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Models for infectious human diseases : their structure and relation to data / edited by Valerie Isham, Graham Medley.

Contributor(s): Material type: TextTextSeries: Publications of the Newton Institute ; 6.Publisher: Cambridge : Cambridge University Press, 1996Description: 1 online resource (xxiii, 490 pages) : digital, PDF file(s)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780511662935 (ebook)
Subject(s): Additional physical formats: Print version: : No titleDDC classification:
  • 614.4/01/5118 20
LOC classification:
  • RA643 .M57 1996
Online resources:
Incomplete contents:
Transmissible diseases with long development times and vaccination strategies -- Dynamics of immunity (development of disease within individuals) -- Population heterogeneity (mixing) -- Consequences of treatment interventions -- Prediction.
Summary: 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.
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Title from publisher's bibliographic system (viewed on 05 Oct 2015).

Transmissible diseases with long development times and vaccination strategies -- Dynamics of immunity (development of disease within individuals) -- Population heterogeneity (mixing) -- Consequences of treatment interventions -- Prediction.

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.

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