABSTRACT:

Background

Limited diagnostic testing for drug-resistant TB (DR-TB) may lead to high rates of misdiagnosis and undertreatment. Current diagnostic tests focus only on detection of rifampicin-resistant TB (RR-TB). This study aims to determine the impact of improved diagnostic testing for a wider range of drug resistance on DR-TB outcomes in high-burden TB settings, using the Philippines and Thailand as case studies.

Methods

A dynamic compartmental model was designed to simulate population level TB transmission, accounting for acquired drug resistance from treatment failure of drug susceptible TB. Three scenarios were analyzed: (1) Use of GeneXpert MTB/RIF on all presumptive TB cases (Status Quo); (2) GeneXpert MTB/RIF + GeneXpert XDR, (3) GeneXpert MTB/RIF + targeted Next Gene

SUBMITTER: Getchell M 

PROVIDER: S-EPMC11539495 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature