HIV dynamics: Modeling, data analysis, and optimal treatment protocols

被引：157

作者：

Adams, BM

Banks, HT

Davidian, M

Kwon, HD

Tran, HT

Wynne, SN

Rosenberg, ES

机构：

[1] Harvard Univ, Sch Med, Massachusetts Gen Hosp, Boston, MA 02114 USA

[2] Inha Univ, Dept Math, Inchon, South Korea

来源：

JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS | 2005年 / 184卷 / 01期

基金：

美国国家科学基金会;

关键词：

HIV models; parameter estimation; data and model reduction; structured treatment interruptions; optimal control;

D O I：

10.1016/j.cam.2005.02.004

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

We present an overview of some concepts and methodologies we believe useful in modeling HIV pathogenesis. After a brief discussion of motivation for and previous efforts in the development of mathematical models for progression of HIV infection and treatment, we discuss mathematical and statistical ideas relevant to Structured Treatment Interruptions (STI). Among these are model development and validation procedures including parameter estimation, data reduction and representation, and optimal control relative to STI. Results from initial attempts in each of these areas by an interdisciplinary team of applied mathematicians, statisticians and clinicians are presented. (c) 2005 Elsevier B.V. All rights reserved.

引用

页码：10 / 49

页数：40

共 70 条

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ADAMS BM, 2003, IN PRESS MATH BIOSCI

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