Stochastic Processes in Epidemiology

Hiv/Aids, Other Infectious Diseases and Computers

By: Charles J. Mode, Candace K. Sleeman

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Hardcover | 9 June 2000

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768 Pages

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23.5 x 17.15 x 4.45

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AIDS (autoimmune deficiency syndrome) is a devastating human disease cause by HIV, a human immunodeficiency virus, which may be transmitted by either sexual or other contacts in which body fluids are exchanged. Cases of AIDS have been reported in a majority of countries throughout the world, indicating that the HIV/AIDS epidemic is international in scope.This book deals with the mathematical and statistical techniques underlying the models used to understand the population dynamics of not only HIV/AIDS but also other infectious diseases. Attention is given to the development strategies for the prevention and control of the international epidemic within the frameworks of the models. Two distinguishing features of the book are the incorporation of stochastic and deterministic formulations within a unifying conceptual framework and the discussion of issues related to the mathematical designs of models, which are necessary for the rigorous utilization of computer-intensive methods. The book will be of value to applied mathematicians, biomathematicians, biostatisticians, epidemiologists and other scientists interested in applying mathematics and computers to not only the HIV/AIDS epidemic but also other fields of epidemiology.

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You Can Find This Book In

Non-Fiction Medicine Medicine in General Public Health & Preventive Medicine Epidemiology & Medical Statistics Mathematics Applied Mathematics Stochastics Computing & I.T.Computer Science Clinical & Internal Medicine Diseases & Disorders

Infectious & Contagious Diseases Science Biology, Life Sciences Booktopia Publisher Services World Scientific Publishing Probability & Statistics

Biology and Epidemiology of HIV/AIDS	p. 1
Models of Incubation and Infectious Periods	p. 23
Continuous Time Markov and Semi-Markov Jump Processes	p. 60
Semi-Markov Jump Processes in Discrete Time	p. 102
Models of HIV Latency Based on a Log-Gaussian Process	p. 131
The Threshold Parameter of One-Type Branching Processes	p. 168
A Structural Approach to SIS and SIR Models	p. 218
Threshold Parameters For Multi-Type Branching Processes	p. 274
Computer Intensive Methods for the Multi-Type Case	p. 316
Non-linear Stochastic Models in Homosexual Populations	p. 357
Stochastic Partnership Models in Homosexual Populations	p. 445
Heterosexual Populations with Partnerships	p. 545
Age-Dependent Stochastic Models with Partnerships	p. 681
Epilogue - Future Research Directions	p. 718
Table of Contents provided by Blackwell. All Rights Reserved.

Stochastic Processes in Epidemiology

Hiv/Aids, Other Infectious Diseases and Computers

At a Glance

Hardcover

Shipping

How to return your order

Defective items

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