The diffusion scattering parameters identification for a modified model of viral infection in the conditions of logistic dynamics of immunological cells
| dc.citation.epage | 69 | |
| dc.citation.issue | 11 | |
| dc.citation.journalTitle | Математичне моделювання та комп'ютинг | |
| dc.citation.spage | 59 | |
| dc.citation.volume | 1 | |
| dc.contributor.affiliation | Національний університет водного господарства та природокористування | |
| dc.contributor.affiliation | National University of Water and Environmental Engineering | |
| dc.contributor.author | Барановський, С. В. | |
| dc.contributor.author | Бомба, А. Я. | |
| dc.contributor.author | Baranovsky, S. V. | |
| dc.contributor.author | Bomba, A. Ya. | |
| dc.coverage.placename | Львів | |
| dc.coverage.placename | Lviv | |
| dc.date.accessioned | 2025-10-20T07:44:27Z | |
| dc.date.created | 2024-02-24 | |
| dc.date.issued | 2024-02-24 | |
| dc.description.abstract | На основі модифікації моделі інфекційного захворювання, що враховує дифузійні збурення та логістичну динаміку імунологічних клітин, запропоновано окремі підходи до ідентифікації параметрів дифузійного розсіювання для різних типів функціональної залежності коефіцієнтів дифузії та заданих умов перевизначення. Удосконалено спеціальну покрокову процедуру чисельної асимптотичної апроксимації розв'язку відповідної сингулярно збуреної модельної задачі із затримкою. Представлено результати комп'ютерних експериментів з ідентифікації невідомих параметрів дифузійного розсіювання. Зазначено, що ідентифікація та застосування змінних коефіцієнтів дифузії забезпечить точніше прогнозування динаміки інфекційного захворювання, що є важливим при прийнятті рішень щодо використання різних медичних процедур. | |
| dc.description.abstract | Based on the modification of the infectious disease model, taking into account diffusion disturbances and logistic dynamics of immunological cells, separate approaches to the diffusion scattering parameters identification for different types of functional dependence of diffusion coefficients and given redefinition conditions are proposed. A special step-by-step procedure for numerically asymptotic approximation of the solution to the corresponding singularly perturbed model problem with a delay has been improved. The results of computer experiments on identifying the unknown diffusion scattering parameters are presented. It is noted that the identification and application of variable diffusion coefficients will provide a more accurate prediction of the dynamics of an infectious disease, which is significant in decision-making regarding the use of various medical procedures. | |
| dc.format.extent | 59-69 | |
| dc.format.pages | 11 | |
| dc.identifier.citation | Baranovsky S. V. The diffusion scattering parameters identification for a modified model of viral infection in the conditions of logistic dynamics of immunological cells / S. V. Baranovsky, A. Ya. Bomba // Mathematical Modeling and Computing. — Lviv : Lviv Politechnic Publishing House, 2024. — Vol 1. — No 11. — P. 59–69. | |
| dc.identifier.citationen | Baranovsky S. V. The diffusion scattering parameters identification for a modified model of viral infection in the conditions of logistic dynamics of immunological cells / S. V. Baranovsky, A. Ya. Bomba // Mathematical Modeling and Computing. — Lviv : Lviv Politechnic Publishing House, 2024. — Vol 1. — No 11. — P. 59–69. | |
| dc.identifier.doi | 10.23939/mmc2024.01.059 | |
| dc.identifier.uri | https://ena.lpnu.ua/handle/ntb/113798 | |
| dc.language.iso | en | |
| dc.publisher | Видавництво Львівської політехніки | |
| dc.publisher | Lviv Politechnic Publishing House | |
| dc.relation.ispartof | Математичне моделювання та комп'ютинг, 11 (1), 2024 | |
| dc.relation.ispartof | Mathematical Modeling and Computing, 11 (1), 2024 | |
| dc.relation.references | [1] Marchuk G. I. Mathematical Modelling of Immune Response in Infectious Diseases. Dordrecht, Kluwer Press (1997). | |
| dc.relation.references | [2] Bocharov G., Volpert V., Ludewig B., Meyerhans A. Mathematical Immunology of Virus Infections. Springer, Cham (2018). | |
| dc.relation.references | [3] Martsenyuk V. P. Construction and study of stability of an antitumor immunity model. Cybernetics and Systems Analysis. 40 (5), 778–783 (2004). | |
| dc.relation.references | [4] Quintela B. M., Santos R. W., Lobosco M. On the coupling of two models of the human immune response to an antigen. BioMed Research International. 2014, 410457 (2014). | |
| dc.relation.references | [5] Chimal-Eguia J. C. Mathematical Model of Antiviral Immune Response against the COVID-19 Virus. Mathematics. 9 (12), 1356 (2021). | |
| dc.relation.references | [6] Bomba A., Baranovsky S., Pasichnyk M., Pryshchepa O. Modelling of the Infectious Disease Process with Taking into Account of Small-Scale Spatial-ly Distributed Influences. 2020 IEEE 15th International Conference on Computer Sciences and Information Technologies (CSIT 2020). 2, 62–65 (2020). | |
| dc.relation.references | [7] Bomba A., Baranovsky S., Pasichnyk M., Malash K. Modeling of Infectious Disease Dynamics under the Conditions of Spatial Perturbations and Taking into account Impulse Effects. Proceedings of the 3rd International Conference on Informatics and Data-Driven Medicine IDDM (2020). 2753, 119–128 (2020). | |
| dc.relation.references | [8] Baranovsky S. V., Bomba A. Ya., Lyashko S I. Generalization of the antiviral immune response model for complex consideration of diffusion perturbations, body temperature response, and logistic antigen population dynamics. Cybernetics and Systems Analysis. 58 (4), 576–592 (2022). | |
| dc.relation.references | [9] Bomba A., Baranovsky S., Blavatska O., Bachyshyna L. Infectious disease model generalization based on diffuse perturbations under conditions of body’s temperature reaction. Computers in Biology and Medicine. 146, 105561 (2022). | |
| dc.relation.references | [10] Ivanchov M. Inverse problems for equations of parabolic type. Math. Studies, Monograph Ser. Lviv, VNTL Publ. Vol. 10. (2003). | |
| dc.relation.references | [11] Bomba A. Ya., Safonyk A. P., Fursachyk O. A. Solving inverse singularly perturbed problems – mathematical models of filtering processes. Mathematical modeling. Dniprodzerzhynsk, DDTU. 1 (20), 62–65 (2009). | |
| dc.relation.references | [12] Soetaert K., Cash J. R., Mazzia F. Solving Differential Equations in R. Springer-Verlag Berlin and Heidelberg GmbH and Co. KG (2012). | |
| dc.relation.references | [13] Malachivskyy P. S., Melnychok L. S., Pizyur Ya. V. Chebyshev approximation of multivariable functions by the exponential expression. Cybernetics and Systems Analysis. 57 (3), 429–435 (2021). | |
| dc.relation.references | [14] Malachivskyy P. S., Pizyur Ya. V., Danchak N. V., Orazov E. B. Chebyshev approximation by exponential- power expression. Cybernetics and Systems Analysis. 49 (6), 877–881 (2013). | |
| dc.relation.references | [15] Vasil’eva A. B, Butuzov V. F., Nefedov N. N. Singularly perturbed problems with boundary and internal layers. Proceedings of the Steklov Institute of Mathematics. 268, 258–273 (2010). | |
| dc.relation.references | [16] Chernukha O., Chuchvara A. Modeling of the flows of admixtures in a random layered strip with probable arrangement of inclusions near the boundaries of the body. Journal of Mathematical Sciences. 238 (2), 116–128 (2019). | |
| dc.relation.references | [17] Chaplya Y., Chernukha O., Bilushchak Y. Mathematical modeling of the averaged concentration field in random stratified structures with regard for jumps of an unknown function on interfaces. of Mathematical Sciences. 225 (1), 62–74 (2018). | |
| dc.relation.referencesen | [1] Marchuk G. I. Mathematical Modelling of Immune Response in Infectious Diseases. Dordrecht, Kluwer Press (1997). | |
| dc.relation.referencesen | [2] Bocharov G., Volpert V., Ludewig B., Meyerhans A. Mathematical Immunology of Virus Infections. Springer, Cham (2018). | |
| dc.relation.referencesen | [3] Martsenyuk V. P. Construction and study of stability of an antitumor immunity model. Cybernetics and Systems Analysis. 40 (5), 778–783 (2004). | |
| dc.relation.referencesen | [4] Quintela B. M., Santos R. W., Lobosco M. On the coupling of two models of the human immune response to an antigen. BioMed Research International. 2014, 410457 (2014). | |
| dc.relation.referencesen | [5] Chimal-Eguia J. C. Mathematical Model of Antiviral Immune Response against the COVID-19 Virus. Mathematics. 9 (12), 1356 (2021). | |
| dc.relation.referencesen | [6] Bomba A., Baranovsky S., Pasichnyk M., Pryshchepa O. Modelling of the Infectious Disease Process with Taking into Account of Small-Scale Spatial-ly Distributed Influences. 2020 IEEE 15th International Conference on Computer Sciences and Information Technologies (CSIT 2020). 2, 62–65 (2020). | |
| dc.relation.referencesen | [7] Bomba A., Baranovsky S., Pasichnyk M., Malash K. Modeling of Infectious Disease Dynamics under the Conditions of Spatial Perturbations and Taking into account Impulse Effects. Proceedings of the 3rd International Conference on Informatics and Data-Driven Medicine IDDM (2020). 2753, 119–128 (2020). | |
| dc.relation.referencesen | [8] Baranovsky S. V., Bomba A. Ya., Lyashko S I. Generalization of the antiviral immune response model for complex consideration of diffusion perturbations, body temperature response, and logistic antigen population dynamics. Cybernetics and Systems Analysis. 58 (4), 576–592 (2022). | |
| dc.relation.referencesen | [9] Bomba A., Baranovsky S., Blavatska O., Bachyshyna L. Infectious disease model generalization based on diffuse perturbations under conditions of body’s temperature reaction. Computers in Biology and Medicine. 146, 105561 (2022). | |
| dc.relation.referencesen | [10] Ivanchov M. Inverse problems for equations of parabolic type. Math. Studies, Monograph Ser. Lviv, VNTL Publ. Vol. 10. (2003). | |
| dc.relation.referencesen | [11] Bomba A. Ya., Safonyk A. P., Fursachyk O. A. Solving inverse singularly perturbed problems – mathematical models of filtering processes. Mathematical modeling. Dniprodzerzhynsk, DDTU. 1 (20), 62–65 (2009). | |
| dc.relation.referencesen | [12] Soetaert K., Cash J. R., Mazzia F. Solving Differential Equations in R. Springer-Verlag Berlin and Heidelberg GmbH and Co. KG (2012). | |
| dc.relation.referencesen | [13] Malachivskyy P. S., Melnychok L. S., Pizyur Ya. V. Chebyshev approximation of multivariable functions by the exponential expression. Cybernetics and Systems Analysis. 57 (3), 429–435 (2021). | |
| dc.relation.referencesen | [14] Malachivskyy P. S., Pizyur Ya. V., Danchak N. V., Orazov E. B. Chebyshev approximation by exponential- power expression. Cybernetics and Systems Analysis. 49 (6), 877–881 (2013). | |
| dc.relation.referencesen | [15] Vasil’eva A. B, Butuzov V. F., Nefedov N. N. Singularly perturbed problems with boundary and internal layers. Proceedings of the Steklov Institute of Mathematics. 268, 258–273 (2010). | |
| dc.relation.referencesen | [16] Chernukha O., Chuchvara A. Modeling of the flows of admixtures in a random layered strip with probable arrangement of inclusions near the boundaries of the body. Journal of Mathematical Sciences. 238 (2), 116–128 (2019). | |
| dc.relation.referencesen | [17] Chaplya Y., Chernukha O., Bilushchak Y. Mathematical modeling of the averaged concentration field in random stratified structures with regard for jumps of an unknown function on interfaces. of Mathematical Sciences. 225 (1), 62–74 (2018). | |
| dc.rights.holder | © Національний університет “Львівська політехніка”, 2024 | |
| dc.subject | модель інфекційного захворювання | |
| dc.subject | ідентифікація параметрів | |
| dc.subject | динамічні системи із запізненням | |
| dc.subject | асимптотичні методи | |
| dc.subject | сингулярно збурені задачі | |
| dc.subject | логістична динаміка | |
| dc.subject | infectious disease model | |
| dc.subject | parameter identification | |
| dc.subject | dynamic systems with delay | |
| dc.subject | asymptotic method | |
| dc.subject | singularly perturbed problem | |
| dc.subject | logistic dynamics | |
| dc.title | The diffusion scattering parameters identification for a modified model of viral infection in the conditions of logistic dynamics of immunological cells | |
| dc.title.alternative | Ідентифікація параметрів дифузійного розсіювання модифікованої моделі вірусної інфекції в умовах логістичної динаміки імунологічних клітин | |
| dc.type | Article |
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