Author Correction: An extended Weight Kernel Density Estimation model forecasts COVID-19 onset risk and identifies spatiotemporal variations of lockdown effects in China
A Correction to this paper has been published: https://doi.org/10.1038/s42003-021-01924-6
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2021-03-01
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| Series: | Communications Biology |
| Online Access: | https://doi.org/10.1038/s42003-021-01924-6 |
| _version_ | 1823958071161913344 |
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| author | Wenzhong Shi Chengzhuo Tong Anshu Zhang Bin Wang Zhicheng Shi Yepeng Yao Peng Jia |
| author_facet | Wenzhong Shi Chengzhuo Tong Anshu Zhang Bin Wang Zhicheng Shi Yepeng Yao Peng Jia |
| author_sort | Wenzhong Shi |
| collection | DOAJ |
| description | A Correction to this paper has been published: https://doi.org/10.1038/s42003-021-01924-6 |
| first_indexed | 2024-12-17T16:11:43Z |
| format | Article |
| id | doaj.art-bf28145428da49308f635ed1a57aa93a |
| institution | Directory Open Access Journal |
| issn | 2399-3642 |
| language | English |
| last_indexed | 2024-12-17T16:11:43Z |
| publishDate | 2021-03-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Communications Biology |
| spelling | doaj.art-bf28145428da49308f635ed1a57aa93a2022-12-21T21:41:47ZengNature PortfolioCommunications Biology2399-36422021-03-01411810.1038/s42003-021-01924-6Author Correction: An extended Weight Kernel Density Estimation model forecasts COVID-19 onset risk and identifies spatiotemporal variations of lockdown effects in ChinaWenzhong Shi0Chengzhuo Tong1Anshu Zhang2Bin Wang3Zhicheng Shi4Yepeng Yao5Peng Jia6Smart Cities Research Institute, Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic UniversitySmart Cities Research Institute, Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic UniversitySmart Cities Research Institute, Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic UniversityCollege of Oceanography and Space Informatics, China University of PetroleumResearch Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen UniversitySmart Cities Research Institute, Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic UniversitySmart Cities Research Institute, Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic UniversityA Correction to this paper has been published: https://doi.org/10.1038/s42003-021-01924-6https://doi.org/10.1038/s42003-021-01924-6 |
| spellingShingle | Wenzhong Shi Chengzhuo Tong Anshu Zhang Bin Wang Zhicheng Shi Yepeng Yao Peng Jia 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 |
| title | Author Correction: An extended Weight Kernel Density Estimation model forecasts COVID-19 onset risk and identifies spatiotemporal variations of lockdown effects in China |
| title_full | Author Correction: An extended Weight Kernel Density Estimation model forecasts COVID-19 onset risk and identifies spatiotemporal variations of lockdown effects in China |
| title_fullStr | Author Correction: An extended Weight Kernel Density Estimation model forecasts COVID-19 onset risk and identifies spatiotemporal variations of lockdown effects in China |
| title_full_unstemmed | Author Correction: An extended Weight Kernel Density Estimation model forecasts COVID-19 onset risk and identifies spatiotemporal variations of lockdown effects in China |
| title_short | Author Correction: An extended Weight Kernel Density Estimation model forecasts COVID-19 onset risk and identifies spatiotemporal variations of lockdown effects in China |
| title_sort | author correction an extended weight kernel density estimation model forecasts covid 19 onset risk and identifies spatiotemporal variations of lockdown effects in china |
| url | https://doi.org/10.1038/s42003-021-01924-6 |
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