Continuing in the tradition of award-winning educator and epidemiologist Dr. Leon Gordis, Gordis Epidemiology, 7th Edition, provides a solid introduction to basic epidemiologic principles as well as practical applications in public health and clinical practice, highlighted by real-world examples throughout.

Written by Drs. David D Celentano, Moyses Szklo, and Youssef Farag of Johns Hopkins University, this bestselling text is known for its reader-friendly, accessible writing style and practical approach to a complex and challenging subject, making it a favorite text of students as well as an ideal resource for health care providers, health policy makers, and epidemiologists at all levels of training and practice. 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.

Table of Contents

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

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

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