4.5 Article

Exploring Urban Spatial Features of COVID-19 Transmission in Wuhan Based on Social Media Data

出版社

MDPI
DOI: 10.3390/ijgi9060402

关键词

COVID-19; social media data; sina weibo; spatiotemporal characteristics

资金

  1. National Natural Science Foundation of China [51978535]
  2. Humanities and Social Science Project of the Ministry of Education [19YJCZH187]
  3. Wuhan University Experiment Technology

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During the early stage of the COVID-19 outbreak in Wuhan, there was a short run of medical resources, and Sina Weibo, a social media platform in China, built a channel for novel coronavirus pneumonia patients to seek help. Based on the geo-tagging Sina Weibo data from February 3rd to 12th, 2020, this paper analyzes the spatiotemporal distribution of COVID-19 cases in the main urban area of Wuhan and explores the urban spatial features of COVID-19 transmission in Wuhan. The results show that the elderly population accounts for more than half of the total number of Weibo help seekers, and a close correlation between them has also been found in terms of spatial distribution features, which confirms that the elderly population is the group of high-risk and high-prevalence in the COVID-19 outbreak, needing more attention of public health and epidemic prevention policies. On the other hand, the early transmission of COVID-19 in Wuhan could be divide into three phrases: Scattered infection, community spread, and full-scale outbreak. This paper can help to understand the spatial transmission of COVID-19 in Wuhan, so as to propose an effective public health preventive strategy for urban space optimization.

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