Modelling health impacts of hepatitis – model selection and treatment plans

IF 1.8 4区数学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Mathematical and Computer Modelling of Dynamical Systems Pub Date : 2022-02-08 DOI:10.1080/13873954.2021.2020296

C. Reisch

引用次数: 1

Abstract

ABSTRACT Hepatitis B and C are viruses causing liver infections and resulting in grave secondary diseases. While there are different treatments for chronic liver infections, the process of evolving chronic diseases is still not fully understood. This paper presents an economic-inspired model for the overall health of an infected organism. The health model is based on the results of a reaction diffusion model for describing the space-dependent dynamics of virus and T cells during a liver infection. The different treatments affect the parameters of the reaction diffusion model and influence therefore the well-being of the infected person during an infection. The health model is selected in a detailed process out of a class of possible models. The presented work provides a foundation for an optimal control problem for finding the best treatment strategy.

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肝炎对健康影响的建模——模型选择和治疗计划

摘要乙型肝炎和丙型肝炎是导致肝脏感染并导致严重继发性疾病的病毒。虽然慢性肝脏感染有不同的治疗方法，但慢性疾病的演变过程仍不完全清楚。本文提出了一个受感染生物体整体健康的经济学模型。健康模型基于反应扩散模型的结果，用于描述肝脏感染期间病毒和T细胞的空间依赖性动力学。不同的治疗影响反应扩散模型的参数，并因此影响感染者在感染期间的健康状况。健康模型是在一类可能的模型中的详细过程中选择的。所提出的工作为寻找最佳处理策略的最优控制问题提供了基础。

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

Mathematical and Computer Modelling of Dynamical Systems 数学-计算机：跨学科应用

CiteScore

3.80

自引率

5.30%

发文量

审稿时长

>12 weeks

期刊介绍： Mathematical and Computer Modelling of Dynamical Systems (MCMDS) publishes high quality international research that presents new ideas and approaches in the derivation, simplification, and validation of models and sub-models of relevance to complex (real-world) dynamical systems. The journal brings together engineers and scientists working in different areas of application and/or theory where researchers can learn about recent developments across engineering, environmental systems, and biotechnology amongst other fields. As MCMDS covers a wide range of application areas, papers aim to be accessible to readers who are not necessarily experts in the specific area of application. MCMDS welcomes original articles on a range of topics including: -methods of modelling and simulation- automation of modelling- qualitative and modular modelling- data-based and learning-based modelling- uncertainties and the effects of modelling errors on system performance- application of modelling to complex real-world systems.