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

被引：0
|
作者：
Gallouche, Meghann [1 ,2 ]
Landelle, Caroline [1 ,2 ]
Larrat, Sylvie [3 ]
Truffot, Aurelie [3 ,4 ]
Bosson, Jean-Luc [1 ,5 ]
Caporossi, Alban [1 ,5 ,6 ]
机构：
[1] Univ Grenoble Alpes, CNRS, Grenoble INP, UMR 5525,VetAgro Sup,TIMC, F-38000 Grenoble, France
[2] Grenoble Alpes Univ Hosp, Infect Prevent & Control Unit, F-38000 Grenoble, France
[3] Grenoble Alpes Univ Hosp, Virol Unit, F-38000 Grenoble, France
[4] Grenoble Alpes Univ, CNRS, CEA, IBS, F-38000 Grenoble, France
[5] Grenoble Alpes Univ Hosp, Methodol & Med Informat Unit, Publ Hlth, F-38000 Grenoble, France
[6] CHU Grenoble Alpes, Serv Methodol & Informat Med MISIT, St Publ, Blvd Chantourne, F-38700 La Tronche, France
来源：
INFECTIOUS DISEASES NOW | 2023年 / 53卷 / 03期
关键词：
Monitoring; COVID-19; Nosocomial; Clusters; Phylogenetics;
D O I：
10.1016/j.idnow.2023.104650
中图分类号：
R51 [传染病];
学科分类号：
100401 ;
摘要：
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 path-ways 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 nosoco-mial 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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页数：3
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