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Unpredictable Counter-Intuitive Geoclimatic and Demographic Correlations of COVID-19 Spread Rates

机译:Covid-19扩频率不可预测反向直观的地理脑域和人口相关性

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摘要

Rates of viral spread during first and second waves of the COVID-19 pandemic for USA states, and for consecutive nonoverlapping periods of 20 days for the USA and 51 countries across the globe associate with mean temperature, elevation, population density and age. Some associations switch directions when comparing different periods. Even population density, which presumably should always increase viral spread, at some periods seems to decrease spread rates. We also observed systematic inversions between spread rates estimated at 80–100 day intervals. These patterns remain unexplained and suggest difficulties in managing and predicting the pandemic, in particular, negative correlations between population density and spread rates, which were observed in independent samples and at different periods. Putatively, confinements could produce these patterns, by selecting viral strains with longer contagiousness and/or latent periods.
机译:在Covid-19大流行于美国国家的第一波和第二波期间的病毒率传播,并且在美国和51个国家的连续结果为20天,全球各地的51个国家与平均温度,高度,人口密度和年龄。在比较不同时段时,一些关联切换方向。甚至人口密度也可能始终应该始终增加病毒蔓延,但在某个时期似乎减少了扩展率。我们还观察到在80-100天间隔估计的扩频之间的系统反转。这些模式仍然是不明原因的,并且表明在独立样品和不同时期观察到群体密度和扩展率之间的群体密度和扩展率之间的阴性相关性的困难。借鉴,监禁可以通过选择具有更长的传染性和/或潜伏期的病毒菌株来产生这些模式。

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