An investigation of Susceptible–Exposed–Infectious–Recovered (SEIR) tuberculosis model dynamics with pseudo-recovery and psychological effect

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引用次数: 0

Abstract

Tuberculosis is one of the most pressing issues of the modern era, posing a severe health risk to humans in recent decades. This study proposes a Susceptible–Exposed–Infectious–Recovered (SEIR) tuberculosis epidemic transmission model with psychological effects and pseudo-recovery. We consider a compartmental mathematical model in which the entire population is divided into four compartments based on their natural features. The model is validated, and parameter values are estimated using Indonesian data from 2002 to 2022. To investigate their epidemiological significance, we proved the positivity and boundedness of solutions, as well as the local and global stability of equilibria. Sensitivity analysis is used to find the most influential parameters with the most significant influence on the basic reproduction number, R0. The bifurcation procedure tools of the center manifold theory are used to conduct a bifurcation study. Mathematical conditions ensure the inferred event of forward bifurcation. We performed numerical simulations that support our theoretical findings.
带假康复和心理效应的易感-暴露-感染-康复(SEIR)结核病模型动力学研究
结核病是当代最紧迫的问题之一,近几十年来严重危害人类健康。本研究提出了一种具有心理效应和伪康复的易感-暴露-感染-康复(SEIR)结核病流行传播模型。我们考虑了一个分区数学模型,其中根据自然特征将整个人群分为四个分区。我们利用 2002 年至 2022 年的印尼数据对模型进行了验证,并估算了参数值。为了研究其流行病学意义,我们证明了解的实在性和有界性,以及平衡点的局部和全局稳定性。通过敏感性分析,我们找到了对基本繁殖数 R0 影响最大的参数。利用中心流形理论的分岔程序工具进行分岔研究。数学条件确保了推断的正向分岔事件。我们进行的数值模拟支持了我们的理论发现。
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来源期刊
Healthcare analytics (New York, N.Y.)
Healthcare analytics (New York, N.Y.) Applied Mathematics, Modelling and Simulation, Nursing and Health Professions (General)
CiteScore
4.40
自引率
0.00%
发文量
0
审稿时长
79 days
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