Analysis of the Development of Trends in the Current Epidemic Situation during Spread of the New SARS-CoV-2 Strains and Factors of their Regional Differentiation

IF 4.033 Q4 Biochemistry, Genetics and Molecular Biology Biophysics Pub Date : 2024-03-07 DOI:10.1134/S0006350923050202
A. Yu. Perevaryukha
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Abstract

Specific processes of the local epidemic dynamics of COVID-19 are analyzed with a comparison of the qualitative differences between fluctuations in 2020 and 2023. A study using the methods of nonlinear dynamics on the development of epidemic processes in the context of a rapidly changing situation required classification of typical trends and unique situations that sometimes change at an extraordinary rate. A rather sharp change in the local trends is a distinctive feature of the modern pandemic: the effect at attenuation of the primary outbreak of morbidity and a sudden sharp beginning of a new epidemic wave after a long trend of decreasing daily infections. Minimizing the infections did not become a victory over the virus, but created a false illusion of success. The existing experience in constructing predictions based on the models of past epidemic processes did not help when encountering a new evolving virus. The previously obtained understanding of the development and completion of epidemic processes for influenza strains interfered when predicting the scenario for the completion of the distribution of the new infection, which is also associated with the event-based nature of the process and the variety of dynamic situations. The victory over COVID that was declared by many countries in the minimum phase after a peak was premature. New Zealand and Japan, which selected the strategy of strict lockdown measures in 2020 experienced an increase in the cases of infections at the beginning of 2023 due to new strains breaking through vaccine immunity. The pandemics of the “Spanish” flu and “swine” flu respiratory viruses (many individuals made predictions based on this analogy) died out naturally after the passage of two or three waves. At the beginning of 2023 (against the background of a global positive trend), a record increase in the indices of both mortality and daily morbidity due to the emergence of locally circulating “alarming” strains was observed in some countries. The current stage with the isolation of stable regional strains substantiates the classification of a number of differentiated properties of the dynamics of regional epidemic situations. Among the observed effects of the epidemic, extreme phenomena of instantaneous destruction of established regimes (a sharp transition from long-damping oscillations to a new exponential outbreak in the number of infections) upon bifurcation are separately highlighted. The selected variants for the development of epidemic transient oscillatory processes are individually described by equations with a delay for local epidemic trends. Equations for the description of three variants of development of the observed stages of local epidemics are proposed. At this stage, the task of constructing a generalizing predictive model of the pandemic for the description of interconnected regional processes is insoluble. The January 2024 Covid wave of recombinant strains JN, XDD from the descendants of the Pirola branch in a number of countries is second only to the original Omicron strain in the number of infections.

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SARS-CoV-2 新菌株传播期间当前流行病态势的发展趋势及其地区分化因素分析
摘要 通过比较 2020 年和 2023 年波动的质的差异,分析了 COVID-19 当地流行病动态的具体过程。利用非线性动力学方法研究瞬息万变的形势下流行病的发展过程,需要对典型趋势和有时以超常速度变化的独特情况进行分类。局部趋势的急剧变化是现代大流行病的一个显著特点:初次爆发的发病率在减弱,而新的流行病浪潮则在每日感染人数长期下降的趋势之后突然急剧开始。将感染率降到最低并不是战胜了病毒,而是制造了一种成功的假象。在遇到新的不断演变的病毒时,根据过去的流行过程模型构建预测的现有经验无济于事。以前对流感毒株流行过程的发展和完成的理解,在预测新感染分布完成的情况时产生了干扰,这也与流行过程以事件为基础的性质和各种动态情况有关。许多国家在高峰过后的最低阶段宣布战胜 COVID 的时机尚不成熟。新西兰和日本在 2020 年选择了严格的封锁措施策略,但在 2023 年初,由于新菌株突破了疫苗免疫,感染病例有所增加。西班牙 "流感和 "猪 "流感呼吸道病毒的大流行(许多人据此做出预测)在经过两三波后自然消亡。2023 年初(在全球趋势向好的背景下),由于一些国家出现了在当地流行的 "令人担忧 "的病毒株,死亡率和日发病率指数都出现了创纪录的增长。现阶段分离出的稳定的地区性菌株证实了地区性流行病疫情动态的一些不同特性。在观察到的疫情影响中,分别强调了分岔时瞬间破坏既定机制的极端现象(从长阻尼振荡急剧过渡到新的感染数量指数爆发)。选定的疫情瞬态振荡过程的发展变体分别用带有局部疫情趋势延迟的方程来描述。提出了描述观察到的地方流行病发展阶段的三种变体的方程。在现阶段,为描述相互关联的区域过程而构建大流行病通用预测模型的任务是无法完成的。2024 年 1 月,来自皮罗拉分支后代的重组菌株 JN、XDD 在多个国家掀起的 Covid 浪潮,其感染人数仅次于原始的 Omicron 菌株。
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来源期刊
Biophysics
Biophysics Biochemistry, Genetics and Molecular Biology-Biophysics
CiteScore
1.20
自引率
0.00%
发文量
67
期刊介绍: Biophysics is a multidisciplinary international peer reviewed journal that covers a wide scope of problems related to the main physical mechanisms of processes taking place at different organization levels in biosystems. It includes structure and dynamics of macromolecules, cells and tissues; the influence of environment; energy transformation and transfer; thermodynamics; biological motility; population dynamics and cell differentiation modeling; biomechanics and tissue rheology; nonlinear phenomena, mathematical and cybernetics modeling of complex systems; and computational biology. The journal publishes short communications devoted and review articles.
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