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Stochastic dynamics of influenza infection: Qualitative analysis and numerical results

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dc.contributor.author Alzabut, Jehad
dc.date.accessioned 2023-02-01T09:07:53Z
dc.date.available 2023-02-01T09:07:53Z
dc.date.issued 2022
dc.identifier.uri http://earsiv.ostimteknik.edu.tr:8080/xmlui/handle/123456789/297
dc.description.abstract In this paper, a novel influenza SINIRR model with white noise is investigated. According to the research, white noise has a significant impact on the disease. First, we explain that there is global existence and positivity to the solution. Then we show that the stochastic basic reproduction R. r is a threshold that determines whether the disease is cured or persists. When the noise intensity is high, we getR. r < 1 and the disease goes away; when the white noise intensity is low, we getR. r > 1, and a su_cient condition for the existence of a stationary distribution is obtained, which suggests that the disease is still there. However, the main objective of the study is to produce a stochastic analogue of the deterministic model that we analyze using numerical simulations to get views on the infection dynamics in a stochastic environment that we can relate to the deterministic context en_US
dc.language.iso en en_US
dc.title Stochastic dynamics of influenza infection: Qualitative analysis and numerical results en_US
dc.type Article en_US


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