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

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

Hao Wu, Ru Wang, Zhenghong Peng, Lingbo Liu

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.

2020

Sina Weibo, spatiotemporal characteristics, social media data, COVID-19

DOI: 10.3390/ijgi9060402

ISPRS International Journal of Geo-Information

MDPI AG

Geography (General)