Search Advanced

Mathematical Biosciences and Engineering

2013, Volume 10, Issue 4: 959-977. doi: 10.3934/mbe.2013.10.959
Previous Article Next Article

The ratio of hidden HIV infection in Cuba

  • 1.
    Dept. of Applied Mathematics, University of Málaga, 29071 Málaga
  • 2.
    Dept. of Electronics Technology, University of Málaga, 29071 Málaga
  • Received: 01 August 2012 Accepted: 29 June 2018 Published: 01 June 2013

  • MSC : Primary: 34D20, 93E12; Secondary: 92D30.

  • In this work we propose the definition of the ratio of hidden infection of HIV/AIDS epidemics, as the division of the unknown infected population by the known one. The merit of the definition lies in allowing for an indirect estimation of the whole of the infected population. A dynamical model for the ratio is derived from a previous HIV/AIDS model, which was proposed for the Cuban case, where active search for infected individuals is carried out through a contact tracing program. The stability analysis proves that the model for the ratio possesses a single positive equilibrium, which turns out to be globally asymptotically stable. The sensitivity analysis provides an insight into the relative performance of various methods for detection of infected individuals. An exponential regression has been performed to fit the known infected population, owing to actual epidemiological data of HIV/AIDS epidemics in Cuba. The goodness of the obtained fit provides additional support to the proposed model.

    Citation: Miguel Atencia, Esther García-Garaluz, Gonzalo Joya. The ratio of hidden HIV infection in Cuba[J]. Mathematical Biosciences and Engineering, 2013, 10(4): 959-977. doi: 10.3934/mbe.2013.10.959

    Related Papers:

  • In this work we propose the definition of the ratio of hidden infection of HIV/AIDS epidemics, as the division of the unknown infected population by the known one. The merit of the definition lies in allowing for an indirect estimation of the whole of the infected population. A dynamical model for the ratio is derived from a previous HIV/AIDS model, which was proposed for the Cuban case, where active search for infected individuals is carried out through a contact tracing program. The stability analysis proves that the model for the ratio possesses a single positive equilibrium, which turns out to be globally asymptotically stable. The sensitivity analysis provides an insight into the relative performance of various methods for detection of infected individuals. An exponential regression has been performed to fit the known infected population, owing to actual epidemiological data of HIV/AIDS epidemics in Cuba. The goodness of the obtained fit provides additional support to the proposed model.


    加载中
    [1] World Health Organization, Geneva, 2007.
    [2] Oxford University Press, 1991.
    [3] in "Computational and Ambient Intelligence" (eds. F. Sandoval, A. Prieto, J. Cabestany and M. Graña), 4507 of Lecture Notes in Computer Science, 948-955. Springer, (2007).
    [4] in "Artificial Neural Nets Problem Solving Methods" (eds. J. Mira and J. Álvarez), 2687 of Lecture Notes in Computer Science, 1053-1053. Springer, (2003).
    [5] in "Advances in Computational Intelligence" (eds. J. Cabestany, I. Rojas and G. Joya), Springer, 6692 (2011), 516-523.
    [6] Oxford University Press, 1975.
    [7] Mathematical Biosciences and Engineering, 2 (2005), 133-152.
    [8] Mathematical Medicine and Biology, 19 (2002), 221-234.
    [9] Revista Cubana de Medicina Tropical, 55 (2003), 30-37.
    [10] Journal of Computational Physics, 21 (1976), 123-143.
    [11] John Wiley, 2000.
    [12] Neurocomputing, 74 (2011), 2691-2697.
    [13] Journal of Biological Systems, 11 (2003), 377-405.
    [14] Springer, 1993.
    [15] Academic Press, 1974.
    [16] in "Deterministic and Stochastic Models of AIDS Epidemics and HIV Infections with Intervention," 77-92. World Scientific, (2005).
    [17] Journal of Biological Systems, 13 (2005), 441-454.
    [18] Prentice-Hall, 1996.
    [19] Springer, 2011.
    [20] Macmillan Publishing Company, New York, 1992.
    [21] Prentice Hall, 1999.
    [22] Springer, 2002.
    [23] Applied Mathematics and Computation, 217 (2011), 9575-9591.
    [24] Mathematical Biosciences and Engineering, 3 (2006), 545-556.
    [25] Kluwer Academic Publishers, 2002.
    [26] Society for Industrial and Applied Mathematics, 2002.
  • Reader Comments
  • © 2013 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
Mathematical Biosciences and Engineering
2.080 2.1

Metrics

Article views(360) PDF downloads(484) Cited by(1)

Download PDF
Download XML
Export Citation
Article outline

Other Articles By Authors

Related pages

Tools

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog