Journal of Modern Mathematics and Statistics
ISSN: OnlineISSN: Print 1994-5388
Abstract
In this thesis we consider an epidemic model with a constant removal rate of infective individuals is proposed to understand the effect of limited resources for treatment of infective on the disease spread. It is found that it is unnecessary to take such a large treatment capacity that endemic equilibria disappear to eradicate the disease. It is shown that the outcome of disease spread may depend on the position of the initial states for certain range of parameters. It is also shown that the model undergoes a sequence of bifurcations including saddle-node bifurcation, subcritical Hopf bifurcation.
How to cite this article:
Tadesse Lamessa. Biufrcation Analysis on Infection Disease Treatment by Compartment Models.
DOI: https://doi.org/10.36478/jmmstat.2019.28.39
URL: https://www.makhillpublications.co/view-article/1994-5388/jmmstat.2019.28.39