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Short-Term Antiretroviral Treatment Recommendations Based on Sensitivity Analysis of a Mathematical Model for HIV Infection of CD4+T Cells

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Abstract

HIV infection is one of the most difficult infections to control and manage. The most recent recommendations to control this infection vary according to the guidelines used (US, European, WHO) and are not patient-specific. Unfortunately, no two individuals respond to infection and treatment quite the same way. The purpose of this paper is to make use of the uncertainty and sensitivity analysis to investigate possible short-term treatment options that are patient-specific. We are able to identify the most significant parameters that are responsible for ART outcome and to formulate some insights into the ART success.

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Acknowledgements

This work was partially supported by the NSF-CBET #1510743 Grant.

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Authors and Affiliations

  1. Department of Mathematics, Kennesaw State University, 1000 Chastain Rd., Kennesaw, GA, 30144, USA

    Ana-Maria Croicu

  2. Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, TX, USA

    Angela M. Jarrett

  3. Department of Mathematics, Florida State University, Tallahassee, FL, USA

    N. G. Cogan & M. Yousuff Hussaini

Authors
  1. Ana-Maria Croicu
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  2. Angela M. Jarrett
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  3. N. G. Cogan
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  4. M. Yousuff Hussaini
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Correspondence to Ana-Maria Croicu.

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Croicu, AM., Jarrett, A.M., Cogan, N.G. et al. Short-Term Antiretroviral Treatment Recommendations Based on Sensitivity Analysis of a Mathematical Model for HIV Infection of CD4+T Cells. Bull Math Biol 79, 2649–2671 (2017). https://doi.org/10.1007/s11538-017-0345-7

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  • DOI: https://doi.org/10.1007/s11538-017-0345-7

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