Abstract
The paper investigates some stochastic models with discrete and continuous time to solve important problems of predicting the spread of epidemiological diseases in the population. Various factors of epidemic spread and the main parameters influencing the forecast assessment are taken into account. Some test calculations based on the proposed methods have been performed.
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The study was partially supported by the National Research Foundation of Ukraine. Grant # 2020.02/0121.
Translated from Kibernetyka ta Systemnyi Analiz, No. 1, January–February, 2022, pp. 70–76.
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Bogdanov, O.V., Knopov, P.S. Stochastic Models in the Problems of Predicting the Epidemiological Situation. Cybern Syst Anal 58, 58–64 (2022). https://doi.org/10.1007/s10559-022-00435-4
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DOI: https://doi.org/10.1007/s10559-022-00435-4