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Genomics for antimicrobial resistance surveillance to support infection prevention and control in health-care facilities

Jauneikaite, E; Baker, KS; Nunn, JG; Midega, J; Hsu, LY; Singh, SR; Halpin, AL; Hopkins, KL; Price, JR; Srikantiah, P; et al. Jauneikaite, E; Baker, KS; Nunn, JG; Midega, J; Hsu, LY; Singh, SR; Halpin, AL; Hopkins, KL; Price, JR; Srikantiah, P; Egyir, B; Okeke, IN; Holt, KE; Peacock, SJ; Feasey, NA (2023) Genomics for antimicrobial resistance surveillance to support infection prevention and control in health-care facilities. LANCET MICROBE, 4 (12). pp. 1040-1046. ISSN 2666-5247 https://doi.org/10.1016/S2666-5247(23)00282-3
SGUL Authors: Moore, Catrin Elisabeth

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Abstract

Integration of genomic technologies into routine antimicrobial resistance (AMR) surveillance in health-care facilities has the potential to generate rapid, actionable information for patient management and inform infection prevention and control measures in near real time. However, substantial challenges limit the implementation of genomics for AMR surveillance in clinical settings. Through a workshop series and online consultation, international experts from across the AMR and pathogen genomics fields convened to review the evidence base underpinning the use of genomics for AMR surveillance in a range of settings. Here, we summarise the identified challenges and potential benefits of genomic AMR surveillance in health-care settings, and outline the recommendations of the working group to realise this potential. These recommendations include the definition of viable and cost-effective use cases for genomic AMR surveillance, strengthening training competencies (particularly in bioinformatics), and building capacity at local, national, and regional levels using hub and spoke models.

Item Type: Article
Additional Information: Copyright © 2023 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.
SGUL Research Institute / Research Centre: Academic Structure > Infection and Immunity Research Institute (INII)
Journal or Publication Title: LANCET MICROBE
ISSN: 2666-5247
Dates:
DateEvent
29 November 2023Published
14 November 2023Published Online
22 August 2002Accepted
Publisher License: Creative Commons: Attribution 4.0
Projects:
Project IDFunderFunder ID
UNSPECIFIEDWellcome Trusthttp://dx.doi.org/10.13039/100004440
Web of Science ID: WOS:001127961200001
URI: https://openaccess.sgul.ac.uk/id/eprint/117006
Publisher's version: https://doi.org/10.1016/S2666-5247(23)00282-3

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