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10.3390/e23060673 http://scihub22266oqcxt.onion/10.3390/e23060673 34071928!8227473!34071928     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       Entropy+(Basel) 2021 ; 23 (6): ä Nephropedia Template TP {{tp|p=34071928|t=2021. Socio-Economic Impact of the Covid-19 Pandemic in the U S |pdf=|usr=}}{{34071928}} gab.com Text Socio-Economic Impact of the Covid-19 Pandemic in the U S JO: Entropy (Basel) http://www.kidney.de/pget.php?&tw=1&pmid=34071928 #FOAvip This paper proposes a dynamic cascade model to investigate the systemic risk posed by sector-level industries within the U.S. inter-industry network. We then use this model to study the effect of the disruptions presented by Covid-19 on the U.S. economy. We construct a weighted digraph G = (V,E,W) using the industry-by-industry total requirements table for 2018, provided by the Bureau of Economic Analysis (BEA). We impose an initial shock that disrupts the production capacity of one or more industries, and we calculate the propagation of production shortages with a modified Cobb-Douglas production function. For the Covid-19 case, we model the initial shock based on the loss of labor between March and April 2020 as reported by the Bureau of Labor Statistics (BLS). The industries within the network are assigned a resilience that determines the ability of an industry to absorb input losses, such that if the rate of input loss exceeds the resilience, the industry fails, and its outputs go to zero. We observed a critical resilience, such that, below this critical value, the network experienced a catastrophic cascade resulting in total network collapse. Lastly, we model the economic recovery from June 2020 through March 2021 using BLS data. Twit Text FOAVip Socio-Economic Impact of the Covid-19 Pandemic in the U S ????Entropy (Basel) http://www.kidney.de/pget.php?&tw=1&pmid=34071928 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34071928 #FOAvip English Wikipedia <ref>{{Cite pmid|34071928}}</ref> Socio-Economic Impact of the Covid-19 Pandemic in the U S #MMPMID34071928 Barlow J; Vodenska I Entropy (Basel) 2021[May]; 23 (6): ä PMID34071928show ga This paper proposes a dynamic cascade model to investigate the systemic risk posed by sector-level industries within the U.S. inter-industry network. We then use this model to study the effect of the disruptions presented by Covid-19 on the U.S. economy. We construct a weighted digraph G = (V,E,W) using the industry-by-industry total requirements table for 2018, provided by the Bureau of Economic Analysis (BEA). We impose an initial shock that disrupts the production capacity of one or more industries, and we calculate the propagation of production shortages with a modified Cobb-Douglas production function. For the Covid-19 case, we model the initial shock based on the loss of labor between March and April 2020 as reported by the Bureau of Labor Statistics (BLS). The industries within the network are assigned a resilience that determines the ability of an industry to absorb input losses, such that if the rate of input loss exceeds the resilience, the industry fails, and its outputs go to zero. We observed a critical resilience, such that, below this critical value, the network experienced a catastrophic cascade resulting in total network collapse. Lastly, we model the economic recovery from June 2020 through March 2021 using BLS data. äSocio-Economic Impact of the Covid-19 Pandemic in the U S (epmc).pdf DeepDyve Pubget Overpricing