Nepomuceno, Erivelton, Takahashi, Ricardo H.C. and Aguirre, Luis A. (2018) Reducing vaccination level to eradicate a disease by means of a mixed control with isolation. Biomedical Signal Processing and Control, 40. pp. 83-90. ISSN 1746-8094
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Abstract
The present study has investigated mixed control strategy to reduce the required level of vaccination
to eradicate a disease. It is well known that despite the advances on the development of new vaccines
and control strategies to eradicate diseases, many diseases such as measles, tuberculosis and flu are still
persistent. Any effort made to bring some light in this issue should be considered and developed. Here,
we present a dynamic analysis of the SIR model to develop a simple but efficient strategy of control based
on the simultaneously application of vaccination and isolation. We show how to significantly decrease
the required level of vaccination to eradicate a disease. We have also found that a growth in population
decreases the effects of isolation in the required time to eradicate a disease. Finally, we noticed that
the effect of isolation for both fixed size population or variable population is more significant for lower
levels of vaccination, which is particularly interesting in real life situations, where the high levels of
vaccination are not undertaken. Numerical simulations are provided to show the effectiveness of the
proposed technique.
Item Type: | Article |
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Keywords: | Biological systems; SIR Model; Vaccination; Isolation; Epidemiology; Mixed control; Disease dynamics; |
Academic Unit: | Faculty of Science and Engineering > Electronic Engineering Faculty of Science and Engineering > Research Institutes > Hamilton Institute |
Item ID: | 16744 |
Identification Number: | 10.1016/j.bspc.2017.09.004 |
Depositing User: | Erivelton Nepomuceno |
Date Deposited: | 22 Nov 2022 16:42 |
Journal or Publication Title: | Biomedical Signal Processing and Control |
Publisher: | Elsevier |
Refereed: | Yes |
Related URLs: | |
URI: | https://mural.maynoothuniversity.ie/id/eprint/16744 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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