Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/91263
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dc.contributorSchool of Nursingen_US
dc.contributorDepartment of Applied Mathematicsen_US
dc.creatorRan, Jen_US
dc.creatorZhao, Sen_US
dc.creatorHan, Len_US
dc.creatorChen, Den_US
dc.creatorYang, Zen_US
dc.creatorYang, Len_US
dc.creatorWang, MHen_US
dc.creatorHe, Den_US
dc.date.accessioned2021-10-26T04:02:23Z-
dc.date.available2021-10-26T04:02:23Z-
dc.identifier.issn0163-4453en_US
dc.identifier.urihttp://hdl.handle.net/10397/91263-
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.rights© 2020 The British Infection Association. Published by Elsevier Ltd. All rights reserved.en_US
dc.rights© 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.subjectAir pollutionen_US
dc.subjectChinaen_US
dc.subjectCOVID-19en_US
dc.subjectOzoneen_US
dc.subjectReproduction numberen_US
dc.titleThe ambient ozone and COVID-19 transmissibility in China : a data-driven ecological study of 154 citiesen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spagee9en_US
dc.identifier.epagee11en_US
dc.identifier.volume81en_US
dc.identifier.issue3en_US
dc.identifier.doi10.1016/j.jinf.2020.07.011en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of infection, Sept. 2020, v. 81, no. 3, p. e9-e11en_US
dcterms.isPartOfJournal of infectionen_US
dcterms.issued2020-09-
dc.identifier.scopus2-s2.0-85088381061-
dc.identifier.pmid32652165-
dc.identifier.eissn1532-2742en_US
dc.description.validate202110 bcvcen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera0982-n17-
dc.identifier.SubFormID2276-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextP0031768en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
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