Threshold dynamics of an SEAIR epidemic model with application to COVID-19
Volume 15, Issue 2, pp 136--151
http://dx.doi.org/10.22436/jnsa.015.02.05
Publication Date: December 08, 2021
Submission Date: September 26, 2021
Revision Date: October 17, 2021
Accteptance Date: November 19, 2021
Authors
Z. Zheng
- School of Mathematics and Statistics, Shandong Normal University, Jinan, 250014, P. R. China.
Y. Yang
- School of Mathematics and Statistics, Shandong Normal University, Jinan, 250014, P. R. China.
Abstract
In this paper, a Susceptible-Exposed-Asymptomatic-Infectious-Recovered (SEAIR) epidemic model with application to COVID-19 is established by capturing the key features of the disease. The global dynamics of the model is analyzed by constructing appropriate Lyapunov functions utilizing the basic reproduction number \(R_0\) as an index. We obtain that when \(R_{0}<1\), the disease-free equilibrium is globally asymptotically stable. While for \(R_{0}>1\), the endemic equilibrium is globally asymptotically stable. Furthermore, we consider the pulse vaccination for the disease and give an impulsive differential equations model. The definition of the basic reproduction number \(R_{0}\) of this system is given by utilizing the next generation operator. By the comparison theorem and persistent theory, we obtain that when \(R_{0}<1\)}, the disease-free periodic solution is globally asymptotically stable. Otherwise, the disease will persist and there will be at least one nontrivial periodic solution. Numerical simulations to verify our conclusions are given at the end of each of these theorems.
Share and Cite
ISRP Style
Z. Zheng, Y. Yang, Threshold dynamics of an SEAIR epidemic model with application to COVID-19, Journal of Nonlinear Sciences and Applications, 15 (2022), no. 2, 136--151
AMA Style
Zheng Z., Yang Y., Threshold dynamics of an SEAIR epidemic model with application to COVID-19. J. Nonlinear Sci. Appl. (2022); 15(2):136--151
Chicago/Turabian Style
Zheng, Z., Yang, Y.. "Threshold dynamics of an SEAIR epidemic model with application to COVID-19." Journal of Nonlinear Sciences and Applications, 15, no. 2 (2022): 136--151
Keywords
- COVID-19
- SEAIR
- Lyapunov function
- global stability
- pulse vaccination
- persistent theory
MSC
References
-
[1]
P. Agarwal, R. P. Agarwal, M. Ruzhansky, Special Functions and Analysis of Differential Equations, Chapman and Hall/CRC, New York (2020)
-
[2]
P. Agarwal, D. Baleanu, Y. Q. Chen, S. Momani, J. A. T. Machado, Fractional Calculus, Springer, Singapore (2018)
-
[3]
P. Agarwal, S. Deniz, S. Jain, A. A. Alderremy, S. Aly, A new analysis of a partial differential equation arising in biology and population genetics via semi analytical techniques Physica A: Statistical Mechanics and its Applications, Physisa A, 542 (2020), 12 pages
-
[4]
P. Agarwal, S. S. Dragomir, M. Jleli, B. Samet, Advances in Mathematical Inequalities and Applications, Birkhäuser/Springer, Singapore (2018)
-
[5]
P. Agarwal, J. J. Nieto, M. Ruzhansky, D. F. M. Torres, Analysis of Infectious Disease Problems (Covid-19) and Their Global Impact, Springer Singapore, Singapore (2021)
-
[6]
A. Atangana, Modelling the spread of COVID-19 with new fractal-fractional operators: Can the lockdown save mankind before vaccination?, Chaos Solitons Fractals, 136 (2020), 38 pages
-
[7]
A. Atangana, S. I. Araz, Mathematical model of COVID-19 spread in Turkey and South Africa: theory, methods, and applications, Adv. Difference Equ., 2020 (2020), 89 pages
-
[8]
A. Atangana, S. I. Araz, Modeling and forecasting the spread of COVID-19 with stochastic and deterministic approaches: Africa and Europe, Adv. Difference Equ., 2021 (2021), 107 pages
-
[9]
I. A. Baba, A. Yusuf, K. S. Nisar, A. H. Abdel-Aty, T. A. Nofal, Mathematical model to assess the imposition of lockdown during COVID-19 pandemic, Results Phys., 20 (2021), 10 pages
-
[10]
L. Basnarkov, SEAIR Epidemic spreading model of COVID-19, Chaos Solitons Fractals, 142 (2021), 15 pages
-
[11]
L. D. Domenico, G. Pullano, C. E. Sabbatini, P. Y. Boelle, V. Colizza, Expected impact of reopening schools after lockdown on COVID-19 epidemic in Ile-de-France, Nat. Commun., 12 (2021), 12 pages
-
[12]
G. Giordano, F. Blanchini, R. Bruno, P. Colaneri, A. Di Filippo, A. Di Matteo, M. Colaneri, Modelling the COVID-19 epidemic and implementation of population-wide interventions in Italy, Nat. Med., 26 (2020), 1--6
-
[13]
X. He, E. H. Y. Lau, P. Wu, X. L. Deng, J. Wang, X. X. Hao, Y. C. Lau, J. Y. Wong, Y. J. Guan, X. G. Tan, X. N. Mo, Y. Q. Chen, B. L. Liao, W. L. Chen, F. G. Hu, Q. Zhang, M. Q. Zhong, Y. R. Wu, L. Z. Zhao, F. C. Zhang, B. J. Cowling, F. Li, G. M. Leung, Temporal dynamics in viral shedding and transmissibility of COVID-19, Nat. Med., 26 (2020), 672--675
-
[14]
G. Hussain, T. Khan, A. Khan, M. Inc, G. Zaman, K. S. Nisar, A. Akgül, Modeling the dynamics of novel coronavirus (COVID-19) via stochastic epidemic model, Alexandria Eng. J., 60 (2021), 4121-4130
-
[15]
H. K. Khalil, Nonlinear Systems, Prentice-Hall, Upper Saddle River (2002)
-
[16]
A. Korobeinikov, Lyapunov functions and global stability for SIR and SIRS epidemiological models with non-linear transmission, Bull. Math. Biology, 30 (2006), 615--626
-
[17]
A. Korobeinikov, P. K. Maini, Non-linear incidence and stability of infectious disease models, Math. Med. Biol., 22 (2005), 113--128
-
[18]
J. P. LaSalle, The Stability of Dynamical Systems,in: Regional Conference Series in Applied Mathematics, SIAM, Philadelaphia (1976)
-
[19]
S. A. Lauer, K. H. Grantz, Q. Bi, F. K. Jones, Q. Zheng, H. R. Meredith, A. S. Azman, N. G. Reich, J. Lessler, The incubation period of coronavirus disease 2019 (COVID-19) from publicly reported confirmed cases: estimation and application, Ann. Intern. Med., 172 (2020), 577--582
-
[20]
X. Li, M. Bohner, C. Wang, Impulsive differential equations: Periodic solutions and applications, Automatica, 52 (2015), 173--178
-
[21]
J. Q. Li, X. Xie, Y. M. Chen, A new way of constructing Lyapunov functions with application to an SI epidemic model, Appl. Math. Lett., 113 (2021), 5 pages
-
[22]
J. Q. Li, Y. L. Yang, Y. C. Zhou, Global stability of an epidemic model with latent stage and vaccination, Nonlinear Anal. Real World Appl., 12 (2011), 2163--2173
-
[23]
A. Rehman, R. Singh, P. Agarwal, Modeling, analysis and prediction of new variants of covid-19 and dengue co-infection on complex network, Chaos Solitons Fractals, 150 (2021), 19 pages
-
[24]
M. Ruzhansky, Y. J. Cho, P. Agarwal, I. Area, Advances in Real and Complex Analysis with Applications, Birkhäuser/Springer, Singapore (2017)
-
[25]
S. Salahshour, A. Ahmadian, N. Senu, D. Baleanu, P. Agarwal, On Analytical Solutions of the Fractional Differential Equation with Uncertainty: Application to the Basset Problem, Entropy, 17 (2015), 885--902
-
[26]
A. S. Shaikh, I. N. Shaikh, K. Nisar, A mathematical model of COVID-19 using fractional derivative: outbreak in India with dynamics of transmission and control, Adv. Difference Equ., 2020 (2020), 19 pages
-
[27]
B. Shulgin, L. Stone, Z. Agur, ulase Vaccination Strategy in the SIR Epidemic Model, Bull. Math. Biol., 60 (1998), 1123--1148
-
[28]
L. Stone, B. Shulgin, Z. Agur, Theoretical examination of the pulse vaccination policy in the SIR epidemic model, Math. Compu. Modelling, 31 (2000), 207--215
-
[29]
B. Tang, X. Wang, Q. Li, N. L. Bragazzi, S. Tang, Y. Xiao, J. Wu, Estimation of the Transmission Risk of the 2019nCoV and Its Implication for Public Health Interventions, J. Clin. Med., 9 (2020), 13 pages
-
[30]
R. ud Din, A. R. Seadawy, K. Shah, A. Ullah, D. Baleanu, Study of global dynamics of COVID-19 via a new mathematical model, Results Phys., 19 (2020), 13 pages
-
[31]
P. van den Driessche, J. Watmough, Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission, Math. Biosc., 180 (2002), 29--48
-
[32]
Y. Wang, M. M. Lu, J. Liu, Global stability of a delayed virus model with latent infection and Beddington-DeAngelis infection function, Appl. Math. Lett., 107 (2020), 9 pages
-
[33]
W. D. Wang, X.-Q. Zhao, Threshold Dynamics for Compartmental Epidemic Models in Periodic Environments, J. Dynam. Differential Equations, 20 (2008), 699--717
-
[34]
Y. Yang, Y. Xiao, Threshold dynamics for an HIV model in periodic environments, J. Math. Anal. Appl., 361 (2010), 59--68
-
[35]
Y. P. Yang, Y. Xiao, The effects of population dispersal and pulse vaccination on disease control, Math. Comput. Modelling, 52 (2010), 1591--1604
-
[36]
X.-Q. Zhao, Dynamical Systems in Population Biology, Springer-Verlag, New York (2003)