Associations between phone mobility data and COVID-19 cases.
作者信息
Gatalo Oliver, Tseng Katie, Hamilton Alisa, Lin Gary, Klein Eili
机构信息
Center for Disease Dynamics, Economics & Policy, Silver Spring, MD 20910, USA.
Center for Disease Dynamics, Economics & Policy, Silver Spring, MD 20910, USA; Johns Hopkins School of Medicine, Baltimore, MD, USA.
出版信息
Lancet Infect Dis. 2021 May;21(5):e111. doi: 10.1016/S1473-3099(20)30725-8. Epub 2020 Sep 15.
Abstract
摘要
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本文引用的文献
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Association between mobility patterns and COVID-19 transmission in the USA: a mathematical modelling study.美国移动模式与 COVID-19 传播的关联：一项数学建模研究。
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3
Absolute humidity and pandemic versus epidemic influenza.绝对湿度与大流行流感和流行性感冒。
Am J Epidemiol. 2011 Jan 15;173(2):127-35. doi: 10.1093/aje/kwq347. Epub 2010 Nov 16.
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