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DC Field | Value | Language |
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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 |
Appears in Collections: | Microbiology |
Files in This Item:
File | Description | Size | Format | |
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Modeling the Dynamics of COVID-19 in Nigeria.pdf | 2.19 MB | Adobe PDF | View/Open |
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