COVID-19大流行的繁殖数预测

IF 3.1 3区 数学 Q1 MATHEMATICS Advances in Difference Equations Pub Date : 2023-11-22 DOI:10.1186/s13662-023-03792-2
Ryan Benjamin
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引用次数: 0

摘要

最近导出的混合发病率易感-传播-去除(HI-STR)原型是流行病的确定性室室模型,是易感-感染-去除(SIR)模型的替代方案。HI-STR预测病原体传播取决于宿主种群特征,包括种群规模、种群密度和该种群中常见的社会行为。HI-STR原型应用于祖先的严重急性呼吸系统综合征冠状病毒2 (SARS-CoV2),以表明英国(英国)的2019冠状病毒病(COVID-19)基本繁殖数\(\mathcal{R}_{0}\)的原始估计可以在美国(美国)被发现之前预测到美利坚合众国(美国)的各个州。伦敦帝国理工学院(ICL)小组对英国的\(\mathcal{R}_{0}\)估计是在美国的每个州进行的。这些预测与ICL对美国各州的估计之间的差异在配对学生t检验中要么在统计上不显著,要么在流行病学上不显著。SARS-CoV2 Delta变体的\(\mathcal{R}_{0}\)也从英国投影到美国,以证明投影可以应用于关注变体(VOC)。预测既为评估干预政策的实施提供了一个本地基线,也提供了一个机制,在VOC在本地出现之前预测其影响。
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Reproduction number projection for the COVID-19 pandemic

The recently derived Hybrid-Incidence Susceptible-Transmissible-Removed (HI-STR) prototype is a deterministic compartment model for epidemics and an alternative to the Susceptible-Infected-Removed (SIR) model. The HI-STR predicts that pathogen transmission depends on host population characteristics including population size, population density and social behaviour common within that population.

The HI-STR prototype is applied to the ancestral Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV2) to show that the original estimates of the Coronavirus Disease 2019 (COVID-19) basic reproduction number \(\mathcal{R}_{0}\) for the United Kingdom (UK) could have been projected onto the individual states of the United States of America (USA) prior to being detected in the USA.

The Imperial College London (ICL) group’s estimate of \(\mathcal{R}_{0}\) for the UK is projected onto each USA state. The difference between these projections and the ICL’s estimates for USA states is either not statistically significant on the paired Student t-test or not epidemiologically significant.

The SARS-CoV2 Delta variant’s \(\mathcal{R}_{0}\) is also projected from the UK to the USA to prove that projection can be applied to a Variant of Concern (VOC). Projection provides both a localised baseline for evaluating the implementation of an intervention policy and a mechanism for anticipating the impact of a VOC before local manifestation.

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来源期刊
Advances in Difference Equations
Advances in Difference Equations MATHEMATICS, APPLIED-MATHEMATICS
CiteScore
8.60
自引率
0.00%
发文量
0
审稿时长
4-8 weeks
期刊介绍: The theory of difference equations, the methods used, and their wide applications have advanced beyond their adolescent stage to occupy a central position in applicable analysis. In fact, in the last 15 years, the proliferation of the subject has been witnessed by hundreds of research articles, several monographs, many international conferences, and numerous special sessions. The theory of differential and difference equations forms two extreme representations of real world problems. For example, a simple population model when represented as a differential equation shows the good behavior of solutions whereas the corresponding discrete analogue shows the chaotic behavior. The actual behavior of the population is somewhere in between. The aim of Advances in Difference Equations is to report mainly the new developments in the field of difference equations, and their applications in all fields. We will also consider research articles emphasizing the qualitative behavior of solutions of ordinary, partial, delay, fractional, abstract, stochastic, fuzzy, and set-valued differential equations. Advances in Difference Equations will accept high-quality articles containing original research results and survey articles of exceptional merit.
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