ArticleEpidemiology and infection2014
Real-time investigation of a Legionella pneumophila outbreak using whole genome sequencing.
Article in Epidemiology and infection, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
29 citing papers in PubMed.
- Comparative genome analysis investigation of nosocomial and community-acquired cases of Legionnaires' disease caused by ST2858 and ST378.Microbiology spectrum · 2025Article
- Evaluating Fourier-transform infrared spectroscopy with IR Biotyper as a faster and simpler method for investigating the sources of an outbreak of legionellosis.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2024Article
- High performanceApplied and environmental microbiology · 2024Article
- A review ofFrontiers in public health · 2024Review
- Identifying factors that influence the use of pathogen genomics in Australia and New Zealand: a protocol.Frontiers in public health · 2024Article
- Rapid adaptations ofMicrobial genomics · 2023Article
- Comparative Genomics ofMicroorganisms · 2023Article
- Whole-genome sequencing of the clinical isolate ofEuropean clinical respiratory journal · 2023Article
- Culture-Free Phylogenetic Analysis of Legionella pneumophila Using Targeted CRISPR/Cas9 Next-Generation Sequencing.Microbiology spectrum · 2022Article
- Centre-specific bacterial pathogen typing affects infection-control decision making.Microbial genomics · 2021Article
- Comparison of in situ sequence type analysis of Legionella pneumophila in respiratory tract secretions and environmental samples of a hospital in East Jerusalem.Epidemiology and infection · 2018Article
- Population structure of Environmental and Clinical Legionella pneumophila isolates in Catalonia.Scientific reports · 2018Article
- Genome Sequencing Links Persistent Outbreak of Legionellosis in Sydney (New South Wales, Australia) to an Emerging Clone of Legionella pneumophila Sequence Type 211.Applied and environmental microbiology · 2018Article
- Comparison of Database Search Methods for the Detection ofFrontiers in microbiology · 2018Article
- Towards a genomics-informed, real-time, global pathogen surveillance system.Nature reviews. Genetics · 2018Review
- Article
- A Supervised Statistical Learning Approach for Accurate Legionella pneumophila Source Attribution during Outbreaks.Applied and environmental microbiology · 2017Article
- Epidemiological information is key when interpreting whole genome sequence data - lessons learned from a largeEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2017Article
- Genomic investigation of a suspected outbreak of Legionella pneumophila ST82 reveals undetected heterogeneity by the present gold-standard methods, Denmark, July to November 2014.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2017Article
- Seeding and Establishment of Legionella pneumophila in Hospitals: Implications for Genomic Investigations of Nosocomial Legionnaires' Disease.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2017Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Legionella pneumophila is the main pathogen responsible for outbreaks of Legionnaires' disease, which can be related to contaminated water supplies such as cooling towers or water pipes. We combined conventional molecular methods and whole genome sequence (WGS) analysis to investigate an outbreak of L. pneumophila in a large Australian hospital. Typing of these isolates using sequence-based typing and virulence gene profiling, was unable to discriminate between outbreak and non-outbreak isolates. WGS analysis was performed on isolates during the outbreak, as well as on unlinked isolates from the Public Health Microbiology reference collection. The more powerful resolution provided by analysis of whole genome sequences allowed outbreak isolates to be distinguished from isolates that were temporally and spatially unassociated with the outbreak, demonstrating that this technology can be used in real-time to investigate L. pneumophila outbreaks.
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