Startseite Computation of periodic solutions to models of infectious disease dynamics and immune response
Artikel
Lizenziert
Nicht lizenziert Erfordert eine Authentifizierung

Computation of periodic solutions to models of infectious disease dynamics and immune response

  • M. Yu. Khristichenko EMAIL logo und Yu. M. Nechepurenko
Veröffentlicht/Copyright: 14. April 2021

Abstract

The paper is focused on computation of stable periodic solutions to systems of delay differential equations modelling the dynamics of infectious diseases and immune response. The method proposed here is described by an example of the well-known model of dynamics of experimental infection caused by lymphocytic choriomeningitis viruses. It includes the relaxation method for forming an approximate periodic solution, a method for estimating the approximate period of this solution based on the Fourier series expansion, and a Newton-type method for refining the approximate period and periodic solution. The results of numerical experiments are presented and discussed. The proposed method is compared to known ones.

MSC 2010: 97M60; 34K10; 65L07; 37N25; 34K28; 34L16

Funding statement: The research was supported by the Moscow Center for Fundamental and Applied Mathematics (agreement with the Ministry of Education and Science of the Russian Federation No. 075–15–2019–1624) (numerical experiments and analysis of their results) and the Russian Science Foundation (Grant No. 17–71–20149) (development and implementation of proposed numerical methods).

Acknowledgment

The authors are grateful to the reviewers for their useful comments.

References

[1] G. A. Bocharov, Modelling the dynamics of LCMV infection in mice: conventional and exhaustive CTL responses. J. Theor. Biol. 192 (1998), No. 3, 283–308.10.1006/jtbi.1997.0612Suche in Google Scholar

[2] K. Engelborghs, T. Luzyanina, K. J. in ’t Hout, D. Roose, Collocation methods for the computation of periodic solutions of delay differential equations. SIAM J. Sci. Comp. 22 (2001), No. 5, 1593–1609.10.1137/S1064827599363381Suche in Google Scholar

[3] K. Engelborghs, T. Luzyanina, and D. Roose, Numerical bifurcation analysis of delay differential equations. J. Comp. Appl. Math. 125 (2000), No. 1-2, 265–275.10.1142/9789812792617_0175Suche in Google Scholar

[4] K. Engelborghs, T. Luzyanina, and D. Roose, Numerical bifurcation analysis of delay differential equations using DDE-BIFTOOL. ACM Trans. Math. Softw. 28 (2002), No. 1, 1–21.10.1145/513001.513002Suche in Google Scholar

[5] G. E. Forsythe, M. A. Malcolm, and C. B. Moler, Computer Methods for Mathematical Computations. Prentice-Hall, Englewood Cliffs, 1977.Suche in Google Scholar

[6] E. Hairer and G. Wanner, Solving Ordinary Differential Equations. Springer-Verlag, Berlin, 1996.10.1007/978-3-642-05221-7Suche in Google Scholar

[7] J. K. Hale, Theory of Functional Differential Equations. Springer-Verlag, New York, 1977.10.1007/978-1-4612-9892-2Suche in Google Scholar

[8] D. Kahaner, C. Moler, and S. Nash, Numerical Methods and Software. Prentice-Hall, Englewood Cliffs, 1977.Suche in Google Scholar

[9] G. I. Marchuk, Mathematical Models in Immunology. Optimization Software Inc. Publications Division, New York, 1983.Suche in Google Scholar

[10] G. I. Marchuk, R. V. Petrov, A. A. Romanyukha, and G. A. Bocharov, Mathematical model of antiviral immune response. I. Data analysis, generalized picture construction and parameters evaluation for hepatitis B. J. Theor. Biol. 151 (1991), No. 1, 1–40.10.1016/S0022-5193(05)80142-0Suche in Google Scholar

[11] Yu. M. Nechepurenko, M. Yu. Khristichenko, D. S. Grebennikov, and G. A. Bocharov, Bistability analysis of virus infection models with time delays. Discrete and Continuous Dynamical Systems Series S 13 (2020), No. 9, 2385–2401.10.3934/dcdss.2020166Suche in Google Scholar

[12] D. Roose and R. Szalai, Continuation and Bifurcation Analysis of Delay Differential Equations/ Numerical Continuation Methods for Dynamical Systems: Path Following and Boundary Value Problems. Springer Netherlands, Dordrecht, 2007.10.1007/978-1-4020-6356-5_12Suche in Google Scholar

[13] R. Seydel, Practical Bifurcation and Stability Analysis. Springer-Verlag, New York, 2009.10.1007/978-1-4419-1740-9Suche in Google Scholar

[14] J. Sieber, K. Engelborghs, T. Luzyanina, G. Samaey, and D. Roose, DDE-BIFTOOL Manual — Bifurcation Analysis of Delay Differential Equations. ArXiv:1406.7144 [Math], June 27, 2014.Suche in Google Scholar

[15] E. V. Sklyarova, Yu. M. Nechepurenko, and G. A. Bocharov, Numerical steady state analysis of the Marchuk–Petrov model of antiviral immune response. Russ. J. Numer. Anal. Math. Modelling 35 (2020), No. 2, 95–110.10.1515/rnam-2020-0008Suche in Google Scholar

[16] G. W. Stewart, Simultaneous iteration for computing invariant subspaces of non-Hermitian matrices. Numer. Math. 25 (1976), No. 2, 123–126.10.1007/BF01462265Suche in Google Scholar

[17] G. Szego, Orthogonal Polynomials, American Mathematical Society Colloquium Publications. AMS, New York, 1939.10.1090/coll/023Suche in Google Scholar

Received: 2020-11-23
Accepted: 2021-01-27
Published Online: 2021-04-14
Published in Print: 2021-04-27

© 2021 Walter de Gruyter GmbH, Berlin/Boston

Heruntergeladen am 3.12.2025 von https://www.degruyterbrill.com/document/doi/10.1515/rnam-2021-0008/html
Button zum nach oben scrollen