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Association between mobility patterns and COVID-19 transmission in the USA: a mathematical modelling study

机译:在美国的移动模式和Covid-19传输之间的关联:数学建模研究

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Background Within 4 months of COVID-19 first being reported in the USA, it spread to every state and to more than 90% of all counties. During this period, the US COVID-19 response was highly decentralised, with stay-at-home directives issued by state and local officials, subject to varying levels of enforcement. The absence of a centralised policy and timeline combined with the complex dynamics of human mobility and the variable intensity of local outbreaks makes assessing the effect of large-scale social distancing on COVID-19 transmission in the USA a challenge.
机译:美国2019冠状病毒疾病在4个月内首次报道,它传播到各州,并超过90%的县。在此期间,美国2019冠状病毒疾病的反应高度分散,国家和地方官员发布的居家指令,受到不同程度的强制执行。缺乏2019冠状病毒疾病的集中政策和时间线,结合人类活动的复杂动态和局部爆发的强度变化,评估了大规模社会距离对COVID-19在美国传播的影响。

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