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10.1016/j.envres.2022.113016 http://scihub22266oqcxt.onion/10.1016/j.envres.2022.113016 35218713!8865934!35218713     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=35218713&cmd=llinks): Failed to open stream: HTTP request failed! 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The association between daily-diagnosed COVID-19 morbidity and short-term exposure to PM(1) is larger than associations with PM(2 5) and PM(10) |pdf=|usr=}}{{35218713}} gab.com Text The association between daily-diagnosed COVID-19 morbidity and short-term exposure to PM(1) is larger than associations with PM(2 5) and PM(10) JO: Environ Res http://www.kidney.de/pget.php?&tw=1&pmid=35218713 #FOAvip Exposure to particulate matter (PM) could increase both susceptibility to SARS-CoV-2 infection and severity of COVID-19 disease. Prior studies investigating associations between PM and COVID-19 morbidity have only considered PM(2.5) or PM(10), rather than PM(1). We investigated the associations between daily-diagnosed COVID-19 morbidity and average exposures to ambient PM(1) starting at 0 through 21 days before the day of diagnosis in 12 cities in China using a two-step analysis: a time-series quasi-Poisson analysis to analyze the associations in each city; and then a meta-analysis to estimate the overall association. Diagnosed morbidities and PM(1) data were obtained from National Health Commission in China and China Meteorological Administration, respectively. We found association between short-term exposures to ambient PM(1) with COVID-19 morbidity was significantly positive, and larger than the associations with PM(2.5) and PM(10). Percent increases in daily-diagnosed COVID-19 morbidity per IQR/10 PM(1) for different moving averages ranged from 1.50% (-1.20%, 4.30%) to 241% (95%CI: 80.7%, 545%), with largest values for exposure windows starting at 17 days before diagnosis. Our results indicate that smaller particles are more highly associated with COVID-19 morbidity, and most of the effects from PM(2.5) and PM(10) on COVID-19 may be primarily due to the PM(1). This study will be helpful for implementing measures and policies to control the spread of COVID-19. Twit Text FOAVip The association between daily-diagnosed COVID-19 morbidity and short-term exposure to PM(1) is larger than associations with PM(2 5) and PM(10) ????Environ Res http://www.kidney.de/pget.php?&tw=1&pmid=35218713 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=35218713 #FOAvip English Wikipedia <ref>{{Cite pmid|35218713}}</ref> The association between daily-diagnosed COVID-19 morbidity and short-term exposure to PM(1) is larger than associations with PM(2 5) and PM(10) #MMPMID35218713 Xiong J; Li J; Wu X; Wolfson JM; Lawrence J; Stern RA; Koutrakis P; Wei J; Huang S Environ Res 2022[Jul]; 210 (ä): 113016 PMID35218713show ga Exposure to particulate matter (PM) could increase both susceptibility to SARS-CoV-2 infection and severity of COVID-19 disease. Prior studies investigating associations between PM and COVID-19 morbidity have only considered PM(2.5) or PM(10), rather than PM(1). We investigated the associations between daily-diagnosed COVID-19 morbidity and average exposures to ambient PM(1) starting at 0 through 21 days before the day of diagnosis in 12 cities in China using a two-step analysis: a time-series quasi-Poisson analysis to analyze the associations in each city; and then a meta-analysis to estimate the overall association. Diagnosed morbidities and PM(1) data were obtained from National Health Commission in China and China Meteorological Administration, respectively. We found association between short-term exposures to ambient PM(1) with COVID-19 morbidity was significantly positive, and larger than the associations with PM(2.5) and PM(10). Percent increases in daily-diagnosed COVID-19 morbidity per IQR/10 PM(1) for different moving averages ranged from 1.50% (-1.20%, 4.30%) to 241% (95%CI: 80.7%, 545%), with largest values for exposure windows starting at 17 days before diagnosis. Our results indicate that smaller particles are more highly associated with COVID-19 morbidity, and most of the effects from PM(2.5) and PM(10) on COVID-19 may be primarily due to the PM(1). This study will be helpful for implementing measures and policies to control the spread of COVID-19. |*Air Pollutants/analysis/toxicity[MESH] |*Air Pollution/adverse effects/analysis[MESH] |*COVID-19/epidemiology[MESH] |China/epidemiology[MESH] |Environmental Exposure/analysis[MESH] |Humans[MESH] |Morbidity[MESH] |Particulate Matter/analysis[MESH]The association between daily-diagnosed COVID-19 morbidity and short-t(epmc).pdf DeepDyve Pubget Overpricing