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The Geographic Spread of Infectious Diseases : Models and Applications /

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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Detalles Bibliográficos
Autores principales: Sattenspiel, Lisa (Autor), Lloyd, Alun, 1970- (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Princeton : Princeton University Press, 2009.
Colección:Book collections on Project MUSE.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Sattenspiel, Lisa,  |e author. 
245 1 4 |a The Geographic Spread of Infectious Diseases :   |b Models and Applications /   |c Lisa Sattenspiel ; with contributions from Alun Lloyd. 
264 1 |a Princeton :  |b Princeton University Press,  |c 2009. 
264 3 |a Baltimore, Md. :  |b Project MUSE,   |c 2015 
264 4 |c ©2009. 
300 |a 1 online resource (304 pages):   |b illustrations, maps 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
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490 0 |a Princeton series in theoretical and computational biology 
505 0 |a The art of epidemic modeling : concepts and basic structures -- Modeling the geographic spread of influenza epidemics -- Modeling geographic spread I : population-based approaches -- Spatial heterogeneity and endemicity : the case of measles -- Modeling geographic spread II : individual-based approaches -- Spatial models and the control of foot-and-mouth disease -- Maps, projections, and GIS : geographers' approaches -- Revisiting SARS and looking to the future. 
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. --From publisher's description. 
588 |a Description based on print version record. 
650 7 |a Communicable diseases  |x Epidemiology  |x Mathematical models.  |2 fast  |0 (OCoLC)fst00869892 
650 7 |a Mathematical models.  |2 fast  |0 (OCoLC)fst01012085 
650 7 |a MATHEMATICS  |x Applied.  |2 bisacsh 
650 7 |a MEDICAL  |x Epidemiology.  |2 bisacsh 
650 7 |a MEDICAL  |x Health Risk Assessment.  |2 bisacsh 
650 7 |a mathematical models.  |2 aat 
650 6 |a Modeles mathematiques. 
650 6 |a Maladies infectieuses  |x Épidemiologie  |x Modeles mathematiques. 
650 2 |a Disease Outbreaks  |x statistics & numerical data 
650 2 |a Epidemiologic Methods 
650 2 |a Communicable Diseases  |x epidemiology 
650 2 |a Communicable Diseases  |x transmission 
650 2 |a Models, Theoretical 
650 0 |a Mathematical models. 
650 0 |a Communicable diseases  |x Epidemiology  |x Mathematical models. 
655 7 |a Electronic books.   |2 local 
700 1 |a Lloyd, Alun,  |d 1970-  |e author. 
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856 4 0 |z Texto completo  |u https://projectmuse.uam.elogim.com/book/31140/ 
945 |a Project MUSE - Custom Collection 
945 |a Project MUSE - Archive Complete Supplement III 
945 |a Project MUSE - Archive Political Science and Policy Studies Supplement III