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Epidemic modeling: Diffusion approximation vs. stochastic differential equations allowing reflection
Ibn Tofail Univ, Morocco.
Cadi Ayyad Univ, Morocco.
Linnaeus University, Faculty of Technology, Department of Mathematics.ORCID iD: 0000-0002-7790-0539
Nevsehir Haci Bektas Veli Univ, Turkey.
2021 (English)In: International Journal of Biomathematics, ISSN 1793-5245, E-ISSN 1793-7159, Vol. 14, no 5, article id 2150036Article in journal (Refereed) Published
Abstract [en]

A birth-death process is considered as an epidemic model with recovery and transmittance from outside. The fraction of infected individuals is for huge population sizes approximated by a solution of an ordinary differential equation taking values in [0, 1]. For intermediate size or semilarge populations, the fraction of infected individuals is approximated by a diffusion formulated as a stochastic differential equation. That diffusion approximation however needs to be killed at the boundary {0}boolean OR{1}. An alternative stochastic differential equation model is investigated which instead allows a more natural reflection at the boundary.

Place, publisher, year, edition, pages
World Scientific, 2021. Vol. 14, no 5, article id 2150036
Keywords [en]
Epidemic models, stochastic differential equations, scale measure, speed measure, diffusion approximations, reflecting boundaries, killed processes
National Category
Mathematics
Research subject
Mathematics, Applied Mathematics
Identifiers
URN: urn:nbn:se:lnu:diva-106709DOI: 10.1142/S1793524521500364ISI: 000678611900005Scopus ID: 2-s2.0-85102242006Local ID: 2021OAI: oai:DiVA.org:lnu-106709DiVA, id: diva2:1590377
Available from: 2021-09-02 Created: 2021-09-02 Last updated: 2021-09-03Bibliographically approved

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Pettersson, Roger

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