Spatiotemporal analysis of COVID-19 outbreaks in Wuhan, China

Abstract Few study has revealed spatial transmission characteristics of COVID-19 in Wuhan, China. We aimed to analyze the spatiotemporal spread of COVID-19 in Wuhan and its influence factors. Information of 32,682 COVID-19 cases reported through March 18 were extracted from the national infectious d...

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Autores principales:	Wei Liu, Dongming Wang, Shuiqiong Hua, Cong Xie, Bin Wang, Weihong Qiu, Tao Xu, Zi Ye, Linling Yu, Meng Yang, Yang Xiao, Xiaobing Feng, Tingming Shi, Mingyan Li, Weihong Chen
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/631f153beda6435ca085ba96abdfb766
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spelling	oai:doaj.org-article:631f153beda6435ca085ba96abdfb7662021-12-02T18:18:33ZSpatiotemporal analysis of COVID-19 outbreaks in Wuhan, China10.1038/s41598-021-93020-22045-2322https://doaj.org/article/631f153beda6435ca085ba96abdfb7662021-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-93020-2https://doaj.org/toc/2045-2322Abstract Few study has revealed spatial transmission characteristics of COVID-19 in Wuhan, China. We aimed to analyze the spatiotemporal spread of COVID-19 in Wuhan and its influence factors. Information of 32,682 COVID-19 cases reported through March 18 were extracted from the national infectious disease surveillance system. Geographic information system methods were applied to analysis transmission of COVID-19 and its influence factors in different periods. We found decrease in effective reproduction number (Rt) and COVID-19 related indicators through taking a series of effective public health measures including restricting traffic, centralized quarantine and strict stay-at home policy. The distribution of COVID-19 cases number in Wuhan showed obvious global aggregation and local aggregation. In addition, the analysis at streets-level suggested population density and the number of hospitals were associated with COVID-19 cases number. The epidemic situation showed obvious global and local spatial aggregations. High population density with larger number of hospitals may account for the aggregations. The epidemic in Wuhan was under control in a short time after strong quarantine measures and restrictions on movement of residents were implanted.Wei LiuDongming WangShuiqiong HuaCong XieBin WangWeihong QiuTao XuZi YeLinling YuMeng YangYang XiaoXiaobing FengTingming ShiMingyan LiWeihong ChenNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Wei Liu Dongming Wang Shuiqiong Hua Cong Xie Bin Wang Weihong Qiu Tao Xu Zi Ye Linling Yu Meng Yang Yang Xiao Xiaobing Feng Tingming Shi Mingyan Li Weihong Chen Spatiotemporal analysis of COVID-19 outbreaks in Wuhan, China
description	Abstract Few study has revealed spatial transmission characteristics of COVID-19 in Wuhan, China. We aimed to analyze the spatiotemporal spread of COVID-19 in Wuhan and its influence factors. Information of 32,682 COVID-19 cases reported through March 18 were extracted from the national infectious disease surveillance system. Geographic information system methods were applied to analysis transmission of COVID-19 and its influence factors in different periods. We found decrease in effective reproduction number (Rt) and COVID-19 related indicators through taking a series of effective public health measures including restricting traffic, centralized quarantine and strict stay-at home policy. The distribution of COVID-19 cases number in Wuhan showed obvious global aggregation and local aggregation. In addition, the analysis at streets-level suggested population density and the number of hospitals were associated with COVID-19 cases number. The epidemic situation showed obvious global and local spatial aggregations. High population density with larger number of hospitals may account for the aggregations. The epidemic in Wuhan was under control in a short time after strong quarantine measures and restrictions on movement of residents were implanted.
format	article
author	Wei Liu Dongming Wang Shuiqiong Hua Cong Xie Bin Wang Weihong Qiu Tao Xu Zi Ye Linling Yu Meng Yang Yang Xiao Xiaobing Feng Tingming Shi Mingyan Li Weihong Chen
author_facet	Wei Liu Dongming Wang Shuiqiong Hua Cong Xie Bin Wang Weihong Qiu Tao Xu Zi Ye Linling Yu Meng Yang Yang Xiao Xiaobing Feng Tingming Shi Mingyan Li Weihong Chen
author_sort	Wei Liu
title	Spatiotemporal analysis of COVID-19 outbreaks in Wuhan, China
title_short	Spatiotemporal analysis of COVID-19 outbreaks in Wuhan, China
title_full	Spatiotemporal analysis of COVID-19 outbreaks in Wuhan, China
title_fullStr	Spatiotemporal analysis of COVID-19 outbreaks in Wuhan, China
title_full_unstemmed	Spatiotemporal analysis of COVID-19 outbreaks in Wuhan, China
title_sort	spatiotemporal analysis of covid-19 outbreaks in wuhan, china
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/631f153beda6435ca085ba96abdfb766
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Spatiotemporal analysis of COVID-19 outbreaks in Wuhan, China

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