A global association between Covid-19 cases and airborne particulate matter at regional level
Abstract Evidences of an association between air pollution and Covid-19 infections are mixed and inconclusive. We conducted an ecological analysis at regional scale of long-term exposure to air-borne particle matter and spread of Covid-19 cases during the first wave of epidemics. Global air pollutio...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2021-03-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-021-85751-z |
| _version_ | 1830194387951288320 |
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| author | Angelo Solimini F. Filipponi D. Alunni Fegatelli B. Caputo C. M. De Marco A. Spagnoli A. R. Vestri |
| author_facet | Angelo Solimini F. Filipponi D. Alunni Fegatelli B. Caputo C. M. De Marco A. Spagnoli A. R. Vestri |
| author_sort | Angelo Solimini |
| collection | DOAJ |
| description | Abstract Evidences of an association between air pollution and Covid-19 infections are mixed and inconclusive. We conducted an ecological analysis at regional scale of long-term exposure to air-borne particle matter and spread of Covid-19 cases during the first wave of epidemics. Global air pollution and climate data were calculated from satellite earth observation data assimilated into numerical models at 10 km resolution. Main outcome was defined as the cumulative number of cases of Covid-19 in the 14 days following the date when > 10 cumulative cases were reported. Negative binomial mixed effect models were applied to estimate the associations between the outcome and long-term exposure to air pollution at the regional level (PM10, PM2.5), after adjusting for relevant regional and country level covariates and spatial correlation. In total we collected 237,749 Covid-19 cases from 730 regions, 63 countries and 5 continents at May 30, 2020. A 10 μg/m3 increase of pollution level was associated with 8.1% (95% CI 5.4%, 10.5%) and 11.5% (95% CI 7.8%, 14.9%) increases in the number of cases in a 14 days window, for PM2.5 and PM10 respectively. We found an association between Covid-19 cases and air pollution suggestive of a possible causal link among particulate matter levels and incidence of COVID-19. |
| first_indexed | 2024-12-18T00:29:26Z |
| format | Article |
| id | doaj.art-6a32ab4f33264dcb8a5a6e788eac4283 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-12-18T00:29:26Z |
| publishDate | 2021-03-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-6a32ab4f33264dcb8a5a6e788eac42832022-12-21T21:27:10ZengNature PortfolioScientific Reports2045-23222021-03-011111710.1038/s41598-021-85751-zA global association between Covid-19 cases and airborne particulate matter at regional levelAngelo Solimini0F. Filipponi1D. Alunni Fegatelli2B. Caputo3C. M. De Marco4A. Spagnoli5A. R. Vestri6Department of Public Health and Infectious Diseases, Sapienza University of RomeInstitute for Environmental Protection and Research (ISPRA)Department of Public Health and Infectious Diseases, Sapienza University of RomeDepartment of Public Health and Infectious Diseases, Sapienza University of RomeDepartment of Public Health and Infectious Diseases, Sapienza University of RomeDepartment of Public Health and Infectious Diseases, Sapienza University of RomeDepartment of Public Health and Infectious Diseases, Sapienza University of RomeAbstract Evidences of an association between air pollution and Covid-19 infections are mixed and inconclusive. We conducted an ecological analysis at regional scale of long-term exposure to air-borne particle matter and spread of Covid-19 cases during the first wave of epidemics. Global air pollution and climate data were calculated from satellite earth observation data assimilated into numerical models at 10 km resolution. Main outcome was defined as the cumulative number of cases of Covid-19 in the 14 days following the date when > 10 cumulative cases were reported. Negative binomial mixed effect models were applied to estimate the associations between the outcome and long-term exposure to air pollution at the regional level (PM10, PM2.5), after adjusting for relevant regional and country level covariates and spatial correlation. In total we collected 237,749 Covid-19 cases from 730 regions, 63 countries and 5 continents at May 30, 2020. A 10 μg/m3 increase of pollution level was associated with 8.1% (95% CI 5.4%, 10.5%) and 11.5% (95% CI 7.8%, 14.9%) increases in the number of cases in a 14 days window, for PM2.5 and PM10 respectively. We found an association between Covid-19 cases and air pollution suggestive of a possible causal link among particulate matter levels and incidence of COVID-19.https://doi.org/10.1038/s41598-021-85751-z |
| spellingShingle | Angelo Solimini F. Filipponi D. Alunni Fegatelli B. Caputo C. M. De Marco A. Spagnoli A. R. Vestri A global association between Covid-19 cases and airborne particulate matter at regional level Scientific Reports |
| title | A global association between Covid-19 cases and airborne particulate matter at regional level |
| title_full | A global association between Covid-19 cases and airborne particulate matter at regional level |
| title_fullStr | A global association between Covid-19 cases and airborne particulate matter at regional level |
| title_full_unstemmed | A global association between Covid-19 cases and airborne particulate matter at regional level |
| title_short | A global association between Covid-19 cases and airborne particulate matter at regional level |
| title_sort | global association between covid 19 cases and airborne particulate matter at regional level |
| url | https://doi.org/10.1038/s41598-021-85751-z |
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