Visualizing the spatial patterns of public responses towards a pandemic outbreak using Internet search data
Bibliographic Data
| ID | 7366584 |
|---|---|
| Authors | Bo Wang (0000-0002-0290-2134), Xueying Yang (0000-0001-6788-0688), Jixiang Liu (0000-0002-6023-0663, corresponding author) |
| Year | 2021 |
| Volume | 8 |
| Issue | 1 |
| Pages | 302-304 |
| Publication date | 2021-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Regional Studies Regional Science (JOURNAL) |
| Journal identifiers | ISSN: 2168-1376 • E-ISSN: 2168-1376 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/21681376.2021.1954543 |
| OpenAlex | W3194377066 |
| Language | EN |
| Citations received | 1 |
| References cited | 2 |
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
2019-20 coronavirus outbreak · Biology · Cartography · Coronavirus disease 2019 (COVID-19 · Geography · Infectious disease (medical specialty · Internet privacy · Outbreak · Pandemic · The Internet · World Wide Web · Computer Science · Data-Driven Disease Surveillance · Geographic Information Systems Studies · Human Mobility and Location-Based Analysis · Medicine · Virology
| Unique citing works | 1 |
|---|---|
| Citations per year | 0,5 |
| Citation span | 2024 - 2024 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |