Whole-genome sequence analyses by a new easy-to-use software solution support the suspicion of a neonatal ward outbreak of methicillin-resistant Staphylococcus aureus (MRSA) and transmission between hospitals

Marie Louise Slott Jensen; Ming Chen; Mette Detlefsen; Janne Kudsk Klitgaard; Thomas Emil Andersen; Michael Kemp

doi:10.1017/ICE.2021.123

Whole-genome sequence analyses by a new easy-to-use software solution support the suspicion of a neonatal ward outbreak of methicillin-resistant Staphylococcus aureus (MRSA) and transmission between hospitals

Marie Louise Slott Jensen, Ming Chen, Mette Detlefsen, Janne Kudsk Klitgaard, Thomas Emil Andersen, Michael Kemp

Publikation: Bidrag til tidsskrift › Kommentar/debat › Forskning › peer review

Originalsprog	Engelsk
Tidsskrift	Infection Control & Hospital Epidemiology
Vol/bind	43
Udgave nummer	7
Sider (fra-til)	947-949
ISSN	0899-823X
DOI	https://doi.org/10.1017/ICE.2021.123
Status	Udgivet - jul. 2022

Dokumenter og links

10.1017/ICE.2021.123

Andre filer og links

https://publons.com/publon/47302867/

Citationsformater

Slott Jensen, M. L., Chen, M., Detlefsen, M., Kudsk Klitgaard, J., Andersen, T. E., & Kemp, M. (2022). Whole-genome sequence analyses by a new easy-to-use software solution support the suspicion of a neonatal ward outbreak of methicillin-resistant Staphylococcus aureus (MRSA) and transmission between hospitals. Infection Control & Hospital Epidemiology, 43(7), 947-949. https://doi.org/10.1017/ICE.2021.123

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title = "Whole-genome sequence analyses by a new easy-to-use software solution support the suspicion of a neonatal ward outbreak of methicillin-resistant Staphylococcus aureus (MRSA) and transmission between hospitals",

author = "{Slott Jensen}, {Marie Louise} and Ming Chen and Mette Detlefsen and {Kudsk Klitgaard}, Janne and Andersen, {Thomas Emil} and Michael Kemp",

year = "2022",

month = jul,

doi = "10.1017/ICE.2021.123",

language = "English",

volume = "43",

pages = "947--949",

journal = "Infection Control & Hospital Epidemiology",

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Slott Jensen, ML, Chen, M, Detlefsen, M, Kudsk Klitgaard, J , Andersen, TE & Kemp, M 2022, 'Whole-genome sequence analyses by a new easy-to-use software solution support the suspicion of a neonatal ward outbreak of methicillin-resistant Staphylococcus aureus (MRSA) and transmission between hospitals', Infection Control & Hospital Epidemiology, bind 43, nr. 7, s. 947-949. https://doi.org/10.1017/ICE.2021.123

Whole-genome sequence analyses by a new easy-to-use software solution support the suspicion of a neonatal ward outbreak of methicillin-resistant Staphylococcus aureus (MRSA) and transmission between hospitals. / Slott Jensen, Marie Louise; Chen, Ming; Detlefsen, Mette et al.
I: Infection Control & Hospital Epidemiology, Bind 43, Nr. 7, 07.2022, s. 947-949.

Publikation: Bidrag til tidsskrift › Kommentar/debat › Forskning › peer review

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AU - Slott Jensen, Marie Louise

AU - Chen, Ming

AU - Detlefsen, Mette

AU - Kudsk Klitgaard, Janne

AU - Andersen, Thomas Emil

AU - Kemp, Michael

PY - 2022/7

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Slott Jensen ML, Chen M, Detlefsen M, Kudsk Klitgaard J , Andersen TE, Kemp M. Whole-genome sequence analyses by a new easy-to-use software solution support the suspicion of a neonatal ward outbreak of methicillin-resistant Staphylococcus aureus (MRSA) and transmission between hospitals. Infection Control & Hospital Epidemiology. 2022 jul.;43(7):947-949. Epub 2021 jun. 9. doi: 10.1017/ICE.2021.123