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COVID-19的流动性网络模型解释了不平等,并告知了重新开放

Serina Chang1, Emma Pierson1,2, Pang Wei Koh1

  • 1Department of Computer Science, Stanford University, Stanford, CA, USA.

Nature
|November 10, 2020
PubMed
概括

一个使用移动电话数据的新型人口 SEIR 模型显示,少数超级传播地点推动了 COVID-19 的传播. 限制这些地点的占用率比广泛的流动性减少更有效.

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