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Author Correction: An extended Weight Kernel Density Estimation model forecasts COVID-19 onset risk and identifies spatiotemporal variations of lockdown effects in China
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7983099/ https://www.ncbi.nlm.nih.gov/pubmed/33753843 http://dx.doi.org/10.1038/s42003-021-01924-6 |
| _version_ | 1783667848977055744 |
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| author | Shi, Wenzhong Tong, Chengzhuo Zhang, Anshu Wang, Bin Shi, Zhicheng Yao, Yepeng Jia, Peng |
| author_facet | Shi, Wenzhong Tong, Chengzhuo Zhang, Anshu Wang, Bin Shi, Zhicheng Yao, Yepeng Jia, Peng |
| author_sort | Shi, Wenzhong |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-7983099 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2021 |
| publisher | Nature Publishing Group UK |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-79830992021-03-23 Author Correction: An extended Weight Kernel Density Estimation model forecasts COVID-19 onset risk and identifies spatiotemporal variations of lockdown effects in China Shi, Wenzhong Tong, Chengzhuo Zhang, Anshu Wang, Bin Shi, Zhicheng Yao, Yepeng Jia, Peng Commun Biol Author Correction Nature Publishing Group UK 2021-03-22 /pmc/articles/PMC7983099/ /pubmed/33753843 http://dx.doi.org/10.1038/s42003-021-01924-6 Text en © The Author(s) 2021 Open Access 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/. |
| spellingShingle | Author Correction Shi, Wenzhong Tong, Chengzhuo Zhang, Anshu Wang, Bin Shi, Zhicheng Yao, Yepeng Jia, Peng Author Correction: An extended Weight Kernel Density Estimation model forecasts COVID-19 onset risk and identifies spatiotemporal variations of lockdown effects in China |
| 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 |
| topic | Author Correction |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7983099/ https://www.ncbi.nlm.nih.gov/pubmed/33753843 http://dx.doi.org/10.1038/s42003-021-01924-6 |
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