Please use this identifier to cite or link to this item: http://ir.futminna.edu.ng:8080/jspui/handle/123456789/15310
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dc.contributor.authorPeter, O. J.-
dc.contributor.authorKumar, S.-
dc.contributor.authorKumari, N.-
dc.contributor.authorOguntolu, F. A.-
dc.contributor.authorOshinubi, K.-
dc.contributor.authorMusa, R.-
dc.date.accessioned2022-12-13T20:42:31Z-
dc.date.available2022-12-13T20:42:31Z-
dc.date.issued2021-10-15-
dc.identifier.citationO. J. Peter, S. Kumar, N. Kumari, F. A. Oguntolu, K. Oshinubi, & R. Musa. (2021). Transmission dynamics of Monkeypox virus: a mathematical modelling approach. Modeling Earth Systems and Environment, 8(3), 3423-3434.en_US
dc.identifier.urihttps://doi.org/10.1007/s40808-021-01313-2-
dc.identifier.urihttp://repository.futminna.edu.ng:8080/jspui/handle/123456789/15310-
dc.description.abstractMonkeypox (MPX), similar to both smallpox and cowpox, is caused by the monkeypox virus (MPXV). It occurs mostly in remote Central and West African communities, close to tropical rain forests. It is caused by the monkeypox virus in the Poxviridae family, which belongs to the genus Orthopoxvirus. We develop and analyse a deterministic mathematical model for the monkeypox virus. Both local and global asymptotic stability conditions for disease-free and endemic equilibria are determined. It is shown that the model undergo backward bifurcation, where the locally stable disease-free equilibrium co-exists with an endemic equilibrium. Furthermore, we determine conditions under which the disease-free equilibrium of the model is globally asymptotically stable. Finally, numerical simulations to demonstrate our findings and brief discussions are provided. The findings indicate that isolation of infected individuals in the human population helps to reduce disease transmission.en_US
dc.language.isoenen_US
dc.publisherSpringer Natureen_US
dc.subjectMonkeypox virusen_US
dc.subjectMathematical modelen_US
dc.subjectStabilityen_US
dc.subjectBackward bifurcationen_US
dc.titleTransmission dynamics of Monkeypox virus: a mathematical modelling approachen_US
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