HIV model incorporating differential progression for treatment-naive and treatment-experienced infectives

  • Received: 01 February 2008 Accepted: 29 June 2018 Published: 01 June 2009
  • MSC : Primary: 92D30; Secondary: 92B05; 34D23.

  • We formulate an HIV/AIDS deterministic model which incorporates differential infectivity and disease progression for treatment-naive and treatment-experienced HIV/AIDS infectives. To illustrate our model, we have applied it to estimate adult HIV prevalence, the HIV population, the number of new infectives and the number of AIDS deaths for Botswana for the period 1984 to 2012. It is found that the prevalence peaked in the year 2000 and the HIV population is now decreasing. We have also found that under the current conditions, the reproduction number is Rc1.3, which is less than the 2004 estimate of Rc 4 by [11] and [13]. The results in this study suggest that the HAART program has yielded positive results for Botswana.

    Citation: Esther Chigidi, Edward M. Lungu. HIV model incorporating differential progression for treatment-naive and treatment-experienced infectives[J]. Mathematical Biosciences and Engineering, 2009, 6(3): 427-450. doi: 10.3934/mbe.2009.6.427

    Related Papers:

    [1] Gordon Akudibillah, Abhishek Pandey, Jan Medlock . Optimal control for HIV treatment. Mathematical Biosciences and Engineering, 2019, 16(1): 373-396. doi: 10.3934/mbe.2019018
    [2] Divya Thakur, Belinda Marchand . Hybrid optimal control for HIV multi-drug therapies: A finite set control transcription approach. Mathematical Biosciences and Engineering, 2012, 9(4): 899-914. doi: 10.3934/mbe.2012.9.899
    [3] Lih-Ing W. Roeger, Z. Feng, Carlos Castillo-Chávez . Modeling TB and HIV co-infections. Mathematical Biosciences and Engineering, 2009, 6(4): 815-837. doi: 10.3934/mbe.2009.6.815
    [4] Federico Papa, Francesca Binda, Giovanni Felici, Marco Franzetti, Alberto Gandolfi, Carmela Sinisgalli, Claudia Balotta . A simple model of HIV epidemic in Italy: The role of the antiretroviral treatment. Mathematical Biosciences and Engineering, 2018, 15(1): 181-207. doi: 10.3934/mbe.2018008
    [5] Oluwaseun Sharomi, Chandra N. Podder, Abba B. Gumel, Baojun Song . Mathematical analysis of the transmission dynamics of HIV/TB coinfection in the presence of treatment. Mathematical Biosciences and Engineering, 2008, 5(1): 145-174. doi: 10.3934/mbe.2008.5.145
    [6] Georgi Kapitanov . A double age-structured model of the co-infection of tuberculosis and HIV. Mathematical Biosciences and Engineering, 2015, 12(1): 23-40. doi: 10.3934/mbe.2015.12.23
    [7] Gesham Magombedze, Winston Garira, Eddie Mwenje . Modelling the immunopathogenesis of HIV-1 infection and the effect of multidrug therapy: The role of fusion inhibitors in HAART. Mathematical Biosciences and Engineering, 2008, 5(3): 485-504. doi: 10.3934/mbe.2008.5.485
    [8] Moatlhodi Kgosimore, Edward M. Lungu . The Effects of Vertical Transmission on the Spread of HIV/AIDS in the Presence of Treatment. Mathematical Biosciences and Engineering, 2006, 3(2): 297-312. doi: 10.3934/mbe.2006.3.297
    [9] Sonza Singh, Anne Marie France, Yao-Hsuan Chen, Paul G. Farnham, Alexandra M. Oster, Chaitra Gopalappa . Progression and transmission of HIV (PATH 4.0)-A new agent-based evolving network simulation for modeling HIV transmission clusters. Mathematical Biosciences and Engineering, 2021, 18(3): 2150-2181. doi: 10.3934/mbe.2021109
    [10] M. Hadjiandreou, Raul Conejeros, Vassilis S. Vassiliadis . Towards a long-term model construction for the dynamic simulation of HIV infection. Mathematical Biosciences and Engineering, 2007, 4(3): 489-504. doi: 10.3934/mbe.2007.4.489
  • We formulate an HIV/AIDS deterministic model which incorporates differential infectivity and disease progression for treatment-naive and treatment-experienced HIV/AIDS infectives. To illustrate our model, we have applied it to estimate adult HIV prevalence, the HIV population, the number of new infectives and the number of AIDS deaths for Botswana for the period 1984 to 2012. It is found that the prevalence peaked in the year 2000 and the HIV population is now decreasing. We have also found that under the current conditions, the reproduction number is Rc1.3, which is less than the 2004 estimate of Rc 4 by [11] and [13]. The results in this study suggest that the HAART program has yielded positive results for Botswana.


  • This article has been cited by:

    1. Shu Su, Christopher Kincaid Fairley, Limin Mao, Nicholas A. Medland, Jun Jing, Feng Cheng, Lei Zhang, Estimates of the national trend of drugs use during 2000–2030 in China: A population-based mathematical model, 2019, 93, 03064603, 65, 10.1016/j.addbeh.2019.01.022
  • Reader Comments
  • © 2009 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(2557) PDF downloads(491) Cited by(1)

Article outline

Other Articles By Authors

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog