麻疹流行模型在无病平衡状态下的局部和全局稳定性分析

P. O. Ochi, Apeh Andrew Agada, Ifeoma B. Nworah, Damascus Arinze Nworah, Achi Nathan Goni
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引用次数: 0

摘要

本研究为麻疹(风疹)爆发的动态变化建立了一个恒定招募率的连续数学模型。在该模型中,我们将人群划分为易感个体(S)、接种疫苗个体(V)、暴露个体(E)、感染个体(I)和康复个体(R)。我们分析了在人口不变的社区中麻疹流行的 SVEIR 分区非线性确定性数学模型。我们使用线性化稳定性方法对模型进行了分析研究。从下一代矩阵的最大特征值中得到了控制疾病传播的基本生殖数 R0。计算并证明,如果 R01 分别为无病平衡,则无病平衡是局部和全局渐近稳定的。最后,我们在 MATLAB 中对模型系统进行了仿真,得到了各分区的图形行为。模拟结果表明,当 R0<1 时,环境中的麻疹感染被根除。
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LOCAL AND GLOBAL STABILITY ANALYSIS OF MEASLES EPIDEMIC MODEL AT DISEASE-FREE EQUILIBRIUM
In this study, a continuous mathematical model for the dynamics of Measles (rubeola) outbreak at constant recruitment rate was formulated. In the model, we partitioned the population into Susceptible (S), Vaccinated (V), exposed (E), Infected (I) and recovered (R) individuals. We analyzed a SVEIR compartmental nonlinear deterministic mathematical model of measles epidemic in a community with constant population. Analytical studies were carried out on the model using the method of linearized stability. The basic reproductive number R0 that governs the disease transmission is obtained from the largest eigenvalue of the next-generation matrix. The disease-free equilibrium is computed and proved to be locally and globally asymptotically stable if R0<1  and unstable if R0 >1 respectively. Finally, we simulate the model system in MATLAB and obtained the graphical behavior of each compartment. From the simulation, we observed that the measles infection was eradicated in the environment when R0<1. 
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MONITORING CLIMATE EXTREME EVENTS TREND IN NIGERIA USING CLIMPACT2 SOFTWARE LONG SHORT-TERM MEMORY RECURRENT NEURAL NETWORKS FOR SHORT-TERM TRAFFIC PREDICTION AT ROAD INTERSECTIONS COMPARATIVE ANALYSIS OF CONTINUOUS PROBABILITY DISTRIBUTIONS FOR MODELING MAXIMUM FLOOD LEVELS QUALITY ASSESSMENT AND SAFETY OF COMMERCIALLY SOLD STEAK MEAT “SUYA” IN IBADAN METROPOLIS: A MENACE TO PUBLIC HEALTH LOCAL AND GLOBAL STABILITY ANALYSIS OF MEASLES EPIDEMIC MODEL AT DISEASE-FREE EQUILIBRIUM
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