Models for Infectious Human Diseases
Their Structure and Relation to Data
£62.99
Part of Publications of the Newton Institute
- Editors:
- Valerie Isham, University College London
- Graham Medley, University of Warwick
- Date Published: April 2008
- availability: Available
- format: Paperback
- isbn: 9780521059961
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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.
Read more- The breadth of different approaches (statistical and mathematical) is unique for a single volume
- The breadth of different diseases makes it a good introduction to the field
- Up-to-date survey of current modelling methodology
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Review of the hardback: '… a valuable reference tool.' Robert Hiorns, Mathematics Today
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×Product details
- Date Published: April 2008
- format: Paperback
- isbn: 9780521059961
- length: 516 pages
- dimensions: 228 x 152 x 36 mm
- weight: 0.81kg
- contains: 97 b/w illus. 36 tables
- availability: Available
Table of Contents
Part I. Transmissible Diseases with Long Development Times and Vaccination Strategies
Part II. Dynamics of Immunity (Development of Disease within Individuals)
Part III. Population Heterogeneity (Mixing) Modeling
Part IV. Consequences of Treatment Interventions
Part V. Prediction.
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