Impact of transit network on local Covid-19 infection risk from the perspectives of global network centrality and local network structure
A case study of Beijing
Bibliographic Data
| ID | 6419794 |
|---|---|
| Authors | Hao Chai (0000-0003-0957-5356), Tieshan Sun (0000-0002-0424-282X) |
| Year | 2025 |
| Volume | 165 |
| Pages | 106133-106133 |
| Publication date | 2025-06-04 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Cities (JOURNAL) |
| Journal identifiers | ISSN: 0264-2751 • E-ISSN: 1873-6084 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.cities.2025.106133 |
| OpenAlex | W4411021969 |
| Language | EN |
| References cited | 46 |
2019-20 coronavirus outbreak · Beijing · Business · Centrality · China · Computer network · Coronavirus disease 2019 (COVID-19 · Geography · Global network · Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 · Complex Network Analysis Techniques · Computer Science · COVID-19 epidemiological studies · Data-Driven Disease Surveillance · Mathematics · Medicine · Virology
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| Citation velocity | historical |
|---|---|
| Highly cited | No |