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Genomic and healthcare dynamics of nosocomial SARS-CoV-2 transmission

机译:医院SARS-COV-2变速器的基因组和医疗保健动力学

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摘要

Understanding the effectiveness of infection control methods in reducing and preventing SARS-CoV-2 transmission in healthcare settings is of high importance. We sequenced SARS-CoV-2 genomes for patients and healthcare workers (HCWs) across multiple geographically distinct UK hospitals, obtaining 173 high-quality SARS-CoV-2 genomes. We integrated patient movement and staff location data into the analysis of viral genome data to understand spatial and temporal dynamics of SARS-CoV-2 transmission. We identified eight patient contact clusters (PCC) with significantly increased similarity in genomic variants compared to non-clustered samples. Incorporation of HCW location further increased the number of individuals within PCCs and identified additional links in SARS-CoV-2 transmission pathways. Patients within PCCs carried viruses more genetically identical to HCWs in the same ward location. SARS-CoV-2 genome sequencing integrated with patient and HCW movement data increases identification of outbreak clusters. This dynamic approach can support infection control management strategies within the healthcare setting.
机译:了解在医疗保健环境中减少和预防SARS-COV-2传输的感染控制方法的有效性高。我们在多个地理上独特的英国医院患者和医疗工作者(HCW)的SARS-COV-2基因组进行测序,获得173个高质量的SARS-COV-2基因组。我们将患者运动和人员定位数据综合到病毒基因组数据的分析中,了解SARS-COV-2传输的空间和时间动态。与非聚类样品相比,我们确定了八个患者接触簇(PCC),在基因组变体中显着增加了相似性。结合HCW位置进一步增加了PCCS中的个体的数量,并在SARS-COV-2传输路径中确定了附加链接。 PCCS内的患者在同一病房位置的HCW中携带更遗传的病毒。 SARS-COV-2基因组测序与患者和HCW运动数据集成,增加了爆发簇的识别。这种动态方法可以支持医疗保健环境中的感染控制管理策略。

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