多波大流行与多期/多相流行:COVID-19 大流行的全球形态。

IF 1.9 4区 数学 Q2 BIOLOGY
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引用次数: 0

摘要

在西方国家,COVID-19 大流行病的整个过程呈现出复杂的阶段序列特征。在疫苗问世之前,这些阶段主要是由于加强/放松社会隔离措施之间的交替,目的是在保护健康和保护整个社会之间取得平衡。疫苗问世后,疫苗接种活动的复杂部署和病毒变种的出现进一步强调了这种多阶段性。为了应对这种多阶段性特征,我们根据阶段的具体定义,提出了一种建立大流行病整体过程模型的理论方法,我们称之为多期/多阶段方法。这样,即使在考虑疫苗接种和病毒变种的情况下,也能通过弱遍历更新方程序列,统一、简洁地表示复杂的流行过程。通过对流行病学和干预参数的特定假设,可以将其简化为简单的模型。该框架提出了一种简单的、理论驱动的数据解释方法,可以准确再现 COVID-19 在意大利从开始(2020 年 2 月)到奥米克隆开始流行的整个过程,证实了这一概念的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multiple pandemic waves vs multi-period/multi-phasic epidemics: Global shape of the COVID-19 pandemic

The overall course of the COVID-19 pandemic in Western countries has been characterized by complex sequences of phases. In the period before the arrival of vaccines, these phases were mainly due to the alternation between the strengthening/lifting of social distancing measures, with the aim to balance the protection of health and that of the society as a whole. After the arrival of vaccines, this multi-phasic character was further emphasized by the complicated deployment of vaccination campaigns and the onset of virus’ variants. To cope with this multi-phasic character, we propose a theoretical approach to the modeling of overall pandemic courses, that we term multi-period/multi-phasic, based on a specific definition of phase. This allows a unified and parsimonious representation of complex epidemic courses even when vaccination and virus’ variants are considered, through sequences of weak ergodic renewal equations that become fully ergodic when appropriate conditions are met. Specific hypotheses on epidemiological and intervention parameters allow reduction to simple models. The framework suggest a simple, theory driven, approach to data explanation that allows an accurate reproduction of the overall course of the COVID-19 epidemic in Italy since its beginning (February 2020) up to omicron onset, confirming the validity of the concept.

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来源期刊
CiteScore
4.20
自引率
5.00%
发文量
218
审稿时长
51 days
期刊介绍: The Journal of Theoretical Biology is the leading forum for theoretical perspectives that give insight into biological processes. It covers a very wide range of topics and is of interest to biologists in many areas of research, including: • Brain and Neuroscience • Cancer Growth and Treatment • Cell Biology • Developmental Biology • Ecology • Evolution • Immunology, • Infectious and non-infectious Diseases, • Mathematical, Computational, Biophysical and Statistical Modeling • Microbiology, Molecular Biology, and Biochemistry • Networks and Complex Systems • Physiology • Pharmacodynamics • Animal Behavior and Game Theory Acceptable papers are those that bear significant importance on the biology per se being presented, and not on the mathematical analysis. Papers that include some data or experimental material bearing on theory will be considered, including those that contain comparative study, statistical data analysis, mathematical proof, computer simulations, experiments, field observations, or even philosophical arguments, which are all methods to support or reject theoretical ideas. However, there should be a concerted effort to make papers intelligible to biologists in the chosen field.
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