About: Environmental indicator for effective control of COVID-19 spreading

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Environmental indicator for effective control of COVID-19 spreading
Creator	Zhang, Li Huang, Jianping Lian, Xinbo Liu, Chuwei
source	MedRxiv
abstract	Recently, a novel coronavirus (COVID-19) has caused viral pneumonia worldwide, spreading to more than 200 countries, posing a major threat to international health. To prevent the spread of COVID-19, in this study, we report that the city lockdown measure was an effective way to reduce the number of new cases, and the nitrogen dioxide (NO2) concentration can be adopted as an environmental lockdown indicator. In China, after strict city lockdown, the average NO2 concentration decreased 55.7% (95% confidence interval (CI): 51.5-59.6%) and the total number of confirmed new cases decreased significantly. We also determined that the global airborne NO2 concentration steeply decreased over the vast majority of COVID-19-hit areas based on satellite measurements. We found that if NO2 emissions significantly decreased, the total number of confirmed new cases reached an inflection point after approximately two weeks. Italy, Germany and France are good examples. Our results suggest that NO2 satellite measurement can help decision makers effectively monitor control regulations to reduce the spread of COVID-19.
has issue date	2020-05-16(xsd:dateTime)
bibo:doi	10.1101/2020.05.12.20099804
has license	medrxiv
sha1sum (hex)	b4f7a28da850040c4930481c3e9b66fd9916c161
schema:url	https://doi.org/10.1101/2020.05.12.20099804
resource representing a document's title	Environmental indicator for effective control of COVID-19 spreading
resource representing a document's body	covid:b4f7a28da850040c4930481c3e9b66fd9916c161#body_text
is schema:about of	named entity 'COVID-19' named entity 'CASES' named entity 'NOVEL CORONAVIRUS' named entity 'lockdown' named entity 'COVID-19' »more»

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