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Essential Epidemiology An Introduction for Students and Health Professionals

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ISBN-10: 0521546613

ISBN-13: 9780521546614

Edition: 2005

Authors: Penny Webb, Sandi Pirozzo, Chris Bain

List price: $62.99
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This is an accessible, easily readable, and thoroughly modern introduction to epidemiology for students of medicine and public health. It combines a strong public health perspective and rationale with modern methodological insights in a coherent and accessible way. It emphasises the fundamental principles common to all areas of epidemiology and thus, unlike many other texts, integrates both public health and clinical epidemiology and the study of infectious and chronic diseases. It aims to give health professionals a good understanding of the methods and potential problems underlying epidemiological data and reports but also provides a thorough introduction for would-be epidemiologists. The…    
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Book details

List price: $62.99
Copyright year: 2005
Publisher: Cambridge University Press
Publication date: 4/28/2005
Binding: Paperback
Pages: 366
Size: 7.00" wide x 9.50" long x 0.50" tall
Weight: 1.760
Language: English

Penny Webb is a Senior Research Fellow and Head, Gynaecological Cancers Group, Queensland Institute of Medical Research, Brisbane, Australia.

Chris Bain is Reader in Epidemiology, School of Population Health, University of Queensland, Brisbane, Australia.

Epidemiology is...
A case of food poisoning
Subdisciplines of epidemiology
On epidemics
An historical epidemic
The beginnings
What does epidemiology offer?
What do epidemiologists do?
A natural experiment
How long is a piece of string? Measuring disease frequency
What are we measuring?
Prevalence and incidence
Measuring disease in epidemiological studies
Measuring disease occurrence using routine data
Other measures commonly used in public health
Measures of mortality related to childbirth and early life
Other measures of health status
Who, what, where and when? Finding and using public health data
Which data?
Raw health data
Summary health data
Gaining access to the data
Watching not waiting: surveillance and epidemiological intelligence
The scope of surveillance
Types of surveillance
Surveillance in practice
Evaluation of surveillance
Why? Linking exposure and disease
Looking for associations
Ratio measures (relative risk)
Difference measures (attributable risk)
Relative risk versus attributable risk
Case-control studies
Solid foundations: research designs for public health
Types of study
Descriptive studies
Analytic studies
Intervention studies or experiments
All that glitters is not gold: the problem of error
Subject selection
Measurement or information error
Assessment of the likely effects of error on the results of a study
Muddied waters: the challenge of confounding
Is alcohol a risk factor for lung cancer?
Criteria for a confounder
The effects of confounding
Control of confounding
Confounding: the bottom line
Bringing it together: reading and writing papers in practice
The research question and study design
The study sample: selection bias
Measuring disease and exposure: measurement bias
Study validity
Descriptive studies
Writing papers
Who sank the boat? Association and causation
What do we mean by a cause?
Association versus causation
Evaluating causation
Evaluating causality in practice: does H. pylori cause stomach cancer?
And then what?
Assembling the building blocks: reviews and their uses
Identifying the literature
Different types of study
Summarising the data
Assessment of causality
Assessing the quality of a systematic review
Making judgements in practice
The end result
Outbreaks, epidemics and clusters
Outbreaks, epidemics, endemics and clusters
Rare disease clusters
Epidemiology of infectious diseases
A causal model
What influences the spread of infectious diseases?
Epidemics or outbreaks
Investigating outbreaks
Tuberculosis: a case study
Prevention: better than cure?
Disease prevention in public health
The scope for preventive medicine
Strategies for prevention
Early detection: what benefits at what cost?
Why screen?
The requirements of a screening programme
The screening programme
Evaluation of a screening programme
The negative consequences of a screening programme
A final word...
What does the future hold for epidemiology?
Answers to questions
Direct standardisation
Standard populations
Calculating cumulative incidence and lifetime risk from routine data
Indirect standardisation
The Mantel-Haenszel method for calculating pooled odds ratios