Computational Modeling of the Scenario of Resumption of Covid-19 Waves under Pulse Evolution in New Omicron Lines

IF 0.8 4区 物理与天体物理 Q4 PHYSICS, APPLIED
A. Yu. Perevaryukha
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引用次数: 0

Abstract

The new COVID-19 waves in 2024 are oscillatory modes with different characteristics than those that we modeled in 2021. The global dynamics of SARS-CoV-2 infections changed its oscillation mode twice: after the global peak of Omicron BA.1 in the spring of 2022 and in December 2023 because of the appearance of the Pirola evolutionary branch. The SARS-CoV-2 outbreaks in the spring of 2024 differ from the fluctuations in the first two phases of the pandemic and waves of infections in the third phase, which began after the spread of the first version of Omicron in the winter of 2022. In the Pirola dominant branch, the situation was repeated in 2023. In 5 months, more than a dozen weak strains from the JN/KP subbranches, which became regional, were formed. The local dominant variants from the Pirola branch were again active in the regions. As a result, after the spread of the original Omicron faded, the epidemic process was restarted with new properties. The JN branch was estimated by us as having no evolutionary prospects according to the growth dynamics of its share among all infections. The reason for the aggravation of the epidemic situation is not only JN antibody evasion, but also reinfection. The spread of chronic post-Covid syndrome with a specific immunodeficiency condition has been noted. Most of the reported COVID-19 diseases in hospitals in 2024 are severe repeated infections. After the global Omicron BA.1 wave, the formation and attenuation of the wave series of local epidemics became asynchronous in nature. The continued emergence of new strains in the regions in the spring of 2024 necessitates forecasts of new methods of formal description by mathematical means of the epidemic evolution. The author consistently develops a method of computational modeling of the transformations of nonlinear oscillations in biophysical systems by analogy with discontinuous processes in technical physics. A comparative analysis of the differences in the development of the COVID epidemic waves in terms of hospitalization and mortality rates in the United Kingdom, Japan, and New Zealand has been carried out. There are different scenarios and forms of oscillatory dynamics in infections and mortality in terms of frequency, duration of COVID waves, and pauses between peaks. We have classified the scenarios according to the characteristic features of nonlinear dynamics. We have shown that the fading trend after the primary peak is easily destroyed by a mass infection event, thus causing an outbreak and a new mode of fluctuations. A method for modeling the impulse development of the epidemic based on equations with the threshold regulation functions and the choice of the forms for the situational functions damping the amplitude of infection waves has been proposed. In a hybrid structure on the right-hand side of the equations, we have indicated the rearrangements that determine the shape of the oscillating attenuation of the number of infections during evolution. In our computational experiment, a variant of the coronavirus activity peak caused by the effect of a single mass infection in a large logistics center after the stage of the attenuation of the local epidemic waves was simulated as a bifurcation scenario. In the model, this provokes a global wave because of the change of the dominant among the branches of the strains. In 2024, the entire epidemic dynamics describes a fading general trend, but one interspersed with brief bursts of waves. The virus has now begun to be defeated by the immune system, and new variants do not bind well to the ACE2 receptor. It is necessary to further analyze the effect of a sharp loss of immunity in vaccinated people. According to the author’s forecast, the likely scenario is a spiral trend in the virus evolution with a return to early forms of the Spike protein and seasonal waves in 2025. A new wave of COVID is launched after a pop concert in Madrid.

Abstract Image

新奥米克隆线脉冲演化下恢复 Covid-19 波情景的计算建模
摘要 2024 年新出现的 COVID-19 波是一种振荡模式,其特征与我们在 2021 年模拟的模式不同。SARS-CoV-2 感染的全球动态两次改变了振荡模式:2022 年春季 Omicron BA.1 全球高峰之后和 2023 年 12 月 Pirola 演化分支的出现。2024 年春季的 SARS-CoV-2 爆发不同于大流行前两个阶段的波动和第三阶段的感染浪潮,后者始于 2022 年冬季第一个版本的 Omicron 传播之后。在皮罗拉优势分支,情况在 2023 年重演。在 5 个月内,形成了十多个来自 JN/KP 分支的弱毒株,并成为区域性毒株。皮罗拉分支的地方优势变种再次活跃在各地区。因此,在原始 Omicron 的传播消退后,流行过程又以新的特性重新开始。根据 JN 支系在所有感染中的份额增长动态,我们估计该支系没有进化前景。疫情加剧的原因不仅在于 JN 抗体的逃避,还在于再次感染。人们已经注意到伴有特殊免疫缺陷状况的慢性后科维德综合征的传播。2024 年医院报告的 COVID-19 疾病大多是严重的重复感染。在全球 Omicron BA.1 波之后,地方流行病波系列的形成和衰减在本质上变得不同步。2024 年春季,各地区将继续出现新的菌株,因此有必要通过数学手段正式描述流行病演变的新方法进行预测。作者通过类比技术物理学中的非连续过程,不断开发出生物物理系统中非线性振荡变换的计算建模方法。作者对英国、日本和新西兰 COVID 疫情波在住院率和死亡率方面的发展差异进行了比较分析。从频率、COVID 波持续时间和峰值之间的停顿来看,感染率和死亡率的振荡动态有不同的情况和形式。我们根据非线性动态的特征对这些情况进行了分类。我们已经证明,主峰后的消退趋势很容易被大规模感染事件所破坏,从而导致爆发和新的波动模式。我们提出了一种基于阈值调节函数方程的流行病脉冲发展建模方法,并选择了抑制感染波幅的情景函数形式。在方程右侧的混合结构中,我们指出了决定演化过程中感染数量振荡衰减形状的重排。在我们的计算实验中,我们模拟了冠状病毒活动峰值的一个变体,它是在局部流行病波衰减阶段之后,由大型物流中心的单次大规模感染效应引起的分叉情景。在模型中,由于菌株分支间的主导地位发生了变化,这引发了全球性的浪潮。2024 年,整个疫情动态呈现出逐渐消退的总体趋势,但其中夹杂着短暂的波浪式爆发。现在,病毒已开始被免疫系统打败,新的变种也不能很好地与 ACE2 受体结合。有必要进一步分析疫苗接种者免疫力急剧下降的影响。根据作者的预测,可能出现的情况是病毒进化呈螺旋式上升趋势,2025 年将恢复早期形式的穗状病毒蛋白和季节性病毒波。在马德里的一场流行音乐会之后,新一波的 COVID 病毒开始流行。
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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来源期刊
Technical Physics Letters
Technical Physics Letters 物理-物理:应用
CiteScore
1.50
自引率
0.00%
发文量
44
审稿时长
2-4 weeks
期刊介绍: Technical Physics Letters is a companion journal to Technical Physics and offers rapid publication of developments in theoretical and experimental physics with potential technological applications. Recent emphasis has included many papers on gas lasers and on lasing in semiconductors, as well as many reports on high Tc superconductivity. The excellent coverage of plasma physics seen in the parent journal, Technical Physics, is also present here with quick communication of developments in theoretical and experimental work in all fields with probable technical applications. Topics covered are basic and applied physics; plasma physics; solid state physics; physical electronics; accelerators; microwave electron devices; holography.
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