American Institute of Mathematical Sciences

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September  2015, 20(7): 2217-2232. doi: 10.3934/dcdsb.2015.20.2217

Global stability of the dengue disease transmission models

Jing-Jing Xiang 1, , Juan Wang 2, and  Li-Ming Cai 2,

1. 

School of Science, Xi'an University of Architecture & Technology, Xi'an, 710055, China
2. 

Department of Mathematics, Xinyang Normal University, Xinyang 464000, China

Received  January 2015 Revised  May 2015 Published  July 2015

In this paper, we further investigate the global stability of the dengue transmission models. By using persistence theory, it is showed that the disease of system uniformly persists when the basic reproduction number is larger than unity. By constructing suitable Lyapunov function methods and LaSalle Invariance Principle, we show that the unique endemic equilibrium of the model is always globally asymptotically stable as long as it exists.
Keywords: basic reproduction number, Lyapunov function, global stability., Mass action incidence.
Mathematics Subject Classification: Primary: 34D23; Secondary: 93D05, 92D2.
Citation: Jing-Jing Xiang, Juan Wang, Li-Ming Cai. Global stability of the dengue disease transmission models. Discrete & Continuous Dynamical Systems - B, 2015, 20 (7) : 2217-2232. doi: 10.3934/dcdsb.2015.20.2217
References:
[1]

S. Bhatt, P. W. Gething, O. J. Brady, et al., The global distribution and burden of dengue,, Nature, 496 (2013), 504.  doi: 10.1038/nature12060.  Google Scholar

[2]

L. Cai, S. Guo, X. Li and M. Ghosh, Global dynamics of a dengue epidemic mathematical model,, Chaos, 42 (2009), 2297.  doi: 10.1016/j.chaos.2009.03.130.  Google Scholar

[3]

L. Cai, M. Martcheva and X. Li, epidemic models with age of infection, indirect transmission and incomplete treatment,, Discrete and Continuous Dynamical Systems Series B, 18 (2013), 2239.  doi: 10.3934/dcdsb.2013.18.2239.  Google Scholar

[4]

L. Cai, M. Martcheva and X. Li, Competitive exclusion in a vector-host epidemic model with distributed delay,, Journal of Biological Dynamics, 7 (2013), 47.  doi: 10.1080/17513758.2013.772253.  Google Scholar

[5]

L. Cai, X. Li and M. Ghosh, Global dynamics of a mathematical model for HTLV-I infection of CD4+ T-cells,, Appl. Math. Model., 35 (2011), 3587.  doi: 10.1016/j.apm.2011.01.033.  Google Scholar

[6]

CDC, Centers for disease control and prevention, Dengue Homepage,, , ().   Google Scholar

[7]

L. Esteva and C. Vargas, Coexistence of different serotypes of dengue virus,, J. Math. Biol., 46 (2003), 31.  doi: 10.1007/s00285-002-0168-4.  Google Scholar

[8]

Z. Feng and X. Jorge Velasco-Hernandez, Competitive exclusion in a vector-host model for the dengue fever,, J. Math. Biol., 35 (1997), 523.  doi: 10.1007/s002850050064.  Google Scholar

[9]

S. M. Garba, A. B. Gumel and M. R. Abu Bakar, Backward bifurcations in dengue transmission dynamics,, Math. Biosci., 215 (2008), 11.  doi: 10.1016/j.mbs.2008.05.002.  Google Scholar

[10]

S. B. Halstead, Pathogenesis of dengue: Challenges to molecular biology,, Science, 239 (1988), 476.  doi: 10.1126/science.3277268.  Google Scholar

[11]

J. Hofbauer and J. W.-H. So, Uniform persistence and repellors for maps,, Proceedings of the American Mathematical Society, 107 (1989), 1137.  doi: 10.1090/S0002-9939-1989-0984816-4.  Google Scholar

[12]

D. Kalajdzievska and M. Y. Li, Modeling the effects of carriers on transmission dynamics of infectious diseases,, Math. Biosci. Eng., 8 (2011), 711.  doi: 10.3934/mbe.2011.8.711.  Google Scholar

[13]

M. Y. Li and J. S. Muldowney, A geometric approach to global-stability problems,, SIAM J. Math. Anal., 27 (1996), 1070.  doi: 10.1137/S0036141094266449.  Google Scholar

[14]

J. Li, Y. Xiao, F. Zhang and Y. Yang, An algebraic approach to proving the global stability of a class of epidemic models,, Nonlinear Anal. RWA., 13 (2012), 2006.  doi: 10.1016/j.nonrwa.2011.12.022.  Google Scholar

[15]

Z. Ma, Y. Zhou, W. Wang and Z. Jin, Mathematical Models and Dynamics of Infectious Diseases,, China Sciences Press, (2004).   Google Scholar

[16]

C. C. McCluskey, Complete global stability for an SIR epidemic model with delay-distributed or discrete,, Nonlinear Anal: Real World Appl., 11 (2010), 55.  doi: 10.1016/j.nonrwa.2008.10.014.  Google Scholar

[17]

P. Pongsumpun and I. M. Tang, Transmission of dengue hemorrhagic fever in an age structured population,, Math. Comput. Model., 37 (2003), 949.  doi: 10.1016/S0895-7177(03)00111-0.  Google Scholar

[18]

A. J. Tatem, S. I. Hay and D. J. Rogers, Global traffic and disease vector dispersal,, Proc. Natl. Acad. Sci. USA., 103 (2006), 6242.  doi: 10.1073/pnas.0508391103.  Google Scholar

[19]

H. R. Thieme, Persistence under relaxed point-dissipativity (with application to an endemic model),, SIAM J. Math. Anal., 24 (1993), 407.  doi: 10.1137/0524026.  Google Scholar

[20]

H. M. Yang and C. P. Ferreira, Assessing the effects of vector control on dengue transmission,, Appl. Math. Computat., 198 (2008), 401.  doi: 10.1016/j.amc.2007.08.046.  Google Scholar

show all references

References:
[1]

S. Bhatt, P. W. Gething, O. J. Brady, et al., The global distribution and burden of dengue,, Nature, 496 (2013), 504.  doi: 10.1038/nature12060.  Google Scholar

[2]

L. Cai, S. Guo, X. Li and M. Ghosh, Global dynamics of a dengue epidemic mathematical model,, Chaos, 42 (2009), 2297.  doi: 10.1016/j.chaos.2009.03.130.  Google Scholar

[3]

L. Cai, M. Martcheva and X. Li, epidemic models with age of infection, indirect transmission and incomplete treatment,, Discrete and Continuous Dynamical Systems Series B, 18 (2013), 2239.  doi: 10.3934/dcdsb.2013.18.2239.  Google Scholar

[4]

L. Cai, M. Martcheva and X. Li, Competitive exclusion in a vector-host epidemic model with distributed delay,, Journal of Biological Dynamics, 7 (2013), 47.  doi: 10.1080/17513758.2013.772253.  Google Scholar

[5]

L. Cai, X. Li and M. Ghosh, Global dynamics of a mathematical model for HTLV-I infection of CD4+ T-cells,, Appl. Math. Model., 35 (2011), 3587.  doi: 10.1016/j.apm.2011.01.033.  Google Scholar

[6]

CDC, Centers for disease control and prevention, Dengue Homepage,, , ().   Google Scholar

[7]

L. Esteva and C. Vargas, Coexistence of different serotypes of dengue virus,, J. Math. Biol., 46 (2003), 31.  doi: 10.1007/s00285-002-0168-4.  Google Scholar

[8]

Z. Feng and X. Jorge Velasco-Hernandez, Competitive exclusion in a vector-host model for the dengue fever,, J. Math. Biol., 35 (1997), 523.  doi: 10.1007/s002850050064.  Google Scholar

[9]

S. M. Garba, A. B. Gumel and M. R. Abu Bakar, Backward bifurcations in dengue transmission dynamics,, Math. Biosci., 215 (2008), 11.  doi: 10.1016/j.mbs.2008.05.002.  Google Scholar

[10]

S. B. Halstead, Pathogenesis of dengue: Challenges to molecular biology,, Science, 239 (1988), 476.  doi: 10.1126/science.3277268.  Google Scholar

[11]

J. Hofbauer and J. W.-H. So, Uniform persistence and repellors for maps,, Proceedings of the American Mathematical Society, 107 (1989), 1137.  doi: 10.1090/S0002-9939-1989-0984816-4.  Google Scholar

[12]

D. Kalajdzievska and M. Y. Li, Modeling the effects of carriers on transmission dynamics of infectious diseases,, Math. Biosci. Eng., 8 (2011), 711.  doi: 10.3934/mbe.2011.8.711.  Google Scholar

[13]

M. Y. Li and J. S. Muldowney, A geometric approach to global-stability problems,, SIAM J. Math. Anal., 27 (1996), 1070.  doi: 10.1137/S0036141094266449.  Google Scholar

[14]

J. Li, Y. Xiao, F. Zhang and Y. Yang, An algebraic approach to proving the global stability of a class of epidemic models,, Nonlinear Anal. RWA., 13 (2012), 2006.  doi: 10.1016/j.nonrwa.2011.12.022.  Google Scholar

[15]

Z. Ma, Y. Zhou, W. Wang and Z. Jin, Mathematical Models and Dynamics of Infectious Diseases,, China Sciences Press, (2004).   Google Scholar

[16]

C. C. McCluskey, Complete global stability for an SIR epidemic model with delay-distributed or discrete,, Nonlinear Anal: Real World Appl., 11 (2010), 55.  doi: 10.1016/j.nonrwa.2008.10.014.  Google Scholar

[17]

P. Pongsumpun and I. M. Tang, Transmission of dengue hemorrhagic fever in an age structured population,, Math. Comput. Model., 37 (2003), 949.  doi: 10.1016/S0895-7177(03)00111-0.  Google Scholar

[18]

A. J. Tatem, S. I. Hay and D. J. Rogers, Global traffic and disease vector dispersal,, Proc. Natl. Acad. Sci. USA., 103 (2006), 6242.  doi: 10.1073/pnas.0508391103.  Google Scholar

[19]

H. R. Thieme, Persistence under relaxed point-dissipativity (with application to an endemic model),, SIAM J. Math. Anal., 24 (1993), 407.  doi: 10.1137/0524026.  Google Scholar

[20]

H. M. Yang and C. P. Ferreira, Assessing the effects of vector control on dengue transmission,, Appl. Math. Computat., 198 (2008), 401.  doi: 10.1016/j.amc.2007.08.046.  Google Scholar

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