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Modeling the Dynamics of COVID-19 in Nigeria

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dc.contributor.author Adewole, M. O
dc.contributor.author Onifade, A. A
dc.contributor.author Abdullah, F. A
dc.contributor.author Kasali, F. A
dc.contributor.author Ismail, A. I. M
dc.date.accessioned 2022-06-15T12:34:06Z
dc.date.available 2022-06-15T12:34:06Z
dc.date.issued 2021-04-19
dc.identifier.citation Adewole, M.O., Onifade, A.A., Abdullah, F.A. et al. Modeling the Dynamics of COVID-19 in Nigeria. Int. J. Appl. Comput. Math 7, 67 (2021). https://doi.org/10.1007/s40819-021-01014-5 en_US
dc.identifier.uri http://localhost:8080/xmlui/handle/123456789/61
dc.description.abstract To understand the dynamics of COVID-19 in Nigeria, a mathematical model which incorporates the key compartments and parameters regarding COVID-19 in Nigeria is formulated. The basic reproduction number is obtained which is then used to analyze the stability of the disease-free equilibrium solution of the model. The model is calibrated using data obtained from Nigeria Centre for Disease Control and key parameters of the model are estimated. Sensitivity analysis is carried out to investigate the influence of the parameters in curtailing the disease. Using Pontryagin’s maximum principle, time-dependent intervention strategies are optimized in order to suppress the transmission of the virus. Numerical simulations are then used to explore various optimal control solutions involving single and multiple controls. Our results suggest that strict intervention effort is required for quick suppression of the disease. en_US
dc.description.sponsorship Matthew O. Adewole, Akindele A. Onifade, Farah A. Abdullah, Funmilayo Kasali & Ahmad I. M. Ismail en_US
dc.language.iso en en_US
dc.publisher Springer en_US
dc.relation.ispartofseries 7;67
dc.subject COVID-19 en_US
dc.subject Contact tracing en_US
dc.subject Prevention guidelines en_US
dc.subject Mass testing en_US
dc.subject Pontryagin’s maximum principle en_US
dc.title Modeling the Dynamics of COVID-19 in Nigeria en_US
dc.type Article en_US


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