Research article Special Issues

Cytomegalovirus dynamics model with random behavior

  • Received: 13 May 2020 Accepted: 13 July 2020 Published: 10 August 2020
  • MSC : 60H10, 92B05, 92D30

  • In view of the particularity of cytomegalovirus infection in infants and considering the uncertainty of infection mode and treatment, a dynamic model of cytomegalovirus with random behavior is established in this paper. The existence and uniqueness of the solution of the model are proved. Sufficient conditions for the existence of asymptotic, ergodic and extinctive solutions are provided. By using numerical simulation, the influence of uncertainty in breast milk handling and treatment on the variation of cytomegalovirus (CMV) are analyzed, which provides theoretical support for the strategy of preventing infant infection and the basis treatment.

    Citation: Dong-Mei Li, Bing Chai, Yu-Li Fu, Qi Wang. Cytomegalovirus dynamics model with random behavior[J]. AIMS Mathematics, 2020, 5(6): 6373-6394. doi: 10.3934/math.2020410

    Related Papers:

  • In view of the particularity of cytomegalovirus infection in infants and considering the uncertainty of infection mode and treatment, a dynamic model of cytomegalovirus with random behavior is established in this paper. The existence and uniqueness of the solution of the model are proved. Sufficient conditions for the existence of asymptotic, ergodic and extinctive solutions are provided. By using numerical simulation, the influence of uncertainty in breast milk handling and treatment on the variation of cytomegalovirus (CMV) are analyzed, which provides theoretical support for the strategy of preventing infant infection and the basis treatment.


    加载中


    [1] Q. X. Zeng, J. X. Dong, Y. Meng, et al. Progress in epidemiology of human cytomegalovirus Infection, Shandong medicine, 57 (2017), 1131-1133.
    [2] F. Chiuppesi, T. Kaltcheva, Z. Meng, et al., Identification of a continuous neutralizing epitope within UL128 of human cytomegalovirus, J. Virol., 91 (2017), 1-16.
    [3] S. E. Jackson, G. X. Sedikides, G. M. Mason, et al. Human Cytomegalovirus (HCMV)-Specific CD4+ T Cells are polyfunctional and can respond to HCMV-Infected dendritic cells in vitro, J. Virol., 91 (2017), 1-16.
    [4] D. Song, H. Mei, Research Progress of congenital cytomegalovirus infection in newborns, Medical Recapitulate, 23 (2017), 4453-4457.
    [5] D. Zhu, C. Pan, J. Sheng, et al. Human cytomegalovirus reprogrammes haematopoietic progenitor cells into immunosuppressive monocytes to achieve latency, Nat. Microbiol., 3 (2018), 503-513. doi: 10.1038/s41564-018-0131-9
    [6] Y. H. Li, Analysis of the correlation between breastfeeding of HCMV infected mothers and HCMV infection of newborns, MA. Thesis, Qingdao University, 2015.
    [7] D. C. Moylan, S. K. Pati, S. A. Ross, et al. Breast milk HCMV viral load is associated with the establishment of breast milk CMV-pp65-specific CD8 T cells in Human CMV infected mothers, J. Infect. Dis., 216 (2017), 1176-1179. doi: 10.1093/infdis/jix457
    [8] W. F. Wu, Progress in the treatment of CMV infection, Chinese Medical Journal, 38 (2003), 10-12.
    [9] K. Wang, W. Wang, S. Song, Dynamics of an HBV model with diffusion and delay, J. Theor. Biol., 253 (2008), 36-44. doi: 10.1016/j.jtbi.2007.11.007
    [10] G. Alter, D. Heckerman, A. Schneidewind, et al. HIV-1 adaptation to NK-cell-mediated immune pressure, Nature, 476 (2017), 96-100.
    [11] W. O. Kermack, A. G. Mckendrick, A contribution to the mathematical theory of epidemics, B. Math. Biol., 53 (1991), 57-87.
    [12] X. N. Han, The transmission dynamies of SARS, MA. Thesis, PLA Academy of Military Sciences, 2006.
    [13] R. Zhao, H. Wang, X. Wang, et al. Steroid therapy and the risk of osteonecrosis in SARS patients: a dose-response meta-analysis, Osteoporosis International, 28 (2016), 1027-1034.
    [14] L. F. Zhang, Comparison and parameter estimation between deterministic model and stochastic model of infectious disease transmission, MA. Thesis, Southwest Jiaotong University, 2010.
    [15] A. Q. Miao, J. Zhang, T. Zhang, et al. Threshold dynamics of a stochastic SIR model with vertical transmission and vaccination, Comput. Math. Method. M., 2017 (2017), 1-10.
    [16] P. Y. Xia, Dynamic behavior of several random virus models, Ph.D thesis, Northeast Normal University, 2018.
    [17] C. Y. Ji, Asymptotic behavior of stochastic biological model and infectious disease model, Ph.D thesis, Northeast Normal University, 2011.
    [18] Y. Asai, C. Tomás, X. Han, et al. A random model for immune response to virus in fluctuating environments, Springer International Publishing, 2016.
    [19] Y. Wang, J. Liu, Y. Y. Liu, et al. Establishment of mouse brain latent cytomegalovirus activation model, Progress in Modern Biomedicine, 15 (2015), 4414-4418.
    [20] H. Y. Duan, T. Yu, Diagnosis and treatment progress of cytomegalovirus infection, Chinese Journal of Obstetrics and Gynecology, 6 (2010), 68-71.
    [21] M. A. Nowak, C. Bangham, Population dynamics of immune responses to persistent viruses, Science, 272 (1996), 74-79. doi: 10.1126/science.272.5258.74
    [22] M. A. Nowak, S. Bonhoeffer, A. M. Hill, et al. Viral dynamics in hepatitis B virus infection, Proceedings of the National Academy of Sciences, 93 (1996), 4398-4402. doi: 10.1073/pnas.93.9.4398
    [23] X. Q. Niu, W. D. Li, G. F. Zhu, et al. Modeling the transmission dynamics of hepatitis B Virus and data assimilation forecasting, Mathematics in Practice and Theory, 45 (2015), 205-211.
    [24] J. M. Conway, D. Coombs, A stochastic model of latently infected cell reactivation and viral blip generation in treated HIV patients, PLoS Comput. Biol., 7 (2011), 1-24.
    [25] C. Fraser, N. M. Ferguson, R. M. Anderson, et al. The role of antigenic stimulation and cytotoxic T Cell activity in regulating the long-term immunopathogenesis of HIV: mechanisms and clinical implications, Proceedings: Biological Sciences, 268 (2001), 2085-2095. doi: 10.1098/rspb.2001.1777
    [26] C. Fraser, N. M. Ferguson, R. M. Anderson, Quantification of intrinsic residual viral replication in treated HIV-infected patients, Proceedings of the National Academy of Sciences of the United States of America, 98 (2001), 15167-15172. doi: 10.1073/pnas.261283598
    [27] W. Zhang, L. M. Wahl, P. Yu, Viral blips may not need a trigger: how transient viremia can arise in deterministic in-host models, Siam Rev., 56 (2014), 127-155. doi: 10.1137/130937421
    [28] S. Wang, J. Zhang, F. Xu, et al. Dynamics of virus infection models with densitydependent diffusion, Comput. Math. Appl., 74 (2017), 1-20. doi: 10.1016/j.camwa.2017.05.001
    [29] M. Wei, L. Hu, X. Mao, Neutral stochastic functional differential equations with Lévy jumps under the local Lipschitz condition, Advances in Difference Equations, 2017 (1017), 57.
    [30] R. Khasminskii, Stochastic Stability of Differential Equations, Stochastic stability of differential equations, 1980.
    [31] X. X. Liao, Theory methods and application of sability, 2nd Edition, Huazhong University of Science and Technology Press, Wuhan, 2010.
    [32] N. He, W. D. Wang, A. R. Zhou, et al. Dynamics of stochastic HIV model based on saturation incidence rate, Journal of Southwest University (Natural Science Edition), 40 (2018), 123-125.
  • Reader Comments
  • © 2020 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)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(3616) PDF downloads(225) Cited by(0)

Article outline

Figures and Tables

Figures(5)  /  Tables(1)

Other Articles By Authors

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog