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10.1016/j.virusres.2020.198098 http://scihub22266oqcxt.onion/10.1016/j.virusres.2020.198098 32687861!7366979!32687861     free     free     free Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Virus+Res 2020 ; 287 (ä): 198098 Nephropedia Template TP {{tp|p=32687861|t=2020. Phylogenetic and phylodynamic analyses of SARS-CoV-2 |pdf=|usr=}}{{32687861}} gab.com Text Phylogenetic and phylodynamic analyses of SARS-CoV-2 JO: Virus Res http://www.kidney.de/pget.php?&tw=1&pmid=32687861 #FOAvip To investigate the evolutionary and epidemiological dynamics of the current COVID-19 outbreak, a total of 112 genomes of SARS-CoV-2 strains sampled from China and 12 other countries with sampling dates between 24 December 2019 and 9 February 2020 were analyzed. We performed phylogenetic, split network, likelihood-mapping, model comparison, and phylodynamic analyses of the genomes. Based on Bayesian time-scaled phylogenetic analysis with the best-fitting combination models, we estimated the time to the most recent common ancestor (TMRCA) and evolutionary rate of SARS-CoV-2 to be 12 November 2019 (95 % BCI: 11 October 2019 and 09 December 2019) and 9.90 x 10(-4) substitutions per site per year (95 % BCI: 6.29 x 10(-4)-1.35 x 10(-3)), respectively. Notably, the very low R(e) estimates of SARS-CoV-2 during the recent sampling period may be the result of the successful control of the pandemic in China due to extreme societal lockdown efforts. Our results emphasize the importance of using phylodynamic analyses to provide insights into the roles of various interventions to limit the spread of SARS-CoV-2 in China and beyond. Twit Text FOAVip Phylogenetic and phylodynamic analyses of SARS-CoV-2 ????Virus Res http://www.kidney.de/pget.php?&tw=1&pmid=32687861 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32687861 #FOAvip English Wikipedia <ref>{{Cite pmid|32687861}}</ref> Phylogenetic and phylodynamic analyses of SARS-CoV-2 #MMPMID32687861 Nie Q; Li X; Chen W; Liu D; Chen Y; Li H; Li D; Tian M; Tan W; Zai J Virus Res 2020[Oct]; 287 (ä): 198098 PMID32687861show ga To investigate the evolutionary and epidemiological dynamics of the current COVID-19 outbreak, a total of 112 genomes of SARS-CoV-2 strains sampled from China and 12 other countries with sampling dates between 24 December 2019 and 9 February 2020 were analyzed. We performed phylogenetic, split network, likelihood-mapping, model comparison, and phylodynamic analyses of the genomes. Based on Bayesian time-scaled phylogenetic analysis with the best-fitting combination models, we estimated the time to the most recent common ancestor (TMRCA) and evolutionary rate of SARS-CoV-2 to be 12 November 2019 (95 % BCI: 11 October 2019 and 09 December 2019) and 9.90 x 10(-4) substitutions per site per year (95 % BCI: 6.29 x 10(-4)-1.35 x 10(-3)), respectively. Notably, the very low R(e) estimates of SARS-CoV-2 during the recent sampling period may be the result of the successful control of the pandemic in China due to extreme societal lockdown efforts. Our results emphasize the importance of using phylodynamic analyses to provide insights into the roles of various interventions to limit the spread of SARS-CoV-2 in China and beyond. |*Genome, Viral[MESH] |*Genomics/methods[MESH] |*Phylogeny[MESH] |Betacoronavirus/*classification/*genetics[MESH] |COVID-19[MESH] |China/epidemiology[MESH] |Coronavirus Infections/*epidemiology/*virology[MESH] |Disease Outbreaks[MESH] |Evolution, Molecular[MESH] |Humans[MESH] |Pandemics[MESH] |Pneumonia, Viral/*epidemiology/*virology[MESH]Phylogenetic and phylodynamic analyses of SARS-CoV-2 (epmc).pdf DeepDyve Pubget Overpricing