Towards real-time monitoring of COVID-19 nosocomial clusters using SARS-CoV-2 genomes in a university hospital of the French Alps

OBJECTIVES: Experience of Nextstrain [1], [2] and its approach adapted to the local context encouraged us to carry out real-time monitoring of COVID-19 nosocomial clusters in our establishment, the Grenoble Alpes University Hospital. PATIENTS AND METHODS, RESULTS: Through identification from electro...

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Autores principales: Gallouche, Meghann, Landelle, Caroline, Larrat, Sylvie, Truffot, Aurélie, Bosson, Jean-Luc, Caporossi, Alban
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Masson SAS. 2023
Materias:
Short Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9869615/
https://www.ncbi.nlm.nih.gov/pubmed/36702307
http://dx.doi.org/10.1016/j.idnow.2023.104650
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author Gallouche, Meghann
Landelle, Caroline
Larrat, Sylvie
Truffot, Aurélie
Bosson, Jean-Luc
Caporossi, Alban
author_facet Gallouche, Meghann
Landelle, Caroline
Larrat, Sylvie
Truffot, Aurélie
Bosson, Jean-Luc
Caporossi, Alban
author_sort Gallouche, Meghann
collection PubMed
description OBJECTIVES: Experience of Nextstrain [1], [2] and its approach adapted to the local context encouraged us to carry out real-time monitoring of COVID-19 nosocomial clusters in our establishment, the Grenoble Alpes University Hospital. PATIENTS AND METHODS, RESULTS: Through identification from electronic health records of nosocomial pathways and clusters and calculation of genetic distances from sequenced samples of COVID-19 patients, we were able to identify potential nosocomial clusters in very close to real time with a significant time saving compared to classical epidemiological surveillance, and to better understand and characterize nosocomial clusters. CONCLUSION: Through early detection and characterization of clusters, we may prevent infection of our patients by further implementing the appropriate measures.
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spelling pubmed-98696152023-01-23 Towards real-time monitoring of COVID-19 nosocomial clusters using SARS-CoV-2 genomes in a university hospital of the French Alps Gallouche, Meghann Landelle, Caroline Larrat, Sylvie Truffot, Aurélie Bosson, Jean-Luc Caporossi, Alban Infect Dis Now Short Communication OBJECTIVES: Experience of Nextstrain [1], [2] and its approach adapted to the local context encouraged us to carry out real-time monitoring of COVID-19 nosocomial clusters in our establishment, the Grenoble Alpes University Hospital. PATIENTS AND METHODS, RESULTS: Through identification from electronic health records of nosocomial pathways and clusters and calculation of genetic distances from sequenced samples of COVID-19 patients, we were able to identify potential nosocomial clusters in very close to real time with a significant time saving compared to classical epidemiological surveillance, and to better understand and characterize nosocomial clusters. CONCLUSION: Through early detection and characterization of clusters, we may prevent infection of our patients by further implementing the appropriate measures. Elsevier Masson SAS. 2023-04 2023-01-23 /pmc/articles/PMC9869615/ /pubmed/36702307 http://dx.doi.org/10.1016/j.idnow.2023.104650 Text en © 2023 Elsevier Masson SAS. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Short Communication
Gallouche, Meghann
Landelle, Caroline
Larrat, Sylvie
Truffot, Aurélie
Bosson, Jean-Luc
Caporossi, Alban
Towards real-time monitoring of COVID-19 nosocomial clusters using SARS-CoV-2 genomes in a university hospital of the French Alps
title Towards real-time monitoring of COVID-19 nosocomial clusters using SARS-CoV-2 genomes in a university hospital of the French Alps
title_full Towards real-time monitoring of COVID-19 nosocomial clusters using SARS-CoV-2 genomes in a university hospital of the French Alps
title_fullStr Towards real-time monitoring of COVID-19 nosocomial clusters using SARS-CoV-2 genomes in a university hospital of the French Alps
title_full_unstemmed Towards real-time monitoring of COVID-19 nosocomial clusters using SARS-CoV-2 genomes in a university hospital of the French Alps
title_short Towards real-time monitoring of COVID-19 nosocomial clusters using SARS-CoV-2 genomes in a university hospital of the French Alps
title_sort towards real-time monitoring of covid-19 nosocomial clusters using sars-cov-2 genomes in a university hospital of the french alps
topic Short Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9869615/
https://www.ncbi.nlm.nih.gov/pubmed/36702307
http://dx.doi.org/10.1016/j.idnow.2023.104650
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