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10.1126/science.abb3221 http://scihub22266oqcxt.onion/10.1126/science.abb3221 32179701!7164387!32179701     free     free     free Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 253.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Science 2020 ; 368 (6490): 489-493 Nephropedia Template TP {{tp|p=32179701|t=2020. Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (SARS-CoV-2) |pdf=|usr=}}{{32179701}} gab.com Text Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (SARS-CoV-2) JO: Science http://www.kidney.de/pget.php?&tw=1&pmid=32179701 #FOAvip Estimation of the prevalence and contagiousness of undocumented novel coronavirus [severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2)] infections is critical for understanding the overall prevalence and pandemic potential of this disease. Here, we use observations of reported infection within China, in conjunction with mobility data, a networked dynamic metapopulation model, and Bayesian inference, to infer critical epidemiological characteristics associated with SARS-CoV-2, including the fraction of undocumented infections and their contagiousness. We estimate that 86% of all infections were undocumented [95% credible interval (CI): 82-90%] before the 23 January 2020 travel restrictions. The transmission rate of undocumented infections per person was 55% the transmission rate of documented infections (95% CI: 46-62%), yet, because of their greater numbers, undocumented infections were the source of 79% of the documented cases. These findings explain the rapid geographic spread of SARS-CoV-2 and indicate that containment of this virus will be particularly challenging. Twit Text FOAVip Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (SARS-CoV-2) ????Science http://www.kidney.de/pget.php?&tw=1&pmid=32179701 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32179701 #FOAvip English Wikipedia <ref>{{Cite pmid|32179701}}</ref> Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (SARS-CoV-2) #MMPMID32179701 Li R; Pei S; Chen B; Song Y; Zhang T; Yang W; Shaman J Science 2020[May]; 368 (6490): 489-493 PMID32179701show ga Estimation of the prevalence and contagiousness of undocumented novel coronavirus [severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2)] infections is critical for understanding the overall prevalence and pandemic potential of this disease. Here, we use observations of reported infection within China, in conjunction with mobility data, a networked dynamic metapopulation model, and Bayesian inference, to infer critical epidemiological characteristics associated with SARS-CoV-2, including the fraction of undocumented infections and their contagiousness. We estimate that 86% of all infections were undocumented [95% credible interval (CI): 82-90%] before the 23 January 2020 travel restrictions. The transmission rate of undocumented infections per person was 55% the transmission rate of documented infections (95% CI: 46-62%), yet, because of their greater numbers, undocumented infections were the source of 79% of the documented cases. These findings explain the rapid geographic spread of SARS-CoV-2 and indicate that containment of this virus will be particularly challenging. |*Models, Theoretical[MESH] |Bayes Theorem[MESH] |Betacoronavirus[MESH] |COVID-19[MESH] |China[MESH] |Coronavirus Infections/*diagnosis/*transmission[MESH] |Epidemiological Monitoring[MESH] |Humans[MESH] |Missed Diagnosis/*statistics & numerical data[MESH] |Pandemics[MESH] |Pneumonia, Viral/*diagnosis/*transmission[MESH] |Prevalence[MESH] |SARS-CoV-2[MESH]Substantial undocumented infection facilitates the rapid dissemination(epmc).pdf DeepDyve Pubget Overpricing