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10.1016/j.envres.2021.111970 http://scihub22266oqcxt.onion/10.1016/j.envres.2021.111970 34474031!8403556!34474031     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       Environ+Res 2022 ; 204 (Pt A): 111970 Nephropedia Template TP {{tp|p=34474031|t=2022. Satellite data and machine learning reveal a significant correlation between NO(2) and COVID-19 mortality |pdf=|usr=}}{{34474031}} gab.com Text Satellite data and machine learning reveal a significant correlation between NO(2) and COVID-19 mortality JO: Environ Res http://www.kidney.de/pget.php?&tw=1&pmid=34474031 #FOAvip The Coronavirus disease 2019 (COVID-19) pandemic has officially spread all over the world since the beginning of 2020. Although huge efforts are addressed by scientists to shed light over the several questions raised by the novel SARS-CoV-2 virus, many aspects need to be clarified, yet. In particular, several studies have pointed out significant variations between countries in per-capita mortality. In this work, we investigated the association between COVID-19 mortality with climate variables and air pollution throughout European countries using the satellite remote sensing images provided by the Sentinel-5p mission. We analyzed data collected for two years of observations and extracted the concentrations of several pollutants; we used these measurements to feed a Random Forest regression. We performed a cross-validation analysis to assess the robustness of the model and compared several regression strategies. Our findings reveal a significant statistical association between air pollution (NO(2)) and COVID-19 mortality and a significant role played by the socio-demographic features, like the number of nurses or the hospital beds and the gross domestic product per capita. Twit Text FOAVip Satellite data and machine learning reveal a significant correlation between NO(2) and COVID-19 mortality ????Environ Res http://www.kidney.de/pget.php?&tw=1&pmid=34474031 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34474031 #FOAvip English Wikipedia <ref>{{Cite pmid|34474031}}</ref> Satellite data and machine learning reveal a significant correlation between NO(2) and COVID-19 mortality #MMPMID34474031 Amoroso N; Cilli R; Maggipinto T; Monaco A; Tangaro S; Bellotti R Environ Res 2022[Mar]; 204 (Pt A): 111970 PMID34474031show ga The Coronavirus disease 2019 (COVID-19) pandemic has officially spread all over the world since the beginning of 2020. Although huge efforts are addressed by scientists to shed light over the several questions raised by the novel SARS-CoV-2 virus, many aspects need to be clarified, yet. In particular, several studies have pointed out significant variations between countries in per-capita mortality. In this work, we investigated the association between COVID-19 mortality with climate variables and air pollution throughout European countries using the satellite remote sensing images provided by the Sentinel-5p mission. We analyzed data collected for two years of observations and extracted the concentrations of several pollutants; we used these measurements to feed a Random Forest regression. We performed a cross-validation analysis to assess the robustness of the model and compared several regression strategies. Our findings reveal a significant statistical association between air pollution (NO(2)) and COVID-19 mortality and a significant role played by the socio-demographic features, like the number of nurses or the hospital beds and the gross domestic product per capita. |*Air Pollutants/analysis[MESH] |*Air Pollution/analysis[MESH] |*COVID-19[MESH] |Environmental Monitoring[MESH] |Humans[MESH] |Machine Learning[MESH] |Nitrogen Dioxide[MESH] |Particulate Matter/analysis[MESH]Satellite data and machine learning reveal a significant correlation b(epmc).pdf DeepDyve Pubget Overpricing