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10.7554/eLife.65453 http://scihub22266oqcxt.onion/10.7554/eLife.65453 33729154!8009659!33729154     free     free     free Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Elife 2021 ; 10 (ä): ä Nephropedia Template TP {{tp|p=33729154|t=2021. Genomic and healthcare dynamics of nosocomial SARS-CoV-2 transmission |pdf=|usr=}}{{33729154}} gab.com Text Genomic and healthcare dynamics of nosocomial SARS-CoV-2 transmission JO: Elife http://www.kidney.de/pget.php?&tw=1&pmid=33729154 #FOAvip 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. Twit Text FOAVip Genomic and healthcare dynamics of nosocomial SARS-CoV-2 transmission ????Elife http://www.kidney.de/pget.php?&tw=1&pmid=33729154 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33729154 #FOAvip English Wikipedia <ref>{{Cite pmid|33729154}}</ref> Genomic and healthcare dynamics of nosocomial SARS-CoV-2 transmission #MMPMID33729154 Ellingford JM; George R; McDermott JH; Ahmad S; Edgerley JJ; Gokhale D; Newman WG; Ball S; Machin N; Black GC Elife 2021[Mar]; 10 (ä): ä PMID33729154show ga 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. |Aged[MESH] |COVID-19/*transmission/virology[MESH] |Contact Tracing[MESH] |Cross Infection/*transmission/virology[MESH] |Female[MESH] |Health Personnel[MESH] |Humans[MESH] |Infectious Disease Transmission, Patient-to-Professional[MESH] |Infectious Disease Transmission, Professional-to-Patient[MESH] |Male[MESH] |SARS-CoV-2/*genetics/isolation & purification[MESH]Genomic and healthcare dynamics of nosocomial SARS-CoV-2 transmission (epmc).pdf DeepDyve Pubget Overpricing