Overview

Highly practical yet authoritative, the new edition of Modern Infectious Disease Epidemiology has been thoroughly updated and revised in line with changing health concerns. This successful book continues to outline the tools available to the infectious disease student or clinician seeking a thorough background in the epidemiology of infectious and communicable diseases. Building on many case studies and practical scenarios included, the book then uses the tools learnt to illustrate the fundamental concepts of the study of infectious diseases, such as infection spread, surveillance and control, infectivity, incubation periods, seroepidemiology, and immunity in populations. New edition of this popular book, completely revised and updated Retains the clarity and down-to-earth approach praised in previous editions Successfully combines epidemiological theory with the principles of infectious disease treatment and control A highly experienced author brings a personal and unique approach to this important subject All students of epidemiology, infectious disease medicine and microbiology will find this text invaluable, ensuring its continued popularity.

Full Product Details

Author:   Johan Giesecke (Professor of Infectious Disease Epidemiology, Karolinska Institute, Stockholm, Sweden)
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Edition:   3rd edition
Weight:   0.580kg
ISBN:  

9781138704633

ISBN 10:   1138704636
Pages:   248
Publication Date:   27 March 2017
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

1 What is special about infectious disease epidemiology? 2 Definitions 3 Descriptive epidemiology 4 Risk, relative risk, and attack rate 5 The case‑control study: odds, odds ratio. The concept of confounding 6 The cohort study: rates. The concept of bias 7 The cohort study: rates. The concept of bias 8 Clinical epidemiology: sensitivity, specificity, misclassification 9 Multivariate analysis and interaction 10 Survival analysis 11 Mathematical models for epidemics 12 Detection and analysis of outbreaks 13 Routine surveillance of infectious diseases 14 Measuring infectivity 15 Studying the natural history of infectious diseases 16 Seroepidemiology 17 The study of contact patterns 18 Methods to decide whether or not an illness is infectious 19 The epidemiology of vaccination 20 The use of subtyping

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Author Information

Johan Giesecke, Professor of Infectious Disease Epidemiology, Karolinska Institute, Stockholm, Sweden

Tab Content 6

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