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
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.
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.
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