Gordis Epidemiology, 7th Edition

• Covers the basic principles and concepts of epidemiology in a clear, uniquely memorable way, using a wealth of full-color figures, graphs, charts, and cartoons to help you understand and retain key information.
• Includes new examples and cases reflecting modern epidemiology, including lessons from the COVID-19 pandemic and other current topics of interest.
• Reflects how epidemiology is practiced today, with chapters progressing from observation and developing hypotheses to data collection and analyses.
• Features end-of-chapter questions for quick self-assessment, and a glossary of genetic terminology.
• Provides more than 200 additional multiple-choice self-assessment questions online.
• Provides a strong basis for understanding the role and importance of epidemiology in today’s data-driven society.
• An eBook version is included with purchase. The eBook allows you to access all of the text, figures, and references, with the ability to search, customize your content, make notes and highlights, and have content read aloud.

Evolve Instructor site with an image/table collection, test bank, and more is available to instructors through their Elsevier sales rep or via request at https://evolve.elsevier.com.

SECTION I The Epidemiologic Approach to Disease and Intervention
1 Introduction
2 The Dynamics of Disease Transmission
3 The Occurrence of Disease: I. Disease Surveillance and Measures of Morbidity
4 The Occurrence of Disease: II. Mortality and Other Measures of Disease Impact
5 Assessing the Validity and Reliability of Diagnostic and Screening Tests
6 The Natural History of Disease: Ways of Expressing Prognosis
SECTION II Using Epidemiology to Identify the Cause of Disease
7 Observational Studies
8 Cohort Studies
9 Comparing Cohort and Case-Control Studies
10 Assessing Preventive and Therapeutic Interventions: Randomized Trials
11 Randomized Trials: Some Further Issues
12 Estimating Risk: Is There an Association?
13 More on Risk: Estimating the Potential for Prevention
14 From Association to Causation: Deriving Inferences From Epidemiologic Studies
15 More on Causal Inference: Bias, Confounding, and Interaction
16 Identifying the Roles of Genetic and Environmental Factors in Disease Causation
SECTION III Applying Epidemiology to Evaluation and Policy
17 Using Epidemiology to Evaluate Health Services
18 Epidemiologic Approach to Evaluating Screening Programs
19 Epidemiology and Public Policy
20 Ethical and Professional Issues in Epidemiology
Answers
Index

David D Celentano, ScD, MHS, Charles Armstrong Chair and Professor, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, Moyses Szklo, MD, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland and Youssef Farag, MD, PhD, MPH, Faculty Director, Postgraduate Medical Education, Harvard Medical School Associate Faculty, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health