Burcu Gürbüz
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Burcu Gürbüz has a total of 36 co-authors. Here are the top co-authors by number of shared publications:
- Aytül Gökçe
Ordu University
7 shared publications Mehmet Sezer
Department of Mathematics
7 shared publicationsAytül Gökçe
4 shared publicationsM. Sezer
Manisa Celal Bayar University, Department of Mathematics, Faculty of Art and Science, Manisa, Turkey
3 shared publications- Mehmet Sezer
Department of Mathematics, Manisa Celal Bayar University, Manisa, Turkey
3 shared publications - Alan D. Rendall
Institut für Mathematik, Johannes Gutenberg Universität Mainz 2 , Mainz, Germany
2 shared publications
Latest Publications
- Open Access
- 7 August 2026
- Published by Springer Nature in Ricerche di Matematica
- p. 1-25
Global stability and uniform persistence in an epidemic model with saturating fomite-mediated transmission
We analyse the global dynamics of a Susceptible–Vaccinated–Exposed–Infected–Recovered (SVEIR) epidemic model with demographic turnover, imperfect vaccination, and two transmission routes: direct host-to-host contagion and indirect transmission via contaminated fomites. Indirect transmission is described through an environmental pathogen concentration and a Holling-type dose–response function, accounting for nonlinear incidence at high contamination levels. Threshold conditions separating disease elimination from long-term persistence are expressed in terms of the control reproduction number $$\mathcal R_c$$ , and the classical threshold condition $$\mathcal R_c<1$$ is derived for the local asymptotic stability of the disease-free equilibrium. For the Holling type II case, we further obtain an explicit closed-form sufficient condition for the global asymptotic stability of the disease-free equilibrium by applying the Kamgang–Sallet approach for monotone systems with a Metzler infected subsystem. In the absence of vaccination, this criterion recovers the sharp threshold $$\mathcal R_0\le 1$$ for the global asymptotic stability of the disease-free equilibrium, where $$\mathcal R_0$$ denotes the basic reproduction number. Conversely, when $$\mathcal R_c>1$$ , we establish uniform persistence of the infection and the existence of at least one endemic equilibrium using persistence theory for semiflows and an acyclicity analysis of the boundary dynamics. Overall, our results quantify the combined impact of vaccination and saturating fomite-mediated transmission on the global behaviour of the model.- 7 August 2026
- Published by Springer Nature in Ricerche di Matematica
- p. 1-25
Open AccessGlobal stability and uniform persistence in an epidemic model with saturating fomite-mediated transmission
We analyse the global dynamics of a Susceptible–Vaccinated–Exposed–Infected–Recovered (SVEIR) epidemic model with demographic turnover, imperfect vaccination, and two transmission routes: direct host-to-host contagion and indirect transmission via contaminated fomites. Indirect transmission is described through an environmental pathogen concentration and a Holling-type dose–response function, accounting for nonlinear incidence at high contamination levels. Threshold conditions separating disease elimination from long-term persistence are expressed in terms of the control reproduction number $$\mathcal R_c$$ , and the classical threshold condition $$\mathcal R_c<1$$ is derived for the local asymptotic stability of the disease-free equilibrium. For the Holling type II case, we further obtain an explicit closed-form sufficient condition for the global asymptotic stability of the disease-free equilibrium by applying the Kamgang–Sallet approach for monotone systems with a Metzler infected subsystem. In the absence of vaccination, this criterion recovers the sharp threshold $$\mathcal R_0\le 1$$ for the global asymptotic stability of the disease-free equilibrium, where $$\mathcal R_0$$ denotes the basic reproduction number. Conversely, when $$\mathcal R_c>1$$ , we establish uniform persistence of the infection and the existence of at least one endemic equilibrium using persistence theory for semiflows and an acyclicity analysis of the boundary dynamics. Overall, our results quantify the combined impact of vaccination and saturating fomite-mediated transmission on the global behaviour of the model. - Open Access
- 1 January 2026
- Published by American Institute of Mathematical Sciences (AIMS) in Electronic Research Archive
- Vol. 34 (11) , 8625-8649
Modeling and analysis of a novel two-strain dengue epidemics model considering secondary infections with increased mortality
In this study, we developed and analyzed a deterministic two-strain host–vector model for dengue transmission incorporating temporary cross-immunity, antibody-dependent enhancement (ADE), disease-induced mortality during secondary infections, and explicit DENV–DENV co-infection in mosquitoes. The model distinguishes primary and secondary human infections and allows co-infected mosquitoes to contribute to strain-specific transmission. We derived the basic reproduction number $ \mathcal{R}_0 $ and established the local stability of the disease-free equilibrium, while heterologous invasion of a one-strain endemic state was characterized through the corresponding invasion dynamics. Center-manifold analysis and numerical continuation revealed backward bifurcation, bistability between disease-free and endemic states, and Hopf-induced oscillations. Numerical simulations further illustrated transitions between disease-free, endemic, and periodic regimes. These results show how ADE, waning cross-immunity, and mosquito co-infection can jointly generate complex multi-strain dengue dynamics and provide a mechanistic framework for examining how the serotype composition of the vector population influences subsequent human infections.- 1 January 2026
- Published by American Institute of Mathematical Sciences (AIMS) in Electronic Research Archive
- Vol. 34 (11) , 8625-8649
Open AccessModeling and analysis of a novel two-strain dengue epidemics model considering secondary infections with increased mortality
In this study, we developed and analyzed a deterministic two-strain host–vector model for dengue transmission incorporating temporary cross-immunity, antibody-dependent enhancement (ADE), disease-induced mortality during secondary infections, and explicit DENV–DENV co-infection in mosquitoes. The model distinguishes primary and secondary human infections and allows co-infected mosquitoes to contribute to strain-specific transmission. We derived the basic reproduction number $ \mathcal{R}_0 $ and established the local stability of the disease-free equilibrium, while heterologous invasion of a one-strain endemic state was characterized through the corresponding invasion dynamics. Center-manifold analysis and numerical continuation revealed backward bifurcation, bistability between disease-free and endemic states, and Hopf-induced oscillations. Numerical simulations further illustrated transitions between disease-free, endemic, and periodic regimes. These results show how ADE, waning cross-immunity, and mosquito co-infection can jointly generate complex multi-strain dengue dynamics and provide a mechanistic framework for examining how the serotype composition of the vector population influences subsequent human infections. - Open Access
- 19 April 2025
- Published by Elsevier in Chaos, Solitons & Fractals
- Vol. 196
An SIRS-model considering waning efficacy and periodic re-vaccination
- 19 April 2025
- Published by Elsevier in Chaos, Solitons & Fractals
- Vol. 196
Open AccessAn SIRS-model considering waning efficacy and periodic re-vaccination
- Open Access
- 21 March 2025
- Published by Elsevier in Mathematics and Computers in Simulation
- Vol. 234, 497-513
Dynamical behavior and bifurcation analysis for a theoretical model of dengue fever transmission with incubation period and delayed recovery
- 21 March 2025
- Published by Elsevier in Mathematics and Computers in Simulation
- Vol. 234, 497-513
Open AccessDynamical behavior and bifurcation analysis for a theoretical model of dengue fever transmission with incubation period and delayed recovery
- Open Access
Dynamical behavior and bifurcation analysis for a theoretical model of dengue fever transmission with incubation period and delayed recovery
As offered by the World Health Organisation (WHO), close to half of the population in the world's resides in dengue-risk zones. Dengue viruses are transmitted to individuals by Aedes mosquito species infected bite (Ae. Albopictus of Ae. aegypti). These mosquitoes can transmit other viruses, including Zika and Chikungunya. In this research, a mathematical model is formulated to reflect different time delays considered in both extrinsic and intrinsic incubation periods, as well as in the recovery periods of infectious individuals. Preliminary results for the non-delayed model including positivity and boundedness of solutions, non-dimensionalization and equalibria analysis are presented. The threshold parameter (reproduction number) of the model is obtained via next generation matrix schemes. The stability analysis of the model revealed that various dynamical behaviour can be observed depending on delay parameters, where in particular the effect of delay in the recovery time of infectious individuals may lead to substantial changes in the dynamics. The ideas presented in this paper can be applied to other infectious diseases, providing qualitative evaluations for understanding time delays influencing the transmission dynamics.
Open AccessDynamical behavior and bifurcation analysis for a theoretical model of dengue fever transmission with incubation period and delayed recovery
As offered by the World Health Organisation (WHO), close to half of the population in the world's resides in dengue-risk zones. Dengue viruses are transmitted to individuals by Aedes mosquito species infected bite (Ae. Albopictus of Ae. aegypti). These mosquitoes can transmit other viruses, including Zika and Chikungunya. In this research, a mathematical model is formulated to reflect different time delays considered in both extrinsic and intrinsic incubation periods, as well as in the recovery periods of infectious individuals. Preliminary results for the non-delayed model including positivity and boundedness of solutions, non-dimensionalization and equalibria analysis are presented. The threshold parameter (reproduction number) of the model is obtained via next generation matrix schemes. The stability analysis of the model revealed that various dynamical behaviour can be observed depending on delay parameters, where in particular the effect of delay in the recovery time of infectious individuals may lead to substantial changes in the dynamics. The ideas presented in this paper can be applied to other infectious diseases, providing qualitative evaluations for understanding time delays influencing the transmission dynamics.
- Open Access
- 14 February 2025
- Published by Taylor & Francis in International Journal of Computer Mathematics
- Vol. 102 (6) , 812-829
A comprehensive numerical investigation of a coupled mathematical model of neuronal excitability
- 14 February 2025
- Published by Taylor & Francis in International Journal of Computer Mathematics
- Vol. 102 (6) , 812-829
Open AccessA comprehensive numerical investigation of a coupled mathematical model of neuronal excitability
- Open Access
A comprehensive numerical investigation of a coupled mathematical model of neuronal excitability
Being an example for a relaxation oscillator, the FitzHugh-Nagumo model has been widely employed for describing the generation of action potentials. In this paper, we begin with a biological interpretation of what the subsequent mathematical and numerical analyses of the model entail. The interaction between action potential variable and recovery variable is then revisited through linear stability analysis around the equilibrium and local stability conditions are determined. Analytical results are compared with numerical simulations. The study aims to show an alternative approach regarding Taylor polynomials and constructed difference scheme which play a key role in the numerical approach for the problem. The robustness of the schemes is investigated in terms of convergency and stability of the techniques. This systematic approach by the combination of numerical techniques provides beneficial results which are uniquely designed for the FitzHugh-Nagumo model. We describe the matrix representations with the collocation points. Then the method is applied in order to acquire a system of nonlinear algebraic equations. On the other hand, we apply finite difference scheme and its stability is also performed. Moreover, the numerical simulations are shown. Consequently, a comprehensive investigation of the related model is examined.
Open AccessA comprehensive numerical investigation of a coupled mathematical model of neuronal excitability
Being an example for a relaxation oscillator, the FitzHugh-Nagumo model has been widely employed for describing the generation of action potentials. In this paper, we begin with a biological interpretation of what the subsequent mathematical and numerical analyses of the model entail. The interaction between action potential variable and recovery variable is then revisited through linear stability analysis around the equilibrium and local stability conditions are determined. Analytical results are compared with numerical simulations. The study aims to show an alternative approach regarding Taylor polynomials and constructed difference scheme which play a key role in the numerical approach for the problem. The robustness of the schemes is investigated in terms of convergency and stability of the techniques. This systematic approach by the combination of numerical techniques provides beneficial results which are uniquely designed for the FitzHugh-Nagumo model. We describe the matrix representations with the collocation points. Then the method is applied in order to acquire a system of nonlinear algebraic equations. On the other hand, we apply finite difference scheme and its stability is also performed. Moreover, the numerical simulations are shown. Consequently, a comprehensive investigation of the related model is examined.
- Open Access
- 28 December 2024
- Published by Hacettepe University in Hacettepe Journal of Mathematics and Statistics
- Vol. 53 (6) , 1542-1559
A numerical approach for a dynamical system of fractional infectious disease problem
In this investigation, we study for a dynamical system aimed at elucidating a disease model under the influence of environmental stress from a broad perspective. The model is articulated through both standard differential equations and their Caputo fractional form. Our methodology involves a numerical approach using the Adams-Bashforth-Moulton technique to solve the system of differential equations, including the initial conditions. The existence, uniqueness and convergence of the technique are also briefly discussed. This study aims not only to improve the current technique, but also to introduce a novel design for obtaining numerical solutions to issues discussed in the existing literature, thus paving the way for further research. We also perform a stability analysis focusing on the coexistence equilibrium. In addition, we present visualisations of the results to elucidate the behaviour of the system, time evolution and phase plane plots with respect to specific parameters.
- 28 December 2024
- Published by Hacettepe University in Hacettepe Journal of Mathematics and Statistics
- Vol. 53 (6) , 1542-1559
Open AccessA numerical approach for a dynamical system of fractional infectious disease problem
In this investigation, we study for a dynamical system aimed at elucidating a disease model under the influence of environmental stress from a broad perspective. The model is articulated through both standard differential equations and their Caputo fractional form. Our methodology involves a numerical approach using the Adams-Bashforth-Moulton technique to solve the system of differential equations, including the initial conditions. The existence, uniqueness and convergence of the technique are also briefly discussed. This study aims not only to improve the current technique, but also to introduce a novel design for obtaining numerical solutions to issues discussed in the existing literature, thus paving the way for further research. We also perform a stability analysis focusing on the coexistence equilibrium. In addition, we present visualisations of the results to elucidate the behaviour of the system, time evolution and phase plane plots with respect to specific parameters.
- Open Access
- 24 February 2024
- Published by Elsevier in Nonlinear Analysis: Real World Applications
- Vol. 78
Dynamics of a mathematical model of virus spreading incorporating the effect of a vaccine
- 24 February 2024
- Published by Elsevier in Nonlinear Analysis: Real World Applications
- Vol. 78
Open AccessDynamics of a mathematical model of virus spreading incorporating the effect of a vaccine
- Open Access
- 16 January 2024
- Published by MDPI AG in Fractal and Fractional
- Vol. 8 (1) , 59
Numerical and Analytical Methods for Differential Equations and Systems
The theory and applications of differential equations have played an essential role both in the development of mathematics and in exploring new horizons in the applied sciences
- 16 January 2024
- Published by MDPI AG in Fractal and Fractional
- Vol. 8 (1) , 59
Open AccessNumerical and Analytical Methods for Differential Equations and Systems
The theory and applications of differential equations have played an essential role both in the development of mathematics and in exploring new horizons in the applied sciences