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10.1016/j.cell.2020.04.023 http://scihub22266oqcxt.onion/10.1016/j.cell.2020.04.023 32359424!7192124!32359424     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       Cell 2020 ; 181 (5): 997-1003.e9 Nephropedia Template TP {{tp|p=32359424|t=2020. Genomic Epidemiology of SARS-CoV-2 in Guangdong Province, China |pdf=|usr=}}{{32359424}} gab.com Text Genomic Epidemiology of SARS-CoV-2 in Guangdong Province, China JO: Cell http://www.kidney.de/pget.php?&tw=1&pmid=32359424 #FOAvip Coronavirus disease 2019 (COVID-19) is caused by SARS-CoV-2 infection and was first reported in central China in December 2019. Extensive molecular surveillance in Guangdong, China's most populous province, during early 2020 resulted in 1,388 reported RNA-positive cases from 1.6 million tests. In order to understand the molecular epidemiology and genetic diversity of SARS-CoV-2 in China, we generated 53 genomes from infected individuals in Guangdong using a combination of metagenomic sequencing and tiling amplicon approaches. Combined epidemiological and phylogenetic analyses indicate multiple independent introductions to Guangdong, although phylogenetic clustering is uncertain because of low virus genetic variation early in the pandemic. Our results illustrate how the timing, size, and duration of putative local transmission chains were constrained by national travel restrictions and by the province's large-scale intensive surveillance and intervention measures. Despite these successes, COVID-19 surveillance in Guangdong is still required, because the number of cases imported from other countries has increased. Twit Text FOAVip Genomic Epidemiology of SARS-CoV-2 in Guangdong Province, China ????Cell http://www.kidney.de/pget.php?&tw=1&pmid=32359424 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32359424 #FOAvip English Wikipedia <ref>{{Cite pmid|32359424}}</ref> Genomic Epidemiology of SARS-CoV-2 in Guangdong Province, China #MMPMID32359424 Lu J; du Plessis L; Liu Z; Hill V; Kang M; Lin H; Sun J; Francois S; Kraemer MUG; Faria NR; McCrone JT; Peng J; Xiong Q; Yuan R; Zeng L; Zhou P; Liang C; Yi L; Liu J; Xiao J; Hu J; Liu T; Ma W; Li W; Su J; Zheng H; Peng B; Fang S; Su W; Li K; Sun R; Bai R; Tang X; Liang M; Quick J; Song T; Rambaut A; Loman N; Raghwani J; Pybus OG; Ke C Cell 2020[May]; 181 (5): 997-1003.e9 PMID32359424show ga Coronavirus disease 2019 (COVID-19) is caused by SARS-CoV-2 infection and was first reported in central China in December 2019. Extensive molecular surveillance in Guangdong, China's most populous province, during early 2020 resulted in 1,388 reported RNA-positive cases from 1.6 million tests. In order to understand the molecular epidemiology and genetic diversity of SARS-CoV-2 in China, we generated 53 genomes from infected individuals in Guangdong using a combination of metagenomic sequencing and tiling amplicon approaches. Combined epidemiological and phylogenetic analyses indicate multiple independent introductions to Guangdong, although phylogenetic clustering is uncertain because of low virus genetic variation early in the pandemic. Our results illustrate how the timing, size, and duration of putative local transmission chains were constrained by national travel restrictions and by the province's large-scale intensive surveillance and intervention measures. Despite these successes, COVID-19 surveillance in Guangdong is still required, because the number of cases imported from other countries has increased. |Bayes Theorem[MESH] |Betacoronavirus/*genetics[MESH] |COVID-19[MESH] |China/epidemiology[MESH] |Coronavirus Infections/*epidemiology/virology[MESH] |Epidemiological Monitoring[MESH] |Humans[MESH] |Likelihood Functions[MESH] |Pandemics[MESH] |Pneumonia, Viral/*epidemiology/virology[MESH] |SARS-CoV-2[MESH]Genomic Epidemiology of SARS-CoV-2 in Guangdong Province, China (epmc).pdf DeepDyve Pubget Overpricing