Data-driven multiscale dynamical framework to control a pandemic evolution with non-pharmaceutical interventions.
Before the availability of vaccines, many countries have resorted multiple times to drastic social restrictions to prevent saturation of their health care system, and to regain control over an otherwise exponentially increasing COVID-19 pandemic. With the advent of data-sharing, computational approa...
| 發表在: | PLoS ONE |
|---|---|
| Main Authors: | , , , , |
| 格式: | Article |
| 語言: | 英语 |
| 出版: |
Public Library of Science (PLoS)
2023-01-01
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| 在線閱讀: | https://doi.org/10.1371/journal.pone.0278882 |