Article ; Online: Genomic and healthcare dynamics of nosocomial SARS-CoV-2 transmission.
2021 Volume 10
Abstract: ... transmission in healthcare settings is of high importance. We sequenced SARS-CoV-2 genomes for patients and ... of viral genome data to understand spatial and temporal dynamics of SARS-CoV-2 transmission. We identified eight ... Understanding the effectiveness of infection control methods in reducing and preventing SARS-CoV-2 ...
Abstract | 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. |
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MeSH term(s) | Aged ; COVID-19/transmission ; COVID-19/virology ; Contact Tracing ; Cross Infection/transmission ; Cross Infection/virology ; Female ; Health Personnel ; Humans ; Infectious Disease Transmission, Patient-to-Professional ; Infectious Disease Transmission, Professional-to-Patient ; Male ; SARS-CoV-2/genetics ; SARS-CoV-2/isolation & purification ; Whole Genome Sequencing |
Language | English |
Publishing date | 2021-03-17 |
Publishing country | England |
Document type | Journal Article ; Research Support, Non-U.S. Gov't |
ZDB-ID | 2687154-3 |
ISSN | 2050-084X ; 2050-084X |
ISSN (online) | 2050-084X |
ISSN | 2050-084X |
DOI | 10.7554/eLife.65453 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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