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International Journal of Biomathematics最新文献

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Impacts of nonlocal fear effect and delay on a reaction-diffusion predator-prey model 非局部恐惧效应和延迟对反应扩散捕食者-猎物模型的影响
3区 数学 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY Pub Date : 2023-10-27 DOI: 10.1142/s1793524523500894
Xuebing Zhang, Jia Liu, Guanglan Wang
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引用次数: 0
The analysis of deterministic and stochastic model with general information intervention 具有一般信息干预的确定性和随机模型分析
3区 数学 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY Pub Date : 2023-10-19 DOI: 10.1142/s179352452350081x
Tan Yang, Yang Lin
In this paper, we propose an epidemic model with the impact of information intervention and general incidence rate in deterministic and stochastic environment, respectively. The information intervention prompts susceptible individuals to change their behavior to protect themselves from infection. First, the asymptotic dynamics of the disease-free equilibrium and the unique endemic equilibrium are analyzed and the results indicate that the basic reproduction number is a pointy disease threshold about the stability under some conditions. Then, we formulate the corresponding stochastic model by perturbing the disease transmission rate and information response rate parameters by white noise terms and provide verifiable sufficient conditions for extinction and persistence in mean. Two sufficient conditions for extinction show that if the noise intensity of the disease transmission rate is large enough or small enough, the infected population of the stochastic system will tend to go extinct. For the persistence, we get the sufficient conditions which guarantee the infected population to be persistent in the mean. Finally, we perform some numerical simulations to compare the dynamic behaviors of the deterministic and the stochastic system.
本文分别在确定性和随机环境下,建立了考虑信息干预影响和总发病率影响的传染病模型。信息干预促使易感个体改变自己的行为以保护自己免受感染。首先,对无病平衡点和唯一地方性平衡点的渐近动力学进行了分析,结果表明,在一定条件下,基本繁殖数是关于稳定性的一个点疾病阈值。然后,利用白噪声项对疾病传播率和信息响应率参数进行扰动,建立了相应的随机模型,并提供了均值灭绝和均值持续的可验证充分条件。灭绝的两个充分条件表明,如果疾病传播率的噪声强度足够大或足够小,随机系统的感染种群将趋于灭绝。对于持续性,我们得到了保证感染群体在均值上持续性的充分条件。最后,我们进行了一些数值模拟来比较确定性系统和随机系统的动态行为。
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引用次数: 0
A stochastic analysis of co-infection model in a finite carrying capacity population 有限承载能力群体中共同感染模型的随机分析
3区 数学 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY Pub Date : 2023-10-17 DOI: 10.1142/s1793524523500833
Qura tul Ain, Jinrong Wang
The paper focuses on the study of an epidemic model for the evolution of diseases, using stochastic models. We demonstrated the encoding of this intricate model into formalisms suitable for analysis with advanced stochastic model checkers. A co-infection model’s dynamics were modeled as an Ito–Levy stochastic differential equations system, representing a compartmental system shaped by disease complexity. Initially, we established a deterministic system based on presumptions and disease-related traits. Through non-traditional analytical methods, two key asymptotic properties: eradication and continuation in the mean were demonstrated. Section 2 provides a detailed construction of the model. Section 3 results confirm that the outcome is biologically well-behaved. Utilizing simulations, we tested and confirmed the stability of all equilibrium points. The ergodic stationary distribution and extinction conditions of the system are thoroughly analyzed. Investigations were made into the stochastic system’s probability density function, and digital simulations were employed to illustrate the probability density function and systems’ extinction. Although infectious disease control and eradication are major public health goals, global eradication proves challenging. Local disease extinction is possible, but it may reoccur. Extinction is more feasible with a lower [Formula: see text]. Notably, our simulations showed that reducing the [Formula: see text] value significantly increases the likelihood of disease extinction and reduces the probability of future recurrence. Additionally, our study provides insights into the conditions under which a disease can persist or become extinct, contributing to more effective disease control strategies in public health.
本文的重点是研究一个流行病模型的疾病演变,使用随机模型。我们演示了将这个复杂的模型编码为适合于使用高级随机模型检查器进行分析的形式。共同感染模型的动力学建模为伊藤-列维随机微分方程组,表示由疾病复杂性形成的室室系统。最初,我们建立了一个基于假设和疾病相关特征的确定性系统。通过非传统的分析方法,证明了两个关键的渐近性质:在平均值上的根除和连续。第2节提供了该模型的详细构造。第3节的结果证实,结果在生物学上表现良好。利用仿真,我们测试并确认了所有平衡点的稳定性。深入分析了系统的遍历平稳分布和消光条件。对随机系统的概率密度函数进行了研究,并采用数字仿真的方法对概率密度函数和系统消光进行了说明。虽然传染病控制和根除是主要的公共卫生目标,但全球根除证明具有挑战性。地方病有灭绝的可能,但也有复发的可能。在较低(公式:见文本)的情况下,灭绝更可行。值得注意的是,我们的模拟表明,降低[公式:见文本]值可显著增加疾病灭绝的可能性,并降低未来复发的概率。此外,我们的研究提供了对疾病持续存在或灭绝的条件的见解,有助于在公共卫生中制定更有效的疾病控制策略。
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引用次数: 0
Effect of spatial memory on a predator-prey model with herd behaviour 空间记忆对具有群体行为的捕食者-猎物模型的影响
3区 数学 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY Pub Date : 2023-10-14 DOI: 10.1142/s1793524523500821
Yahong Peng, Ke Yu, Yujing Li
In this paper, we introduce spatial memory into a predator–prey model with herd behavior. Taking memory-based diffusion coefficient and average memory period of predators as control parameters, we obtain the stable conditions of the positive equilibrium of system and prove the existence of Hopf bifurcation. In addition, a double Hopf bifurcation occurs at the intersection of the nonhomogeneous Hopf bifurcation curves, and a spatially nonhomogeneous quasi-periodic pattern can be observed near the double Hopf bifurcation point by numerical simulation.
本文将空间记忆引入到具有群体行为的捕食-食饵模型中。以基于记忆的扩散系数和捕食者的平均记忆周期为控制参数,得到了系统正平衡的稳定条件,并证明了Hopf分岔的存在性。此外,在非齐次Hopf分岔曲线的交点处出现了双Hopf分岔,并且在双Hopf分岔点附近可以观察到空间非齐次的拟周期模式。
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引用次数: 0
Impact of water stress on plants production: A study case of banana-plantain 水分胁迫对植物生产的影响:以香蕉大蕉为例
3区 数学 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY Pub Date : 2023-10-06 DOI: 10.1142/s1793524523500845
C. Kabiwa Kadje, A. Nana Yakam, S. Bowong, G. Mophou
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引用次数: 0
Mathematical analysis of a Corona virus model with Caputo, Caputo-Fabrizio-Caputo fractional and Atangana-Baleanu-Caputo differential operators 冠状病毒模型的Caputo、Caputo- fabrizio -Caputo分数算子和Atangana-Baleanu-Caputo微分算子的数学分析
3区 数学 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY Pub Date : 2023-10-06 DOI: 10.1142/s1793524523500857
Ihtisham Ul Haq, Nigar Ali, Hijaz Ahmad, Ramadan Sabra, M. Daher Albalwi, Imtiaz Ahmad
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引用次数: 0
Instability and bifurcation analysis of a diffusive predator-prey model with fear effect and delay 具有恐惧效应和时滞的扩散捕食-食饵模型的不稳定性和分岔分析
IF 2.2 3区 数学 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY Pub Date : 2023-09-05 DOI: 10.1142/s1793524523500808
Hongyan Sun, Jianzhi Cao, Pengmiao Hao, Lijie Zhang
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引用次数: 0
Dynamics of a Predator-Prey model with mutation and nonlocal effect 具有突变和非局部效应的捕食者-猎物模型动力学
IF 2.2 3区 数学 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY Pub Date : 2023-09-01 DOI: 10.1142/s1793524523500754
Bang-Sheng Han, Shao-yue Mi, Miao-Miao Wen, Lin Zhao
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引用次数: 0
Stability and spatially inhomogeneous patterns induced by nonlocal prey competition in a generalist predator-prey system 一般捕食者-猎物系统中非局部猎物竞争诱导的稳定性和空间非均匀模式
IF 2.2 3区 数学 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY Pub Date : 2023-09-01 DOI: 10.1142/s179352452350078x
Shuyang Xue, Feng Yang, Yong-Li Song
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引用次数: 0
Global stability of a quasilinear predator-prey model with indirect pursuit-evasion interaction 具有间接追逐-逃避相互作用的拟线性捕食者-猎物模型的全局稳定性
IF 2.2 3区 数学 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY Pub Date : 2023-09-01 DOI: 10.1142/s1793524523500766
Chuanjia Wan, Pan Zheng, Wenhai Shan
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引用次数: 1
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International Journal of Biomathematics
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