Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Genome-Based Infection Tracking Reveals Dynamics of Clostridium difficile Transmission and Disease Recurrence.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America - 15 Mar 2016

Kumar Nitin, Miyajima Fabio, He Miao, Roberts Paul, Swale Andrew, Ellison Louise, Pickard Derek, Smith Godfrey, Molyneux Rebecca, Dougan Gordon, Parkhill Julian, Wren Brendan W, Parry Christopher M, Pirmohamed Munir, Lawley Trevor D

Abstract excerpt

BACKGROUND: Accurate tracking of Clostridium difficile transmission within healthcare settings is key to its containment but is hindered by the lack of discriminatory power of standard genotyping methods. We describe a whole-genome phylogenetic-based method to track the transmission of individual clones in infected hospital patients from the epidemic C. difficile 027/ST1 lineage, and to distinguish between the 2...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Clostridioides difficile
Share to Clostridium Infections

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Cross Infection

Share to Disease Outbreaks

Share to Hospitalization

Share to Recurrence

Share to Ribotyping

Share to United Kingdom

Source

Open in PubMed Open full text

Identifiers

PMID: 26683317
DOI: 10.1093/cid/civ1031
PMCID: PMC4772841

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Genome-Based Infection Tracking Reveals Dynamics of Clostridium difficile Transmission and Disease Recurrence.PMID 26683317Read ↗

Whole-genome sequencing improves discrimination of relapse from reinfection and identifies transmission events among patients with recurrent Clostridium difficile infectionsSemantic proximity Read ↗

Genomic epidemiology and transmission dynamics of recurrent Clostridioides difficile infection in Western AustraliaSemantic proximity Read ↗

Short-term genome stability of serial Clostridium difficile ribotype 027 isolates in an experimental gut model and recurrent human disease.Semantic proximity Read ↗

Clostridium difficile surveillance: harnessing new technologies to control transmission.Semantic proximity Read ↗

Diverse sources of C. difficile infection identified on whole-genome sequencing.Semantic proximity Read ↗

Clostridioides difficileWhole-genome Sequencing Differentiates Relapse With the Same Strain From Reinfection With a New StrainSemantic proximity Read ↗

The continually evolving Clostridium difficile species.Semantic proximity Read ↗

Genomic surveillance of Clostridioides difficile transmission and virulence in a healthcare settingSemantic proximity Read ↗

Determining the cause of recurrent Clostridium difficile infection using whole genome sequencing.Semantic proximity Read ↗

A Genomic Analysis of Community-Associated C. difficile Infection Demonstrates Integration With National and International Strain Clusters and Limited Direct Transmission.Semantic proximity Read ↗

A molecular epidemiological and transmission analysis of Clostridioides difficile using draft whole-genome sequencing in a single hospital.Semantic proximity Read ↗

Comparison of Control of Clostridium difficile Infection in Six English Hospitals Using Whole-Genome SequencingSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.