Modern infectious disease epidemiology
Author(s)
Bibliographic Information
Modern infectious disease epidemiology
Arnold , Distributed in the USA by Oxford University Press, c2002
2nd ed
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
The second edition of Modern Infectious Disease Epidemiology, in line with changing health concerns, is a thorough revision of the first. Written from an infectious disease perspective throughout, the book aims to teach epidemiology to those with a background in this field. It seeks to fill the gap between the standard textbooks of epidemiology, which rarely approach the subject from an infectious disease perspective, and standard books on infection surveillance and control, which tend to slant more towards microbiology and practical measures than towards analytical epidemiology.
Divided into two parts, the first covers the tools of epidemiology much like other textbooks, but always from an infectious disease perspective. The second covers the role of contact pattern from an assessment angle, and uses the tools learnt to illustrate the study of fundamental infectious disease concepts, such has infectivity, incubation periods, seroepidemiology and immunity.
This detailed theoretical epidemiology textbook is clearly set out, with an expanded chapter on practical statistical methods, and a new chapter on descriptive epidemiology. Key features include new clinical examples and infectious disease problems of recent interest, such as tuberculosis and vCJD. All students of epidemiology, infectious disease medicine, and microbiology will find this an invaluable guide.
Table of Contents
What Is Special About Infectious Disease Epidemiology?
Definitions
Risk, Relative Risk and Attack Rate
Descriptive Epidemiology
The Case-Control Study: Odds, Odds Ratios. The Concepts of Confounding
The Cohort Study: Rates. The Concept of Bias
Some Statistical Procedures That Are Often Used in Epidemiology
Clinical Epidemiology: Sensitivity, Specificity, Misclassification
Multivariate Analysis and Interaction
Survival Analysis
Mathematical Models for Epidemics
Detection and Analysis of Outbreaks
Routine Surveillance of Infectious Diseases
Measuring Infectivity
Studying The Natural History of Infectious Diseases
Seroepedemiology
The Study of Contact Patterns
Methods to Decide Whether or Not an Illness is Infectious
The Epidemiology of Vaccination
The Epidemiology of Aids and VCJD
More To Read
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