Artículo
Analysis of a stochastic coronavirus (COVID-19) L´evy jump model with protective measures
Autor/es | Caraballo Garrido, Tomás
El Fatini, Mohamed El Khalifi, Mohamed Rathinasamy, Anandaraman |
Departamento | Universidad de Sevilla. Departamento de Ecuaciones Diferenciales y Análisis Numérico |
Fecha de publicación | 2021-09-30 |
Fecha de depósito | 2023-02-24 |
Publicado en |
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Resumen | This paper studied a stochastic epidemic model of the spread of the novel coronavirus (COVID19). Severe factors impacting the disease transmission are presented by white noise and compensated poisson noise with possibly ... This paper studied a stochastic epidemic model of the spread of the novel coronavirus (COVID19). Severe factors impacting the disease transmission are presented by white noise and compensated poisson noise with possibly infinite characteristic measure. Large time estimates are established based on Kunita’s inequality rather than Burkholder-Davis-Gundy inequality for countinuous diffusions. The effect of stochasticity is taken into account in the formulation of sufficient conditions for the extinction of COVID-19 and its persistence. Our results prove that environmental fluctuations can be privileged in controlling the pandemic behaviour. Based on real parameter values, numerical results are presented to illustrate obtained results concerning the extinction and the persistence in mean of the disease. |
Cita | Caraballo Garrido, T., El Fatini, ., El Khalifi, M. y Rathinasamy, A. (2021). Analysis of a stochastic coronavirus (COVID-19) L´evy jump model with protective measures. Stochastic Analysis and Applications, 41 (1), 45-59. https://doi.org/10.1080/07362994.2021.1989312. |
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