Stability analysis of a delayed SIR epidemic model with stage structure and nonlinear incidence.
Tian, Xiaohong, Xu, Rui (2009)
Discrete Dynamics in Nature and Society
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Tian, Xiaohong, Xu, Rui (2009)
Discrete Dynamics in Nature and Society
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Zhang, Jin-Zhu, Jin, Zhen, Liu, Quan-Xing, Zhang, Zhi-Yu (2008)
Discrete Dynamics in Nature and Society
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Mushayabasa, S., Bhunu, C.P. (2011)
Computational & Mathematical Methods in Medicine
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Wang, Wenjuan, Xin, Jingqi, Zhang, Fengqin (2010)
Discrete Dynamics in Nature and Society
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Cai, Liming, Li, Xuezhi (2010)
Discrete Dynamics in Nature and Society
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Tumwiine, J., Mugisha, J.Y.T., Luboobi, L.S. (2007)
Computational & Mathematical Methods in Medicine
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Huo, Hai-Feng, Dang, Shuai-Jun, Li, Yu-Ning (2010)
Abstract and Applied Analysis
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Kovács, Sándor (2010)
Acta Universitatis Sapientiae. Mathematica
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Chen, Xiaoying, Chen, Fengde, Su, Qianqian, Zhang, Na (2010)
Discrete Dynamics in Nature and Society
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Yang, Junyuan, Wang, Xiaoyan, Zhang, Fengqin (2008)
Discrete Dynamics in Nature and Society
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Moneim, I.A., Mosa, G.A. (2006)
Computational & Mathematical Methods in Medicine
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Shu Liao, Weiming Yang (2013)
International Journal of Applied Mathematics and Computer Science
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In this paper, we present a vaccination model with multiple transmission ways and derive the control reproduction number. The stability analysis of both the disease-free and endemic equilibria is carried out, and bifurcation theory is applied to explore a variety of dynamics of this model. In addition, we present numerical simulations to verify the model predictions. Mathematical results suggest that vaccination is helpful for disease control by decreasing the control reproduction number...
H. R. Thieme, A. Tridane, Y. Kuang (2008)
Mathematical Modelling of Natural Phenomena
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A possible control strategy against the spread of an infectious disease is the treatment with antimicrobials that are given prophylactically to those that had contact with an infective person. The treatment continues until recovery or until it becomes obvious that there was no infection in the first place. The model considers susceptible, treated uninfected exposed, treated infected, (untreated) infectious, and recovered individuals. The overly optimistic assumptions are made that treated...
I. Barradas (1997)
Applicationes Mathematicae
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A nonlinear mathematical model with distributed delay is proposed to describe the reaction of a human organism to a pathogen agent. The stability of the disease free state is analyzed, showing that there exists a large set of initial conditions in the attraction basin of the disease-free state whose border is defined as the immunological barrier.