A Discrete Mathematical Model of the Variable State of the Pandemic
Keywords:pandemic, mathematical modeling Covid-19, open systems, equation of the discrete variable state, superposition of epidemic waves, prediction
The paper describes and analyzes a discrete mathematical model of the variable state of the pandemic, which is important for determining production quantities of vaccines and antiviral drugs, predicting the number of infected persons, and the intensity of the process of disseminating information or new ideas to the public. According to the system of differential equations of the pandemic, a discrete mathematical model in vector-matrix form was developed and the equilibrium of the model in the space state was proved. As a result of the implementation of the pandemic model, the discrete dynamic curves of the variable state were obtained in a Matlab package.
Martelloni G., Martelloni G. Analysis of the evolution of the Sars-Cov-2 in Italy, the role of the asymptomatics and the success of Logistic model // Chaos, Solitons and Fractals 140 (2020) 110150
Wang P., Zheng X., Li J., Zhu B. Prediction of epidemic trends in COVID19 with logistic model and machine learning technics // Chaos, Solitons and Fractals. 2020. 139, 110058.
Basheleishvili, I., & Bradvelidze, K. (2021). A Computer Model of the Spread of the Pandemic and its Analysis. International Journal of Computer and Information Technology (2279-0764), 10(5).
K. Kamkamidze, G. Vachiberidze, E. Gvaramia. Modeling frameworks. Part 1. The training manual for the university students. Technical University publishing house, Tbilisi, 2009 – 440
E. Kondrashov, S.B. Korolyov. Matlab as a programming system for scientific and engineering computation. M.: MIR publishers
Bardavelidze, A., Bardavelidze, K., & Basheleishvili, I. (2018). Predication Digital Control System for a Drying Apparatus. Computer Science & Telecommunications, 54(2).
BARDAVELIDZE, A., BASHELEISHVILI, I., & BARDAVELIDZE, K. (2017). Research Investigation on Automatic Control System of Drying Apparatus Based on Fuzzy Logic. Journal of Technical Science and Technologies, 6(1)
Basheleishvili, I., & Bardavelidze, A. (2021). Design and Development of a Group Decision Support System for the Evaluation and Selection of Research Projects. Engineering, Technology & Applied Science Research, 11(6), 7881-7886
Basheleishvili, I., & Bardavelidze, A. (2018). Development of Human Resource Assessment and Selection Model for Computer System Design. International Journal of Computer (IJC), 30(1), 50-58
Bardavelidze, A., Bardavelidze, K., & Basheleishvili, I. (2018). Identification Analysis of Control System Using Programming Language Python. International Journal of Engineering and Applied Sciences, 10(4), 305-309
Basheleishvili, I., & Bardavelidze, A. (2019). Designing the Decision-Making Support System for the Assessment and Selection of the University’s Academic Staff. International Journal on Information Technologies & Security, 11(2), 51-59.
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Copyright (c) 2022 Avtandil bardavelidze, János Sztrik, Khatuna Bradvelidze, Irakli Basheleishvili
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
The articles published in International Journal of Computer and Information Technology (IJCIT) is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.