Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/28994
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dc.contributor.authorAkinwande, Ninuola-
dc.contributor.authorSomma, Samuel-
dc.contributor.authorAshezua, Timothy-
dc.contributor.authorGweryina, Reuben-
dc.contributor.authorAbdurrahman, Nurat Olamide-
dc.date.accessioned2024-07-11T15:03:24Z-
dc.date.available2024-07-11T15:03:24Z-
dc.date.issued2024-02-
dc.identifier.isbn978-978-789-930-4-
dc.identifier.urihttp://repository.futminna.edu.ng:8080/jspui/handle/123456789/28994-
dc.description.abstractOne of the key ideas in mathematical biology is the basic reproduction number, which can be utilized to comprehend how a disease epidemic profile might evolve in the future. The basic reproduction number, represented by 0 R , is the anticipated number of secondary cases that a typical infectious individual would cause in a population that is fully susceptible. This threshold parameter is highly valuable in characterizing mathematical problems related to infectious diseases. If Ro < 1 this suggests that, on average, during the infectious period, an infected individual produces less than one new infected individual, suggesting that the infection may eventually be eradicated from the population. On the other hand, if Ro > 1 every infected person develops an average of multiple new infections, it suggests that the disease may continue to spread throughout the population. We discuss the Reproduction number in this work and provide some examples, both for straightforward and complicated situations.en_US
dc.language.isoenen_US
dc.publisherICMMOADD 2024en_US
dc.subjectAppraisalen_US
dc.subjectStability Analysisen_US
dc.subjectRepoduction Numberen_US
dc.subjectEquilibrium Stateen_US
dc.titleAn Appraisal on the Application of Reproduction Number for the Stability Analysis of Disease - Free Equilibrium State for S-I-R Type Modelsen_US
dc.typeArticleen_US
Appears in Collections:Mathematics

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