Zizhen Zhang

Prof. Zizhen Zhang


Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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28 August 2020 in Advances in Difference Equations
Verified
Journal Article
Open access
PDF file
ZZZizhen Zhang
Zizhen Zhang
AZAnwar Zeb
Anwar Zeb
SHSultan Hussain
Sultan Hussain
Ebraheem AlzahraniEbraheem Alzahrani
Ebraheem Alzahrani
Acknowledging many effects on humans, which are ignored in deterministic models for COVID-19, in this paper, we consider stochastic mathematical model for COVID-19. Firstly, the formulation of a stochastic susceptible–infected–recovered model is presented. Secondly, we devote with full strength our concentrated attention to sufficient conditions for extinction and persistence. Thirdly, we examine the threshold of the proposed stochastic COVID-19 model, when noise is small or large. Finally, we show the numerical simulations graphically using MATLAB.

1 February 2020 in Chaos, Solitons & Fractals
Verified
Journal Article
Closed access
ZZZizhen Zhang
Zizhen Zhang
SKS. Kundu
S. Kundu
JTJai Prakash Tripathi
Jai Prakash Tripathi
SBSarita Bugalia
Sarita Bugalia

1 October 2020 in Chaos, Solitons & Fractals
Verified
Journal Article
Closed access
ZZZizhen Zhang
Zizhen Zhang

14 August 2020 in Advances in Difference Equations
Verified
Journal Article
Open access
PDF file
ZZZizhen Zhang
Zizhen Zhang
AZAnwar Zeb
Anwar Zeb
OEOluwaseun Egbelowo
Oluwaseun Egbelowo
VEVedat Erturk
Vedat Erturk
In this work, we formulate and analyze a new mathematical model for COVID-19 epidemic with isolated class in fractional order. This model is described by a system of fractional-order differential equations model and includes five classes, namely, S (susceptible class), E (exposed class), I (infected class), Q (isolated class), and R (recovered class). Dynamics and numerical approximations for the proposed fractional-order model are studied. Firstly, positivity and boundedness of the model are established. Secondly, the basic reproduction number of the model is calculated by using the next generation matrix approach. Then, asymptotic stability of the model is investigated. Lastly, we apply the adaptive predictor–corrector algorithm and fourth-order Runge–Kutta (RK4) method to simulate the proposed model. Consequently, a set of numerical simulations are performed to support the validity of the theoretical results. The numerical simulations indicate that there is a good agreement between theoretical results and numerical ones.


1 May 2019 in Mathematics
Verified
Journal Article
Open access
PDF file
ZZZizhen Zhang
Zizhen Zhang
SKS. Kundu
S. Kundu
RWRuibin Wei
Ruibin Wei
In this paper, we investigate a delayed SEIQRS-V epidemic model for propagation of malicious codes in a wireless sensor network. The communication radius and distributed density of nodes is considered in the proposed model. With this model, first we find a feasible region which is invariant and where the solutions of our model are positive. To show that the system is locally asymptotically stable, a Lyapunov function is constructed. After that, sufficient conditions for local stability and existence of Hopf bifurcation are derived by analyzing the distribution of the roots of the corresponding characteristic equation. Finally, numerical simulations are presented to verify the obtained theoretical results and to analyze the effects of some parameters on the dynamical behavior of the proposed model in the paper.