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Visualizing the spatial patterns of public responses towards a pandemic outbreak using internet search data
Regional Studies Regional Science ; 8(1):302-304, 2021.
Article in English | Web of Science | ID: covidwho-1371691
ABSTRACT
Based on a collection of daily Search Index data of symptom-, prevention- and recovery-related terms in Baidu, this study visualizes the spatial patterns of public responses towards the COVID-19 outbreak during the response and coexisting response and recovery phases. We find that provincial capitals and cities in China's Pearl River Delta and Yangtze River Delta regions show a relatively high level of public responses in both phases. Furthermore, cities with similar past experiences show a high level of public responses in the response phase, suggesting that enhancing urban resilience is associated with the learning-by-doing process.

Full text: Available Collection: Databases of international organizations Database: Web of Science Language: English Journal: Regional Studies Regional Science Year: 2021 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Web of Science Language: English Journal: Regional Studies Regional Science Year: 2021 Document Type: Article