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10.1016/j.chaos.2020.110113 http://scihub22266oqcxt.onion/10.1016/j.chaos.2020.110113 32834630!7374175!32834630     free     free     free       Chaos+Solitons+Fractals 2020 ; 140 (ä): 110113 Nephropedia Template TP {{tp|p=32834630|t=2020. A stretched logistic equation for pandemic spreading |pdf=|usr=}}{{32834630}} gab.com Text A stretched logistic equation for pandemic spreading JO: Chaos Solitons Fractals http://www.kidney.de/pget.php?&tw=1&pmid=32834630 #FOAvip In this brief work we present a novel approach to the logistic dynamics of populations and epidemic spreading that can take into account of the complex nature of such a process in several real situations, where due to different agents the dynamics is no longer characterized by a single characteristic timescale, but conversely by a distribution of time scales, rendered via a time-dependent growth rate. In detail, a differential equation containing a power-law time dependent growth rate is proposed, whose solution, named Stretched Logistic Function, provides a modified version of the usual logistic function. The model equation is inspired by and applied to the recent spreading on COVID-19 disease in Italy, showing how the real dynamics of infection spreading is characterized by a time dependent dynamics. A speculative discussion of the Stretched Logistic Function in relation to diffusion processes is attempted. Twit Text FOAVip A stretched logistic equation for pandemic spreading ????Chaos Solitons Fractals http://www.kidney.de/pget.php?&tw=1&pmid=32834630 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32834630 #FOAvip English Wikipedia <ref>{{Cite pmid|32834630}}</ref> A stretched logistic equation for pandemic spreading #MMPMID32834630 Consolini G; Materassi M Chaos Solitons Fractals 2020[Nov]; 140 (ä): 110113 PMID32834630show ga In this brief work we present a novel approach to the logistic dynamics of populations and epidemic spreading that can take into account of the complex nature of such a process in several real situations, where due to different agents the dynamics is no longer characterized by a single characteristic timescale, but conversely by a distribution of time scales, rendered via a time-dependent growth rate. In detail, a differential equation containing a power-law time dependent growth rate is proposed, whose solution, named Stretched Logistic Function, provides a modified version of the usual logistic function. The model equation is inspired by and applied to the recent spreading on COVID-19 disease in Italy, showing how the real dynamics of infection spreading is characterized by a time dependent dynamics. A speculative discussion of the Stretched Logistic Function in relation to diffusion processes is attempted. äA stretched logistic equation for pandemic spreading (epmc).pdf DeepDyve Pubget Overpricing