DETERMINISTIC AND STOCHASTIC MODELS OF AIDS EPIDEMICS AND HIV INFECTIONS WITH INTERVENTION
by Wai-Yuan Tan (University of Memphis, USA) & Hulin Wu (University of Rochester, USA)
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.
Extensive deterministic models, statistical 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.
Contents:
- Mathematical Models for HIV Transmission Among Injecting Drug Users (V Capasso & D Morale)
- A Class of Methods for HIV Contact Tracing in Cuba: Implications for Intervention and Treatment (Y-H Hsieh et al.)
- Dynamical Models for the Course of an HIV Infection (C Kamp)
- Identifiability of HIV/AIDS Models (A M Jeffrey & X Xia)
- A Branching Process Model of Drug Resistant HIV (H Zhou & K S Dorman)
- Design of Population Studies of HIV Dynamics (C Han & K Chaloner)
- Statistical Estimation, Inference and Hypothesis Testing of Parameters in Ordinary Differential Equations Models of HIV Dynamics (S Holte)
- and other papers
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Readership: Upper-level undergraduates, graduate students,
biomathematical and biostatistical researchers, HIV/AIDS epidemiologists and researchers, AIDS clinical investigators.
