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Cited by 1,078

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

COVID-19 pandemic and environmental pollution: A blessing in disguise?

Open access
Muhammad, Sulaman, Long, Xingle, Salman, Muhammad·2020·Science of The Total Environment

Abstract

In late 2019, a novel infectious disease with human to human transmission (COVID-19) was identified in Wuhan China, which now has turned into a global pandemic. Countries all over the world have implemented some sort of lockdown to slow down its infection and mitigate it. Lockdown due to COVID-19 has drastic effects on social and economic fronts. However, this lockdown also has some positive effect on natural environment. Recent data released by NASA (National Aeronautics and Space Administration) and ESA (European Space Agency) indicates that pollution in some of the epicenters of COVID-19 such as Wuhan, Italy, Spain and USA etc. has reduced up to 30%. This study compiled the environmental data released by NASA and ESA before and after the coronavirus pandemic and discusses its impact on environmental quality.

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Crossref · 10.1016/j.scitotenv.2020.138820

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Metadata

Authors
Muhammad, S., Long, X., & Salman, M.
Venue
Science of The Total Environment
Publisher
Elsevier BV
Published
2020-08
Volume
728
Pages
138820
ISSN
0048-9697 (ISSN-L)
OpenAlex
W3016605542
Cited by
1,078
References
2
FWCI
85.56
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: COVID-19 pandemic and environmental pollution: A blessing in disguise? https://app.cochat.ai/papers/10.1016/j.scitotenv.2020.138820
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Muhammad, S., Long, X., & Salman, M. (2020). COVID-19 pandemic and environmental pollution: A blessing in disguise? Science of The Total Environment. https://doi.org/10.1016/j.scitotenv.2020.138820

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.