快速浏览全球新冠肺炎登记病例

R. Isea, K. Lonngren
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引用次数: 6

摘要

本研究根据约翰霍普金斯大学登记的数据,分析了世界各地的新冠肺炎登记病例。我们选择了15个国家来分析他们的数据。按字母顺序排列的国家是:阿根廷、澳大利亚、巴西、智利、中国、哥伦比亚、德国、印度、意大利、墨西哥、秘鲁、葡萄牙、西班牙、美国和委内瑞拉。有了这些信息,进行了三个不同的研究。首先,使用本福德定律对数据进行验证,该定律基于法医技术,使我们能够保证信息的完整性。之后,我们计算了基本复制数(R0)的值,即。即由一种主要宿主感染引起的继发宿主感染人数,这有助于我们确定一个国家是否爆发了Covid-19。最后,我们证明了在时间内情况数量变化的最佳表示是计算尾数值,即。由数据的对数得到的浮点数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A quick Look at the Registered Cases of Covid-19 Throughout the World
The present work analyzes the registered cases of Covid-19 throughout the world according the data registered at Johns Hopkins University. We selected 15 countries to analyze their data. In alphabetical order the countries are: Argentina, Australia, Brazil, Chile, China, Colombia, Germany, India, Italy, Mexico, Peru, Portugal, Spain, United States and Venezuela. With this information, three different studies were carried out. First, the data was validated using Benford's Law which is based on forensic techniques that allow us to guarantee the integrity of the information. Later, we calculated the value of the basic reproduction number (R0), ie., the number of secondary host infections caused by one primary host infection that helps us to determine if a country has an outbreak of Covid-19. Finally, we show that the best representation for the change in the number of cases in the time is to calculate the mantissa value, ie., the floating number obtained from the logarithm of the data.
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