A Parameter Sensitivity Methodology in the Context of HIV Delay Equation Models

Abstract

Over the past several years, the use of mathematical models as an aid in understanding features of HIV and other virus infection dynamics has been substantial. Several papers published in the mid nineties provided strong evidence for the high rate of HIV-1 replication and clearance in infected individuals [16, 37, 51]. By the end of the decade, the general consensus was that in vivo, on the order of 10(10) virions are assembled and cleared every day [25, 35, 39]. In many of these papers, the viral clearance rate c was identified by modeling the disease pathogenesis with a system of deterministic differential equations, numerically calculating a solution, and then fitting the results with experimental data (using a nonlinear least squares (NLS) approach), e.g., see [35, 37, 39]. The existence of such a high replication/clearance rate implies a high mutation rate, thus indicating that pharmacological mono-therapy will ultimately fail, since the virus can rapidly manifest a resistance to any one drug. More importantly, this knowledge directly contributed to the current practice of simultaneously administering multiple drugs to HIV positive individuals in an effort to counteract the high mutation rate of the virus.

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Document Details

Document Type
Technical Report
Publication Date
Aug 07, 2002
Accession Number
ADA444054

Entities

People

  • D. M. Bortz
  • H. Thomas Banks

Organizations

  • North Carolina State University

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Abstracts
  • Biological Sciences
  • Cells
  • Computational Science
  • Computations
  • Control Theory
  • Differential Equations
  • Diseases And Disorders
  • Equations
  • Experimental Data
  • Infection
  • Mathematical Models
  • Models
  • Navier Stokes Equations
  • Sensitivity
  • Simulations
  • Wound Infections

Fields of Study

  • Biology

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Oncology
  • Virology (or Medical Virology).