Autors: S.-M. Gurova., Lazarova, M. D.
Title: A chemical reaction network of a predator-prey model with the SEIR and the SEIRS epidemic in the prey population
Keywords: a predator-prey model, epidemic model of SEIR and SEIRS

Abstract: A predator-prey model with an epidemic model of SEIR (Susceptible-Exposed-Infected-Recovered) and SIERS (Susceptible-Exposed-Infected-Recovered-Susceptible) in the prey population is introduced. The epidemic disease had been described by the SEIR and the SEIRS models. A logistical growth function appears in the susceptible prey population.The predation function is given in the five nonlinear ordinary differential equations. They present the dynamics’ of the species’population. The main focus of this article is to propose an eco-epidemiological model that can be implemented by a chemical reaction network. The studied chemical reaction network is a mathematical-chemical apparatus through which a parallel between the change of reactant concentrations and the dynamics of the populations can be made.The authors present a chemical reaction network which describes the considered model indicating the obtained differential equations.The main law that is used is the law of mass action kinetics.

References

    Issue

    AIP Confrence Proceedings, vol. 2593, pp. 050002-1#050002-16, 2023, United States, AIP Publishing, NY, https://doi.org/10.1063/5.0177556

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    Цитирания (Citation/s):
    1. Krundyshev V., Kalinin M., Protection Efficiency Evaluation for Blockchain-Based Subsytems of a Smart City, 2025, Proceedings 2025 International Russian Smart Industry Conference Smartindustrycon 2025, issue 0, pp. 439-444, DOI 10.1109/SmartIndustryCon65166.2025.10986191 - 2025 - в издания, индексирани в Scopus

    Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus