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10.1016/j.idm.2021.05.001 http://scihub22266oqcxt.onion/10.1016/j.idm.2021.05.001 34028469!8132555!34028469     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       Infect+Dis+Model 2021 ; 6 (ä): 743-750 Nephropedia Template TP {{tp|p=34028469|t=2021. Power-law growth of the COVID-19 fatality incidents in Europe |pdf=|usr=}}{{34028469}} gab.com Text Power-law growth of the COVID-19 fatality incidents in Europe JO: Infect Dis Model http://www.kidney.de/pget.php?&tw=1&pmid=34028469 #FOAvip We report on the dynamic scaling of the diffusion growth phase of the COVID-19 epidemic in Europe. During this initial diffusion stage, the European countries implemented unprecedented mitigation polices to delay and suppress the disease contagion, although not in a uniform way or timing. Despite this diversity, we find that the reported fatality cases grow following a power law in all European countries we studied. The difference among countries is the value of the power-law exponent 3.5 < alpha < 8.0. This common attribute can prove a practical diagnostic tool, allowing reasonable predictions for the growth rate from very early data at a country level. We propose a model for the disease-causing interactions, based on a mechanism of human decisions and risk taking in interpersonal associations. The model describes the observed statistical distribution and contributes to the discussion on basic assumptions for homogeneous mixing or for a network perspective in epidemiological studies of COVID-19. Twit Text FOAVip Power-law growth of the COVID-19 fatality incidents in Europe ????Infect Dis Model http://www.kidney.de/pget.php?&tw=1&pmid=34028469 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34028469 #FOAvip English Wikipedia <ref>{{Cite pmid|34028469}}</ref> Power-law growth of the COVID-19 fatality incidents in Europe #MMPMID34028469 Xenikos DG; Asimakopoulos A Infect Dis Model 2021[]; 6 (ä): 743-750 PMID34028469show ga We report on the dynamic scaling of the diffusion growth phase of the COVID-19 epidemic in Europe. During this initial diffusion stage, the European countries implemented unprecedented mitigation polices to delay and suppress the disease contagion, although not in a uniform way or timing. Despite this diversity, we find that the reported fatality cases grow following a power law in all European countries we studied. The difference among countries is the value of the power-law exponent 3.5 < alpha < 8.0. This common attribute can prove a practical diagnostic tool, allowing reasonable predictions for the growth rate from very early data at a country level. We propose a model for the disease-causing interactions, based on a mechanism of human decisions and risk taking in interpersonal associations. The model describes the observed statistical distribution and contributes to the discussion on basic assumptions for homogeneous mixing or for a network perspective in epidemiological studies of COVID-19. äPower-law growth of the COVID-19 fatality incidents in Europe (epmc).pdf DeepDyve Pubget Overpricing