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Abstract

Background

is one of the most frequent causes of bacterial gastroenteritis. outbreaks are rarely reported, which could be a reflection of a surveillance without routine molecular typing. We have previously shown that numerous small outbreak-like clusters can be detected when whole genome sequencing (WGS) data of clinical isolates was applied.

Aim

Typing-based surveillance of infections was initiated in 2019 to enable detection of large clusters of clinical isolates and to match them to concurrent retail chicken isolates in order to react on ongoing outbreaks.

Methods

We performed WGS continuously on isolates from cases (n = 701) and chicken meat (n = 164) throughout 2019. Core genome multilocus sequence typing was used to detect clusters of clinical isolates and match them to isolates from chicken meat.

Results

Seventy-two clusters were detected, 58 small clusters (2–4 cases) and 14 large clusters (5–91 cases). One third of the clinical isolates matched isolates from chicken meat. One large cluster persisted throughout the whole year and represented 12% of all studied cases. This cluster type was detected in several chicken samples and was traced back to one slaughterhouse, where interventions were implemented to control the outbreak.

Conclusion

Our WGS-based surveillance has contributed to an improved understanding of the dynamics of the occurrence of strains in chicken meat and the correlation to clusters of human cases.

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This work is licensed under a Creative Commons Attribution 4.0 International License.
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/content/10.2807/1560-7917.ES.2021.26.22.2001396
2021-06-03
2024-11-22
http://instance.metastore.ingenta.com/content/10.2807/1560-7917.ES.2021.26.22.2001396
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Whole genome sequencing data used for surveillance of Campylobacter infections: detection of a large continuous outbreak, Denmark, 2019
<p class="citation"> <span>Citation style for this article:</span> <span class="meta-value authors"> <a href="/search?value1=Katrine+Grimstrup+Joensen&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Joensen Katrine Grimstrup</a>, <a href="/search?value1=Susanne+Schj%C3%B8rring&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Schjørring Susanne</a>, <a href="/search?value1=Mette+R%C3%B8rb%C3%A6k+Gantzhorn&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Gantzhorn Mette Rørbæk</a>, <a href="/search?value1=Camilla+Thougaard+Vester&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Vester Camilla Thougaard</a>, <a href="/search?value1=Hans+Linde+Nielsen&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Nielsen Hans Linde</a>, <a href="/search?value1=J%C3%B8rgen+Harald+Engberg&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Engberg Jørgen Harald</a>, <a href="/search?value1=Hanne+Marie+Holt&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Holt Hanne Marie</a>, <a href="/search?value1=Steen+Ethelberg&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Ethelberg Steen</a>, <a href="/search?value1=Luise+M%C3%BCller&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Müller Luise</a>, <a href="/search?value1=Gudrun+Sand%C3%B8&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Sandø Gudrun</a>, <a href="/search?value1=Eva+M%C3%B8ller+Nielsen&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Nielsen Eva Møller</a></span>. Whole genome sequencing data used for surveillance of Campylobacter infections: detection of a large continuous outbreak, Denmark, 2019. <a href="/content/ecdc">Euro Surveill.</a> 2021;26(22):pii=2001396. <a href="https://doi.org/10.2807/1560-7917.ES.2021.26.22.2001396" title="doi link" target="_blank">https://doi.org/10.2807/1560-7917.ES.2021.26.22.2001396</a> <span class="ES_Article_citation"> <span class="generated">Received</span>: 16 Jul 2020;&nbsp;&nbsp; <span class="generated">Accepted</span>: 21 Dec 2020 </span> </p>
/content/10.2807/1560-7917.ES.2021.26.22.2001396
/content/10.2807/1560-7917.ES.2021.26.22.2001396
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