Multiscale modelling of hepatitis B virus at cell level of organization.

IF 2.6 4区 工程技术 Q1 Mathematics Mathematical Biosciences and Engineering Pub Date : 2024-09-27 DOI:10.3934/mbe.2024316
Huguette Laure Wamba Makeng, Ivric Valaire Yatat-Djeumen, Bothwell Maregere, Rendani Netshikweta, Jean Jules Tewa, Winston Garira
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Abstract

Multiscale modelling is a promising quantitative approach for studying infectious disease dynamics. This approach garners attention from both individuals who model diseases and those who plan for public health because it has great potential to contribute in expanding the understanding necessary for managing, reducing, and potentially exterminating infectious diseases. In this article, we developed a nested multiscale model of hepatitis B virus (HBV) that integrates the within-cell scale and the between-cell scale at cell level of organization of this disease system. The between-cell scale is linked to the within-cell scale by a once off inflow of initial viral infective inoculum dose from the between-cell scale to the within-cell scale through the process of infection; the within-cell scale is linked to the between-cell scale through the outflow of the virus from the within-cell scale to the between-cell scale through the process of viral shedding or excretion. The resulting multiple scales model is bidirectionally coupled in such a way that the within-cell scale and between-cell scale sub-models mutually affect each other, creating a reciprocal relationship. The computed reproductive number from the multiscale model confirms that the within-host scale and the between-host scale influence each other in a reciprocal manner. Numerical simulations are presented that also confirm the theoretical results and support the initial assumption that the within-cell scale and the between-cell scale influence each other in a reciprocal manner. This multiple scales modeling approach serves as a valuable tool for assessing the impact and success of health strategies aimed at controlling hepatitis B virus disease system.

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从细胞组织层面对乙型肝炎病毒进行多尺度建模。
多尺度建模是研究传染病动态的一种很有前途的定量方法。这种方法备受疾病建模人员和公共卫生规划人员的关注,因为它在扩大对管理、减少甚至可能消灭传染病的必要了解方面具有巨大潜力。在这篇文章中,我们开发了一个乙型肝炎病毒(HBV)的嵌套多尺度模型,该模型在该疾病系统的细胞组织水平上整合了细胞内尺度和细胞间尺度。细胞间尺度与细胞内尺度之间的联系是,初始病毒感染接种剂量通过感染过程从细胞间尺度一次性流入细胞内尺度;细胞内尺度与细胞间尺度之间的联系是,病毒通过脱落或排泄过程从细胞内尺度流出细胞间尺度。由此产生的多尺度模型是双向耦合的,细胞内尺度和细胞间尺度子模型相互影响,形成互惠关系。多尺度模型计算出的繁殖数量证实,宿主内尺度和宿主间尺度以互惠的方式相互影响。数值模拟也证实了理论结果,并支持了最初的假设,即细胞内尺度和细胞间尺度以互惠的方式相互影响。这种多尺度建模方法是评估旨在控制乙型肝炎病毒疾病系统的健康策略的影响和成功与否的重要工具。
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来源期刊
Mathematical Biosciences and Engineering
Mathematical Biosciences and Engineering 工程技术-数学跨学科应用
CiteScore
3.90
自引率
7.70%
发文量
586
审稿时长
>12 weeks
期刊介绍: Mathematical Biosciences and Engineering (MBE) is an interdisciplinary Open Access journal promoting cutting-edge research, technology transfer and knowledge translation about complex data and information processing. MBE publishes Research articles (long and original research); Communications (short and novel research); Expository papers; Technology Transfer and Knowledge Translation reports (description of new technologies and products); Announcements and Industrial Progress and News (announcements and even advertisement, including major conferences).
期刊最新文献
Multiscale modelling of hepatitis B virus at cell level of organization. Global sensitivity analysis and uncertainty quantification for a mathematical model of dry anaerobic digestion in plug-flow reactors. Depression-induced changes in directed functional brain networks: A source-space resting-state EEG study. Mathematical modeling of infectious diseases and the impact of vaccination strategies. Retraction notice to "A novel architecture design for artificial intelligence-assisted culture conservation management system" [Mathematical Biosciences and Engineering 20(6) (2023) 9693-9711].
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