Revealing spatiotemporal variations in areas potentially linked to COVID-19 spread using fine-grained population data
Abstract The COVID-19 pandemic has highlighted the need to better understand the dynamics of disease spread in cities in order to develop efficient and effective epidemiological strategies. In this study, we utilise fine-grained spatiotemporal population data obtained from mobile devices to identify...
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| Main Authors: | Nobumasa Ishida, Masashi Toyoda, Kazutoshi Umemoto, Koji Zettsu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-025-06658-7 |
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