Author Correction: An extended Weight Kernel Density Estimation model forecasts COVID-19 onset risk and identifies spatiotemporal variations of lockdown effects in China

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

Bibliographic Details
Main Authors: Wenzhong Shi, Chengzhuo Tong, Anshu Zhang, Bin Wang, Zhicheng Shi, Yepeng Yao, Peng Jia
Format: Article
Language:English
Published: Nature Publishing Group 2021-03-01
Series:Communications Biology
Online Access:https://doi.org/10.1038/s42003-021-01924-6
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spelling doaj-bf28145428da49308f635ed1a57aa93a2021-03-28T11:24:16ZengNature Publishing GroupCommunications 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
collection DOAJ
language English
format Article
sources DOAJ
author Wenzhong Shi
Chengzhuo Tong
Anshu Zhang
Bin Wang
Zhicheng Shi
Yepeng Yao
Peng Jia
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
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 Publishing Group
series Communications Biology
issn 2399-3642
publishDate 2021-03-01
description A Correction to this paper has been published: https://doi.org/10.1038/s42003-021-01924-6
url https://doi.org/10.1038/s42003-021-01924-6
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