Novel insights for a nonlinear deterministic-stochastic class of fractional-order Lassa fever model with varying kernels

Basit Öğe Kaydı
dc.contributor.authorRashid, Saima
dc.contributor.authorKarim, Shazia
dc.contributor.authorAkguel, Ali
dc.contributor.authorBariq, Abdul
dc.contributor.authorElagan, S. K.
dc.date.accessioned2024-12-24T19:27:57Z
dc.date.available2024-12-24T19:27:57Z
dc.date.issued2023
dc.departmentSiirt Üniversitesi
dc.description.abstractLassa fever is a hemorrhagic virus infection that is usually spread by rodents. It is a fatal infection that is prevalent in certain West African countries. We created an analytical deterministic-stochastic framework for the epidemics of Lassa fever employing a collection of ordinary differential equations with nonlinear solutions to identify the influence of propagation processes on infected development in individuals and rodents, which include channels that are commonly overlooked, such as ecological emergent and aerosol pathways. The findings shed light on the role of both immediate and subsequent infectiousness via the power law, exponential decay and generalized Mittag-Leffler kernels. The scenario involves the presence of a steady state and an endemic equilibrium regardless of the fundamental reproduction number, R-0 < 1 , making Lassa fever influence challenging and dependent on the severity of the initial sub-populations. Meanwhile, we demonstrate that the stochastic structure has an exclusive global positive solution via a positive starting point. The stochastic Lyapunov candidate approach is subsequently employed to determine sufficient requirements for the existence and uniqueness of an ergodic stationary distribution of non-negative stochastic simulation approaches. We acquire the particular configuration of the random perturbation associated with the model's equilibrium R-0(s) < 1 according to identical environments as the presence of a stationary distribution. Ultimately, modeling techniques are used to verify the mathematical conclusions. Our fractional and stochastic findings exhibit that when all modes of transmission are included, the impact of Lassa fever disease increases. The majority of single dissemination pathways are less detrimental with fractional findings; however, when combined with additional spread pathways, they boost the Lassa fever stress.
dc.description.sponsorshipDeanship of Scientific Research, Taif University
dc.description.sponsorshipThe researchers would like to acknowledge Deanship of Scientific Research, Taif University for funding this work.
dc.identifier.doi10.1038/s41598-023-42106-0
dc.identifier.issn2045-2322
dc.identifier.issue1
dc.identifier.pmid37714907
dc.identifier.scopus2-s2.0-85171345422
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1038/s41598-023-42106-0
dc.identifier.urihttps://hdl.handle.net/20.500.12604/6835
dc.identifier.volume13
dc.identifier.wosWOS:001068962200018
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherNature Portfolio
dc.relation.ispartofScientific Reports
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241222
dc.titleNovel insights for a nonlinear deterministic-stochastic class of fractional-order Lassa fever model with varying kernels
dc.typeArticle

Dosyalar

Koleksiyon

WOS İndeksli Yayınlar Koleksiyonu
PubMed İndeksli Yayın Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu