Computational modelling and optimal control of Ebola virus disease with non-linear incidence rate

Simple item page
dc.contributor.authorTakaidza, I.en_ZA
dc.contributor.authorMakinde, O. D.en_ZA
dc.contributor.authorOkosun, O. K.en_ZA
dc.date.accessioned2019-02-15T14:12:09Z
dc.date.available2019-02-15T14:12:09Z
dc.date.issued2017
dc.descriptionCITATION: Takaidza, I., Makinde, O. D. & Okosun, O. K. 2017. Computational modelling and optimal control of Ebola virus disease with non-linear incidence rate. Journal of Physics: Conference Series, 818(1):012003, doi:10.1088/1742-6596/818/1/012003.
dc.descriptionThe original publication is available at http://iopscience.iop.org
dc.description.abstractThe 2014 Ebola outbreak in West Africa has exposed the need to connect modellers and those with relevant data as pivotal to better understanding of how the disease spreads and quantifying the effects of possible interventions. In this paper, we model and analyse the Ebola virus disease with non-linear incidence rate. The epidemic model created is used to describe how the Ebola virus could potentially evolve in a population. We perform an uncertainty analysis of the basic reproductive number R 0 to quantify its sensitivity to other disease-related parameters. We also analyse the sensitivity of the final epidemic size to the time control interventions (education, vaccination, quarantine and safe handling) and provide the cost effective combination of the interventions.en_ZA
dc.description.urihttps://iopscience.iop.org/article/10.1088/1742-6596/818/1/012003
dc.description.versionPublisher's version
dc.format.extent13 pages
dc.identifier.citationTakaidza, I., Makinde, O. D. & Okosun, O. K. 2017. Computational modelling and optimal control of Ebola virus disease with non-linear incidence rate. Journal of Physics: Conference Series, 818(1):012003, doi:10.1088/1742-6596/818/1/012003
dc.identifier.issn1742-6596 (online)
dc.identifier.issn1742-6588 (print)
dc.identifier.otherdoi:10.1088/1742-6596/818/1/012003
dc.identifier.urihttp://hdl.handle.net/10019.1/105423
dc.language.isoen_ZAen_ZA
dc.publisherIOP Publishing
dc.rights.holderAuthors retain copyright
dc.subjectEbola virus diseaseen_ZA
dc.titleComputational modelling and optimal control of Ebola virus disease with non-linear incidence rateen_ZA
dc.typeConference Paperen_ZA
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
takaidza_computational_2017.pdf
Size:
1.25 MB
Format:
Adobe Portable Document Format
Description:
Download article
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Research Articles (Applied Mathematics)