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

Singh R.K., Drews M., De la Sen M., Srivastava P.K., Trisasongko B.H., Kumar M., Pandey M.K., Anand A., Singh S.S., Pandey A.K., Dobriyal M., Rani M., Kumar P.

Department of Natural Resources, TERI School of Advanced Studies, New Delhi, 110070, India; Department of Technology, Management and Economics, Technical University of Denmark, Kgs. Lyngby, 2800, Denmark; Department of Electricity and Electronics, Institute of Research and Development of Processes IIDP, University of the Basque Country, Campus of Leioa, PO Box 48940, Leioa (Bizkaia), Spain; Remote Sensing Laboratory, Institute of Environment and Sustainable Development, Banaras Hindu University, Varanasi, Uttar Pradesh 221005, India; DST-Mahamana Centre of Excellence in Climate Change Research, Institute of Environment and Sustainable Development, Banaras Hindu University, Varanasi, Uttar Pradesh 221005, India; Department of Soil Science and Land Resource and Geospatial Information and Technologies for the Integrative and Intelligent Agriculture (GITIIA), Bogor Agricultural University, Bogor, 16680, Indonesia; GIS Centre, Forest Research Institute (FRI), PO: New Forest, Dehradun, 248006, India; Directorate of Extension Education, Rani Lakshmi Bai Central Agricultural University, Jhansi, 284003, India; College of Horticulture and Forestry, Rani Lakshmi Bai Central Agricultural University, Jhansi, 284003, India; Department of Geography, Kumaun University, Nainital, Uttarakhand 263001, India


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. © 2021, The Author(s).


Journal

Scientific Reports

Publisher: Nature Research

Volume 11, Issue 1, Art No 8363, Page – , Page Count


Journal Link: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104461286&doi=10.1038%2fs41598-021-87877-6&partnerID=40&md5=a0dcff1f806446711bf119450245aeb9

doi: 10.1038/s41598-021-87877-6

Issn: 20452322

Type: All Open Access, Gold, Green


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