Mathematical model for the control of infectious disease

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DC Field	Value	Language
dc.contributor.author	Peter, O. J.	-
dc.contributor.author	Akinduko, O. B.	-
dc.contributor.author	Oguntolu, F. A.	-
dc.contributor.author	Ishola, C. Y.	-
dc.date.accessioned	2021-11-02T13:24:53Z	-
dc.date.available	2021-11-02T13:24:53Z	-
dc.date.issued	2018-05	-
dc.identifier.citation	Peter, O. J., Akinduko, O. B., Oguntolu, F. A., & Ishola, C. Y. (2018). Mathematical model for the control of infectious disease. Journal of Applied Sciences and Environmental Management, 22(4), 447-451.	en_US
dc.identifier.issn	2659-1502	-
dc.identifier.uri	https://www.ajol.info/index.php/jasem/article/view/170456	-
dc.identifier.uri	http://repository.futminna.edu.ng:8080/jspui/handle/123456789/13952	-
dc.description.abstract	We proposed a mathematical model of infectious disease dynamics. The model is a system of first order ordinary differential equations. The population is partitioned into three compartments of Susceptible S(t) , Infected I(t) and Recovered R(t). Two equilibria states exist: the disease-free equilibrium which is locally asymptotically stable if Ro < 1 and unstable if Ro > 1. Numerical simulation of the model shows that an increase in vaccination leads to low disease prevalence in a population.	en_US
dc.language.iso	en	en_US
dc.publisher	African Journals Online	en_US
dc.subject	Infectious Disease	en_US
dc.subject	Equilibrium States	en_US
dc.subject	Basic Reproduction Number	en_US
dc.title	Mathematical model for the control of infectious disease	en_US
dc.type	Article	en_US
Appears in Collections:	Mathematics

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