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| SPATIOTEMPORAL DISTRIBUTION OF COVID-19 AND PUBLIC ANXIETY: ANALYSIS BASED ON MICRO-BLOG DATA |
| CHANG Jian-xia1,2, LI Jun-yi1,2 |
1. School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, China;
2. Shaanxi Key Laboratory of Tourism Informatics, Xi'an 710119, China |
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Abstract Based on the micro-blog texts of 17 cities in Henan Province, this paper analyzes the topic change of public anxiety by using semantic network analysis. On the basis of calculating the anxiety sentiment, this paper explores the temporal change of public anxiety with the development of COVID-19, and uses GIS to visualize the spatial distribution of public anxiety in 17 cities. The results show that:1) There is a positive correlation between the fluctuation range of anxiety and the epidemic. At the early stage, the public is more sensitive to the change of epidemic data. A small increase or decrease in the newly diagnosed cases can cause a sharp rise or fall in public anxiety. In the late stage, the impact gradually stabilizes. 2) In the early and late stage of the COVID-19, anxiety and the number of newly diagnosed cases changed simultaneously. In the middle two stages, the change of anxiety lagged behind the diagnosed cases number by 1-3days. 3) The focus topic of public concern is different by anxiety change. The occurrence and development of the epidemic will trigger public anxiety. Nevertheless, the anxiety will not subside with the decline of the epidemic. It will be amplified and transferred to the social anxiety in daily life, and may exist in the affected individuals for a long time. 4) The spatial distribution of public anxiety is affected by the epidemic data, and further by location, economic connection, traffic connection, population flow, epidemic response measures, etc.
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Received: 06 May 2020
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2021, Vol. 36 
