Towards real-time monitoring of COVID-19 nosocomial clusters using SARS-CoV-2 genomes in a university hospital of the French Alps.
COVID-19
Clusters
Monitoring
Nosocomial
Phylogenetics
Journal
Infectious diseases now
ISSN: 2666-9919
Titre abrégé: Infect Dis Now
Pays: France
ID NLM: 101775152
Informations de publication
Date de publication:
Apr 2023
Apr 2023
Historique:
received:
25
11
2022
revised:
04
01
2023
accepted:
16
01
2023
medline:
8
5
2023
pubmed:
27
1
2023
entrez:
26
1
2023
Statut:
ppublish
Résumé
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. 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. Through early detection and characterization of clusters, we may prevent infection of our patients by further implementing the appropriate measures.
Identifiants
pubmed: 36702307
pii: S2666-9919(23)00012-X
doi: 10.1016/j.idnow.2023.104650
pmc: PMC9869615
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
104650Informations de copyright
Copyright © 2023 Elsevier Masson SAS. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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