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10.1007/s11071-020-05902-1 http://scihub22266oqcxt.onion/10.1007/s11071-020-05902-1 32904911!7459158!32904911     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=32904911&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215       Nonlinear+Dyn 2020 ; 101 (3): 1583-1619 Nephropedia Template TP {{tp|p=32904911|t=2020. Understanding COVID-19 nonlinear multi-scale dynamic spreading in Italy |pdf=|usr=}}{{32904911}} gab.com Text Understanding COVID-19 nonlinear multi-scale dynamic spreading in Italy JO: Nonlinear Dyn http://www.kidney.de/pget.php?&tw=1&pmid=32904911 #FOAvip The outbreak of COVID-19 in Italy took place in Lombardia, a densely populated and highly industrialized northern region, and spread across the northern and central part of Italy according to quite different temporal and spatial patterns. In this work, a multi-scale territorial analysis of the pandemic is carried out using various models and data-driven approaches. Specifically, a logistic regression is employed to capture the evolution of the total positive cases in each region and throughout Italy, and an enhanced version of a SIR-type model is tuned to fit the different territorial epidemic dynamics via a differential evolution algorithm. Hierarchical clustering and multidimensional analysis are further exploited to reveal the similarities/dissimilarities of the remarkably different geographical epidemic developments. The combination of parametric identifications and multi-scale data-driven analyses paves the way toward a closer understanding of the nonlinear, spatially nonuniform epidemic spreading in Italy. Twit Text FOAVip Understanding COVID-19 nonlinear multi-scale dynamic spreading in Italy ????Nonlinear Dyn http://www.kidney.de/pget.php?&tw=1&pmid=32904911 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32904911 #FOAvip English Wikipedia <ref>{{Cite pmid|32904911}}</ref> Understanding COVID-19 nonlinear multi-scale dynamic spreading in Italy #MMPMID32904911 Quaranta G; Formica G; Machado JT; Lacarbonara W; Masri SF Nonlinear Dyn 2020[]; 101 (3): 1583-1619 PMID32904911show ga The outbreak of COVID-19 in Italy took place in Lombardia, a densely populated and highly industrialized northern region, and spread across the northern and central part of Italy according to quite different temporal and spatial patterns. In this work, a multi-scale territorial analysis of the pandemic is carried out using various models and data-driven approaches. Specifically, a logistic regression is employed to capture the evolution of the total positive cases in each region and throughout Italy, and an enhanced version of a SIR-type model is tuned to fit the different territorial epidemic dynamics via a differential evolution algorithm. Hierarchical clustering and multidimensional analysis are further exploited to reveal the similarities/dissimilarities of the remarkably different geographical epidemic developments. The combination of parametric identifications and multi-scale data-driven analyses paves the way toward a closer understanding of the nonlinear, spatially nonuniform epidemic spreading in Italy. ?Understanding COVID-19 nonlinear multi-scale dynamic spreading in Ital(epmc).pdf DeepDyve Pubget Overpricing