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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Detalles Bibliográficos
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
Descripción
Sumario: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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