Real-time tracking and prediction of COVID-19 infection using digital proxies of population mobility and mixing
Digital proxies of human mobility can be used to monitor social distancing, and therefore have potential to infer COVID-19 dynamics. Here, the authors integrate travel card data from Hong Kong into a transmission model and show that it can be used to track transmissibility in near real-time.
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2021-03-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-021-21776-2 |