Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/91127
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dc.contributorDepartment of Land Surveying and Geo-Informatics-
dc.creatorYang, SJ-
dc.creatorDai, SQ-
dc.creatorHuang, YL-
dc.creatorJia, P-
dc.date.accessioned2021-09-09T03:39:55Z-
dc.date.available2021-09-09T03:39:55Z-
dc.identifier.issn2296-2565-
dc.identifier.urihttp://hdl.handle.net/10397/91127-
dc.language.isoenen_US
dc.publisherFrontiers Research Foundationen_US
dc.rights© 2021 Yang, Dai, Huang and Jia.en_US
dc.rightsThis is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.en_US
dc.rightsThe following publication Yang S, Dai S, Huang Y and Jia P (2021) Pitfalls in Modeling Asymptomatic COVID-19 Infection. Front. Public Health 9:593176 is available at doi: https://doi.org/10.3389/fpubh.2021.593176en_US
dc.subjectCOVID-19en_US
dc.subjectEpidemiologyen_US
dc.subjectAsymptomatic infectionen_US
dc.subjectDisease modelingen_US
dc.subjectDisease transmissionen_US
dc.titlePitfalls in modeling asymptomatic COVID-19 infectionen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume9-
dc.identifier.doi10.3389/fpubh.2021.593176-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationFrontiers in public health, Apr. 2021, v. 9, 593176-
dcterms.isPartOfFrontiers in public health-
dcterms.issued2021-04-
dc.identifier.isiWOS:000643688700001-
dc.identifier.pmid33912527-
dc.identifier.artn593176-
dc.description.validate202109 bchy-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.pubStatusPublisheden_US
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