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10.1371/journal.pone.0237304 http://scihub22266oqcxt.onion/10.1371/journal.pone.0237304 32780754!7418974!32780754     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 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       PLoS+One 2020 ; 15 (8): e0237304 Nephropedia Template TP {{tp|p=32780754|t=2020. A fractal kinetics SI model can explain the dynamics of COVID-19 epidemics |pdf=|usr=}}{{32780754}} gab.com Text A fractal kinetics SI model can explain the dynamics of COVID-19 epidemics JO: PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=32780754 #FOAvip The COVID-19 pandemic has already had a shocking impact on the lives of everybody on the planet. Here, we present a modification of the classical SI model, the Fractal Kinetics SI model which is in excellent agreement with the disease outbreak data available from the World Health Organization. The fractal kinetic approach that we propose here originates from chemical kinetics and has successfully been used in the past to describe reaction dynamics when imperfect mixing and segregation of the reactants is important and affects the dynamics of the reaction. The model introduces a novel epidemiological parameter, the "fractal" exponent h which is introduced in order to account for the self-organization of the societies against the pandemic through social distancing, lockdowns and flight restrictions. Twit Text FOAVip A fractal kinetics SI model can explain the dynamics of COVID-19 epidemics ????PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=32780754 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32780754 #FOAvip English Wikipedia <ref>{{Cite pmid|32780754}}</ref> A fractal kinetics SI model can explain the dynamics of COVID-19 epidemics #MMPMID32780754 Kosmidis K; Macheras P PLoS One 2020[]; 15 (8): e0237304 PMID32780754show ga The COVID-19 pandemic has already had a shocking impact on the lives of everybody on the planet. Here, we present a modification of the classical SI model, the Fractal Kinetics SI model which is in excellent agreement with the disease outbreak data available from the World Health Organization. The fractal kinetic approach that we propose here originates from chemical kinetics and has successfully been used in the past to describe reaction dynamics when imperfect mixing and segregation of the reactants is important and affects the dynamics of the reaction. The model introduces a novel epidemiological parameter, the "fractal" exponent h which is introduced in order to account for the self-organization of the societies against the pandemic through social distancing, lockdowns and flight restrictions. |*Betacoronavirus[MESH] |*Fractals[MESH] |COVID-19[MESH] |Coronavirus Infections/*epidemiology/virology[MESH] |Humans[MESH] |Kinetics[MESH] |Pandemics[MESH] |Pneumonia, Viral/*epidemiology/virology[MESH] |Principal Component Analysis[MESH] |Quarantine/methods[MESH] |SARS-CoV-2[MESH]A fractal kinetics SI model can explain the dynamics of COVID-19 epide(epmc).pdf DeepDyve Pubget Overpricing