Modern Infectious Disease Epidemiology

Authoritative and detailed, yet concise and highly readable, this successful book continues to combine the principles of epidemiology with key fundamental concepts of infectious disease such as infection surveillance and control, incubation periods, seroepidemiology and immunity.

Informationen zum Autor Johan Giesecke, Professor of Infectious Disease Epidemiology, Karolinska Institute, Stockholm, Sweden Klappentext 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 updatedRetains the clarity and down-to-earth approach praised in previous editionsSuccessfully combines epidemiological theory with the principles of infectious disease treatment and controlA highly experienced author brings a personal and unique approach to this important subjectAll students of epidemiology, infectious disease medicine and microbiology will find this text invaluable, ensuring its continued popularity. Zusammenfassung Authoritative and detailed, yet concise and highly readable, this successful book continues to combine the principles of epidemiology with key fundamental concepts of infectious disease such as infection surveillance and control, incubation periods, seroepidemiology and immunity. Inhaltsverzeichnis 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 ...

Klappentext

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.

Inhalt

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