Air pollution aggravating COVID-19 lethality? Exploration in Asian cities using statistical models
The present work estimates the increased risk of coronavirus disease (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 by establishing the linkage between the mortality rate in the infected cases and the air pollution, specifically Particulate Matters (PM) with aerodynamic diamete...
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Published in | Environment, development and sustainability Vol. 23; no. 4; pp. 6408 - 6417 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Dordrecht
Springer Netherlands
01.04.2021
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
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Summary: | The present work estimates the increased risk of coronavirus disease (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 by establishing the linkage between the mortality rate in the infected cases and the air pollution, specifically Particulate Matters (PM) with aerodynamic diameters ≤ 10 µm and ≤ 2.5 µm. Data related to nine Asian cities are analyzed using statistical approaches, including the analysis of variance and regression model. The present work suggests that there exists a positive correlation between the level of air pollution of a region and the lethality related to COVID-19, indicating air pollution to be an elemental and concealed factor in aggravating the global burden of deaths related to COVID-19. Past exposures to high level of PM
2.5
over a long period, is found to significantly correlate with present COVID-19 mortality per unit reported cases (
p
< 0.05) compared to PM
10
, with non-significant correlation (
p
= 0.118). The finding of the study can help government agencies, health ministries and policymakers globally to take proactive steps by promoting immunity-boosting supplements and appropriate masks to reduce the risks associated with COVID-19 in highly polluted areas. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
ISSN: | 1387-585X 1573-2975 1573-2975 |
DOI: | 10.1007/s10668-020-00878-9 |