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The effect of stochasticity with respect to reinfection and nonlinear transition states for some diseases with relapse
Ibn Tofail Univ, Morocco.
Ibn Tofail Univ, Morocco.
FST, Morocco.
Linnaeus University, Faculty of Technology, Department of Mathematics. (DISA-DSM)ORCID iD: 0000-0002-7790-0539
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2020 (English)In: Mathematical methods in the applied sciences, ISSN 0170-4214, E-ISSN 1099-1476, Vol. 43, no 18, p. 10659-10670Article in journal (Refereed) Published
Abstract [en]

In this paper, we consider a stochastic epidemic model with relapse, reinfection, and a general incidence function. Using stochastic tools, we establish a stochastic thresholdRs0and prove the extinction of the disease when its value is equal or less than unity. We also show the persistence in mean of the disease whenRs0>1.Moreover, we prove the existence and uniqueness of a stationary distribution. Finally, numerical simulations are presented to show the effectiveness of theoretical results.

Place, publisher, year, edition, pages
John Wiley & Sons, 2020. Vol. 43, no 18, p. 10659-10670
Keywords [en]
epidemic model, persistence in mean, relapse, stationary distribution
National Category
Computational Mathematics
Research subject
Mathematics, Applied Mathematics
Identifiers
URN: urn:nbn:se:lnu:diva-98543DOI: 10.1002/mma.6903ISI: 000573430000001Scopus ID: 2-s2.0-85091613772OAI: oai:DiVA.org:lnu-98543DiVA, id: diva2:1477117
Available from: 2020-10-16 Created: 2020-10-16 Last updated: 2022-02-23Bibliographically approved

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Pettersson, Roger

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