Genome-based transmission modelling separates imported tuberculosis from recent transmission within an immigrant population.

ABSTRACT: In many countries the incidence of tuberculosis (TB) is low and is largely shaped by immigrant populations from high-burden countries. This is the case in Norway, where more than 80 % of TB cases are found among immigrants from high-incidence countries. A variable latent period, low rates of evolution and structured social networks make separating import from within-border transmission a major conundrum to TB control efforts in many low-incidence countries. Clinical Mycobacterium tuberculosis isolates belonging to an unusually large genotype cluster associated with people born in the Horn of Africa have been identified in Norway over the last two decades. We modelled transmission based on whole-genome sequence data to estimate infection times for individual patients. By contrasting these e

SUBMITTER: Ayabina D 

PROVIDER: S-EPMC6249437 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature