Journal of Applied Nonlinear Dynamics
Global Stability Analysis for a Generalized SEIR Epidemic Model with Vaccination and Treatment
Journal of Applied Nonlinear Dynamics 14(1) (2025) 67--85 | DOI:10.5890/JAND.2025.03.005
Amine Bernoussi$^1$, Khalid Hattaf$^{2,3}$, Brahim El Boukari$^4$
$^1$ Laboratory: '{E}quations aux d'{e}riv'{e}es partielles, Alg`{e}bre et G'{e}om'{e}trie spectrales,
Faculty of Science, Ibn Tofail
University, BP 133, 14000 Kenitra, Morocco
$^{2}$ Equipe de Recherche en Mod'elisation et Enseignement des Math'ematiques (ERMEM) Centre R'egional des
M'etiers de l'Education et de la Formation (CRMEF), 20340 Derb Ghalef, Casablanca, Morocco
$^{3}$ Laboratory of Analysis, Modeling and Simulation (LAMS), Faculty of Sciences Ben M'Sick, Hassan II University
of Casablanca, P.O Box 7955 Sidi Othman, Casablanca, Morocco
$^4$ Laboratory of Applied Mathematics and Scientific Calculus (LMACS), Higher school of technology,
Sultan
Moulay Slimane University, 23000 B'eni Mellal, Morocco
Download Full Text PDF
Abstract
The aim of this work is to propose and investigate the global stability of a delayed SEIR epidemic model with a generalized incidence function.
The proposed model also includes general treatment function and vaccination term. Using the Lyapunov functions in the absence of delay, we show
that the disease-free steady state is globally asymptotically stable if $R_{0} \leq 1$, and the disease-endemic
steady state is globally asymptotically stable if $R_{0} > 1$, where $R_{0}$ is the basic reproduction number.
For specific functions which are given to the treatment function and the incidence function, we show that the vaccination and early
treatment play an important role in healing. Moreover, numerical simulations are given to illustrate and confirm our main analytical results.
References
-
[1]  | Dubey, B., Dubey, P., and Dubey, U.S. (2015), Dynamics of an SIR model with nonlinear incidence and treatment rate,
Applications and Applied Mathematics: An International Journal (AAM), 10, 718-737.
|
-
[2]  | Elazzouzi, A., Alaoui, A.A., Tilioua, M., and Tridane, A. (2019), Global stability analysis for a generalized
delayed SIR model with vaccination and treatment, Advances in Difference Equations,
2019(1), 1-19.
|
-
[3]  | Khan, M.A., Badshah, Q., Islam, S., Khan, I., Shafie, S., and Khan, S.A. (2015), Global dynamics of SEIRS epidemic model with
non-linear generalized incidences and preventive vaccination, Advances in Difference Equations, (2015), 1-18.
|
-
[4]  | Bernoussi, A. (2021), Bifurcation of periodic solution of a delayed SEIR epidemic model with
nonlinear incidence rate, Journal of Applied Nonlinear Dynamics, 10, 351-367.
|
-
[5]  | Abta, A., Kaddar, A., and Alaoui, H.T. (2012), Global stability for delay SIR and SEIR epidemic models with saturated incidence rates,
Electronic Journal of Differential Equations, 2012, 1-13.
|
-
[6]  | Zhang, J., Jia, J., and Song, X. (2014), Analysis of an SEIR epidemic model with saturated incidence and saturated treatment function,
The Scientific World Journal, 2014, 1-11.
|
-
[7]  | Liu, J. (2019), Bifurcation analysis for a delayed SEIR epidemic model with saturated incidence and saturated treatment function,
Journal of Biological Dynamics, 13, 461-480.
|
-
[8]  | Umdekar, S., Sharma, P.K., and Sharma, S. (2023), An SEIR model with modified saturated incidence rate and Holling type II treatment function,
Computational and Mathematical Biophysics, 11, 1-14.
|
-
[9]  | Bernoussi, A. and Hattaf, K. (2021), Global dynamics of an SIRSI epidemic model with discrete delay and general incidence rate,
Journal of Applied Nonlinear Dynamics, 10, 545-560.
|
-
[10]  | Hattaf, K., Lashari, A., Louartassi, Y., and Yousfi, N. (2013), A delayed SIR epidemic model with a generalized incidence rate,
Electronic Journal of Qualitative Theory of Differential Equations, \texttt{2013}, 1-9.
|
-
[11]  | Bj{\o}rnstad, N., Shea, K., Krzywinski, M., and Altman, N. (2020), The SEIRS model for infectious disease dynamics, journal of Nature Methods, 17, 557-558.
|
-
[12]  | Gabriela, M., Gomes, M., White, L.J., and Medley, G.F. (2005), The reinfection threshold, Journal of Theoretical Biology, 236, 111-113.
|
-
[13]  | Guo, H., Li, M.Y., and Shuai, Z. (2006), Global stability of the endemic equilibrium of multigroup SIR epidemic models, In: Canadian Applied Mathematics Quarterly, 14, 259-284.
|
-
[14]  | Jiang, Z. and Wei, J. (2008), Stability and bifurcation analysis in a delayed SIR model, Chaos Solitons and Fractals, 35, 609-619.
|
-
[15]  | Hethcote, H.W. (2000), The mathematics of infectious diseases, In: SIAM
Review, 42, 599-653.
|
-
[16]  | Kermack, W.O. and McKendrick, A.G. (1927), A contribution to the mathematical theory of epidemics, In: Proceedings of the Royal Society of
London A: Mathematical, Physical and Engineering Sciences 115, 772. The Royal Society, 700-721.
|
-
[17]  | Mena-Lorcat, J. and Hethcote, H.W. (1992), Dynamic models of infectious diseases as regulators of population sizes,
In: Journal of Mathematical Biology, 30, 693-716.
|
-
[18]  | Wang, W. and Ruan, S. (2004), Bifurcation in epidemic model with constant removal rate infectives, Journal of Mathematical
Analysis and Applications, 291, 775-793.
|
-
[19]  | Zhang, F., Li, Z.Z., and Zhang, F. (2008), Global stability of an SIR epidemic model with constant
infectious period, Applied Mathematics and Computation, 199, 285-291.
|
-
[20]  | Zhou, Y. and Liu, H. (2003), Stability of periodic solutions for an SIS model with pulse vaccination, Mathematical and Computer Modelling, 38, 299-308.
|
-
[21]  | Capasso, V. (1978), Global solution for a dikusive nonlinear deterministic epidemic model, In: SIAM Journal on Applied Mathematics, 35(2), 274-284.
|
-
[22]  | Capasso, V. and Serio, G. (1978), A generalization of the Kermack-McKendrick
deterministic epidemic model, In: Mathematical Biosciences, 42(1), 43-61.
|
-
[23]  | Capasso, V., Grosso, E., and Serio, G. (1978), I modelli matematici nella indagine
epidemiologica. Applicazione allepidemia di colera verificatasi in Bari nel
1973, In: Annali Sclavo, 19, 193-208.
|
-
[24]  | Alshammari, F.S. and Akyildiz, F.T. (2021), Global stability for novel complicated SIR epidemic models with the nonlinear recovery rate and transfer from being infectious to being susceptible to analyze the transmission of COVID-19, Journal of Function Spaces, 2021(1), p.5207152.
|
-
[25]  | Liu, J. (2019), Bifurcation analysis for a delayed SEIR epidemic
model with saturated incidence and saturated
treatment function, Journal of Biological Dynamics, 13(1), 461-480.
|
-
[26]  | Xu, R. and Ma, Z. (2009), Stability of a delayed SIRS epidemic model with a nonlinear incidence rate,
Chaos, Solitons $\&$ Fractals, 41(5), 2319-2325.
|
-
[27]  | Anderson, R.M. and May, R.M. (1978), Regulation and stability of host-parasite population interactions:
I. Regulatory processes, The Journal of Animal Ecology, 47(1), 219-267.
|
-
[28]  | Beddington, J.R. (1975), Mutual interference between parasites or predators and its effect on searching efficiency, The Journal of Animal Ecology, 44, 331-341.
|
-
[29]  | Jong, M.C.M., Diekmann, O., and Heesterbeek, H. (1995), How does transmission of infection
depend on population size In: Epidemic models: their structure and relation to data,
Mollison D. (Ed.), Cambridge University Press, Cambridge, (1995), 84-94.
|
-
[30]  | Hattaf, K. and Yousfi, N. (2016), A class of delayed viral infection models with general incidence rate and adaptive immune response,
International Journal of Dynamics and Control, 4, 254-265.
|
-
[31]  | Riad, D., Hattaf, K., and Yousfi, N. (2016), Dynamics of Capital-labour Model with Hattaf-Yousfi Functional Response,
Journal of Advances in Mathematics and Computer Science, 18, 1-7.
|
-
[32]  | Korobeinikov, A. and Maini, P.K. (2005), Non-linear incidence and stability of
infectious disease models, In: Mathematical Medicine and Biology, 22(2), 113-128.
|
-
[33]  | Tang, Q., Teng, Z., and Abdurahman, X. (2017), A new Lyapunov function
for SIRS epidemic models, In: Bulletin of the Malaysian Mathematical
Sciences Society, 40(1), 237-258.
|
-
[34]  | Avila-Vales, E.J. and Cervantes-Perez, A.G. (2019), Global stability for SIRS epidemic models with general
incidence rate and transfer from infectious to susceptible, Boletin de la Sociedad Mathematica Mexicana, 25, 637-658.
|
-
[35]  | Bernoussi, A. (2023), Stability analysis of an SIR epidemic model with homestead-isolation on the susceptible
and infectious, immunity, relapse and general incidence rate, International Journal of Biomathematics, 16(5), p.2250102,
https://doi.org/10.1142/S1793524522501029.
|
-
[36]  | Bernoussi, A. (2019), Global stability analysis of an SEIR epidemic model with relapse and general
incidence rates, Journals of Applied Sciences (APPS), 21, 54-68.
|
-
[37]  | Kuang, Y. (1993), Delay Differential Equations with Applications in Population Dynamics, Academic Press, San Diego.
|
-
[38]  | LaSalle, J.P. (1976), The stability of dynamical systems, Regional Conference Series in Applied Mathematics, SIAM,
Philadelphia.
|
-
[39]  | Hale, J.K. and Verduyn Lunel, S.M. (1993),
Introduction to Functional Differential Equations, Springer Verlag, New York.
|
-
[40]  | Bernoussi, A. (2023), Sufficient condition of the Bifurcation for a Dynamic System of three Equations and Application, Journal of Applied Nonlinear Dynamics, 12(1), 99-112.
|
-
[41]  | Bernoussi, A. and Jerry, C. (2023), Effect of disease-induced death rate and latent period on global stability for SIRS epidemic models with general incidence rate, Journal of Applied Nonlinear Dynamics, 12(3), 497-521.
|
-
[42]  | Balamuralitharan, S. and Radha, M. (2018), Bifurcation analysis in SIR epidemic model with treatment, National Conference on Mathematical Techniques and its Applications (NCMTA 18), 1000(1), 012169.
|
-
[43]  | Huang, C., Wang, J., Chen, X., and Cao, J. (2021), Bifurcations in a fractional-order BAM neural network with four different delays,
Neural Networks, 141, 344-354.
|
-
[44]  | Xu, C., Mu, D., Liu, Z., Pang, Y., Liao, M., and Aouiti, C. (2023),
New insight into bifurcation of fractional-order 4D neural networks incorporating two different time delays,
Communications in Nonlinear Science and Numerical Simulation, 118, 107043.
|
-
[45]  | Xu, C., Liu, Z., Li, P., Yan, J., and Yan, L. (2022),
Bifurcation mechanism for fractional-order three-triangle multi-delayed neural networks, Neural Processing Letters, 55(5), 6125-6151.
|
-
[46]  | Xu, C., Zhang, W., Aouiti, C., Liu, Z., and Yao, L. (2023), Bifurcation insight for a fractional-order stage-structured predator-prey system
incorporating mixed time delays, Mathematical Methods in the Applied Sciences, 46(8), 9103-9118.
|
-
[47]  | Xu, C., Mu, D., Liu, Z., Pang, Y., Liao, M., Li, P., Yao, L., and Qin, Q. (2022), Comparative exploration on bifurcation behavior for integer-order and fractional-order delayed BAM neural networks, Nonlinear Analysis: Modelling and Control, 27(6), 1030-1053.
|
-
[48]  | Ou, W., Xu, C., Cui, Q., Liu, Z., Pang, Y., Farman, M., Ahmad, M., and Zeb, A. (2023),
Mathematical study on bifurcation dynamics and control mechanism of tri-neuron bidirectional associative memory neural networks including delay,
Mathematical Methods in the Applied Sciences, DOI: 10.1002/mma.9347.
|
-
[49]  | Xu, C., Rahman, M., Baleanu, D. (2022), On fractional-order symmetric oscillator with offset-boosting control,
Nonlinear Analysis: Modelling and Control, 27, 994-1008.
|
-
[50]  | Xu, C., Liao, M., Li, P., Guo, Y., and Liu, Z. (2021),
Bifurcation properties for fractional order delayed BAM neural networks, Cognitive Computation, 13, 322-356.
|
-
[51]  | Hattaf, K. (2022), On the stability and numerical scheme of fractional differential equations with application to biology,
Computation, 10, 1-12.
|
-
[52]  | Hattaf, K. (2020), A new generalized definition of fractional derivative with non-singular kernel,
Computation, 8, 1-9.
|