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      Air Pollution Is Associated with COVID-19 Incidence and Mortality in Vienna, Austria

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          Abstract

          We determined the impact of air pollution on COVID-19-related mortality and reported-case incidence, analyzing the correlation of infection case numbers and outcomes with previous-year air pollution data from the populations of 23 Viennese districts. Time at risk started in a district when the first COVID-19 case was diagnosed. High exposure levels were defined as living in a district with an average (year 2019) concentration of nitrogen dioxide (NO 2) and/or particulate matter (PM10) higher than the upper quartile (30 and 20 µg/m 3, respectively) of all districts. The total population of the individual districts was followed until diagnosis of or death from COVID-19, or until 21 April 2020, whichever came first. Cox proportional hazard regression was performed after controlling for percentage of population aged 65 and more, percentage of foreigners and of persons with a university degree, unemployment rate, and population density. PM10 and NO 2 were significantly and positively associated with the risk of a COVID-19 diagnosis (hazard ratio (HR) = 1.44 and 1.16, respectively). NO 2 was also significantly associated with death from COVID-19 (HR = 1.72). Even within a single city, higher levels of air pollution are associated with an adverse impact on COVID-19 risk.

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          Most cited references38

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          Association between short-term exposure to air pollution and COVID-19 infection: Evidence from China

          The novel coronavirus pneumonia, namely COVID-19, has become a global public health problem. Previous studies have found that air pollution is a risk factor for respiratory infection by carrying microorganisms and affecting body's immunity. This study aimed to explore the relationship between ambient air pollutants and the infection caused by the novel coronavirus. Daily confirmed cases, air pollution concentration and meteorological variables in 120 cities were obtained from January 23, 2020 to February 29, 2020 in China. We applied a generalized additive model to investigate the associations of six air pollutants (PM2.5, PM10, SO2, CO, NO2 and O3) with COVID-19 confirmed cases. We observed significantly positive associations of PM2.5, PM10, NO2 and O3 in the last two weeks with newly COVID-19 confirmed cases. A 10-μg/m3 increase (lag0–14) in PM2.5, PM10, NO2, and O3 was associated with a 2.24% (95% CI: 1.02 to 3.46), 1.76% (95% CI: 0.89 to 2.63), 6.94% (95% CI: 2.38 to 11.51), and 4.76% (95% CI: 1.99 to 7.52) increase in the daily counts of confirmed cases, respectively. However, a 10-μg/m3 increase (lag0–14) in SO2 was associated with a 7.79% decrease (95% CI: −14.57 to −1.01) in COVID-19 confirmed cases. Our results indicate that there is a significant relationship between air pollution and COVID-19 infection, which could partially explain the effect of national lockdown and provide implications for the control and prevention of this novel disease.
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            Can atmospheric pollution be considered a co-factor in extremely high level of SARS-CoV-2 lethality in Northern Italy? ☆

            This paper investigates the correlation between the high level of Severe Acute Respiratory Syndrome CoronaVirus 2 (SARS-CoV-2) lethality and the atmospheric pollution in Northern Italy. Indeed, Lombardy and Emilia Romagna are Italian regions with both the highest level of virus lethality in the world and one of Europe’s most polluted area. Based on this correlation, this paper analyzes the possible link between pollution and the development of acute respiratory distress syndrome and eventually death. We provide evidence that people living in an area with high levels of pollutant are more prone to develop chronic respiratory conditions and suitable to any infective agent. Moreover, a prolonged exposure to air pollution leads to a chronic inflammatory stimulus, even in young and healthy subjects. We conclude that the high level of pollution in Northern Italy should be considered an additional co-factor of the high level of lethality recorded in that area.
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              Assessing nitrogen dioxide (NO 2 ) levels as a contributing factor to the coronavirus (COVID-19) fatality rate

              Yaron Ogen (2020)
              Nitrogen dioxide (NO2) is an ambient trace-gas as a result of both natural and anthropogenic processes. Long-term exposure to NO2 may cause a wide spectrum of severe health problems such as hypertension, diabetes, heart and cardiovascular diseases and even death. The objective of this study is to examine the relationship between long-term exposure to NO2 and fatality caused by the coronavirus. The Sentinel-5P is used for mapping the tropospheric NO2 distribution and the NCEP/NCAR reanalysis for evaluating the atmospheric capability to disperse the pollution. The spatial analysis has been conducted on a regional scale and combined with the number of death cases taken from 66 administrative regions in Italy, Spain, France and Germany. Results show that out of the 4443 fatality cases, 3487 (78%) were in five regions located in north Italy and central Spain. Additionally, the same five regions show the highest NO2 concentrations combined with downwards airflow which prevent an efficient dispersion of air pollution. These results indicate that the long-term exposure to this pollutant may be one of the most important contributors to fatality caused by the COVID-19 in these regions and maybe across the whole world.
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                Author and article information

                Journal
                Int J Environ Res Public Health
                Int J Environ Res Public Health
                ijerph
                International Journal of Environmental Research and Public Health
                MDPI
                1661-7827
                1660-4601
                11 December 2020
                December 2020
                : 17
                : 24
                : 9275
                Affiliations
                [1 ]Center for Public Health, Department of Environmental Health, Medical University of Vienna, 1090 Vienna, Austria; hans-peter.hutter@ 123456meduniwien.ac.at (H.-P.H.); hanns.moshammer@ 123456meduniwien.ac.at (H.M.); kathrin.lemmerer@ 123456meduniwien.ac.at (K.L.); lisbeth.weitensfelder@ 123456meduniwien.ac.at (L.W.); peter.wallner@ 123456meduniwien.ac.at (P.W.); michael.kundi@ 123456meduniwien.ac.at (M.K.)
                [2 ]Department of Hygiene, Medical University of Karakalpakstan, Nukus 230100, Uzbekistan
                [3 ]Institute of Meteorology and Climatology, University of Natural Resources and Life Sciences Vienna, 1180 Vienna, Austria; monika.mayer@ 123456boku.ac.at
                Author notes
                [* ]Correspondence: michael.poteser@ 123456meduniwien.ac.at ; Tel.: +43-1-40160-34915
                Author information
                https://orcid.org/0000-0002-9962-1098
                https://orcid.org/0000-0003-2235-0645
                https://orcid.org/0000-0002-2707-3213
                Article
                ijerph-17-09275
                10.3390/ijerph17249275
                7764269
                33322456
                5ce8a9eb-9f1c-4256-ac12-9e0aa2ca67d0
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 13 October 2020
                : 09 December 2020
                Categories
                Article

                Public health
                covid-19,pm10,no2,spatial air pollution differences,incidence,mortality
                Public health
                covid-19, pm10, no2, spatial air pollution differences, incidence, mortality

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