Revealing the spatial shifting pattern of COVID-19 pandemic in the United States
Abstract We describe the use of network modeling to capture the shifting spatiotemporal nature of the COVID-19 pandemic. The most common approach to tracking COVID-19 cases over time and space is to examine a series of maps that provide snapshots of the pandemic. A series of snapshots can convey the...
Guardado en:
Autores principales: | Di Zhu, Xinyue Ye, Steven Manson |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/a57412f91480448c8fdce80de0f8d9f4 |
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