Overview

With contributions from an international team of leading researchers, the book pulls together updated research results in the area of HIV/AIDS modeling to provide readers with the latest information in the field. Topics covered include: AIDS epidemic models; vaccine models; models for HIV/cell dynamics and interactions; cellular kinetics; viral dynamics with antiviral treatments; modeling of drug resistance and quasispecies; and modeling of HIV genetics. Extensive deterministic models, statistic models, stochastic models and state space models on treating AIDS patients with anti-retroviral drugs are provided, as well as an in-depth discussion of these models. The book also contains updated reviews on mathematical models for assessing effects of AIDS vaccines, statistical methods for analyzing clinical trial data on AIDS vaccines, and overviews of models and statistical methods for assessing drug resistance of HIV to anti-retroviral drugs. Some important statistical methods specific to the intervention and prevention of HIV epidemic are also discussed. This will be a useful reference source for graduate students and researchers in biomathematics and biostatistics, as well as for HIV/AIDS epidemiologists and clinical investigators learning quantitative methods to study AIDS epidemics and HIV infection.

Full Product Details

Author:   Wai-yuan Tan (Suang-lien Elderly Center, Taiwan) ,  Hulin Wu (Univ Of Rochester Medical Center, Usa)
Publisher:   World Scientific Publishing Co Pte Ltd
Imprint:   World Scientific Publishing Co Pte Ltd
Dimensions:   Width: 15.60cm , Height: 3.70cm , Length: 23.50cm
Weight:   1.007kg
ISBN:  

9789812561398

ISBN 10:   9812561390
Pages:   612
Publication Date:   08 July 2005
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Awaiting stock  
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Table of Contents

AIDS Epidemic Models; Vaccine Models; Models for HIV/Cell Dynamics and Interactions; Cellular Kinetics; Viral Dynamics with Antiviral Treatments; Modeling Drug Resistance and Quasispecies; Modeling HIV Genetics.

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