Correlation Analysis between Urban Elements and COVID-19 Transmission Using Social Media Data

Ru Wang, Lingbo Liu, Hao Wu and Zhenghong Peng
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Ru Wang: Department of Urban Planning, School of Urban Design, Wuhan University, Wuhan 430072, China
Lingbo Liu: Department of Urban Planning, School of Urban Design, Wuhan University, Wuhan 430072, China
Hao Wu: Department of Graphics and Digital Technology, School of Urban Design, Wuhan University, Wuhan 430072, China
Zhenghong Peng: Department of Graphics and Digital Technology, School of Urban Design, Wuhan University, Wuhan 430072, China

IJERPH, 2022, vol. 19, issue 9, 1-17

Abstract: The outbreak of the COVID-19 has become a worldwide public health challenge for contemporary cities during the background of globalization and planetary urbanization. However, spatial factors affecting the transmission of the disease in urban spaces remain unclear. Based on geotagged COVID-19 cases from social media data in the early stage of the pandemic, this study explored the correlation between different infectious outcomes of COVID-19 transmission and various factors of the urban environment in the main urban area of Wuhan, utilizing the multiple regression model. The result shows that most spatial factors were strongly correlated to case aggregation areas of COVID-19 in terms of population density, human mobility and environmental quality, which provides urban planners and administrators valuable insights for building healthy and safe cities in an uncertain future.

Keywords: urban elements; COVID-19 transmission; social media data; urban planning (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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