Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/90815
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dc.contributorDepartment of Land Surveying and Geo-Informatics-
dc.creatorShi, W-
dc.creatorTong, C-
dc.creatorZhang, A-
dc.creatorWang, B-
dc.creatorShi, Z-
dc.creatorYao, Y-
dc.creatorJia, P-
dc.date.accessioned2021-09-03T02:34:13Z-
dc.date.available2021-09-03T02:34:13Z-
dc.identifier.urihttp://hdl.handle.net/10397/90815-
dc.language.isoenen_US
dc.publisherNature Publishing Groupen_US
dc.rights© The Author(s) 2021 This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.en_US
dc.rightsThe following publication Shi, W., Tong, C., Zhang, A., Wang, B., Shi, Z., Yao, Y., & Jia, P. (2021). Author Correction: An extended Weight Kernel Density Estimation model forecasts COVID-19 onset risk and identifies spatiotemporal variations of lockdown effects in China. Communications Biology, 4(1), 1-8 is available at https://doi.org/10.1038/s42003-021-01924-6en_US
dc.titleAuthor correction : An extended weight kernel density estimation model forecasts COVID-19 onset risk and identifies spatiotemporal variations of lockdown effects in Chinaen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume4-
dc.identifier.issue1-
dc.identifier.doi10.1038/s42003-021-01924-6-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationCommunications biology, 2021, v. 4, no. 1, 418-
dcterms.isPartOfCommunications biology-
dcterms.issued2021-
dc.identifier.scopus2-s2.0-85102788770-
dc.identifier.pmid33753843-
dc.identifier.eissn2399-3642-
dc.identifier.artn418-
dc.description.validate202109 bcvc-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.pubStatusPublisheden_US
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