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10.1016/j.jenvman.2021.112241 http://scihub22266oqcxt.onion/10.1016/j.jenvman.2021.112241 33667818!8506015!33667818     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Environ+Manage 2021 ; 286 (ä): 112241 Nephropedia Template TP {{tp|p=33667818|t=2021. The nexus between COVID-19 deaths, air pollution and economic growth in New York state: Evidence from Deep Machine Learning |pdf=|usr=}}{{33667818}} gab.com Text The nexus between COVID-19 deaths, air pollution and economic growth in New York state: Evidence from Deep Machine Learning JO: J Environ Manage http://www.kidney.de/pget.php?&tw=1&pmid=33667818 #FOAvip The aim of this paper is to assess the relationship between COVID-19-related deaths, economic growth, PM(10), PM(2.5,) and NO(2) concentrations in New York state using city-level daily data through two Machine Learning experiments. PM(2.5) and NO(2) are the most significant pollutant agents responsible for facilitating COVID-19 attributed death rates. Besides, we found only six out of many tested causal inferences to be significant and true within the AUPRC analysis. In line with the causal findings, a unidirectional causal effect is found from PM(2.5) to Deaths, NO(2) to Deaths, and economic growth to both PM(2.5) and NO(2). Corroborating the first experiment, the causal results confirmed the capability of polluting variables (PM(2.5) to Deaths, NO(2) to Deaths) to accelerate COVID-19 deaths. In contrast, we found evidence that unsustainable economic growth predicts the dynamics of air pollutants. This shows how unsustainable economic growth could increase environmental pollution by escalating emissions of pollutant agents (PM(2.5) and NO(2)) in New York state. Twit Text FOAVip The nexus between COVID-19 deaths, air pollution and economic growth in New York state: Evidence from Deep Machine Learning ????J Environ Manage http://www.kidney.de/pget.php?&tw=1&pmid=33667818 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33667818 #FOAvip English Wikipedia <ref>{{Cite pmid|33667818}}</ref> The nexus between COVID-19 deaths, air pollution and economic growth in New York state: Evidence from Deep Machine Learning #MMPMID33667818 Magazzino C; Mele M; Sarkodie SA J Environ Manage 2021[May]; 286 (ä): 112241 PMID33667818show ga The aim of this paper is to assess the relationship between COVID-19-related deaths, economic growth, PM(10), PM(2.5,) and NO(2) concentrations in New York state using city-level daily data through two Machine Learning experiments. PM(2.5) and NO(2) are the most significant pollutant agents responsible for facilitating COVID-19 attributed death rates. Besides, we found only six out of many tested causal inferences to be significant and true within the AUPRC analysis. In line with the causal findings, a unidirectional causal effect is found from PM(2.5) to Deaths, NO(2) to Deaths, and economic growth to both PM(2.5) and NO(2). Corroborating the first experiment, the causal results confirmed the capability of polluting variables (PM(2.5) to Deaths, NO(2) to Deaths) to accelerate COVID-19 deaths. In contrast, we found evidence that unsustainable economic growth predicts the dynamics of air pollutants. This shows how unsustainable economic growth could increase environmental pollution by escalating emissions of pollutant agents (PM(2.5) and NO(2)) in New York state. |*Air Pollutants/analysis[MESH] |*Air Pollution/adverse effects/analysis[MESH] |*COVID-19[MESH] |Cities[MESH] |Economic Development[MESH] |Humans[MESH] |Machine Learning[MESH] |New York[MESH] |Particulate Matter/analysis[MESH]The nexus between COVID-19 deaths, air pollution and economic growth i(epmc).pdf DeepDyve Pubget Overpricing