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System Dynamic simulation of treatment policies to address colliding epidemics of tuberculosis, drug resistant tuberculosis and injecting drug users driven HIV in Russia

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Listed:
  • R M Lebcir

    (University of Hertfordshire)

  • R A Atun

    (Imperial College London)

  • R J Coker

    (London School of Hygiene and Tropical Medicine)

Abstract

The explosive increase in the number of people infected with tuberculosis (TB), multi drug resistant tuberculosis (MDRTB), and injecting drug users (IDU) HIV/AIDS has become a serious public health challenge in Russia. The World Health Organization is recommending policies including simultaneous use of highly active antiretroviral therapy (HAART) to treat HIV/AIDS and second line drugs to treat MDRTB. We developed a System Dynamics simulation model to represent the dynamic transmission of TB, MDRTB and human immunodeficiency virus (HIV). The model simulated scenarios regarding MDRTB cure rate and HAART coverage, that is the HIV/AIDS population covered by HAART. The results over a 20-year period indicate that reduction in TB and HIV-associated TB deaths would be negligible for HAART coverage up to 50%. The reduction is only significant for HAART coverage of 70% and above. Similarly, high MDRTB cure rate reduces significantly deaths from TB and MDRTB and this reduction is more important as the HAART coverage is increased.

Suggested Citation

  • R M Lebcir & R A Atun & R J Coker, 2010. "System Dynamic simulation of treatment policies to address colliding epidemics of tuberculosis, drug resistant tuberculosis and injecting drug users driven HIV in Russia," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(8), pages 1238-1248, August.
    • Handle: RePEc:pal:jorsoc:v:61:y:2010:i:8:d:10.1057_jors.2009.90
    DOI: 10.1057/jors.2009.90
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    References listed on IDEAS

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    Cited by:

    1. Chang, Angela Y. & Ogbuoji, Osondu & Atun, Rifat & Verguet, Stéphane, 2017. "Dynamic modeling approaches to characterize the functioning of health systems: A systematic review of the literature," Social Science & Medicine, Elsevier, vol. 194(C), pages 160-167.
    2. Negar Darabi & Niyousha Hosseinichimeh, 2020. "System dynamics modeling in health and medicine: a systematic literature review," System Dynamics Review, System Dynamics Society, vol. 36(1), pages 29-73, January.
    3. Alberto Sardi & Enrico Sorano, 2019. "Dynamic Performance Management: An Approach for Managing the Common Goods," Sustainability, MDPI, vol. 11(22), pages 1-22, November.
    4. Mohammad Reza Davahli & Waldemar Karwowski & Redha Taiar, 2020. "A System Dynamics Simulation Applied to Healthcare: A Systematic Review," IJERPH, MDPI, vol. 17(16), pages 1-27, August.
    5. A. Sardi & E. Sorano, 2021. "Dynamic Performance Management: An Approach for Managing the Common Goods," Papers 2102.04090, arXiv.org.

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