Ontology highlight
ABSTRACT: Background
Traditional methods for molecular epidemiology of Neisseria gonorrhoeae are suboptimal. Whole-genome sequencing (WGS) offers ideal resolution to describe population dynamics and to predict and infer transmission of antimicrobial resistance, and can enhance infection control through linkage with epidemiological data. We used WGS, in conjunction with linked epidemiological and phenotypic data, to describe the gonococcal population in 20 European countries. We aimed to detail changes in phenotypic antimicrobial resistance levels (and the reasons for these changes) and strain distribution (with a focus on antimicrobial resistance strains in risk groups), and to predict antimicrobial resistance from WGS data.Methods
We carried out an observational study, in which we s
SUBMITTER: Harris SR
PROVIDER: S-EPMC6010626 | biostudies-literature | 2018 Jul
REPOSITORIES: biostudies-literature