Mathematical Approaches for Emerging and Reemerging Infectious Diseases: Models, Methods, and Theory (Hardcover, 2002 ed.)

This book grew out of the discussions and presentations that began during the Workshop on Emerging and Reemerging Diseases (May 17-21, 1999) sponsored by the Institute for Mathematics and its Application (IMA) at the University of Minnesota with the support of NIH and NSF. The workshop started with a two-day tutorial session directed to ecologists, epidemiologists, immunologists, mathematicians, and scientists interested in the study of disease dynamics. The core of this second volume, Volume 126, covers research contributions on the use of dynamical systems (deterministic discrete, delay, PDEs, and ODEs models) and stochastic models in disease dynamics. Contributions motivated by the study of diseases like influenza, HIV, tuberculosis, and macroparasitic like schistosomiasis are also included. This second volume requires additional mathematical sophistication, and graduate students in applied mathematics, scientists in the natural, social, and health sciences, or mathematicians who want to enter the field of mathematical and theoretical epidemiology will find it useful. The collection of contributors includes many who have been in the forefront of the development of the subject.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	The IMA Volumes in Mathematics and its Applications, 126
Release date:	May 2002
First published:	May 2002
Editors:	Carlos Castillo-Chavez • Sally Blower • Pauline Van Den Driessche • Denise Kirschner • Abdul-Aziz Yakubu
Dimensions:	235 x 155 x 22mm (L x W x T)
Format:	Hardcover
Pages:	377
Edition:	2002 ed.
ISBN-13:	978-0-387-95355-7
Categories:	Books > Medicine > General issues > Public health & preventive medicine > Epidemiology & medical statistics Books > Science & Mathematics > Mathematics > Applied mathematics > Stochastics Books > Medicine > Clinical & internal medicine > Diseases & disorders > Infectious & contagious diseases > General
LSN:	0-387-95355-8
Barcode:	9780387953557

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