Model predicted human mobility explains COVID-19 transmission in urban space without behavioral data
Abstract The SARS-CoV-2 virus is primarily transmitted through in-person interactions, and so its growth in urban space is a complex function of human mobility behaviors that cannot be adequately explained by standard epidemiological models. Recent studies leveraged fine-grained urban mobility data...
| 主要な著者: | , , , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Nature Portfolio
2025-02-01
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| シリーズ: | Scientific Reports |
| オンライン･アクセス: | https://doi.org/10.1038/s41598-025-87363-3 |