| Title |
Implementation of Nationwide Real-time Whole-genome Sequencing to Enhance Listeriosis Outbreak Detection and Investigation
|
|---|---|
| Published in |
Clinical Infectious Diseases, April 2016
|
| DOI | 10.1093/cid/ciw242 |
| Pubmed ID | |
| Authors |
Brendan R. Jackson, Cheryl Tarr, Errol Strain, Kelly A. Jackson, Amanda Conrad, Heather Carleton, Lee S. Katz, Steven Stroika, L. Hannah Gould, Rajal K. Mody, Benjamin J. Silk, Jennifer Beal, Yi Chen, Ruth Timme, Matthew Doyle, Angela Fields, Matthew Wise, Glenn Tillman, Stephanie Defibaugh-Chavez, Zuzana Kucerova, Ashley Sabol, Katie Roache, Eija Trees, Mustafa Simmons, Jamie Wasilenko, Kristy Kubota, Hannes Pouseele, William Klimke, John Besser, Eric Brown, Marc Allard, Peter Gerner-Smidt |
| Abstract |
Listeria monocytogenes(Lm) causes severe foodborne illness (listeriosis). Previous molecular subtyping methods, such as pulsed-field gel electrophoresis (PFGE), were critical in detecting outbreaks that led to food safety improvements and declining incidence, but PFGE provides limited genetic resolution. A multiagency collaboration began performing real-time, whole-genome sequencing (WGS) on all U.S.Lmisolates from patients, food, and the environment in September 2013, posting sequencing data into a public repository. Compared with the year before the project began, WGS, combined with epidemiologic and product trace-back data, detected more listeriosis clusters and solved more outbreaks (2 outbreaks in pre-WGS year, 5 in WGS year 1, and 9 in year 2). Whole-genome multilocus sequence typing and single nucleotide polymorphism analyses provided equivalent phylogenetic relationships relevant to investigations; results were most useful when interpreted in context of epidemiological data. WGS has transformed listeriosis outbreak surveillance and is being implemented for other foodborne pathogens. |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 40% |
| Sweden | 1 | 10% |
| Unknown | 5 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 60% |
| Members of the public | 3 | 30% |
| Practitioners (doctors, other healthcare professionals) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 245 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 243 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 39 | 16% |
| Researcher | 37 | 15% |
| Student > Master | 33 | 13% |
| Student > Bachelor | 18 | 7% |
| Other | 14 | 6% |
| Other | 36 | 15% |
| Unknown | 68 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 60 | 24% |
| Biochemistry, Genetics and Molecular Biology | 31 | 13% |
| Immunology and Microbiology | 31 | 13% |
| Medicine and Dentistry | 18 | 7% |
| Veterinary Science and Veterinary Medicine | 8 | 3% |
| Other | 21 | 9% |
| Unknown | 76 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 48. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 October 2023.
All research outputs
#881,194
of 26,017,215 outputs
Outputs from Clinical Infectious Diseases
#1,602
of 17,023 outputs
Outputs of similar age
#15,341
of 317,192 outputs
Outputs of similar age from Clinical Infectious Diseases
#19
of 154 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,023 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 31.7. This one has done particularly well, scoring higher than 90% of its peers.
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