Evidence map›Paper›PMID 27396609›Full record

ArticleInfection ecology & epidemiology2016

Comparison of whole genome sequencing typing results and epidemiological contact information from outbreaks of Salmonella Dublin in Swedish cattle herds.

Estelle C C Ågren, Helene Wahlström, Catrin Vesterlund-Carlson, Elina Lahti, Lennart Melin, Robert Söderlund

Abstract read
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Article in Infection ecology & epidemiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Microbiology spectrum · 2026
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  2. Using SNP addresses forEpidemiology and infection · 2023
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  3. Article
  4. Article
  5. Clonal relation betweenFrontiers in veterinary science · 2023
    Article
  6. Article
  7. Whole-Genome Investigation ofMicroorganisms · 2022
    Article
  8. Article
  9. Monitoring the Microevolution ofFrontiers in microbiology · 2021
    Article
  10. Epidemiology ofApplied and environmental microbiology · 2020
    Article
  11. Article
  12. Disentangling a complex nationwideEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2019
    Article
  13. Article
  14. Review
  15. Investigation of a Carbapenemase-producingAntimicrobial resistance and infection control · 2018
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Estelle C C ÅgrenDepartment of Disease Control and Epidemiology, National Veterinary Institute, Uppsala, Sweden; estelle.agren@sva.se.
Helene WahlströmDepartment of Disease Control and Epidemiology, National Veterinary Institute, Uppsala, Sweden.
Catrin Vesterlund-CarlsonDepartment of Disease Control and Epidemiology, National Veterinary Institute, Uppsala, Sweden.
Elina LahtiDepartment of Disease Control and Epidemiology, National Veterinary Institute, Uppsala, Sweden.
Lennart MelinDepartment of Microbiology, National Veterinary Institute, Uppsala, Sweden.
Robert SöderlundDepartment of Microbiology, National Veterinary Institute, Uppsala, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhole genome sequencing (WGS) is becoming a routine tool for infectious disease outbreak investigations. The Swedish situation provides an excellent opportunity to test the usefulness of WGS for investigation of outbreaks with Salmonella Dublin (S. Dublin) as epidemiological investigations are always performed when Salmonella is detected in livestock production, and index isolates from all detected herds are stored and therefore available for analysis. This study was performed to evaluate WGS as a tool in forward and backward tracings from herds infected with S. Dublin. MATERIAL AND

methodsIn this study, 28 isolates from 26 cattle herds were analysed and the WGS results were compared with results from the epidemiological investigations, for example, information on contacts between herds. The isolates originated from herds in three different outbreaks separated geographically and to some extent also in time, and from the only region in Sweden where S. Dublin is endemic (Öland).

resultsThe WGS results of isolates from the three non-endemic regions were reliably separated from each other and from the endemic isolates. Within the outbreaks, herds with known epidemiological contacts generally showed smaller differences between isolates as compared to when there were no known epidemiological contacts.

conclusionThe results indicate that WGS can provide valuable supplemental information in S. Dublin outbreak investigations. The resolution of the WGS was sufficient to distinguish isolates from the different outbreaks and provided additional information to the investigations within an outbreak.

Indexed as

molecular epidemiologyNGSSNPSwedenWGSzoonosis

Identifiers

PMID27396609
PMCPMC4938893

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.