Mathematical models of drug-resistant tuberculosis lack bacterial heterogeneity: A systematic review.

ABSTRACT: Drug-resistant tuberculosis (DR-TB) threatens progress in the control of TB. Mathematical models are increasingly being used to guide public health decisions on managing both antimicrobial resistance (AMR) and TB. It is important to consider bacterial heterogeneity in models as it can have consequences for predictions of resistance prevalence, which may affect decision-making. We conducted a systematic review of published mathematical models to determine the modelling landscape and to explore methods for including bacterial heterogeneity. Our first objective was to identify and analyse the general characteristics of mathematical models of DR-mycobacteria, including M. tuberculosis. The second objective was to analyse methods of including bacterial heterogeneity in these models. We had diff

SUBMITTER: Fuller NM 

PROVIDER: S-EPMC11060536 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature