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10.1007/s11071-020-05680-w http://scihub22266oqcxt.onion/10.1007/s11071-020-05680-w 32427206!7229440!32427206     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Nonlinear+Dyn 2020 ; 100 (3): 2953-2972 Nephropedia Template TP {{tp|p=32427206|t=2020. Rare and extreme events: the case of COVID-19 pandemic |pdf=|usr=}}{{32427206}} gab.com Text Rare and extreme events: the case of COVID-19 pandemic JO: Nonlinear Dyn http://www.kidney.de/pget.php?&tw=1&pmid=32427206 #FOAvip Complex systems have characteristics that give rise to the emergence of rare and extreme events. This paper addresses an example of such type of crisis, namely the spread of the new Coronavirus disease 2019 (COVID-19). The study deals with the statistical comparison and visualization of country-based real-data for the period December 31, 2019, up to April 12, 2020, and does not intend to address the medical treatment of the disease. Two distinct approaches are considered, the description of the number of infected people across time by means of heuristic models fitting the real-world data, and the comparison of countries based on hierarchical clustering and multidimensional scaling. The computational and mathematical modeling lead to the emergence of patterns, highlighting similarities and differences between the countries, pointing toward the main characteristics of the complex dynamics. Twit Text FOAVip Rare and extreme events: the case of COVID-19 pandemic ????Nonlinear Dyn http://www.kidney.de/pget.php?&tw=1&pmid=32427206 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32427206 #FOAvip English Wikipedia <ref>{{Cite pmid|32427206}}</ref> Rare and extreme events: the case of COVID-19 pandemic #MMPMID32427206 Machado JAT; Lopes AM Nonlinear Dyn 2020[]; 100 (3): 2953-2972 PMID32427206show ga Complex systems have characteristics that give rise to the emergence of rare and extreme events. This paper addresses an example of such type of crisis, namely the spread of the new Coronavirus disease 2019 (COVID-19). The study deals with the statistical comparison and visualization of country-based real-data for the period December 31, 2019, up to April 12, 2020, and does not intend to address the medical treatment of the disease. Two distinct approaches are considered, the description of the number of infected people across time by means of heuristic models fitting the real-world data, and the comparison of countries based on hierarchical clustering and multidimensional scaling. The computational and mathematical modeling lead to the emergence of patterns, highlighting similarities and differences between the countries, pointing toward the main characteristics of the complex dynamics. äRare and extreme events: the case of COVID-19 pandemic (epmc).pdf DeepDyve Pubget Overpricing