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A stochastic analysis for a triple delayed SIQR epidemic model with vaccination and elimination strategies
Université Ibn Tofail, Morocco.
Linnaeus University, Faculty of Technology, Department of Mathematics. (DISA-DSM)ORCID iD: 0000-0002-7790-0539
Université Ibn Tofail, Morocco.
Chouaib Doukkali University EST Sidi Bennour, Morocco.
2020 (English)In: Journal of Applied Mathematics and Computing, ISSN 1598-5865, E-ISSN 1865-2085, Vol. 64, p. 781-805Article in journal (Refereed) Published
Abstract [en]

In this paper, a delayed SIQR epidemic model with vaccination and elimination hybrid strategies is analysed under a white noise perturbation. We prove the existence and the uniqueness of a positive solution. Afterwards, we establish a stochastic threshold R-s in order to study the extinction and persistence in mean of the stochastic epidemic system. Then we investigate the existence of a stationary distribution for the delayed stochastic model. Finally, some numerical simulations are presented to support our theoretical results.

Place, publisher, year, edition, pages
Springer, 2020. Vol. 64, p. 781-805
Keywords [en]
Extinction, Persistence in mean, Delay, White noise, Epidemic model, Stationary distribution
National Category
Computational Mathematics
Research subject
Mathematics, Applied Mathematics
Identifiers
URN: urn:nbn:se:lnu:diva-97216DOI: 10.1007/s12190-020-01380-1ISI: 000543618400001Scopus ID: 2-s2.0-85087563773OAI: oai:DiVA.org:lnu-97216DiVA, id: diva2:1454518
Available from: 2020-07-17 Created: 2020-07-17 Last updated: 2022-02-24Bibliographically approved

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Pettersson, Roger

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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
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  • text
  • asciidoc
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