
Epidemiology Kept Simple
An Introduction to Traditional and Modern Epidemiology
- English
- ePUB (mobile friendly)
- Available on iOS & Android
About this book
Epidemiology Kept Simple introduces the epidemiological principles and methods that are increasingly important in the practice of medicine and public health. With minimum use of technical language it fully explains terminology, concepts, and techniques associated with traditional and modern epidemiology. Topics include disease causality, epidemiologic measures, descriptive epidemiology, study design, clinical and primary prevention trials, observational cohort studies, case-control studies, and the consideration of random and systematic error in studies of causal factors. Chapters on the infectious disease process, outbreak investigation, and screening for disease are also included. The latter chapters introduce more advanced biostatistical and epidemiologic techniques, such as survival analysis, Mantel-Haenszel techniques, and tests for interaction.
This third edition addresses all the requirements of the American Schools of Public Health (ASPH) Epidemiological Competencies, and provides enhanced clarity and
readability on this difficult subject. Updated with new practical exercises, case studies and real world examples, this title helps you develop the necessary tools to interpret epidemiological data and prepare for board exams, and now also includes review questions at the end of each chapter.
Epidemiology Kept Simple continues to provide an introductory guide to the use of epidemiological methods for graduate and undergraduate students studying public health, health education and nursing, and for all practicing health professionals seeking professional development.Â
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Information
Chapter 1
Epidemiology Past and Present
- What is epidemiology?
- What is public health?
- What is health?
- Additional useful terms
- Uses of epidemiology
- Twentieth century changes in demographics and disease patterns
- Mortality trends since 1950
- Trends in life expectancy
- Roots of epidemiology
- John Graunt
- Germ theory
- MĂŠdecine d'observation and La MĂŠthode Numerique (Pinel and Louis)
- The London Epidemiological Society
- William Farr
- John Snow
- Cholera in Victorian England
- Miasma theory of transmission
- Snow's theory
- Snow's ecological analysis
- Snow's retrospective cohort analysis
- Snow's case series
- Publication
- Twentieth-century epidemiology
- Emile Durkheim
- Joseph Goldberger
- The British Doctors Study
- Epidemiology and its uses
- Evolving patterns of morbidity and mortality
- Selected historical figures and events
1.1 Epidemiology and its uses
What is epidemiology?
- the study of the distribution and determinants of diseases and injuries in populations (Mausner and Baum, 1974);
- the study of the occurrence of illness (Gaylord Anderson cited in Cole, 1979, p. 15);
- a method of reasoning about disease that deals with biological inferences derived from observations of disease phenomena in population groups (Lilienfeld, 1978b, p. 89);
- the quantitative analysis of the circumstances under which disease processes, including trauma, occur in population groups, and factors affecting their incidence, distribution, and host responses, and the use of this knowledge in prevention and control (Evans, 1979, p. 381).
What is public health?
What is health?
Additional useful terms
| Epidemiology: the study of the distribution and determinants of health-related states or events in specified populations, and the application of this study to the control of health problems |
| Public health: organized effort to prevent disease and promote health |
| Endemic: occurring at a consistent or regular rate |
| Epidemic: occurring in clear excess of normalcy |
| Pandemic: an epidemic that affects several countries or continents |
| Morbidity: related to or caused by disease or disability |
| Mortality: related to death |
Table of contents
- Cover
- Title Page
- Copyright
- Dedication
- Preface to the Third Edition
- Preface to the First Edition
- Acknowledgments
- Chapter 1: Epidemiology Past and Present
- Chapter 2: Causal Concepts
- Chapter 3: Epidemiologic Measures
- Chapter 4: Descriptive Epidemiology
- Chapter 5: Introduction to Epidemiologic Study Design
- Chapter 6: Experimental Studies
- Chapter 7: Observational Cohort Studies
- Chapter 8: CaseâControl Studies
- Chapter 9: Error in Epidemiologic Research
- Chapter 10: Screening for Disease
- Chapter 11: The Infectious Disease Process
- Chapter 12: Outbreak Investigation
- Chapter 13: Confidence Intervals and p-Values
- Chapter 14: MantelâHaenszel Methods
- Chapter 15: Statistical Interaction: Effect Measure Modification
- Chapter 16: Case Definitions and Disease Classification
- Chapter 17: Survival Analysis
- Chapter 18: Current Life Tables
- Chapter 19: Random Distribution of Cases in Time and Space
- Answers to Exercises and Review Questions
- Appendix 1: 95% Confidence Limits for Poisson Counts
- Appendix 2: Tail Areas in the Standard Normal (Z) Distribution: Double These Areas for Two-Sided p-Values
- Appendix 3: Right-Tail Areas in Chi-Square Distributions
- Appendix 4: Case StudyâCigarette Smoking and Lung Cancer
- Appendix 5: Case StudyâTampons and Toxic Shock Syndrome
- Index