Abstract
SEIRS epidemic model with Caputo–Fabrizio fractional derivative, a general incidence rate, and the time delay is considered. The main target of this work is to analyze the stability behavior and develop a numerical simulation of the fractional SEIRS model. The reproduction number \({R}_{0}\) and the order of the fractional derivative \(\beta \) play an important role in controlling the stability of the equilibrium points of the model, where it was shown that the disease-free equilibrium point \({P}_{0}\) is asymptotically stable if \({R}_{0}<1\) and unstable for \({R}_{0}>1\). The proper choice of the system parameters alongside the order of differentiation guarantee that the epidemic equilibrium point \({P}_{1}\) is asymptotically stable. The presence of a time delay in treatment and its effect on the stability behavior of the model is considered. Also, bifurcation analysis of the model depending on the time delay, \( \beta \) and the treatment rate is discussed. Numerical simulations based on a three-step Adams–Bashforth predictor technique for supporting and validating the theoretical results have been illustrated.
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Li, J., Yang, Y., Zhou, Y.: Global stability of an epidemic-model with latent stage and vaccination. Nonlinear Anal.-Real World Appl. 12, 2163–2173 (2011)
Rodrigues, H.S., Teres, M., Monteiro, T., Torres, D.F.M.: Vaccination models and optimal control strategies to dengue. Math. Biosci. 247, 1–12 (2014)
Abhishek, K., Nilam, R.K.: A short study of an SIR model with inclusion of an alert class, two explicit nonlinear incidence rates and saturated treatment rate. SeMA J. 76, 505–519 (2019)
El-sheikh, M.M.A., El-marouf, S.A.A.: On stability and bifurcation of solutions of an SEIR epidemic model with vertical transmission. IJMMS 65, 2971–2987 (2004)
Ranjit, K.U., Ashok, K.P., Sangeeta, K., Parimita, R.: Dynamics of an SEIR epidemic model with nonlinear incidence and treatment rates. Nonlinear Dyn. 96, 2351–2368 (2019)
Xie, Y., Wang, Z., Junwei, Lu., Li, Y.: Stability analysis and control strategies for a new SIS epidemic model in heterogeneous networks. Appl. Math. Comput. 383, 1–11 (2020). https://doi.org/10.1016/j.amc.2020.12538
Eckalbar, J.C., Eckalbar, W.L.: Dynamics of an epidemic model with quadratic treatment. Nonlinear Anal. 12, 320–332 (2011)
Helong, L., Houbo, X., Jingyuan, Y., Guangtian, Z.: Stability on coupling SIR epidemic model with vaccination. J. Appl. Math. 4, 301–319 (2005)
Agarwal, M., Bhadauria, A.S.: Modeling H1N1 flu epidemic with contact tracing and quarantine. Int. J. Biomath. 5, 38–57 (2012)
Kou, C.H., Yan, Y., Liu, J.: Stability analysis for fractional differential equations and their applications in models of HIV-1 infection. Comput. Mod. Eng. Sci. 39, 301–317 (2009)
Mukandavir, Z., Das, P., Cgiyaka, C., Nyabadza, F.: Global analysis of an HIV|AIDS epidemic model, world. J. Mod. Simul. 6, 231–240 (2010)
Cai, L., Li, L., Ghosh, M., Guo, B.: Stability analysis of an HIV/AIDS epidemic model with treatment. J. Comput. Appl. Math. 229, 313–323 (2009)
Abdulrazak, A.J., Ibrahim, M.O., Usman, I.O.: A seiv vaccination model with general non-linear incidence rate and waning preventive-vaccine. IOSR J. Math. 4, 44–51 (2012)
Dan, L., Zhongyi, X.: One the study of an SEIV epidemic model concerning vaccination and vertical transmission. J. Appl. Math. Bioinform. 1, 21–30 (2011)
Mei, B., Lishun, R.: An SEIV epidemic model for childhood diseases with partial permanent immunity. Comput. Math. Methods Med. 1, 1–13 (2015)
Xueyong, Z., Jingan, C.: Analysis of stability and bifurcation for an SEIV epidemic model vaccination and nonlinear incidence rates. Nonlinear Dyn. 63, 639–653 (2011)
Li-Ming, C., Xue-Zhi, L.: Analysis of a SEIV epidemic model with a nonlinear incidence rat. Appl. Math. Model. 33, 2919–2926 (2009)
Hikal, M.M.: Dynamic properties for a general SEIV epidemic model. Electron. J. Math. Anal. Appl. 2, 26–36 (2014)
Marek, B.T.: Deterministic seirs epidemic model for modeling vital dynamics, vaccinations, and temporary immunity. Mathematics 5(1–19), 1–19 (2017)
Adebimpe, O., Waheed, A.A., Gbadamosi, B.: Modeling and analysis of an SEIRS epidemic model with saturated incidence. J. Eng. Res. Appl. 3, 1111–1116 (2013)
Soovoojeet, J., Palash, H., Swapan, K.N., Kar, T.K.: Global dynamics of a SEIRS epidemic model with saturated disease transmission rate and vaccination control. Int. J. Appl. Comput. Math. 4, 301–319 (2005)
Xie, Y., Wang, Z., Meng, Bo., Huang, X.: Dynamical analysis for a fractional-order prey-predator model with Holling III type functional response and discontinuous harvest. Appl. Math. Lett. 106, 1–8 (2020). https://doi.org/10.1016/j.aml.2020.106342
Xie, Y., Wang, Z., Shen, H., Li, Y.: The dynamics of a delayed generalized fractional-order biological networks with predation behavior and material cycle. Nonlinear Anal. Model. Control 25(5), 745–765 (2020). https://doi.org/10.15388/namc.2020.25.18391
Saeedian, M., Khalighi, M., Azimi-Tafreshi, N., Jafari, G.R., Ausloos, M.: Memory effects on epidemic evolution: the susceptible-infected-recovered epidemic model. Phys. Rev. 95, 022409 (2017)
Ram, N., Agraj, T., Dileep, S.: A non linear AIDS epidemic model with screening and time delay. App. Math. Comput. 217, 4416–4426 (2011)
Hikal, M.M., Elsheikh, M.M.A., Zahra, W.K.: Stability analysis of COVID-19 model with fractional-order derivative and a delay in implementing the quarantine strategy. J. Appl. Math. Comput. (2021). https://doi.org/10.1007/s12190-021-01515-y
Hikal, M.M., El-Sheikh, M.M.A.: Stability of a general SEIV epidemic model with time delay. In: 11 th international conference of numerical analysis and applied mathematics ICNAAM 2013 Rhodes. AIP Conference Proceedings, vol. 1558, pp. 564–567 (2013)
Culshaw, R.V., Ruan, S.: A delay-differential equation model of HIV infection of CD+ 4 T-cells. Math. Biosci. 165, 27–39 (2000)
Mukandavir, Z., Garira, W., Chiyaka, C.: Asymptotic properties of an HIV/AIDS model with a time delay. J. Math. Anal. Appl. 330, 916–933 (2007)
Hikal, M.M., Zahra, W.K.: On fractional model of an HIV/AIDS with treatment and time delay. Progr. Fract. Differ. Appl. 2, 55–66 (2016)
Zahra, W.K., Hikal, M.M., Taher, A.B.: Stability analysis of an HIV/AIDS epidemic fractional order model with screening and time delay. AASCIT Commun. 2, 41–49 (2015)
Moore, E.J., Sirisubtawee, S., Koonprasert, S.: A Caputo–Fabrizio fractional differential equation model for HIV/AIDS with treatment compartment. Adv. Differ. Equ. 200, 1–20 (2019)
Losada, J., Nieto, J.J.: Properties of a new fractional derivative without singular kernel. Prog. Fract. Differ. Appl. 1(2), 87–92 (2015)
Caputo, M., Fabrizio, M.: A new definition of fractional derivative without singular kernel. Prog. Fract. Differ. Appl. 1(2), 1–13 (2015)
Driessche, V.D., Watmough, P.J.: Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission. Math. Biosci. 180, 24–48 (2002)
Ahmed, E., El-Sayed, A.M.A., El-Saka, H.A.A.: On some Routh–Hurwitz conditions for fractional order differential equations and their applications in Lorenz, Rossler, Chua and Chen systems. Phys. Lett. 358, 1–4 (2006)
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Hikal, M.M., Atteya, T.E.M., Hemeda, H.M. et al. SEIRS epidemic model with Caputo–Fabrizio fractional derivative and time delay: dynamical analysis and simulation. Ricerche mat 73, 1085–1119 (2024). https://doi.org/10.1007/s11587-021-00643-8
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DOI: https://doi.org/10.1007/s11587-021-00643-8