دورية أكاديمية

An Approach for the Global Stability of Mathematical Model of an Infectious Disease

التفاصيل البيبلوغرافية
العنوان: An Approach for the Global Stability of Mathematical Model of an Infectious Disease
المؤلفون: Mojtaba Masoumnezhad, Maziar Rajabi, Amirahmad Chapnevis, Aleksei Dorofeev, Stanford Shateyi, Narges Shayegh Kargar, Hassan Saberi Nik
المصدر: Symmetry, Vol 12, Iss 11, p 1778 (2020)
بيانات النشر: MDPI AG, 2020.
سنة النشر: 2020
المجموعة: LCC:Mathematics
مصطلحات موضوعية: global stability, epidemic model, Lyapunov function, Volterra–Lyapunov stability, Mathematics, QA1-939
الوصف: The global stability analysis for the mathematical model of an infectious disease is discussed here. The endemic equilibrium is shown to be globally stable by using a modification of the Volterra–Lyapunov matrix method. The basis of the method is the combination of Lyapunov functions and the Volterra–Lyapunov matrices. By reducing the dimensions of the matrices and under some conditions, we can easily show the global stability of the endemic equilibrium. To prove the stability based on Volterra–Lyapunov matrices, we use matrices with the symmetry properties (symmetric positive definite). The results developed in this paper can be applied in more complex systems with nonlinear incidence rates. Numerical simulations are presented to illustrate the analytical results.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2073-8994
Relation: https://www.mdpi.com/2073-8994/12/11/1778; https://doaj.org/toc/2073-8994
DOI: 10.3390/sym12111778
URL الوصول: https://doaj.org/article/6208826f1b6b4b53a0067bb3a5ed44f0
رقم الأكسشن: edsdoj.6208826f1b6b4b53a0067bb3a5ed44f0
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20738994
DOI:10.3390/sym12111778