人类流动性数据能告诉我们关于新冠病毒传播的哪些信息。
What human mobility data tell us about COVID-19 spread.
作者信息
Alessandretti Laura
机构信息
Department of Applied Mathematics and Computer Science, Technical University of Denmark, Lyngby, Denmark.
出版信息
Nat Rev Phys. 2022;4(1):12-13. doi: 10.1038/s42254-021-00407-1. Epub 2021 Dec 3.
Abstract
Peoples' movements - both local and long-distance - have driven the spread of COVID-19, within and between communities. At the same time, although most contagion events involve human travel, not all human travel leads to contagion events, and deriving information about virus spread from what is known about human mobility remains a challenge. In the past two years, new datasets and analyses have shed fresh light on the problem.
摘要
人员流动——包括本地流动和长途流动——推动了新冠病毒在社区内部和社区之间的传播。与此同时，尽管大多数传染事件都涉及人员出行，但并非所有人员出行都会导致传染事件，而且从已知的人员流动情况中获取有关病毒传播的信息仍然是一项挑战。在过去两年里，新的数据集和分析为这个问题带来了新的启示。
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