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10.1016/j.chaos.2020.109842 http://scihub22266oqcxt.onion/10.1016/j.chaos.2020.109842 32341627!7183990!32341627     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 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Chaos+Solitons+Fractals 2020 ; 135 (ä): 109842 Nephropedia Template TP {{tp|p=32341627|t=2020. Estimating the infection horizon of COVID-19 in eight countries with a data-driven approach |pdf=|usr=}}{{32341627}} gab.com Text Estimating the infection horizon of COVID-19 in eight countries with a data-driven approach JO: Chaos Solitons Fractals http://www.kidney.de/pget.php?&tw=1&pmid=32341627 #FOAvip The COVID-19 pandemic has affected all countries of the world producing a substantial number of fatalities accompanied by a major disruption in their social, financial and educational organization. The strict disciplinary measures implemented by China were very effective and thus were subsequently adopted by most world countries to various degrees. The infection duration and number of infected persons are of critical importance for the battle against the pandemic. We use the quantitative landscape of the disease spreading in China as a benchmark and utilize infection data from eight countries to estimate the complete evolution of the infection in each of these countries. The analysis predicts successfully both the expected number of daily infections per country and, perhaps more importantly, the duration of the epidemic in each country. Our quantitative approach is based on a Gaussian spreading hypothesis that is shown to arise as a result of imposed measures in a simple dynamical infection model. This may have consequences and shed light in the efficiency of policies once the phenomenon is over. Twit Text FOAVip Estimating the infection horizon of COVID-19 in eight countries with a data-driven approach ????Chaos Solitons Fractals http://www.kidney.de/pget.php?&tw=1&pmid=32341627 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32341627 #FOAvip English Wikipedia <ref>{{Cite pmid|32341627}}</ref> Estimating the infection horizon of COVID-19 in eight countries with a data-driven approach #MMPMID32341627 Barmparis GD; Tsironis GP Chaos Solitons Fractals 2020[Jun]; 135 (ä): 109842 PMID32341627show ga The COVID-19 pandemic has affected all countries of the world producing a substantial number of fatalities accompanied by a major disruption in their social, financial and educational organization. The strict disciplinary measures implemented by China were very effective and thus were subsequently adopted by most world countries to various degrees. The infection duration and number of infected persons are of critical importance for the battle against the pandemic. We use the quantitative landscape of the disease spreading in China as a benchmark and utilize infection data from eight countries to estimate the complete evolution of the infection in each of these countries. The analysis predicts successfully both the expected number of daily infections per country and, perhaps more importantly, the duration of the epidemic in each country. Our quantitative approach is based on a Gaussian spreading hypothesis that is shown to arise as a result of imposed measures in a simple dynamical infection model. This may have consequences and shed light in the efficiency of policies once the phenomenon is over. äEstimating the infection horizon of COVID-19 in eight countries with a(epmc).pdf DeepDyve Pubget Overpricing