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Short-Term Antiretroviral Treatment Recommendations Based on Sensitivity Analysis of a Mathematical Model for HIV Infection of CD4âºΤ Cells.
Croicu, Ana-Maria; Jarrett, Angela M; Cogan, N G; Hussaini, M Yousuff.
Affiliation
  • Croicu AM; Department of Mathematics, Kennesaw State University, 1000 Chastain Rd., Kennesaw, GA, 30144, USA. acroicu@kennesaw.edu.
  • Jarrett AM; Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, TX, USA.
  • Cogan NG; Department of Mathematics, Florida State University, Tallahassee, FL, USA.
  • Hussaini MY; Department of Mathematics, Florida State University, Tallahassee, FL, USA.
Bull Math Biol ; 79(11): 2649-2671, 2017 11.
Article in En | MEDLINE | ID: mdl-28940123
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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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: HIV Infections / Anti-HIV Agents / Models, Biological Type of study: Diagnostic_studies / Guideline Limits: Humans Language: En Journal: Bull Math Biol Year: 2017 Document type: Article Affiliation country: Estados Unidos Country of publication: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: HIV Infections / Anti-HIV Agents / Models, Biological Type of study: Diagnostic_studies / Guideline Limits: Humans Language: En Journal: Bull Math Biol Year: 2017 Document type: Article Affiliation country: Estados Unidos Country of publication: Estados Unidos