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人文地理  2021, Vol. 36 Issue (2): 110-119,154    DOI: 10.13959/j.issn.1003-2398.2021.02.014
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新冠肺炎疫情网络关注度的时空演变特征及其影响因素分析
李梦程1,2, 王成新1,2, 薛明月1,2, 王瑞莉1,2, 周慧敏3
1. 山东师范大学 地理与环境学院, 济南 250358;
2. 山东省高校人地协调与绿色发展协同创新中心, 济南 250358;
3. 华东师范大学 城市与区域科学学院, 上海 200241
ANALYSIS OF SPATIO-TEMPORAL EVOLUTION CHARACTERISTICS AND INFLUENCE FACTORS OF THE NETWORK ATTENTION DEGREE OF NOVEL CORONAVIRUS PNEUMONIA EPIDEMIC
LI Meng-cheng1,2, WANG Cheng-xin1,2, XUE Ming-yue1,2, WANG Rui-li1,2, ZHOU Hui-min3
1. College of Geography and Environment, Shandong Normal University, Jinan 250358, China;
2. Collaborative Innovation Center of Human-Nature and Green Development in Universities of Shandong, Jinan 250358, China;
3. School of Urban and Regional Science, East China Normal University, Shanghai 200241, China

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摘要 2020年新冠肺炎疫情的爆发,迅速引起了人们的关注。基于百度指数,采用空间自相关和变差函数分析我国居民对疫情关注度的时空演变特征和空间分异机理,运用地理探测器对其影响因素进行探究。结果表明:①2020年1月16日—2月26日,全国范围内疫情的网络关注度呈先升后降的“倒V型”演变趋势,武汉“封城日”是其重要的时间拐点。②新冠肺炎疫情网络关注度存在显著空间正相关性,高高和低低集聚的空间特征明显;局部冷热点分布呈现以“胡焕庸线”为界的空间分异格局。③东—西方向为疫情网络关注度在空间分异上的主要方向。④新闻媒体宣传力度、人口密度、疫情传播路径、实时疫情和地理区位共同影响着疫情网络关注度的时空演变格局。
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关键词 新冠肺炎疫情网络关注度时空演变影响因素    
Abstract:When the novel coronavirus pneumonia outbroke in 2020, this public health emergency has attracted people's attention rapidly. Based on real-time data of Baidu index, this paper analyzes the spatio-temporal evolution characteristics of people's attention degree since the outbreak of novel coronavirus pneumonia epidemic through the spatial autocorrelation model. Moreover, this paper investigates the evolution mechanism of its spatial differentiation using the spatial variation function, and selects the geographical detectors to explore its influencing factors. The results show that:1) In the eastern, central and western regions of China, as well as nationwide, the nationwide network attention degree of the novel coronavirus pneumonia epidemic showed an "inverted V-shaped" evolution trend from January 16th to February 26th, 2020. 2) The novel coronavirus pneumonia epidemic network attention degree has significant spatial positive correlation, and the spatial characteristics of high and low concentration were obvious. 3) The spatial difference of network attention degree of novel coronavirus pneumonia epidemic has continued to shrink, the spatial differentiation caused by structural factors has gradually increased, and the scope of spatial correlation has expanded. 4) The strength of news media propaganda, and geographical location all affected the spatio-temporal evolution of network attention degree of novel coronavirus pneumonia epidemic in China.
Key wordsnovel coronavirus pneumonia epidemic    network attention degree    spatio-temporal evolution    influence factor   
收稿日期: 2020-06-20     
PACS: K901  
基金资助:国家社会科学基金项目(20BJY070);山东省自然科学基金项目(ZR2019MD043)
通讯作者: 王成新(1971-),男,山东新泰人,教授,博士生导师,主要研究方向为城市化与区域发展。E-mail:404122665@qq.com。     E-mail: 404122665@qq.com
作者简介: 李梦程(1990-),女,山东威海人,博士研究生,主要研究方向为区域发展与城市规划。E-mail:mclisd@163.com。
引用本文:   
李梦程, 王成新, 薛明月, 王瑞莉, 周慧敏. 新冠肺炎疫情网络关注度的时空演变特征及其影响因素分析[J]. 人文地理, 2021, 36(2): 110-119,154. LI Meng-cheng, WANG Cheng-xin, XUE Ming-yue, WANG Rui-li, ZHOU Hui-min. ANALYSIS OF SPATIO-TEMPORAL EVOLUTION CHARACTERISTICS AND INFLUENCE FACTORS OF THE NETWORK ATTENTION DEGREE OF NOVEL CORONAVIRUS PNEUMONIA EPIDEMIC. HUMAN GEOGRAPHY, 2021, 36(2): 110-119,154.
链接本文:  
http://rwdl.xisu.edu.cn/CN/10.13959/j.issn.1003-2398.2021.02.014      或     http://rwdl.xisu.edu.cn/CN/Y2021/V36/I2/110
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