Comparing Mycobacterium tuberculosis transmission reconstruction models from whole genome sequence data.

ABSTRACT: Genomic epidemiology is routinely used worldwide to interrogate infectious disease dynamics. Multiple computational tools exist that reconstruct transmission networks by coupling genomic data with epidemiological models. Resulting inferences can improve our understanding of pathogen transmission dynamics, and yet the performance of these tools has not been evaluated for tuberculosis (TB), a disease process with complex epidemiology including variable latency and within-host heterogeneity. Here, we performed a systematic comparison of six publicly available transmission reconstruction models, evaluating their accuracy when predicting transmission events in simulated and real-world Mycobacterium tuberculosis outbreaks. We observed variability in the number of transmission links that w

SUBMITTER: Sobkowiak B 

PROVIDER: S-EPMC10369424 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature