Hopf-Hopf bifurcation and hysteresis in a COVID-19 transmission model implementing vaccination induced recovery and a modified Holling type-III treatment response

IF 4.4 2区 数学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Arpita Devi, Praveen Kumar Gupta
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引用次数: 0

Abstract

In times where treatment methods are overwhelmed and have reached a saturation state, it is necessary to examine the propagation patterns of COVID-19 to assist in the decision-making process. In light of its practical significance, this paper proposes a dynamical model while implementing vaccination of susceptibles and a modified Holling type - III treatment response in presence of waning immunity. The susceptible population is assumed to be vaccinated and are transferred to the recovered class. The model also accounts for the cases of imperfect vaccination resulting in the relapse of those individuals. To have a better comprehension of the new model, the non-negativity and boundedness of its solutions are studied. The model shows the presence of a maximum of three endemic equilibria along with a disease-free equilibrium. Transcritical bifurcation is evident for basic reproduction number greater than unity and there is the occurrence of Hopf bifurcation in the system via periodic oscillations. The direction of the Hopf bifurcation is supercritical and the unstable oscillations stabilize when the transmission rate increases. Formation of endemic bubbles in the system suggests the presence of Hopf-Hopf bifurcation. The model exhibits the phenomenon of forward hysteresis owing to the multistability of the endemic equilibria. Sensitivity analysis and data fitting illustrate the practical validity of the model along with numerical simulations. Based on these findings, the modified saturated treatment response is deemed valuable over the traditional response due to its practical relevance in the context of modern healthcare. With significant advancements in infrastructure, the limitations on medical resources are less pronounced, offering clearer insights into the evolving dynamics of COVID-19.
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来源期刊
Mathematics and Computers in Simulation
Mathematics and Computers in Simulation 数学-计算机:跨学科应用
CiteScore
8.90
自引率
4.30%
发文量
335
审稿时长
54 days
期刊介绍: The aim of the journal is to provide an international forum for the dissemination of up-to-date information in the fields of the mathematics and computers, in particular (but not exclusively) as they apply to the dynamics of systems, their simulation and scientific computation in general. Published material ranges from short, concise research papers to more general tutorial articles. Mathematics and Computers in Simulation, published monthly, is the official organ of IMACS, the International Association for Mathematics and Computers in Simulation (Formerly AICA). This Association, founded in 1955 and legally incorporated in 1956 is a member of FIACC (the Five International Associations Coordinating Committee), together with IFIP, IFAV, IFORS and IMEKO. Topics covered by the journal include mathematical tools in: •The foundations of systems modelling •Numerical analysis and the development of algorithms for simulation They also include considerations about computer hardware for simulation and about special software and compilers. The journal also publishes articles concerned with specific applications of modelling and simulation in science and engineering, with relevant applied mathematics, the general philosophy of systems simulation, and their impact on disciplinary and interdisciplinary research. The journal includes a Book Review section -- and a "News on IMACS" section that contains a Calendar of future Conferences/Events and other information about the Association.
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