Investigation of the stochastic modeling of covid-19 with environmental noise from the analytical and numerical point of view

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dc.contributor.authorShah Hussain
dc.contributor.authorElissa Nadia Madi
dc.contributor.authorHasib Khan
dc.contributor.authorSina Etemad
dc.contributor.authorShahram Rezapour
dc.contributor.authorThanin Sitthiwirattham
dc.contributor.authorNichaphat Patanarapeelert
dc.contributor.correspondenceS. Rezapour; Department of Mathematics, Azarbaijan Shahid Madani University, Tabriz, 53751-71379, Iran; email: sh.rezapour@azaruniv.ac.ir; T. Sitthiwirattham; Mathematics Department, Faculty of Science and Technology, Suan Dusit University, Bangkok, 10300, Thailand; email: thanin_sit@dusit.ac.th; N. Patanarapeelert; Department of Mathematics, Faculty of Applied Science, King MongkutÕs University of Technology North Bangkok, Bangkok, 10800, Thailand; email: nichaphat.p@sci.kmutnb.ac.th
dc.date.accessioned2025-03-10T07:35:29Z
dc.date.available2025-03-10T07:35:29Z
dc.date.issued2021
dc.description.abstractIn this article, we propose a novel mathematical model for the spread of COVID-19 involving environmental white noise. The new stochastic model was studied for the existence and persistence of the disease, as well as the extinction of the disease. We noticed that the existence and extinction of the disease are dependent on R0 (the reproduction number). Then, a numerical scheme was developed for the computational analysis of the model; with the existing values of the parameters in the literature, we obtained the related simulations, which gave us more realistic numerical data for the future prediction. The mentioned stochastic model was analyzed for different values of s1, s2 and b1, b2, and both the stochastic and the deterministic models were compared for the future prediction of the spread of COVID-19. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
dc.identifier.citationMathematics
dc.identifier.doi10.3390/math9233122
dc.identifier.issn22277390
dc.identifier.scopus2-s2.0-85120981956
dc.identifier.urihttps://repository.dusit.ac.th//handle/123456789/4714
dc.languageEnglish
dc.publisherMDPI
dc.rightsAll Open Access; Gold Open Access
dc.rights.holderScopus
dc.subjectCOVID-19
dc.subjectExistence
dc.subjectNumerical scheme
dc.subjectPersistence
dc.subjectStochastic model
dc.titleInvestigation of the stochastic modeling of covid-19 with environmental noise from the analytical and numerical point of view
dc.typeArticle
mods.location.urlhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85120981956&doi=10.3390%2fmath9233122&partnerID=40&md5=e40d6e5cc4a037d6b789c5876c6b4fb6
oaire.citation.issue23
oaire.citation.volume9
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