Description
Written by renowned epidemiologists and public health experts, this unique text provides complete, concise coverage of epidemiology, biostatistics, preventive medicine, and public health in clear, easy-to-understand terms. One convenient volume delivers must-know content in four complex areas—information that's sure to be covered in today's classrooms and on USMLE exams—presented with a clinical focus and real-life medical examples throughout. Depth of coverage, concise writing style, outstanding online review questions, a clinical emphasis … these features and more make Jekel's your go-to resource for learning, study, and review.- Focuses on clinical problem solving and decision making using epidemiologic concepts and examples- Contains more clinical cases throughout, including global examples.- Offers expanded coverage of the impact of big data and precision medicine, as well as an updated and reorganized biostatistics section- Features quick-reference boxes that showcase key concepts and calculations, and dynamic illustrations that facilitate learning using a highly visual approach- Provides almost 300 multiple-choice chapter review questions and answers in print with additional questions and more online at Student Consult- Aligns content to board blueprints for the USMLE as well as the three specialties certified by the American Board of Preventive Medicine: Occupational Medicine, and Public Health & General Preventive Medicine—and is recommended by the ABPM as a top review source for its core specialty examination
Table of Contents
Section 1 – Epidemiology1. Basic Epidemiologic Concepts and Principles2. Epidemiological Data Measurements3. Epidemiologic Surveillance and Epidemic Outbreak Investigation4. The Study of Risk Factors and Causation5. Common Research Designs and Issues in Epidemiology6. Assessment of Risk and Benefit in Epidemiologic Studies7. Understanding the Quality of Medical DataSection 2 – Biostatistics8. Describing Variation and Distribution of Data9. Testing Hypotheses10. Analyzing Relationships between Two Variables11. Analyzing Relationships Between Multiple Variables12. Using Statistics to Design Studies: Sample Size Calculation, Randomization, and Controlling for Multiple Hypotheses 13. Using Statistics to Answer Clinical Questions: Meta-analysis, Bayes Theorem and Predictive Values of Tests, and Decision AnalysisSection 3 – Preventive Medicine14. Introduction to Preventive Medicine15. Methods of Primary Prevention: Health Promotion and Disease Prevention16. Principles and Practice of Secondary Prevention17. Methods of Tertiary Prevention18. Developing Recommendations for Clinical Preventive Services19. Chronic Disease Prevention20. Prevention of Infectious Diseases21. Prevention of Mental Health and Behavior Problems22. Occupational Medicine and Environmental Health23. Injury PreventionSection 4 – Public Health24. Introduction to Public Health25. The US Public Health System: Structure and Function26. Improving Public Health in Communities27. Disaster Epidemiology and Surveillance28. Health Services Organization, Financing, and Quality Improvement29. Health Care Organization, Policy, and Financing30. Integrating Efforts for Clinical Care, Research, and Public Health Action – One Science, One Planet, One Health
