reference/31155474

http://rdf.ncbi.nlm.nih.gov/pubchem/reference/31155474

Outgoing Links

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contentType	Letter\|Research Support, Non-U.S. Gov't
endingPage	e11
issn	0163-4453
issueIdentifier	3
pageRange	e9-e11
publicationName	The Journal of infection
startingPage	e9
bibliographicCitation	Ran J, Zhao S, Han L, Chen D, Yang Z, Yang L, Wang MH, He D. The ambient ozone and COVID-19 transmissibility in China: A data-driven ecological study of 154 cities. Journal of Infection. 2020 Sep;81(3):e9–e11. doi: 10.1016/j.jinf.2020.07.011.
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date	202009
identifier	https://pubmed.ncbi.nlm.nih.gov/PMC7342057 https://pubmed.ncbi.nlm.nih.gov/32652165 https://doi.org/10.1016/j.jinf.2020.07.011
isPartOf	http://rdf.ncbi.nlm.nih.gov/pubchem/journal/4825 https://portal.issn.org/resource/ISSN/0163-4453
language	English
source	https://pubmed.ncbi.nlm.nih.gov/ https://www.crossref.org/
title	The ambient ozone and COVID-19 transmissibility in China: A data-driven ecological study of 154 cities
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Total number of triples: 43.