Mathematical Epidemiology - Mathematical Biosciences Subseries 1945 (Paperback)Fred Brauer (editor), Pauline Van De Driessche (editor), Jianhong Wu (editor), L.J.S. Allen (author of contributions), C.T. Bauch (author of contributions), Carlos Castillo-Chavez (author of contributions), D. Earn (author of contributions), Z. Feng (author of contributions), M. A. Lewis (author of contributions), J. Li (author of contributions)
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Based on lecture notes of two summer schools with a mixed audience from mathematical sciences, epidemiology and public health, this volume offers a comprehensive introduction to basic ideas and techniques in modeling infectious diseases, for the comparison of strategies to plan for an anticipated epidemic or pandemic, and to deal with a disease outbreak in real time. It covers detailed case studies for diseases including pandemic influenza, West Nile virus, and childhood diseases. Models for other diseases including Severe Acute Respiratory Syndrome, fox rabies, and sexually transmitted infections are included as applications. Its chapters are coherent and complementary independent units. In order to accustom students to look at the current literature and to experience different perspectives, no attempt has been made to achieve united writing style or unified notation.
Notes on some mathematical background (calculus, matrix algebra, differential equations, and probability) have been prepared and may be downloaded at the web site of the Centre for Disease Modeling (www.cdm.yorku.ca).
Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Number of pages: 414
Weight: 734 g
Dimensions: 235 x 155 x 22 mm
From the reviews:
"This book presents a ... complete picture of mathematical epidemiology from the point of view of the applied mathematics community. ... The stated goal of the book is to `persuade epidemiologists and public health workers that mathematical modelling can be of use to them.' ... There seems to be material for almost every kind of student, with a minimal background in calculus and probability theory ... . A real life lesson that we cannot neglect." (Hernan G. Solari, Mathematical Reviews, Issue 2009 k)