Generalizing the Infectious Disease Model to Account for Sorption Therapy in Conditions of Diffusion Disorders

Author:

Baranovsky S. V.,Bomba A. Ya.

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Reference18 articles.

1. G. I. Marchuk, Mathematical Models of Immune Response in Infectious Diseases, Springer, Dordrecht (1997). https://doi.org/10.1007/978-94-015-8798-3.

2. A. Bomba, S. Baranovsky, M. Pasichnyk, and O. Pryshchepa, “ Modelling of the infectious disease process with taking into account of small-scale spatially distributed influences,” in: IEEE 15th Intern. Conf. on Computer Sciences and Information Technologies (CSIT), Vol. 2, Zbarazh, Ukraine (2020), pp. 62–65. https://doi.org/10.1109/CSIT49958.2020.9322047.

3. A. Bomba, S. Baranovsky, O. Blavatska, and L. Bachyshyna, “Infectious disease model generalization based on diffuse perturbations under conditions of body’s temperature reaction,” Comput. Biol. Med., Vol. 146, 105561 (2022). https://doi.org/10.1016/j.compbiomed.2022.105561.

4. A. Bomba, S. Baranovsky, M. Pasychnyk, and K. Malash, “Modeling of infectious disease dynamics under the conditions of spatial perturbations and taking into account impulse effects,” in: Proc. 3rd Intern. Conf. on Informatics & Data-Driven Medicine (Vöxjö, Sweden, 19–21 Nov, 2020), CEUR Workshop Proceedings, Vol. 2753 (2020), pp. 119–128. URL: http://ceur-ws.org/Vol-2753/paper10.pdf.

5. S. V. Baranovsky, A. Ya. Bomba, and S. I. Lyashko, “Generalization of the antiviral immune response model for complex consideration of diffusion perturbations, body temperature response, and logistic antigen population dynamics,” Cybern. Syst. Analysis, Vol. 58, No. 4, 576–592 (2022). https://doi.org/10.1007/s10559-022-00491-w.

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