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Models for Infectious Human Diseases: Their Structure and Relation to Data - Publications of the Newton Institute (Paperback)
  • Models for Infectious Human Diseases: Their Structure and Relation to Data - Publications of the Newton Institute (Paperback)
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Models for Infectious Human Diseases: Their Structure and Relation to Data - Publications of the Newton Institute (Paperback)

(editor), (editor)
£60.00
Paperback 516 Pages / Published: 04/02/2008
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Infectious disease accounts for more death and disability globally than either non-infectious disease or injury. This book contains a breadth of different quantitative approaches to understanding the patterns of infectious diseases in populations, and the design of control strategies to lessen their effect. The contributors bring a great variety of mathematical expertise (including deterministic and stochastic modelling and statistical data analysis) and involvement in a wide range of applied fields across the spectrum of biological, medical and social sciences. The aim is to increase interaction between specialities by describing research on many of the infectious diseases that affect humans, including both viral diseases like measles and AIDS and tropical parasitic infections. The papers are divided into groups dealing with problems relating to transmissible diseases, vaccination strategies, the consequences of treatment interventions, the dynamics of immunity, heterogeneity of populations, and prediction.

Publisher: Cambridge University Press
ISBN: 9780521059961
Number of pages: 516
Weight: 810 g
Dimensions: 228 x 152 x 36 mm


MEDIA REVIEWS
Review of the hardback: '... a valuable reference tool.' Robert Hiorns, Mathematics Today
"The case of infectious diseases is particularly interesting in that the spread of a disease within a population is determined in part by the structure of that population while infections do themselves determine aspects of population dynamics." B.S. Drasar, Epidemiol.Infect.
"...the topics presented are cutting edge, and need to be at the disposal of epidemiologists....this book should encourage public health researchers, epidemiologists and biostatisticians to consider broad applications and the use of different methods even more." Rob Lyerla, Journal of the American Statistical Association

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