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

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Detalles Bibliográficos
Autores principales:	Wenzhong Shi, Chengzhuo Tong, Anshu Zhang, Bin Wang, Zhicheng Shi, Yepeng Yao, Peng Jia
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/bf28145428da49308f635ed1a57aa93a
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spelling	oai:doaj.org-article:bf28145428da49308f635ed1a57aa93a2021-12-02T13:24:24ZAuthor Correction: An extended Weight Kernel Density Estimation model forecasts COVID-19 onset risk and identifies spatiotemporal variations of lockdown effects in China10.1038/s42003-021-01924-62399-3642https://doaj.org/article/bf28145428da49308f635ed1a57aa93a2021-03-01T00:00:00Zhttps://doi.org/10.1038/s42003-021-01924-6https://doaj.org/toc/2399-3642A Correction to this paper has been published: https://doi.org/10.1038/s42003-021-01924-6Wenzhong ShiChengzhuo TongAnshu ZhangBin WangZhicheng ShiYepeng YaoPeng JiaNature PortfolioarticleBiology (General)QH301-705.5ENCommunications Biology, Vol 4, Iss 1, Pp 1-8 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 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
description	A Correction to this paper has been published: https://doi.org/10.1038/s42003-021-01924-6
format	article
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
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_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_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_sort	author correction: an extended weight kernel density estimation model forecasts covid-19 onset risk and identifies spatiotemporal variations of lockdown effects in china
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/bf28145428da49308f635ed1a57aa93a
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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

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