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

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...

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Autores principales: Ellingford, Jamie M, George, Ryan, McDermott, John H, Ahmad, Shazaad, Edgerley, Jonathan J, Gokhale, David, Newman, William G, Ball, Stephen, Machin, Nicholas, Black, Graeme CM
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8009659/
https://www.ncbi.nlm.nih.gov/pubmed/33729154
http://dx.doi.org/10.7554/eLife.65453
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author Ellingford, Jamie M
George, Ryan
McDermott, John H
Ahmad, Shazaad
Edgerley, Jonathan J
Gokhale, David
Newman, William G
Ball, Stephen
Machin, Nicholas
Black, Graeme CM
author_facet Ellingford, Jamie M
George, Ryan
McDermott, John H
Ahmad, Shazaad
Edgerley, Jonathan J
Gokhale, David
Newman, William G
Ball, Stephen
Machin, Nicholas
Black, Graeme CM
author_sort Ellingford, Jamie M
collection PubMed
description 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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spelling pubmed-80096592021-03-31 Genomic and healthcare dynamics of nosocomial SARS-CoV-2 transmission Ellingford, Jamie M George, Ryan McDermott, John H Ahmad, Shazaad Edgerley, Jonathan J Gokhale, David Newman, William G Ball, Stephen Machin, Nicholas Black, Graeme CM eLife Genetics and Genomics 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. eLife Sciences Publications, Ltd 2021-03-17 /pmc/articles/PMC8009659/ /pubmed/33729154 http://dx.doi.org/10.7554/eLife.65453 Text en © 2021, Ellingford et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Genetics and Genomics
Ellingford, Jamie M
George, Ryan
McDermott, John H
Ahmad, Shazaad
Edgerley, Jonathan J
Gokhale, David
Newman, William G
Ball, Stephen
Machin, Nicholas
Black, Graeme CM
Genomic and healthcare dynamics of nosocomial SARS-CoV-2 transmission
title Genomic and healthcare dynamics of nosocomial SARS-CoV-2 transmission
title_full Genomic and healthcare dynamics of nosocomial SARS-CoV-2 transmission
title_fullStr Genomic and healthcare dynamics of nosocomial SARS-CoV-2 transmission
title_full_unstemmed Genomic and healthcare dynamics of nosocomial SARS-CoV-2 transmission
title_short Genomic and healthcare dynamics of nosocomial SARS-CoV-2 transmission
title_sort genomic and healthcare dynamics of nosocomial sars-cov-2 transmission
topic Genetics and Genomics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8009659/
https://www.ncbi.nlm.nih.gov/pubmed/33729154
http://dx.doi.org/10.7554/eLife.65453
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