Application of the Fluctuation Test to the data of Morbidity and Mortality by COVID-19 in China 2020-2023

Anyi Y Lopez, Maria A Fernandez, Hilda C Grassi, Efren J Andrades, Jesus E Andrades
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Abstract

In this work the Luria and Delbruck Fluctuation Test was applied to the data of Morbidity and Mortality by COVID-19 in China from January 2020 to August 2023. Three types of data were used: es.statista.com, datosmacro.expansion.com and larepublica.co without modification, but trying to avoid and justify the anomalies and inconsistencies observed. The methods originally used to establish the interactions of two populations were evaluated: the viral population with that of its host and the drift of both organisms. Only the fluctuations of the weekly Variance of daily increase of Cases (Morbidity) and of the weekly Variance of daily increase of Deaths (Mortality) were studied. The results showed that the Fluctuation Test is applicable to the selected data from China and other data from India, Japan and South Korea, used as controls. The study was separated into two periods: a first initial period from January 2020 to September 2021 and a second final period from October 2021 to August 2023. Results were obtained for Morbidity and Mortality that relate the fluctuations of the first with the fluctuations of the second. However, it was possible to detect some anomalies and uncertainties that were possibly derived from inconsistencies in the original data. A repeated fluctuation was observed in the boreal winter in January, February and March of each one of the year studied. A clear decrease in fluctuation was detected in that period in 2021 that could be attributed to the strict confinement during the quarantine in China between 2020 and 2021. Massive, extensive and intensive vaccinations failed to completely eliminate the most important fluctuations. In this work we tried to correlate the appearance of some virus variants with the fluctuations. The most relevant results of said correlation are presented. With the results of this work, the animal origin cannot be confirmed nor can the human or laboratory origin of the SARS CoV-2 virus that caused the initial emerging infection, be ruled out. However, it was concluded that this method could be used to search for clues about its origin. One of these keys is the comparison of the result of the first important fluctuation in the boreal winter of 2020 in each of the countries studied as controls: India, Japan and South Korea. The comparison of this result with the first fluctuation of China for that same period could give clues about the origin of the virus.
波动检验在2020-2023年中国新冠肺炎发病率和死亡率数据中的应用
本研究将Luria和Delbruck波动检验应用于2020年1月至2023年8月中国COVID-19发病率和死亡率数据。使用了三种类型的数据:es.statista.com、datosmacro.expansion.com和larepublica。没有修改,但试图避免和证明观察到的异常和不一致。评估了最初用于建立两个种群相互作用的方法:病毒种群与宿主的相互作用以及两种生物体的漂移。只研究了病例(发病率)每日增加的周方差和死亡(死亡率)每日增加的周方差的波动。结果表明,波动检验适用于中国和印度、日本、韩国的数据作为控制。该研究分为两个阶段:第一个初始阶段从2020年1月到2021年9月,第二个最终阶段从2021年10月到2023年8月。得到了发病率和死亡率的结果,前者的波动与后者的波动有关。然而,有可能发现一些异常和不确定因素,这些异常和不确定因素可能是由原始数据的不一致引起的。在研究年份的每一年的1月、2月和3月,在北方冬季观察到反复的波动。在2021年这一时期,发现波动明显减少,这可能是由于2020年至2021年中国隔离期间的严格限制。大规模、广泛和强化的疫苗接种未能完全消除最重要的波动。在这项工作中,我们试图将一些病毒变体的出现与波动联系起来。给出了最相关的相关结果。根据这项工作的结果,不能确认动物来源,也不能排除引起最初新发感染的SARS CoV-2病毒的人类或实验室来源。然而,人们得出的结论是,这种方法可以用来寻找其起源的线索。其中一个关键因素是对作为对照研究的每个国家(印度、日本和韩国)2020年北冬首次重要波动的结果进行比较。将这一结果与同期中国的第一次波动进行比较,可以为病毒的起源提供线索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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