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10.3390/ijerph17186525 http://scihub22266oqcxt.onion/10.3390/ijerph17186525 32911647!7558066!32911647     free     free     free Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Int+J+Environ+Res+Public+Health 2020 ; 17 (18): ä Nephropedia Template TP {{tp|p=32911647|t=2020. A Universal Physics-Based Model Describing COVID-19 Dynamics in Europe |pdf=|usr=}}{{32911647}} gab.com Text A Universal Physics-Based Model Describing COVID-19 Dynamics in Europe JO: Int J Environ Res Public Health http://www.kidney.de/pget.php?&tw=1&pmid=32911647 #FOAvip The self-organizing mechanism is a universal approach that is widely followed in nature. In this work, a novel self-organizing model describing diffusion over a lattice is introduced. Simulation results for the model's active lattice sites demonstrate an evolution curve that is very close to those describing the evolution of infected European populations by COVID-19. The model was further examined against real data regarding the COVID-19 epidemic for seven European countries (with a total population of 290 million) during the periods in which social distancing measures were imposed, namely Italy and Spain, which had an enormous spread of the disease; the successful case of Greece; and four central European countries: France, Belgium, Germany and the Netherlands. The value of the proposed model lies in its simplicity and in the fact that it is based on a universal natural mechanism, which through the presentation of an equivalent dynamical system apparently documents and provides a better understanding of the dynamical process behind viral epidemic spreads in general-even pandemics, such as in the case of COVID-19-further allowing us to come closer to controlling such situations. Finally, this model allowed the study of dynamical characteristics such as the memory effect, through the autocorrelation function, in the studied epidemiological dynamical systems. Twit Text FOAVip A Universal Physics-Based Model Describing COVID-19 Dynamics in Europe ????Int J Environ Res Public Health http://www.kidney.de/pget.php?&tw=1&pmid=32911647 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32911647 #FOAvip English Wikipedia <ref>{{Cite pmid|32911647}}</ref> A Universal Physics-Based Model Describing COVID-19 Dynamics in Europe #MMPMID32911647 Contoyiannis Y; Stavrinides SG; P Hanias M; Kampitakis M; Papadopoulos P; Picos R; M Potirakis S Int J Environ Res Public Health 2020[Sep]; 17 (18): ä PMID32911647show ga The self-organizing mechanism is a universal approach that is widely followed in nature. In this work, a novel self-organizing model describing diffusion over a lattice is introduced. Simulation results for the model's active lattice sites demonstrate an evolution curve that is very close to those describing the evolution of infected European populations by COVID-19. The model was further examined against real data regarding the COVID-19 epidemic for seven European countries (with a total population of 290 million) during the periods in which social distancing measures were imposed, namely Italy and Spain, which had an enormous spread of the disease; the successful case of Greece; and four central European countries: France, Belgium, Germany and the Netherlands. The value of the proposed model lies in its simplicity and in the fact that it is based on a universal natural mechanism, which through the presentation of an equivalent dynamical system apparently documents and provides a better understanding of the dynamical process behind viral epidemic spreads in general-even pandemics, such as in the case of COVID-19-further allowing us to come closer to controlling such situations. Finally, this model allowed the study of dynamical characteristics such as the memory effect, through the autocorrelation function, in the studied epidemiological dynamical systems. |*Betacoronavirus[MESH] |*Pandemics[MESH] |COVID-19[MESH] |Coronavirus Infections/*epidemiology[MESH] |Europe/epidemiology[MESH] |Humans[MESH] |Models, Theoretical[MESH] |Physics[MESH] |Pneumonia, Viral/*epidemiology[MESH]A Universal Physics-Based Model Describing COVID-19 Dynamics in Europe(epmc).pdf DeepDyve Pubget Overpricing