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10.3390/v13040604 http://scihub22266oqcxt.onion/10.3390/v13040604 33916205!8065743!33916205     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33916205&cmd=llinks): Failed to open stream: HTTP request failed! 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Nosocomial Outbreak of SARS-CoV-2 in a "Non-COVID-19" Hospital Ward: Virus Genome Sequencing as a Key Tool to Understand Cryptic Transmission |pdf=|usr=}}{{33916205}} gab.com Text Nosocomial Outbreak of SARS-CoV-2 in a "Non-COVID-19" Hospital Ward: Virus Genome Sequencing as a Key Tool to Understand Cryptic Transmission JO: Viruses http://www.kidney.de/pget.php?&tw=1&pmid=33916205 #FOAvip Dissemination of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in healthcare institutions affects both patients and health-care workers (HCW), as well as the institutional capacity to provide essential health services. Here, we investigated an outbreak of SARS-CoV-2 in a "non-COVID-19" hospital ward unveiled by massive testing, which challenged the reconstruction of transmission chains. The contacts network during the 15-day period before the screening was investigated, and positive SARS-CoV-2 RNA samples were subjected to virus genome sequencing. Of the 245 tested individuals, 48 (21 patients and 27 HCWs) tested positive for SARS-CoV-2. HCWs were mostly asymptomatic, but the mortality among patients reached 57.1% (12/21). Phylogenetic reconstruction revealed that all cases were part of the same transmission chain. By combining contact tracing and genomic data, including analysis of emerging minor variants, we unveiled a scenario of silent SARS-CoV-2 dissemination, mostly driven by the close contact within the HCWs group and between HCWs and patients. This investigation triggered enhanced prevention and control measures, leading to more timely detection and containment of novel outbreaks. This study shows the benefit of combining genomic and epidemiological data for disclosing complex nosocomial outbreaks, and provides valuable data to prevent transmission of COVID-19 in healthcare facilities. Twit Text FOAVip Nosocomial Outbreak of SARS-CoV-2 in a "Non-COVID-19" Hospital Ward: Virus Genome Sequencing as a Key Tool to Understand Cryptic Transmission ????Viruses http://www.kidney.de/pget.php?&tw=1&pmid=33916205 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33916205 #FOAvip English Wikipedia <ref>{{Cite pmid|33916205}}</ref> Nosocomial Outbreak of SARS-CoV-2 in a "Non-COVID-19" Hospital Ward: Virus Genome Sequencing as a Key Tool to Understand Cryptic Transmission #MMPMID33916205 Borges V; Isidro J; Macedo F; Neves J; Silva L; Paiva M; Barata J; Catarino J; Ciobanu L; Duarte S; Vieira L; Guiomar R; Gomes JP Viruses 2021[Apr]; 13 (4): ä PMID33916205show ga Dissemination of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in healthcare institutions affects both patients and health-care workers (HCW), as well as the institutional capacity to provide essential health services. Here, we investigated an outbreak of SARS-CoV-2 in a "non-COVID-19" hospital ward unveiled by massive testing, which challenged the reconstruction of transmission chains. The contacts network during the 15-day period before the screening was investigated, and positive SARS-CoV-2 RNA samples were subjected to virus genome sequencing. Of the 245 tested individuals, 48 (21 patients and 27 HCWs) tested positive for SARS-CoV-2. HCWs were mostly asymptomatic, but the mortality among patients reached 57.1% (12/21). Phylogenetic reconstruction revealed that all cases were part of the same transmission chain. By combining contact tracing and genomic data, including analysis of emerging minor variants, we unveiled a scenario of silent SARS-CoV-2 dissemination, mostly driven by the close contact within the HCWs group and between HCWs and patients. This investigation triggered enhanced prevention and control measures, leading to more timely detection and containment of novel outbreaks. This study shows the benefit of combining genomic and epidemiological data for disclosing complex nosocomial outbreaks, and provides valuable data to prevent transmission of COVID-19 in healthcare facilities. |*Disease Outbreaks/prevention & control[MESH] |Adult[MESH] |Aged[MESH] |Aged, 80 and over[MESH] |COVID-19/epidemiology/prevention & control/*transmission/virology[MESH] |Contact Tracing[MESH] |Cross Infection/epidemiology/prevention & control/*transmission/virology[MESH] |Female[MESH] |Genetic Variation[MESH] |Genome, Viral/*genetics[MESH] |Health Personnel/statistics & numerical data[MESH] |Hospitals[MESH] |Humans[MESH] |Male[MESH] |Middle Aged[MESH] |Phylogeny[MESH] |Portugal/epidemiology[MESH] |RNA, Viral/genetics[MESH] |SARS-CoV-2/classification/*genetics/isolation & purification[MESH]Nosocomial Outbreak of SARS-CoV-2 in a "Non-COVID-19" Hospital Ward: V(epmc).pdf DeepDyve Pubget Overpricing