Models for Infectious Human Diseases: Their Structure and Relation to Data
Infectious disease accounts for more death and disability worldwide than either noninfectious disease or injury. This book contains a number of different quantitative approaches to understanding the patterns of such diseases in populations, and the design of control strategies to lessen their effect. The papers are written by experts with varied mathematical expertise and involvement in biological, medical and social sciences. The volume increases interaction between specialties by describing research on many infectious diseases that affect humans, including viral diseases, such as measles and AIDS, and tropical parasitic infections. Sections deal with problems relating to transmissible diseases with long development times (such as AIDS); vaccination strategies; the consequences of treatment interventions; the dynamics of immunity; heterogeneity of populations; and prediction. On each topic, the editors have chosen papers that bring together contrasting approaches via the development of theoretical results, the use of relevant knowledge from applied fields, and the analysis of data.
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Models for Infectious Human Diseases: Their Structure and Relation to Data
Infectious disease accounts for more death and disability worldwide than either noninfectious disease or injury. This book contains a number of different quantitative approaches to understanding the patterns of such diseases in populations, and the design of control strategies to lessen their effect. The papers are written by experts with varied mathematical expertise and involvement in biological, medical and social sciences. The volume increases interaction between specialties by describing research on many infectious diseases that affect humans, including viral diseases, such as measles and AIDS, and tropical parasitic infections. Sections deal with problems relating to transmissible diseases with long development times (such as AIDS); vaccination strategies; the consequences of treatment interventions; the dynamics of immunity; heterogeneity of populations; and prediction. On each topic, the editors have chosen papers that bring together contrasting approaches via the development of theoretical results, the use of relevant knowledge from applied fields, and the analysis of data.
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Models for Infectious Human Diseases: Their Structure and Relation to Data

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

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

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

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Overview

Infectious disease accounts for more death and disability worldwide than either noninfectious disease or injury. This book contains a number of different quantitative approaches to understanding the patterns of such diseases in populations, and the design of control strategies to lessen their effect. The papers are written by experts with varied mathematical expertise and involvement in biological, medical and social sciences. The volume increases interaction between specialties by describing research on many infectious diseases that affect humans, including viral diseases, such as measles and AIDS, and tropical parasitic infections. Sections deal with problems relating to transmissible diseases with long development times (such as AIDS); vaccination strategies; the consequences of treatment interventions; the dynamics of immunity; heterogeneity of populations; and prediction. On each topic, the editors have chosen papers that bring together contrasting approaches via the development of theoretical results, the use of relevant knowledge from applied fields, and the analysis of data.

Product Details

ISBN-13: 9780521453394
Publisher: Cambridge University Press
Publication date: 03/29/1996
Series: Publications of the Newton Institute , #6
Pages: 516
Product dimensions: 5.98(w) x 9.02(h) x 1.30(d)

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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