BIFURCATION ANALYSIS OF A VACCINATION MATHEMATICAL MODEL WITH APPLICATION TO COVID-19 PANDEMIC
Communications in Mathematical Biology and Neuroscience
; 2022, 2022.
Article
in English
| Scopus | ID: covidwho-2056934
ABSTRACT
In this research, we propose a delayed vaccination model with the application for predicting the evolution of infectious cases related to COVID-19 disease. The main purpose of this paper is to show the existence of Hopf bifurcation that can explain the multiple waves that the world witnessed this recent times. Therefore, it can be used the length between the doses for the vaccine that considered for different vaccines and its effect on the evolution of the infectious cases. It has been shown that the investigated model can undergo Hopf bifurcation in presence of delay time lags to the vaccine against a COVID-19, and can lead to the persistence of the disease. The obtained mathematical findings are checked using graphical representations with proper interpretations on the manner of controlling the outbreak of COVID-19 disease. © 2022 the author(s).
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Topics:
Vaccines
Language:
English
Journal:
Communications in Mathematical Biology and Neuroscience
Year:
2022
Document Type:
Article
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