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10.1164/rccm.202011-4142OC http://scihub22266oqcxt.onion/10.1164/rccm.202011-4142OC 33798018!8650790!33798018     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33798018&cmd=llinks): Failed to open stream: HTTP request failed! 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Within-City Variation in Reactive Oxygen Species from Fine Particle Air Pollution and COVID-19 |pdf=|usr=}}{{33798018}} gab.com Text Within-City Variation in Reactive Oxygen Species from Fine Particle Air Pollution and COVID-19 JO: Am J Respir Crit Care Med http://www.kidney.de/pget.php?&tw=1&pmid=33798018 #FOAvip Rationale: Evidence linking outdoor air pollution with coronavirus disease (COVID-19) incidence and mortality is largely based on ecological comparisons between regions that may differ in factors such as access to testing and control measures that may not be independent of air pollution concentrations. Moreover, studies have yet to focus on key mechanisms of air pollution toxicity such as oxidative stress. Objectives: To conduct a within-city analysis of spatial variations in COVID-19 incidence and the estimated generation of reactive oxygen species (ROS) in lung lining fluid attributable to fine particulate matter (particulate matter with an aerodynamic diameter ?2.5 mum [PM(2.5)]). Methods: Sporadic and outbreak-related COVID-19 case counts, testing data, population data, and sociodemographic data for 140 neighborhoods were obtained from the City of Toronto. ROS estimates were based on a mathematical model of ROS generation in lung lining fluid in response to iron and copper in PM(2.5). Spatial variations in long-term average ROS were predicted using a land-use regression model derived from measurements of iron and copper in PM(2.5). Data were analyzed using negative binomial regression models adjusting for covariates identified using a directed acyclic graph and accounting for spatial autocorrelation. Measurements and Main Results: A significant positive association was observed between neighborhood-level ROS and COVID-19 incidence (incidence rate ratio = 1.07; 95% confidence interval, 1.01-1.15 per interquartile range ROS). Effect modification by neighborhood-level measures of racialized group membership and socioeconomic status was also identified. Conclusions: Examination of neighborhood characteristics associated with COVID-19 incidence can identify inequalities and generate hypotheses for future studies. Twit Text FOAVip Within-City Variation in Reactive Oxygen Species from Fine Particle Air Pollution and COVID-19 ????Am J Respir Crit Care Med http://www.kidney.de/pget.php?&tw=1&pmid=33798018 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33798018 #FOAvip English Wikipedia <ref>{{Cite pmid|33798018}}</ref> Within-City Variation in Reactive Oxygen Species from Fine Particle Air Pollution and COVID-19 #MMPMID33798018 Stieb DM; Evans GJ; To TM; Lakey PSJ; Shiraiwa M; Hatzopoulou M; Minet L; Brook JR; Burnett RT; Weichenthal SA Am J Respir Crit Care Med 2021[Jul]; 204 (2): 168-177 PMID33798018show ga Rationale: Evidence linking outdoor air pollution with coronavirus disease (COVID-19) incidence and mortality is largely based on ecological comparisons between regions that may differ in factors such as access to testing and control measures that may not be independent of air pollution concentrations. Moreover, studies have yet to focus on key mechanisms of air pollution toxicity such as oxidative stress. Objectives: To conduct a within-city analysis of spatial variations in COVID-19 incidence and the estimated generation of reactive oxygen species (ROS) in lung lining fluid attributable to fine particulate matter (particulate matter with an aerodynamic diameter ?2.5 mum [PM(2.5)]). Methods: Sporadic and outbreak-related COVID-19 case counts, testing data, population data, and sociodemographic data for 140 neighborhoods were obtained from the City of Toronto. ROS estimates were based on a mathematical model of ROS generation in lung lining fluid in response to iron and copper in PM(2.5). Spatial variations in long-term average ROS were predicted using a land-use regression model derived from measurements of iron and copper in PM(2.5). Data were analyzed using negative binomial regression models adjusting for covariates identified using a directed acyclic graph and accounting for spatial autocorrelation. Measurements and Main Results: A significant positive association was observed between neighborhood-level ROS and COVID-19 incidence (incidence rate ratio = 1.07; 95% confidence interval, 1.01-1.15 per interquartile range ROS). Effect modification by neighborhood-level measures of racialized group membership and socioeconomic status was also identified. Conclusions: Examination of neighborhood characteristics associated with COVID-19 incidence can identify inequalities and generate hypotheses for future studies. |*Models, Statistical[MESH] |Air Pollution/*analysis[MESH] |COVID-19/epidemiology/*metabolism[MESH] |Female[MESH] |Humans[MESH] |Incidence[MESH] |Male[MESH] |Middle Aged[MESH] |Ontario/epidemiology[MESH] |Reactive Oxygen Species/*analysis[MESH]Within-City Variation in Reactive Oxygen Species from Fine Particle Ai(epmc).pdf DeepDyve Pubget Overpricing