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10.1038/s41598-021-87877-6 http://scihub22266oqcxt.onion/10.1038/s41598-021-87877-6 33863975!8052456!33863975     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33863975&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sci+Rep 2021 ; 11 (1): 8363 Nephropedia Template TP {{tp|p=33863975|t=2021. Highlighting the compound risk of COVID-19 and environmental pollutants using geospatial technology |pdf=|usr=}}{{33863975}} gab.com Text Highlighting the compound risk of COVID-19 and environmental pollutants using geospatial technology JO: Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=33863975 #FOAvip The new COVID-19 coronavirus disease has emerged as a global threat and not just to human health but also the global economy. Due to the pandemic, most countries affected have therefore imposed periods of full or partial lockdowns to restrict community transmission. This has had the welcome but unexpected side effect that existing levels of atmospheric pollutants, particularly in cities, have temporarily declined. As found by several authors, air quality can inherently exacerbate the risks linked to respiratory diseases, including COVID-19. In this study, we explore patterns of air pollution for ten of the most affected countries in the world, in the context of the 2020 development of the COVID-19 pandemic. We find that the concentrations of some of the principal atmospheric pollutants were temporarily reduced during the extensive lockdowns in the spring. Secondly, we show that the seasonality of the atmospheric pollutants is not significantly affected by these temporary changes, indicating that observed variations in COVID-19 conditions are likely to be linked to air quality. On this background, we confirm that air pollution may be a good predictor for the local and national severity of COVID-19 infections. Twit Text FOAVip Highlighting the compound risk of COVID-19 and environmental pollutants using geospatial technology ????Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=33863975 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33863975 #FOAvip English Wikipedia <ref>{{Cite pmid|33863975}}</ref> Highlighting the compound risk of COVID-19 and environmental pollutants using geospatial technology #MMPMID33863975 Singh RK; Drews M; De la Sen M; Srivastava PK; Trisasongko BH; Kumar M; Pandey MK; Anand A; Singh SS; Pandey AK; Dobriyal M; Rani M; Kumar P Sci Rep 2021[Apr]; 11 (1): 8363 PMID33863975show ga The new COVID-19 coronavirus disease has emerged as a global threat and not just to human health but also the global economy. Due to the pandemic, most countries affected have therefore imposed periods of full or partial lockdowns to restrict community transmission. This has had the welcome but unexpected side effect that existing levels of atmospheric pollutants, particularly in cities, have temporarily declined. As found by several authors, air quality can inherently exacerbate the risks linked to respiratory diseases, including COVID-19. In this study, we explore patterns of air pollution for ten of the most affected countries in the world, in the context of the 2020 development of the COVID-19 pandemic. We find that the concentrations of some of the principal atmospheric pollutants were temporarily reduced during the extensive lockdowns in the spring. Secondly, we show that the seasonality of the atmospheric pollutants is not significantly affected by these temporary changes, indicating that observed variations in COVID-19 conditions are likely to be linked to air quality. On this background, we confirm that air pollution may be a good predictor for the local and national severity of COVID-19 infections. |Air Pollutants/analysis[MESH] |COVID-19/epidemiology/*pathology/virology[MESH] |Environmental Pollutants/*analysis[MESH] |Humans[MESH] |Models, Theoretical[MESH] |Nitric Oxide/analysis[MESH] |Ozone/analysis[MESH] |Pandemics[MESH] |Risk Factors[MESH] |SARS-CoV-2/isolation & purification[MESH] |Severity of Illness Index[MESH]Highlighting the compound risk of COVID-19 and environmental pollutant(epmc).pdf DeepDyve Pubget Overpricing