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10.1016/j.envres.2022.113896 http://scihub22266oqcxt.onion/10.1016/j.envres.2022.113896 35841971!9277987!35841971     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       Environ+Res 2022 ; 214 (Pt 2): 113896 Nephropedia Template TP {{tp|p=35841971|t=2022. Air quality in Germany as a contributing factor to morbidity from COVID-19 |pdf=|usr=}}{{35841971}} gab.com Text Air quality in Germany as a contributing factor to morbidity from COVID-19 JO: Environ Res http://www.kidney.de/pget.php?&tw=1&pmid=35841971 #FOAvip BACKGROUND: The SARS-CoV-2 virus has been spreading in Germany since January 2020, with regional differences in incidence, morbidity, and mortality. Long-term exposure to air pollutants as nitrogen dioxide (NO(2)), nitrogen monoxide (NO), ozone (O(3)), and particulate matter (<10 mum PM(10), <2.5 mum PM(2.5)) has a negative impact on respiratory functions. We analyze the association between long-term air pollution and the outcome of SARS-CoV-2 infections in Germany. METHODS: We conducted an observational study in Germany on county-level, investigating the association between long-term (2010-2019) air pollutant exposure (European Environment Agency, AirBase data set) and COVID-19 incidence, morbidity, and mortality rate during the first outbreak of SARS-CoV-2 (open source data Robert Koch Institute). We used negative binominal models, including adjustment for risk factors (age, sex, days since first COVID-19 case, population density, socio-economic and health parameters). RESULTS: After adjustment for risk factors in the tri-pollutant model (NO(2), O(3), PM(2.5)) an increase of 1 mug/m(3) NO(2) was associated with an increase of the need for intensive care due to COVID-19 by 4.2% (95% CI 1.011-1.074), and mechanical ventilation by 4.6% (95% CI 1.010-1.084). A tendency towards an association of NO(2) with COVID-19 incidence was indicated, as the results were just outside of the defined statistical significance (+1.6% (95% CI 1.000-1.032)). Long-term annual mean NO(2) level ranged from 4.6 mug/m(3) to 32 mug/m(3). CONCLUSIONS: Our results indicate that long-term NO(2) exposure may have increased susceptibility for COVID-19 morbidity in Germany. The results demonstrate the need to reduce ambient air pollution to improve public health. Twit Text FOAVip Air quality in Germany as a contributing factor to morbidity from COVID-19 ????Environ Res http://www.kidney.de/pget.php?&tw=1&pmid=35841971 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=35841971 #FOAvip English Wikipedia <ref>{{Cite pmid|35841971}}</ref> Air quality in Germany as a contributing factor to morbidity from COVID-19 #MMPMID35841971 Koch S; Hoffmann C; Caseiro A; Ledebur M; Menk M; von Schneidemesser E Environ Res 2022[Nov]; 214 (Pt 2): 113896 PMID35841971show ga BACKGROUND: The SARS-CoV-2 virus has been spreading in Germany since January 2020, with regional differences in incidence, morbidity, and mortality. Long-term exposure to air pollutants as nitrogen dioxide (NO(2)), nitrogen monoxide (NO), ozone (O(3)), and particulate matter (<10 mum PM(10), <2.5 mum PM(2.5)) has a negative impact on respiratory functions. We analyze the association between long-term air pollution and the outcome of SARS-CoV-2 infections in Germany. METHODS: We conducted an observational study in Germany on county-level, investigating the association between long-term (2010-2019) air pollutant exposure (European Environment Agency, AirBase data set) and COVID-19 incidence, morbidity, and mortality rate during the first outbreak of SARS-CoV-2 (open source data Robert Koch Institute). We used negative binominal models, including adjustment for risk factors (age, sex, days since first COVID-19 case, population density, socio-economic and health parameters). RESULTS: After adjustment for risk factors in the tri-pollutant model (NO(2), O(3), PM(2.5)) an increase of 1 mug/m(3) NO(2) was associated with an increase of the need for intensive care due to COVID-19 by 4.2% (95% CI 1.011-1.074), and mechanical ventilation by 4.6% (95% CI 1.010-1.084). A tendency towards an association of NO(2) with COVID-19 incidence was indicated, as the results were just outside of the defined statistical significance (+1.6% (95% CI 1.000-1.032)). Long-term annual mean NO(2) level ranged from 4.6 mug/m(3) to 32 mug/m(3). CONCLUSIONS: Our results indicate that long-term NO(2) exposure may have increased susceptibility for COVID-19 morbidity in Germany. The results demonstrate the need to reduce ambient air pollution to improve public health. |*Air Pollutants/analysis/toxicity[MESH] |*Air Pollution/adverse effects/analysis[MESH] |*COVID-19/epidemiology[MESH] |Environmental Exposure/analysis[MESH] |Germany/epidemiology[MESH] |Humans[MESH] |Incidence[MESH] |Nitrogen Dioxide/analysis/toxicity[MESH] |Particulate Matter/analysis/toxicity[MESH]Air quality in Germany as a contributing factor to morbidity from COVI(epmc).pdf DeepDyve Pubget Overpricing