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10.21203/rs.3.rs-32486/v1 http://scihub22266oqcxt.onion/10.21203/rs.3.rs-32486/v1 32702717!7336698!32702717     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Res+Sq 2020 ; ä (ä): ä Nephropedia Template TP {{tp|p=32702717|t=2020. Evolution of effective serial interval of SARS-CoV-2 by non-pharmaceutical interventions |pdf=|usr=}}{{32702717}} gab.com Text Evolution of effective serial interval of SARS-CoV-2 by non-pharmaceutical interventions JO: Res Sq http://www.kidney.de/pget.php?&tw=1&pmid=32702717 #FOAvip Studies of novel coronavirus disease (COVID-19) have reported varying estimates of epidemiological parameters such as serial intervals and reproduction numbers. By compiling a unique line-list database of transmission pairs in mainland China, we demonstrated that serial intervals of COVID-19 have shortened substantially from a mean of 7.8 days to 2.6 days within a month. This change is driven by enhanced non-pharmaceutical interventions, in particular case isolation. We also demonstrated that using real-time estimation of serial intervals allowing for variation over time would provide more accurate estimates of reproduction numbers, than by using conventional definition of fixed serial interval distributions. These findings are essential to improve the assessment of transmission dynamics, forecasting future incidence, and estimating the impact of control measures. Twit Text FOAVip Evolution of effective serial interval of SARS-CoV-2 by non-pharmaceutical interventions ????Res Sq http://www.kidney.de/pget.php?&tw=1&pmid=32702717 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32702717 #FOAvip English Wikipedia <ref>{{Cite pmid|32702717}}</ref> Evolution of effective serial interval of SARS-CoV-2 by non-pharmaceutical interventions #MMPMID32702717 Ali ST; Wang L; Lau EHY; Xu XK; Du Z; Wu Y; Leung GM; Cowling BJ Res Sq 2020[Jun]; ä (ä): ä PMID32702717show ga Studies of novel coronavirus disease (COVID-19) have reported varying estimates of epidemiological parameters such as serial intervals and reproduction numbers. By compiling a unique line-list database of transmission pairs in mainland China, we demonstrated that serial intervals of COVID-19 have shortened substantially from a mean of 7.8 days to 2.6 days within a month. This change is driven by enhanced non-pharmaceutical interventions, in particular case isolation. We also demonstrated that using real-time estimation of serial intervals allowing for variation over time would provide more accurate estimates of reproduction numbers, than by using conventional definition of fixed serial interval distributions. These findings are essential to improve the assessment of transmission dynamics, forecasting future incidence, and estimating the impact of control measures. äEvolution of effective serial interval of SARS-CoV-2 by non-pharmaceut(epmc).pdf DeepDyve Pubget Overpricing