Mathematical epidemiology
Author(s)
Bibliographic Information
Mathematical epidemiology
(Lecture notes in mathematics, 1945 . Mathematical biosciences subseries)
Springer, c2008
Available at 59 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Includes bibliographical references and index
Description and Table of Contents
Description
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).
Table of Contents
and General Framework.- A Light Introduction to Modelling Recurrent Epidemics.- Compartmental Models in Epidemiology.- An Introduction to Stochastic Epidemic Models.- Advanced Modeling and Heterogeneities.- An Introduction to Networks in Epidemic Modeling.- Deterministic Compartmental Models: Extensions of Basic Models.- Further Notes on the Basic Reproduction Number.- Spatial Structure: Patch Models.- Spatial Structure: Partial Differential Equations Models.- Continuous-Time Age-Structured Models in Population Dynamics and Epidemiology.- Distribution Theory, Stochastic Processes and Infectious Disease Modelling.- Case Studies.- The Role of Mathematical Models in Explaining Recurrent Outbreaks of Infectious Childhood Diseases.- Modeling Influenza: Pandemics and Seasonal Epidemics.- Mathematical Models of Influenza: The Role of Cross-Immunity, Quarantine and Age-Structure.- A Comparative Analysis of Models for West Nile Virus.
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