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10.1016/j.tpb.2020.12.003 http://scihub22266oqcxt.onion/10.1016/j.tpb.2020.12.003 33417839!7785280!33417839     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 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       Theor+Popul+Biol 2021 ; 137 (ä): 2-9 Nephropedia Template TP {{tp|p=33417839|t=2021. What the reproductive number R(0) can and cannot tell us about COVID-19 dynamics |pdf=|usr=}}{{33417839}} gab.com Text What the reproductive number R(0) can and cannot tell us about COVID-19 dynamics JO: Theor Popul Biol http://www.kidney.de/pget.php?&tw=1&pmid=33417839 #FOAvip The reproductive number R (or R(0), the initial reproductive number in an immune-naive population) has long been successfully used to predict the likelihood of pathogen invasion, to gauge the potential severity of an epidemic, and to set policy around interventions. However, often ignored complexities have generated confusion around use of the metric. This is particularly apparent with the emergent pandemic virus SARS-CoV-2, the causative agent of COVID-19. We address some misconceptions about the predictive ability of the reproductive number, focusing on how it changes over time, varies over space, and relates to epidemic size by referencing the mathematical definition of R and examples from the current pandemic. We hope that a better appreciation of the uses, nuances, and limitations of R and R(0) facilitates a better understanding of epidemic spread, epidemic severity, and the effects of interventions in the context of SARS-CoV-2. Twit Text FOAVip What the reproductive number R(0) can and cannot tell us about COVID-19 dynamics ????Theor Popul Biol http://www.kidney.de/pget.php?&tw=1&pmid=33417839 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33417839 #FOAvip English Wikipedia <ref>{{Cite pmid|33417839}}</ref> What the reproductive number R(0) can and cannot tell us about COVID-19 dynamics #MMPMID33417839 Shaw CL; Kennedy DA Theor Popul Biol 2021[Feb]; 137 (ä): 2-9 PMID33417839show ga The reproductive number R (or R(0), the initial reproductive number in an immune-naive population) has long been successfully used to predict the likelihood of pathogen invasion, to gauge the potential severity of an epidemic, and to set policy around interventions. However, often ignored complexities have generated confusion around use of the metric. This is particularly apparent with the emergent pandemic virus SARS-CoV-2, the causative agent of COVID-19. We address some misconceptions about the predictive ability of the reproductive number, focusing on how it changes over time, varies over space, and relates to epidemic size by referencing the mathematical definition of R and examples from the current pandemic. We hope that a better appreciation of the uses, nuances, and limitations of R and R(0) facilitates a better understanding of epidemic spread, epidemic severity, and the effects of interventions in the context of SARS-CoV-2. |*Basic Reproduction Number/statistics & numerical data[MESH] |*COVID-19/epidemiology/transmission[MESH] |Forecasting[MESH] |Humans[MESH] |Models, Statistical[MESH] |Pandemics[MESH] |Population Health[MESH] |SARS-CoV-2/isolation & purification[MESH]What the reproductive number R(0) can and cannot tell us about COVID-1(epmc).pdf DeepDyve Pubget Overpricing