Univ. Grenoble Alpes, CNRS, UMR 5525, VetAgro Sup, Grenoble INP, CHU Grenoble Alpes, TIMC, 38000 Grenoble, France; Infection Prevention and Control Unit, Grenoble Alpes University Hospital, 38000 Grenoble, France.
Virology Unit, Grenoble Alpes University Hospital, 38000 Grenoble, France.
Infect Dis Now. 2023 Apr;53(3):104650. doi: 10.1016/j.idnow.2023.104650. Epub 2023 Jan 23.
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.
Through early detection and characterization of clusters, we may prevent infection of our patients by further implementing the appropriate measures.
Nextstrain 的经验[1,2]及其适应本地环境的方法促使我们对我们所在的机构——格勒诺布尔阿尔卑斯大学医院的 COVID-19 医院感染集群进行实时监测。
通过从电子病历中识别医院感染途径和集群，并计算 COVID-19 患者测序样本的遗传距离，我们能够非常接近实时地识别潜在的医院感染集群，与经典的流行病学监测相比，大大节省了时间，并且能够更好地了解和描述医院感染集群。
通过早期检测和描述集群，我们可以通过进一步实施适当的措施来防止我们的患者感染。
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