A fractionalcontrolmodeltostudyMonkeypox transportnetwork-relatedtransmission

dc.contributor.authorZhang, Nan
dc.contributor.authorEmmanuel, Addai
dc.contributor.authorMezue, MaryNwaife
dc.contributor.authorRashid, Saima
dc.contributor.authorAkinnubi, Abiola
dc.contributor.authorAbdul-Hamid, Zalia
dc.contributor.authorAsamoah, Joshua Kiddy K.
dc.contributor.orcid0000-0002-7066-246X
dc.date.accessioned2024-11-21T08:51:46Z
dc.date.available2024-11-21T08:51:46Z
dc.date.issued2024-08
dc.descriptionThis article is published by World Scientific 2024 and is also available at 10.1142/S179352452450044X
dc.description.abstractEffective disease control measures to manage the spread of Monkeypox (Mpox) virus are crucial, especially given the serious public health risks posed by the ongoing global epidemic in regions where the virus is both prevalent and not. This study introduces a precise model, based on the Caputo fractional derivative, which takes into account both human and non-human populations as well as public transportation, to delve into the transmission characteristics of Mpox outbreaks. By employing the fixed-point theorem, we have precisely determined the solutions regarding existence and uniqueness. We have analyzed the stability of various equilibrium states within the model to assess Mpox’s transmission capabilities. Additionally, through detailed numerical simulations, we have gauged the impact of critical model parameters that contribute to enhancing Mpox prevention and management strategies. The insights gained from our research significantly enrich epidemiological understanding and lay the foundation for improved disease containment approaches.
dc.description.sponsorshipKNUST
dc.identifier.citationInternationalJournalofBiomathematics (2024) 2450044(29pages)
dc.identifier.uri10.1142/S179352452450044X
dc.identifier.urihttps://ir.knust.edu.gh/handle/123456789/15993
dc.language.isoen
dc.publisherWorld Scientific
dc.titleA fractionalcontrolmodeltostudyMonkeypox transportnetwork-relatedtransmission
dc.typeArticle
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