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^*

^*Corresponding author af dette arbejde

Klinisk Mikrobiologisk Afdeling

Publikation: Bidrag til tidsskrift › Letter › Forskning › peer review

Originalsprog	Engelsk
Sider (fra-til)	1-3
Antal sider	3
Tidsskrift	Infection Control and Hospital Epidemiology
DOI	https://doi.org/10.1017/ice.2021.123
Status	Udgivet, E-publikation før trykning - 9 jun. 2021

Adgang til dokumentet

10.1017/ice.2021.123

Citationsformater

Slott Jensen, M. L., Chen, M., Detlefsen, M., Kudsk Klitgaard, J., Andersen, T. E., & Kemp, M. (2021). 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 and Hospital Epidemiology, 1-3. https://doi.org/10.1017/ice.2021.123

Slott Jensen, Marie Louise ; Chen, Ming ; Detlefsen, Mette ; Kudsk Klitgaard, Janne ; Andersen, Thomas Emil ; Kemp, Michael. / 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. I: Infection Control and Hospital Epidemiology. 2021 ; s. 1-3.

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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 = "2021",

month = jun,

day = "9",

doi = "10.1017/ice.2021.123",

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Slott Jensen, ML, Chen, M, Detlefsen, M, Kudsk Klitgaard, J, Andersen, TE & Kemp, M 2021, '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 and Hospital Epidemiology, s. 1-3. 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; Kudsk Klitgaard, Janne; Andersen, Thomas Emil; Kemp, Michael.

I: Infection Control and Hospital Epidemiology, 09.06.2021, s. 1-3.

Publikation: Bidrag til tidsskrift › Letter › Forskning › 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 - 2021/6/9

Y1 - 2021/6/9

U2 - 10.1017/ice.2021.123

DO - 10.1017/ice.2021.123

M3 - Letter

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JO - Infection Control and Hospital Epidemiology

JF - Infection Control and Hospital Epidemiology

SN - 0899-823X

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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 and Hospital Epidemiology. 2021 jun. 9;1-3. https://doi.org/10.1017/ice.2021.123