Models for Infectious Human Diseases: Their Structure and Relation to Data

doi:10.1017/CBO9780511662935

Models for Infectious Human Diseases

Their Structure and Relation to Data

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Edited by Valerie Isham, University College London, Graham Medley, University of Warwick

Publisher:: Cambridge University Press
Online publication date:: August 2010
Print publication year:: 1996
Online ISBN:: 9780511662935
DOI:: https://doi.org/10.1017/CBO9780511662935

Subjects:: Statistics for Life Sciences, Medicine and Health, Mathematical Physics, Infectious Disease, Medicine, Statistics and Probability
Series:: Publications of the Newton Institute (6)

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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.

Review of the hardback: ‘… a valuable reference tool.’

Robert Hiorns Source: Mathematics Today

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Models for Infectious Human Diseases

Their Structure and Relation to Data

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