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Mathematical Biosciences and Engineering

2016, Volume 13, Issue 1: 135-157. doi: 10.3934/mbe.2016.13.135
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A delayed HIV-1 model with virus waning term

  • 1.
    Academy of Fundamental and Interdisciplinary Science, Harbin Institute of Technology, 3041#, 2 Yi-Kuang street, Harbin, 150080
  • 2.
    Department of Mathematics, Wilfrid Laurier University, Waterloo, Ontario, N2L 3C5
  • 3.
    Academy of Fundamental and Interdisciplinary Sciences, Harbin Institute of Technology, 3041#, 2 Yi-Kuang Street, Harbin, 150080
  • Received: 01 April 2015 Accepted: 29 June 2018 Published: 01 October 2015

  • MSC : Primary: 34K20, 92D30; Secondary: 34K18.

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    In this paper, we propose and analyze a delayed HIV-1 model with CTL immune response and virus waning. The two discrete delays stand for the time for infected cells to produce viruses after viral entry and for the time for CD$8^+$ T cell immune response to emerge to control viral replication. We obtain the positiveness and boundedness of solutions and find the basic reproduction number $R_0$. If $R_0<1 then="" the="" infection-free="" steady="" state="" is="" globally="" asymptotically="" stable="" and="" the="" infection="" is="" cleared="" from="" the="" t-cell="" population="" whereas="" if="" r_0="">1$, then the system is uniformly persistent and the viral concentration maintains at some constant level. The global dynamics when $R_0>1$ is complicated. We establish the local stability of the infected steady state and show that Hopf bifurcation can occur. Both analytical and numerical results indicate that if, in the initial infection stage,the effect of delays on HIV-1 infection is ignored, then the risk of HIV-1 infection (if persists) will be underestimated. Moreover, the viral load differs from that without virus waning. These results highlight the important role of delays and virus waning on HIV-1 infection.

    Citation: Bing Li, Yuming Chen, Xuejuan Lu, Shengqiang Liu. A delayed HIV-1 model with virus waning term[J]. Mathematical Biosciences and Engineering, 2016, 13(1): 135-157. doi: 10.3934/mbe.2016.13.135

    Related Papers:

  • In this paper, we propose and analyze a delayed HIV-1 model with CTL immune response and virus waning. The two discrete delays stand for the time for infected cells to produce viruses after viral entry and for the time for CD$8^+$ T cell immune response to emerge to control viral replication. We obtain the positiveness and boundedness of solutions and find the basic reproduction number $R_0$. If $R_0<1 then="" the="" infection-free="" steady="" state="" is="" globally="" asymptotically="" stable="" and="" the="" infection="" is="" cleared="" from="" the="" t-cell="" population="" whereas="" if="" r_0="">1$, then the system is uniformly persistent and the viral concentration maintains at some constant level. The global dynamics when $R_0>1$ is complicated. We establish the local stability of the infected steady state and show that Hopf bifurcation can occur. Both analytical and numerical results indicate that if, in the initial infection stage,the effect of delays on HIV-1 infection is ignored, then the risk of HIV-1 infection (if persists) will be underestimated. Moreover, the viral load differs from that without virus waning. These results highlight the important role of delays and virus waning on HIV-1 infection.


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    [1] MMWR Morb Mortal Wkly Rep, 31 (1982), 652-654.
    [2] New Jersey, California, MMWR Morb Mortal Wkly Rep, 31 (1982), 665-667.
    [3] MMWR Morb Mortal Wkly Rep, 31 (1983), 697-698.
    [4] J. Theor. Biol., 259 (2009), 751-759.
    [5] Math. Biosci., 200 (2006), 1-27.
    [6] J. Math. Biol., 48 (2004), 545-562.
    [7] SIAM J. Appl. Math., 63 (2003), 1313-1327.
    [8] Nature Medicine, 9 (2003), 839-843.
    [9] Science, 298 (2002), 1728-1730.
    [10] Springer-Verlag, New York, 1993.
    [11] J. Theor. Biol., 236 (2005), 137-153.
    [12] Proc. Natl. Acad. Sci. USA, 93 (1996), 7247-7251.
    [13] SIAM J. Appl. Math., 70 (2010), 2693-2708.
    [14] The New England Journal of Medicine, 344 (2001), 1764-1772.
    [15] Journal of Biological Systems, 21 (2013), 1340012, 20pp.
    [16] SIAM J. Appl. Math., 70 (2010), 2434-2448.
    [17] Mathematical Biosciences and Engineering, 7 (2010), 675-685.
    [18] Mathematical Biosciences and Engineering, 12 (2015), 431-449.
    [19] Science, 298 (2002), 1727-1728.
    [20] Science, 272 (1996), 74-79.
    [21] Oxford University Press, Oxford, 2000.
    [22] Mathematical Biosciences, 235 (2012), 98-109.
    [23] PLoS Comput Biol., 7 (2011), e1001058, 17 pp.
    [24] Science, 271 (1996), 1582-1586.
    [25] Journal of Virology, 84 (2010), 6096-6102.
    [26] Bulletin of Mathematical Biology, 69 (2007), 2027-2060.
    [27] SIAM J. Appl. Math., 73 (2013), 1280-1302.
    [28] Nonlinear Anal., 47 (2001), 6169-6179.
    [29] Mathematical biosciences and engineering, 12 (2015), 185-208.
    [30] J. Theor. Biol., 203 (2000), 285-301.
    [31] Mathematical Methods in the Applied Science, 36 (2013), 125-142.
    [32] J. Math. Biol., 67 (2013), 901-934.
    [33] Physica D, 130 (1999), 255-272.
    [34] Springer, Berlin, 2003.
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  • © 2016 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
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