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Zhihua Liu, Pierre Magal (2020)
Bogdanov–Takens bifurcation in a predator–prey model with age structureZeitschrift für angewandte Mathematik und Physik, 72
Abdelheq Mezouaghi, Salih Djillali, A. Zeb, K. Nisar (2021)
Global proprieties of a delayed epidemic model with partial susceptible protection.Mathematical biosciences and engineering : MBE, 19 1
C. Lei, Y. Shen, G. Zhang, Y. Zhang (2021)
Analysis on a diffusive SEI epidemic model with/without immigration of infected hostsDiscrete Contin. Dyn. Syst., Ser. S, 14
C. McCluskey (2012)
Global stability for an SEI epidemiological model with continuous age-structure in the exposed and infectious classes.Mathematical biosciences and engineering : MBE, 9 4
W. Kermack, À. Mckendrick (1927)
A contribution to the mathematical theory of epidemicsProceedings of The Royal Society A: Mathematical, Physical and Engineering Sciences, 115
C. McCluskey (2021)
Lyapunov functions for disease models with immigration of infected hostsDiscrete Contin. Dyn. Syst., Ser. B, 26
K. Choudhary, Rajiv Kumar, Rajesh Kumar (2022)
Weak Solution and Qualitative Behavior of a Prion Proliferation Model in the Presence of ChaperoneActa Applicandae Mathematicae, 180
W. Kermack, À. Mckendrick (1991)
Contributions to the mathematical theory of epidemics—III. Further studies of the problem of endemicityBulletin of Mathematical Biology, 53
W.O. Kermack, A.G. McKendrick (1933)
Contribution to the mathematical theory of epidemics. III. Further studies on the problem of endemicityProc. R. Soc. A, 141
M. Adimy (2020)
1329Math. Biosci. Eng., 17
Soufiane Bentout, S. Djilali, A. Atangana (2021)
Bifurcation analysis of an age‐structured prey–predator model with infection developed in preyMathematical Methods in the Applied Sciences, 45
Fatima Hathout, T. Touaoula, S. Djilali (2022)
Mathematical analysis of a triple age dependent epidemiological model with including a protection strategyDiscrete & Continuous Dynamical Systems - B
M. Adimy, Abdennasser Chekroun, C. Ferreira (2019)
Global dynamics of a differential-difference system: a case of Kermack-McKendrick SIR model with age-structured protection phase.Mathematical biosciences and engineering : MBE, 17 2
F.Z. Hathout, T.M. Touaoula, S. Djilali (2022)
Mathematical analysis of a triple age dependent epidemiological model with including a protection strategyDiscrete Contin. Dyn. Syst., Ser. B, 27
C. McCluskey (2015)
Global stability for an SEI model of infectious disease with age structure and immigration of infecteds.Mathematical biosciences and engineering : MBE, 13 2
Soufiane Bentout, A. Tridane, S. Djilali, T. Touaoula (2020)
Age-Structured Modeling of COVID-19 Epidemic in the USA, UAE and AlgeriaAlexandria Engineering Journal, 60
Xiangming Zhang, Zhihua Liu (2021)
Hopf bifurcation analysis in a predator-prey model with predator-age structure and predator-prey reaction time delayApplied Mathematical Modelling, 91
(2011)
Thieme Dynamical Systems and Population Persistence
B. Perthame (2006)
Transport Equations in Biology
Pierre Magal, C. McCluskey, G. Webb (2010)
Lyapunov functional and global asymptotic stability for an infection-age modelApplicable Analysis, 89
C. McCluskey (2021)
Lyapunov functions for disease models with immigration of infected hostsDiscrete & Continuous Dynamical Systems - B
W.O. Kermack, A.G. McKendrick (1932)
Contribution to the mathematical theory of epidemics. II. The problem of endemicityProc. R. Soc. A, 138
W. Kermack, À. Mckendrick (1991)
Contributions to the mathematical theory of epidemics—II. The problem of endemicityBulletin of Mathematical Biology, 53
M. Iannelli, F. Milner (2017)
The Basic Approach to Age-Structured Population Dynamics
Gang Huang, Chenguang Nie, Yueping Dong (2019)
Global stability for an SEI model of infectious diseases with immigration and age structure in susceptibilityInternational Journal of Biomathematics
Lindsay Álvarez-Pomar, Sergio Rojas-Galeano (2021)
Impact of Personal Protection Habits on the Spread of Pandemics: Insights from an Agent-Based ModelThe Scientific World Journal, 2021
Bentout Soufiane, T. Touaoula (2016)
Global analysis of an infection age model with a class of nonlinear incidence ratesJournal of Mathematical Analysis and Applications, 434
G. Webb (1985)
Theory of Nonlinear Age-Dependent Population Dynamics
Chengxia Lei, Yi Shen, Guanghui Zhang, Yuxiang Zhang (2021)
Analysis on a diffusive SEI epidemic model with/without immigration of infected hostsDiscrete & Continuous Dynamical Systems - S
This paper studies the efficiency of protection in containing an epidemic in the case of immigration using a triple age structured model. For determining this efficiency, we split our study into two different cases, (i) with immigration flow into all model classes, (ii) without infected immigrants flow. For (i), we prove that the investigated model has no threshold dynamics and the infection always persists and the unique endemic equilibrium is globally stable. For (ii), we prove that by stopping the infected immigration flow, we obtain the threshold dynamics again. Therefore, we confirm that the infected immigration flow is responsible for eliminating the threshold dynamics. The global stability results in each case are shown with the help of the Lyapunov method. Some graphical representations are used to confirm the obtained results.
Acta Applicandae Mathematicae – Springer Journals
Published: Jun 1, 2023
Keywords: Age structured SPI model; Lyapunov functional; Uniform persistence; Total trajectory; Epidemiology; Immigration flow
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