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Impact of population movement on the spread of 2019-nCoV in China

Since Dec 2019, China has experienced an outbreak caused by a novel coronavirus, 2019-nCoV. A travel ban was implemented for Wuhan, Hubei on Jan 23 to slow down the outbreak. We found a significant positive correlation between population influx from Wuhan and confirmed cases in other cities across C...

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Detalles Bibliográficos
Autores principales: Zhang, Chi, Chen, Cai, Shen, Wei, Tang, Feng, Lei, Hao, Xie, Yu, Cao, Zicheng, Tang, Kang, Bai, Junbo, Xiao, Lehan, Xu, Yutian, Song, Yanxin, Chen, Jiwei, Guo, Zhihui, Guo, Yichen, Wang, Xiao, Xu, Modi, Zou, Huachun, Shu, Yuelong, Du, Xiangjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7269026/
https://www.ncbi.nlm.nih.gov/pubmed/32321369
http://dx.doi.org/10.1080/22221751.2020.1760143
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author Zhang, Chi
Chen, Cai
Shen, Wei
Tang, Feng
Lei, Hao
Xie, Yu
Cao, Zicheng
Tang, Kang
Bai, Junbo
Xiao, Lehan
Xu, Yutian
Song, Yanxin
Chen, Jiwei
Guo, Zhihui
Guo, Yichen
Wang, Xiao
Xu, Modi
Zou, Huachun
Shu, Yuelong
Du, Xiangjun
author_facet Zhang, Chi
Chen, Cai
Shen, Wei
Tang, Feng
Lei, Hao
Xie, Yu
Cao, Zicheng
Tang, Kang
Bai, Junbo
Xiao, Lehan
Xu, Yutian
Song, Yanxin
Chen, Jiwei
Guo, Zhihui
Guo, Yichen
Wang, Xiao
Xu, Modi
Zou, Huachun
Shu, Yuelong
Du, Xiangjun
author_sort Zhang, Chi
collection PubMed
description Since Dec 2019, China has experienced an outbreak caused by a novel coronavirus, 2019-nCoV. A travel ban was implemented for Wuhan, Hubei on Jan 23 to slow down the outbreak. We found a significant positive correlation between population influx from Wuhan and confirmed cases in other cities across China (R(2) = 0.85, P < 0.001), especially cities in Hubei (R(2) = 0.88, P < 0.001). Removing the travel restriction would have increased 118% (91%–172%) of the overall cases for the coming week, and a travel ban taken three days or a week earlier would have reduced 47% (26%–58%) and 83% (78%–89%) of the early cases. We would expect a 61% (48%–92%) increase of overall cumulative cases without any restrictions on returning residents, and 11% (8%–16%) increase if the travel ban stays in place for Hubei. Cities from Yangtze River Delta, Pearl River Delta, and Capital Economic Circle regions are at higher risk.
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spelling pubmed-72690262020-06-11 Impact of population movement on the spread of 2019-nCoV in China Zhang, Chi Chen, Cai Shen, Wei Tang, Feng Lei, Hao Xie, Yu Cao, Zicheng Tang, Kang Bai, Junbo Xiao, Lehan Xu, Yutian Song, Yanxin Chen, Jiwei Guo, Zhihui Guo, Yichen Wang, Xiao Xu, Modi Zou, Huachun Shu, Yuelong Du, Xiangjun Emerg Microbes Infect Letter Since Dec 2019, China has experienced an outbreak caused by a novel coronavirus, 2019-nCoV. A travel ban was implemented for Wuhan, Hubei on Jan 23 to slow down the outbreak. We found a significant positive correlation between population influx from Wuhan and confirmed cases in other cities across China (R(2) = 0.85, P < 0.001), especially cities in Hubei (R(2) = 0.88, P < 0.001). Removing the travel restriction would have increased 118% (91%–172%) of the overall cases for the coming week, and a travel ban taken three days or a week earlier would have reduced 47% (26%–58%) and 83% (78%–89%) of the early cases. We would expect a 61% (48%–92%) increase of overall cumulative cases without any restrictions on returning residents, and 11% (8%–16%) increase if the travel ban stays in place for Hubei. Cities from Yangtze River Delta, Pearl River Delta, and Capital Economic Circle regions are at higher risk. Taylor & Francis 2020-05-18 /pmc/articles/PMC7269026/ /pubmed/32321369 http://dx.doi.org/10.1080/22221751.2020.1760143 Text en © 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group, on behalf of Shanghai Shangyixun Cultural Communication Co., Ltd https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Letter
Zhang, Chi
Chen, Cai
Shen, Wei
Tang, Feng
Lei, Hao
Xie, Yu
Cao, Zicheng
Tang, Kang
Bai, Junbo
Xiao, Lehan
Xu, Yutian
Song, Yanxin
Chen, Jiwei
Guo, Zhihui
Guo, Yichen
Wang, Xiao
Xu, Modi
Zou, Huachun
Shu, Yuelong
Du, Xiangjun
Impact of population movement on the spread of 2019-nCoV in China
title Impact of population movement on the spread of 2019-nCoV in China
title_full Impact of population movement on the spread of 2019-nCoV in China
title_fullStr Impact of population movement on the spread of 2019-nCoV in China
title_full_unstemmed Impact of population movement on the spread of 2019-nCoV in China
title_short Impact of population movement on the spread of 2019-nCoV in China
title_sort impact of population movement on the spread of 2019-ncov in china
topic Letter
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7269026/
https://www.ncbi.nlm.nih.gov/pubmed/32321369
http://dx.doi.org/10.1080/22221751.2020.1760143
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