Name: Stochastic Processes in Epidemiology: Hiv/Aids, Other Infectious Diseases and Computers (en Inglés)
SKU: 25306496
Price: 377430.00 CLP
Availability: InStock
Author: Mode, Charles J. ; Sleeman, Candace K.
ISBN: 9789810240974

portada Stochastic Processes in Epidemiology: Hiv/Aids, Other Infectious Diseases and Computers (en Inglés)

Stochastic Processes in Epidemiology: Hiv/Aids, Other Infectious Diseases and Computers (en Inglés)

Formato

Libro Físico

Autor

Charles J. Mode

Candace K. Sleeman

Editorial

World Scientific Publishing Company

Año

2000

Idioma

Inglés

N° páginas

768

Encuadernación

Tapa Dura

Dimensiones

22.5x16.6x4.3 cm

Peso

1.19 kg.

ISBN

981024097x

ISBN13

9789810240974

Categorías

Investigación médica
Epidemiología y estadística médica
Matemáticas aplicadas

Stochastic Processes in Epidemiology: Hiv/Aids, Other Infectious Diseases and Computers (en Inglés)

Charles J. Mode (Autor) · Candace K. Sleeman (Autor) · World Scientific Publishing Company · Tapa Dura

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Reseña del libro "Stochastic Processes in Epidemiology: Hiv/Aids, Other Infectious Diseases and Computers (en Inglés)"

AIDS (autoimmune deficiency syndrome) is a devastating human disease caused 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.