The Geographic Spread of Infectious Diseases : : Models and Applications / / Lisa Sattenspiel.

The 1918-19 influenza epidemic killed more than fifty million people worldwide. The SARS epidemic of 2002-3, by comparison, killed fewer than a thousand. The success in containing the spread of SARS was due largely to the rapid global response of public health authorities, which was aided by insight...

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Superior document:Title is part of eBook package: De Gruyter Princeton University Press eBook-Package Backlist 2000-2013
VerfasserIn:
Place / Publishing House:Princeton, NJ : : Princeton University Press, , [2009]
©2009
Year of Publication:2009
Edition:Course Book
Language:English
Series:Princeton Series in Theoretical and Computational Biology ; 5
Online Access:
Physical Description:1 online resource (304 p.) :; 44 line illus. 1 table.
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245 1 4 |a The Geographic Spread of Infectious Diseases :  |b Models and Applications /  |c Lisa Sattenspiel. 
250 |a Course Book 
264 1 |a Princeton, NJ :   |b Princeton University Press,   |c [2009] 
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300 |a 1 online resource (304 p.) :  |b 44 line illus. 1 table. 
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505 0 0 |t Frontmatter --   |t Contents --   |t Preface --   |t Chapter One. Introduction --   |t Chapter Two. The Art of Epidemic Modeling: Concepts and Basic Structures --   |t Chapter Three. Modeling the Geographic Spread of In uenza Epidemics --   |t Chapter Four. Modeling Geographic Spread I: Population-based Approaches --   |t Chapter Five. Spatial Heterogeneity and Endemicity: The Case of Measles --   |t Chapter Six. Modeling Geographic Spread II: Individual-based Approaches --   |t Chapter Seven. Spatial Models and the Control of Foot-and-Mouth Disease --   |t Chapter Eight. Maps, Projections, and GIS: Geographers' Approaches --   |t Chapter Nine. Revisiting SARS and Looking to the Future --   |t Bibliography --   |t Index 
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520 |a The 1918-19 influenza epidemic killed more than fifty million people worldwide. The SARS epidemic of 2002-3, by comparison, killed fewer than a thousand. The success in containing the spread of SARS was due largely to the rapid global response of public health authorities, which was aided by insights resulting from mathematical models. Models enabled authorities to better understand how the disease spread and to assess the relative effectiveness of different control strategies. In this book, Lisa Sattenspiel and Alun Lloyd provide a comprehensive introduction to mathematical models in epidemiology and show how they can be used to predict and control the geographic spread of major infectious diseases. Key concepts in infectious disease modeling are explained, readers are guided from simple mathematical models to more complex ones, and the strengths and weaknesses of these models are explored. The book highlights the breadth of techniques available to modelers today, such as population-based and individual-based models, and covers specific applications as well. Sattenspiel and Lloyd examine the powerful mathematical models that health authorities have developed to understand the spatial distribution and geographic spread of influenza, measles, foot-and-mouth disease, and SARS. Analytic methods geographers use to study human infectious diseases and the dynamics of epidemics are also discussed. A must-read for students, researchers, and practitioners, no other book provides such an accessible introduction to this exciting and fast-evolving field. 
530 |a Issued also in print. 
538 |a Mode of access: Internet via World Wide Web. 
546 |a In English. 
588 0 |a Description based on online resource; title from PDF title page (publisher's Web site, viewed 30. Aug 2021) 
650 0 |a Communicable diseases  |x Epidemiology  |x Mathematical models. 
650 7 |a MEDICAL / Epidemiology.  |2 bisacsh 
653 |a Wuhan virus. 
653 |a Wuhan. 
653 |a coronavirus precautions. 
653 |a coronavirus symptoms. 
653 |a coronavirus usa cases. 
653 |a coronavirus. 
653 |a mers. 
653 |a sars. 
653 |a wuhan coronavirus sequence. 
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