Computation and analysis of optimal disturbances of stationary solutions of the hepatitis B dynamics model
-
Michael Yu. Khristichenko
, Yuri M. Nechepurenko
Abstract
Optimal disturbances of a number of typical stationary solutions of the hepatitis B virus infection dynamics model have been found. Specifically optimal disturbances have been found for stationary solutions corresponding to various forms of the chronic course of the disease, including those corresponding to the regime of low-level virus persistence. The influence of small optimal disturbances of individual groups of variables on the stationary solution is studied. The possibility of transition from stable stationary solutions corresponding to chronic forms of hepatitis B to stable stationary solutions corresponding to the state of functional recovery or a healthy organism using optimal disturbances is studied. Optimal disturbances in this study were constructed on the basis of generalized therapeutic drugs characterized by one-compartment and two-compartment pharmacokinetics.
Funding statement: The work was supported by the Russian Science Foundation (Grant No. 22–11–00025).
References
[1] G. A. Bocharov and G. I. Marchuk, Applied problems of mathematical modelling in immunology. Comput. Math. Math. Phys. 40 (2000), No. 12, 1905–1920.Search in Google Scholar
[2] G. A. Bocharov, Yu. M. Nechepurenko, M. Yu. Khristichenko, and D. S. Grebennikov, Maximum response perturbation-based control of virus infection model with time-delays. Russ. J. Numer. Anal. Math. Modell. 32 (2017), No. 5, 275–291.10.1515/rnam-2017-0027Search in Google Scholar
[3] G. A. Bocharov, Yu. M. Nechepurenko, M. Yu. Khristichenko, and D. S. Grebennikov, Optimal disturbances of bistable time-delay systems modeling virus infections. Doklady Math. 98 (2018), No. 1, 313–316.10.1134/S1064562418050058Search in Google Scholar
[4] G. A. Bocharov, Yu. M. Nechepurenko, M. Yu. Khristichenko, and D. S. Grebennikov, Optimal perturbations of systems with delayed independent variables for control of dynamics of infectious diseases based on multicomponent actions. J. Math. Sci. 253 (2021), 618–641.10.1007/s10958-021-05258-wSearch in Google Scholar
[5] M. Yu. Khristichenko, Yu. M. Nechepurenko, D. S. Grebennikov, and G. A. Bocharov, Modelling chronic hepatitis B using the Marchuk–Petrov model. J. Phys.: Conf. Ser. 2099 (2021), No. 012036.10.1088/1742-6596/2099/1/012036Search in Google Scholar
[6] M. Yu. Khristichenko, Yu. M. Nechepurenko, D. S. Grebennikov, and G. A. Bocharov, Numerical analysis of stationary solutions of time-delay systems in mathematical immunology. Contemporary Math. Fundamental Directions 68 (2022), No. 4, 686–703.10.22363/2413-3639-2022-68-4-686-703Search in Google Scholar
[7] G. I. Marchuk, Mathematical Modelling of Immune Response in Infectious Diseases. Kluwer, Dordrecht, 1997.10.1007/978-94-015-8798-3Search in Google Scholar
[8] G. I. Marchuk, Selected Works. Vol. 4. Moscow, 2018 (in Russian).Search in Google Scholar
[9] G. I. Marchuk, A. A. Romanyukha, and G. A. Bocharov, Mathematical model of antiviral immune response. II. Parameters identification for acute viral hepatitis B. J. Theor. Biol. 151 (1991), 41–69.10.1016/S0022-5193(05)80143-2Search in Google Scholar PubMed
[10] Yu. M. Nechepurenko and M. Yu. Khristichenko, Computation of optimal disturbances for delay systems. Comput. Math. Math. Phys. 59 (2019), No. 5, 731-746.10.1134/S0965542519050129Search 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.2020166Search in Google Scholar
[12] 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. Modell. 35 (2020), No. 2, 95–110.10.1515/rnam-2020-0008Search in Google Scholar
[13] E. Hairer and G. Wanner, Solving Ordinary Differential Equations. Springer-Verlag, Berlin, 1996.10.1007/978-3-642-05221-7Search in Google Scholar
[14] R. M. Zinkernagel and H. Hengartner, Protective ‘immunity’ by pre-existent neutralizing antibody titers and preactivated T cells but not by so-called ‘immunological memory’. Immunological Reviews 211 (2006), No. 1, 310–319.10.1111/j.0105-2896.2006.00402.xSearch in Google Scholar PubMed
© 2024 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- The Burr distribution as an asymptotic law for extreme order statistics and its application to the analysis of statistical regularities in the interplanetary magnetic field
- Hidden attractors and nonlocal oscillations in gene networks models
- Computation and analysis of optimal disturbances of stationary solutions of the hepatitis B dynamics model
- On the accuracy of shock-capturing schemes when calculating Cauchy problems with periodic discontinuous initial data
- Constructing low-rank Tucker tensor approximations using generalized completion
- The Editorial Board of the Journal with deep regret is announcing the death of Prof. Yuri Alekseevich KUZNETSOV aged 79, on January 30, 2024
Articles in the same Issue
- Frontmatter
- The Burr distribution as an asymptotic law for extreme order statistics and its application to the analysis of statistical regularities in the interplanetary magnetic field
- Hidden attractors and nonlocal oscillations in gene networks models
- Computation and analysis of optimal disturbances of stationary solutions of the hepatitis B dynamics model
- On the accuracy of shock-capturing schemes when calculating Cauchy problems with periodic discontinuous initial data
- Constructing low-rank Tucker tensor approximations using generalized completion
- The Editorial Board of the Journal with deep regret is announcing the death of Prof. Yuri Alekseevich KUZNETSOV aged 79, on January 30, 2024