Highlighting the compound risk of COVID-19 and environmental pollutants using geospatial technology

Abstract The new COVID-19 coronavirus disease has emerged as a global threat and not just to human health but also the global economy. Due to the pandemic, most countries affected have therefore imposed periods of full or partial lockdowns to restrict community transmission. This has had the welcome...

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Autores principales:	Ram Kumar Singh, Martin Drews, Manuel De la Sen, Prashant Kumar Srivastava, Bambang H. Trisasongko, Manoj Kumar, Manish Kumar Pandey, Akash Anand, S. S. Singh, A. K. Pandey, Manmohan Dobriyal, Meenu Rani, Pavan Kumar
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/c0ca64ced2894a5c92ef817772c28fb5
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spelling	oai:doaj.org-article:c0ca64ced2894a5c92ef817772c28fb52021-12-02T15:51:13ZHighlighting the compound risk of COVID-19 and environmental pollutants using geospatial technology10.1038/s41598-021-87877-62045-2322https://doaj.org/article/c0ca64ced2894a5c92ef817772c28fb52021-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-87877-6https://doaj.org/toc/2045-2322Abstract The new COVID-19 coronavirus disease has emerged as a global threat and not just to human health but also the global economy. Due to the pandemic, most countries affected have therefore imposed periods of full or partial lockdowns to restrict community transmission. This has had the welcome but unexpected side effect that existing levels of atmospheric pollutants, particularly in cities, have temporarily declined. As found by several authors, air quality can inherently exacerbate the risks linked to respiratory diseases, including COVID-19. In this study, we explore patterns of air pollution for ten of the most affected countries in the world, in the context of the 2020 development of the COVID-19 pandemic. We find that the concentrations of some of the principal atmospheric pollutants were temporarily reduced during the extensive lockdowns in the spring. Secondly, we show that the seasonality of the atmospheric pollutants is not significantly affected by these temporary changes, indicating that observed variations in COVID-19 conditions are likely to be linked to air quality. On this background, we confirm that air pollution may be a good predictor for the local and national severity of COVID-19 infections.Ram Kumar SinghMartin DrewsManuel De la SenPrashant Kumar SrivastavaBambang H. TrisasongkoManoj KumarManish Kumar PandeyAkash AnandS. S. SinghA. K. PandeyManmohan DobriyalMeenu RaniPavan KumarNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Ram Kumar Singh Martin Drews Manuel De la Sen Prashant Kumar Srivastava Bambang H. Trisasongko Manoj Kumar Manish Kumar Pandey Akash Anand S. S. Singh A. K. Pandey Manmohan Dobriyal Meenu Rani Pavan Kumar Highlighting the compound risk of COVID-19 and environmental pollutants using geospatial technology
description	Abstract The new COVID-19 coronavirus disease has emerged as a global threat and not just to human health but also the global economy. Due to the pandemic, most countries affected have therefore imposed periods of full or partial lockdowns to restrict community transmission. This has had the welcome but unexpected side effect that existing levels of atmospheric pollutants, particularly in cities, have temporarily declined. As found by several authors, air quality can inherently exacerbate the risks linked to respiratory diseases, including COVID-19. In this study, we explore patterns of air pollution for ten of the most affected countries in the world, in the context of the 2020 development of the COVID-19 pandemic. We find that the concentrations of some of the principal atmospheric pollutants were temporarily reduced during the extensive lockdowns in the spring. Secondly, we show that the seasonality of the atmospheric pollutants is not significantly affected by these temporary changes, indicating that observed variations in COVID-19 conditions are likely to be linked to air quality. On this background, we confirm that air pollution may be a good predictor for the local and national severity of COVID-19 infections.
format	article
author	Ram Kumar Singh Martin Drews Manuel De la Sen Prashant Kumar Srivastava Bambang H. Trisasongko Manoj Kumar Manish Kumar Pandey Akash Anand S. S. Singh A. K. Pandey Manmohan Dobriyal Meenu Rani Pavan Kumar
author_facet	Ram Kumar Singh Martin Drews Manuel De la Sen Prashant Kumar Srivastava Bambang H. Trisasongko Manoj Kumar Manish Kumar Pandey Akash Anand S. S. Singh A. K. Pandey Manmohan Dobriyal Meenu Rani Pavan Kumar
author_sort	Ram Kumar Singh
title	Highlighting the compound risk of COVID-19 and environmental pollutants using geospatial technology
title_short	Highlighting the compound risk of COVID-19 and environmental pollutants using geospatial technology
title_full	Highlighting the compound risk of COVID-19 and environmental pollutants using geospatial technology
title_fullStr	Highlighting the compound risk of COVID-19 and environmental pollutants using geospatial technology
title_full_unstemmed	Highlighting the compound risk of COVID-19 and environmental pollutants using geospatial technology
title_sort	highlighting the compound risk of covid-19 and environmental pollutants using geospatial technology
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/c0ca64ced2894a5c92ef817772c28fb5
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Highlighting the compound risk of COVID-19 and environmental pollutants using geospatial technology

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