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Jekel's Epidemiology, Biostatistics, Preventive Medicine and Public Health, 5th Edition

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Joann G. Elmore, MD, MPH, Dorothea Wild, MD, MPH, David L. Katz, MD, MPH, and Heidi D. Nelson, MD, MPH, MACP
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A reliable source for complete and concise coverage of epidemiology, biostatistics, preventive medicine, and public health. Written by renowned experts in the fields of epidemiology and public health, material is presented with a clinical focus and real-life medical examples.

Key Features:
  • Focuses on clinical problem solving and decision making using epidemiologic concepts and examples
  • Contains more clinical cases throughout, including global examples and dentistry cases
  • Offers expanded coverage of the impact of big data and precision medicine
  • Includes a question bank for self-assessment and board prep - for USMLE as well as the three specialties certified by the ABPM: Occupational Medicine, Aerospace Medicine, and General and Preventive Medicine
  • Features quick-reference boxes that showcase key concepts and calculations, and dynamic illustrations that facilitate learning using a highly visual approach
  • Provides access to 300 multiple-choice chapter review questions and answers, a comprehensive exam, chapter overviews, a One Health chapter supplement, and more online at Student Consult
  • Aligns content to board blueprints for the USMLE, and is recommended by the American Board of Preventive Medicine as a top review source for its core specialty examination
  • Includes an Enhanced eBook version with purchase
Table of Contents

Section 1: Epidemiology
1. Basic Epidemiologic Concepts and Principles
2. Epidemiological Data Measurements
3. Epidemiologic Surveillance and Epidemic Outbreak Investigation
4. The Study of Risk Factors and Causation
5. Common Research Designs and Issues in Epidemiology
6. Assessment of Risk Benefit in Epidemiologic Studies
7. Understanding the Quality of Data in Clinical Medicine

Section 2: Biostatistics

8. Describing Variations in Data
9. Testing Hypotheses
10. Analyzing Relationships Between Two Variables
11. Analyzing Relationships Between Multiple Variables
12. Using Statistics to Design Studies
13. Using Statistics to Answer Clinical Questions: Meta-analysis, Bayes Theorem and Predictive Values of Tests, and Decision Analysis

Section 3: Preventive Medicine

14. Introduction to Preventive Medicine
15. Methods of Primary Prevention: Health Promotion and Disease Prevention
16. Principles and Practice of Secondary Prevention
17. Methods of Tertiary Prevention
18. Clinical Preventive Services: Creating and Using Guidelines
19. Chronic Disease Prevention
20. Prevention of Infectious Diseases
21. Mental and Behavioral Health
22. Occupational Medicine and Environmental Health
23. Injury Prevention

Section 4: Public Health
24. Introduction to Public Health
25. Public Health System: Structure and Friction
26. Public Health Practice in Communities
27. Disaster Epidemiology and Surveillance
28. Health Management, Health Administration, and Quality Improvement
29. Health Care Organization, Policy, and Financing
30. One Health
31. PowerPoints for Online
Publication Date 2020
Format Softcover, 464 Pages
Product Code 27103
Joan G. Elmore, MD, MPH, Professor of Medicine, David Geffen School of Medicine at UCLA; Adjunct Professor of Medicine, University of Washington School of Medicine
Dorothea Wild, MD, MPH, Dr. Med, Associate Director, Combined Internal Medicine/Preventive Medicine Residency Program, Griffin Hospital, Derby, CT
David L. Katz, MD, MPH, Associate Clinical Professor of Epidemiology and Public Health and Medicine, Yale University School of Medicine, New Haven, CT; Director, Yale-Griffin Preventive Research Center, Derby, CT
Heidi Nelson, MD, MPH, MACP, Oregon Health & Science University, United States