疫苗接种和意识预算分配的延迟导致传染病模型的混乱。

IF 1.8 4区 数学 Q3 ECOLOGY Journal of Biological Dynamics Pub Date : 2021-12-01 DOI:10.1080/17513758.2021.1952322
Arvind Kumar Misra, Rajanish Kumar Rai, Pankaj Kumar Tiwari, Maia Martcheva
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引用次数: 6

摘要

在本文中,我们提出了一个模型来评估疫苗接种和意识计划的预算分配对传染病动态的影响。假定预算分配遵循后勤增长,其人均增长率与疾病流行率成正比。在一个阈值之后,由于感染个体的增加,预算分配的人均增长率增加,导致极限环振荡的开始。我们的研究结果表明,通过高质量的疫苗接种和/或在流行区人民中不断宣传,可以减少甚至根除疾病的流行潜力。我们扩展了所提出的模型,在预算分配增量中加入了一个离散的时间延迟,这是由于区域内受感染人口的影响。我们观察到,随着时滞值的逐渐增大,系统会出现多个稳定性切换,系统变得混沌。
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Delay in budget allocation for vaccination and awareness induces chaos in an infectious disease model.

In this paper, we propose a model to assess the impacts of budget allocation for vaccination and awareness programs on the dynamics of infectious diseases. The budget allocation is assumed to follow logistic growth, and its per capita growth rate increases proportional to disease prevalence. An increment in per-capita growth rate of budget allocation due to increase in infected individuals after a threshold value leads to onset of limit cycle oscillations. Our results reveal that the epidemic potential can be reduced or even disease can be eradicated through vaccination of high quality and/or continuous propagation of awareness among the people in endemic zones. We extend the proposed model by incorporating a discrete time delay in the increment of budget allocation due to infected population in the region. We observe that multiple stability switches occur and the system becomes chaotic on gradual increase in the value of time delay.

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来源期刊
Journal of Biological Dynamics
Journal of Biological Dynamics ECOLOGY-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
4.90
自引率
3.60%
发文量
28
审稿时长
33 weeks
期刊介绍: Journal of Biological Dynamics, an open access journal, publishes state of the art papers dealing with the analysis of dynamic models that arise from biological processes. The Journal focuses on dynamic phenomena at scales ranging from the level of individual organisms to that of populations, communities, and ecosystems in the fields of ecology and evolutionary biology, population dynamics, epidemiology, immunology, neuroscience, environmental science, and animal behavior. Papers in other areas are acceptable at the editors’ discretion. In addition to papers that analyze original mathematical models and develop new theories and analytic methods, the Journal welcomes papers that connect mathematical modeling and analysis to experimental and observational data. The Journal also publishes short notes, expository and review articles, book reviews and a section on open problems.
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