The Geographical Destination Distribution and Effect of Outflow Population of Wuhan When the Outbreak of COVID-19

Q4 Engineering 电子科技大学学报 Pub Date : 2020-05-01 DOI:10.12178/1001-0548.2_2020033
Xu Xiao-ke, Wen Cheng, Z. Guang-yao, Sun Hao-chen, Liu Bo, Wang Xian-wen
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引用次数: 8

Abstract

In this paper, we provide a statistical analysis of population movements leaving Wuhan based on mass population movement information which is collected by geographic services of Tencent and Baidu. Firstly, we find that the five million people leaving Wuhan before the official announcement that they will close the exits are not much different from the normal population movement during the previous Spring Festival travel rush. However, small portion of the population poured out of Wuhan in the last period before the exits closed. Secondly, according to statistics of the destination cities of the outflow population from Wuhan starting from 2020, we find that the destination distribution of folks in 2020 was basically same as that in previous years. Finally, the influence of the population leaving Wuhan on epidemic spread is analyzed. We find that the role of incubation period must be considered when measuring this influence. This study is helpful for relevant personnel to grasp the speed of epidemic spread, assess the risk of epidemic, and provides reference to predict and stop disease spreading.
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新冠肺炎暴发时武汉市人口外流的地理目的地分布及影响
本文基于腾讯和百度的地理服务收集到的大规模人口流动信息,对离开武汉的人口流动进行了统计分析。首先,我们发现,在官方宣布关闭出口之前离开武汉的500万人与之前春运高峰期间的正常人口流动没有太大区别。然而,在出口关闭前的最后一段时间,有一小部分人口从武汉涌入。其次,根据对2020年武汉流出人口目的地城市的统计,我们发现2020年的人口目的地分布与往年基本相同。最后,分析了离汉人口对疫情传播的影响。我们发现,在衡量这种影响时,必须考虑潜伏期的作用。本研究有助于相关人员掌握疫情传播速度,评估疫情风险,为预测和阻止疾病传播提供参考。
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来源期刊
电子科技大学学报
电子科技大学学报 Engineering-Electrical and Electronic Engineering
CiteScore
1.40
自引率
0.00%
发文量
7228
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