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10.1371/journal.pbio.3000869 http://scihub22266oqcxt.onion/10.1371/journal.pbio.3000869 32822393!7467297!32822393     free     free     free Deprecated: Implicit conversion from float 225.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 225.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 225.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       PLoS+Biol 2020 ; 18 (8): e3000869 Nephropedia Template TP {{tp|p=32822393|t=2020. Real-time public health communication of local SARS-CoV-2 genomic epidemiology |pdf=|usr=}}{{32822393}} gab.com Text Real-time public health communication of local SARS-CoV-2 genomic epidemiology JO: PLoS Biol http://www.kidney.de/pget.php?&tw=1&pmid=32822393 #FOAvip Genomic epidemiology can provide a unique, real-time understanding of SARS-CoV-2 transmission patterns. Yet the potential for genomic analyses to guide local policy and community-based behavioral decisions is limited because they are often oriented towards specially trained scientists and conducted on a national or global scale. Here, we propose a new paradigm: Phylogenetic analyses performed on a local level (municipal, county, or state), with results communicated in a clear, timely, and actionable manner to strengthen public health responses. We believe that presenting results rapidly, and tailored to a non-expert audience, can serve as a template for effective public health response to COVID-19 and other emerging viral diseases. Twit Text FOAVip Real-time public health communication of local SARS-CoV-2 genomic epidemiology ????PLoS Biol http://www.kidney.de/pget.php?&tw=1&pmid=32822393 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32822393 #FOAvip English Wikipedia <ref>{{Cite pmid|32822393}}</ref> Real-time public health communication of local SARS-CoV-2 genomic epidemiology #MMPMID32822393 Kalinich CC; Jensen CG; Neugebauer P; Petrone ME; Pena-Hernandez M; Ott IM; Wyllie AL; Alpert T; Vogels CBF; Fauver JR; Grubaugh ND; Brito AF PLoS Biol 2020[Aug]; 18 (8): e3000869 PMID32822393show ga Genomic epidemiology can provide a unique, real-time understanding of SARS-CoV-2 transmission patterns. Yet the potential for genomic analyses to guide local policy and community-based behavioral decisions is limited because they are often oriented towards specially trained scientists and conducted on a national or global scale. Here, we propose a new paradigm: Phylogenetic analyses performed on a local level (municipal, county, or state), with results communicated in a clear, timely, and actionable manner to strengthen public health responses. We believe that presenting results rapidly, and tailored to a non-expert audience, can serve as a template for effective public health response to COVID-19 and other emerging viral diseases. |*Information Dissemination[MESH] |*Public Health[MESH] |Betacoronavirus/*genetics[MESH] |COVID-19[MESH] |Coronavirus Infections/*epidemiology[MESH] |Genomics[MESH] |Humans[MESH] |Pandemics[MESH] |Phylogeny[MESH] |Pneumonia, Viral/*epidemiology[MESH]Real-time public health communication of local SARS-CoV-2 genomic epid(epmc).pdf DeepDyve Pubget Overpricing