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

Research output: Contribution to journal › Comment/debate › Research › peer-review

Original language	English
Journal	Infection Control & Hospital Epidemiology
Volume	43
Issue number	7
Pages (from-to)	947-949
ISSN	0899-823X
DOIs	https://doi.org/10.1017/ICE.2021.123
Publication status	Published - Jul 2022

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10.1017/ICE.2021.123

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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",

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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, vol. 43, no. 7, pp. 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.
In: Infection Control & Hospital Epidemiology, Vol. 43, No. 7, 07.2022, p. 947-949.

Research output: Contribution to journal › Comment/debate › Research › peer-review

TY - JOUR

T1 - 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

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

U2 - 10.1017/ICE.2021.123

DO - 10.1017/ICE.2021.123

M3 - Comment/debate

SN - 0899-823X

VL - 43

SP - 947

EP - 949

JO - Infection Control & Hospital Epidemiology

JF - Infection Control & Hospital Epidemiology

IS - 7

ER -

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

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

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