Modern Infectious Disease Epidemiology

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