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10.1016/j.envres.2022.112818 http://scihub22266oqcxt.onion/10.1016/j.envres.2022.112818 35104482!8800502!35104482     free     free     free Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Environ+Res 2022 ; 210 (ä): 112818 Nephropedia Template TP {{tp|p=35104482|t=2022. Examining the status of forest fire emission in 2020 and its connection to COVID-19 incidents in West Coast regions of the United States |pdf=|usr=}}{{35104482}} gab.com Text Examining the status of forest fire emission in 2020 and its connection to COVID-19 incidents in West Coast regions of the United States JO: Environ Res http://www.kidney.de/pget.php?&tw=1&pmid=35104482 #FOAvip Forest fires impact on soil, water, and biota resources. The current forest fires in the West Coast of the United States (US) profoundly impacted the atmosphere and air quality across the ecosystems and have caused severe environmental and public health burdens. Forest fire led emissions could significantly exacerbate the air pollution level and, therefore, would play a critical role if the same occurs together with any epidemic and pandemic health crisis. Limited research is done so far to examine its impact in connection to the current pandemic. As of October 21, nearly 8.2 million acres of forest area were burned, with more than 25 casualties reported so far. In-situ air pollution data were utilized to examine the effects of the 2020 forest fire on atmosphere and coronavirus (COVID-19) casualties. The spatial-temporal concentrations of particulate matter (PM(2.5) and PM(10)) and Nitrogen Dioxide (NO(2)) were collected from August 1 to October 30 for 2020 (the fire year) and 2019 (the reference year). Both spatial (Multiscale Geographically Weighted Regression) and non-spatial (Negative Binomial Regression) analyses were performed to assess the adverse effects of fire emission on human health. The in-situ data-led measurements showed that the maximum increases in PM(2.5), PM(10), and NO(2) concentrations (mug/m(3)) were clustered in the West Coastal fire-prone states during August 1 - October 30, 2020. The average concentration (mug/m(3)) of particulate matter (PM(2.5) and PM(10)) and NO(2) was increased in all the fire states severely affected by forest fires. The average PM(2.5) concentrations (mug/m(3)) over the period were recorded as 7.9, 6.3, 5.5, and 5.2 for California, Colorado, Oregon, and Washington in 2019, increasing up to 24.9, 13.4, 25.0, and 17.0 in 2020. Both spatial and non-spatial regression models exhibited a statistically significant association between fire emission and COVID-19 incidents. Such association has been demonstrated robust and stable by a total of 30 models developed for analyzing the spatial non-stationary and local association. More in-depth research is needed to better understand the complex relationship between forest fire emission and human health. Twit Text FOAVip Examining the status of forest fire emission in 2020 and its connection to COVID-19 incidents in West Coast regions of the United States ????Environ Res http://www.kidney.de/pget.php?&tw=1&pmid=35104482 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=35104482 #FOAvip English Wikipedia <ref>{{Cite pmid|35104482}}</ref> Examining the status of forest fire emission in 2020 and its connection to COVID-19 incidents in West Coast regions of the United States #MMPMID35104482 Sannigrahi S; Pilla F; Maiti A; Bar S; Bhatt S; Kaparwan A; Zhang Q; Keesstra S; Cerda A Environ Res 2022[Jul]; 210 (ä): 112818 PMID35104482show ga Forest fires impact on soil, water, and biota resources. The current forest fires in the West Coast of the United States (US) profoundly impacted the atmosphere and air quality across the ecosystems and have caused severe environmental and public health burdens. Forest fire led emissions could significantly exacerbate the air pollution level and, therefore, would play a critical role if the same occurs together with any epidemic and pandemic health crisis. Limited research is done so far to examine its impact in connection to the current pandemic. As of October 21, nearly 8.2 million acres of forest area were burned, with more than 25 casualties reported so far. In-situ air pollution data were utilized to examine the effects of the 2020 forest fire on atmosphere and coronavirus (COVID-19) casualties. The spatial-temporal concentrations of particulate matter (PM(2.5) and PM(10)) and Nitrogen Dioxide (NO(2)) were collected from August 1 to October 30 for 2020 (the fire year) and 2019 (the reference year). Both spatial (Multiscale Geographically Weighted Regression) and non-spatial (Negative Binomial Regression) analyses were performed to assess the adverse effects of fire emission on human health. The in-situ data-led measurements showed that the maximum increases in PM(2.5), PM(10), and NO(2) concentrations (mug/m(3)) were clustered in the West Coastal fire-prone states during August 1 - October 30, 2020. The average concentration (mug/m(3)) of particulate matter (PM(2.5) and PM(10)) and NO(2) was increased in all the fire states severely affected by forest fires. The average PM(2.5) concentrations (mug/m(3)) over the period were recorded as 7.9, 6.3, 5.5, and 5.2 for California, Colorado, Oregon, and Washington in 2019, increasing up to 24.9, 13.4, 25.0, and 17.0 in 2020. Both spatial and non-spatial regression models exhibited a statistically significant association between fire emission and COVID-19 incidents. Such association has been demonstrated robust and stable by a total of 30 models developed for analyzing the spatial non-stationary and local association. More in-depth research is needed to better understand the complex relationship between forest fire emission and human health. |*Air Pollutants/analysis[MESH] |*Air Pollution/analysis[MESH] |*COVID-19/epidemiology[MESH] |*Wildfires[MESH] |Ecosystem[MESH] |Environmental Monitoring[MESH] |Humans[MESH] |Nitrogen Dioxide/analysis[MESH] |Particulate Matter/analysis[MESH]Examining the status of forest fire emission in 2020 and its connectio(epmc).pdf DeepDyve Pubget Overpricing