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10.1016/j.ssci.2021.105164 http://scihub22266oqcxt.onion/10.1016/j.ssci.2021.105164 33758466!7972928!33758466     free     free     free Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Saf+Sci 2021 ; 136 (ä): 105164 Nephropedia Template TP {{tp|p=33758466|t=2021. Diagnostic model for the society safety under COVID-19 pandemic conditions |pdf=|usr=}}{{33758466}} gab.com Text Diagnostic model for the society safety under COVID-19 pandemic conditions JO: Saf Sci http://www.kidney.de/pget.php?&tw=1&pmid=33758466 #FOAvip The aim of this paper is to develop an information-modeling method for assessing and predicting the consequences of the COVID-19 pandemic. To this end, a detailed analysis of official statistical information provided by global and national organizations is carried out. The developed method is based on the algorithm of multi-channel big data processing considering the demographic and socio-economic information. COVID-19 data are analyzed using an instability indicator and a system of differential equations that describe the dynamics of four groups of people: susceptible, infected, recovered and dead. Indicators of the global sustainable development in various sectors are considered to analyze COVID-19 data. Stochastic processes induced by COVID-19 are assessed with the instability indicator showing the level of stability of official data and the reduction of the level of uncertainty. It turns out that the number of deaths is rising with the Human Development Index. It is revealed that COVID-19 divides the global population into three groups according to the relationship between Gross Domestic Product and the number of infected people. The prognosis for the number of infected people in December 2020 and January-February 2021 shows negative events which will decrease slowly. Twit Text FOAVip Diagnostic model for the society safety under COVID-19 pandemic conditions ????Saf Sci http://www.kidney.de/pget.php?&tw=1&pmid=33758466 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33758466 #FOAvip English Wikipedia <ref>{{Cite pmid|33758466}}</ref> Diagnostic model for the society safety under COVID-19 pandemic conditions #MMPMID33758466 Varotsos CA; Krapivin VF; Xue Y Saf Sci 2021[Apr]; 136 (ä): 105164 PMID33758466show ga The aim of this paper is to develop an information-modeling method for assessing and predicting the consequences of the COVID-19 pandemic. To this end, a detailed analysis of official statistical information provided by global and national organizations is carried out. The developed method is based on the algorithm of multi-channel big data processing considering the demographic and socio-economic information. COVID-19 data are analyzed using an instability indicator and a system of differential equations that describe the dynamics of four groups of people: susceptible, infected, recovered and dead. Indicators of the global sustainable development in various sectors are considered to analyze COVID-19 data. Stochastic processes induced by COVID-19 are assessed with the instability indicator showing the level of stability of official data and the reduction of the level of uncertainty. It turns out that the number of deaths is rising with the Human Development Index. It is revealed that COVID-19 divides the global population into three groups according to the relationship between Gross Domestic Product and the number of infected people. The prognosis for the number of infected people in December 2020 and January-February 2021 shows negative events which will decrease slowly. äDiagnostic model for the society safety under COVID-19 pandemic condit(epmc).pdf DeepDyve Pubget Overpricing