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10.1016/j.physa.2020.125092 http://scihub22266oqcxt.onion/10.1016/j.physa.2020.125092 32843818!7440039!32843818     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       Physica+A 2020 ; 559 (ä): 125092 Nephropedia Template TP {{tp|p=32843818|t=2020. Diffusive process under Lifshitz scaling and pandemic scenarios |pdf=|usr=}}{{32843818}} gab.com Text Diffusive process under Lifshitz scaling and pandemic scenarios JO: Physica A http://www.kidney.de/pget.php?&tw=1&pmid=32843818 #FOAvip We here propose to model active and cumulative cases data from COVID-19 by a continuous effective model based on a modified diffusion equation under Lifshitz scaling with a dynamic diffusion coefficient. The proposed model is rich enough to capture different aspects of a complex virus diffusion as humanity has been recently facing. The model being continuous it is bound to be solved analytically and/or numerically. So, we investigate two possible models where the diffusion coefficient associated with possible types of contamination are captured by some specific profiles. The active cases curves here derived were able to successfully describe the pandemic behavior of Germany and Spain. Moreover, we also predict some scenarios for the evolution of COVID-19 in Brazil. Furthermore, we depicted the cumulative cases curves of COVID-19, reproducing the spreading of the pandemic between the cities of Sao Paulo and Sao Jose dos Campos, Brazil. The scenarios also unveil how the lockdown measures can flatten the contamination curves. We can find the best profile of the diffusion coefficient that better fit the real data of pandemic. Twit Text FOAVip Diffusive process under Lifshitz scaling and pandemic scenarios ????Physica A http://www.kidney.de/pget.php?&tw=1&pmid=32843818 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32843818 #FOAvip English Wikipedia <ref>{{Cite pmid|32843818}}</ref> Diffusive process under Lifshitz scaling and pandemic scenarios #MMPMID32843818 Anacleto MA; Brito FA; de Queiroz AR; Passos E; Santos JRL Physica A 2020[Dec]; 559 (ä): 125092 PMID32843818show ga We here propose to model active and cumulative cases data from COVID-19 by a continuous effective model based on a modified diffusion equation under Lifshitz scaling with a dynamic diffusion coefficient. The proposed model is rich enough to capture different aspects of a complex virus diffusion as humanity has been recently facing. The model being continuous it is bound to be solved analytically and/or numerically. So, we investigate two possible models where the diffusion coefficient associated with possible types of contamination are captured by some specific profiles. The active cases curves here derived were able to successfully describe the pandemic behavior of Germany and Spain. Moreover, we also predict some scenarios for the evolution of COVID-19 in Brazil. Furthermore, we depicted the cumulative cases curves of COVID-19, reproducing the spreading of the pandemic between the cities of Sao Paulo and Sao Jose dos Campos, Brazil. The scenarios also unveil how the lockdown measures can flatten the contamination curves. We can find the best profile of the diffusion coefficient that better fit the real data of pandemic. äDiffusive process under Lifshitz scaling and pandemic scenarios (epmc).pdf DeepDyve Pubget Overpricing