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首页> 外文期刊>Anais da Academia Brasileira de Ciencias >Worldwide COVID-19 spreading explained: traveling numbers as a primary driver for the pandemic
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Worldwide COVID-19 spreading explained: traveling numbers as a primary driver for the pandemic

机译:全球Covid-19扩散解释:旅行号码作为大流行的主要司机

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The spread of SARS-CoV-2 and the distribution of cases worldwide followed no clear biogeographic, climatic, or cultural trend. Conversely, the internationally busiest cities in all countries tended to be the hardest hit, suggesting a basic, mathematically neutral pattern of the new coronavirus early dissemination. We tested whether the number of flight passengers per time and the number of international frontiers could explain the number of cases of COVID-19 worldwide by a stepwise regression. Analysis were taken by 22 May 2020, a period when one would claim that early patterns of the pandemic establishment were still detectable, despite of community transmission in various places. The number of passengers arriving in a country and the number of international borders explained significantly 49% of the variance in the distribution of the number of cases of COVID-19, and number of passengers explained significantly 14.2% of data variance for cases per million inhabitants. Ecological neutral theory may explain a considerable part of the early distribution of SARS-CoV-2 and should be taken into consideration to define preventive international actions before a next pandemic.
机译:SARS-COV-2的传播和全球案件的分布,无明显的生物地理,气候或文化趋势。相反,所有国家的国际最繁忙的城市往往是最严重的兴奋,暗示了新的冠状病毒早期传播的基本,数学上中立模式。我们测试了每次飞行乘客的数量和国际边界人数可以通过逐步回归来解释全球Covid-19的案例数量。在2020年5月22日,虽然在各个地方仍然存在仍然可检测到大流行性建立的早期模式,但分析仍然是分析。到达一个国家和国际边界人数的乘客数量明显解释了Covid-19案件数量分配的差异的49%,并且乘客数量为每百万居民案件的数据方差约为14.2% 。生态中立理论可解释SARS-COV-2的早期分布的相当大部分,应考虑到下一个大流行前定义预防性国际行动。
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