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.
Features
Concise yet comprehensive coverage ensures a thorough and quick understanding of all principles outlined
Numerous practical examples bring the text and the subject to life
Brings the study of epidemiology into the real world of the infectious disease clinic
Does not assume a comprehensive understanding of statistics but builds from basics
Down to earth yet authoritative and praised for its clarity of style
Numerous simple and practical illustrations further help understanding of the text
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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