作者
Simon R Harris, Michelle J Cole, Gianfranco Spiteri, Leonor Sánchez-Busó, Daniel Golparian, Susanne Jacobsson, Richard Goater, Khalil Abudahab, Corin A Yeats, Beatrice Bercot, Maria José Borrego, Brendan Crowley, Paola Stefanelli, Francesco Tripodo, Raquel Abad, David M Aanensen, Magnus Unemo, Jacinta Azevedo, Eszter Balla, Christopher Barbara, Thea Bergheim, Viviane Bremer, Susanne Buder, Panayiota Maikanti-Charalambous, Stephanie Chisholm, Susan Cowan, Tania Crucitti, Mercedes Diez, Mária Dudás, Kirstine Eastick, Agathe Goubard, Maria Haller, Guôrún Svanborg Hauksdóttir, Steen Hoffmann, Gwenda Hughes, Derval Igoe, Samo Jeverica, Irena Klavs, Hilde Kløvstad, Peter Kohl, Vasileia Konte, Ineke Linde, Violeta Mavcutko, Jackie Maistre Melillo, Gatis Pakarna, Peter Pavlik, Despo Pieridou, Guy La Ruche, Guôrún Sigmundsdóttir, Soteroulla Soteriou, Angelika Stary, Barbara Suligoi, Peter Truska, Eva Tzelepi, Birgit Van Benthem, Alje Van Dam, Julio Vazquez, Inga Velicko, Ruth Verbrugge
发表日期
2018/7/1
期刊
The Lancet Infectious Diseases
卷号
18
期号
7
页码范围
758-768
出版商
Elsevier
简介
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 sequenced isolates taken from patients with gonorrhoea from the European Gonococcal Antimicrobial Surveillance Programme in …
引用总数
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