Abstract
The paper considers discrete and continuous models of the epidemic propagation with a limited time spent in compartments. It contains a comparative analysis carried out for the influence of process parameters on both models. The problem of system identification is solved. Namely, we first estimated the accuracy of the solution of the inverse problem on the model data. Then the system is identified based on real data on the spread of COVID-19 in Kazakhstan, after which a forecast is made for the propagation of the epidemiological situation.
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Acknowledgements
This research was supported by the Grant No. AP09260317 “Development of an intelligent system for assessing the development of COVID-19 epidemics and other infections in Kazakhstan” of al-Farabi Kazakh National University.
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Turar, O., Serovajsky, S., Azimov, A., Mustafin, M. (2023). Discrete and Continuous Models of the COVID-19 Pandemic Propagation with a Limited Time Spent in Compartments. In: Kähler, U., Reissig, M., Sabadini, I., Vindas, J. (eds) Analysis, Applications, and Computations. ISAAC 2021. Trends in Mathematics(). Birkhäuser, Cham. https://doi.org/10.1007/978-3-031-36375-7_5
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DOI: https://doi.org/10.1007/978-3-031-36375-7_5
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