[1] P. Baydemir, H. Merdan, E. Karaoglu, et al., Complex dynamics of a discrete-time prey–predator system with Leslie type, International Journal of Bifurcation and Chaos, 30(10) (2020), Article ID 2050149, https://doi.org/10.1142/S0218127420501497
[2] S. Chomcheon, Y. Lenbury, W. Sarika, Stability, Hopf bifurcation and effects of impulsive antibiotic treatments in a model of drug resistance with conversion delay, Adv. Differ. Equ., 274 (2019), 1-18.
[3] M. E. Hajji, M. F. S. Aloufi, M. H. Alharbi, Influence of seasonality on Zika virus transmission[J], AIMS Mathematics, 9(7) (2024), 19361-19384.
[4] A. F. Nindjin, M. A. Aziz-Alaoui, M. Cadivel, Analysis of a predator–prey model with modified Leslie–Gower and Holling-type II schemes with time delay, Nonlinear Analysis: Real World Applications, 7(5) (2006), 1104-1118.
[5] S. Olaniyi, Dynamics of Zika virus model with nonlinear incidence and optimal control strategies, Appl. Math. Inf. Sci., 12 (5) (2018), 969-982.
[6] R. P. Singh, Bifurcation and stability analysis of delayed SIR model, J. Phys.: Conf. Ser., 2267 (2022), https://doi.org/10.1088/1742-6596/2267/1/012011
[7] L. Wang, X. Wu, Stability and Hopf bifurcation for an SEIR epidemic model with delay, Advances in the Theory of Nonl. Anal. and its Appl., 2(3) (2018), 113-127.
[8] C. Çelik, H. Merdan, Hopf bifurcation analysis of a system of coupled delayed-differential equations, Appl. Math. Comput., 219(12) (2013), 6605-6617.
[9] E. Karaoğlu, H. Merdan, Hopf bifurcations of a ratio-dependent predator–prey model involving two discrete maturation time delays, Chaos Solitons Fract., 68 (2014), 159-168.
[10] J. Li, Y. Kuang, Analysis of a model of the glucose-insulin regulatory system with two delays, SIAM J. Appl. Math., 67(3) (2007), 757-776.
[11] X. Lin, H. Wang, Stability analysis of delay differential equations with two discrete delays, Can. Appl. Math. Q., 20 (2012), 519-533.
[12] S. Bewick, W. F. Fagan, J. Calabrese, et al., Zika virus: Endemic versus epidemic dynamics and implications for disease spread in the Americas, bioRxiv 2016:041897. https://doi.org/10.1101/041897
[13] F. B. Agusto, S. Bewick, W. F. Fagan, Mathematical model of Zika virus with vertical transmission, Infect. Dis. Model., 2(2) (2017), 244-267.
[14] E. Bonyah, K. Okosun, Mathematical modeling of Zika virus, Asian Pacif. J. Trop. Dis., 6 (2016), 673-679.
[15] S. K. Biswas, U. Ghosh, S. Sarkar, A mathematical model of Zika virus transmission with saturated incidence and optimal control: A case study of 2016 Zika outbreak in Puerto Rico, International Journal of Modelling and Simulation, 44(3) (2023), 172–189.
[16] C. Ding, N. Tao, Y. Zhu, A mathematical model of Zika virus and its optimal control, 35th Chinese Control Conference (CCC), (2016), 2642-2645.
[17] A. J. Kucharski, S. Funk, R. M. Eggo, et al., Transmission dynamics of Zika virus in island populations: A modelling analysis of the 2013–14 French Polynesia outbreak, PLoS Negl. Trop. Dis., 10(5) (2016), Article ID e0004726, https://doi.org/10.1371/journal.pntd.0004726
[18] R. Kara, M. Meyvacı, Hopf bifurcation analysis of time-delay Zika virus model, Proceeding of e International Hybrid Conference on Mathematical Development and Applications (ICOMAA-24), (2024), 106-114.
[19] Y. Yang, G. Huang, Y. Dong, Stability and Hopf bifurcation of an HIV infection model with two time delays, Math Biosci Eng., 20(2) (2022), 1938-1959.
[20] B. D. Hassard, N. D. Kazarinoff, Y. H. Wan, Theory and Applications of Hopf Bifurcation, Cambridge University Press, Cambridge, UK, 1981.
Hopf Bifurcation Analysis of a Zika Virus Transmission Model with Two Time Delays
This study focuses on a mathematical model of Zika virus transmission that incorporates multiple time delays. The inclusion of time delays in the model takes into account the incubation period in humans and the latency of disease transmission from mosquitoes. The qualitative behavior of the model was examined in four different conditions by analyzing the characteristic equation corresponding to the endemic equilibrium point. Furthermore, the two distinct time lags were selected as the bifurcation parameter, while the existence of a Hopf bifurcation at the endemic equilibrium point for threshold parameters was confirmed. Subsequently, numerical simulations were used to validate the theoretical analysis for each case using MATLAB.
It is declared that during the preparation process of this study, scientific and ethical principles were followed and all the studies benefited from are stated in the bibliography.
References
[1] P. Baydemir, H. Merdan, E. Karaoglu, et al., Complex dynamics of a discrete-time prey–predator system with Leslie type, International Journal of Bifurcation and Chaos, 30(10) (2020), Article ID 2050149, https://doi.org/10.1142/S0218127420501497
[2] S. Chomcheon, Y. Lenbury, W. Sarika, Stability, Hopf bifurcation and effects of impulsive antibiotic treatments in a model of drug resistance with conversion delay, Adv. Differ. Equ., 274 (2019), 1-18.
[3] M. E. Hajji, M. F. S. Aloufi, M. H. Alharbi, Influence of seasonality on Zika virus transmission[J], AIMS Mathematics, 9(7) (2024), 19361-19384.
[4] A. F. Nindjin, M. A. Aziz-Alaoui, M. Cadivel, Analysis of a predator–prey model with modified Leslie–Gower and Holling-type II schemes with time delay, Nonlinear Analysis: Real World Applications, 7(5) (2006), 1104-1118.
[5] S. Olaniyi, Dynamics of Zika virus model with nonlinear incidence and optimal control strategies, Appl. Math. Inf. Sci., 12 (5) (2018), 969-982.
[6] R. P. Singh, Bifurcation and stability analysis of delayed SIR model, J. Phys.: Conf. Ser., 2267 (2022), https://doi.org/10.1088/1742-6596/2267/1/012011
[7] L. Wang, X. Wu, Stability and Hopf bifurcation for an SEIR epidemic model with delay, Advances in the Theory of Nonl. Anal. and its Appl., 2(3) (2018), 113-127.
[8] C. Çelik, H. Merdan, Hopf bifurcation analysis of a system of coupled delayed-differential equations, Appl. Math. Comput., 219(12) (2013), 6605-6617.
[9] E. Karaoğlu, H. Merdan, Hopf bifurcations of a ratio-dependent predator–prey model involving two discrete maturation time delays, Chaos Solitons Fract., 68 (2014), 159-168.
[10] J. Li, Y. Kuang, Analysis of a model of the glucose-insulin regulatory system with two delays, SIAM J. Appl. Math., 67(3) (2007), 757-776.
[11] X. Lin, H. Wang, Stability analysis of delay differential equations with two discrete delays, Can. Appl. Math. Q., 20 (2012), 519-533.
[12] S. Bewick, W. F. Fagan, J. Calabrese, et al., Zika virus: Endemic versus epidemic dynamics and implications for disease spread in the Americas, bioRxiv 2016:041897. https://doi.org/10.1101/041897
[13] F. B. Agusto, S. Bewick, W. F. Fagan, Mathematical model of Zika virus with vertical transmission, Infect. Dis. Model., 2(2) (2017), 244-267.
[14] E. Bonyah, K. Okosun, Mathematical modeling of Zika virus, Asian Pacif. J. Trop. Dis., 6 (2016), 673-679.
[15] S. K. Biswas, U. Ghosh, S. Sarkar, A mathematical model of Zika virus transmission with saturated incidence and optimal control: A case study of 2016 Zika outbreak in Puerto Rico, International Journal of Modelling and Simulation, 44(3) (2023), 172–189.
[16] C. Ding, N. Tao, Y. Zhu, A mathematical model of Zika virus and its optimal control, 35th Chinese Control Conference (CCC), (2016), 2642-2645.
[17] A. J. Kucharski, S. Funk, R. M. Eggo, et al., Transmission dynamics of Zika virus in island populations: A modelling analysis of the 2013–14 French Polynesia outbreak, PLoS Negl. Trop. Dis., 10(5) (2016), Article ID e0004726, https://doi.org/10.1371/journal.pntd.0004726
[18] R. Kara, M. Meyvacı, Hopf bifurcation analysis of time-delay Zika virus model, Proceeding of e International Hybrid Conference on Mathematical Development and Applications (ICOMAA-24), (2024), 106-114.
[19] Y. Yang, G. Huang, Y. Dong, Stability and Hopf bifurcation of an HIV infection model with two time delays, Math Biosci Eng., 20(2) (2022), 1938-1959.
[20] B. D. Hassard, N. D. Kazarinoff, Y. H. Wan, Theory and Applications of Hopf Bifurcation, Cambridge University Press, Cambridge, UK, 1981.
Meyvacı, M. (2025). Hopf Bifurcation Analysis of a Zika Virus Transmission Model with Two Time Delays. Journal of Mathematical Sciences and Modelling, 8(1), 13-21. https://doi.org/10.33187/jmsm.1607113
AMA
Meyvacı M. Hopf Bifurcation Analysis of a Zika Virus Transmission Model with Two Time Delays. Journal of Mathematical Sciences and Modelling. March 2025;8(1):13-21. doi:10.33187/jmsm.1607113
Chicago
Meyvacı, Müge. “Hopf Bifurcation Analysis of a Zika Virus Transmission Model With Two Time Delays”. Journal of Mathematical Sciences and Modelling 8, no. 1 (March 2025): 13-21. https://doi.org/10.33187/jmsm.1607113.
EndNote
Meyvacı M (March 1, 2025) Hopf Bifurcation Analysis of a Zika Virus Transmission Model with Two Time Delays. Journal of Mathematical Sciences and Modelling 8 1 13–21.
IEEE
M. Meyvacı, “Hopf Bifurcation Analysis of a Zika Virus Transmission Model with Two Time Delays”, Journal of Mathematical Sciences and Modelling, vol. 8, no. 1, pp. 13–21, 2025, doi: 10.33187/jmsm.1607113.
ISNAD
Meyvacı, Müge. “Hopf Bifurcation Analysis of a Zika Virus Transmission Model With Two Time Delays”. Journal of Mathematical Sciences and Modelling 8/1 (March 2025), 13-21. https://doi.org/10.33187/jmsm.1607113.
JAMA
Meyvacı M. Hopf Bifurcation Analysis of a Zika Virus Transmission Model with Two Time Delays. Journal of Mathematical Sciences and Modelling. 2025;8:13–21.
MLA
Meyvacı, Müge. “Hopf Bifurcation Analysis of a Zika Virus Transmission Model With Two Time Delays”. Journal of Mathematical Sciences and Modelling, vol. 8, no. 1, 2025, pp. 13-21, doi:10.33187/jmsm.1607113.
Vancouver
Meyvacı M. Hopf Bifurcation Analysis of a Zika Virus Transmission Model with Two Time Delays. Journal of Mathematical Sciences and Modelling. 2025;8(1):13-21.