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10.1007/s12561-020-09277-0 http://scihub22266oqcxt.onion/10.1007/s12561-020-09277-0 C7113380!7113380!32292527     free     free     free Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Stat+Biosci 2021 ; 13 (1): 1-17 Nephropedia Template TP {{tp|p=32292527|t=2021. On a Statistical Transmission Model in Analysis of the Early Phase of COVID-19 Outbreak |pdf=|usr=}}{{32292527}} gab.com Text On a Statistical Transmission Model in Analysis of the Early Phase of COVID-19 Outbreak JO: Stat Biosci http://www.kidney.de/pget.php?&tw=1&pmid=32292527 #FOAvip Since December 2019, a disease caused by a novel strain of coronavirus (COVID-19) had infected many people and the cumulative confirmed cases have reached almost 180,000 as of 17, March 2020. The COVID-19 outbreak was believed to have emerged from a seafood market in Wuhan, a metropolis city of more than 11 million population in Hubei province, China. We introduced a statistical disease transmission model using case symptom onset data to estimate the transmissibility of the early-phase outbreak in China, and provided sensitivity analyses with various assumptions of disease natural history of the COVID-19. We fitted the transmission model to several publicly available sources of the outbreak data until 11, February 2020, and estimated lock down intervention efficacy of Wuhan city. The estimated \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$R_0$$\end{document}R0 was between 2.7 and 4.2 from plausible distribution assumptions of the incubation period and relative infectivity over the infectious period. 95% confidence interval of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$R_0$$\end{document}R0 were also reported. Potential issues such as data quality concerns and comparison of different modelling approaches were discussed.Electronic supplementary material: The online version of this article (10.1007/s12561-020-09277-0) contains supplementary material, which is available to authorized users. Twit Text FOAVip On a Statistical Transmission Model in Analysis of the Early Phase of COVID-19 Outbreak ????Stat Biosci http://www.kidney.de/pget.php?&tw=1&pmid=32292527 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32292527 #FOAvip English Wikipedia <ref>{{Cite pmid|32292527}}</ref> On a Statistical Transmission Model in Analysis of the Early Phase of COVID-19 Outbreak #MMPMID32292527 Zhu Y; Chen YQ Stat Biosci 2021[]; 13 (1): 1-17 PMID32292527show ga Since December 2019, a disease caused by a novel strain of coronavirus (COVID-19) had infected many people and the cumulative confirmed cases have reached almost 180,000 as of 17, March 2020. The COVID-19 outbreak was believed to have emerged from a seafood market in Wuhan, a metropolis city of more than 11 million population in Hubei province, China. We introduced a statistical disease transmission model using case symptom onset data to estimate the transmissibility of the early-phase outbreak in China, and provided sensitivity analyses with various assumptions of disease natural history of the COVID-19. We fitted the transmission model to several publicly available sources of the outbreak data until 11, February 2020, and estimated lock down intervention efficacy of Wuhan city. The estimated \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$R_0$$\end{document}R0 was between 2.7 and 4.2 from plausible distribution assumptions of the incubation period and relative infectivity over the infectious period. 95% confidence interval of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$R_0$$\end{document}R0 were also reported. Potential issues such as data quality concerns and comparison of different modelling approaches were discussed.Electronic supplementary material: The online version of this article (10.1007/s12561-020-09277-0) contains supplementary material, which is available to authorized users. äOn a Statistical Transmission Model in Analysis of the Early Phase of (epmc).pdf DeepDyve Pubget Overpricing